bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climate Change Advocacy and Cancer Clinical Trial Organisations
Authors: Myoo nay , weadick catherine , murphy lucy , o'reilly seamus 
Published: March 2024

Abstract
Climate change is a threat to human health; equally health care is a threat to climate change as it accounts for 4% of greenhouse gas emissions and 30% of the world’s electronically stored data. 350,000 international trials are registered on ClinicalTrials.gov with ~ 27·5 million tonnes of emissions (equivalent to half of annual Danish emissions). In September 2023 we assessed climate awareness among cancer clinical trial organisations via a web-based scoping exercise. Seventy-five organisations were identified of whom 46 had search tools on their websites. Eight out of 46 clinical trial groups had at least one parameter of commitment to climate change, and 38 organisations had none. Of 46 websites, 5 had climate change position statements or policies, 4 had a committee or task force, 1 provided patient education resources for climate change via video link, 7 included green initiative advice and 8 had publications addressing climate change. Only 5 were listed as members of Climate Change Consortiums. Based on website assessment climate advocacy among cancer clinical trial organisations is low, and efforts to encourage climate engagement are needed.
Triplet Carbenes with Transition-Metal Substituents
Authors: Schneider Sven , Lv Ze-Jie , Eisenlohr Kim , Naumann Robert , Reuter Thomas , Verplancke Hendrik , Demeshko Serhiy , Herbst-Irmer Regine , Holthausen Max , Heinze Katja 
Published: March 2024

Abstract

The extraordinary advances in carbene (R1–C–R2) chemistry over the past 30 years have been fueled by the introduction of efficient strategies to stabilize the electronic singlet state via p-bonding interactions with the substituents (R1, R2).1–4 In contrast, the lack of similarly efficient approaches to authentic triplet carbenes with appreciable lifetimes beyond cryogenic temperatures hampers their exploitation in synthesis and catalysis.5 Transition-metal substitution represents a potential strategy,6 but thus far metallocarbenes (M–C–R) usually represent high-lying excited electronic configurations of the well-established carbyne complexes (M ≡ C–R). We here report the photochemical synthesis and characterization of persistent triplet metallocarbenes (M–C–SiMe3, M = PdII, PtII). The carbon-centered diradicals exhibit selective reactions in solution and in the solid state, such as carbene C–H insertion and carbonylation. Bond analysis revealed significant stabilization by spin-polarized push and pull interactions along both π-bonding planes, which fundamentally differs from bonding in push/pull singlet carbenes. This bonding model, thus, expands key strategies for stabilizing carbenes towards the open-shell analogues and closes a conceptual gap to carbyne complexes. We anticipate that the introduction of closed-shell transition-metal substituents to triplet carbenes will facilitate their exploitation in chemical synthesis based on the well-developed principles of coordination chemistry.
Correlation between Chronic Low Back Pain and Anthropometric Indices in the Elderly (aged 60–69 years): A Cross-Sectional Study
Authors: Wang Xiaodong , Zhang Xin , Wang Dehong , Yan Juntao , Ma Li 
Published: March 2024

Abstract
The purpose of this study was to determine relationships between chronic low back pain (CLBP) and anthropometric indices in the elderly.A total of 430 individuals with ages ranging from 60 to 69 years participated in this cross-sectional study.Anthropometric measurements, including height and weight; waist and hip circumference; and upper arm skinfold, scapular skinfold, and abdominal skinfold thicknesses were measured. Body mass index (BMI) and waist-to-hip ratio (WHR) were calculated.To evaluate functional aspects pertaining to subjects while living with CLBP, the Oswestry Disability Index (ODI) was used.Among the elderly, no statistically significant difference was found in height, body mass; BMI; chestand waist, hip circumference; WHR; upper arm skinfold, scapular skinfold, and abdominal skinfold thicknesses between the elderly with CLBP and those without CLBP. Mann–Whitney U-test revealed no statistically significant difference in BMI, WHR, and weight, chest circumference between the elderly with CLBP and those without CLBP.Spearman rank correlation analysis showed that CLBP of the elderly was not correlated with height, weight, BMI, and chest circumference.Among the elderly, the ODI score of CLBP was statistically positively correlated with abdominal skinfold thickness (rs = 0.165, P = 0.037) and with WC (rs = 0.200, P = 0.012). Abdominal obesity is significantly associated with functional status in the elderly (aged 60–69 years) with CLBP.
Exploring the challenges of avoiding collisions with virtual pedestrians using a dual-task paradigm in individuals with chronic moderate to severe traumatic brain injury
Authors: Sousa Thiago de Aquino Costa , Gagnon Isabelle J. , Li Karen Z.H. , McFadyen Bradford J. , Lamontagne Anouk 
Published: March 2024

