bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Capital and Health-Related Quality of Life among Primary Health Care physicians: The mediating role of health-related behaviors
Authors: Wu Zonghao , Gu Zhuoqi , Wei Yukun , Huang Yuankai , Wang Ennan 
Published: November 2024

Abstract

Background
This study aimed to evaluate the correlation between social capital and physicians' health-related quality of life(HRQoL) in primary health care institutions. Simultaneously, we will examine the mediating role of health-related behaviors in the process.
Methods
Data was obtained from a nationwide cross-sectional survey conducted in 2021. Sociodemographic characteristics and health-related behaviors were collected by a self-administered questionnaire. We used the social capital of healthcare organizations reported by employees (SOCAPO-E) scale to measure the social capital and the EuroQol-five dimension-five level (EQ-5D-5L) to measure physicians’ HRQoL. The Tobit model was performed to evaluate the association between social capital and HRQoL. A bootstrap approach was used to assess the mediating effect of health-related behaviors.
Results
The results showed that social capital (β = 0.056, p<0.001) was significantly and positively associated with physicians' HRQoL. Health-related behaviors moderately mediated the relationship between social capital and HRQoL (BootSE = 0.0007, BootCI=[0.0005,0.0032]). In addition, the regression analysis revealed that sex, age, residence, employment form, and chronic diseases were also significantly associated with physicians' HRQoL.
Conclusion
Social capital not only directly affected physicians' HRQoL, but also indirectly affected HRQoL through health-related behaviors. Our findings suggested that investing in social capital may serve as an effective strategy for enhancing physicians' occupational health.
The Dynamic Preparedness Metric: results from a multi-country analysis of health emergency preparedness
Authors: Vernaccini Luca Marco , Bell Cynthia , Gribble Rebecca , Nguni Robert , Samhouri Dalia , Chamla Dick , Talisuna Ambrose , Perehinets Ihor , Nguyen Phuoung Nam , Samuel Reuben , Rocque Stephane de La , Xing Jun , Chungong Stella , Kandel Nirmal 
Published: November 2024

Abstract

Background
The COVID-19 pandemic has underscored limitations in current methods for assessing country-level health emergency preparedness, which often overlook essential factors like ongoing epidemics, natural disasters, conflicts, or community trust. Addressing this, the World Health Organization (WHO) developed the Dynamic Preparedness Metric (DPM), a composite measure that assesses preparedness by accounting for hazards, vulnerabilities, and key risk factors, offering insights for improving country-level capacities.
Methods
Our analysis tested the DPM’s effectiveness in supporting preparedness at global, regional, and national levels, focusing on five acute syndromes. The DPM regional average is calculated from individual country scores, and a one-year trend analysis (from the 1st to 4th quarters of 2023) was conducted globally for all syndromes, and regionally for respiratory syndromes. Additionally, we back-calculated DPM scores from 2018 to 2021 to explore its responsiveness to the COVID-19 pandemic. Underlying standardized indicators were also analysed to pinpoint primary risk factors.
Results
Initial findings highlight substantial variation across countries and WHO regions. Short-term analyses revealed temporal trends in regional risk, while medium-term analyses showed decreased scores and expanded capacity gaps during COVID-19. Primary risk factors identified include health system deficiencies, urbanization, and the prevalence of epidemic-prone diseases, with considerable regional differences.
Conclusions
These results emphasize the importance of a dynamic, risk-informed approach to preparedness assessment. Tracking shifts in hazards, vulnerabilities, and capacities enables countries to refine emergency preparedness and readiness planning, fostering more responsive and effective health security strategies.
Transcriptome Profiling of Eggplant root Under Salt Stress
Authors: Sun Hongmei , Wang Yong , Cao Lianbin , Song Li , Jiang Jun , Li Yan , Zhao Hongxing , Cao Meng , Tian Shilin 
Published: November 2024

