Systematic Tool Research Articles

Energy Transition Policy of the Mexican Electricity Sector: A Representation in Terms of the Theory of Change

Energy transition in the electricity sector is central to limiting global warming to 1.5 °C. Countries around the world rely on official planning documents, such as strategies, special programs, and action plans, to guide these efforts. However, there are few systematic approaches and tools that can help policy makers determine comprehensiveness, coherence, consistency, and coordination when designing these planning documents. This represents a risk to meet energy transition and climate change goals if the relationships of policies and actions included in these documents are not addressed properly. To this end, this paper proposes an approach to model hierarchical relationships using the theory of change, while causal relationships are allocated using policy makers’ experience (yet can also be exogenously allocated using other models). As a case study, this work investigates Mexico’s energy transition policy of the electricity sector over the 2013–2018 period. The results show that Mexico’s official planning documents lack a good design since most policies and actions are not articulated in the right sequence and privilege clean centralized and distributed generation and energy efficiency, while others related to the modernization of electrical grids and climate and environmental policies are barely included.

Highlighting the Urgent Need for Reforms in the Face of Financial Failures at State-Owned Enterprises in Iraq

General Background: The financial analysis of companies' reports is critical for assessing their past performance, forecasting future results, and identifying operational strengths and weaknesses. Specific Background: Financial failure, which occurs when a company cannot generate adequate returns to cover costs and capital expenses, poses significant risks to stakeholders. For state-owned companies, the implications of financial failure are especially profound, given their integral role in national economies, such as Iraq's. Knowledge Gap: There is limited understanding of the extent to which state-owned companies in Iraq utilize financial analysis to predict financial failure, particularly in the context of economic transitions and privatization pressures. Aims: This study aims to evaluate the dependence of Iraqi state-owned companies on financial analysis as a predictive tool for financial distress and to identify the key factors contributing to their financial failures. Results: The research reveals that 42% of the companies examined have experienced financial failure, as measured by the Argenti index. Contributing factors include employment challenges, insufficient financing, and the transition from a socialist to a capitalist economy, which has left companies vulnerable to privatization. Novelty: The study provides novel insights into how economic transition impacts the financial stability of state-owned companies, highlighting the practical application of the Argenti index in diagnosing financial weaknesses. Implications: The findings underscore the urgent need to support state-owned enterprises by revitalizing the industrial sector, improving administrative efficiency, and adopting more systematic financial analysis tools. Additionally, the research recommends creating an accessible information center for investors and creditors, which would enhance transparency and support decision-making. This approach could help mitigate financial distress and attract new investment, ultimately contributing to Iraq’s economic recovery. Highlights: Financial analysis helps predict failures in state-owned companies. 42% of companies fail, based on the Argenti index. Privatization and economic shifts increase financial risk. Keywords: Financial analysis, Argenti index, state-owned companies, financial failure, privatization

ELEPHANT : ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients

Transient astronomical events that exhibit no discernible association with a host galaxy are commonly referred to as hostless. These rare phenomena can offer unique insights into the properties and evolution of stars and galaxies. However, the sheer number of transients captured by contemporary high-cadence astronomical surveys renders the manual identification of all potential hostless transients impractical. Therefore, creating a systematic identification tool is crucial for studying these elusive events. We present the ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients ( a framework for filtering hostless transients in astronomical data streams. It was designed to process alerts from the Zwicky Transient Facility (ZTF) presented in the Fink broker; however, its underlying concept can be applied to other data sources. We used Fink to access all the ZTF alerts produced between January 2022 and December 2023, selecting alerts associated with extragalactic transients reported in SIMBAD or TNS, as well as those classified as supernovae (SNe) or kilonovae (KNe) by the machine learning (ML) classifiers within the broker. We then processed the associated stamps using a sequence of image analysis techniques to retrieve hostless candidates. We find that lesssim 2<!PCT!> of all analyzed transients are potentially hostless. Among them, only sim 10<!PCT!> have a spectroscopic class reported on TNS, with type Ia SNe being the most common class, followed by superluminous SNe. In particular, among the hostless candidates retrieved by our pipeline, there is SN 2018ibb, which has been proposed to be a pair instability SN candidate, and SN 2022ann, one of only five known SNe Icn. When no class is reported on TNS, the dominant classes are quasi-stellar object (QSO) and SN candidates, with the former obtained from SIMBAD and the latter inferred using the Fink ML classifier. represents an effective strategy to filter extragalactic events within large and complex astronomical alert streams. There are many applications for which this pipeline will be useful, ranging from transient selection for follow-up to studies of transient environments. The results presented here demonstrate the feasibility of developing specially crafted pipelines that enable a variety of scientific studies based on large-scale surveys.

