The 100 most-cited articles in F1000Research, 2024

Background: As Artificial Intelligence (AI) technologies such as Generative AI (GenAI) have become more common in academic settings, it is necessary to examine how these tools interact with issues of authorship, academic integrity, and research methodologies. The current landscape lacks cohesive policies and guidelines for regulating AI's role in academic research which has prompted discussions among publishers, authors, and institutions. Methods: This study employs inductive thematic analysis to explore publisher policies regarding AI-assisted authorship and academic work. Our methods involved a two-fold analysis using both AI-assisted and traditional unassisted techniques to examine the available policies from leading academic publishers and other publishing or academic entities. The framework was designed to offer multiple perspectives, harnessing the strengths of AI for pattern recognition while leveraging human expertise for nuanced interpretation. The results of these two analyses are combined to form the final themes. Results: Our findings indicate six overall themes, three…

Background: A major workforce inadequacy and the change in skill demanded have been observed due to the digital transformation. This study aims to identify the digital skills demanded by employers, focusing on exploring the skills gaps among the graduates that impact graduate employability. Methods: A cross sectional online survey was conducted among the companies registered with the Malaysian Productivity Corporation (MPC). Demand for digital skills was assessed using descriptive analysis of mean scores of the employers' rating in digital skills at present and in future. A pair sample t-test was performed to explore the existence of skill gaps, by comparing the demand versus competencies of the graduates' digital skills in the workplace. Results: Of the 393 responses collected, 376 responses were used for final analysis. The findings show that the current top three digital skills in demand are "information and data literacy", "problem-solving", and "digital content creation". Whereas the top digital skills for future demand are "problem-solving", "safety", and "communication and…

Background Inquiry-based learning (IBL) is a student-centred pedagogical approach that promotes critical thinking, creativity, and active engagement. IBL encourages students to explore, question, and construct their own understanding, making it an effective method for enhancing educational experiences. This systematic review aims to assess the impact of IBL on educational outcomes and identify best practices for its implementation across different disciplines and educational levels. Methods The review involved a comprehensive analysis of peer-reviewed articles focusing on IBL across various educational settings. The selected studies encompassed a wide range of disciplines, educational levels, and geographic contexts. Criteria for inclusion involved examining the impact of IBL on students’ critical thinking, motivation, academic achievement, and overall learning experiences. Results Findings indicate that IBL positively impacts students’ critical thinking skills, motivation, and academic performance. Effective integration of IBL into curricula requires several key strategies:…

Cheating and plagiarism have become serious problems in higher education institutions (HEIs). It affects educational quality as well as the reputation of higher education. The purpose of this study is to identify the most prevalent types of cheating and plagiarism, as well as the elements that contribute to cheating and plagiarism, and to present solutions to this recurring problem. This paper systematically reviews 45 articles published from 2018, to 2022, aligned with the PRISMA guidelines in the selection, filtering, and reporting of the papers. This review shows that factors such as increased pressure on students, poor academic integrity awareness, lack of up-to-date academic honor codes, and the unethical application of AI tools are prime contributing factors to cheating and plagiarism in HEIs. In a broader sense, all these factors are classified as individual, social, cultural, institutional, and technological factors that are responsible for this problem. This problem can be reduced by establishing ethical and moral development tutorials as well as formulating up-to-date…

Climate change poses a significant threat to Somalia’s food security and stability. This review examines the complex interplay between climate change impacts, food insecurity, and conflict in Somalia. Recent climate data and forecasts paint a concerning picture: the rainfall probabilistic forecast for April- June 2024 indicates a high likelihood of above-normal rainfall across much of Somalia, thus increasing the flood risks. Concurrently, temperature forecasts project above-normal temperatures, potentially exacerbating drought conditions between the rainy seasons. Historical climatology data reveal Somalia’s vulnerability, with average temperatures ranging from 25°C to 30°C and significant seasonal variations affecting agriculture and water resources. These climate trends, combined with ongoing political instability and weak governance, have created a storm of challenges. This perspective explores how recurrent droughts and floods disrupt agricultural production, decimate livestock, and displace vulnerable populations, particularly those affecting rural and nomadic communities. It…

RATIONALE: This study critically examines Nigeria's journey towards the Sustainable Development Goals (SDGs) since their inception. Nigeria, a United Nations member state and a major oil producer, faces challenges like socio-economic disparities, political instability, corruption, and prevalent poverty, despite its cultural richness and natural resources. OBJECTIVES: The primary aim is to evaluate Nigeria's alignment with the SDGs within its national development frameworks, highlighting the significance of these goals in addressing the country's multifaceted developmental challenges. These challenges span various sectors including poverty, health, education, and environmental sustainability. METHODS: The study conducts a detailed analysis of Nigeria's background, including its cultural diversity and developmental hurdles. It reviews national policies and initiatives, notably the Economic Recovery and Growth Plan (ERGP), and the role of the Ministry of Budget and National Planning in coordinating SDG efforts. RESULTS: Findings suggest partial progress in SDG integration within…

Introduction: This research is a systematic review aimed at synthesizing scientific evidence on the causes of university dropout, focusing on the subcategories of vocational guidance, academic performance, socioeconomic status, and institutional aspects between 2020 and June 2024. Methods: Only articles addressing university dropout were considered, analyzing dimensions such as vocational guidance, academic performance, socioeconomic status, and institutional aspects. Articles published in indexed scientific journals with double-blind, double-blind peer, or open reviews between 2020 and June 2024 were included. The main databases used were Scopus, Web of Science, and Google Scholar. To assess the risk of bias in qualitative studies, the criteria from the article "Validity criteria for qualitative research: three epistemological strands for the same purpose" were used. For quantitative studies, the criteria from the article "Evaluating survey research in articles published in Library Science journals" were followed. For mixed-method studies, both sets of criteria were combined.…

The routine genomic surveillance of pathogens in diverse geographical settings and equitable data sharing are critical to inform effective infection control and therapeutic development. The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of routine genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to detect emerging variants of concern. However, the majority of high-income countries sequenced >0.5% of their COVID-19 cases, unlike low- and middle-income countries. By the end of 2022, many countries around the world had managed to establish capacity for pathogen genomic surveillance. Notably, Beta and Omicron; 2 of the 5 current SARS-CoV-2 variants of concern were first discovered in Africa through an aggressive sequencing campaign led by African scientists. To sustain such infrastructure and expertise beyond this pandemic, other endemic pathogens should leverage this investment. Therefore, countries are establishing multi-pathogen genomic surveillance strategies. Here we provide a catalog of the current landscape of sequenced…

The material extrusion process has been widely used to manufacture custom products. However, the surface texture varies due to the additive mechanism of the process, which depends on the layer height and surface orientation, resulting in varying average surface roughness values for inclined, flat and vertical surfaces. Different strand welding conditions result in non-uniform internal stresses, surface distortions, layer traces, weak bonding, non-uniform pores and material overflow. This paper comprehensively examines material extrusion process achievements in surface texture quality and studies and summarises the most influential processing parameters. Parameter effects are critically discussed for each topic; flat, inclined, and vertical surfaces. The results of this research help reduce post-processing.

snake venom research: a community discussion' meeting was held virtually. This webinar brought together researchers from around the world to discuss current neutralisation of venom lethality mouse assays that are used globally to assess the efficacy of therapies for snakebite envenoming. The assay's strengths and weaknesses were highlighted, and we discussed what improvements could be made to refine and reduce animal testing, whilst supporting preclinical antivenom and drug discovery for snakebite envenoming. This report summarises the issues highlighted, the discussions held, with additional commentary on key perspectives provided by the authors.

Background: The most recent advances in Computed Tomography (CT) image reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to drawbacks in Iterative reconstruction (IR) techniques such as negative image texture and nonlinear spatial resolutions, DLIRs are gradually replacing them. However, the potential use of DLIR in Head and Chest CT has to be examined further. Hence, the purpose of the study is to review the influence of DLIR on Radiation dose (RD), Image noise (IN), and outcomes of the studies compared with IR and FBP in Head and Chest CT examinations. Methods: We performed a detailed search in PubMed, Scopus, Web of Science, Cochrane Library, and Embase to find the articles reported using DLIR for Head and Chest CT examinations between 2017 to 2023. Data were retrieved from the short-listed studies using Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Results: Out of 196 articles searched, 15 articles were included. A total of 1292 sample size was included. 14 articles were rated as high and 1 article…

Background: Pedagogical best practices play a pivotal role in ensuring the academic success of students within the higher education landscape. This study aims to systematically synthesize innovative pedagogical best practices within the university context. Methods: We conducted a thorough systematic review using the rigorous PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. Our review involved comprehensive searches of scientific databases, including Eric, Scopus, and Proquest, covering both Spanish and English publications. We strategically employed Boolean operators like AND and OR to create a robust search equation. Our primary research question guiding this investigation was: "What innovative pedagogical practices have been developed in university settings to improve teaching and learning effectiveness?" This central question led us to delve deeply into the strategies utilized, pedagogical approaches adopted, and the noticeable impact achieved after their implementation. Additionally, we carefully established stringent inclusion and…

Background: Breast and esophageal cancer are the most aggressive and prominent causes of death worldwide. In addition, these cancers showed resistance to current chemotherapy regimens with limited success rates and fatal outcomes. Recently many studies reported the significant cytotoxic effects of phenolic and terpene fractions extracted from various Prunus species against different cancer cell lines. As a result, it has a good chance to be tested as a complement or replacement for standard chemotherapies. Methods: The study aimed to evaluate the cytotoxicity of phenolic and terpene fractions extracted from Iraqi Prunus arabica on breast (AMJ13) and esophageal (SK-GT-4) cancer cell lines by using the MTT assay (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide). Analysis using the Chou-Talalay method was performed to assess the synergistic effect between the extracted fractions and chemotherapeutic agent (docetaxel). Moreover, high-performance liquid chromatography (HPLC) analysis was conducted for the quantitative determination of different bioactive molecules of…