Abstract

Background Roots are the initial organs to perceive and adaptively adjust when confronted with salt stress. However, the mechanisms underlying salt stress tolerance in the roots of eggplant remained elusive. We performed transcriptome sequencing on the roots of eggplant under 150 mM NaCl treatment.
Results The results indicated that a total of 3491 differentially expressed genes (DEGs) were identified. Gene Ontology analysis revealed that oxidoreductase activity, catalytic activity, and microtubule-based process were the most enriched terms among the DEGs. Kyoto Encyclopedia of Genes and Genomes analysis revealed that Pentose and glucuronate interconversions and Phenylpropanoid biosynthesis pathways were the most enriched pathways among the DEGs. A pectinesterase (PME)-associated PMEs/PMEIs module may positively participate in the salt tolerance.
Conclusions Taken together, this study provided candidate genes linked to salt tolerance in eggplant roots, offering a foundation for further in-depth study of resistance mechanisms and supporting the development of novel salt-tolerant eggplant varieties with genetic resources and technologies.
R3D: an approach combining cost-sensitive and insensitive classifiers to achieve more balanced scores
Authors: Lima Helton Souza , Fernandes Damires Yluska de Souza , Moura Thiago José Marques 
Published: November 2024

Abstract

Cost-sensitive classifiers have demonstrated to be more cost-effective than traditional classifiers in many real-world classification problems by avoiding high amounts of money loss. This is usually measured by a savings score. On the other hand, these classifiers present, in some cases, a reduction on conventional performance scores such as accuracy, f-score, precision and recall rates. Government applications are included in this segment of problems but, on public domains, the pursuit to the lowest cost is not an exclusive priority. In this light, this work proposes an approach which uses traditional and example-dependent cost-sensitive supervised learning in order to classify requests for revision of a Brazilian tax administration service. This hybrid approach has achieved a better trade-off when considering cost savings, accuracy, f-score, precision and recall in accordance to the business and data rules.
The effects of inhibiting IRE1α on the proliferation of ovarian granulosa cells
Authors: Li Chao , Tan Yong-Peng , Meng Tie-Gang , Gao Di , Xu Ke , Lu You-Hui , Yi Li-Tao , Liu Shu-Chen , wang Guang , Sun Qing-Yuan , Lei Xiao-Can 
Published: November 2024

Abstract

IRE1α, a type I transmembrane protein characterized by a cytoplasmic serine/threonine kinase domain, is related to ER stress and ER function maintenance. In this study, 4µ8c, a highly effective selective inhibitor of IRE1α RNase, and APY29, an ATP competitive inhibitor, inhibiting IRE1α autophosphorylation and the kinase domain, were employed to elucidate the function of IRE1α on the proliferation of ovarian granulosa cells, with the ultimate goal of identifying novel strategies and methodologies for the prevention and treatment of associated diseases. Human ovarian granulosa cells (SVOG) cultured in vitro were treated with the IRE1α inhibitors 4µ8c and APY29. It was shown that inhibition of IRE1α reduced the cell ability of dealing with misfolded protein, triggered oxidative stress, altered mitochondrial membrane potential, and inflicted DNA damage, eventually lead to ovarian granulosa cell apoptosis.
The novel synaptonemal complex central element SCEP3 interlinks synapsis initiation and crossover formation in Arabidopsis thaliana
Authors: Heckmann Stefan , Feng Chao , Lorenz Jana , Dreissig Steven , Schubert Veit , Wang Baicui , Hartmann Franziska , Cuacos Maria , Fernández-Jiménez Nadia , Câmara Amanda Souza , Himmelbach Axel 
Published: November 2024

