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IntroductionThis systematic review and meta-analysis present a comprehensive evaluation of paper-based microfluidic devices, focusing on their applications in immunoassays. These devices are emerging as innovative solutions to democratize access to diagnostic technologies, especially in resource-limited settings. Our review consolidates findings from diverse studies to outline advancements in paper-based microfluidic technology, including design intricacies and operational efficacy. Key advantages such as low cost, portability, and ease of use are highlighted.Materials and MethodsThe review categorizes literature based on the design and operational nuances of these diagnostic tools, exploring various methodologies, fabrication techniques, detection methods, and applications, particularly in protein science. The meta-analysis extends to the diverse applications of these technologies, providing a framework for classifying and stratifying their uses in diagnostics.Results and discussionNotable findings include a critical analysis of performance metrics, such as sensitivity and specificity. The review addresses challenges, including the need for further validation and optimization for broader clinical applications. A critical discussion on the validation processes, including cross-validation and rigorous control testing, is provided to ensure the robustness of microfluidic devices. This study offers novel insights into the computational strategies underpinning these technologies and serves as a comprehensive roadmap for future research, potentially broadening the impact across the protein science universe.

The development of digital technology has changed the audience's reading behavior and reading habits, and the difference between digital reading and paper reading has become a research hot spot. However, the academic circle has not reached an agreement on the reading effect of digital reading and paper reading. This study included 37 experimental studies for meta-analysis and analyzed the influence of moderating variables such as audience characteristics, text characteristics, and reading conditions. This study deepens the understanding of the reading effect and provides a reference for improving it. The study shows no significant difference in overall reading comprehension between digital reading and paper reading, and there are differences under moderating variables. The study has revealed that digital reading and paper reading have advantages and disadvantages and complement each other. The publishing industry should develop corresponding knowledge service products based on the characteristics of reading effects to promote the healthy development of the reading industry.

This comprehensive analysis delves into the multifaceted evolution of research concerning information and communication technology (ICT) within the dynamic landscape of education. Embracing the meta-analysis methodology, this study embarks on a detailed journey through the corpus of scientific literature devoted to exploring the intricate interplay between ICT and education. Covering a substantial temporal span from 2002 to 2022, this investigation meticulously scrutinises and synthesises a wealth of scholarly contributions, illuminating diverse dimensions of the integration of ICT and its impact in educational settings. The overarching objective is to discern not only the methodological nuances, but also the transformative potential and broader trends that underscore the nexus of ICT and education. With a keen focus on Lithuanian scholarly output, this analysis seeks to unravel the intricate tapestry of research endeavours, shedding light on the methodological paradigms, thematic trajectories, and empirical insights that have shaped the discourse surrounding the role of ICT in education over the past decade. At its core, this study aims to address a constellation of probing questions that lie at the heart of contemporary educational discourse. How has the research methodology pertaining to the application of ICT in education evolved over time? In what specific domains and subdomains of education are the contours of the influence of ICT most discernible, and what emergent themes and focal points have garnered scholarly attention? Furthermore, what demographic cohorts and educational stakeholders emerge as primary subjects of inquiry, and how do researchers navigate the complexities of data collection and analysis in elucidating the nuanced dynamics of ICT integration in educational contexts? Through a judicious blend of quantitative and qualitative analyses, this study embarks on an ambitious journey to unravel the intricate threads of inquiry that animate the discourse surrounding ICT in education. By adopting a mixed-method meta-analytical framework, this investigation offers a panoramic vista that spans thematic, temporal, methodological, and demographic dimensions, thereby affording a nuanced understanding of the multifaceted landscape of the integration of ICT in education. In traversing this expansive terrain of inquiry, this study aspires not only to illuminate the contours of past research endeavours, but also to chart a course for future inquiry and innovation in harnessing the transformative potential of ICT to enrich and enhance educational practices and outcomes. After analysing Lithuanian scientific works related to the application of ICT in the field of education, it is evident that quantitative methodologies are most commonly chosen for empirical research on this topic, while qualitative methodologies are less prevalent. In articles employing quantitative methodologies, prevalent themes relating to ICT include: competency, application, possibilities and experiences, virtual learning environments, users of these environments, development in education, usage habits, attitudes towards ICT tool usage, augmented reality technologies, ICT as a component of learning environments, computer usage at home, and incentive-based encouragement using ICT tools. In articles employing qualitative methodologies, prevalent themes relating to ICT include: values education, opportunities, the internet, incentive-based encouragement, virtual learning environments, cloud computing, and experiences of using ICT in the teaching and learning process. Mixed-methodology articles commonly focus on the pedagogical foundations of educational environments, virtual experiments, the engagement of education participants, skills development, adult education, the personalisation of teaching and learning, e-learning, the educational environment, and increasing motivation. The most frequently studied subjects in these articles are teachers, followed by students, with other participant groups such as education experts and support specialists being less common. Systematising the data collection instruments used in the scientific articles analysed revealed that questionnaires predominated, with interviews being chosen less frequently, and other types of instruments being rare. An analysis of the essential conclusions of the examined scientific articles reveals that positive experiences of using ICT in the field of education are significantly more prevalent than negative experiences.

