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An overwhelming number of meta-analyses and reviews are published by scientific journals. In part this may reflect some preference of editors and publishers for these types of papers, which are more frequently cited and can increase the impact factor of their journals. Meta-analyses and reviews are also attractive for investigators looking for a greater chance of having successful publications with several citations, and therefore an improved personal h-index. This greater 'promise of success' might have a deleterious effect on the intellectual maturation of investigators, particularly early career investigators, who might neglect original research and concentrate their efforts on meta-analyses and reviews. However, while meta-analyses and reviews are useful for emphasising data and disseminating concepts, progress in science requires original ideas, original experiments and original papers. 'Analysts' and 'novelists' are welcome, but 'scientists' are indispensable. [ABSTRACT FROM AUTHOR]

Software engineering is a socio-technical endeavor, and while many of our contributions focus on technical aspects, human stakeholders such as software developers are directly affected by and can benefit from our research and tool innovations. In this paper, we question how much of our research addresses human and social issues, and explore how much we study human and social aspects in our research designs. To answer these questions, we developed a socio-technical research framework to capture the main beneficiary of a research study (the who), the main type of research contribution produced (the what), and the research strategies used in the study (how we methodologically approach delivering relevant results given the who and what of our studies). We used this Who-What-How framework to analyze 151 papers from two well-cited publishing venues—the main technical track at the International Conference on Software Engineering, and the Empirical Software Engineering Journal by Springer—to assess how much this published research explicitly considers human aspects. We find that although a majority of these papers claim the contained research should benefit human stakeholders, most focus predominantly on technical contributions. Although our analysis is scoped to two venues, our results suggest a need for more diversification and triangulation of research strategies. In particular, there is a need for strategies that aim at a deeper understanding of human and social aspects of software development practice to balance the design and evaluation of technical innovations. We recommend that the framework should be used in the design of future studies in order to steer software engineering research towards explicitly including human and social concerns in their designs, and to improve the relevance of our research for human stakeholders. [ABSTRACT FROM AUTHOR]

An editorial is presented on topics relevant to review articles including importance, purpose, and prevalence of review papers, editorial board initiative for publication quality standards, and process and structure for systematic review methods. It expresses the view that review articles are evaluations of material that has already been published, reflect strategy-focused topics, and mentions replicability, usability, and format of research articles.

We examined the use of ecosystem service (ES) approaches at the landscape scale to assess two major ecological restoration programs (ERPs) in China. We found 68 papers highlighting four aspects: (1) most papers considered only one ES, and all ES categories were not covered equally; (2) regional-scale and short-term assessments dominated the reviewed papers, and few papers evaluated the impacts of ERPs on ESs at multiple spatial scales; (3) the majority of datasets were from global and national databases; and (4) 40% of studies used mostly proxy models and did not report model validation. Finally, we identify four needs: (1) for a deeper understanding of the interactions between multiple ESs; (2) to establish multiple temporal and spatial scales on ERP assessments including future scenarios and balanced efforts of ERP assessments over the entire territory; (3) to establish multiple data scales; and (4) to develop robust modeling approaches. [ABSTRACT FROM AUTHOR]

The strength of meta-analyses lies in the synthesis of data from multiple studies. Current guidelines require a thorough systematic search to maximize results, which usually includes searching multiple academic search systems (ASS). Google Scholar (GS) is considered a promising tool for searching the scientific literature. We aimed to determine whether GS is a valid and sufficient solitary data source for meta-analyses in the field of otolaryngology. Selected ENT-HNS journal was searched for meta-analyses published between 2010 and 2021 that adhered to the systematic reviews and meta-analyses guidelines and precisely followed the search algorithm. The latter was reproduced with GS, and the position of each enrolled study in each meta-analysis was determined. Ten meta-analyses were enrolled, the total number of search results ranged from 57 to 17,949. The number of GS search results was significantly greater than those of other ASS combinations (range 1,360–25,400, P =.006). The number of included papers for each meta-analysis ranged from 5 to 26. The position of all enrolled papers throughout GS searching was in the first 200 GS results in four of 10 meta-analyses. The reference lists of all included papers in the first 200 GS results identified 106 papers out of 108 (98%), while searching until the 500th GS output results identified 107 papers out of 108 papers (99%). GS can serve as a solitary ASS for systematic literature reviews and meta-analyses in the field of otolaryngology. Searching the first 500 or 200 results and including reference lists yields 99% and 98% coverage, respectively. [ABSTRACT FROM AUTHOR]

Background: Predictive policing and crime analytics with a spatiotemporal focus get increasing attention among a variety of scientific communities and are already being implemented as effective policing tools. The goal of this paper is to provide an overview and evaluation of the state of the art in spatial crime forecasting focusing on study design and technical aspects. Methods: We follow the PRISMA guidelines for reporting this systematic literature review and we analyse 32 papers from 2000 to 2018 that were selected from 786 papers that entered the screening phase and a total of 193 papers that went through the eligibility phase. The eligibility phase included several criteria that were grouped into: (a) the publication type, (b) relevance to research scope, and (c) study characteristics. Results: The most predominant type of forecasting inference is the hotspots (i.e. binary classification) method. Traditional machine learning methods were mostly used, but also kernel density estimation based approaches, and less frequently point process and deep learning approaches. The top measures of evaluation performance are the Prediction Accuracy, followed by the Prediction Accuracy Index, and the F1-Score. Finally, the most common validation approach was the train-test split while other approaches include the cross-validation, the leave one out, and the rolling horizon. Limitations: Current studies often lack a clear reporting of study experiments, feature engineering procedures, and are using inconsistent terminology to address similar problems. Conclusions: There is a remarkable growth in spatial crime forecasting studies as a result of interdisciplinary technical work done by scholars of various backgrounds. These studies address the societal need to understand and combat crime as well as the law enforcement interest in almost real-time prediction. Implications: Although we identified several opportunities and strengths there are also some weaknesses and threats for which we provide suggestions. Future studies should not neglect the juxtaposition of (existing) algorithms, of which the number is constantly increasing (we enlisted 66). To allow comparison and reproducibility of studies we outline the need for a protocol or standardization of spatial forecasting approaches and suggest the reporting of a study's key data items. [ABSTRACT FROM AUTHOR]

Background: Whilst up to 60% of males with fragile X syndrome (FXS) meet criteria for autism spectrum disorder (ASD), the prevalence and nature of ASD in females with FXS remains unclear. Method: A systematic literature search identified papers reporting ASD prevalence and/or symptomatology in females with FXS. Results and conclusion: Meta-analysis suggested that rates of ASD for females with FXS are reliably higher than for females in the general population (a random effects model estimated weighted average prevalence at 14%, 95% CI 13–18%). Whilst papers highlighted a number of social and repetitive difficulties for females with FXS, characteristic profiles of impairment are not clear. Possible associations between ASD traits and IQ, and between ASD and levels of fragile X mental retardation protein, are suggested, but data are equivocal. [ABSTRACT FROM AUTHOR]