Abstract
Background: Individuals with a moderate-to-severe traumatic brain injury (m/sTBI), despite good locomotor recovery after six months post-injury, face challenges in adapting locomotion to the environment. They also present with altered cognitive functions, which may impact dual-task walking abilities. Whether they present collision avoidance strategies with moving pedestrians that are altered under dual-task conditions, however, remains unclear. This study aimed to compare between individuals with m/sTBI and age-matched control individuals: (1), the locomotor and cognitive costs associated with the concurrent performance of circumventing approaching virtual pedestrians (VRPs) while attending to an auditory-based cognitive task and; (2) gaze behaviours associated with VRP circumvention task between single and dual-task conditions.
Methodology: Twelve individuals with m/sTBI (age=43.3±9.5 yrs; >6 mo. post injury) and 12 healthy controls (CTLs) (age=41.8±8.3 yrs) were assessed while walking in a virtual subway station viewed in a head-mounted display. They performed a collision avoidance task with VRPs, as well as auditory-based cognitive tasks (pitch discrimination and auditory Stroop), both under single and dual-task conditions. Dual-task cost (DTC) for onset distance of trajectory deviation, minimum distance from the VRP, maximum lateral deviation, walking speed, gaze fixations and cognitive task accuracy were contrasted between groups using generalized estimating equations.
Results: In contrast to CTLs who showed locomotor DTCs only, individuals with m/sTBI displayed both locomotor and cognitive DTCs. While both groups walked slower under dual-task conditions, only individuals with m/sTBI failed to modify their onset distance of trajectory deviation and maintained smaller minimum distances and smaller maximum lateral deviation compared to single-task walking. Both groups showed shorter gaze fixations on the approaching VRP under dual-task conditions, but this reduction was less pronounced in the individuals with m/sTBI. A reduction in cognitive task accuracy under dual-task conditions was found in the m/sTBI group only.
Conclusion: Individuals with m/sTBI present altered locomotor and gaze behaviours as well as cognitive performances when executing a collision avoidance task involving moving pedestrians, especially under dual-task conditions. Potential mechanisms explaining those alterations are discussed. Present findings highlight the compromised complex walking abilities in individuals with m/sTBI who otherwise present a good locomotor recovery.
Malnourishment or at Risk of Malnutrition in the Elderly and the Helping Relationship Competencies of the Family Health Team: A Cross-Sectional Mixed Design Study
Authors: Taveira Adriana , Costa Patrício , Lamego Ana , Ferreira Marlene , Macedo Ana Paula 
Published: March 2024