Capitalizing on Dementia Care Mapping in an Evaluation of a Montessori-Based Intervention for Individuals Living with Dementia.

Montessori-based interventions (MBIs) promote quality of life among older adults living with dementia. We used Dementia Care Mapping (DCM) to evaluate the impact of a small-scale MBI. DCM is a systematic observation tool that records the behavior and mood/engagement of individuals living with dementia and can be used to improve quality of care and well-being. Pre- and post-intervention data from 15 care community residents compared: 1) residents' range and types of behaviors, 2) their mood/engagement and 3) staff behaviors that facilitated and impeded residents' personhood. In this mixed-methods study, deductive qualitative content analysis of DCM field notes further explored staff behaviors. Post-intervention, a significantly higher proportion of residents' behaviors had the potential to promote their well-being, although there was little change in mood/engagement while engaging in those behaviors. Post-intervention, there was also a significant increase in staff behaviors that facilitated, and a decrease in staff behaviors that impeded, residents' personhood. Further, post-intervention, staff interactions with residents were more open-ended and inclusive. Although some staff behaviors still excluded residents, the exclusion was more benign than pre-intervention. DCM documented incremental changes toward person-centered care, and DCM field notes provided insight into missed opportunities for effective staff interactions with residents. Taken together, findings provide additional support for the use of MBIs and highlights the usefulness of DCM, especially its associated field notes, to help researchers and practitioners create environments that promote the personhood that individuals living with dementia deserve.

Characterising umbrella reviews in paediatrics: A systematic analysis.

To characterise typical practices in conducting and reporting umbrella reviews in paediatrics. PubMed database was searched for umbrella reviews focusing on children (0-18 years) published from 1 January 2020 to 15 June 2024, regardless of the speciality. The included studies were assessed for reporting practices, result summarisation and critical appraisal methods. Ninety-nine eligible umbrella reviews were included, of which 49 focused on interventions and 50 focused on epidemiology. The median number of included reviews in the umbrella reviews was 18 (range = 3-302), and statistical synthesis was performed in 32 studies. The most frequently used tool for critical appraisal of the included reviews was the updated Assessing the Methodological Quality of Systematic Reviews (AMSTAR-2) tool (n = 56); the original AMSTAR-1 tool was used in seven reviews, and the Risk of Bias in Systematic Reviews tool was used in 12 reviews. Evidence certainty was assessed using the Grading of Recommendations Assessment, Development and Evaluation framework in 14 reviews and by the Ioannidis criteria in 18 reviews. Umbrella reviews have heterogeneous characteristics in terms of reporting practices. Greater adherence to guidelines on conducting and reporting umbrella reviews is needed, particularly for improving critical appraisal methods.