This systematic review aims to give an overview of the diversity of research areas related to human biometeorology in Brazil. The main focus of this paper addresses research trends, represented by published papers with national and international authorship, main contributions and shortcomings, as well as challenges and prospects of research in this area of study. An extensive literature search was conducted in the Scopus, Web of Science, and Science Direct databases so as to identify relevant publication output up to July 2021 related to the research area. The screening resulted in 96 studies chosen for full-text reading. Overall, results indicated a reduced amount of articles on the subject matter published internationally, with noticeable gaps in research in some regions of the country, such as the Amazon region and in the Brazilian Midwest region. Research gaps in relevant areas have been identified with limited output in the climate dimensions of tourism, vector-borne diseases, mortality and morbidity in urban centers. Such gaps should further encourage researchers to engage in research focused on those areas. [ABSTRACT FROM AUTHOR]

Background: This study aims to examine to what extent sustainability has been incorporated into assessments of road infrastructure projects. It identifies promising approaches that include indicators reflecting core sustainability criteria, determines criteria that were insufficiently covered as indicators, and develops an integrated indicator set covering all criteria. Methods: A systematic review was performed to obtain all related papers/reports in two academic databases: Scopus and Web of Sciences. The indicators extracted from papers/reports were first coded, then evaluated by using quantitative and qualitative content analysis. Results: The project appraisal methods for decision-making is found to be a promising approach, covering more extensive criteria than others. Two criteria – namely adaptation and precaution and intergenerational equity – were hardly ever adopted as indicators. Ten main groups of indicators were extracted to construct an integrated set incorporating all core criteria. Conclusions: Some criteria appear to have become mainstream, while others deserve attention. The safest choice is to combine methods/tools or to adopt the integrated set developed for exhaustive criteria inclusion. [ABSTRACT FROM AUTHOR]

The systematic review (SR) is a methodology used to find and aggregate all relevant existing evidence about a specific research question of interest. One of the activities associated with the SR process is the selection of primary studies, which is a time consuming manual task. The quality of primary study selection impacts the overall quality of SR. The goal of this paper is to propose a strategy named 'Score Citation Automatic Selection' (SCAS), to automate part of the primary study selection activity. The SCAS strategy combines two different features, content and citation relationships between the studies, to make the selection activity as automated as possible. Aiming to evaluate the feasibility of our strategy, we conducted an exploratory case study to compare the accuracy of selecting primary studies manually and using the SCAS strategy. The case study shows that for three SRs published in the literature and previously conducted in a manual implementation, the average effort reduction was 58.2 % when applying the SCAS strategy to automate part of the initial selection of primary studies, and the percentage error was 12.98 %. Our case study provided confidence in our strategy, and suggested that it can reduce the effort required to select the primary studies without adversely affecting the overall results of SR. [ABSTRACT FROM AUTHOR]

In the meantime, a wide variety of terminologies, motivations, approaches, and evaluation criteria have been developed within the research field of explainable artificial intelligence (XAI). With the amount of XAI methods vastly growing, a taxonomy of methods is needed by researchers as well as practitioners: To grasp the breadth of the topic, compare methods, and to select the right XAI method based on traits required by a specific use-case context. Many taxonomies for XAI methods of varying level of detail and depth can be found in the literature. While they often have a different focus, they also exhibit many points of overlap. This paper unifies these efforts and provides a complete taxonomy of XAI methods with respect to notions present in the current state of research. In a structured literature analysis and meta-study, we identified and reviewed more than 50 of the most cited and current surveys on XAI methods, metrics, and method traits. After summarizing them in a survey of surveys, we merge terminologies and concepts of the articles into a unified structured taxonomy. Single concepts therein are illustrated by more than 50 diverse selected example methods in total, which we categorize accordingly. The taxonomy may serve both beginners, researchers, and practitioners as a reference and wide-ranging overview of XAI method traits and aspects. Hence, it provides foundations for targeted, use-case-oriented, and context-sensitive future research. [ABSTRACT FROM AUTHOR]

The optimal intermittent time for post-activation potentiation (PAP) training remains uncertain and contentious. This study employed a meta-analysis to systematically evaluate the effect of different intermittent times on PAP in relation to explosive vertical jump height. Relevant literature was sourced from CNKI, Wanfang, VIP, CBM, PubMed, Web of Science, and Google Scholar databases using keywords such as "postactivation potentiation," "activation enhancement effect," "PAP," "explosive vertical jump," "explosive vertical high jump," and "intermittent time." The search covered publications from the inception of each database until June 2024. Studies involving athletes (regardless of sport type) undergoing PAP training were included, with no restrictions on the methods used to induce PAP. Comparative analysis focused on the heights of countermovement jumps (CMJ) and peak ground reaction force (GRF) before and after interventions. The quality of the included studies was assessed using the Cochrane Risk of Bias Tool, and data were analyzed using RevMan5.3. The study included a total of 21 papers with 327 subjects, primarily using the squat as the method of PAP induction. The meta-analysis revealed that intermittent times of 4 min [MD = − 0.03, 95% CI: − 0.04 ~ − 0.01; Z = 2.71, P = 0.007] and 5–8 min [MD = − 0.03, 95% CI: − 0.04 ~ – 0.01; Z = 3.07, P = 0.002] significantly increased the height of explosive vertical CMJs. However, intermittent times of 1–3 min [MD = –0.00, 95% CI: − 0.01 ~ 0.01; Z = 0.38, P = 0.70] and 10–24 min [MD = − 0.01, 95% CI: − 0.02 ~ 0.00; Z = 1.43, P = 0.15] did not show significant effects on CMJ height. These findings indicate that 4-min and 5–8 min intervals significantly enhance CMJ height, while intervals shorter than 4 min or longer than 8 min do not have a significant impact. [ABSTRACT FROM AUTHOR]

Introduction: Although chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) predominantly affects large myelinated fibers, many patients have pain. The aim of this paper is to systematically review the current literature regarding CIDP with a particular focus on epidemiological and clinical characteristics of painful CIDP. Methods: A systematic literature search was conducted on PubMed database. Results: Our search strategy identified 146 articles. Thirty-eight papers, reporting on 991 patients, met the inclusion criteria and were used for this review. The pooled estimate of the prevalence of pain at any point within the course of CIDP was 46% (95% CI 36–57%). Immune treatment of CIDP might be adequate as monotherapy for the management of pain. Treatment specific to pain currently shows effectiveness as adjuvant treatment when CIDP is treated and pain persists. Conclusions: Pain in CIDP is an underexplored field. Future research should focus on the natural history, phenomenology, and management of pain in CIDP. [ABSTRACT FROM AUTHOR]

The design for manufacturing and assembly (DFMA) is a family of methods belonging to the design for X (DfX) category which goal is to optimize the manufacturing and assembly phase of products. DFMA methods have been developed at the beginning of the 1980s and widely used in both academia and industries since then. However, to the best of the authors' knowledge, no systematic literature reviews or mapping has been proposed yet in the field of mechanical design. The goal of this paper is to provide a systematic review of DFMA methods applied to mechanical and electro-mechanical products with the aim to collect, analyse, and summarize the knowledge acquired until today and identify future research areas. The paper provides an overview of the DFMA topic in the last four decades (i.e., from 1980 to 2021) emphasizing operational perspectives such as the design phase in which methods are used, the type of products analysed, the adoption of quantitative or qualitative metrics, the tool adopted for the assessment, and the technologies involved. As a result, the paper addresses several aspects associated with the DFMA and different outcomes retrieved by the literature review have been highlighted. The first one concerns the fact that most of the DFMA methods have been used to analyse simple products made of few components (i.e., easy to manage with a short lead-time). Another important result is the lack of valuable DFMA methods applicable at early design phases (i.e., conceptual design) when information is not detailed and presents more qualitative than quantitative data. Both results lead to the evidence that the definition of a general DFMA method and metric adaptable for every type of product and/or design phase is a challenging goal that presents several issues. Finally, a bibliographic map was developed as a suitable tool to visualize results and identify future research trends on this topic. From the bibliometric analysis, it has been shown that the overall interest in DFMA methodologies decreased in the last decade. [ABSTRACT FROM AUTHOR]