Background The postural abnormality, forward shoulder posture (FSP), is the most common cause of respiratory impairment in older individuals with chronic obstructive pulmonary disease (COPD). A recent study found that performing pectoral stretching and scapular strengthening exercises for eight weeks could reduce FSP in healthy participants. We aimed to determine the effects of pectoral stretching and scapular stabilizer strengthening exercises on FSP, chest wall mobility, respiratory muscle strength, and pulmonary function in male patients with COPD. Methods This study was randomized clinical trial. Forty male COPD patients with FSP aged 60-90 years were included and randomly allocated to control (n=20) and exercise (n=20) groups. Following completion of the scapulothoracic exercises (three days/week, for eight weeks), respiratory functions were assessed by measuring the magnitude of FSP, chest mobility, respiratory muscle strength, and pulmonary functions. Results FSP and thoracic kyphosis angle significantly decreased compared to controls (p<0.001, p<0.001). Middle and lower…

Background: One of the largest hazards to human health is obesity, which is intimately related to sedentarism and physical inactivity. Understanding the perspectives and attitudes of adults with overweight or obesity towards their lifestyle choices related to sedentary behavior and physical activity is essential for mitigating associated health risks. Objective: This systematic review aims to collate the extent of qualitative research on the perception of sedentary behavior and physical activity among adults with overweight and obesity. Methods: ) were included in this systematic review. Data extraction utilized Rayyan.qcri.org software, and studies were critically appraised using Joanna Briggs's Institute checklist for qualitative research. Results: The included studies revealed a diverse array of themes, wherein a few perceived factors reported towards sedentary behavior were lack of awareness about the hazards, mode of relaxation, family commitment, technology use, motivation deficits, and fatigue. Barriers to physical activity encompassed social, cultural, and environmental…

Background Ashwagandha is a well-known Ayurvedic herb used for youthful vigor and wellbeing. This study investigated the effects of 600 mg standardized root extract (>5% withanolides) of Ashwagandha ( Withania somnifera ) on muscle size, strength and cardiorespiratory endurance following resistance training. Methods In this eight-week, parallel-group, multicenter, randomized, double-blind, placebo-controlled clinical study, 80 healthy male and female participants aged 18-45 years, who engaged in regular physical activity were randomly allocated in a 1:1 ratio to receive Ashwagandha (AG, n=40) 300 mg capsules twice daily for eight weeks, or identical placebo (PB, n=40). Seven (3 AG, 4 PB) participants were excluded due to poor compliance. All participants conducted eight-week resistance training. Study outcomes included muscle strength (1RM bench press and leg extension), muscle size (circumference of arm, chest and upper thigh) and cardio-respiratory endurance (VO2max) assessed at baseline and at eight weeks. Analysis of covariance (ANCOVA) was used to estimate adjusted differences…

Background Leukemia, a heterogeneous group of blood cancers, poses significant challenges to global health due to its complexity, diverse risk factors, and variable outcomes. Accurate and early diagnosis is critical but remains a significant hurdle, particularly in low-resource settings. Recent advancements in artificial intelligence (AI) and image processing offer transformative solutions to improve leukemia detection and classification, addressing limitations in traditional diagnostic methods. Methods This study systematically reviewed over 25,000 scientific articles sourced from Scopus, employing a PRISMA-guided methodology to ensure a comprehensive and rigorous analysis. The analysis focused on the application of AI, particularly convolutional neural networks (CNNs), in diagnosing four primary leukemia types: acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), and chronic myeloid leukemia (CML). It also examined global epidemiological trends, risk factors, and disparities in healthcare access. Results Key risk factors for…

Biopesticides are pest control products derived from natural sources such as microbes, macro-organisms (insects and pathogens), plant extracts, and certain minerals. Many biopesticides are considered environmentally safe and can complement or substitute conventional chemical pesticides. They can also be highly specific or broad spectrum with a unique mode of action controlling a wide range of pest species. Due to their target-specificity and low to no environmental residuality, biopesticides conform to the 3 pillars of Climate-Smart Agriculture, the Sustainable Development Goals, and, ultimately, the Paris Agreement. This review focuses largely on microbial biopesticides derived from fungi, bacteria, viruses, and nematodes. It discusses (i) the various microbial biopesticide formulations, (ii) the mode of microbial biopesticide action, (iii) the factors that affect the potential efficacy of biopesticides, (iv) challenges to the adoption of microbial biopesticides, and (v) the role of microbial biopesticides in Integrated Pest Management programs. Finally, advancements in application…

Digital transformation has been one of the main trends in organizations in recent years, and digital literacy is a critical factor in the success of this transformation. Digital transformation involves the use of digital technologies to improve an organization’s processes, products, and services. For this transformation to be successful, it is necessary for employees to have knowledge of and skills in digital technologies. Digital literacy allows employees to understand technologies and their applications, know how to use them efficiently and safely, evaluate and select the most appropriate digital tools for each task, and be prepared to deal with problems and challenges that arise in the digital environment. Thus, this study is relevant because it seeks to understand how digital literacy can impact Digital Transformation in organizations and, through the construction of an explanatory model, allows the identification of variables that influence this relationship by developing strategies to improve the digital literacy of employees in organizations.

Background: Glaucoma and diabetic retinopathy (DR) are the leading causes of irreversible retinal damage leading to blindness. Early detection of these diseases through regular screening is especially important to prevent progression. Retinal fundus imaging serves as the principal method for diagnosing glaucoma and DR. Consequently, automated detection of eye diseases represents a significant application of retinal image analysis. Compared with classical diagnostic techniques, image classification by convolutional neural networks (CNN) exhibits potential for effective eye disease detection. Methods: This paper proposes the use of MATLAB - retrained AlexNet CNN for computerized eye diseases identification, particularly glaucoma and diabetic retinopathy, by employing retinal fundus images. The acquisition of the database was carried out through free access databases and access upon request. A transfer learning technique was employed to retrain the AlexNet CNN for non-disease (Non_D), glaucoma (Sus_G) and diabetic retinopathy (Sus_R) classification. Moreover, model benchmarking was…

Advanced hepatocellular carcinoma (HCC) is traditionally associated with limited treatment options and a poor prognosis. Sorafenib, a multiple tyrosine kinase inhibitor, was introduced in 2007 as a first-in-class systemic agent for advanced HCC. After sorafenib, a range of targeted therapies and immunotherapies have demonstrated survival benefits in the past 5 years, revolutionizing the treatment landscape of advanced HCC. More recently, evidence of novel combinations of systemic agents with distinct mechanisms has emerged. In particular, combination trials on atezolizumab plus bevacizumab and durvalumab plus tremelimumab have shown encouraging efficacy. Hence, international societies have revamped their guidelines to incorporate new recommendations for these novel systemic agents. Aside from treatment in advanced HCC, the indications for systemic therapy are expanding. For example, the combination of systemic therapeutics with locoregional therapy (trans-arterial chemoembolization or stereotactic body radiation therapy) has demonstrated promising early results in downstaging HCC.…

The use of technological tools, in the food industry, has allowed a quick and reliable identification and measurement of the sensory characteristics of food matrices is of great importance, since they emulate the functioning of the five senses (smell, taste, sight, touch, and hearing). Therefore, industry and academia have been conducting research focused on developing and using these instruments which is evidenced in various studies that have been reported in the scientific literature. In this review, several of these technological tools are documented, such as the e-nose, e-tongue, colorimeter, artificial vision systems, and instruments that allow texture measurement (texture analyzer, electromyography, others). These allow us to carry out processes of analysis, review, and evaluation of food to determine essential characteristics such as quality, composition, maturity, authenticity, and origin. The determination of these characteristics allows the standardization of food matrices, achieving the improvement of existing foods and encouraging the development of new products that…

Background: Research and researchers are heavily evaluated, and over the past decade it has become widely acknowledged that the consequences of evaluating the research enterprise and particularly individual researchers are considerable. This has resulted in the publishing of several guidelines and principles to support moving towards more responsible research assessment (RRA). To ensure that research evaluation is meaningful, responsible, and effective the International Network of Research Management Societies (INORMS) Research Evaluation Group created the SCOPE framework enabling evaluators to deliver on existing principles of RRA. SCOPE bridges the gap between principles and their implementation by providing a structured five-stage framework by which evaluations can be designed and implemented, as well as evaluated. Methods: SCOPE is a step-by-step process designed to help plan, design, and conduct research evaluations as well as check effectiveness of existing evaluations. In this article, four case studies are presented to show how SCOPE has been used in practice to provide…

Background: This randomized controlled trial aimed to compare the efficacy of silver diamine fluoride (SDF) and casein phosphopeptide-amorphous calcium phosphate fluoride varnish (CPP-ACPFV) in preventing caries development, enamel breakdown, and sensitivity on molars affected by molar incisor hypomineralization (MIH) in children. Methods: A total of 100 children aged 6 to 9 years were enrolled in the study with two contralateral permanent molars mildly affected by MIH. Affected molars were randomly and equally assigned to receive either SDF or CPP-ACPFV treatment. The interventions were applied at four different time points (baseline, 3, 6, 9 months), and the incidence of caries, caries progression, enamel breakdown, and sensitivity were assessed. Results: -value < 0.05). However, no significant differences were observed in enamel breakdown scores between the treatment groups, as the majority of teeth in both groups exhibited a score of 0. Furthermore, there were no significant differences in sensitivity between the treatment groups throughout the study period. Conclusions: In…

Fibroblasts are mesenchymal cells that are responsible for creating and maintaining tissue architecture through the production of extracellular matrix. These cells also play critical roles in processes such as wound repair and immune modulation in normal tissues and various disease states including fibrosis, autoimmunity, and cancer. Fibroblasts have a complex repertoire of functions that vary by organ, inflammatory state, and the developmental stage of an organism. How fibroblasts manage so many functions in such a context-dependent manner represents a gap in our understanding of these cells. One possibility is that a tissue-resident precursor cell state exists that provides the fibroblast lineage with flexibility during growth, inflammation, or other contexts that require dynamic tissue changes. Recent work has suggested that a precursor fibroblast cell state is marked by expression of Peptidase inhibitor 16 ( Pi16 ). This review aims to concatenate and compare studies on fibroblasts that express Pi16 to clarify the roles of this cell state in fibroblast lineage development and…

The plastic related research has been an epicentre in recent times. The presence and spread of micro (nano) plastics (MNPs) are well-known in the terrestrial and aquatic environment. However, the focus on the fate and remediation of MNP in soil and groundwater is limited. The fate and bioaccumulation of ingested MNPs remain unknown within the digestive tract of animals. There is also a significant knowledge gap in understanding the ubiquitous organic environmental pollutants with MNPs in biological systems. Reducing plastic consumption, improving waste management practices, and developing environmentally friendly alternatives are some of the key steps needed to address MNP pollution. For better handling and to protect the environment from these invisible substances, policymakers and researchers urgently need to monitor and map MNP contamination in soil and groundwater.