Relationship between temporomandibular and sleep disorders in adults: An overview of systematic reviews

ObjectiveThis study emphasizes the general relevance of sleep disorders (SD) and temporomandibular disorders (TMD), explores their bidirectional relationship, and describes the importance of systematic reviews in the critical analysis of the literature. This review aimed to comprehensively summarize the relationship between SD and TMD in adults while ensuring a reliable and objective analysis of data from the existing literature. MethodsSystematic reviews were evaluated to investigate this association between two conditions in adults. The study was registered with Prospero and followed the PECOT structure in identifying the research question. Searches in multiple databases were conducted until February 2024 using relevant keywords. The risk of bias was assessed using the Risk of Bias in Systematic Reviews tool, involving two independent reviewers. ResultsData were extracted using different evaluation instruments, and results were analyzed and presented through the synthesis of information collected in selected systematic reviews. The selection included seven systematic reviews of observational studies, with exclusion criteria defined to ensure methodological quality. The results showed that reviewed studies presented clarity and relevance in defining the eligibility criteria, but that the identification and selection of studies, data collection, and synthesis of results varied. Most studies considered the potential risks, but some require greater transparency and methodological rigor. ConclusionsThis review points out the association between SD and TMD in adults, with most studies presenting a low risk of bias, although some uncertainties were observed.

Diagnostic accuracy of point-of-care tests for acute respiratory infection: a systematic review of reviews.

Acute respiratory infections are a common reason for consultation with primary and emergency healthcare services. Identifying individuals with a bacterial infection is crucial to ensure appropriate treatment. However, it is also important to avoid overprescription of antibiotics, to prevent unnecessary side effects and antimicrobial resistance. We conducted a systematic review to summarise evidence on the diagnostic accuracy of symptoms, signs and point-of-care tests to diagnose bacterial respiratory tract infection in adults, and to diagnose two common respiratory viruses, influenza and respiratory syncytial virus. The primary approach was an overview of existing systematic reviews. We conducted literature searches (22 May 2023) to identify systematic reviews of the diagnostic accuracy of point-of-care tests. Where multiple reviews were identified, we selected the most recent and comprehensive review, with the greatest overlap in scope with our review question. Methodological quality was assessed using the Risk of Bias in Systematic Reviews tool. Summary estimates of diagnostic accuracy (sensitivity, specificity or area under the curve) were extracted. Where no systematic review was identified, we searched for primary studies. We extracted sufficient data to construct a 2 × 2 table of diagnostic accuracy, to calculate sensitivity and specificity. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies version 2 tool. Where possible, meta-analyses were conducted. We used GRADE to assess the certainty of the evidence from existing reviews and new analyses. We identified 23 reviews which addressed our review question; 6 were selected as the most comprehensive and similar in scope to our review protocol. These systematic reviews considered the following tests for bacterial respiratory infection: individual symptoms and signs; combinations of symptoms and signs (in clinical prediction models); clinical prediction models incorporating C-reactive protein; and biological markers related to infection (including C-reactive protein, procalcitonin and others). We also identified systematic reviews that reported the accuracy of specific tests for influenza and respiratory syncytial virus. No reviews were found that assessed the diagnostic accuracy of white cell count for bacterial respiratory infection, or multiplex tests for influenza and respiratory syncytial virus. We therefore conducted searches for primary studies, and carried out meta-analyses for these index tests. Overall, we found that symptoms and signs have poor diagnostic accuracy for bacterial respiratory infection (sensitivity ranging from 9.6% to 89.1%; specificity ranging from 13.4% to 95%). Accuracy of biomarkers was slightly better, particularly when combinations of biomarkers were used (sensitivity 80-90%, specificity 82-93%). The sensitivity and specificity for influenza or respiratory syncytial virus varied considerably across the different types of tests. Tests involving nucleic acid amplification techniques (either single pathogen or multiplex tests) had the highest diagnostic accuracy for influenza (sensitivity 91-99.8%, specificity 96.8-99.4%). Most of the evidence was considered low or very low certainty when assessed with GRADE, due to imprecision in effect estimates, the potential for bias and the inclusion of participants outside the scope of this review (children, or people in hospital). Currently evidence is insufficient to support routine use of point-of-care tests in primary and emergency care. Further work must establish whether the introduction of point-of-care tests adds value, or simply increases healthcare costs. This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR159948.