Abstract

The proteinaceous synaptonemal complex (SC) structure forms between meiotic homologous chromosomes. Its central region (CR) consists of transverse filament and central element proteins, in Arabidopsis ZYP1 and SCEP1/SCEP2, respectively.
We describe a novel CR protein in Arabidopsis. SCEP3 spatiotemporally overlaps with other CR components and is conserved in plants. In scep3, SC formation, crossover (CO) assurance (minimum one CO per chromosome pair), CO interference (limited closely-spaced CO) and heterochiasmy (male/female CO rate difference) vanish while genome-wide and particularly female CO increase. Compared with other CR proteins, SCEP3 is also critical for some synapsis-independent CO. SCEP3 interacts with ZYP1 but loads onto recombination intermediates independent of other CR proteins. We propose SCEP3’s loading onto recombination intermediates may stabilize and/or recruit further factors such as ZYP1 to a subset of these intermediates designated to form CO. Hence, SCEP3 interlinks SC and CO formation, being structurally likely the plant ortholog of yeast Ecm11.
Coral: a dual context-aware basecaller for nanopore direct RNA sequencing
Authors: Zhu Zexuan , Xie Shaohui , Ding Lulu , Yu Yang , Liu Ling , Sun Yiwen , Li Jianqiang , Ruan Jue 
Published: November 2024

Abstract

Nanopore direct RNA sequencing (DRS) offers distinct advantages for transcriptome analysis over the traditional high-throughput RNA sequencing methods by preserving native RNA modifications, eliminating polymerase chain reaction bias, and simplifying the workflow. However, the high sequencing error rate of nanopore DRS remains a significant hurdle. Here we introduce Coral, a dual context-aware nanopore DRS basecaller designed to enhance the sequencing accuracy. Coral leverages an encoder-decoder network architecture to capture contextual dependencies at both the signal and sequence levels, and employs latent alignment variables to refine the alignment between raw signals and RNA sequences. It delivers up to a 4.48% improvement in accuracy on human RNA samples compared to Oxford Nanopore Technologies' Guppy basecaller. This improved accuracy enables the detection of 23.2% more annotated transcript isoforms. Coral also enhances the downstream haplotype phasing, reducing switch errors by up to 66.5% and Hamming errors by 60%, while phasing 15% more single nucleotide polymorphisms.
New Paenibacillus polymyxa strains isolated from different soils antagonistic to Aspergillus flavus and Fusarium oxysporum protects wheat sprouts from fungal infection
Authors: Gulyaeva Alina , Prazdnova Evgeniya , Mazanko Maria , Inozemtseva Elena 
Published: November 2024

Abstract

In this study, novel Paenibacillus polymyxa strains were isolated from different soils in the Rostov region of Russia and screened for their potential as biocontrol agents against agricultural fungal pathogens. Identification of the strains was confirmed via 16S rRNA gene sequencing, and antagonistic activity assays demonstrated significant inhibitory effects against phytopathogenic Aspergillus flavus and Fusarium oxysporum, indicating promising antifungal properties. To optimize antifungal metabolite production, a range of cultivation media and conditions were tested. Media with high protein content, such as LB and soy-based formulations, supported the highest levels of antifungal activity, whereas protein-deficient media showed markedly reduced effectiveness. Different application methods, including liquid suspensions and solid-phase fermentation, were also tested to determine the most effective method for crop protection. Vegetation experiments demonstrated that soil treatment with a solid-phase preparation containing P. polymyxa spores at a concentration of 107 CFU/g significantly reduced Fusarium infection in wheat sprouts without impacting plant growth. Vegetation experiments confirmed the antifungal effects of these Paenibacillus preparations, effectively reducing Fusarium. These findings highlight the potential of these newly characterized P. polymyxa strains as effective biological fungicides for sustainable agriculture.
Digital Fitness Companion: A Configuration Method Based on Hierarchical Regression and fsQCA to Study the Driving Mechanism of Sports Fitness App Features Empowering College Students' Physical Exercise Behavior
Authors: Qiu Cheng , Yin Yao , Zhang Chong 
Published: November 2024

