bluuebunny/crossref_metadata_2025_split huggingface dataset:
Woven fabric selection and grading for ladies’ winter shawls using multicriteria decision-making approach
Authors: Yousaf Faryal , Sajjad Shabana , Tauqeer Faiza , Hussain Tanveer , Khattak Shahnaz , Iftikhar Fatima 
Published: April 2024

Purpose
Quality assessment of textile products is of prime concern to intimately meet consumer demands. The dilemma faced by textile producers is to figure out the stability among quality criteria and efficiently deal with target specifications. Hence, the basic devotion is to attain the optimum value product which entirely satisfies the views and perceptions of consumers. Selection of best fabric among several alternatives in the presence of contradictory measures is a disputing problem in multicriteria decision-making.

Design/methodology/approach
In the current study, the analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE) are proficiently used to solve the problem in selection of branded woven shawls. AHP method verifies comparative weights of the criteria selection, while the ranking of fabric alternatives grounded on specific net-outranking flows is executed through PROMETHEE II method.

Findings
The collective AHP and PROMETHEE approaches are applied for the useful accomplishment of grading of branded shawls based on multicriteria weights, used for effective selection of fabric materials in the textile market.

Practical implications
In the apparel industry, fabric and garment manufacturers often rely on hit-and-trial methods, leading to significant wastage of valuable resources and time, in achieving the desirable fabric qualities. The implementation of the findings can assist apparel manufacturers in streamlining their fabric selection processes based on multiple criteria. By adopting this method, industry players can make informed decisions, ensuring a balance between quality standards and consumer expectations, thereby enhancing both product value and market competitiveness.

Originality/value
The methods of Visual PROMETHEE and AHP are assimilated to offer a complete method for the selection and grading of fabrics with reference to multiple selection criteria.
Exploring the role of narrative in social enterprise and social innovation
Authors: Meissner Nico , McNeill Joanne , Allen Matt 
Published: April 2024

PurposeThis paper aims to examine how the fields of social enterprise, social entrepreneurship and social innovation have theorised and applied the concepts of narrative and storytelling.Design/methodology/approachA literature review and subsequent thematic analysis were used. A keyword search of three databases identified 93 relevant articles that were subsequently reviewed for this paper.FindingsFour main roles for storytelling and narrative were found in the literature: to gain support for social innovation, to inspire social change, to build a social-entrepreneurial identity and to debate the meaning and direction of social innovation itself.Practical implicationsFollowing the literature review, capacities and applications of storytelling and narrative in other, related fields are discussed to highlight practical use cases of storytelling that might currently be underdeveloped in the social enterprise and innovation sectors.Originality/valueThe paper argues that the social innovation and enterprise literature predominantly views storytelling as a form of mass communication, while often overlooking its ability to foster communal debate and organise intrapersonal dialogue as possible aspects of strategic thinking and innovation management in social enterprise, social entrepreneurship and social innovation.
Multiple toxins and a protease contribute to the aphid‐killing ability of Pseudomonas fluorescensPpR24
Authors: Paliwal Deepa , Rabiey Mojgan , Mauchline Tim H. , Hassani‐Pak Keywan , Nauen Ralf , Wagstaff Carol , Andrews Simon , Bass Chris , Jackson Robert W. 
Published: April 2024