Desafios e perspectivas na judicialização da saúde na América Latina: considerações sobre o fenômeno no Brasil e na Colômbia

Objective: The present study aims to understand how the judicialization of health develops as a global phenomenon, with particular emphasis on Latin American contexts, considering Brazil, and Colombia. Methodology: A literature review methodology supported by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses tool was adopted. The research was conducted using specific descriptors, and search strategies were carried out in the PubMed, MEDLINE, Lilacs, SciELO, CRD, CDSR, BVS, and BIREME databases. Articles published between 2010 and 2024 that discuss the judicialization of health, considering Portuguese, Spanish, or English languages, were selected. Results: The search resulted in 455 articles, of which 18 met the inclusion criteria. The analysis of the selected articles reveals the need for balanced solutions that respect individual rights without compromising the accessibility and quality of collective healthcare. The challenges imposed by judicialization are highlighted, such as issues of equity, financial sustainability of health systems, and resource prioritization. Conclusion: It concludes by emphasizing the importance of a multidisciplinary approach involving legislative adjustments, improvements in health system management, health education, and the promotion of equitable public policies. Submission: 05/29/24| Review: 08/16/24| Approval: 08/16/24

Evidence-Based Critical Assessment of the Success Rate of Dental Implants in Smokers: An Umbrella Systematic Review.

The aim of this umbrella systematic review is to evaluate the success rate and osseointegration of dental implants in patients with a smoking habit. Electronic database searches of PubMed/Medline, Google Scholar, ScienceDirect, Cochrane Library, and EBSCOhost were done from 2006 until August 2024, using medical subject headings (MeSH) terms. Systematic reviews and meta-analyses (SRMAs) investigating the association between smoking and the rate of success of dental implants based on dental implant failure, marginal bone loss, survival, and peri-implant parameters were deemed eligible. The Assessment of Multiple Systematic Reviews Tool 2 (AMSTAR 2) was used to assess the quality of the included SRMAs. Seventeen systematic reviews have been included. In the reviews, 10 studies included meta-analyses (MAs) that evaluated implant failure rate and marginal bone loss. According to the AMSTAR 2 checklist, one review was scored "high," seven reviews were scored "moderate," seven reviews were scored "low," and two reviews were scored "critically low" quality. The strength of evidence suggests a low level of success and high rate of failure of osseointegration of dental implants in smokers. However, the influence of smoking on the rate of dental implant failure seems to be associated with various factors such as peri-implant inflammatory markers, post-operative infections, etc. Inherently, the conclusion of this review is based on a limited number of systematic reviews.

A comprehensive literature review and bibliometric analysis on shape grammar theory and applications in architecture

Shape Grammar is a systematic tool used in the logical argumentive method in research for interpreting spatial design and activities. Shape grammar applies a group of shape rules in stages to create a set or a language of design. Researchers worldwide have used this method in various fields including architecture, arts, graphical design, and pattern recognition. Even in the case of architecture, researchers worldwide have implemented the shape grammar method to analyze patterns in various architectural fields. This study analyzed publication trends in the shape grammar domain using “Bibliometrix”, an open-source tool that uses the R package. Research papers from the Web of Science and Scopus (WoS) database were identified and assessed in terms of annual publication trends, contributions of various authors, countries, citation counts of authors, universities, popular keywords, journal trends, etc. A comprehensive literature review of all relevant research papers available in the WoS and Scopus academic databases on shape grammar and its application in architecture was also conducted as part of this study. The research paper concludes with the possible research opportunities in the domain of shape grammar.

Teacher collaborative inquiry into practice in school-based learning communities: The role of activity type

This study contributes to growing scholarly interest in teacher-led, school-based learning communities and the characteristics of teacher dialogue and social interaction that support professional learning in these settings. Based on existing conceptual distinctions proposed in the literature, we term this type of teacher dialogue “collaborative inquiry into practice” (CLIP) and propose a systematic and reliable tool to measure it. We then employ a quantitative, comparative research design to study how different teacher team activities (i.e., video-analysis, peer consultations, and pedagogical planning) shape the extent to which teachers engage in CLIP. Fifty-four transcribed teacher meeting excerpts were analyzed with the CLIP coding scheme, assessing different aspects of inquiry-based reasoning, participation, and content. Quantitative comparisons and illustrative examples show that CLIP was lowest during peer consultations, in part because teachers were often not positioned as agents of change in such conversations. Pedagogical planning activities featured more instances of inquiry into each other's ideas. Contrary to common assumptions, collaborative video analysis activities were not characterized by increased attention to student thinking or inquiry orientation. Our findings provide new insights into teacher-led, collaborative learning in on-the-job settings, as well as practical implications for the design of school-based professional learning communities.