Consumer satisfaction is an outcome of business marketing activities, bridging the buying and usage phases with subsequent consequences such as attitude changes, recurring purchases, and brand loyalty. Most studies have utilized variations of the disconfirmation paradigm, which posits that satisfaction is influenced by the degree and type of disconfirmation experienced and initial expectations. Despite the importance of satisfaction, there remains a paucity of evidence on the cause and effect leading to expectation-confirmation and disconfirmation paradigm. This paper explores the reasons and the key factors in the perspectives of the relevant literature and aims to identify the intention of confirmation and disconfirmation in satisfaction theories. This conceptual paper also suggests various critical analyses based on the arguments for and against the paradigm in customer satisfaction. Consequently, the paper seeks to examine existing gaps in the literature regarding customer satisfaction theories for business sustainability and decision making, which may need to be more concise in…

Background The process of preparing a scientific manuscript is intricate, encompassing several critical stages, including pre-writing, research development, drafting, peer review, editing, publication, dissemination, and access. Among these, the peer review process (PRP) stands out as a pivotal component requiring seamless collaboration among editors, reviewers, and authors. Reviewers play a crucial role in assessing the manuscript’s quality and providing constructive feedback, which authors must adeptly navigate to enhance their work and meet journal standards. This process can often appear daunting and time-consuming, as authors are required to address numerous comments and requested changes. Authors are encouraged to perceive reviewers as consultants rather than adversaries, viewing their critiques as opportunities for improvement rather than personal attacks. Methods Opinion article. Aim To equip authors with practical strategies for engaging effectively in the PRP and improving their publication acceptance rates. Results Key guidelines include thoroughly understanding and…

Future viability depends on ensuring a sustainable society because green energy methods may efficiently reduce greenhouse gas emissions. Nevertheless, stakeholders, consumers, and developers continue to be notably ignorant of the financial incentives connected to green technology. Moreover, there is still a dearth of studies on the range of financial incentives offered by different authorities in India. Monetary incentives, such as tax breaks, indirect tax exemptions, and refunds, are crucial in encouraging the use of green technology in the modern world. This study explores the importance of financial incentives for green building technologies in India, which also looks at the wide range of incentives provided by federal, state, and local governments. Furthermore, the study highlights various state government programs such as goods subsidies, exemptions from local taxes, and fee waivers. Notably, several incentives aimed at consumers, developers, and other stakeholders have been implemented by the Indian Green Building Council (IGBC). This review study emphasizes the effectiveness…

Introduction: Osseointegration stands as a pivotal concept within the realm of dental implants, signifying the intricate process through which a dental implant integrates with the adjoining bone tissue. Graphene oxide (GO) has been shown to promote osseointegration, the process by which the implant fuses with the surrounding bone. The objective of this study was to assess the osseointegrative and antimicrobial properties of GO nano coated dental implants. Methods: A systematic search was conducted using electronic databases (e.g., PubMed, Scopus, Web of Science) to identify relevant studies published. Inclusion criteria encompassed studies that evaluated the effects of GO nano coating on osseointegrative and antimicrobial characteristics of dental implants. Studies not written in English and published before 2012 were excluded. Results: The initial search yielded a total of 127 potential studies, of which six met the inclusion criteria and five were included in the review. These studies provided data on GO nano coated dental implants and their osseointegrative and antimicrobial…

Background: Researchers are focusing their emphasis on quick and real-time healthcare and monitoring systems because of the contemporary modern world's rapid technological improvements. One of the best options is smart healthcare, which uses a variety of on-body and off-body sensors and gadgets to monitor patients' health and exchange data with hospitals and healthcare professionals in real time. Utilizing the primary user (PU) spectrum, cognitive radio (CR) can be highly useful for efficient and intelligent healthcare systems to send and receive patient health data. Methods: In this work, we propose a method that combines energy detection (ED) and cyclostationary (CS) spectrum sensing (SS) algorithms. This method was used to test spectrum sensing in CR-based smart healthcare systems. The proposed ED-CS in cognitive radio systems improves the precision of the spectrum sensing. Owing to its straightforward implementation, ED is initially used to identify the idle spectrum. If the ED cannot find the idle spectrum, the signals are found using CS-SS, which uses the cyclic statistical…

Introduction Volatilomics is an omics science that is characterized as being a specific subbranch of metabolomics, which studies the different types of volatile organic compounds that may be present in a certain biological matrix. It has had impacts on the identification of new natural compounds and food safety processes, since it allows the evaluation of emerging contaminants that are present on food matrices, through the identification of biomarkers generated in response to this type of xenobiotic compounds through xenovolatilomic studies. Objective In this way, this review seeks to understand the scientific advances reported towards volatilomic studies, for which different types of primary research are reported depending on the main instrumental techniques used for the characterization of different types of VOCs that have been reported in our country between 2012 and 2022. Methodology Using a qualitative methodology, a search was carried out in the Scopus database, from which the bibliometric information of the primary research reported during this time was obtained, to later…

The 2020 world population data sheet indicates that world population is projected to increase from 7.8 billion in 2020 to 9.9 billion by 2050 (Increase of more than 25%). Due to the expected growth in human population, the demand for meats that could improve health status and provide therapeutic benefits is also projected to rise. The dromedary also known as the Arabian camel, or one-humped camel (Camelus dromedarius), a pseudo ruminant adapted to arid climates, has physiological, biological and metabolic characteristics which give it a legendary reputation for surviving in the extreme conditions of desert environments considered restrictive for other ruminants. Camel meat is an ethnic food consumed across the arid regions of Middle East, North-East Africa, Australia and China. For these medicinal and nutritional benefits, camel meat can be a great option for sustainable meat worldwide supply. A considerable amount of literature has been published on technological aspects and quality properties of beef, lamb and pork but the information available on the technological aspects of the…

Background: Cardiovascular disease (CVD) continues to be the foremost mortality internationally. Cardiac rehabilitation has proven as an effective program in reducing CVD burden. Participation in cardiac rehabilitation programs is very low. Digital health intervention emerged as an alternative method to deliver Cardiac rehabilitation. This review aimed to investigate the impact of digital health intervention on the outcomes of interest. Methods: the following databases: PubMed, CINAHL, Scopus, and Cochrane Library have been searched to retrieve randomized controlled trials that examine the impact of digital health intervention on blood pressure, body mass index, lipid profile, blood glucose, Six-Minute Walk Test, and peak oxygen consumption. filters were set to include studies published in English between 2000-2023. Results: Nineteen studies were included in this review. Six-Minute Walk Test (MD = 16.70; 95% CI: 6.00 to 27.39, p = 0.000) and maximal oxygen consumption (SMD = 0.27; 95% CI: 0.08 to 0.45, p = 0.004) significantly improved following digital health intervention, after…

Background: In recent years, there has been a notable increase in the level of attention devoted to exploring capabilities of nanoparticles, specifically gold nanoparticles AuNPs, within context of modern times. AuNPs possess distinct biophysical properties, as a novel avenue as an antibacterial agent targeting Streptococcus Mutans and Candida Albicans. The aim of this study to create a nano-platform that has the potential to be environmentally sustainable, in addition to exhibiting exceptional antimicrobial properties against Streptococcus Mutans as well as Candida Albicans. Methods: leaves extract as a cost effective and environmentally sustainable approach for the green synthesis of AuNPs. Subsequently, physicochemical characteristics were assessed employing a variety of analytical methods, including as transmission electron microscopy, X-ray diffraction, Field Emission Scanning Electron Microscope, Zeta potential, Ultraviolet visible absorption spectroscopy, and Energy dispersive X-ray spectroscopy and Fourier transform infrared spectroscopy. The antimicrobial efficacy against…

Background: The potential of Islamic crowdfunding to encourage the development of Islamic fintech globally, even in countries with non-Muslim majority populations, needs to be examined in a literature study on this issue. More extensive research is needed regarding the factors that most reliably predict the success of Islamic crowdfunding, such as compliance with Islamic crowdfunding laws, sustainability, and the potential of Islamic finance. This article describes a comprehensive and systematic Literature Review (SLR) regarding papers published in the field of Islamic crowdfunding. This research aims to contribute to a better understanding of Islamic crowdfunding, provide useful information for practitioners, and stimulate further research in the field to increase the success of Islamic crowdfunding. Methods: We conducted a review of selected papers to identify gaps and significant issues in Islamic crowdfunding, providing guidance for future researchers. This article review was based on 704 articles retrieved using the keyword "Islamic crowdfunding" from the Scopus database…

Corneal blindness is an important contributor to the burden of global blindness and has a greater prevalence in low-income countries of the developing world where resources and infrastructure are limited. The causes of corneal blindness too are different from high-income countries and include infectious keratitis, ocular trauma, and xerophthalmia. Persons with these indications tend to have unfavourable outcomes after corneal transplantation, limiting their chances of benefitting from this sight-saving procedure. However, most causes of corneal blindness in the developing world are preventable. This highlights the importance of understanding the unique challenges in these regions and the need for targeted interventions. This article discusses various prevention strategies, including primordial, primary, and secondary prevention, aimed at reducing the burden of corneal blindness in low-income countries. These include capacity building, training, and awareness campaigns to reduce the risk factors of ocular trauma, infectious keratitis, and to improve access to first aid. It is also…

Background Curcumin, known for its anti-inflammatory properties, was selected for the developing consumer friendly film forming spray that offers precise delivery of curcumin and and improves patient adherence. Methods An optimized film-forming solution was prepared by dissolving curcumin (1%), Eudragit RLPO (5%), propylene glycol (1%), and camphor (0.5%) in ethanol: acetone (20:80) as the solvent. The solution was filled in a spray container which contained 70% solutions and 30% petroleum gas. In-vitro characterization was performed. Results Potential anti-inflammatory phytoconstituents were extracted from the PubChem database and prepared as ligands, along with receptor molecules (nsp10-nsp16), for molecular docking using Autodock Vina. The docking study showed the lowest binding energy of -8.2 kcal/mol indicates better binding affinities. The optimized formulation consisted of ethanol:acetone (20:80) as the solvent, Eudragit RLPO (5%) as the polymer, propylene glycol (1%) as the plasticizer, and camphor oil (0.5%) as the penetration enhancer. The optimized formulation exhibited…

