bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancing the Understanding of Clinical Sepsis Using Gene Expression-Driven Machine Learning to Improve Patient Outcomes
Authors: Rashid Asrar , Al-Obeida Feras , Hafez Wael , Benakatti Govind , Malik Rayaz A , Koutentis Christos , Sharief Javed , Brierley Joe , Quraishi Nasir , Malik Zainab A , Anwary Arif , Alkhzaimi Hoda , Zaki Syed Ahmed , Khilnani Praveen , Kadwa Raziya , Phatak Rajesh , Schumacher Maike , Shaikh Guftar , Al-Dubai Ahmed , Hussain Amir 
Published: September 2023

ABSTRACTSepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of Machine Learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. The lack of a clear definition of sepsis is highlighted as a major hurdle, but ML models offer a workaround by focusing on endpoint prediction. We emphasize the significance of gene transcript information and its use in ML models to provide insights into sepsis pathophysiology and biomarker identification. Temporal analysis and integration of gene expression data further enhance the accuracy and predictive capabilities of ML models for sepsis. Although challenges such as interpretability and bias exist, ML research offers exciting prospects for addressing critical clinical problems, improving sepsis management, and advancing precision medicine approaches. Collaborative efforts between clinicians and data scientists are essential for the successful implementation and translation of ML models into clinical practice. ML has the potential to revolutionize our understanding of sepsis and significantly improve patient outcomes. Further research and collaboration between clinicians and data scientists are needed to fully understand the potential of ML in sepsis management.
Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces
Authors: Hester Eric W. , Vasil Geoffrey M. 
Published: September 2023

We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results and provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
A material perspective on advanced magnesium-ion batteries for electric vehicles
Authors: Shah Raj , Pai Nikhil , Rosenkranz Andreas 
Published: September 2023

Purpose
This paper aims at analyzing the potential of new materials in magnesium-ion batteries (MIBs) with a particular focus on options for electrodes and electrolyte solutions while also carefully considering the barriers to their entry in this application for MIBs, with a particular focus on the material options for electrodes and electrolyte solutions.

Design/methodology/approach
Potential materials for MIBs were examined for sustainability, safety and efficiency to develop the sustainable and well-working MIBs.

Findings
For anode materials, the use of Mg-bismuth alloys has shown promise, whereas Chevrel phases or layered molybdenum disulfide have potential as cathode materials. Potential electrolytes range from traditional materials to the development of tailored solid-state and liquid-based options.

Originality/value
This study considers the growing need for Mg-based ion batteries, as well as the need for suitable electrode and electrolyte materials and analyzes suitable options.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2023-0081/
Detecting depression and its severity based on social media digital cues
Authors: Deng Shasha , Cheng Xuan , Hu Rong 
Published: September 2023

PurposeAs convenience and anonymity, people with mental illness are increasingly willing to communicate and share information through social media platforms to receive emotional and spiritual support. The purpose of this paper is to identify the degree of depression based on people's behavioral patterns and discussion content on the Internet.Design/methodology/approachBased on the previous studies on depression, the severity of depression is divided into four categories: no significant depressive symptoms, mild MDD, moderate MDD and severe MDD, and defined each of them. Next, in order to automatically identify the severity, the authors proposed social media digital cues to identify the severity of depression, which include textual lexical features, depressive language features and social behavioral features. Finally, the authors evaluate a system that is developed based on social media digital cues in the experiment using social media data.FindingsThe social media digital cues including textual lexical features, depressive language features and social behavioral features (F1, F2 and F3) is the relatively best one to classify four different levels of depression.Originality/valueThis paper innovatively proposes a social media data-based framework (SMDF) to identify and predict different degrees of depression through social media digital cues and evaluates the accuracy of the detection through social media data, providing useful attempts for the identification and intervention of depression.
The diffusion of green technology, governance and CO2 emissions in Sub-Saharan Africa
Authors: Traoré Awa , Asongu Simplice 
Published: September 2023

PurposeA promising solution to meet the challenge of sustainability and ensure the protection of the environment consists in acting considerably on the adoption and use of new information and communication technologies. The latter can act on the protection of the environment; completely change manufacturing processes into energy-efficient, eco-friendly techniques or influence institutions and governance. The article attempts to cover shortcomings in the literature by providing a couple of theoretical frameworks and grounded empirical proofs for the dissemination of green technologies and the interaction of the latter with institutional quality.Design/methodology/approachThe sample is made up of 43 African countries covering the period 2000–2020 and a panel VAR modeling approach is employed.FindingsOur results show that an attenuation of CO2 emissions amplifies the diffusion of digital technologies (mobile telephones and Internet). Efficiency in the institutional quality of African countries is mandatory for environmental preservation. Moreover, the provision of a favorable institutional framework in favor of renewable energy helps to stimulate environmental performance in African states.Originality/valueThis study complements the extant literature by assessing nexuses between green technology and CO2 emissions in environmental sustainability.
Takaful: chronology of establishment in 47 countries
Authors: Alshammari Ahmad Alrazni , Altwijry Othman , Abdul-Wahab Andul-Hamid 
Published: September 2023