Initial assessment and management of adults with suspected acute respiratory infection: a rapid evidence synthesis of reviews and cost-effectiveness studies.

This work was undertaken to inform a National Institute for Health and Care Excellence guideline on the initial assessment of adults with suspected acute respiratory infection. To undertake a rapid evidence synthesis of systematic reviews and cost-effectiveness studies of signs, symptoms and early warning scores for the initial assessment of adults with suspected acute respiratory infection. MEDLINE, EMBASE and Cochrane Database of Systematic Reviews were searched for systematic reviews and MEDLINE, EMBASE, EconLit and National Health Service Economic Evaluation Database were searched for cost-effectiveness studies in May 2023. References of relevant studies were checked. Clinical outcomes of interest included escalation of care, antibiotic/antiviral use, time to resolution of symptoms, mortality and health-related quality of life. Risk of bias was assessed using the Risk of Bias in Systematic Reviews tool or the National Institute for Health and Care Excellence economic evaluations checklist. Results were summarised using narrative synthesis. Nine systematic reviews and one cost-effectiveness study met eligibility criteria. Seven reviews assessed several early warning scores for patients with community- acquired pneumonia, one assessed early warning scores for nursing home-acquired pneumonia and one assessed individual signs/symptoms and the Centor score for patients with sore throat symptoms; all in face-to-face settings. Two good-quality reviews concluded that further research is needed to validate the CRB-65 in primary care/community settings. One also concluded that further research is needed on the Pneumonia Severity Index in community settings; however, the Pneumonia Severity Index requires data from tests not routinely conducted in community settings. One good-quality review concluded that National Early Warning Score appears to be useful in an emergency department/acute medical setting. One review (unclear quality) concluded that the Pneumonia Severity Index and CURB-65 appear useful in an emergency department setting. Two poor-quality reviews concluded that early warning scores can support clinical judgement and one poor-quality review found numerous problems with using early warning scores in a nursing home setting. A good-quality review concluded that individual signs and symptoms have a modest ability to diagnose streptococcal pharyngitis, and that the Centor score can enhance appropriate prescribing of antibiotics. The cost-effectiveness study assessed clinical scores and rapid antigen detection tests for sore throat, compared to delayed antibiotic prescribing. The study concluded that the clinical score is a cost-effective approach when compared to delayed prescribing and rapid antigen testing. Several early warning scores have been evaluated in adults with suspected acute respiratory infection, mainly the CRB-65, CURB-65 and Pneumonia Severity Index in patients with community-acquired pneumonia. The evidence was insufficient to determine what triage strategies avoid serious illness. Some early warning scores (CURB-65, Pneumonia Severity Index and National Early Warning Score) appear to be useful in an emergency department/acute medical setting; however, further research is required to validate the CRB-65 and Pneumonia Severity Index in primary care/community settings. The economic evidence indicated that clinical scores may be a cost-effective approach to triage patients compared with delayed prescribing. Only systematic reviews were eligible for inclusion in the synthesis of clinical evidence. There was a great deal of overlap in the primary studies included in the reviews, many of which had significant limitations. No studies were undertaken in remote settings (e.g. NHS 111). Only one cost-effectiveness study was identified, with limited applicability to the review question. This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR159945.