Background: Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal disorder globally and the primary cause of disability. Magnetic resonance imaging (MRI) studies are inconclusive and less sensitive for identifying and classifying patients with LBP. Hence, this study aimed to investigate the role of artificial intelligence (AI) models in the prediction of LBP using T2 weighted MRI image of the lumbar spine. Methods: This was a prospective case-control study. A total of 200 MRI patients (100 cases and controls each) referred for lumbar spine and whole spine screening were included. The scans were performed using 3.0 Tesla MRI (United Imaging Healthcare). T2 weighted images of the lumbar spine were segmented to extract radiomic features. Machine learning (ML) models, such as random forest, decision tree, logistic regression, K-nearest neighbors, adaboost, and deep learning methods (DL), such as ResNet and GoogleNet, were used, and performance measures were calculated. Results: Our study showed that Random forest and AdaBoost are the most reliable ML…

Background: The intensive care unit (ICU) is a busy and complex workplace, and several work-related and personal factors are known to make ICU nurses more vulnerable to moral distress than other healthcare professionals. It is crucial to identify these factors to guide future studies and preventive strategies. This scoping review explores such factors to present current knowledge on the factors that trigger moral distress and to guide future research by reviewing studies to explore and summarize factors that trigger moral distress in ICU nurses. Methods: The PubMed, EBSCO, and CINAHL Plus databases were searched to identify potentially relevant studies published between 2011 to 2022. Inclusion criteria: peer-reviewed studies published in English that provided results regarding factors causes or correlated to moral distress in ICU nurses. After removing 618 duplicates, 316 papers were excluded after title and abstract screening, leaving 71 articles for full-text screening. A further 54 articles were excluded as their outcomes did not include factors that caused moral distress, or…

Background: Amidst the COVID-19 pandemic, the learning pattern of medical students shifted from onsite to online. This transition may contribute to what has been called "Zoom fatigue." This study aimed to evaluate the prevalence of Zoom fatigue related to online learning, identify associated factors of Zoom fatigue, and explore its correlation with depression among medical students during the COVID-19 pandemic. Methods: This cross-sectional study was conducted among 1st to 6th-year Thai medical students. The online survey was administered using a demographic and health behavior questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the Thai version of the Zoom Exhaustion & Fatigue Scale (ZEF-T). Results: Among the 386 participating students, 221 (57%) were female, with a mean age of 20.6 years. The prevalence of high Zoom fatigue was 9.6%. In the multivariable regression analysis, a lower academic year and a higher number of online learning sessions were significant predictors of Zoom fatigue (p < 0.001), while regular exercise emerged as a protective factor (p = 0.009). The…

Background Technology reduces the nursing workload, improve the quality care processes, patient’s safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. The aim was to analyze the influence of technologies on the distribution of workload for nursing care management. Methods An integrative literature review was performed. Four databases were searched: Scopus, Scielo, PUBMED, and CINALH following PRISMA guidelines. Articles published from January 2016 to December 2020, published in English, Spanish and Portuguese were included. Studies were excluded when they were not original research, did not met the quality criteria or they did not answer the research questions. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion…

Purpose: To explore how principles of social justice and equity are integrated into research concerning accessibility to public buildings for individuals with mobility disabilities. Methods: Utilising a scoping review methodology to assess literature based on the criteria set by the Joanna Briggs Institute, seven databases were screened. Studies were selected using the framework: "persons with mobility disabilities" AND "accessibility" AND "public buildings". A theoretical framework helped to extract codes and develop themes through an inductive-deductive analysis method. The results are presented descriptively. Results: The examination of 84 studies uncovered a complex interplay between agencies, systemic challenges, discriminatory practices, and societal attitudes perpetuating marginalisation of individuals with mobility disabilities in their access to public buildings. The recommendations emphasize importance of practical measures, research imperatives, and policy developments to promote inclusivity. We present a 'Ten-step approach' to integrate social justice and equity into…

Background: Fiscal decentralization offers potential for stimulating local economic development in Africa, empowering subnational governments to control revenue and spending. However, challenges such as urbanization, poverty, inequality, insufficient infrastructure, and governance issues hinder the successful implementation of the core tenets of fiscal decentralization. This paper explores the role of digital technologies in promoting greater fiscal decentralization and revenue enhancement, as a strategic response to these local economic development challenges in Africa. Method: Through a systematic literature review, this study explores the role of fiscal decentralization in driving local economic development, with a focus on leveraging digital technologies to boost revenue generation and strengthen governance and institutional capacity at the subnational level. Results: The research underscores the importance of investing in digital infrastructure, skill development, and regulatory frameworks, while addressing data privacy and security concerns. Conclusion: By emphasizing the…

Endometriosis is a benign, estrogen-dependent, persistent chronic inflammatory heterogeneous condition that features fibrotic adhesions caused by periodic bleeding. The characteristic ectopic lesions are marked by a widely spread dense fibrotic interstitium comprising of fibroblasts, myofibroblasts, collagen fibers, extracellular proteins, inflammatory cells, and active angiogenesis. Fibrosis is now recognized as a critical component of endometriosis because of which current treatments, such as hormonal therapy and surgical excision of lesions are largely ineffective with severe side effects, high recurrence rates, and significant morbidity. The symptoms include dysmenorrhea (cyclic or noncyclic), dyspareunia, abdominal discomfort, and infertility. The significant lack of knowledge regarding the underlying root causes, etiology, and complex pathogenesis of this debilitating condition, hinders early diagnosis and implement effective therapeutic approaches with minimal side effects presenting substantial hurdles in endometriosis management. Emerging research offer a close relationship…

Background: Teaching professionalization aimed at the digital transformation of educational scenarios and training processes for students in contemporary higher education requires the mastery of digital competence by the teaching staff. The objectives of the study were to analyze the self-perceived level of digital teaching competence (DTC) of the faculty of the Technical University of Manabí (UTM), Ecuador, and to establish the relationship between age, sex, and academic profile variables with digital teaching competence. Methods: A quantitative methodological approach was adopted to develop a descriptive-correlational field study with a non-experimental design. The participants were 277 professors, selected through non-probabilistic and voluntary sampling, who completed the DigCompEdu Check-In questionnaire sent by e-mail. Results: The data revealed that the "integrator" and "expert" categories achieved high levels in all competencies. In particular, 48.74% of the participants were placed in the integrator category in the competence of facilitating skills, while 46.21% positioned…

Background: The primary objective worldwide during the coronavirus disease 2019 (COVID-19) pandemic had been controlling disease transmission. However, lockdown measures used to mitigate transmission affected human behavior and altered lifestyles, with a likely impact on chronic non-communicable diseases. More than a year into the pandemic, substantial peer-reviewed literature emerged on altered lifestyles following the varying lockdown measures imposed globally to control the virus spread. We explored the impact of lockdown measures on six lifestyle factors, namely diet, physical activity, sleep, stress, social connectedness, and the use of tobacco, alcohol, or other harmful substances. Methods: We comprehensively searched PubMed and the World Health Organization's global literature database on COVID-19 and retrieved 649 relevant articles for the narrative review. A critical interpretative synthesis of the articles was performed. Results: Most of the articles included in the review identified the negative effect of lockdown measures on each of the lifestyle factors in many parts of…

The Raman effect originates from spontaneous inelastic scattering of photons by matter. These photons provide a characteristic fingerprint of this matter, and are extensively utilized for chemical and biological sensing. The probability of generation, and hence the detection of these Raman scattered photons, is very low; hence, it is difficult to use this directly for sensing in complex matrices. To amplify this signal, surface-enhanced Raman spectroscopy (SERS) has been extensively investigated and has emerged as a powerful analytical tool for sensing diverse analytes, including ions, small molecules, inorganics, organics, radionucleotides, and cells. Plasmonic nanoparticles, called hotspots, exhibit localized surface plasmon resonance (LSPR). This amplifies the Raman signal and may offer up to a 10 10 -fold SERS signal enhancement. The development of SERS active substrates requires further consideration and optimization of several critical features such as surface periodicity, hotspot density, mitigation of sample or surface autofluorescence, tuning of surface hydrophilicities,…

Background: Physical restraints (PRs) are frequently used in adult critical care units to protect staff and prevent self-harm, despite the fact that they represent significant safety risks. Restraint complications may have an impact on the patient's long- and short-term outcomes. This integrative review aimed to meticulously evaluate existing evidence pertaining to physical restraint practices in adult critical care settings. The review was specifically geared towards examining the prevalence of PR, identifying influential factors, elucidating the role of nurses in PR implementation, exploring nurses' experiences in caring for patients under restraint, and scrutinizing the complications associated with PR application. Method: This integrative review included the studies published between January 2009 and December 2019 and the literature search was conducted in July 2020. The databases searched included EBSCOhost, Ovid, ProQuest, PubMed, Wiley Online Library, SCOPUS, and ScienceDirect. The keywords included in the search were restraint, critical care, intensive care, ICU, mechanical…

Passive acoustic monitoring of soundscapes and biodiversity produces vast amounts of audio recordings, but the management and analyses of these raw data present technical challenges. A multitude of software solutions exist, but none can fulfil all purposes required for the management, processing, navigation, and analysis of acoustic data. The field of ecoacoustics needs a software tool that is free, evolving, and accessible. We take a step in that direction and present ecoSound-web: an open-source, online platform for ecoacoustics designed and built by ecologists and software engineers. ecoSound-web can be used for storing, re-sampling, organising, analysing, and sharing soundscape recording or metadata projects. Specifically, it allows manual annotation of soniferous animals and soundscape components, automatic annotation with deep-learning models for all birds and for UK bat species, peer-reviewing annotations, analysing audio in time and frequency dimensions, computing alpha acoustic indices, and providing reference sound libraries for different taxa. We present ecoSound-web’s…