PurposeFrom 1979 to 2023, the takaful structure has been adopted in many jurisdictions, making the documenting of its early days of establishment relatively difficult and somewhat unreliable. This is unlike conventional insurance, where the history and legislation are well documented and archived in various research (Hellwege, 2016; Marano and Siri, 2017). The purpose of this paper is to provide a chronology for the establishment and development of takaful via the takaful establishment in each jurisdiction, documenting its first takaful operator and first takaful regulation.Design/methodology/approachThis paper has used a qualitative method in the form of reviewing literature and available data such as journals, books and official resources. The data is thoroughly analysed in order to build the chronology for takaful. It adopted an exploratory research design, which is deemed suitable in situations where few works of literature have examined the subject (Neuman, 2014). The paper explores the establishment and non-establishment of takaful in 57 countries. The paper categorises the countries into seven regions starting with the GCC, Levant, Asia, Central Asia, Africa, Europe and Others.FindingsThe takaful chronology presented in this paper shows that takaful operations exist in 47 jurisdictions, starting from Sudan and the UAE in 1979, with the most recent adopters being Morocco and Iran in December 2021. It is found that 22 jurisdictions do not have takaful regulations, and the Takaful Act 1984, issued in Malaysia, is considered the first takaful regulation that sets the basis for other regulations that follow.Originality/valueThe paper contributes to the literature by providing a comprehensive chronology of takaful, especially as the few existing timelines have been found to be incomplete and consist of contradictory information.
Corporate entrepreneurship in sport: evidence from North American leagues
Authors: Mazzei Matthew , Kirkpatrick W. Nathan 
Published: September 2023

PurposeThe authors integrate the established literature on corporate entrepreneurship with the expanding inquiry into sport entrepreneurship by examining professional teams and leagues across North America. By situating the discussion in the context of organizational theory on competition, the authors argue for how teams (contestants) and leagues (organizers) uniquely apply the different forms of corporate entrepreneurship, providing contemporary examples of each. Additionally, the authors identify notable challenges of entrepreneurship within a sport context, emphasizing components that allowed organizations to overcome these concerns. By shining a light on the occurrences and challenges of corporate entrepreneurship within the sport industry, the authors hope to continue the push for greater interest in and examination of sport-related innovation and entrepreneurship.Design/methodology/approachThis work researches and shares numerous examples across the North American sport landscape to illustrate corporate innovation and venturing by sport entities.FindingsThis research identifies innovation, sourced from different competitive actors, involving new products, new services, new processes and new administrative structures and approaches, and even includes the development of new businesses.Originality/valueIn looking at the entrepreneurial efforts of established sport teams and leagues, the authors highlight the impressive efforts of these entities to innovate, grow and evolve their products, service offerings and markets despite unique industrial constraints.
Religious-ethnic entrepreneurs planting seeds: a novel research agenda
Authors: Margaça Clara , Rodrigues Donizete 
Published: September 2023

Purpose
The relationship between ethnicity, religion and entrepreneurship is an emerging field, and an extremely important topic, considering the influence of these drivers on people’s lives and on entrepreneurs’ performance, in particular. This study aims to explore and contribute to a more robust understanding of this relationship.

Design/methodology/approach
The main trends were disclosed using Preferred Reporting Items for Systematic Reviews and Meta-Analysis and VOSviewer. The set of articles cover the annual period from 1973 to 2022. The coupling analysis founded links to produce a framework outlining an integrative state of the art intersecting ethnicity and religion and entrepreneurship spectrum study.

Findings
The analysis identified integrative relationships between the concepts of ethnicity, religion and entrepreneurship, which describe the direction of literature, resulting in five main categories.