There is currently an increasing effort to develop visual analytics (VA) tools that can support human analytical reasoning and decision making. In the last decade, advances in this field has allowed the application of various kinds of VA systems in real-world settings. While this represents a promising start from a product design perspective, part of the challenge to the research community is that current VA tools have evolved without due consideration of standardized design criteria and processes. Accordingly, some questions remain to be addressed on what are the useful, underlying attributes of effective VA tools and how their impact can be measured in human-product interaction. These considerations indicate a need to identify a specific range of VA tools and assess their capabilities through state-of-the-art empirical analysis. To address these issues, we conducted a systematic review of 470 VA papers published between 2006 and 2012. We report on the bibliometric techniques, the evaluation attributes and the metrics that were used to sample and analyze the body of literature. The analysis focused mainly on 26 papers that implemented visual analytics decision support tools. The results are presented in the form of six inductively derived design recommendations that, when taken together, uniquely contribute to the fields of product design and visual analytics. [ABSTRACT FROM AUTHOR]

Background: The most effective injective treatment approach for sacroiliac joint (SIJ) pain remains unclear. Aim of this study was to quantify the safety and effectiveness of the available injective strategies to address SIJ pain. Methods: A systematic review and meta-analysis of the literature was conducted on PubMed, Scopus, and Embase databases from inception until January 2023. Inclusion criteria were studies written in English, comparative and non-comparative studies regardless of the minimum follow-up, and case series on SIJ injections. Safety and efficacy of the different injection therapies for the SIJ were quantified. A meta-analysis was conducted on the available data of the documented injective therapies. The "Checklist for Measuring Quality" by Downs and Black was used to assess the risk of bias and the quality of papers. Results: The literature search retrieved 43 papers (2431 patients): 16 retrospective case series, 2 retrospective comparative studies, 17 prospective case series, 3 prospective comparative studies, and 5 randomized controlled trials. Of the selected studies, 63% examined the effect of steroid injections, 16% of PRP injections, while 21% reported other heterogeneous treatments. The failure rate was 26% in steroid injections and 14% in PRP injections. The meta-analysis showed a statistically significant reduction in pain with the VAS score for both steroids and PRP: steroids improvement at mid-term 3.4 points (p < 0.05), at long-term 3.0 (p < 0.05), PRP improvement at mid-term 2.2 (p = 0.007), at long-term 2.3 points of the VAS pain scale (p = 0.02). Conclusions: Steroids are the most documented injective approach, with studies showing an overall safety and effectiveness. Still, the high number of failures underlined by some studies suggest the need for alternative procedures. Early PRP data showed promise, but the limitations of the current literature do not allow to clearly define the most suitable injective approach, and further studies are needed to identify the best injective treatment for SIJ patients. [ABSTRACT FROM AUTHOR]

Matrix metalloproteinases (MMPs) had a variety of subtypes, which may be related to tumor invasion and angiogenesis, and the polymorphisms from MMPs have been also associated with the susceptibility to a variety of tumors, including prostate cancer (PCa). However, previous studies have not systematically analyzed the association between MMP and prostate cancer, so we conducted systematic data collection and analyzed to evaluate the relationship among polymorphisms in MMPs and PCa susceptibility. We searched PubMed, Web of Science, Embase and Google Scholar for all papers published up to Apr 3rd, 2023, and systematically analyzed the relationship among MMP1-1607 2G/1G, MMP2-1306 T/C, MMP2-735 T/C, MMP7-181 G/A, MMP9-1562 T/C and PCa susceptibility using multiple comparative models and subgroup analyses. We found that MMP2-1306 T/C polymorphism showed associations with PCa susceptibility, with the Ethnicity subgroup (Asian) being more pronounced. Similarly, MMP9-1562 T/C has also had associations with PCa susceptibility. Our current study found that the polymorphisms of, MMP2-1306 T/C, and MMP9-1562 T/C had strong associations with PCa risk. [ABSTRACT FROM AUTHOR]

Background: Several reviews have examined the health benefits of participation in specific sports, such as baseball, cricket, cross-country skiing, cycling, downhill skiing, football, golf, judo, rugby, running and swimming. However, new primary studies on the topic have recently been published, and the respective meta-analytic evidence needs to be updated. Objectives: To systematically review, summarise and appraise evidence on physical health benefits of participation in different recreational sports. Methods: Searches for journal articles were conducted in PubMed/MEDLINE, Scopus, SpoLit, SPORTDiscus, Sports Medicine & Education Index and Web of Science. We included longitudinal and intervention studies investigating physical health outcomes associated with participation in a given sport among generally healthy adults without disability. Results: A total of 136 papers from 76 studies conducted among 2.6 million participants were included in the review. Our meta-analyses of available evidence found that: (1) cycling reduces the risk of coronary heart disease by 16% (pooled hazard ratio [HR] = 0.84; 95% confidence interval [CI]: 0.80, 0.89), all-cause mortality by 21% (HR = 0.79; 95% CI: 0.73, 0.84), cancer mortality by 10% (HR = 0.90; 95% CI: 0.85, 0.96) and cardiovascular mortality by 20% (HR = 0.80; 95% CI: 0.74, 0.86); (2) football has favourable effects on body composition, blood lipids, fasting blood glucose, blood pressure, cardiovascular function at rest, cardiorespiratory fitness and bone strength (p < 0.050); (3) handball has favourable effects on body composition and cardiorespiratory fitness (p < 0.050); (4) running reduces the risk of all-cause mortality by 23% (HR = 0.77; 95% CI: 0.70, 0.85), cancer mortality by 20% (HR = 0.80; 95% CI: 0.72, 0.89) and cardiovascular mortality by 27% (HR = 0.73; 95% CI: 0.57, 0.94) and improves body composition, cardiovascular function at rest and cardiorespiratory fitness (p < 0.010); and (5) swimming reduces the risk of all-cause mortality by 24% (HR = 0.76; 95% CI: 0.63, 0.92) and improves body composition and blood lipids (p < 0.010). Conclusions: A range of physical health benefits are associated with participation in recreational cycling, football, handball, running and swimming. More studies are needed to enable meta-analyses of health benefits of participation in other sports. PROSPERO registration number CRD42021234839. Key Points: We found a reduced risk of all-cause mortality associated with cycling (–21%), running (–23%) and swimming (–24%). Running also improves body composition, cardiovascular function at rest and cardiorespiratory fitness, while swimming also improves body composition and blood lipids. Football improves body composition, blood lipids, fasting blood glucose, blood pressure, cardiovascular function at rest, cardiorespiratory fitness and bone strength, while handball improves body composition and cardiorespiratory fitness. [ABSTRACT FROM AUTHOR]