Background Nile tilapia ( Oreochromis niloticus ) is predominant cultured species in aquaculture. However, there is a scarcity of literature regarding relationship between guava and star gooseberry leaf extract and the condition factor. Thus, the present study aims to investigate the effect of guava and star gooseberry leaf extract-supplemented diets on the specific growth rate, length-weight relationship, and condition factor of Nile tilapia. Methods Six hundred and thirty Nile tilapia (8.7±0.4 g) were randomly distributed among twenty-one tanks (30 fish per tank) within a recirculation system. Over a 60-day period, the fish were fed diets supplemented with 5g/Kg and 10g/Kg of guava leaf extract (GLE-5, GLE-10), star gooseberry leaf extract (SGLE-5, SGLE-10), and a mixture of both (MxLE-5, MXLE-10). Subsequently, specific growth rate, length-weight relationship, and condition factor were determined. Results After 60 days, the specific growth rate was significantly higher in all the GLE, SGLE, and MxLE groups compared to the control group. The final lengths and weights differed…

Background The mass vaccination campaign against COVID-19 has been commonly considered the best response to the global COVID-19 pandemic crisis. However, to assess its real-world overall effects, the best way can be the analysis of all-cause mortality by vaccination status. The UK is perhaps the only country which has made publicly available all-cause mortality data by vaccination status. Methods Data from April 2021 to May 2023 published by the UK Office for National Statistics (ONS) were retrospectively analyzed by age groups and vaccination status; the standardized mortality ratio (SMR) for all-cause and non-COVID-19 mortality was calculated against the corresponding unvaccinated groups. Results We found that across all age groups, all-cause mortality SMRs increased from a certain date, dependent on the age group. Across all age groups, all-cause mortality SMRs were initially much lower than 1. However, due to their increase, by a certain date for the 18-39, 80-89 and 90+ age groups they exceeded the reference value. For the other age groups, the date at which the SMR would reach…

Introduction The aim of the research was to demonstrate the efficiency of microorganisms and the effectiveness of biodegradation techniques on Low-density polyethylene (LDPE) plastics. The research question was: What is the efficiency of LDPE -degrading microorganisms and the effectiveness of biodegradation techniques? Methods The systematic review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Articles were obtained from Scopus, Web of Science (WOS), Embase, and Google Scholar. The DeCS/Mesh search terms were: Low-density polyethylene, efficiency, biodegradation, microbial consortia, fungi, bacteria. Inclusion criteria were: scientific articles that included bacteria, fungi, and microbial consortia reported as LDPE degraders that report the percentage of weight loss; articles published from January 2010 to October 2022, and publications in Spanish and English with open access. Exclusion criteria were: studies that do not report gravimetry, the biodegradation time of LDPE , and the genus or species of the…

Background: Caring for a child with long-term functional limitations can have a negative impact on the physical and psychological well-being of the caregiver. Family-centered care (FCC) interventions have the potential to empower caregivers and contribute to their well-being. This systematic review aimed to synthesize existing evidence on the effectiveness of FCC interventions in improving the well-being of caregivers of children with cerebral palsy (CP), and identify the key components of such interventions that are most commonly practiced and deemed effective. Methods: This review systematically searched seven databases for randomized controlled trials that evaluated the effectiveness of any FCC intervention on the well-being of caregivers of children with or at risk of CP. We used the Cochrane RoB 2.0 tool to assess risk of bias and Critical Appraisal Skills Programme (CASP) checklist for critical appraisal. Due to high heterogeneity of studies, narrative synthesis was used to summarize the data. Results: The review consists of 11 studies which were categorized into five sections…

This proposed research investigates the sustainable and innovative use of biomass gasification for generating electricity. Biomass gasification is a versatile and eco-friendly technology that converts organic materials, such as agricultural residues, forestry waste, and even municipal solid waste, into a valuable source of clean energy. This research delves into the various aspects of this technology, including its processes, efficiency, environmental impact, and potential applications in power generation. Biomass gasification gas, often referred to as syngas, presents a promising avenue for addressing the rising energy demand while lowering greenhouse gas emissions and preventing climate change. This research seeks to offer a thorough insight into the principles and practices behind biomass gasification, highlighting its role in the transition towards a sustainable and renewable energy future. The research will investigate the technical and economic feasibility of utilizing biomass gasification gas for electricity generation, examining the benefits, challenges, and opportunities…

The younger generations have always been at the forefront of and contributed significantly to social movements that are critical of state policies or respond to socio-political situations. This is also what happened in large movements involving young people in Indonesia, conventionally in the form of demonstrations and digital movements. This study seeks to explore the relationship between youth political participation, digital media, and the development of youth political identity by analyzing young people’s engagement in some of the most significant political protests in Indonesia during the mass protests of #ReformasiDikorupsi, a movement opposing the amendments of several important bills, and #TolakOmnibusLaw, a movement opposing the establishment of a new single bill related to labor and investment, between 2019 and 2020. By analyzing quantitative data through data mining from Twitter from October 2019 to November 2020 with the social network analysis method, this study discusses online youth participation in social movements and the way they shape their political identity. Our…

Background Following a flurry of policies for Open Science (OS), there is now a wave of initiatives to monitor its adoption. However, the great diversity of understandings and activities related to Open Science makes monitoring very challenging. There is a danger that by focusing on what can be readily observed (e.g. publications) many other OS activities are overlooked (e.g. participation), with a potential narrowing of OS scope, streetlight effects, and deviation from the values of OS. Since Open Science can be understood as a systemic transformation of the research system, we have borrowed concepts from Transformative Innovation Policies frameworks which aim at evaluating socio-technical transitions. In accordance with this view of OS as a systemic transformation, we propose that the new monitoring efforts should shift towards: (i) systemic perspectives which considers the various actions related to OS, including policies and outputs (e.g. datasets) but also processes (e.g. participatory events), outcomes (e.g. citizen interest in science) and expected impacts (e.g. better…

Background: Metabolomics is the simultaneous determination of all metabolites in a system. Despite significant advances in the field, compound identification remains a challenge. Prior knowledge of the compound classes of interest can improve metabolite identification. Hormones are a small signaling molecules, which function in coordination to direct all aspects of development, function and reproduction in living systems and which also pose challenges as environmental contaminants. Hormones are inherently present at low levels in tissues, stored in many forms and mobilized rapidly in response to a stimulus making them difficult to measure, identify and quantify. Methods: An in-depth literature review was performed for known hormones, their precursors, metabolites and conjugates in plants to generate the database and an RShiny App developed to enable web-based searches against the database. An accompanying liquid chromatography - mass spectrometry (LC-MS) protocol was developed with retention time prediction in Retip. A meta-analysis of 14 plant metabolomics studies was used for…

Background Bovine congestive heart failure (BCHF) has become increasingly prevalent among feedlot cattle in the Western Great Plains of North America with up to 7% mortality in affected herds. BCHF is an untreatable complex condition involving pulmonary hypertension that culminates in right ventricular failure and death. Genes associated with BCHF in feedlot cattle have not been previously identified. Our aim was to search for genomic regions associated with this disease. Methods A retrospective, matched case-control design with 102 clinical BCHF cases and their unaffected pen mates was used in a genome-wide association study. Paired nominal data from approximately 560,000 filtered single nucleotide polymorphisms (SNPs) were analyzed with McNemar’s test. Results Two independent genomic regions were identified as having the most significant association with BCHF: the arrestin domain-containing protein 3 gene ( ARRDC3 ), and the nuclear factor IA gene ( NFIA , mid- p -values, 1x10−8 and 2x10 −7, respectively). Animals with two copies of risk alleles at either gene were approximately…

Background ChatGPT is a conversational large language model (LLM) based on artificial intelligence (AI). LLMs may be applied in health care education, research, and practice if relevant valid concerns are proactively addressed. The current study aimed to investigate ChatGPT’s ability to generate accurate and comprehensive responses to nutritional queries created by nutritionists/dieticians. Methods An in-depth case study approach was used to accomplish the research objectives. Functional testing was performed, creating test cases based on the functional requirement of the software application. ChatGPT responses were evaluated and analyzed using various scenarios requiring medical nutritional therapy, which were created with varied complexity. Based on the accuracy of the generated data, which were evaluated by a registered nutritionist, a potential harm score for the responses from Chat GPT was used as evaluation. Results Eight case scenarios with varied complexity when evaluated revealed that, as the complexity of the scenario increased, it led to an increase in the risk potential.…

Rationale The efficacy of vaccination programs, particularly for diseases like HPV, hinges on widespread acceptance and uptake within communities. However, vaccine hesitancy and inadequate healthcare infrastructure pose significant barriers to achieving optimal vaccination coverage in Nigeria. Recognizing the pivotal role of community engagement in overcoming these challenges, this study aims to explore the potential of leveraging the ward health system (WHS) to enhance HPV vaccination acceptance in Nigeria. Objective The primary objective of this study is to assess the impact of community-based approaches facilitated by the WHS on HPV vaccination demand and acceptance in Nigeria. Specifically, the study seeks to evaluate the effectiveness of ward development committees (WDCs) in mobilizing communities, addressing vaccine hesitancy, and fostering positive attitudes towards HPV vaccination. Method A comprehensive search strategy using various scholarly search engines and sources was employed to gather relevant material. Keywords such as “Boosting Community Engagement” and “Leveraging…

Climate change is rapidly transforming ecosystems and reshaping the landscapes of animal health, with profound consequences for public health, food security, and biodiversity. Rising temperatures, shifting weather patterns, and increased frequency of natural disasters are driving the emergence and spread of infectious diseases, particularly zoonotic and vector-borne diseases. These environmental shifts endanger the health and welfare of animals and the delicate balance between human populations, livestock, and wildlife. As the stewards of animal health, veterinarians are uniquely positioned to lead the change in addressing these complex challenges at the nexus of human, animal, and environmental health and well-being. This article calls for urgent actions to integrate climate adaptation and mitigation strategies into veterinary practice and education. It underscores the critical need for veterinarians to embrace the One Health approach to tackle climate-driven disease outbreaks and the growing threat of antimicrobial resistance to safeguard human and animal populations while…

In current educational research, deep learning is widely considered a key approach to fostering the development of students’ comprehensive abilities. However, effectively promoting deep learning, especially across various educational settings, remains a challenge. Especially in the context of Self-Directed Learning (SDL) environments, current research does not specifically detail how SDL facilitates the deep learning process or how students experience and achieve deep learning within SDL environments. Addressing this research gap, this study explores the promotional effect of SDL on deep learning through a systematic literature review and analyzes how self-directed learning strategies and environments support the deep learning process of students. This article, based on Self-Determination Theory (SDT) and meta-cognitive theory, delves into the intrinsic factors and external conditions under SDL environments that promote deep learning. The research found that self-directed learning significantly promotes deep learning by fostering students’ active participation, self-management, and…