As handheld devices, such as tablets, become a common tool in schools, a critical and urgent question for the research community is to assess their potential impact on educational outcomes. Previous meta-analytic research has evidenced the "screen inferiority effect": Readers tend to understand texts slightly worse when reading on-screen than when reading the same text in print. Most primary studies from those meta-analyses used computers as on-screen reading devices. Accordingly, the extent to which handheld devices, which provide a reading experience closer to books than computers, are affected by the screen inferiority effect remains an open question. To address this issue, we reviewed relevant literature regarding potential moderating factors for the screen inferiority effect through the lenses of the reading for understanding framework. We then performed two meta-analyses aimed at examining the differences in reading comprehension when reading on handheld devices, as compared to print. Results from the two multilevel random-effect meta-analyses, which included primary studies that used either between-participant (k = 38, g = −0.113) or within-participant (k = 21, g = −0.103) designs, consistently showed a significant small size effect favoring print text comprehension. Moderator analyses helped to partially clarify the results, indicating in some cases a higher screen inferiority effect for undergraduate students (as compared to primary and secondary school students) and for participants who were assessed individually (as opposed to in groups). We discuss the need to continue fostering print reading in schools while developing effective ways to incorporate handheld devices for reading purposes. Educational Impact and Implications Statement: Handheld devices, such as tablets, are widely used in schools as reading devices. Our synthesis of existing studies indicates that readers comprehend slightly better when they read a text in print as opposed to on a handheld device. In-print reading can be considered as an efficient way to promote students' text comprehension. [ABSTRACT FROM AUTHOR]

The application of artificial intelligence in education has garnered more attention in academia, and its role in promoting student personalized learning has sparked a lot of discussion. Many researchers have emphasized the positive effect of intelligent technology in supporting student personalized learning; however, there is a lack of systematic data evidence in this regard. This article seeks to evaluate the effects of artificial intelligence-assisted personalized learning on student learning outcomes based on a meta-analysis of 36 experimental and quasi-experimental studies from 31 published papers. The analysis results show that artificial intelligence-assisted personalized learning has moderately positive effects on student learning outcomes in terms of knowledge, competence, and emotional development. Variables such as the type of Edutech applications, learning scenario, and duration of application can moderate the relationship between artificial intelligence-assisted personalized learning and student learning outcomes, whereas the education phase and disciplinary domain do not exhibit significant moderating effects on this relationship. The purpose of this study is to provide implications and references for further research and practical explorations of artificial intelligence application in education. [ABSTRACT FROM AUTHOR]

In this article, we review the ways in which replication has been and could be featured in consumer behavior, using Journal of Consumer Research as a specific setting. We present a framework for thinking about the generalizability of research findings and differentiate various potential benefits that replication can have for understanding variability in consumer research findings. We then define four different types of replications, describe how researchers can use these approaches to produce distinct benefits, and give guidance regarding conducting, interpreting, and the potential contributions of these different types of replications. We conclude with a discussion of various ways in which replication could be more fully integrated into different phases of the scientific research process, taking into account the contribution necessary for publication. In particular, we identify opportunities to incorporate independent replication into original papers, to increase the replication-based contribution in papers that build on prior work, and to use systematic replication in conjunction with meta-analysis to synthesize and confirm conclusions from a mature research literature. More fully integrating replication into scientific practice can yield a new equilibrium, in which replication is routine, typically consistent with previous results, and recognized as necessary for establishing an empirical generalization. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to establish whether accounting research articles can be potentially generated by artificial intelligence. If artificial intelligence can produce quality work, the integrity of academic research may be compromised. Design/methodology/approach: ChatGPT was used to create a paper on a meta-analysis of the relationship between sustainability reporting and value relevance. After the paper was generated, references had to be added by hand based on the citations created by ChatGPT. The paper was then presented as-is for review. Findings: ChatGPT was able to create a relatively good-quality research paper that received two major revisions from independent specialists in the field of accounting and finance. Even though there is uncertainty regarding the appropriateness of all the references and the results cannot be confirmed, there is a risk that a reviewer may find the paper publishable because reviewers are not compelled to check references and the accuracy of results if proper methods were used that appear to be sufficient at face value. Originality/value: Artificial intelligence for academic writing is still relatively new, and there is still significant uncertainty as to the impact it may have on scholarly research. This is especially problematic because artificial intelligence applications improve by the second. [ABSTRACT FROM AUTHOR]