AbstractAphids are globally important pests causing damage to a broad range of crops. Due to insecticide resistance, there is an urgent need to develop alternative control strategies. In our previous work, we found Pseudomonas fluorescens PpR24 can orally infect and kill the insecticide‐resistant green‐peach aphid (Myzus persicae). However, the genetic basis of the insecticidal capability of PpR24 remains unclear. Genome sequencing of PpR24 confirmed the presence of various insecticidal toxins such as Tc (toxin complexes), Rhs (rearrangement hotspot) elements, and other insect‐killing proteases. Upon aphids infection with PpR24, RNA‐Seq analysis revealed 193 aphid genes were differentially expressed with down‐regulation of 16 detoxification genes. In addition, 1325 PpR24 genes (542 were upregulated and 783 downregulated) were subject to differential expression, including genes responsible for secondary metabolite biosynthesis, the iron‐restriction response, oxidative stress resistance, and virulence factors. Single and double deletion of candidate virulence genes encoding a secreted protease (AprX) and four toxin components (two TcA‐like; one TcB‐like; one TcC‐like insecticidal toxins) showed that all five genes contribute significantly to aphid killing, particularly AprX. This comprehensive host–pathogen transcriptomic analysis provides novel insight into the molecular basis of bacteria‐mediated aphid mortality and the potential of PpR24 as an effective biocontrol agent.
Transport digitalisation: Navigating futures of hypercognitive disablement
Authors: Fletcher James Rupert 
Published: April 2024

AbstractPeople living with cognitive impairments face new forms of disablement in the context of transport digitalisation, an issue recently catalysed by controversies regarding rail ticket office closures. Transport can dramatically impact the lives of people diagnosed with dementia, who often find their mobility suddenly and dramatically impaired. Unfortunately, sociological analysis of cognitive disability has traditionally been undermined by under‐theorisation. One solution can be found in classic bioethical work on hypercognitivism—the veneration of cognitive acuity—and its disabling consequences. A hypercognitive approach can nurture an attentiveness to the specificities of digital disablement. Here, disability does not emerge from digitalisation inherently, but is instead intensified by the implementation of digitalisation in line with value commitments. A more robust sociology of cognitive disability could better represent the interests of people with cognitive impairments and resist the new forms of disability that current digitalisation risks spreading.
A comprehensive framework for the delimitation of species within the Bemisia tabaci cryptic complex, a global pest‐species group
Authors: Wang Hua‐Ling , Lei Teng , Wang Xiao‐Wei , Cameron Stephen , Navas‐Castillo Jesús , Liu Yin‐Quan , Maruthi M. N. , Omongo Christopher A. , Delatte Hélène , Lee Kyeong‐Yeoll , Krause‐Sakate Renate , Ng James , Seal Susan , Fiallo‐Olivé Elvira , Bushley Kathryn , Colvin John , Liu Shu‐Sheng 
Published: April 2024

AbstractIdentifying cryptic species poses a substantial challenge to both biologists and naturalists due to morphological similarities. Bemisia tabaci is a cryptic species complex containing more than 44 putative species; several of which are currently among the world's most destructive crop pests. Interpreting and delimiting the evolution of this species complex has proved problematic. To develop a comprehensive framework for species delimitation and identification, we evaluated the performance of distinct data sources both individually and in combination among numerous samples of the B. tabaci species complex acquired worldwide. Distinct datasets include full mitogenomes, single‐copy nuclear genes, restriction site‐associated DNA sequencing, geographic range, host speciation, and reproductive compatibility datasets. Phylogenetically, our well‐supported topologies generated from three dense molecular markers highlighted the evolutionary divergence of species of the B. tabaci complex and suggested that the nuclear markers serve as a more accurate representation of B. tabaci species diversity. Reproductive compatibility datasets facilitated the identification of at least 17 different cryptic species within our samples. Native geographic range information provides a complementary assessment of species recognition, while the host range datasets provide low rate of delimiting resolution. We further summarized different data performances in species classification when compared with reproductive compatibility, indicating that combination of mtCOI divergence, nuclear markers, geographic range provide a complementary assessment of species recognition. Finally, we represent a model for understanding and untangling the cryptic species complexes based on the evidence from this study and previously published articles.
Mechanisms of the initial stage of non‐enzymatic oxidation of wine: A mini review
Authors: Wang Guanghao , Kumar Yogesh 
Published: April 2024