Background: The study investigates the influence of antecedents of the theory of planned behaviour (TPB) and personality traits on entrepreneurial intention and behaviour among engineering students in an emerging economy. It employs the extension of the TPB model by focusing on the intention-behaviour gap, an under-researched area in research. Furthermore, it investigates the moderating effect of entrepreneurial motivation on the relationship between intention and behaviour to improve conceptual model predictability. Methods: A structured questionnaire was used to gather data from 1,564 engineering students, and the data were analyzed using structural equation modelling (SEM) with Amos software. Results: The results revealed that subjective norms were the strongest predictor of entrepreneurial intention and behaviour, followed by entrepreneurial alertness, perceived behavioural control, attitude towards entrepreneurship, need for achievement, and risk tolerance. Moreover, the moderation analysis showed that entrepreneurial motivation was crucial in moderating the relationship…

In healthcare, improvement leaders have been inspired by the frameworks from industry which have been adapted into control systems and certifications to improve quality of care for people. To address the challenge to regain trust in healthcare design and delivery, we propose a conceptual framework, i.e. the "House of Trust". This House brings together the Juran Trilogy, the emerging concept of co-production in quality management and the multidimensional definition of quality, which describes core values as an integral part of the system to deliver person- and kin-centered care. In the "House of Trust" patients, their kin, healthcare providers, executives and managers feel at home, with a sense of belonging. If we want to build a care organization that inspires and radiates confidence to all stakeholders, highlighting the basic interactions between front- and back-office is required. An organization with both well-organized back- and front-offices can enable all to benefit from the trust each of them needs and deserves. A quality system does not depend on government inspection and…

In 2020 we published Liftoff, which was the first standalone tool specifically designed for transferring gene annotations between genome assemblies of the same or closely related species. While the gene content is expected to be very similar in closely related genomes, the differences may be biologically consequential, and a computational method to extract all gene-related differences should prove useful in the analysis of such genomes. Here we present LiftoffTools, a toolkit to automate the detection and analysis of gene sequence variants, synteny, and gene copy number changes. We provide a description of the toolkit and an example of its use comparing genes mapped between two human genome assemblies.

The ongoing spread of antimicrobial resistance has complicated the treatment of bacterial hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP). Gram-negative pathogens, especially those with multidrug-resistant profiles, including Escherichia coli , Klebsiella pneumoniae , Enterobacter spp., Pseudomonas aeruginosa , and Acinetobacter spp., are important culprits in this type of infections. Understanding the determinants of resistance in pathogens causing pneumonia is ultimately stressing, especially in the shadows of the COVID-19 pandemic, when bacterial lung infections are considered a top priority that has become urgent to revise. Globally, the increasing prevalence of these pathogens in respiratory samples represents a significant infection challenge, with major limitations of treatment options and poor clinical outcomes. This review will focus on the epidemiology of HAP and VAP and will present the roles and the antimicrobial resistance patterns of implicated multidrug-resistant (MDR) Gram-negative pathogens like carbapenem-resistant Acinetobacter…

Background: Sleep can be defined as a state of reduced attention from where the person can be woken up by any kind of stimuli. Sleep difficulties are a major group of disorders affecting one third of the adult population. The present study was taken up to assess the sleep quality and prevalence of sleep disorders among the adult population in the urban slum area of H Siddaiah Road Urban Primary Health Center (UPHC), which is in the Urban Field Practice Area, BMCRI. Methods: Stratified random sampling was used to select 821 adults in the population of 18-60 years of age. Ethical clearance was obtained from the Institutional Ethical Committee. A pretested semi-structured questionnaire was used to interview the adults after obtaining their consent. The data was entered in Microsoft Office Excel and analysed using SPSS ver20.0. Results: The study population was 52.81% females and 77.5% in the age group of 18-30 years. Most of the study population were Hindus (78.90%), and only 3.8% of the study population were illiterate. Most of them were employed (86.12%).Substance use was present in…

Science journalists are uniquely positioned to increase the societal impact of open research outputs by contextualizing and communicating findings in ways that highlight their relevance and implications for non-specialist audiences. Yet, it is unclear to what degree journalists use open research outputs, such as open access publications or preprints, in their reporting; what factors motivate or constrain this use; and how the recent surge in openly available research seen during the COVID-19 pandemic has affected this. This article examines these questions through a review of relevant literature published from 2018 onwards—particularly literature relating to the COVID-19 pandemic—as well as seminal articles outside the search dates. We find that research that explicitly examines journalists’ engagement with open access publications or preprints is scarce, with existing literature mostly addressing the topic tangentially or as a secondary concern, rather than a primary focus. Still, the limited body of evidence points to several factors that may hamper journalists’ use of these…

Introduction: Preoperative carbohydrate loading (PCL), part of Enhanced Recovery After Surgery (ERAS) protocols, involves giving carbohydrate-rich liquids before surgery instead of traditional fasting. It improves glucose control, reduces insulin resistance, and enhances patient comfort. Methods: A comprehensive scoping review was conducted using databases such as PubMed, CINAHL, EMBASE, Cochrane Library, Scopus, and Web of Science, focusing on studies from 2017 to 2024. Primary, English-language clinical trial involving pediatric patients were included without restrictions on surgical procedure, or outcomes. Data extraction was focused on sample sizes, PCL types, and perioperative outcomes. Results: The scoping review examined 11 studies on PCL in pediatric surgery, covering various procedures with sample sizes ranging from 18 to 1200 participants. Most studies indicated metabolic benefits, with 7 out of 11 showing stabilized blood glucose and reduced hypoglycemia risk. Additionally, 5 studies associated PCL with reduced preoperative anxiety, agitation, and discomfort, including…

Pollution refers to the addition of harmful substances to that level where they cause an effect on the environment, it has three major categories such as water, soil, and air pollution but this report is on water pollution. It occurs when harmful substances contaminate water bodies such as, groundwater, rivers, lakes, and oceans rendering them unfavorable for various purposes for example drinking, recreation, and support to aquatic life. Globally, over 80% of wastewater worldwide is discharged into the water bodies without adequate treatment. In Africa, lack of clean water and sanitation is a significant challenge in many countries, affecting approximately 319 million people. Thus, water pollution is one of the types of pollution that has been threatening the lives of living organisms. Implementing effective policies and strategies can have a profound impact on the environment and local communities. By reducing pollution levels and improving water quality, we can create a healthier environment and decrease the incidence of waterborne diseases, leading to improved health and…

Background The escalating impact of climate change underscores the critical need for advanced and sustainable climate forecasting techniques. This review examines the current state and future prospects of leveraging Artificial Intelligence (AI) for climate forecasting, focusing on enhancing accuracy and identifying complex patterns in large datasets. Methods A systematic bibliometric methodology was employed, analyzing peer-reviewed literature from the past two decades. The study screened 455 articles from Scopus and Web of Science databases using specific keywords related to AI and weather forecasting. After removing duplicates and irrelevant studies, 218 articles were selected for detailed analysis. Bibliometric analysis was conducted using RStudio software to examine publication trends, co-word co-occurrence, and thematic evolution. Results The findings indicate significant growth in AI applications for climate forecasting, particularly from 2014 to 2023. AI techniques such as machine learning, artificial neural networks, and deep learning have shown promise in improving the…

Background: Learning to thinking critically about health information and choices can protect people from unnecessary suffering, harm, and resource waste. Earlier work revealed that children can learn these skills, but printing costs and curricula compatibility remain important barriers to school implementation. We aimed to develop a set of digital learning resources for students to think critically about health that were suitable for use in Kenyan, Rwandan, and Ugandan secondary schools. Methods: We conducted work in two phases collaborating with teachers, students, schools, and national curriculum development offices using a human-centred design approach. First, we conducted context analyses and an overview of teaching strategies, prioritised content and collected examples. Next, we developed lessons and guidance iteratively, informed by data from user-testing, individual and group interviews, and school pilots. Results: Final resources include online lesson plans, teachers' guide, and extra resources, with lesson plans in two modes, for use in a classroom equipped with a…

Background The purpose of this paper was to systematically review the current literature on the use of guest speakers in higher education teaching and evaluate the implications of the findings for teaching in pharmaceutical teaching. Methods A comprehensive search of different academic databases for literature on the use of guest speakers in higher education teaching was conducted and articles meeting the inclusion criteria were included in the analysis. A total of 15 articles were used in this systematic review. Results The use of guest speakers has critical benefits including promoting better learning, good career preparedness, positive learning outcomes, and creating an environment where learners have the opportunity to perceive real-world scenarios from the experiences of the guest speakers and thus be better prepared for the job market. With the increasing importance of the role of guest speakers in higher education learning, researchers have been engaging in coming up with standards and best practices for enhancing the effectiveness of the use of guest speakers in learning.…

Objective: To evaluate the scientific production on university social responsibility (USR) from institutions in Latin America and the Caribbean. Methods: A bibliometric analysis was conducted on documents published in indexed journals in the Scopus database from its inception until April 2023. Eligible documents included those on USR describing experiences carried out by universities in Latin America and the Caribbean. The number of articles per author, average authors per article, average citations per article, and the number of documents with one or more author were described. Bibliometric indicators regarding authors per article, co-authors per article, and institutional collaboration were presented. Bibliometric networks were constructed based on bibliographic coupling analysis of documents by countries and term co-occurrence in titles and abstracts. Results: Of a total of 4075 documents retrieved from Scopus, 150 were included. Documents published between 1997 and 2023 were identified, with an average annual growth rate of 2.7%. A total of 439 authors were identified, 18…

Background: Sustainability in small and medium-sized enterprises (SMEs) which engage heavily in manufacturing provides them with an essential platform for implementing environmental strategy, which is aimed at reducing environmental damage and promoting environmental protection. This study aims to examine the impact of the reduction in resource use, the greening of processes and products on environmental strategy and the mediating role of green employee behaviour. Methods: Primary data gathered with the help of questionnaires from employees of SMEs manufacturing in developing countries, Pakistan. The research gathered data from 211 participants by applying a pre-tested instrumental questionnaire and structural equation modelling (SEM) SmartPLS version 3 was used for data analysis. Results: The results confirmed all direct effects, including a reduction in resource use, the greening of processes and products and green employee behaviour of environmental strategies in small and medium manufacturing firms. Also, confirmed partial mediation effect of green employee behavior between…