Abstract

Objective: To provide the first association between elderly malnutrition or at-risk and the helping relationship competencies of their Family Health Team (FHT).
Methods: A cross-sectional mixed design was conducted with 371 community elderly through the Mini-Nutritional Assessment (MNA), and a second to the elder's FHT using the Inventory of Helping Relationship Competencies (ICRA). Multivariate analyses were performed for quantitative data. Qualitative sources were analyzed by content analysis.
Results: A combined prevalence of 29.2% malnourished or at-risk at Primary Health Care (PHC) was observed, with differences between gender (p=.048), age (p<.001), marital status (p=.023), educational level (p=.020), and diabetes (p=.007). Logistic regression demonstrated that age (OR=1.07), cohabitation (OR=0.372), diabetes (OR=2.85), and FHT's empathic competencies (OR=0.869) were the strongest determinants of malnutrition or at-risk.
Conclusion: The participants confirmed the lack of nutritional assessment training. Although, malnutrition is underdiagnosed at PHC, the FHT's empathic skill in reducing the phenomenon is highlighted.
Software Engineering Team Evaluation: Decision Support System to Predict the Monitor Team Activities
Authors: Dahri Fida Hussain , Chandio Jamil Ahmed , Laghari Asghar Ali , Channa Irfan Ali 
Published: March 2024

Abstract
Due to rapid changes in user requirements (UR), it is a challenging task for software engineers to cope with the sudden software customization requirements (SSCR). The incremental process model (IPM) provides a dynamic approach for analysing, designing and implementing a particular software unit (SU), but the successful deployment requires customer satisfaction as per UR by following the SSCR. For example, during each phase every development team member (DTM) is assigned some particular tasks to accomplish, but it is difficult to determine the team members’ behaviour and performance (TMBP). A successful implementation of customized software would provide more opportunities for a particular company to attract a maximum number of users by using SSCR. Some very nice approaches have been seen over the past two decades to predict DTM to assess their accomplished activities TMBP. This paper proposes a system by offering three layered methodology where first layer is designed for data pre-processing and in the second layer construct the decision model by using ensemble machine-learning technique however the third layer used for result visualization. This paper contributes (a) a novel decision support system to understand the TMBP for the waterfall process model (b) IPM and (c) best classification accuracy 94.14%.
Psychometric validation of the Depression Anxiety Stress Scale for Youth (DASS-Y) in Arabic and development of an Abridged Version (DASS-Y-12)
Authors: Obeid Sahar , Kanj Gaelle , Ali Amira Mohammed , Khoury Marie-Anne El , Malaeb Diana , Sakr Fouad , Dabbous Mariam , Hallit Rabih , Hallit Souheil , Fekih-Romdhane Feten 
Published: March 2024

Abstract

Background
To better target the treatment of affective disturbances and improve the effectiveness of programs for prevention and intervention, the need for a reliable and valid measuring tool for the assessment of depression, anxiety, and stress among youth is notable. Therefore, the primary aim of the present study was to evaluate the psychometric properties of the Depression Anxiety Stress Scale for Youth (DASS-Y) 21 items within a non-clinical sample of Arabic-speaking adolescents from Lebanon. The secondary aim was to develop and validate a new shortened version of the DASS-Y composed of 12 items (DASS-Y-12).
Methods
Seven hundred fifty-eight participants completed the survey, with a mean age of 15.95 ± 1.78 years and 63.2% females. The forward and backward translation method was applied with the approval of the original developers of the scales.
Results
CFA indicated that the fit of the three-factor model of the DASS-Y and the DASS-Y-12 was excellent. Internal reliability of the scale was excellent for depression, anxiety and stress in the long and short forms. Indices suggested that configural, metric, and scalar invariance was supported across gender in the long and short forms. Higher suicidal ideation and lower academic performance were significantly associated with higher depression, anxiety and stress as assessed by the DASS-Y and the DASS-Y-12.
Conclusion
The present findings indicate that the validated Arabic version of the DASS-Y, and the developed-shortened version DASS-Y-12 are reliable, valid, easy-to-use and low-cost tool to assess depression, anxiety, and stress among Arabic-speaking adolescents. Making those scales available in Arabic will hopefully stimulate research in this field within Arab countries, benefiting the struggling youth in these contexts.
Circulating immune cells and multiple myeloma: A mendelian randomization study
Authors: Zhang Zexin , Muhetaer Gulizeba , Xiahou Zhikai , Han Jun , Song Yafeng 
Published: March 2024