AbstractNon‐enzymatic oxidation is a primary factor affecting wine quality during bottling or aging. Although red and white wines exhibit distinct responses to oxidation over time, the fundamental mechanisms driving this transformation remain remarkably uniform. Non‐enzymatic oxidation of wine commences with the intricate interplay between polyphenols and oxygen, orchestrating a delicate redox dance with iron and copper. Notably, copper emerges as an accelerant in this process. To safeguard wine integrity, sulfur dioxide (SO2) is routinely introduced to counteract the pernicious effects of oxidation by neutralizing hydrogen peroxide and quinone. In this comprehensive review, the initial stages of non‐enzymatic wine oxidation are examined. The pivotal roles played by polyphenols, oxygen, iron, copper, and SO2 in this complex oxidative process are systematically explored. Additionally, the effect of quinone formation on wine characteristics and the intricate dynamics governing oxygen availability are elucidated. The potential synergistic or additive effects of iron and copper are probed, and the precise balance between SO2 and oxygen is scrutinized. This review summarizes the mechanisms involved in the initial stages of non‐enzymatic oxidation of wine and anticipates the potential for further research.
Classical tests, linear models and their extensions for the analysis of 2 × 2 contingency tables
Authors: Nagel Rebecca , Ruxton Graeme D. , Morrissey Michael B. 
Published: April 2024

Abstract

Ecologists and evolutionary biologists are regularly tasked with the comparison of binary data across groups. There is, however, some discussion in the biostatistics literature about the best methodology for the analysis of data comprising binary explanatory and response variables forming a 2 × 2 contingency table.

We assess several methodologies for the analysis of 2 × 2 contingency tables using a simulation scheme of different sample sizes with outcomes evenly or unevenly distributed between groups. Specifically, we assess the commonly recommended logistic (generalised linear model [GLM]) regression analysis, the classical Pearson chi‐squared test and four conventional alternatives (Yates' correction, Fisher's exact, exact unconditional and mid‐p), as well as the widely discouraged linear model (LM) regression.

We found that both LM and GLM analyses provided unbiased estimates of the difference in proportions between groups. LM and GLM analyses also provided accurate standard errors and confidence intervals when the experimental design was balanced. When the experimental design was unbalanced, sample size was small, and one of the two groups had a probability close to 1 or 0, LM analysis could substantially over‐ or under‐represent statistical uncertainty. For null hypothesis significance testing, the performance of the chi‐squared test and LM analysis were almost identical. Across all scenarios, both had high power to detect non‐null effects and reject false positives. By contrast, the GLM analysis was underpowered when using z‐based p‐values, in particular when one of the two groups had a probability near 1 or 0. The GLM using the LRT had better power to detect non‐null results.

Our simulation results suggest that, wherever a chi‐squared test would be recommended, a linear regression is a suitable alternative for the analysis of 2 × 2 contingency table data. When researchers opt for more sophisticated procedures, we provide R functions to calculate the standard error of a difference between two probabilities from a Bernoulli GLM output using the delta method. We also explore approaches to compliment GLM analysis of 2 × 2 contingency tables with credible intervals on the probability scale. These additional operations should support researchers to make valid assessments of both statistical and practical significances.
The clinical role of remimazolam: Protocol for a scoping review
Authors: Intzilaki Christina V. , Davodi Jasmin , Vilmann Peter , Møller Ann M. 
Published: April 2024