Background: Periodontal regeneration therapies frequently involve autologous platelet concentrates (APCs). They can be used in sinus lift surgeries and socket preservation, among other clinical settings. Platelet rich fibrin (PRF) membrane has been used to treat gingival recession in individuals or groups of individuals using a coronally progressed or lateral pedicle flap. In the treatment of mixed periodontic endodontic lesion/furcation defect, PRF functions as a healing and interpositional biomaterial, filling a cystic cavity. PRF is known to help the bone regeneration process. In the last few years, efforts have been made to enhance the PRFs characteristics and quality. One of them is titanium platelet rich fibrin (T-PRF). Third-generation platelet concentrate no longer contains silica, and its preparation in glass vacuum containers, that no longer creates any known concerns. The effectiveness PRF's has been evaluated in connective tissue and bone repair. The aim of this study is to compare T-PRF to other platelet concentrates and different treatment modalities for periodontal…

Background Patient-related factors and limited medication adherence in patients with chronic diseases, are associated with poor clinical outcomes, long-term complications, and increased overall disease costs. Many methods have been tested with mixed results, and innovative approaches are needed to encourage patients to adhere to their prescribed drug regimens. Methods This randomised controlled trial examined a new multifactorial pharmacist-led intervention protocol (MPIP), including a medication therapy management (MTM) program with face-to-face counselling, patient-specific medication booklets, and a mobile application, from July 2021 to September 2022 in the Oud Al Touba diagnostic and screening ambulatory centre in 192 patients with type 2 diabetes in the United Arab Emirates. Medication adherence was assessed using the fixed medication possession ratio of medication refills and the medication adherence questionnaire. Results At 12 months follow-up, participants in the MPIP showed significant improvement in overall medication adherence with total (composite) medication…

Background: The Indian government is committed to addressing various manifestations of malnutrition, including overweight and obesity, inorder to improve individual health and well-being. The scoping review aims to map existing national policy instruments (programmes, schemes, regulations and guidelines) addressing overweight and obesity in India and analysing them for Social and Behaviour Change Communication (SBCC) strategies. Methods: Systematic identification and selection of policy instruments using 'Arksey and O'Malley' framework was conducted from central government ministry websites, between March and June 2023. These instruments focused on nutrition and/or physical activity, targeting specific demographic groups like pregnant women, lactating mothers, children (0-5 years and 5-9 years), or adolescents (10-19 years); excluding those focusing on specific diseases like micronutrient deficiencies, wasting, and stunting. Based on search strategy six policy instruments were included and analysed for SBCC strategies. Results: While many policy instruments incorporated SBCC plans;…

Background By conducting an in-depth study of the publications, a review was conducted with the goal of evaluating the sample size in educational research. The sample size, represented by the letter “n,” is a key factor in this research because it specifies the number of participants who represent the target population. Although various studies have been published in the literature defining the processes for calculating sample sizes, there is still much uncertainty. It is vital to understand that there is no single all-encompassing method for determining sample sizes for different study designs. Instead, different study designs call for different approaches to determine sample numbers. Methods Information was retrieved from the databases in accordance with updated PRISMA recommendations. The keywords used for the retrieval of the relevant articles from two databases (Google Scholar and PubMed). The articles were selected by thorough scrutiny and application of inclusion and exclusion criteria. Results Seven articles were selected and the comparison was made among the studies in the…

Background: Irritable bowel syndrome (IBS) is common with a global prevalence of 4%. Dietary regimes with a low content of fermentable oligo-, di-, and monosaccharides and polyol (FODMAP) or a starch- and sucrose-reduced diet (SSRD) have proven to be efficient. The aim of the present study was to describe the recruitment process for a randomized dietary trial with low FODMAP or SSRD for 4 weeks with a follow-up period of 5 months. The results of the dietary trial itself are not included in this paper but will be presented in another publication. Methods: The County of Skåne, with 1,41 million inhabitants, was used as a base to perform a dietary trial in which IBS patients, age 18-70 years, were randomized to either low FODMAP or SSRD for 4 weeks. The estimated number of IBS patients in the actual age span was approximately 32,000. The trial was announced through lectures, letters to all primary healthcare centers (n=203), social media (two campaigns), and invitations to IBS patients identified in medical records (n=744). Results: Three referrals arrived from the healthcare system,…

Background: Water is the lifeblood of river networks, and its quality plays a crucial role in sustaining both aquatic ecosystems and human societies. Real-time monitoring of water quality is increasingly reliant on in-situ sensor technology.Anomaly detection is crucial for identifying erroneous patterns in sensor data, but can be a challenging task due to the complexity and variability of the data, even under typical conditions. This paper presents a solution to the challenging task of anomaly detection for river network sensor data, which is essential for accurate and continuous monitoring. Methods: We use a graph neural network model, the recently proposed Graph Deviation Network (GDN), which employs graph attention-based forecasting to capture the complex spatio-temporal relationships between sensors. We propose an alternate anomaly threshold criteria for the model, GDN+, based on the learned graph. To evaluate the model's efficacy, we introduce new benchmarking simulation experiments with highly-sophisticated dependency structures and subsequence anomalies of various types. We…

Converged computing is an emerging area of computing that brings together the best of both worlds for high performance computing (HPC) and cloud-native communities. The economic influence of cloud computing and the need for workflow portability, flexibility, and manageability are driving this emergence. Navigating the uncharted territory and building an effective space for both HPC and cloud require collaborative technological development and research. In this work, we focus on developing components for the converged workload manager, the central component of batch workflows running in any environment. From the cloud we base our work on Kubernetes, the de facto standard batch workload orchestrator. From HPC the orchestrator counterpart is Flux Framework, a fully hierarchical resource management and graph-based scheduler with a modular architecture that supports sophisticated scheduling and job management. Bringing these managers together consists of implementing Flux inside of Kubernetes, enabling hierarchical resource management and scheduling that scales without burdening the…

Wireless capsule endoscopy is a non-invasive medical imaging modality used for diagnosing and monitoring digestive tract diseases. However, the analysis of images obtained from wireless capsule endoscopy is a challenging task, as the images are of low resolution and often contain a large number of artifacts. In recent years, deep learning has shown great promise in the analysis of medical images, including wireless capsule endoscopy images. This paper provides a review of the current trends and future directions in deep learning for wireless capsule endoscopy. We focus on the recent advances in transfer learning, attention mechanisms, multi-modal learning, automated lesion detection, interpretability and explainability, data augmentation, and edge computing. We also highlight the challenges and limitations of current deep learning methods and discuss the potential future directions for the field. Our review provides insights into the ongoing research and development efforts in the field of deep learning for wireless capsule endoscopy, and can serve as a reference for researchers,…

Background: Rabies is 100% preventable by administering early and complete post exposure prophylaxis (PEP). Animal bite victims must have the knowledge and attitude necessary to seek appropriate medical care at the earliest to receive the required PEP. Objectives: The present study sought to ascertain the health-seeking behavior of animal bite victims, their knowledge and attitude regarding rabies prophylaxis, the PEP they received, and their level of compliance with the full course of anti-rabies vaccination. Methods: The study included animal bite cases that presented to the anti-rabies clinic and matched the eligibility criteria. All the required details were recorded using an internally validated structured questionnaire. All participants were followed up for six months to ensure their health conditions and compliance with the vaccination schedule. Results: Out of 1058 respondents, 57.9% were adults, with 46.6% belonging to middle socioeconomic class. 91.1% of them were informed biting animals as dogs. Before arriving at the anti-rabies clinic, 93.3% of the study subjects washed…

The 2020 world population data sheet indicates that world population is projected to increase from 7.8 billion in 2020 to 9.9 billion by 2050 (Increase of more than 25%). Due to the expected growth in human population, the demand for meats that could improve health status and provide therapeutic benefits is also projected to rise. The dromedary also known as the Arabian camel, or one-humped camel ( Camelus dromedarius ), a pseudo ruminant adapted to arid climates, has physiological, biological and metabolic characteristics which give it a legendary reputation for surviving in the extreme conditions of desert environments considered restrictive for other ruminants. Camel meat is an ethnic food consumed across the arid regions of Middle East, North-East Africa, Australia and China. For these medicinal and nutritional benefits, camel meat can be a great option for sustainable meat worldwide supply. A considerable amount of literature has been published on technological aspects and quality properties of beef, lamb and pork but the information available on the technological aspects of…

Background Pedagogical best practices play a pivotal role in ensuring the academic success of students within the higher education landscape. This study aims to systematically synthesize innovative pedagogical best practices within the university context. Methods We conducted a thorough systematic review using the rigorous PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. Our review involved comprehensive searches of scientific databases, including Eric, Scopus, and Proquest, covering both Spanish and English publications. We strategically employed Boolean operators like AND and OR to create a robust search equation. Our primary research question guiding this investigation was: “What innovative pedagogical practices have been developed in university settings to improve teaching and learning effectiveness?” This central question led us to delve deeply into the strategies utilized, pedagogical approaches adopted, and the noticeable impact achieved after their implementation. Additionally, we carefully established stringent inclusion and exclusion…

Background: Cyberbullying is a distinct phenomenon characterised by the rapid dissemination of information, the permanence of content, and the availability of victims. Yet, there is a scarcity of studies in this field, and few studies have looked at the elements that contribute to cyberbullying behaviour. The aim of this study is to examine the relationship of cyberbullying with loneliness and well-being through psychological distress among adolescents in Malaysia. Methods: 386 teenagers with ages ranging from 12 to 18 were chosen using multistage cluster random sampling. To analyse the data, structural equation modeling was applied. Results: According to the study, cyberbullying has a positive relationship with psychological discomfort but a negative relationship with loneliness and general well-being. Additionally, psychological distress (depression, anxiety, and stress) mediates the relationship between cyberbullying and feelings of wellbeing and loneliness. Conclusions: The results ought to spark discussion about potential treatments to enhance teenage wellbeing and prevent…