Développement et validation d’un outil de dépistage systématique des fragilités sociales des patients atteints de cancer : l’outil DEFCO

Literature suggests that patients from deprived backgrounds are less likely to adhere to their treatments, continue to expose themselves to risk factors and, as a result, have poorer health outcomes. It is therefore crucial to identify these vulnerable populations early on, in order to provide them with tailored and reinforced care. The primary aim of this research is to construct and validate a systematic screening tool for identifying patients at highest risk of social vulnerability due to deprivation, through the use of psychometric techniques. This tool is intended to be easily used by healthcare professionals, to provide tailored and targeted care throughout the patient's journey. This study involves the development and assessment of a screening tool, along with a self-questionnaire and a decision support tool incorporating an artificial neural network. It is a prospective, monocentric, 2-stage psychometric validation study. This study has demonstrated the successful development of the self-questionnaire using psychometric methodology. The tool was found a good performance in screening social vulnerabilities. This validated self-questionnaire is an easy-to-use tool, allowing systematic screening for social vulnerabilities for cancer patients. This early identification allows to reinforce patient's pathway in order to avoid disruption. The integration of the tool in an artificial neuron network system allows to automate and disseminate this method of deprived patients' detection, while limiting the workload for the staff.

Application of Lie symmetry to find an analytical solution for reactor point kinetics equation with prompt jump approximation and power feedback

The reactor Point Kinetics Equations (PKE) are simpler zero-dimensional approximation to space dependent dynamical models of nuclear reactor core, that are accurate enough to describe transients in small to medium size fast reactor cores. Even these simplified equations can be solved only by numerical methods, except in a very few restrictive cases, where they are amenable to analytical solution. Symmetry methods using Lie's point symmetry have been shown to be a systematic and powerful tool to solve any given ordinary or partial differential equation. An approximation of the PKE, known as Prompt Jump Approximation (PJA) converts the coupled system of first order ODEs with one delayed-neutron precursor group and power feedback, into a single first order nonlinear ordinary differential equation. In this study, we demonstrate an application of Lie symmetry method for solving the point kinetics equation under PJA. The analytical solution obtained is compared with benchmark numerical solution of PKE with PJA.

Impact of Sedentary Behaviors on Blood Pressure and Cardiovascular Disease: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Cardiovascular diseases (CVD) are among the leading causes of mortality in the western world, and high blood pressure is among the greatest risk factors for CVD. Given that most of a person's waking hours are spent in sedentary behaviors, understanding the cardiovascular impact of a sedentary lifestyle is imperative. Although limiting sedentary time is encouraged in public health messaging, individual reviews analyzing its impact on clinically relevant cardiovascular outcomes such as blood pressure and CVD exhibit conflicting results. We conducted an umbrella review of systematic reviews and meta-analyses synthesizing the effects of sedentary time/behaviors on blood pressure or CVD. To be included, studies had to be a systematic review and/or meta-analysis that studied the impact of sedentary time or a sedentary posture on blood pressure or CVD incidence/mortality. The review was preregistered in PROSPERO (CRD4202342568) and conducted in May 2023. The Joanna Briggs Institute and Risk of Bias in Systematic Reviews tools assessed study quality. PRISMA reporting was followed. Our umbrella review screened 2215 citations with 40 review studies meeting our inclusion criteria (n = 22 meta-analyses) that included 234 unique individual studies of 3,769,755 unique participants. The average study quality was high (9.2 ± 1.7 out of 11). A minority of studies (n = 7/20) supported that less sedentary time was associated with lower blood pressure, with reviews of interventional studies typically not observing a consistent effect (n = 9/12), whereas reviews of cross-sectional studies observed apositive effect (n = 5/7). When hypertension rates were used as the outcome, most (n = 3/4) studies observed a deleterious impact of sedentary time. For CVD incidence/mortality, less sedentary time or screen time was consistently associated with a lower CVD incidence/mortality (n = 17/23), with studies exhibiting a null effect generally including small sample sizes and being of a lower study quality. Total sedentary time and specific behaviors (i.e., television and screen time) exhibited similar findings. Based on a high quality of evidence and large sample size, existing systematic reviews and meta-analyses demonstrate the negative impact of sedentary behaviors on CVD incidence/mortality, with conflicting reports for blood pressure that vary based on the study design.