Originality/value
This study offers a novel framework and in-depth understanding to delve into this interrelationship research agenda. Guided by the gaps in the literature, a set of outstanding avenues for future research are proposed.
Household portfolio choice before and after a house purchase
Authors: Lyng Ran Sun , Zhou Jie 
Published: September 2023

AbstractUsing a unique administrative panel data from Denmark, this article documents the dynamic evolution of households' financial wealth, the equity market participation rate (extensive margin), and the conditional risky asset share of financial wealth (intensive margin) over a 7‐year period around a house purchase. We find that households' equity market participation rate falls during the year of house purchase. Conditional on participation, the risky asset share of financial wealth follows a V‐shape around the house purchase. It decreases and reaches the lowest point 1 year before a house purchase, but jumps up immediately after. This finding suggests that of the three channels identified in the literature that are related to the risky asset demand after a house purchase, the debt retirement channel and the diversification effect dominate the liquidity concern.
Simulating capture efficiency of pitfall traps based on sampling strategy and the movement of ground‐dwelling arthropods
Authors: Ahmed Danish A. , Beidas Ayah , Petrovskii Sergei V. , Bailey Joseph D. , Bonsall Michael B. , Hood Amelia S. C. , Byers John A. , Hudgins Emma J. , Russell James C. , Růžičková Jana , Bodey Thomas W. , Renault David , Bonnaud Elsa , Haubrock Phillip J. , Soto Ismael , Haase Peter 
Published: September 2023

AbstractPitfall traps are frequently used to capture ground‐dwelling arthropods, particularly beetles, ants and spiders. The capture efficiency of a pitfall trapping system strongly depends on the number and opening size of traps, how traps are distributed over the sampling area (spatial arrangement) and the movement characteristics of arthropods.We use numerical simulations for a single species to analyse the trap count patterns that emerge from these variables. Arthropod movement of individuals is modelled as correlated random walks, with multiple traps placed over an area, and catches are simulated as individual interaction with traps. We consider four different types of spatial arrangements of traps across a homogeneous landscape: grid (i.e. rectangular array), transect, nested‐cross and randomised. We contextualise our results by considering the locomotion ofPterostichus melanarius, a highly active carabid beetle often serving as a biocontrol agent for the suppression of pest insects and weeds.By simulating the trapping of randomly moving ground‐dwelling arthropods, we show that there is an optimal inter‐trap separation distance (trap spacing) that maximises captures, that can be expressed using exact formulae in terms of trap opening sizes, sampling area and trap number. Moreover, for the grid and nested‐cross arrangements, larger trap spacing to maximise spatial coverage over the whole sampling area is suboptimal. Also, we find that over a large sampling area, there is a hierarchical order for spatial arrangements in relation to capture efficiency: grid, randomised, transect, followed by the nested‐cross. However, over smaller sampling areas, this order is changed as the rate at which trap counts accumulate with trap number varies across arrangements—eventually saturating at different levels. In terms of movement effects, capture efficiency is maximised over a narrow diffusive range and does not depend strongly on the type of spatial arrangement—indicating an approximate optimal mode of arthropod activity, i.e. rate of spread.Our approach simultaneously considers several important experimental design aspects of pitfall trapping providing a basis to optimise and adapt sampling protocols to other types of traps to better reflect their various purposes, such as monitoring, conservation or pest management.
The connection still matters: Therapeutic alliance with digital treatment for alcohol use disorder
Authors: Benitez Bryan , Frankforter Tami L. , Nich Charla , Kiluk Brian D. 
Published: September 2023

AbstractBackgroundA strong cooperative bond between the patient and provider (“therapeutic alliance”) is robustly associated with better alcohol use disorder (AUD) treatment outcomes. Although digital treatments for AUD have significant potential, the function of the alliance during digital programs is unclear. We compared the validity of patient‐reported measures of the alliance with a digital treatment (“digital alliance”) for AUD and the alliance with their clinician (“clinician alliance”).MethodsWe used data from an 8‐week, randomized clinical trial of a computerized cognitive behavioral therapy program (CBT4CBT) during outpatient AUD treatment. Treatment conditions included CBT4CBT with minimal clinical monitoring (CBT4CBT + monitor) or with treatment as usual (CBT4CBT + TAU). The digital alliance and clinician alliance were measured with similar versions of the Working Alliance Inventory (WAI). The WAI ratings were completed at the 2nd and 6th treatment sessions. A timeline followback calendar assessed daily alcohol use. Bayesian multilevel models compared the strength of the alliances and tested their associations with future alcohol use.ResultsData from 43 participants were included (age M = 44; 65% male; 51% Black, 40% White, 9% other; 14% Hispanic). The digital alliance ratings had similar internal reliability as the clinician alliance ratings (ω's > 0.90). Differences between digital alliance and clinician alliance ratings were negligible in both treatment conditions (BF01 = 9 and 31). During treatment, within‐person increases in the digital alliance and the clinician alliance predicted modest decreases in future drinking to a similar degree (BF01 = 15). Alliance ratings were not associated with future drinking when posttreatment follow‐up drinking data were included (BF10 < 3).ConclusionsThe digital alliance with CBT4CBT was comparable to the clinician alliance. The digital alliance and clinician alliance had similar, albeit very small, associations with abstinence during treatment. Future research can explore how the digital alliance develops to improve AUD treatment efficacy.
Community exposure to armed conflict and subsequent onset of alcohol use disorder
Authors: Bruffaerts Ronny , Axinn William G. , Ghimire Dirgha J. , Benjet Corina , Chardoul Stephanie , Scott Kate M. , Kessler Ronald C. , Schulz Paul , Smoller Jordan W. 
Published: September 2023