Purpose: To identify the 100 top-cited meta-analyses of diagnostic accuracy studies published in radiology, medical imaging and nuclear medicine journals. Methods: A PubMed search with pre-defined criteria was performed. The 100 top-cited articles meta-analyses were retrieved, using a custom Python script and the Scopus Application Programming Interface (Elsevier). Publication, citation and affiliation details were extracted from each meta-analysis. No formal statistical analysis was performed. Results: The top meta-analysis was cited 394 times, the 100th meta-analysis 38 times. The USA was the top country represented in the papers (33 meta-analyses) followed by The Netherlands, China and Germany. The journal Radiology published 24 studies. The most common modality reported was positron emission tomography (PET) or PET computed tomography (36 instances), followed by magnetic resonance imaging (30 instances) and computed tomography (27 instances). Cardiac (19 meta-analyses), abdominal (18 meta-analyses), followed by neurological (12 meta-analyses) investigations were the most frequently encountered in the top 100 cited meta-analyses. Conclusions: The 100 top-cited meta-analyses encompass a broad range of imaging modalities and body regions. This may comprise a useful resource for identifying influential evidence-based diagnostic accuracy information in radiology. [ABSTRACT FROM AUTHOR]

Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are rendered useless if the data quality is bad. This systematic review aims to provide an introduction and guide for researchers who are interested in quality-related issues of physical sensor data. The process and results of the systematic review are presented which aims to answer the following research questions: what are the different types of physical sensor data errors, how to quantify or detect those errors, how to correct them and what domains are the solutions in. Out of 6970 literatures obtained from three databases (ACM Digital Library, IEEE Xplore and ScienceDirect) using the search string refined via topic modelling, 57 publications were selected and examined. Results show that the different types of sensor data errors addressed by those papers are mostly missing data and faults e.g. outliers, bias and drift. The most common solutions for error detection are based on principal component analysis (PCA) and artificial neural network (ANN) which accounts for about 40% of all error detection papers found in the study. Similarly, for fault correction, PCA and ANN are among the most common, along with Bayesian Networks. Missing values on the other hand, are mostly imputed using Association Rule Mining. Other techniques include hybrid solutions that combine several data science methods to detect and correct the errors. Through this systematic review, it is found that the methods proposed to solve physical sensor data errors cannot be directly compared due to the non-uniform evaluation process and the high use of non-publicly available datasets. Bayesian data analysis done on the 57 selected publications also suggests that publications using publicly available datasets for method evaluation have higher citation rates. [ABSTRACT FROM AUTHOR]

Introduction: In a context of increasing automation of road transport, many researchers have been dedicated to analyse the risks and safety implications of resuming the manual control of a vehicle after a period of automated driving. This paper performs a systematic review about drivers' performance during takeover manoeuvres in driving simulator, a tool that is widely used in the evaluation of automated systems to reproduce risky situations that would not be possible to test in real roads. Objectives: The main objectives are to provide a framework for the main strategies, experimental conditions and results obtained by takeover research using driving simulation, as well as to find whether different approaches may lead to different outcomes. Methodology: First, a literature search following the PRISMA statement guidelines and checklist resulted in 36 relevant papers, which were described in detail according to the type of scenarios and takeover events, drivers' engagement in secondary tasks and the assessed takeover performance measures. Then, those papers were included in a meta-analysis combining PAM clustering and ANOVA techniques to find patterns among the experimental conditions and to determine if those patterns have influence on the observed takeover performance. Conclusions: Less complex experiments without secondary task engagement and conducted in low-fidelity simulators are associated with lower takeover times and crash rates. The takeover time increases with the time budget of the first alert, which reduces the pressure for a driver's quick intervention. [ABSTRACT FROM AUTHOR]

Annually, lots of research papers are published in scientific journals around the world. The knowledge of the status of research is a prerequisite for research planning and policy making. This type of knowledge could be gained through a scientometrics study on the published literature that analyzes research products in a scientific field. Always healthcare was a permanent concern of researchers and also rapidly expanding field of Big Data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It leads attracting attention from academia, industry and even governments around the world to "Big data in Healthcare". Therefore, this paper has done a meta-analysis on published researches methodology in this field in the period of 2008-2018. Statistical finding shows the "Meta-analysis and evidence" is the most used methodology in published papers. We applied data mining techniques for predicting using methodologies in the various databases to achieving knowledge discovery in the field. Naïve Bayes classifier in RapidMiner has been applied and results show eight main categories for words used in papers while "Developing methods to evaluate of care" averagely is the most intended using methodology for publishing papers and "Agent-based modeling" in nature is most using methodology and could be better predicted. [ABSTRACT FROM AUTHOR]

Managing complex problems in socio-ecological systems (SES) requires innovative approaches, which account for multiple scales, large datasets, and diverse lived experiences. By combining two commonly utilized mixed-methods, public participation GIS (PPGIS) and Q-method (Q), Q + PPGIS has the potential to reveal competing agendas and reduce conflict, but its benefits and weaknesses are comparatively understudied. Using a systematic review, we evaluated how different studies have employed and implemented the Q + PPGIS method. We found 16 studies, comprising 30 publications, with considerable variation in their geographic foci, research disciplines, and addressed SES challenges. These studies exhibit a lack of cohesion between methodological design and implementation and the absence of a consistent application of the method. Nonetheless, Q + PPGIS offers a tool that can guide policy, better inform stakeholders, and reduce conflict based on misconceptions. Resolving the shortcomings identified here will broaden Q + PPGIS utility in geographically situating and representing multiple realities within complex socio-ecological systems challenges. [ABSTRACT FROM AUTHOR]

Background: The burden and disability associated with headaches are conceptualized and measured differently at patients' and populations' levels. At the patients' level, through patient-reported outcome measures (PROMs); at population level, through disability weights (DW) and years lived with a disability (YLDs) developed by the Global Burden of Disease Study (GBD). DW are 0–1 coefficients that address health loss and have been defined through lay descriptions. With this literature review, we aimed to provide a comprehensive analysis of disability in headache disorders, and to present a coefficient referring to patients' disability which might inform future GBD definitions of DW for headache disorders. Methods: We searched SCOPUS and PubMed for papers published between 2015 and 2023 addressing disability in headache disorders. The selected manuscript included a reference to headache frequency and at least one PROM. A meta-analytic approach was carried out to address relevant differences for the most commonly used PROMs (by headache type, tertiles of medication intake, tertiles of females' percentage in the sample, and age). We developed a 0–1 coefficient based on the MIDAS, on the HIT-6, and on MIDAS + HIT-6 which was intended to promote future DW iterations by the GBD consortium. Results: A total of 366 studies, 596 sub-samples, and more than 133,000 single patients were available, mostly referred to cases with migraine. Almost all PROMs showed the ability to differentiate disability severity across conditions and tertiles of medication intake. The indexes we developed can be used to inform future iterations of DW, in particular considering their ability to differentiate across age and tertiles of medication intake. Conclusions: Our review provides reference values for the most commonly used PROMS and a data-driven coefficient whose main added value is its ability to differentiate across tertiles of age and medication intake which underlie on one side the increased burden due to aging (it is likely connected to the increased impact of common comorbidities), and by the other side the increased burden due to medication consumption, which can be considered as a proxy for headache severity. Both elements should be considered when describing disability of headache disorders at population levels. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this systematic review was to assess the impact of time to surgery on patient mortality, peri-operative complication rates and length of stay following a hip fracture using level one data. Data Sources: Multiple databases (PubMed, Embase, Medline (Ovid), and Cochrane Library) were searched using terms for "hip fracture" and the intervention "early surgery". Results were filtered to only included randomised controlled trials in the English language published from the year 2000. Study Selection: All results were imported into Covidence and screened by two separate reviewers with conflicts resolved by a third reviewer. Studies were included if they reported data on the relationship between time to theatre and at least one of the outcome measures (mortality, peri-operative complications, and length of stay in hospital). Three papers were finalised to include in this review. Data Extraction: Once selected, each paper had a bias assessment completed by two separate reviewers using the Cochrane RoB2 tool. Any conflicts were resolved by a third reviewer. Data Synthesis: Data from each paper were inputted into RevMan5 for analysis. Approximated sample mean and standard deviation were collected from each paper and included for analysis. RevMan5 was then used to generate forest plots and report data on relative risk and mean difference. Conclusions: This review has shown that accelerated care of patients with hip fractures was associated with lower risks of delirium and infection, and a shorter length of hospital stay. However, the effect of time to surgery on patient mortality is not clear, as the standard care group had a lower mortality than expected for the population at risk and had surgery on average within 24-h of presentation. [ABSTRACT FROM AUTHOR]