The Effect of Plant-Based Protein Ingestion on Athletic Ability in Healthy People-A Bayesian Meta-Analysis with Systematic Review of Randomized Controlled Trials.

Plant-based protein supplements are increasingly popular, yet their efficacy in enhancing athletic performance compared to animal protein, insect protein, or other protein types remains under investigation. This study aimed to assess the effectiveness of plant-based protein on athletic abilities such as muscle strength, endurance performance, and muscle protein synthesis (MPS) rate and compare it to no- or low-protein ingestion and non-plant protein sources. Randomized controlled trials (RCTs) evaluating the beneficial and harmful effects of plant-based protein ingestion on athletic ability in healthy individuals were considered. A systematic search of six databases yielded 2152 studies, which were screened using the Covidence systematic review tool. Thirty-one studies were included for meta-analysis after independent selection, data extraction, and risk of bias assessment by two reviewers. The meta-analysis employed a Bayesian approach using the Markov chain Monte Carlo (MCMC) method through a random-effects model. The results demonstrated that plant-based protein supplements provided greater benefits for athletic performance in healthy individuals compared to the no- or low-protein ingestion group [μ(SMD): 0.281, 95% CI: 0.159 to 0.412; heterogeneity τ: 0.18, 95% CI: 0.017 to 0.362]. However, when compared to other types of protein, plant-based protein ingestion was less effective in enhancing athletic ability [μ(SMD): -0.119, 95% CI: -0.209 to -0.028; heterogeneity τ: 0.076, 95% CI: 0.003 to 0.192]. A subgroup analysis indicated significant improvements in muscle strength and endurance performance in both young and older individuals consuming plant-based protein compared to those with no- or low-protein ingestion. Nonetheless, other protein types showed greater benefits in muscle strength compared to plant-based protein [μ(SMD): -0.133, 95% CI: -0.235 to -0.034; heterogeneity τ: 0.086, 95% CI: 0.004 to 0.214]. In conclusion, while plant-based protein ingestion demonstrates superior efficacy compared to low- or no-protein ingestion, it is not as effective as other protein types such as whey, beef, or milk protein in enhancing athletic performance in healthy individuals. Registration: Registered at the International Prospective Register of Systematic Reviews (PROSPERO) (identification code CRD42024555804).

Analysing educational dialogue around shared artefacts in technology-mediated contexts: a new coding framework

ABSTRACT Multimodal interactions that incorporate technology use can support rich new forms of educational dialogue that highlight differences between participants’ perspectives and make reasoning processes more explicit. Learning with technology is mediated by digitally represented knowledge artefacts that participants construct together and manipulate through dialogue. However, there is a need for research into the methods by which researchers and practitioners can understand the learning taking place in such complex environments where verbal and nonverbal interactions with technology are inter-connected and entangled with activities and material learning resources. This paper addresses that need. It offers a critical discussion of the underlying theory and presents a new 13-category coding scheme, ‘Tech-SEDA’. This is the first public version of a systematic, research-informed and practical tool for analysing verbal and nonverbal dialogic communication at the micro- or meso- level across diverse educational settings. Application is illustrated with examples of dialogic interaction across diverse technology contexts by learners located in classrooms or remotely – including online discussions, 3-dimensional modelling in augmented reality, software apps on tablets, Knowledge Forum, Scratch programming, interactive whiteboards, and more. The paper considers the methodological issues arising in capturing dynamic multimodal dialogue and in identifying the learning taking place.