Abstract

Objective
The purpose of this study is to explore how the characteristics of sports and fitness apps empower the driving mechanism of college students' physical exercise behavior, with a focus on the role of system quality, information quality and service industry quality in promoting a healthy lifestyle. The method combines hierarchical regression analysis and fuzzy set qualitative comparative analysis (fsQCA) to analyze the data of college students, in order to reveal the influence patterns of different App features on physical exercise behavior.
Results
The study found that system availability, real-time feedback, perceived fun, perceived usefulness and interactive socialization constitute four key configuration paths, collectively explaining approximately 55.2–59.1% of positive physical exercise behavior. System availability and real-time feedback have a significant positive predictive effect on physical exercise behavior. Perceived fun emphasizes the importance of gamified design, while perceived usefulness and interactive socialization highlight the key role of service value and social interaction in promoting healthy behavior.
Conclusion
This study provides a strategic direction for the design of fitness apps, which requires comprehensive consideration of technical characteristics, user perceived value and social interaction to promote the formation and sustainability of a healthy lifestyle among college students. The research results not only provide a design basis for App developers, but also provide practical inspiration for health educators, emphasizing the potential value of digital fitness companions in the field of health promotion.
From Discounts to Delivery: Decoding Customer Care Interactions in Warehousing
Authors: Leogrande Angelo 
Published: November 2024

Abstract

The present research has delved deeper into the complex relationship of customer care calls with purchasing behavior in a WM system and has developed actionable insights to optimize operations. In this regard, the following critical factors have been considered: product attributes-cost, weight, and discount-on one hand, and delivery performance in terms of timeliness and reliability on the other, with a view to understand their impacts on customer satisfaction and interactions. Key takeaways are that high volumes of customer care calls reflect operational failure; there is a delay or expectation mismatch, and hence one needs strong process optimization. Also, heavy products, since perceived to be reliable, have fewer customer enquiries; lighter, cheap products cause more frequent queries since impulsive buying and lack of information occur. It further identifies timeliness of delivery as a main determinant of customer satisfaction while delays in delivery result in heightened discontent and rising demands for support. The study underlines the strategic relevance of advanced analytics, machine learning, and real-time monitoring to finally resolve the recurring inefficiencies. This may also be a good basis on which recommendations could be made concerning the use of predictive analytics for demand forecasting, effective logistical frameworks, and methods of customer service that would be in line with product-specific needs. Discounts become a two-edged factor: enhancing satisfaction but threatening brand value when used too frequently. In the end, strategies with discounts should be put into balance, proactive customer engagement should be there, with crystal clear communications with them, and the products to be more correctly described. The given study also identified how a warehouse clears the expectation from customers by applying data-driven strategies for better efficiency, customer satisfaction, and long-term loyalty. The above findings provide a comprehensive road map on how to integrate technology and customer-centric strategies in modern warehouse management.
JEL CODE: L9, L90, L91, L92, L93.
A Clinical study of CA15-3 and some other Hematological Parameters in Diagnosis of Breast Cancer patients in Al-Amal Hospital/Iraq
Authors: Mohaibes Mohammed , Hameed Mayada , Muhaibes Fakhria 
Published: November 2024

Abstract

Background
Breast cancer encompasses various subtypes of tumors with distinct molecular characteristics, with distinct molecular and cellular origins and clinical behaviors. Most of them are the origin of ductal or lobular epithelial tumors. Globally, it is the most common malignant disease of women diagnosed every year and the second leading cause of death in women worldwide. The aim of this study was to evaluate CA15-3 and hematological parameters as useful markers to distinguish between patients with breast cancer and healthy individuals.
Methods
The case-control study took place at Al-Amal National Hospital in Baghdad Governorate, Iraq, over the course of three months, from mid-November to the end of February. It involved drawing sixty blood samples, divided into two groups. 100 women with instances of breast cancer made up the first group (A), while 50 healthy women made up the control group in the second group (B). Every study participant gave their authorized consent. The blood samples were collected from each woman included in this study for the estimation of CA15.3 using Cobas e411, and hematological parameters were analyzed using the Sysmex KX-550TM automated hematology analyzer system.
Result
The difference between the BC patients and the control group was significant in Ca15-3 (P ≤ 0.01). Also, there was a moderate difference between the two groups in WBC, RBC and PLT parameters (P ≤ 0.05). Meanwhile, the two groups had a minimal difference in LYM parameter (P ≤ 0.05). On the other hand, there was no significant difference between the BC patients and the control group in Hb, PCV, NEUT, Mono, EOSi, and basophil counts (P ≤ 0.05).
Comparison Between Electrical Cardiometry and Ultrasound Chest in Assesment of Lung Water in Mechanical Ventilated Patients
Authors: Kods Abanoub , Zaitoun Taysseer Mahmoud , Zidan Dina Hassan , Elsalamouny Mohammed Raafat 
Published: November 2024