AbstractBackgroundRemimazolam, a novel benzodiazepine, shows promise as an alternative to traditional sedatives and hypnotic agents in procedural sedation and general anaesthesia. While preliminary research indicates potential advantages over conventional agents, such as faster onset, predictable duration, and improved safety profile, the extent and quality of existing evidence remain unclear. This scoping review aims to investigate the current clinical role of remimazolam and provide a broad and comprehensive overview.MethodsThe proposed review will adhere to the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic Review and Meta‐Analysis for Scoping Reviews. A comprehensive search will be conducted across major peer‐reviewed databases and grey literature will be sought. All studies involving individuals undergoing procedural sedation or general anaesthesia with remimazolam will be eligible. Data extraction will encompass trial and participant characteristics, intervention details, reported outcomes, comparative efficacy versus midazolam and propofol, patient and operator experience and economic costs.ResultsWe will provide a descriptive summary supplemented by statistics, figures and tables where applicable.ConclusionThe outlined scoping review aims to assess the clinical use of remimazolam in procedural sedation and as the hypnotic component of general anaesthesia. The review will map the current body of evidence of remimazolam and identify knowledge gaps, contributing to understanding its clinical implications and guiding future research efforts in procedural sedation and general anaesthesia.
Pediatric mental health emergency department visits from 2017 to 2022: A multicenter study
Authors: Hoffmann Jennifer A. , Carter Camille P. , Olsen Cody S. , Ashby David , Bouvay Kamali L. , Duffy Susan J. , Chamberlain James M. , Chaudhary Sofia S. , Glomb Nicolaus W. , Grupp‐Phelan Jacqueline , Haasz Maya , O'Donnell Erin P. , Saidinejad Mohsen , Shihabuddin Bashar S. , Tzimenatos Leah , Uspal Neil G. , Zorc Joseph J. , Cook Lawrence J. , Alpern Elizabeth R. ,   the PECARN Registry Study Group
Published: April 2024

AbstractBackgroundThe COVID‐19 pandemic adversely affected children's mental health (MH) and changed patterns of MH emergency department (ED) utilization. Our objective was to assess how pediatric MH ED visits during the COVID‐19 pandemic differed from expected prepandemic trends.MethodsWe retrospectively studied MH ED visits by children 5 to <18 years old at nine U.S. hospitals participating in the Pediatric Emergency Care Applied Research Network Registry from 2017 to 2022. We described visit length by time period: prepandemic (January 2017–February 2020), early pandemic (March 2020–December 2020), midpandemic (2021), and late pandemic (2022). We estimated expected visit rates from prepandemic data using multivariable Poisson regression models. We calculated rate ratios (RRs) of observed to expected visits per 30 days during each pandemic time period, overall and by sociodemographic and clinical characteristics.ResultsWe identified 175,979 pediatric MH ED visits. Visit length exceeded 12 h for 7.3% prepandemic, 8.4% early pandemic, 15.0% midpandemic, and 19.2% late pandemic visits. During the early pandemic, observed visits per 30 days decreased relative to expected rates (RR 0.80, 95% confidence interval [CI] 0.78–0.84), were similar to expected rates during the midpandemic (RR 1.01, 95% CI 0.96–1.07), and then decreased below expected rates during the late pandemic (RR 0.92, 95% CI 0.86–0.98). During the late pandemic, visit rates were higher than expected for females (RR 1.10, 95% CI 1.02–1.20) and for bipolar disorders (RR 1.83, 95% CI 1.38–2.75), schizophrenia spectrum disorders (RR 1.55, 95% CI 1.10–2.59), and substance‐related and addictive disorders (RR 1.50, 95% CI 1.18–2.05).ConclusionsDuring the late pandemic, pediatric MH ED visits decreased below expected rates; however, visits by females and for specific conditions remained elevated, indicating a need for increased attention to these groups. Prolonged ED visit lengths may reflect inadequate availability of MH services.
Institutional attention and investment efficiency
Authors: Zheng Jiayi 
Published: April 2024

AbstractThis study investigates how institutional investors' attention on the earnings announcement day affects corporate investment decisions. I find that the investment of firms receiving abnormal institutional attention is approximately 1.8 times more sensitive to their stock price than that of others. This effect is more pronounced when institutional investors have greater incentives to produce information and when corporate managers have greater incentives and capability to employ the incremental information contained in the stock price. These findings suggest that attention encourages institutional investors to incorporate private information into stock prices, which provides a useful guide for managers' investment decisions.
Who is at risk for weight gain after weight‐gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach
Authors: Eder Julia , Glocker Catherine , Barton Barbara , Sarisik Elif , Popovic David , Lämmermann Jana , Knaf Alexandra , Beqiri‐Zagler Anja , Engl Katharina , Rihs Leonie , Pfeiffer Lisa , Schmitt Andrea , Falkai Peter , Simon Maria S. , Musil Richard 
Published: April 2024