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Machine learning (ML) has become increasingly popular in the prediction of debris flow occurrence, but the various ML models utilized as baseline predictors reported in previous studies are typically limited to individual case bases. A comprehensive and systematic evaluation of existing empirical evidence on the utilization of ML as baseline predictors for debris flow occurrence is lacking. To address this gap, we conducted a meta-analysis of ML-based prediction modeling of debris flow occurrence by retrieving papers that were published between 2000 and 2023 from the Scopus and Web of Science databases. The general findings were as follows: (1) A total of 84 papers, distributed across 37 different journals in this time period, reflecting an overall upward trend. (2) Debris flow disasters occur throughout the world, and a total of 13 countries carried out research on the prediction of debris flow occurrence based on ML; China made significant contributions, but more research efforts in African countries should be considered. (3) A total of 36 categories of ML models were utilized as baseline predictors for debris flow occurrence, with logistic regression (LR) and random forest (RF) emerging as the most popular choices. (4) Feature engineering and model comparison were the most commonly utilized strategies in predicting debris flow occurrence based on ML (53 and 46 papers, respectively). (5) Interpretation methods were rarely utilized in predicting debris flow occurrence based on ML, with only 16 papers reporting their utilization. (6) In the prediction of debris flow occurrence based on ML, interpretation methods were rarely utilized, searching by data materials was the most important sample data source, the topographic factors were the most commonly utilized category of candidate variables, and the area under the ROC curve (AUROC) was the most frequently reported evaluation metric. (7) LR's prediction performance for debris flow occurrence was inferior to that of RF, BPNN, and SVM; SVM was comparable to RF, and all superior to BPNN. (8) The application process for the prediction of debris flow occurrence based on ML consisted of three main steps: data preparation, model construction and evaluation, and prediction outcomes. The research gaps in predicting debris flow occurrence based on ML include utilizing new ML techniques and enhancing the interpretability of ML. Consequently, this study contributes both to academic ML research and to practical applications in the prediction of debris flow occurrence. [ABSTRACT FROM AUTHOR]

This is the first study on the effects of the dam on channel morphology the downstream of dam on a global scale with a systematic review and meta-analysis approach. This study was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Therefore, the SCOPUS and Web of Science databases were searched using the Boolean operators 'AND' and 'OR' combined with keywords related to the subject area. All of the papers were in English and published up to 2023. Ultimately, 76 papers were evaluated for systematic review (qualitative analysis) and only 6 papers for meta-analysis (quantitative analysis). Results showed that the number of published papers has increased over time. In terms of channel adjustment, channel width decreased in the post-dam period, with narrowing and incision dominating in the downstream reaches. Meta-analysis showed that the dam has a moderately negative effect on channel width. Understanding these changes on a global scale can increase awareness of the impacts of dams on channel adjustment and their consequences. [ABSTRACT FROM AUTHOR]

In the growing halal industry, there are differences of opinion among researchers about the effect of Islamic attributes on consumer satisfaction. Therefore, this paper aims to evaluate the effect of Islamic attributes on consumer satisfaction. The Prisma flow diagram indicated 23 papers and consists of 59 studies to analyze with JASP Software. The study identifies significant authors, dominant publishers, methodology, and theories commonly employed in this topic. The result proves that catering to Muslim needs through Islamic attributes can significantly enhance consumer satisfaction and the presence of other variables as moderators will strengthen tourist satisfaction. [ABSTRACT FROM AUTHOR]

Background: Homelessness is a traumatic experience, and can have a devastating effect on those experiencing it. People who are homeless often face significant barriers when accessing public services, and have often experienced adverse childhood events, extreme social disadvantage, physical, emotional and sexual abuse, neglect, low self‐esteem, poor physical and mental health, and much lower life expectancy compared to the general population. Rates of problematic substance use are disproportionately high, with many using drugs and alcohol to deal with the stress of living on the street, to keep warm, or to block out memories of previous abuse or trauma. Substance dependency can also create barriers to successful transition to stable housing. Objectives: To understand the effectiveness of different substance use interventions for adults experiencing homelessness. Search Methods: The primary source of studies for was the 4th edition of the Homelessness Effectiveness Studies Evidence and Gaps Maps (EGM). Searches for the EGM were completed in September 2021. Other potential studies were identified through a call for grey evidence, hand‐searching key journals, and unpacking relevant systematic reviews. Selection Criteria: Eligible studies were impact evaluations that involved some comparison group. We included studies that tested the effectiveness of substance use interventions, and measured substance use outcomes, for adults experiencing homelessness in high income countries. Data Collection and Analysis: Descriptive characteristics and statistical information in included studies were coded and checked by at least two members of the review team. Studies selected for the review were assessed for confidence in the findings. Standardised effect sizes were calculated and, if a study did not provide sufficient raw data for the calculation of an effect size, author(s) were contacted to obtain these data. We used random‐effects meta‐analysis and robust‐variance estimation procedures to synthesise effect sizes. If a study included multiple effects, we carried out a critical assessment to determine (even if only theoretically) whether the effects are likely to be dependent. Where dependent effects were identified, we used robust variance estimation to determine whether we can account for these. Where effect sizes were converted from a binary to continuous measure (or vice versa), we undertook a sensitivity analysis by running an additional analysis with these studies omitted. We also assessed the sensitivity of results to inclusion of non‐randomised studies and studies classified as low confidence in findings. All included an assessment of statistical heterogeneity. Finally, we undertook analysis to assess whether publication bias was likely to be a factor in our findings. For those studies that we were unable to include in meta‐analysis, we have provided a narrative synthesis of the study and its findings. Main Results: We included 48 individual papers covering 34 unique studies. The studies covered 15, 255 participants, with all but one of the studies being from the United States and Canada. Most papers were rated as low confidence (n = 25, or 52%). By far the most common reason for studies being rated as low confidence was high rates of attrition and/or differential attrition of study participants, that fell below the What Works Clearinghouse liberal attrition standard. Eleven of the included studies were rated as medium confidence and 12 studies as high confidence. The interventions included in our analysis were more effective in reducing substance use than treatment as usual, with an overall effect size of –0.11 SD (95% confidence interval [CI], −0.27, 0.05). There was substantial heterogeneity across studies, and the results were sensitive to the removal of low confidence studies (−0.21 SD, 95% CI [−0.59, 0.17] − 6 studies, 17 effect sizes), the removal of quasi‐experimental studies (−0.14 SD, 95% CI [−0.30, 0.02] − 14 studies, 41 effect sizes) and the removal of studies where an effect size had been converted from a binary to a continuous outcome (−0.08 SD, 95% CI [−0.31, 0.15] − 10 studies, 31 effect sizes). This suggests that the findings are sensitive to the inclusion of lower quality studies, although unusually the average effect increases when we removed low confidence studies. The average effect for abstinence‐based interventions compared to treatment‐as‐usual (TAU) service provision was –0.28 SD (95% CI, −0.65, 0.09) (6 studies, 15 effect sizes), and for harm reduction interventions compared to a TAU service provision is close to 0 at 0.03 SD (95% CI, −0.08, 0.14) (9 studies, 30 effect sizes). The confidence intervals for both estimates are wide and crossing zero. For both, the comparison groups are primarily abstinence‐based, with the exception of two studies where the comparison group condition was unclear. We found that both Assertative Community Treatment and Intensive Case Management were no better than treatment as usual, with average effect on substance use of 0.03 SD, 95% CI [−0.07, 0.13] and –0.47 SD, 95% CI [−0.72, −0.21] 0.05 SD, 95% CI [−0.28, 0.39] respectively. These findings are consistent with wider research, and it is important to note that we only examined the effect on substance use outcomes (these interventions can be effective in terms of other outcomes). We found that CM interventions can be effective in reducing substance use compared to treatment as usual, with an average effect of –0.47 SD, 95% CI (−0.72, −0.21). All of these results need to be considered in light of the quality of the underlying evidence. There were six further interventions where we undertook narrative synthesis. These syntheses suggest that Group Work, Harm Reduction Psychotherapy, and Therapeutic Communities are effective in reducing substance use, with mixed results found for Motivational Interviewing and Talking Therapies (including Cognitive Behavioural Therapy). The narrative synthesis suggested that Residential Rehabilitation was no better than treatment as usual in terms of reducing substance use for our population of interest. Authors' Conclusions: Although our analysis of harm reduction versus treatment as usual, abstinence versus treatment as usual, and harm reduction versus abstinence suggests that these different approaches make little real difference to the outcomes achieved in comparison to treatment as usual. The findings suggest that some individual interventions are more effective than others. The overall low quality of the primary studies suggests that further primary impact research could be beneficial. [ABSTRACT FROM AUTHOR]

