bluuebunny/crossref_metadata_2025_split huggingface dataset:
Divergent Responses of Historic Rain-on-Snow Flood Extremes to a Warmer Climate
Authors: Hao Dalei , Bisht Gautam , Xu Donghui , Kumar Mukesh , Leung L. Ruby 
Published: January 2025

Abstract

Global warming is expected to shift high-impact flood risks induced by rain-on-snow (ROS). However, decision-makers lack guidance on how impactful events resembling historic ROS extreme floods with destructive consequences would unfold in a warmer climate. Using a kilometer-scale storyline analysis, we examine warming-induced changes in four historically-significant, decision-relevant ROS extreme flood events over the contiguous United States. The runoff of different extreme events shows divergent responses to a warmer climate due to altered water budget. Notably, the basin-wide runoff of 2017-Jan California flood event (2017CA-Jan) increases by ~53%/K. Warming shifts flood generating regimes along the elevation profile. Driven by increasing rainfall and snowmelt, high elevations could experience significantly increased runoff and unprecedented floods in a warmer climate. For 2017CA-Jan, runoff increases at ~162%/K over the regions above 1500 m. Low elevations encounter a shift in the flood regime from ROS-driven to rainfall-dominated due to increasing rainfall and diminished snowmelt. These underscore needs for a warming-adaptive, regime-customized strategy for flood control.
Intrapleural injection of Folactis promotes regression of malignant pleural effusion: a case of malignant pleural mesothelioma and the review of literatures
Authors: Ding Naiqing , Su Shu , Liu Baorui , Wang Lifeng 
Published: January 2025

Abstract

Malignant pleural mesothelioma is an aggressive and lethal malignancy that arises from the mesothelial cells lining the pleura. Diagnosis commonly occurs at an advanced stage, rendering patients unsuitable for surgical intervention. Pharmacological interventions have shown limited success in controlling the disease. In the present study, we present a case of malignant pleural mesothelioma with large pleural effusion, demonstrating elevated expression of PD-L1 (TPS 90%) and focal amplification of the MET gene (GCN:33.54). Unfortunately, the patient failed to respond to both anti-PD-1 immunotherapy and MET-targeted therapy. Although high-level expression of PD-L1 as well as MET alterations have been proven to be positively correlated with the efficacy of immunotherapy and MET inhibitors in other tumors, our case didn’t prove the tumor agnostic strategy in this scenario. Despite the rapid progress of the tumor, the pleural fluid of the patient was effectively managed following the intrapleural administration of FOLactis. It indicates that FOLactis has strong pleural fluid control ability and may not dependent on systemic immune response, even in highly malignant tumors. Besides, there is still a much greater need to undermine the molecular biological mechanisms and precision treatment in MPM.
Application effect of YOLOv8 algorithm combined with AIFI technology in insulator detection of power system
Authors: Tang Hao , Chen Faming , Feng Zhipeng , He Lingzhi , Wu Wenxuan 
Published: January 2025

Abstract

In power systems, insulators are critical components whose damage or failure can lead to equipment malfunctions or power interruptions, presenting significant challenges for operation and maintenance. Traditional manual inspection methods are inefficient and prone to human error, failing to meet the high-precision and high-efficiency demands required for fault detection in modern power systems. To address this, the present study proposes combining the YOLOv8 algorithm with AIFI technology for the intelligent detection and fault diagnosis of insulators in power systems. The mean average accuracy (MAP) of the YOLOv8 algorithm before improvement is 0.919, with a model weight of 6.3MB. After integrating AIFI technology, the MAP of the model increased to 0.921, and the weight slightly decreased to 6.1MB. AIFI technology enhanced YOLOv8’s detection accuracy and robustness in complex environments by improving data quality, optimizing fault recognition, and reducing false positives and false negatives. The improved system provide a more accurate and efficient solution for health monitoring and fault diagnosis of power equipment.
Improving Employability: The Role of Cross-Cutting Competences in Vocational Education Outcomes
Authors: Baláž Vladimír , Dokupilová Dušana 
Published: January 2025

Abstract

Vocational education and training (VET) is often seen as a pathway to faster and better employment outcomes in comparison to general secondary education. However, the school-to-job transition remains complex, influenced by regional-, institutional- and individual-level factors. This paper evaluates the effects of the Slovak ‘Linking Secondary Education and Practice’ scheme, designed to improve success rates in secondary VET by enhancing cross-cutting literacy competences such as reading and mathematical skills. The study covers 25,219 students from 74 schools, spanning diverse contexts including developed and underdeveloped regions, and lower versus upper secondary vocational education. Using a combination of difference-in-differences (DiD) and the synthetic control method (SCM)—a novel approach for evaluating individual VET school performance—this research examines the determinants of school-to-job transitions at both regional and study field levels. The findings reveal significant disparities in VET outcomes based on programme type, field of study, and level of regional development. Vocational schools in underdeveloped regions exhibit weaker outcomes in comparison to their developed counterparts, underlining the importance of regional contexts in VET policy effectiveness. The research results indicate that the intervention worked best for the service-oriented fields in the lower secondary programme and/or in the poorest Slovak regions. The study contributes to the literature by offering a granular analysis of vocational education outcomes, providing evidence at the regional, study field, and programme levels.
The COVID-19 Paradox of Prevention Scale: Paradoxical Attitudes towards Preventive Behaviors Decrease Vaccination Willingness
Authors: Schnepf Julia , Groeben Norbert 
Published: January 2025