Innovation and quality management are two fundamental business orientations that complement each other in improving performance and are important drivers of long-term economic growth. These themes have generated widespread attention in the literature; however, most of these studies mainly focused on a narrow area and only in a short term. No systematic effort has been made to build an extended bibliometric database regarding these research areas, which can be immediately used to conduct literature reviews. This study presents a complete (from 1975–2021), up-to-date, preprocessed and geocoded bibliometric database combining published articles of the two themes. The data collection was performed following the PRISMA methodology. The database consists of seven data tables, including one core dataset with 59,231 records and six citation network-related tables, including latitude and longitude values of the affiliations. These data will benefit researchers conducting comparative and in-depth analyses, such as gaining an overview of relevant existing studies, identifying relevant trends and gaining opportunities for a variety of geographic analyses. Measurement(s) Scientific Publication Technology Type(s) Systematic Review Sample Characteristic - Environment Innovation and Quality Management Sample Characteristic - Location Global [ABSTRACT FROM AUTHOR]

Several studies have demonstrated an association between the risk asthma/allergic rhinitis and the environment. However, to date, no systematic review or meta-analysis has investigated these factors. We conducted a systematic review and meta-analysis to assess the association between urban/rural living and the risk of asthma and allergic rhinitis. We searched the Embase and Medline databases for relevant articles and included only cohort studies to observe the effects of time-lapse geographical differences. Papers containing information on rural/urban residence and respiratory allergic diseases were eligible for inclusion. We calculated the relative risk (RR) and 95% confidence interval (CI) using a 2 × 2 contingency table and used random effects to pool data. Our database search yielded 8388 records, of which 14 studies involving 50,100,913 participants were finally included. The risk of asthma was higher in urban areas compared to rural areas (RR, 1.27; 95% CI, 1.12–1.44, p < 0.001), but not for the risk of allergic rhinitis (RR, 1.17; 95% CI, 0.87–1.59, p = 0.30). The risk of asthma in urban areas compared to rural areas was higher in the 0–6 years and 0–18 years age groups, with RRs of 1.21 (95% CI, 1.01–1.46, p = 0.04) and 1.35 (95% CI, 1.12–1.63, p = 0.002), respectively. However, there was no significant difference in the risk of asthma between urban and rural areas for children aged 0–2 years, with a RR of 3.10 (95% CI, 0.44–21.56, p = 0.25). Our study provides epidemiological evidence for an association between allergic respiratory diseases, especially asthma, and urban/rural living. Future research should focus on identifying the factors associated with asthma in children living in urban areas. The review was registered in PROSPERO (CRD42021249578). [ABSTRACT FROM AUTHOR]

The entry mode decision is a critical topic in international business. Several studies have tested the antecedents of entry mode choices and compared the outcomes after entry. However, the results reported in these studies are contradictory and difficult to explain. Furthermore, the reviews using qualitative approaches cannot statistically combine empirical results and fail to fully discuss these relationships. Additionally, the mediating effects remain unexamined in the existing studies. Drawing upon transaction cost economics and the resource-based view, this paper presents a meta-analysis that combines entry mode choices, antecedents and post-entry outcomes to address these issues. This meta-analysis is based on 1499 effect sizes from 230 published empirical studies. This study focuses on 15 antecedents as well as post-entry performance and survival of entry mode choices. In addition to bivariate relationships (i.e. how a single antecedent affects entry mode choices), the paper uses meta-analytic structural equation modelling to analyse the mediating effects of entry mode choices on the antecedent - outcome relationship. [ABSTRACT FROM AUTHOR]

Abundant research conducted in many countries has underlined the critical role of Science, Technology, Engineering, and Mathematics (STEM) in developing human capital in fields important to a nation's global competiveness and prosperity. In the Gulf Cooperation Council (GCC) States, recent long-term policy plans emphasize the ever-increasing need of transition to a knowledge-based economy and preparing highly qualified nationals with credentials in STEM fields to meet the current and future needs of the labor market. Yet, despite multiple educational reforms and substantial resources, national and international indicators of student performance still demonstrate insignificant improvement in GCC students' achievement in STEM subjects. Demonstrably, the GCC youth still lack interest in STEM careers and represent low enrollment rates in STEM fields. This paper presents the results of a systematic review conducted on STEM education research in GCC countries. The review seeks to contribute to the body of the existing STEM literature, explore the factors influencing student participation in STEM, and identify the gaps in STEM education research in those countries. [ABSTRACT FROM AUTHOR]

Background: When you make a forex transaction, you sell one currency and buy another. If the currency you buy increases against the currency you sell, you profit, and you do this through a broker as a retail trader on the internet using a platform known as meta trader. Only 2% of retail traders can successfully predict currency movement in the forex market, making it one of the most challenging tasks. Machine learning and its derivatives or hybrid models are becoming increasingly popular in market forecasting, which is a rapidly developing field. Objective: While the research community has looked into the methodologies used by researchers to forecast the forex market, there is still a need to look into how machine learning and artificial intelligence approaches have been used to predict the forex market and whether there are any areas that can be improved to allow for better predictions. Our objective is to give an overview of machine learning models and their application in the FX market. Method: This study provides a Systematic Literature Review (SLR) of machine learning algorithms for FX market forecasting. Our research looks at publications that were published between 2010 and 2021. A total of 60 papers are taken into consideration. We looked at them from two angles: I the design of the evaluation techniques, and (ii) a meta-analysis of the performance of machine learning models utilizing evaluation metrics thus far. Results: The results of the analysis suggest that the most commonly utilized assessment metrics are MAE, RMSE, MAPE, and MSE, with EURUSD being the most traded pair on the planet. LSTM and Artificial Neural Network are the most commonly used machine learning algorithms for FX market prediction. The findings also point to many unresolved concerns and difficulties that the scientific community should address in the future. Conclusion: Based on our findings, we believe that machine learning approaches in the area of currency prediction still have room for development. Researchers interested in creating more advanced strategies might use the open concerns raised in this work as input. [ABSTRACT FROM AUTHOR]