Background: Many individuals with advanced dementia die in hospital, despite preferring home death. Existing evidence of factors affecting their place of death is inconsistent. To inform policies/practices for meeting needs/preferences, systematically establishing the evidence is pertinent, particularly given the exponential rise in advanced dementia prevalence. Aim: To identify factors influencing where people with advanced dementia die. Design and data sources: This systematic review with meta-analysis was registered on PROSPERO (CRD42022366722). Medline, CINAHL, PsycINFO, SocINDEX and a grey literature database, Overton, were searched on 21/12/2022, supplemented by hand-searching/citation tracking. Papers reporting quantitative data on factors associated with place of death in advanced dementia were included and appraised using QualSyst. Data were analysed using random effects with the certainty of evidence determined using the GRADE criteria. Results: Thirty-three papers involving >5 million individuals (mean age = 89.2 years) were included. Long-term care setting deaths were relatively common but hospice deaths were rarer. Marriage's association with home death underscores social networks' importance, while younger age's and male gender's associations with hospital death demonstrate patients' and families' interdependency. Pneumonia/COPD's opposing effects on hospital deaths with cancer/functional impairment highlight the challenges of advanced dementia care. Unlike hospital/nursing home bed availability's lack of effect, capitated funding (fixed-amount-per-patient-per-period) decreased hospital death likelihood. Conclusion: This comprehensive review of place of death determinants highlight the profound challenges of advanced dementia end-of-life care. Given that bed capacity did not affect place of death, a capitation-based, integrated palliative care model would appear more likely to meet patients' needs in a resource-constrained environment. [ABSTRACT FROM AUTHOR]

Purpose: This study conducts a thorough literature review and meta-analysis to explore the adoption of blockchain technology (BCT) in supply chain management (SCM). It aims to identify the potential benefits, challenges, and critical factors influencing the implementation of this technology in supply chains. Design/methodology/approach: A systematic analysis of 157 highly cited publications is performed, offering insights into research trends, citations, industries, research methods, and contextual aspects. Thematic analysis is employed to uncover key findings regarding enablers, barriers, drivers, challenges, benefits, and drawbacks associated with BCT adoption in supply chains. Findings: The analysis highlights the complexities and opportunities involved in adopting BCT in SCM. A proposed model aligns with five dimensions, including inter-organizational, intra-organizational, technological, legal, and to assist businesses in harnessing the potential of BCT, overcoming obstacles, and managing challenges. This model provides practical recommendations for navigating the intricacies of BCT implementation while balancing associated challenges and risks. Practical implications: Organizations operating in supply chains can leverage the insights gained from this investigation to position themselves at the forefront of BCT adoption. By implementing the proposed model, they can unlock benefits such as increased transparency, efficiency, trust, and cost reduction. Originality/value: The novelty of this paper lies in its extensive review of publications on Blockchain Technology adoption in supply chains. It offers insights into various aspects such as enablers, barriers, drivers, challenges, benefits, and drawbacks. Additionally, the paper presents a comprehensive model specifically designed for successful adoption of Blockchain Technology in supply chains. This model addresses multiple dimensions including inter-organizational, intra-organizational, technological, legal, and financial. [ABSTRACT FROM AUTHOR]

Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. However, determining the optimal point at which to stop the active learning process is a challenge. The cost of additional labeling of records by the reviewer must be balanced against the cost of erroneous exclusions. This paper introduces the SAFE procedure, a practical and conservative set of stopping heuristics that offers a clear guideline for determining when to end the active learning process in screening software like ASReview. The eclectic mix of stopping heuristics helps to minimize the risk of missing relevant papers in the screening process. The proposed stopping heuristic balances the costs of continued screening with the risk of missing relevant records, providing a practical solution for reviewers to make informed decisions on when to stop screening. Although active learning can significantly enhance the quality and efficiency of screening, this method may be more applicable to certain types of datasets and problems. Ultimately, the decision to stop the active learning process depends on careful consideration of the trade-off between the costs of additional record labeling against the potential errors of the current model for the specific dataset and context. [ABSTRACT FROM AUTHOR]

The relationship between corporate sustainability and circular economy (CE) methods is presented in this paper through a systematic review and meta-analysis. The importance of resource and environmental sustainability from a commercial standpoint is covered in the first section of the article, which also emphasizes the increasing interest in the circular economy among researchers. To direct the analysis, a dynamic priority quadrant research framework is presented. Using a systematic literature review and meta-analysis methodology, the study conducts an extensive examination of excellent research pieces published between 2011 and 2020. The findings highlight important concepts that have been studied in the literature and investigate the variety of supply chain, organizational, and functional management tactics that practitioners have used to put the circular economy's tenets into practice. The study also examines how circular economy methods affect financial, social, and environmental performance metrics used in business sustainability assessments. The results provide insights into the possible advantages of switching to circular business models and management practices, and they also aid in the understanding of the relationship between CE strategies and firm performance. This study highlights the significance of sustainable business strategies based on CE principles and is in line with the research focus on the circular economy. [ABSTRACT FROM AUTHOR]

Four decades of research into the influences of time pressure on risky decisions have produced widely contrasting findings: 38.5% of the effects indicate that time pressure increases risk preferences, whereas 61.5% show the opposite. A theoretical framework with four conceptual categories of moderators is proposed to explain these heterogeneous findings: nature of the time constraint, negative outcome salience, negative outcome severity, and vulnerability to the outcomes. This framework is tested through a meta-analysis of 213 effect sizes reported in 83 papers, representing 65,574 unique respondents. The four categories of moderators effectively resolve notable conflicts. For example, regarding the nature of the time constraint, an absolute versus relative constraint increases risk preferences, but an ambiguous versus objective constraint decreases risk preferences. In terms of negative outcome salience, risk preferences decrease if the risk is learned about from a description (vs. experience) or the outcome is framed as a loss (vs. gain). Negative outcome severity also exerts an effect, as discrete choices lower risk preferences compared with attitudinal risk. In addition to managerial and public policy implications based on simulations, a comprehensive research agenda that builds on the robust insights of this meta-analysis is offered. [ABSTRACT FROM AUTHOR]

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were elaborated to allow authors of such papers to identify quality articles for inclusion in their scholarly work. However, we have identified several issues that point to an over-reliance on the PRISMA guidelines. Firstly, we question the rigor of implementation by authors and the rigor of verification by peer reviewers and editors, and whether they have screened papers to ensure adherence to the PRISMA guidelines. Secondly, we have identified cases where the PRISMA criteria led to as much as 99.97% of the published literature being ignored, suggesting that valid publications meeting these criteria might be at risk of being ignored. Thirdly, we have noted that exclusion is not only a quantitative problem—it is also a qualitative one, since the screening procedure groups all non-conforming literature into one basket. Fourthly, we have noted that seven copies of the PRISMA guidelines exist. This being the case, which one should be cited? To replace over-reliance on PRISMA screening, we encourage authors, peer reviewers, and editors to publish systematic reviews and meta-analyses that respect the dual criteria of scientific plausibility and diversity of included papers. [ABSTRACT FROM AUTHOR]

Sustainable development has received more attention in recent years due to growing ecological and environmental concerns. Thus, eco-innovation becomes a topic of increasing interest and generates a large amount of publications. This paper uses extensive data from Web of Science and Scopus to examine the evolution of eco-innovation research and also uses meta-analysis to delve deeper into the determinants. The findings reveal that (1) the number of publications has increased steadily over three stages—slow budding, steady development, and rapid growth—with an overall average growth rate of 16.0%; (2) increasing countries/regions are studying eco-innovation, primarily in developed countries, but the contribution from developing countries is also growing; (3) the most published journals are Journal of Cleaner Production, Sustainability, Business Strategy and the Environment, Technological Forecasting and Social Change, and Ecological Economics; (4) keyword analysis reveals determinants of eco-innovation is a long-term hot topic; (5) meta-analysis concludes that innovation capability and environmental regulations can significantly affect eco-innovation; and (6) high economic development level can effectively enhance eco-innovation by improving R&D, knowledge, and innovation capability. Compared to large firms, eco-innovation by small and medium-sized firms is more influenced by cooperation and government. This paper suggests the government should construct more financial institutions to relieve firms' investment pressures, as well as a property right protection mechanism and corresponding innovative knowledge reward. [ABSTRACT FROM AUTHOR]