Abstract
Objective
Multiple myeloma (MM) is a malignant proliferative disease of plasma cells. Although plasma cells play an important role in this process, their relationship with other circulating immune cells has not been systematically investigated.
Methods
The single nucleotide polymorphism (SNP) data of 721 circulating immune cells and MM were obtained from GWAS summary data. After meeting the three assumptions of mendelian randomization (MR), we used inverse-variance weighted (IVW) as the main method to evaluate the causal association between the two. For positive results, we used multivariable mendelian randomization (MVMR) for adjustion and performed reverse MR analysis to assess the stability of the results.
Results
A total of 3 circulating immune cells are causally related to MM. Among them, Naive CD8 + T cell %T cell (IVW OR: 1.00123, 95%CI: 1.00015–1.00231, P value: 0.02518), Natural Killer T Absolute Count (IVW OR: 1.00062, 95%CI: 1.00006-1.00118, P value :0.03075) was a risk factor for MM, and CD28 + CD45RA + CD8 + T cell %T cell (IVW OR: 0.99993, 95%CI: 0.99987-1.00000, P value: 0.03549) was a protective factor for MM. This result remained stable in the MVMR analysis. Among them, Naive CD8 + T cell %T cell (IVW OR: 1.00200, 95%CI: 1.00058–1.00343, P value: 0.00586), Natural Killer T Absolute Count (IVW OR: 1.00051, 95%CI: 1.00002-1.00101, P value : 0.04225) was a risk factor for MM, and CD28 + CD45RA + CD8 + T cell %T cell (IVW OR: 0.99913, 95%CI: 0.99860–0.99967, P value: 0.00158) was a protective factor for MM. No reverse causal relationship was found between MM and these 3 circulating immune cells.
Conclusions
There was a causal association between 3 circulating immune cells and MM, which may provide a new strategy for the prevention and treatment of MM. Further randomized controlled studies are still needed to further elucidate their relationship.
Comparative analysis of commercially available metagenomic kits for optimal DNA extraction from bovine fecal samples
Authors: PS Seethalakshmi , Kumaresan T. N , RU Vishnu Prasad Nair , Ragothaman Prathiviraj , Kiran George Seghal , Selvin Joseph 
Published: March 2024

Abstract
In the field of metagenomic research, the choice of DNA extraction methods plays a pivotal yet often underestimated role in shaping the reliability and interpretability of microbial community data. This study delves into the impact of five commercially available metagenomic DNA extraction kits on the analysis of bovine fecal microbiota. Recognizing the centrality of accurate DNA extraction in elucidating microbial community dynamics, we systematically assessed DNA yield, quality, and microbial composition across these kits. Notably, the FastDNA spin soil kit yielded the highest DNA concentration, while significant variations in quality were observed across kits. Furthermore, differential abundance analysis revealed kit-specific biases, impacting taxa representation. Microbial richness and diversity were significantly influenced by the choice of extraction kit, with QIAamp DNA stool minikit, QIAamp Power Pro, and DNeasy PowerSoil outperforming the Stool DNA Kit. Principal-coordinate analysis revealed distinct clustering based on DNA isolation procedures, particularly highlighting the unique microbial community composition derived from the Stool DNA Kit. Differential abundance analysis showcased kit-specific biases, influencing taxa representation. This study also addressed practical implications, demonstrating how kit selection influences the accurate identification of spiked bacteria. In essence, our research highlights the need for meticulous consideration of DNA extraction kits in metagenomic studies, offering valuable insights for researchers striving to advance the precision and depth of microbiota analyses in animals.
Gender Differences in the Influence of Time Spent Online on Early Maladaptive Schemas and Life Satisfaction: Internet addiction as a mediator
Authors: Ostovar Shahla , Bagheri Reyhaneh , Griffiths Mark D. , Mohajer Leila , Hashima Intan Hashimah Mohd 
Published: March 2024