AbstractBackgroundWeight gain is a common side effect in psychopharmacology; however, targeted therapeutic interventions and prevention strategies are currently absent in day‐to‐day clinical practice. To promote the development of such strategies, the identification of factors indicative of patients at risk is essential.MethodsIn this study, we developed a transdiagnostic model using and comparing decision tree classifiers, logistic regression, XGboost, and a support vector machine to predict weight gain of ≥5% of body weight during the first 4 weeks of treatment with psychotropic drugs associated with weight gain in 103 psychiatric inpatients. We included established variables from the literature as well as an extended set with additional clinical variables and questionnaires.ResultsBaseline BMI, premorbid BMI, and age are known risk factors and were confirmed by our models. Additionally, waist circumference has emerged as a new and significant risk factor. Eating behavior next to blood glucose were found as additional potential predictor that may underlie therapeutic interventions and could be used for preventive strategies in a cohort at risk for psychotropics induced weight gain (PIWG).ConclusionOur models validate existing findings and further uncover previously unknown modifiable factors, such as eating behavior and blood glucose, which can be used as targets for preventive strategies. These findings underscore the imperative for continued research in this domain to establish effective preventive measures for individuals undergoing psychotropic drug treatments.
Integrated care van delivery of evidence‐based services for people who inject drugs: A cluster‐randomized trial
Authors: Page Kathleen R. , Weir Brian W. , Zook Katie , Rosecrans Amanda , Harris Robert , Grieb Suzanne M. , Falade‐Nwulia Oluwaseun , Landry Miles , Escobar Wendy , Ramirez Michael P. , Saxton Ronald E. , Clarke William A. , Sherman Susan G. , Lucas Gregory M. 
Published: April 2024

AbstractBackground and aimsPeople who inject drugs (PWID) are at risk for adverse outcomes across multiple dimensions. While evidence‐based interventions are available, services are often fragmented and difficult to access. We measured the effectiveness of an integrated care van (ICV) that offered services for PWID.Design, setting and participantsThis was a cluster‐randomized trial, which took place in Baltimore, MD, USA. Prior to randomization, we used a research van to recruit PWID cohorts from 12 Baltimore neighborhoods (sites), currently served by the city's mobile needle exchange program.Intervention and comparatorWe randomized sites to receive weekly visits from the ICV (n = 6) or to usual services (n = 6) for 14 months. The ICV offered case management; buprenorphine/naloxone; screening for HIV, hepatitis C virus and sexually transmitted infections; HIV pre‐exposure prophylaxis; and wound care.MeasurementsThe primary outcome was a composite harm mitigation score that captured access to evidence‐based services, risk behaviors and adverse health events (range = 0−15, with higher numbers indicating worse status). We evaluated effectiveness by comparing changes in the composite score at 7 months versus baseline in the two study arms.FindingsWe enrolled 720 cohort participants across the study sites (60 per site) between June 2018 and August 2019: 38.3% women, 72.6% black and 85.1% urine drug test positive for fentanyl. Over a median of 10.4 months, the ICV provided services to 734 unique clients (who may or may not have been cohort participants) across the six intervention sites, including HIV/hepatitis C virus testing in 577 (78.6%) and buprenorphine/naloxone initiation in 540 (74%). However, only 52 (7.2%) of cohort participants received services on the ICV. The average composite score decreased at 7 months relative to baseline, with no significant difference in the change between ICV and usual services (difference in differences: −0.31; 95% confidence interval: −0.70, 0.08; P = 0.13).ConclusionsThis cluster‐randomized trial in Baltimore, MD, USA, found no evidence that weekly neighborhood visits from a mobile health van providing injection‐drug‐focused services improved access to services and outcomes among people who injected drugs in the neighborhood, relative to usual services. The van successfully served large numbers of clients but unexpectedly low use of the van by cohort participants limited the ability to detect meaningful differences.