Fibroblasts, non-hematopoietic cells of mesenchymal origin, are tissue architects which regulate the topography of tissues, dictate tissue resident cell types, and drive fibrotic disease. Fibroblasts regulate the composition of the extracellular matrix (ECM), a 3-dimensional network of macromolecules that comprise the acellular milieu of tissues. Fibroblasts can directly and indirectly regulate immune responses by secreting ECM and ECM-bound molecules to shape tissue structure and influence organ function. In this review, we will highlight recent studies which elucidate the mechanisms by which fibroblast-derived ECM factors (e.g., collagens, fibrillar proteins) regulate ECM architecture and subsequent immune responses, with a focus on macrophages. As examples of fibroblast-derived ECM proteins, we examine Collagen Triple Helix Repeat Containing 1 (CTHRC1) and Transforming Growth Factor-β-inducible protein (TGFBI), also known as BIGH3. We address the need for investigation into how diverse fibroblast populations coordinate immune responses by modulating ECM, including the…

Background Atopic dermatitis (AD) is a chronic inflammatory skin condition characterized by pruritus and skin barrier dysfunction. This study aims to evaluate the therapeutic potential of Pelargonium graveolens (Geraniaceae) in managing AD symptoms through its essential oil. Methods The chemical composition of Pelargonium graveolens flower essential oil (PFEO) was analyzed using gas chromatography-mass spectrometry (GC-MS). Its antimicrobial, antioxidant, and anti-inflammatory properties were assessed, along with the inhibitory effects of PFEO on key enzymes involved in skin repair: tyrosinase, elastase, and collagenase. An in vivo evaluation of a gel formulation containing PFEO was also conducted to assess its anti-inflammatory and analgesic efficacy. Results GC-MS analysis identified major compounds in PFEO, including Geraniol (22.83%), beta-citronellol (19.51%), naphthalenemethanol (15.36%), and Geranyl tiglate (9.38%), with minor constituents such as linalool (3.81%) and neryl formate (1.31%). PFEO exhibited bacteriostatic activity against various bacterial and fungal strains,…

Biopesticides are pest control products derived from natural sources such as microbes, macro-organisms (insects and pathogens), plant extracts, and certain minerals. Many biopesticides are considered environmentally safe and can complement or substitute conventional chemical pesticides. They can also be highly specific or broad spectrum with a unique mode of action controlling a wide range of pest species. Due to their target-specificity and low to no environmental residuality, biopesticides conform to the 3 pillars of Climate-Smart Agriculture, the Sustainable Development Goals, and, ultimately, the Paris Agreement. This review focuses largely on microbial biopesticides derived from fungi, bacteria, viruses, and nematodes. It discusses (i) the various microbial biopesticide formulations, (ii) the mode of microbial biopesticide action, (iii) the factors that affect the potential efficacy of biopesticides, (iv) challenges to the adoption of microbial biopesticides, and (v) the role of microbial biopesticides in Integrated Pest Management programs. Finally, advancements in application…

Background: Antimicrobial resistance is increasing at an alarming rate. The use of antibiotics without a prescription by a patient or other family members and their inappropriate storage have caused serious health issues as it would lead to antibiotic resistance and exposure to the risk of harmful adverse effects unnecessarily. Therefore, the study aimed to evaluate the current behaviour of antibiotic usage, storage, re-usage and misuse among the residents of Saudi Arabia. Methods: This is a cross-sectional study. Our target study population was the residents of Saudi Arabia. Data were collected by an online questionnaire and analysed by SPSS. Results: A total of 738 participants answered the online questionnaire from all ages, genders, nationalities, and socioeconomic backgrounds residing in different regions across the Kingdom of Saudi Arabia. 76.42% knew that an antibiotic is a chemical substance used to treat infections. The participants were questioned about when they started using antibiotics, to which 95.66% (n=706) responded after consulting a physician, 3.25% (n=24) said…

Background: Building Metagenome-Assembled Genomes (MAGs) from highly complex metagenomics datasets encompasses a series of steps covering from cleaning the sequences, assembling them to finally group them into bins. Along the process, multiple tools aimed to assess the quality and integrity of each MAG are implemented. Nonetheless, even when incorporated within end-to-end pipelines, the outputs of these pieces of software must be visualized and analyzed manually lacking integration in a complete framework. Methods: We developed a Nextflow pipeline (MAGFlow) for estimating the quality of MAGs through a wide variety of approaches (BUSCO, CheckM2, GUNC and QUAST), as well as for annotating taxonomically the metagenomes using GTDB-Tk2. MAGFlow is coupled to a Python-Dash application (BIgMAG) that displays the concatenated outcomes from the tools included by MAGFlow, highlighting the most important metrics in a single interactive environment along with a comparison/clustering of the input data. Results: methodology. Conclusions: MAGFlow/BIgMAG represents a unique tool that integrates…

Background The integration of generative Artificial Intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, into the field of applied linguistics presents transformative opportunities alongside notable challenges. This study aims to evaluate the role of AI in applied linguistics through a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. Methods Using a sample derived from Scopus and Web of Science, we identified relevant studies by applying specific search terms. Our qualitative research design used the SWOT framework to systematically review and analyse studies, ensuring a robust synthesis of data. Results The results of our SWOT analysis revealed the following: 1) Strengths: Enhanced educational tools and resources through AI-driven personalization and interactive learning, increased efficiency and accessibility in generating educational materials, and innovative research applications leveraging semantic similarity measures and advanced linguistic analyses. 2) Weaknesses: Quality and accuracy concerns in AI-generated content, potential…

Background: The growing importance of emotional intelligence in academic and professional contexts has generated a need to explore its linkage with psychological well-being. Furthermore, understanding how various demographic and academic factors can influence students' emotional perception and management is crucial for optimizing educational and intervention strategies. In this context, the primary purpose of this study was to analyze the existing relationship between emotional education and psychological well-being in graduate students. Methods: The objective was to conduct a comparative analysis of perceived emotional intelligence (PEI) in different study programs offered at a specific university. The methodology, framed within a positivist paradigm, was based on a quantitative approach and examines the responses of 1,522 university students using the Trait Meta-Mood Scale (TMMS-24). Results: This tool, which is divided into three dimensions (emotional attention, emotional clarity, and emotional repair), was analyzed using descriptive statistics, correlation analysis, and ANOVA…

Background Body goes through significant hormonal and physiological changes during pregnancy, which could be linked to changes in oral health. Many women are unaware of the negative consequences of poor dental health during and after pregnancy, both for themselves and their children. Therefore, this study aimed to assess the effectiveness of Motivational Interviewing (MI) and cross platform messaging application (WhatsApp messenger) for oral health education on the oral health knowledge, attitude and behaviours among pregnant women attending ante natal care. Methods A randomized controlled trial was conducted among 84 pregnant women. Simple random sampling was employed to select participants after oral examination. Participants were randomly allocated to two groups (Group 1: Cross-platform messaging application [WhatsApp]; Group 2: MI) using a lottery method. Pregnant women aged 18 years and older, gestational age between 8 and 30 weeks were included. A face-to-face interview and oral examination were conducted to assess baseline knowledge and oral hygiene status. A follow-up…

Background: Industry 4.0 is a significant technical revolution that combines big data analytics, the Internet of Things (IoT), and cyber-physical systems to improve manufacturing productivity. This study investigates the impact of digital trust and sustainable attitude on perceived value and the intention to adopt Industry 4.0 technologies. It also examines the moderating role of uncertainty avoidance in these relationships. Methods: Data were collected from 189 employees of leading manufacturing companies in Indonesia that are recognized for their Industry 4.0 practices. The data were analyzed using Partial Least Squares (PLS) methodology with SmartPLS software to test the proposed hypotheses and explore the moderating effects. Results: The findings reveal that both digital trust and sustainable attitude significantly influence perceived value. However, these factors do not directly affect the intention to adopt Industry 4.0 technologies. Uncertainty avoidance moderates the relationship between digital trust and adoption intention. Specifically, in environments with high…

is associated with neurodevelopmental disorders, highlighting the importance of identifying high-quality research reagents to enhance understanding of Synaptotagmin-1 in health and disease. Here we have characterized thirteen Synaptotagmin-1 commercial antibodies for western blot, immunoprecipitation, immunofluorescence and flow cytometry using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. These studies are part of a larger, collaborative initiative seeking to address antibody reproducibility issues by characterizing commercially available antibodies for human proteins and publishing the results openly as a resource for the scientific community. While use of antibodies and protocols vary between laboratories, we encourage readers to use this report as a guide to select the most appropriate antibodies for their specific needs.

Background: The tomato, Solanum lycopersicum L., is one of the most important horticultural crops that can be consumed fresh or after being processed worldwide. The tomato leaf miner (Tuta absoluta) is one of the most devastating pest to tomato plants due to its mine-feeding nature in the mesophyll tissue of the plant. Fungal entomopathogens can exist naturally in plants as an asymptote. This study aimed to detect the endophytic colonization of Beauveria bassiana and Metarhizium robertsii within tomato plants via artificial inoculation and their virulence effects on Tuta absoluta. Methods: Isolates with the highest percent germination and virulence against T. absoluta were selected for endophytic evaluation within tomato plants by different artificial inoculation techniques. Results: conidial/ml at 7 days post inoculated. However, the highest cumulative mortality (100%) was recorded by Beauveria bassiana isolate APPRC-27 at 10 days post inoculated through the direct contact method. The highest endophytic colonization was registered by isolate APPRC-27 (76.67%) at 7 days…

Background This study seeks to examine the causal link between financial deepening, national security, ecological footprint, and economic growth in Nigeria, in order to contribute to the contradicting evidence on economic growth drivers. Methods The dynamic ARDL model was employed as the baseline model to establish the link between the phenomena, and the FMOLS and DOLS as robust models using time series data spanning from 1995 to 2022. The FMOLS and DOLS models take into consideration the presence of endogeneity, cross-sectional dependency, and heterogeneity. Results The results demonstrate that whereas ecological footprint has positive and significant long-term relationships with economic growth, financial deepening and national security have negative and significant long-run relationships with economic growth. There was a 34% and 50% correction to the short-term to long-term adjustment speed, respectively. The findings of the Granger causality, interaction terms, marginal (ME), and threshold (TH) effects demonstrate: a) a significant bidirectional causal relationship between…