Abstract

Purpose
The present study investigated the contribution of internet addiction (IA) as a mediator in the relationships between time spent online on early maladaptive schemas (EMSs) and life satisfaction (LS) among a sample of Iranian adults.
Methods The sample comprised 489 Iranian adults aged 19 to 62 years who completed an online survey. The data were analyzed using Structural Equation Modelling (SEM) with AMOS 26.0.
Results
The results confirmed the positive effect of time spent online on EMSs and IA and the negative effect of time spent online on LS. IA was positively associated with EMSs, which in turn, were negatively associated with LS. EMSs were also negatively related to LS. Further analyses showed that the relationship between time spent on online activities and EMSs and IA was higher among males.
Conclusion
The findings highlight a direct and indirect association between time spent online and IA in enhancing EMSs and diminishing LS among adults. The present study suggests consideration of the gender-specific components in the development and implementation of Internet addiction prevention programs.
Multimarket Contact, Competition and Performance: an Application on Turkish Deposit Banks
Authors: başar berna doğan , ekşi ibrahim halil 
Published: March 2024

Abstract
Purpose- The main purpose of this study is to analyze how multi-market contact affects bank risk and performance. Identifying the factors affecting the risk and performance of banks is very important for the country's economy globally, and determining this may be useful for banks and financial regulators in terms of preparation for possible crises.
Design/methodology/approach- Deposit banks that were continuously operating in the Turkish banking system between 2012 and 2021 were included in the research. The banking industry, when considered as firms offering many homogeneous products and services in various geographic markets, provides a very fertile laboratory environment for testing the theory of mutual avoidance.
Findings- The results show that the process experienced in the Turkish banking sector in recent years has increased the competition between banks. In this process, multi-market contact has a positive effect on the asset quality of banks; It has been observed that it has a negative impact on profitability, performance and bankruptcy risk. Although competition is thought to make banks, as in all businesses, more resistant to financial crises and corruption by improving their corporate governance structures and audit structures, this study concluded that competition negatively affects their financial performance.
Originality/value- There are a few studies in the relevant literature that test multi-market contact and investigate how multi-market contact affects profitability and risk. Therefore, a detailed examination of the impact of the banking sector's multi-market contact on performance and risk will make a significant contribution to the international banking literature.
A comparative study for two Novel Optimization Algorithms used to solve Microgrid Energy Management problem considering Energy Storage System
Authors: Hassanin Karim M. , Abdel-Rahim Omar , Mansour Diaa-Eldin A. , Kato Takeyoshi , Megahed Tamer F. 
Published: March 2024

Abstract

In this paper, an optimization solution is introduced to address an Energy Management problem for a Microgrid comprising Photovoltaic arrays, Wind Turbines, Combined Heat and Power units, and a Battery Energy Storage System. The goal is to establish an optimal Energy Management System that minimizes operational costs by efficiently dispatching the required load demand among the available electricity resources. Traditionally, Diesel generators have served as the main source of load supply in microgrids. However, the integration of renewable energy sources and storage systems into microgrids has led to a decrease in electricity generation costs and an enhanced ability to reduce harmful emissions from conventional resources. Given the intermittent nature of renewable resources, the existence of diverse distributed generators with varying operational costs, and the fluctuating electricity consumption patterns, there is a continuous demand for a robust Energy Management System. Such a system enables grid operators to maintain a cost-effective, efficient, and reliable balance between supply and demand. Consequently, optimization algorithms have become indispensable for developing the most efficient Energy Management System. This study utilizes the Political Optimizer and Pelican Optimization Algorithm to tackle the Energy Management problem in the microgrid. The primary objectives of these innovative optimization algorithms are to minimize operational costs, ensure supply-load balance, and increase the penetration of renewable resources for electricity generation in the microgrid. Through extensive numerical results and statistical analyses, the effectiveness and superiority of the proposed optimization algorithms are demonstrated. The outcomes illustrate cost reductions of up to 25% compared to conventional algorithms. Thus, it is evident from the results and statistical analyses that the Political Optimizer and Pelican Optimization Algorithms exhibit the capability to efficiently address various optimization challenges and deliver optimal results in the initial iterations.