Introduction Crimean-Congo hemorrhagic fever (CCHF) is the widest emerging severe viral tickborne disease affecting humans. Crimean-Congo haemorrhagic fever virus (CCHFV) circulates by routine enzootic tick-vertebrate hosts-tick transmission cycles. We aimed to evaluate the molecular prevalence of CCHFV in ticks on a global scale. Methods A systematic procedure was used to perform this review and meta-analysis using PubMed, Google Scholar, and Web of Science databases from 1 January 2000 through 12 April 2023. Of the 2310 papers identified, 43 articles met the inclusion criteria for this study. Results The overall prevalence of CCHFV was 4.0% (95%CI: 2.7--6.0%) in ticks on the global scale, with heterogeneity (I²=96.387; p=0.0001). The genus Hyalomma was shown as the most frequent tick infected with CCHFV 5.4% (95%CI: 3.3--8.7%). We found that the pooled prevalence of CCHFV was higher in Hyalomma aegyptium 27.6% (95%CI: 22.7--33.2%). The pooled prevalence was higher in Asia 5.1% (95%CI: 3.3--7.7%), and Spain 21.0% (95%CI: 3.4--66.9). The locations with annual rainfall of 401-1000 mm 6.1% (95%CI: 2.6--13.5%) and latitude of 31-40° 6.0% (95%CI: 4.1--8.9%) were associated with the greatest pooled prevalence of CCHFV in ticks. Conclusions Surveillance of CCHFV in ticks will give a better comprehension for the future implementation of public health interventions. The question of whether Hyalomma aegyptium is a plausible or certain vector should be the subject of further investigation. [ABSTRACT FROM AUTHOR]

Meenatchi, S.; Iburahim, S.A.; Nayak, B.B.; Rathinam, R.B.; Paul, T.N.; Seenivasan, P.; Ramteke, K.; Ramanan, S.S.; and Anantharaja, K., 2024. A meta-analysis of artemia global research over seven decades (1949–2021). Journal of Coastal Research, 40(2), 395–407. Charlotte (North Carolina), ISSN 0749-0208. Brine shrimp are little planktonic crustaceans found all over the world in hypersaline habitats. Brine shrimp populations are found in numerous inland salt lakes and coastal salterns across the world. Scientometrics is a branch of statistics concerned with measuring and analyzing scholarly publications. The current study used a Web of Science database to thoroughly analyze and document the Artemia research output over the last seven decades. For this study, 9738 papers were examined using R software to evaluate the scientific productivity in this specified topic area. The global publishing share, rank, and evolution in terms of research and bibliometric indices, such as total citations, h index, and average number of citations per paper, were analyzed. The United States ranks first among the most productive nations in terms of total publications, accounting for 18.895%. India came in sixth place, accounting for 5.812% of total publications. The findings of the current study revealed the trend of artemia-related research studies published between 1949 and 2021. This study also highlighted the focal areas on this issue, about which future topics of research can be chosen for conservation and sustainable utilization of these vital resources. [ABSTRACT FROM AUTHOR]

Effective ecological restoration requires empirical assessment to determine outcomes of projects, but conclusions regarding the effects of restoration treatments on the whole ecosystem remain rare. Control of invasive shrubs and trees in the genus Tamarix and associated riparian restoration in the American Southwest has been of interest to scientists and resource managers for decades; dozens of studies have reported highly variable outcomes of Tamarix control efforts, as measured by a range of response variables, temporal and spatial scales and monitoring strategies. We conducted a literature search and review, meta-analysis and vote count (comparison of numerical outcomes lacking reported variances and/or sample sizes) on published papers that quantitatively measured a variety of responses to control of Tamarix. From 96 publications obtained through a global search on terms related to Tamarix control, we found 52 publications suitable for a meta-analysis (n = 777 comparisons) and 63 publications suitable for two vote counts (n = 1,460 comparisons total; 622 comparisons reported as statistically significant) of response to Tamarix control. We estimated responses to control by treatment type (e.g. cut-stump treatment, burning, biocontrol) and ecosystem component (e.g. vegetation, fauna, fluvial processes). Finally, we compared results of the various synthesis methods to determine whether the increasingly stringent requirements for inclusion led to biased outcomes. Vegetation metrics, especially measures of Tamarix response, were the most commonly assessed. Ecosystem components other than vegetation, such as fauna, soils and hydrogeomorphic dynamics, were under-represented. The meta-analysis showed significantly positive responses by vegetation overall to biocontrol, herbicide and cut-stump treatments. This was primarily due to reduction of Tamarix cover; impacts on replacement vegetation were highly variable. We found concordance amongst our varied synthesis approaches, indicating that increased granularity from stricter quantitative techniques does not come at the cost of a biased sample. Overall, our results indicate that common control methods are generally effective for reducing Tamarix, but the indirect effects on other aspects of the ecosystem are variable and remain understudied. Given that this is a relatively well-studied invasive plant species, our results also illustrate the limitations of not only individual studies, but also of reviews for measuring the impact of invasive species control. We call on researchers to investigate the less commonly studied responses to Tamarix control and riparian restoration including the effects on fauna, soil and hydrogeomorphic characteristics. [ABSTRACT FROM AUTHOR]