Abstract

Background: Premature weaning from mechanical ventilation may lead to extubation failure, however, it is advised to wean patients from it earlier to prevent the problems of extended continuous ventilation.
Aim of the study: This study aimed to compare electrical cardiometry and lung ultrasound in assessing lung water as predictors of weaning from invasive mechanical ventilation in patients with preserved ejection fraction heart failure (HFpEF) by measuring thoracic fluid content (TFC) by cardiometry and B lines by ultrasound.
Patients & Methods: This research comprised 70 mechanically ventilated studied cases diagnosed with HFpEF, deemed suitable for weaning, and admitted to the Critical Care Medicine Department at Alexandria Main University Hospital between February 2023 & February 2024. All enrolled patients underwent electrical cardiometry for measuring (TFC) and lung ultrasound to measure B lines. Weaning failure was characterized by the necessary for reintubation within forty eight hours post-extubation. Patients were segregated into two categories: those who successfully weaned and those who experienced weaning failure. Both groups were then compared based on the study's outcomes.
Results: In this study, 52 (74.28%) patients underwent successful weaning, while 18 (25.71) patients underwent failed weaning. B lines were significantly higher in failed weaning group (18.14 ± 2.35) vs (7.48 ± 2.1) in successful weaning group. They can significantly predict weaning failure (AUC=0.878, P value<0.001). The suggested cut-off value (>12) showed 72,2% sensitivity, 96,2% specificity. TFC (kΩ−1) was significantly higher in failed weaning group (61.47 ± 5.16) vs (42.50 ± 10.47) in successful weaning group. TFC was a significant predictor of failed weaning from mechanical ventilation (AUC=0.950, P value<0.001). The suggested cut-off value (>52.8 kΩ−1) gave 94% sensitivity, 86% specificity. For B lines, it
Conclusion: Both TFC and B-lines are safe, sensitive, noninvasive tool in the assessment of lung water in mechanically ventilated patients and are good predictors of failed weaning from mechanical ventilation.
Evaluation of hardened property variations in M25 and M30 concrete with different types of coarse aggregates
Authors: Singh Lakhvinder , Vikram Ajay 
Published: November 2024

Abstract

This study aims to find out how the type and size of materials used in concrete impact its physical properties. In our experiment, we will use three types of aggregate material crushed and river aggregate in two different sizes: 20mm, and 10mm. We will mix these with regular cement to hold everything together. We will make concrete mixtures for two quality levels, M25 and M30, using each type and size of material. Next, we will test samples of these mixtures to see how much compressive strength they can handle after 7 and 28 days. Aggregates, which are often overlooked, play a crucial role in concrete, forming its foundation. These inert granular materials, including sand, gravel, and crushed stone, combine with water and a binding agent to create concrete. Knowledge of aggregate behaviour aids engineers in preparing concrete that satisfies definite requirements such as high strength, durability or sustainability. The results of these studies will help us understand how different types and sizes of aggregates influence the physical properties of concrete. By comparing these factors, we aim to determine the most suitable aggregate type and size for each concrete strength level.