We conduct a meta-analysis of more than 30 papers that study the causal relationship between exporting and firm productivity. Our main result, robust to different specifications and to different weights for each observation, indicates that the impact of exporting upon productivity is higher for developing than developed economies. We also find that the export effect tends to be higher (1) in the first year that firms start exporting (compared to later years); and (2) when the sample used in the paper is not restricted to matched firms. Moreover, we find no evidence of publication bias. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to assess the role of radiologists, cardiologists, and other medical and non-medical figures in cardiac magnetic resonance imaging (MRI) research in the last 34 years, focusing on first and last authorship, number of published studies, and journal impact factors (IF). Methods: Articles in the field of cardiac MRI were considered in this systematic review and retrospective bibliometric analysis. For included studies, the first and last authors were categorized as cardiologists, radiologists/nuclear medicine physicians, medical doctors (MD) with specialties in both cardiology and radiology/nuclear medicine, and other MD and non-MD. Differences in the number of papers published overall and by year and institution location for the first and last author category were assessed. Mean IF differences between author categories were also investigated. Results: A total of 2053 articles were included in the final analysis. For the first authors (n = 2011), 52% were cardiologists, 22% radiologists/nuclear medicine physicians, 16% other MD, 10% other non-MD, and 1% both cardiologists and radiologists/nuclear medicine physicians. Similarly, the last authors (n = 2029) resulted 54% cardiologists, 22% radiologists/nuclear medicine physicians, 15% other MD, 8% other non-MD, and 2% both cardiologists and radiologists/nuclear medicine physicians. No significant differences due to institution location in the first and last authorship proportions were found. Average journal IF was significantly higher for cardiologist first and last authors when compared to that of radiologists/nuclear medicine physicians (both p < 0.0001). Conclusion: Over 50% of studies in the field of cardiac MRI published in the last 34 years are conducted by cardiologists. [ABSTRACT FROM AUTHOR]

This paper reports a systematic literature review by seeking to discuss research that explored the impact of networks on the entrepreneurial internationalization of international new ventures (INVs). A screening process resulted in a final sample of 73 papers published in 16 double-blind reviewed journals with the highest impact in the field from 1994 to 2015. This paper highlights the dominant connection between networking and the entrepreneurial internationalization and points out the acceleration role of the network. At the same time, it highlights a relevant gap in studies: still little is known and proven about the effective impact of ties on the entrepreneurial internationalization. In particular, we highlight some inconclusive or contradictory empirical results about the role of networks for INVs, and also an unclear understanding of their impact on specific target variables describing the early and fast growth in international markets. Hence, there is an open window for further research. Finally, this paper suggests promising directions for future investigation to develop particular research area. [ABSTRACT FROM AUTHOR]

It is now increasingly acknowledged that universities, despite their research capabilities and ownership of the new technical information they generate, are able to transform only a small minority of the patents they hold into innovations. In the transition from research outcome to innovation, information about the entrepreneurial opportunity is important because the outcomes of academic research are distant from the marketplace: as they have not been conceived with consideration of practical use but solely in a quest for understanding a scientific phenomenon. This underpins the rationale for our study into the information conditions regarding the entrepreneurial opportunity in the context of the prevailing property rights regime. In addressing this issue we adopt a theory-led realist synthesis approach to the conduct of a systematic literature review. Whilst we find empirical evidence supporting the conclusions of theoretical models, i.e. the strengthening role of technology transfer offices, we also point to their shortcomings. We go on to argue that significant gaps in our knowledge, and thus our ability to act, remain. In response, we advance an agenda for future research that focuses on the exploration of alternative policy actions (interventions) that draw from different paradigmatic lenses and methodological approaches. [ABSTRACT FROM AUTHOR]

Obesity is a global epidemic disease representing the fifth leading cause of death in the world. It was shown that it is caused by the interaction between environmental factors and genes including leptin gene (LEP). This paper aimed to analyze the association between the LEP gene polymorphisms rs7799039 and rs11761556 with obesity in Moroccan individuals as well as to perform an update meta-analysis of this genetic association. Both polymorphisms were genotyped in 146 obesity patients and 104 controls using real-time PCR technique. The genetic association analysis and the comparison of quantitative parameters were carried out using the R language. Moreover, a meta-analysis including 20 genetic association studies was performed using Review Manager 5.3 software. No significant association was found between the polymorphisms rs7799039 and rs11761556 and the risk of obesity. The comparison of biochemical and clinical parameters between the genotypes of the rs7799039 polymorphism, showed a significant increased triglycerides levels in carriers of AA or GA genotypes (P value = 0.040). The meta-analysis showed no significant association between the rs7799039 polymorphism and obesity under all genetic models. In conclusion, the case–control study and meta-analysis demonstrated that the LEP gene polymorphisms rs7799039 and rs11761556 cannot be considered as genetic risk factors for obesity. [ABSTRACT FROM AUTHOR]

Introduction: Preterm birth (<37 weeks) adversely affects development in behavioural, cognitive and mental health domains. Heightened rates of autism are identified in preterm populations, indicating that prematurity may confer an increased likelihood of adverse neurodevelopmental outcomes. The present meta-analysis aims to synthesise existing literature and calculate pooled prevalence estimates for rates of autism characteristics in preterm populations. Methods: Search terms were generated from inspection of relevant high-impact papers and a recent meta-analysis. Five databases were searched from database creation until December 2020 with PRISMA guidelines followed throughout. Results: 10,900 papers were retrieved, with 52 papers included in the final analyses, further classified by assessment method (screening tools N=30, diagnostic assessment N=29). Pooled prevalence estimates for autism in preterm samples was 20% when using screening tools and 6% when using diagnostic assessments. The odds of an autism diagnosis were 3.3 times higher in individuals born preterm than in the general population. Conclusions: The pooled prevalence estimate of autism characteristics in individuals born preterm is considerably higher than in the general population. Findings highlight the clinical need to provide further monitoring and support for individuals born preterm. [ABSTRACT FROM AUTHOR]

Ongoing demographic changes and global population ageing require organisations to pay special attention to their employment policies. With working life extension and age management increasingly included in discussions about reactive versus proactive personnel policies, the term 'generativity' gains special importance as an approach to managing a generationally diverse workforce. Generativity can be understood as an attitude of openness towards the younger generations that focuses on exchanging values, knowledge, and experiences with them. It is a source of positive emotions and better social relationships, personal fulfilment, good energy, and aliveness. In the paper, generativity is discussed in the framework of two theories: the socio-emotional selectivity theory (SST) and successful ageing theory (SOC). The aim of this paper is to assess the relationship between generativity and individual work outcomes. We considered both in-role and extra-role outcomes analysed in the job context. Meta-analysis is conducted of studies that investigate generativity and its relationships with motivational outcomes (job satisfaction, engagement, work motivation, affective commitment, self-efficacy), cognitive outcomes (attitudes toward retirement, career success, self-control), personal outcomes (wellbeing, health, job strain), relational outcomes and extra-role behaviours (organisational citizenship behaviour and sustainable behaviour). The analysis examines 65 independent samples that included 30,540 individuals, and considers the role of three moderators—the cultural context, the measurement method and age. It demonstrates that generativity has significant and positive motivational, cognitive and extra-role behaviour outcomes for workers and that it improves their well-being. [ABSTRACT FROM AUTHOR]