Background: Estrogen receptors express in nearly 70% of breast cancers (ER-positive). Estrogen receptor alpha plays a fundamental role as a significant factor in breast cancer progression for the early selection of therapeutic approaches. Accordingly, there has been a surge of attention to non-invasive techniques, including circulating Cell-free DNA (ccfDNA) or Cell-Free DNA (cfDNA), to detect and track ESR1 genotype. Therefore, this study aimed to examine the diagnosis accuracy of ESR1 mutation detection by cell-free DNA in breast cancer patientsthrough a systematic review and comprehensive meta-analysis. Methods: PubMed, Embase, and Web of Science databases were searched up to 6 April 2022. Diagnostic studies on ESR1 measurement by cfDNA, which was confirmed using the tumour tissue biopsy, have been included in the study. The sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were considered to analyse the data. Results: Out of 649 papers, 13 papers with 15 cohorts, including 389 participants, entered the meta-analyses. The comprehensive meta-analysis indicated a high sensitivity (75.52, 95% CI 60.19–90.85), specificity (88.20, 95% CI 80.99–95.40), and high accuracy of 88.96 (95% CI 83.23–94.69) for plasma ESR1. We also found a moderate PPV of 56.94 (95% CI 41.70–72.18) but a high NPV of 88.53 (95% CI 82.61–94.44). We also found an NLR of 0.443 (95% CI 0.09–0.79) and PLR of 1.60 (95% CI 1.20–1.99). Conclusion: This systematic review and comprehensive meta-analysis reveal that plasma cfDNA testing exhibits high sensitivity and specificity in detecting ESR1 mutations in breast cancer patients. This suggests that the test could be a valuable diagnostic tool. It may serve as a dependable and non-invasive technique for identifying ESR1 mutations in breast cancer patients. However, more extensive research is needed to confirm its prognostic value. [ABSTRACT FROM AUTHOR]

Background: The diagnostic and prognostic clinical value of circulating tumor DNA (ctDNA) and cell-free DNA (cfDNA) in pancreatic malignancies are unclear. Herein, we aimed to perform a meta-analysis to evaluate ctDNA and cfDNA as potential diagnostic and prognostic biomarkers. Methods: PRISMA reporting guidelines were followed closely for conducting the current meta-analysis. The PubMed/Medline, Scopus, and Web of Science (WoS) databases were scanned in detail to identify eligible papers for the study. A quality assessment was performed in accordance with the REMARK criteria. The risk ratios (RRs) of the diagnostic accuracy of ctDNA compared to that of carbohydrate antigen 19.9 (CA 19.9) in all disease stages and the hazard ratios (HRs) of the prognostic role of ctDNA in overall survival (OS) were calculated with 95% confidence intervals (CIs). Results: A total of 18 papers were evaluated to assess the diagnostic accuracy and prognostic value of biomarkers related to pancreatic malignancies. The pooled analysis indicated that CA19.9 provides greater diagnostic accuracy across all disease stages than ctDNA or cfDNA (RR = 0.64, 95% CI: 0.50-0.82, p < 0.001). Additionally, in a secondary analysis focusing on prognosis, patients who were ctDNA-positive were found to have significantly worse OS (HR = 2.00, 95% CI: 1.51-2.66, p < 0.001). Conclusion: The findings of this meta-analysis demonstrated that CA19-9 still has greater diagnostic accuracy across all disease stages than KRAS mutations in ctDNA or cfDNA. Nonetheless, the presence of detectable levels of ctDNA was associated with worse patient outcomes regarding OS. There is a growing need for further research on this topic. [ABSTRACT FROM AUTHOR]