AbstractAimsTo measure the independent consequences of community‐level armed conflict beatings on alcohol use disorders (AUD) among males in Nepal during and after the 2000–2006 conflict.DesignA population‐representative panel study from Nepal, with precise measures of community‐level violent events and subsequent individual‐level AUD in males. Females were not included because of low AUD prevalence.SettingChitwan, Nepal.ParticipantsFour thousand eight hundred seventy‐six males from 151 neighborhoods, systematically selected and representative of Western Chitwan. All residents aged 15–59 were eligible (response rate 93%).MeasurementsMeasures of beatings in the community during the conflict (2000–2006), including the date and distance away, were gathered through neighborhood reports, geo‐location and official resources, then linked to respondents' life histories of AUD (collected in 2016–2018) using the Nepal‐specific Composite International Diagnostic Interview with life history calendar. Beatings nearby predict the subsequent onset of AUD during and after the armed conflict. Data were analyzed in 2021–2022.FindingsCohort‐specific, discrete‐time models revealed that within the youngest cohort (born 1992–2001), those living in neighborhoods where armed conflict beatings occurred were more likely to develop AUD compared with those in other neighborhoods (odds ratio = 1.66; 95% confidence interval = 1.02–2.71). In this cohort, a multilevel matching analysis designed to simulate a randomized trial showed the post‐conflict incidence of AUD for those living in neighborhoods with any armed conflict beatings was 9.5% compared with 5.3% in the matched sample with no beatings.ConclusionsAmong male children living in Chitwan, Nepal during the 2000–2006 armed conflict, living in a neighborhood where armed conflict beatings occurred is associated with increased odds of developing subsequent alcohol use disorder. This association was independent of personal exposure to beatings and other mental disorders.
Microclimate and seed bank under Pithecellobium keyense (Fabaceae) in a coastal scrubland
Authors: Hernández‐Mendoza Vanessa B. , Cervera J. Carlos , Navarro‐Alberto Jorge A. , Leirana‐Alcocer Jorge Leandro 
Published: September 2023

AbstractMicroclimatic conditions affect seeds' survival, dormancy, and germination, which are determinants in vegetation succession and recovery. The semiarid coastal scrublands of Yucatan, Mexico are very important because of the environmental services they provide thus, studies are needed in disturbed sites in relation to seed viability and microclimate. In this study, we characterized the microclimate and seed bank under Pithecellobium keyense shrubs, during the rainy and dry seasons. We collected soil samples and measured microenvironmental variables under adult P. keyense at three different positions under the canopy of every studied individual (“open” or completely sunny, “half‐shaded,” placed at the border of the canopy, and “fully shaded” placed under the canopy, next to the stem of the shrub). Photosynthetic photon flux density (PPFD), minimum night‐time temperature, and maximum daytime temperature behaved differently among positions under the canopy both in rainy and dry seasons. During the rainy season, seed viability was no different among microenvironments, while in the dry, the highest was found in the fully shaded and the lowest in the open position. Microclimatic variables under the canopy of P. keyense had an effect on the probability of seed viability in Chuburná; and this effect was stronger in the dry season.Abstract in Spanish is available with online material.
Phylogenetic relationships of invasive plants are useful criteria for weed risk assessments
Authors: Buonaiuto D. M. , Evans Annette E. , Fertakos Matthew E. , Pfadenhauer William G. , Salva Justin , Bradley Bethany A. 
Published: September 2023

AbstractRisk assessments are conservation tools used to prevent the introduction of invasive species. Many assessments ask whether a taxon has invasive close relatives, but it is unclear whether this phylogenetic information is useful, and which taxonomic scales (e.g., genus, family) are most predictive of risk. Combining phylogenetic clustering analyses with models predicting invasion risk, we found invasive plants were clustered within nonnative flora of the conterminous United States. Taxonomic information in models improved their predictive capacity; invasion risk for taxa with invasive confamilials, congeners, or sister taxa increased by 9%, 16%, and 19% respectively. Phylogenetic information did not improve inference for species without any congeners, or those from large genera. The most common approach—assessing congeners—is well suited to identify invaders, particularly for genera with 2–10 established species. While existing phylogenetic information can enhance assessments of invasion risk, biologists and regulators should collaborate to improve nonnative species phylogenies.