Techno-Economic Optimisation of Green and Clean Hydrogen Production

AbstractEnergy is typically generated from fossil fuels, leading to significant greenhouse gas (GHG) emissions. Therefore, cleaner energy needs to be used to reduce GHG emissions in the energy sector. Hydrogen (H2) is identified as a potential resource suitable for replacing fossil fuels as H2 burns with oxygen to produce water (H2O) and generates no emissions as a result of this. However, H2 is normally produced through steam reforming of natural gas, which is a fossil fuel. Clean H2 can be produced if its derived from renewable pathways, such as solar powered water electrolysis, gasification of biomass, etc. However, determining a feasible renewable pathway is challenging. In addition, storage of H2 is another challenge as the energy density of H2 is considerably low. To increase the energy density, H2 must stored at high pressure and low temperature. This causes high storing costs for H2 before being transported to the end-users and high energy consumption requirements. H2 production from renewable sources is also lower in efficiency when compared with conventional production technology. Thus, it is critical to develop a systematic optimisation tool to analyse and optimise the production of clean H2 to overcome the abovementioned challenges. This work presents an optimisation model to optimise the production of clean H2 based on total annualised cost, yield, efficiency, storage and energy consumption of each technology. To illustate the proposed model, a case study with several scenarios, such as an economically feasible and clean H2 process and optimal H2 production and storage technologies in terms of energy consumption, is solved.

Automation of duplicate record detection for systematic reviews: Deduplicator

BackgroundTo describe the algorithm and investigate the efficacy of a novel systematic review automation tool “the Deduplicator” to remove duplicate records from a multi-database systematic review search.MethodsWe constructed and tested the efficacy of the Deduplicator tool by using 10 previous Cochrane systematic review search results to compare the Deduplicator’s ‘balanced’ algorithm to a semi-manual EndNote method. Two researchers each performed deduplication on the 10 libraries of search results. For five of those libraries, one researcher used the Deduplicator, while the other performed semi-manual deduplication with EndNote. They then switched methods for the remaining five libraries. In addition to this analysis, comparison between the three different Deduplicator algorithms (‘balanced’, ‘focused’ and ‘relaxed’) was performed on two datasets of previously deduplicated search results.ResultsBefore deduplication, the mean library size for the 10 systematic reviews was 1962 records. When using the Deduplicator, the mean time to deduplicate was 5 min per 1000 records compared to 15 min with EndNote. The mean error rate with Deduplicator was 1.8 errors per 1000 records in comparison to 3.1 with EndNote. Evaluation of the different Deduplicator algorithms found that the ‘balanced’ algorithm had the highest mean F1 score of 0.9647. The ‘focused’ algorithm had the highest mean accuracy of 0.9798 and the highest recall of 0.9757. The ‘relaxed’ algorithm had the highest mean precision of 0.9896.ConclusionsThis demonstrates that using the Deduplicator for duplicate record detection reduces the time taken to deduplicate, while maintaining or improving accuracy compared to using a semi-manual EndNote method. However, further research should be performed comparing more deduplication methods to establish relative performance of the Deduplicator against other deduplication methods.

Dementia-Sensitive Environmental Design of Living Units in German Nursing Homes: First Results of the German Environmental Audit Tool (G-EAT).

The built environment is a key component of dementia-specific care. Little is known about the characteristics of dementia-sensitive environmental elements in living units of nursing homes in Germany. The German Environmental Audit Tool (G-EAT) is a systematic assessment tool for describing these elements in detail. To describe the extent of dementia-sensitive design principles and environmental elements in a regionally limited sample of living units in Germany. The built environment was assessed using G-EAT and analysed quantitatively and descriptively. Definitions of living units were developed based on site visits and analysed using qualitative content analysis. The 42 participating living units were heterogeneous in terms of space and composition. Dementia-sensitive design principles varied greatly in their implementation in the built environment; on average, 87.7% of the environmental elements were oriented towards a familiar environment. In contrast, visual accessibility was much less frequently enabled by the built environment (mean 37.3%). The characteristics of various dementia-sensitive environmental elements need to be further investigated against the background of the nursing home care concept and the homogeneity of the resident group to enable the initiation of tailored environmental adaptation that can be implemented by interdisciplinary teams in nursing homes. This also requires a follow-up study with a larger sample of living units to identify the factors that promote and inhibit the development of a dementia-sensitive environment.