Objective: Executive dysfunction is a core symptom of vascular cognitive impairment (VCI), which seriously affects patients' prognosis. This paper aims to investigate the effectiveness of rTMS on executive function in VCI. Methods: The databases selected for this study included Pubmed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang, China Science and Technology Journal Database (VIP), and China Biology Medicine Disc (CBM). The screening times were conducted from the time of library construction until August 23, 2023. The inclusion criteria for this metaanalysis were randomized controlled trials (RCTs) on rTMS for VCI, which include executive function scores. The primary metrics were executive subscale scores of the Cognitive Comprehensive Scale and total scores of the Executive Specificity Scale. The secondary metrics were subscale scores of the Executive Specificity Scale. The quality of each eligible study was assessed using the Cochrane Risk of Bias tool. Meta-analysis and bias analysis were performed using Stata (version 16.0) and RevMan (version 5.3). Results: A total of 20 high-quality clinical RCTs with 1,049 samples were included in this paper. The findings from the primary outcomes revealed that within the rTMS group, there were significantly higher scores observed for the executive sub-item on the cognitive composite scale (SMD = 0.93, 95% CI = 0.77-1.08, p < 0.00001, I2 = 14%) and the total score on the executive specific scale (SMD = 0.69, 95% CI = 0.44-0.94, p < 0.00001, I2 = 0%) compared to the control group. As for the secondary outcome measures, as shown by the Trail Making Test-A (time) (MD = -35.75, 95% CI = -68.37 to -3.12, p = 0.03, I2 = 55%), the Stroop-C card (time) (SMD = -0.46, 95% CI = -0.86 to -0.06, p = 0.02, I2 = 0%) and the Stroop-C card (correct number) (SMD = 0.49, 95% CI = 0.04-0.94, p = 0.03, I2 = 0%), the experimental group shorts time and enhances accuracy of executive task in comparison to the control group. Subgroup analysis of the main outcome demonstrated that intermittent theta burst stimulation (iTBS), higher frequency, lower intensity, longer duration, and combined comprehensive therapy exhibited superior efficacy. Conclusion: rTMS is effective in the treatment of the executive function of VCI. The present study has some limitations, so multi-center, large-sample, objective indicators and parameters are needed to further explore in the future. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that includes deficits in social interaction, communication and behavior, whose exact cause remains unknown. Its symptoms, such as food selectivity, food refusal and resistance to new habits affect children´s ability to consume food. The aim of this study is to answer the following questions: Do children with ASD have a different nutritional and behavioral profile from neurotypical children? Are dietician interventions capable of bringing benefits in terms of improvements in behavior, communication and socialization status? The methodology used was a systematic review. The authors produced two guiding questions; defined keywords; researched for papers in databases; applied inclusion and exclusion criteria; and analyzed the data obtained from papers that answered the guiding questions. The results revealed 27 publications in the Pubmed, Lilacs, and Capes databases that included keywords cross-referenced between ASD and gluten free, eating behavior, casein-free, nutritional status, food selectivity, vitamin deficiency, nutritional strategy. An analysis of 16 papers in Pubmed, 6 papers in Lilacs and 5 papers in Capes showed that 33.3% of the works had been published in Brazil. Randomized clinical trials (RCT) and cross-sectional studies were the most used methodologies. The analysis concluded that non-nutritional interventions have been effective in modifying unsatisfactory behaviors. Also, a combination of dietary and social/behavioral interventions is effective in circumventing food selectivity, thereby improving food acceptance. [ABSTRACT FROM AUTHOR]

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Aim: To identify leadership factors for clinicians during in‐hospital cardiopulmonary resuscitation. Design: Systematic review with synthesis without meta‐analysis. Methods: The review was guided by SWiM, assessed for quality using CASP and reported with PRISMA. Data Sources: Cochrane, EMBASE, PubMed, Medline, Scopus and CINAHL (years of 2013–2023) and a manual reference list search of all included studies. Results: A total of 60 papers were identified with three major themes of useful resuscitation leadership; 'social skills', 'cognitive skills and behaviour' and 'leadership development skills' were identified. Main factors included delegating effectively, while being situationally aware of team members' ability and progress during resuscitation, and being empathetic and supportive, yet 'controlling the room' using a hands‐off style. Shared decision‐making to reduce cognitive load for one leader was shown to improve effective teamwork. Findings were limited by heterogeneity of studies and inconsistently applied tools to measure leadership. Conclusion: Traditional authoritarian leadership styles are not wanted by team members with preference for shared leadership and collaboration. Balancing this with the need for team members to see leaders in 'control of the room' brings new challenges for leaders and trainers of resuscitation. Implications for Nursing Profession: All clinicians need effective leadership skills for cardiopulmonary resuscitation in‐hospital. Nurses provide first response and ongoing leadership for cardiopulmonary resuscitation. Nurses typically display suitable skills that align with useful resuscitation leader factors. Impact: What were the main findings?: Collaboration rather than an authoritarian approach to leadership is preferred by team members. Nurses are suitable to 'control the room'. Restricting resuscitation team size will manage disruptive behaviour of team members. Trial Registration: PROSPERO Registration: CRD42022385630. Patient of Public Contribution: No patient of public contribution. [ABSTRACT FROM AUTHOR]

The current uses, potential risks, and practical recommendations for using chat generative pretrained transformers (ChatGPT) in systematic reviews (SRs) and meta-analyses (MAs) are reviewed in this article. The findings of prior research suggest that, for tasks such as literature screening and information extraction, ChatGPT can match or exceed the performance of human experts. However, for complex tasks such as risk of bias assessment, its performance remains significantly limited, underscoring the critical role of human expertise. The use of ChatGPT as an adjunct tool in SRs and MAs requires careful planning and the implementation of strict quality control and validation mechanisms to mitigate potential errors such as those arising from artificial intelligence (AI) 'hallucinations'. This paper also provides specific recommendations for optimizing human-AI collaboration in SRs and MAs. Assessing the specific context of each task and implementing the most appropriate strategies are critical when using ChatGPT in support of research goals. Furthermore, transparency regarding the use of ChatGPT in research reports is essential to maintaining research integrity. Close attention to ethical norms, including issues of privacy, bias, and fairness, is also imperative. Finally, from a human-centered perspective, this paper emphasizes the importance of researchers cultivating continuous self-iteration, prompt engineering skills, critical thinking, crossdisciplinary collaboration, and ethical awareness skills with the goals of: continuously optimizing human-AI collaboration models within reasonable and compliant norms, enhancing the complextask performance of AI tools such as ChatGPT, and, ultimately, achieving greater efficiency through technological innovative while upholding scientific rigor. [ABSTRACT FROM AUTHOR]