Objectives: Reference values for hand grip strength in Japanese community-dwelling elderly independent in activities of daily living (ADLs) were calculated by meta-analysis. Methods: Papers reporting data on hand grip strength in elderly Japanese adults ≥60 years of age and independent in ADLs were retrieved from electronic databases. Data were extracted from the selected papers and the weighted mean for hand grip strength by sex was calculated by random effect model. The association of hand grip strength with age and body weight was also analyzed using meta-regression analysis. Results: Data for 15,784 individuals (5216 men and 10,568 women; mean age 67.0-79.8 years) were extracted from 97 sets of data from 33 papers. The weighted mean for hand grip strength was calculated as 33.11 kg [95 % CI 32.27-33.96] in men and 20.92 kg [95 % CI 20.45-21.39] in women. A significant negative correlation was also seen between hand grip strength and age. Conclusions: The mean hand grip strength of elderly people calculated in this study can be used as a reference value for the hand grip strength of Japanese community-dwelling elderly who are independent in ADLs. However, age needs to be considered in reference values for hand grip strength. [ABSTRACT FROM AUTHOR]

Data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the use of big data analytics can also introduce many ethical concerns, stemming from, for example, the possible loss of privacy or the harming of a sub-category of the population via a classification algorithm. To help address these potential ethical challenges, this paper maps and describes the main ethical themes that were identified via systematic literature review. It then identifies a possible structure to integrate these themes within a data science project, thus helping to provide some structure in the on-going debate with respect to the possible ethical situations that can arise when using data science analytics. [ABSTRACT FROM AUTHOR]

Banking prudence and efficiency to manage their risks in different business cycle and environment would help to alleviate crises and losses. Hence, the effective assessment of credit risk is an essential component of a comprehensive technique to credit risk assessment and critical to the long-run of not only banking institutions but also the economy as a whole. Therefore, it has received a great interest from scholars across finance and economics to investigate such assessments by banks in different countries using diverse theoretical underpinnings and methodologies. Hence, this paper is developed to review analytical conceptualisations of credit risks assessments that have been developed in the academic literature. By means of a systematic review, it provides a comprehensive analysis that encompasses approaches used in research papers. There has been no prior review on analytical conceptualisations in this area. Moreover, this review is done in a systematic manner, i.e. categorising journal articles into different categories such as purposes, perspectives and methodologies through a transparent and thorough process. Thus, it will be able to provide an objective review. Finally, the paper will outline the evolution of methodologies and theoretical underpinnings in credit risk management research and a landscape for possible future research directions. [ABSTRACT FROM AUTHOR]

In this paper, the authors respond to a recent critique of their Journal of Business Ethics article, which provided a meta-analytic review of ethical climate theory research (Martin and Cullen, 2006). They review basic principles of meta-analytic research and discuss the methodological context of their work, which was not discussed in the recent reply article. Additional methodological and practical evidence is presented in support of Martin and Cullen (2006), including a discussion of the paper’s findings and its contribution to ethical climate theory and research. [ABSTRACT FROM AUTHOR]

The focus of this paper is to review the qualitative case methods that have been used in technology transfer research over the last 20 years from 1996 to 2015. Case methods allow for more in-depth analyses and provide the opportunity to place research into a certain context due to the selection of e.g. specific sectors, institutions, countries, etc. Using a systematic literature review of five of the top journals in the field of technology transfer research, namely Journal of Technology Transfer, Research Policy, Science and Public Policy, R&D Management and Technovation, it yielded 107 articles using the search terms: 'Technology Transfer' AND ('Case Study' OR 'Case Method' OR 'Qualitative'). Our findings indicate a clustering of themes using qualitative case methods around technology transfer mechanisms and TTOs, academic entrepreneurship, university-industry collaboration, commercialization as well as R&D and firm knowledge transfer. We also identify trends in case method technology transfer research with respect to authorship, location of papers, sectoral contexts, data collection, numbers of cases and data analysis software. We conclude our paper discussing the implications of trends and themes and suggest that researchers need to reflect on used terminology and their utilization and postulate a need for more plurality of data collection methods. [ABSTRACT FROM AUTHOR]

Computer technology has become an increasingly important tool for conducting eyewitness identifications. In the area of lineup identifications, computerized administration offers several advantages for researchers and law enforcement. PC_Eyewitness is designed specifically to administer lineups. To assess this new lineup technology, two studies were conducted in order to replicate the results of previous studies comparing simultaneous and sequential lineups. One hundred twenty university students participated in each experiment. Experiment 1 used traditional paper-and-pencil lineup administration methods to compare simultaneous to sequential lineups. Experiment 2 used PC_Eyewitness to administer simultaneous and sequential lineups. The results of these studies were compared to the meta-analytic results reported by N. Steblay, J. Dysart, S. Fulero, and R. C. L. Lindsay (2001). No differences were found between paper-and-pencil and PC_Eyewitness lineup administration methods. The core findings of the N. Steblay et al. (2001) meta-analysis were replicated by both administration procedures. These results show that computerized lineup administration using PC_Eyewitness is an effective means for gathering eyewitness identification data. [ABSTRACT FROM AUTHOR]

Introduction: Approximately 1000 children die each year due to preventable water and sanitation-related diarrheal diseases. Six in 10 people lacked access to safely managed sanitation facilities in 2015. Numerous community- and school-based approaches have been implemented to eradicate open defecation practices, promote latrine ownership, improve situation sanitation, and reduce waterborne disease. Objective: Given that current evidence for sanitation interventions seem promising, the aim of this study was to systematically summarize existing research on the effectiveness of community- and school-based randomized controlled sanitation intervention in improving (1) free open defecation (safe feces disposal), (2) latrine usage, (3) latrine coverage or access, and (4) improved latrine coverage or access. Methods: Eight electronic databases were searched: PubMed, Scopus, WHO Global Health Library (GHL), Virtual Health Library (VHL), POPLINE, Web of Science, Cochrane, and Google Scholar up to 26 April 2019. Original randomized clinical trials addressing community-based or school-based intervention that reported feces disposal and latrine coverage were deemed eligible. More than two researchers independently contributed to screening of papers, data extraction, and bias assessment. We conducted a meta-analysis by random-effects model. The risk of bias was assessed by the Cochrane risk of bias tool. Results: Eighteen papers that matched all criteria and 16 studies were included in the final meta-analysis. Compared to the control, the sanitation intervention significantly increased safe feces disposal (OR 2.19, 95% CI 1.51–3.19, p < 0.05, I2 = 97.28), latrine usage (OR 3.72, 95% CI 1.71–8.11, p < 0.05, I2 = 91.52), latrine coverage or access (OR 3.95, 95% CI 2.08–7.50, p < 0.05, I2 = 99.07), and improved latrine coverage or access (OR 3.68, 95% CI 1.52–8.91, p < 0.05, I2 = 99.11). A combination of education and latrine construction was more effective compared to educational intervention alone. Conclusion: Our study showed strong evidence for both community- and school-based sanitation interventions as effective for the safe disposal of human excreta. The finding suggests major implications for health policy and design of future intervention in developing countries. [ABSTRACT FROM AUTHOR]

Background: The effects of hypoxia conditioning, which involves recurrent exposure to hypoxia combined with exercise training, on improving body composition in the ageing population have not been extensively investigated. Objective: This meta-analysis aimed to determine if hypoxia conditioning, compared to similar training near sea level, maximizes body composition benefits in middle-aged and older adults. Methods: A literature search of PubMed, EMBASE, Web of Science, Scopus and CNKI (China National Knowledge Infrastructure) databases (up to 27th November 2022) was performed, including the reference lists of relevant papers. Three independent reviewers extracted study characteristics and health outcome measures. Search results were limited to original studies of the effects of hypoxia conditioning on body composition in middle-aged and older adults. Results: Twelve studies with a total of 335 participants were included. Hypoxia conditioning induced greater reductions in body mass index (MD = -0.92, 95%CI: -1.28 to -0.55, I2 = 0%, p < 0.00001) and body fat (SMD = -0.38, 95%CI: -0.68 to -0.07, I2 = 49%, p = 0.01) in middle-aged and older adults compared with normoxic conditioning. Hypoxia conditioning improved lean mass with this effect not being larger than equivalent normoxic interventions in either middle-aged or older adults (SMD = 0.07, 95%CI -0.12 to 0.25, I2 = 0%, p = 0.48). Subgroup analysis showed that exercise in moderate hypoxia (FiO2 > 15%) had larger effects than more severe hypoxia (FiO2 ≤ 15%) for improving body mass index in middle-aged and older adults. Hypoxia exposure of at least 60 min per session resulted in larger benefits for both body mass index and body fat. Conclusion: Hypoxia conditioning, compared to equivalent training in normoxia, induced greater body fat and body mass index improvements in middle-aged and older adults. Adding hypoxia exposure to exercise interventions is a viable therapeutic solution to effectively manage body composition in ageing population. Key Points: A meta-analysis was conducted to evaluate the effects of hypoxia conditioning on body composition in middle-aged and older adults. Compared to normoxic equivalent, hypoxia conditioning provides greater reductions in body fat and body mass index. However, the magnitude of improvement in lean mass was not greater in hypoxic than normoxic conditions. Hypoxia conditioning of at least 60 minutes per session in moderate hypoxia (FiO2 > 15%) is a promising intervention to improve body composition in middle-aged and older adults. [ABSTRACT FROM AUTHOR]

Introduction: The present study was performed to evaluate the pooled prevalence of the venous thromboembolism (VTE) and the factors affecting its incidence in patients who are affected with coronavirus disease (Covid-19). Patients and methods: A systematic review and meta-analysis were carried out by searching all the authentic online databases. The study includes papers worldwide since 2019 to 2022. After assessing related articles, the required information was collected based on a prepared checklist and analyzed by STATA software. Result: According to the estimates, pooled prevalence of VTE among patients with Covid-19 was 0.17 (95% CI = 0.13–0.22, P = 0.000). Analysis of prevalence values of VTE in patients with Covid-19 based on geographical areas showed statistically significant differences emerged from the study results. Analyses showed that stroke is a significant risk factor. Discussion: The present study showed a relatively high prevalence of VTE in patients infected with coronavirus. Results of study showed that prevalence of VTE is significantly differ according to geographical areas; it can be concluded that racial differences and genetic factors can affect the VTE incidence in Covid-19-affected patients. Additionally, a history of stroke and cerebrovascular events can be a risk factor indicating the need for prophylactic anticoagulant treatment in these patients, but history of respiratory disease, cardiovascular disease, hypertension, diabetes, dyslipidemia, liver disease, malignancy, and smoking is not risk factors of VTE in patients affected with Covid-19. [ABSTRACT FROM AUTHOR]

The aim of the present paper was to summarize the gene polymorphisms of beta-lactoglobulin (BLG) gene and its effects on milk yield in 1840 genotyped Indian dairy cows reported in 17 published studies. The meta-analysis was undertaken using gene frequencies of individual studies under random effects model, whereas for association analysis of genotypes with milk yield, standardized mean differences (SMDs) along with 95% confidence interval (CI) were obtained under four genetic models such as additive (AA vs. BB), dominant (AA+AB vs. BB), completely over dominant (AA+BB vs. AB) and recessive (AA vs. AB+BB). The heterogeneity index (I2) was used to determine heterogeneity between studies. The results of meta-analysis suggested that the pooled allelic frequency of allele A was subsidiary as 0.29 (95% CI 0.24, 0.33, I2 = 88.54%) in targeted population, and also, it was non-significantly (P > 0.05) different between Bos indicus (0.28) and Bos taurus/cross cows (0.30). Egger's test indicated no risk of publication bias (P > 0.05). The results also revealed that BLG gene variants have non-significant (P > 0.05) association with milk yield under all genetic models. Although positive effects of SMDs under some models were observed, however, they failed to meet statistical significance (P > 0.05) due to high heterogeneity between studies which lead to conclusion of only uncertain influences of SNP genotypes with milk yield. It was concluded that BLG markers may not be beneficial for improving milk yield in Indian dairy cows. However, it is suggested that the revalidation of the present results should be done by using more number of studies. [ABSTRACT FROM AUTHOR]

This paper presents a critical review of literature investigating assessment of mathematical modelling. Written tests, projects, hands-on tests, portfolio and contests are modes of modelling assessment identified in this study. The written tests found in the reviewed papers draw on an atomistic view on modelling competencies, whereas projects are described to assess a more holistic modelling competence but obstacles regarding reliability of assessing projects are identified. The outcome of this investigation also indicates that the criteria used in frameworks or modes of assessment seldom are derived from a theoretical analysis, but more often based on ad hoc constructions, experience from assessment situations or empirical studies of students' work. Finally, this study suggests that an elaborated view on the meaning of quality of mathematical models is needed in order to assess the quality of students' work with mathematical models. [ABSTRACT FROM AUTHOR]

The agro-food system needs a genuine sustainability transition to achieve sustainable food and nutrition security in the face of climate change, population growth, ecosystem degradation and increasing resource scarcity. Agro-food sustainability transitions refer to transformation processes needed to move towards sustainable agriculture and food systems. There is a broad range of theoretical and conceptual frameworks that have been used to understand and promote transition towards sustainability. These include the multi-level perspective (MLP) on socio-technical transitions, transition management (TM), strategic niche management (SNM), technological innovation system (TIS) and social practice approach (SPA). The paper analyses the use of these heuristic frameworks in research on agro-food sustainability transitions. A search carried out in March 2018 on Scopus yielded 791 documents, and 127 research articles underwent a systematic review. Results show that more than three-fifths of research papers dealing with sustainability transitions in agriculture, food processing, distribution and consumption use at least one of the five heuristic frameworks (MLP, TM, SNM, TIS and SPA). The MLP is the most prominent framework in research on agro-food sustainability transitions, followed by TM, SPA, SNM and then TIS. Nevertheless, MLP is increasingly complemented with frameworks that focus on human-related and social factors (SPA), management and governance (TM, SNM) or agency and interactions between actors (TIS) in sustainability transitions processes. Therefore, the paper makes the case for more integration of transition frameworks in order to better nurture and foster transitions towards sustainable agro-food systems. [ABSTRACT FROM AUTHOR]