Abstract

Paradoxical views on the merit of preventive behaviors such as social distancing or vaccination have been spread during different stages of the COVID-19 pandemic. In this article, we present the newly developed Paradox of Prevention Scale measuring such paradoxical anti-prevention attitudes in the context of the COVID-19 pandemic. The scale covers people’s paradoxical views on the purpose of preventive measures in the pandemic. We used data of five cross-cultural studies conducted at different phases of the COVID-19 pandemic (N = 1,545). Exploratory factor analyses revealed that the new scale was robust and showed the same two-factorial pattern across all samples. It was positively correlated with distrust in science and conspiracy mentality, and significantly improved the prediction of people’s vaccination willingness. Hierarchical regression models showed that the Paradox of Prevention Scale explained the highest amount of variance when predicting vaccination willingness. We think that the scale can be useful for researchers from different disciplines investigating the interplay between psychological variables and vaccination behavior.
Intercropping of tobacco and maize promoted growth by enhancing nutrient uptake mediated by rhizosphere interaction
Authors: Dou Min , Zhao Peiyan , Xu Zhaoli , Yang Xiuhua , Ma Junmei , Liu Yating , Li Junying , Yin Honghui , Zhang Guozhong , Xu Zhuling , Nian Fuzhao , Deng Xiaopeng , Liu Di 
Published: January 2025

Abstract

Rational intercropping promotes crop growth, and maize is widely interplant in the field during the tobacco-curing period in Southwest China. However, the effects of rhizosphere interactions between the two crops and their mechanisms of nutrient uptake and utilization are not clearly understood. This study aimed to analyse the effects of sufficient rhizosphere interaction between tobacco and maize vegetative stage on nutrient absorption and utilization, and crop growth via a pot experiment. It integrated microbiomics with widely targeted metabolomics to explore the effects of soil microbial communities and rhizosphere metabolites using high-throughput sequencing and LC-MS/MS platforms. The results showed that crop intercropping significantly increased the biomass of tobacco plants, nitrogen (N) and phosphorus (P) accumulation, and the accumulation of N in the aboveground parts (leaves and stems) and potassium (K) in both the aboveground and underground parts (roots) of maize, compared with monoculture. Additionally, intercropping with tobacco enhanced the contents of alkali-hydrolyzable N, available P, and available K, and the activities of sucrose, catalase, urease, and acid phosphatase in maize rhizosphere soil, as well as enhanced the pH value, available K content, and the activities of sucrose, catalase, and nitrate reductase in tobacco rhizosphere soil. Significant differences were observed in the composition and distribution of dominant microbial communities in crop rhizosphere soil between different planting patterns. In the intercropping system, the relative abundance of Arthrobacter, Subgroup_7, and Dactylellina in maize rhizosphere soil, as well as that of Gemmatimonas, Sphingobium, and Myrmecridium in tobacco rhizosphere soil were significantly increased. Moreover, the intercropping has also elevated the number of bacterial and fungal ASVs in the rhizosphere soil of both crops. The metabolites of choline alfoscerate and acetyl-L-carnitine showed translocation between the rhizospheres of tobacco and maize in the intercropping system. Differential metabolites in tobacco rhizosphere soil were significantly enriched in the diterpenoid biosynthesis pathway, whereas those in maize rhizosphere soil were enriched in pathways related to starch and sucrose metabolism, linoleic acid metabolism, ABC transporters, flavonoid biosynthesis, and galactose metabolism. These findings suggested that the rhizosphere interaction between tobacco and maize vegetative stage enhanced soil N, P, and K nutrient availability through alterations microbial community and metabolite composition, thereby promoting crop growth.
A Cybersecurity-Centric Model for Predicting Electronic Health Records System Adoption for Sustainable Healthcare: A SEM-ANN Approach
Authors: Ibrahim Muhammed , Al-Sharafi Mohammed A. , Albashrawi Mousa , Mahmoud Moamin A. 
Published: January 2025

Abstract

Electronic Health Records (EHR) systems are critical for achieving healthcare sustainability, offering benefits such as improving care of the patient, enhanced management of data, and operational efficiency. Despite these advantages, the adoption of EHR systems remains a challenge, influenced by various technological, organizational, and individual factors. This study builds upon the UTAUT2 framework by incorporating cybersecurity considerations to offer a more comprehensive understanding of EHR adoption and its role in promoting sustainable healthcare. Data were collected from 374 healthcare professionals through purposive sampling and analyzed using a hybrid approach combining Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN). The findings demonstrate that EHR use plays a key role in advancing healthcare sustainability by improving organizational efficiency and long-term resilience. Key factors influencing EHR adoption include confidentiality and possession/control, underscoring the importance of data privacy, security, and system ownership. Performance expectancy and social influence significantly impact adoption decisions, reflecting the role of usability, peer influence, and organizational dynamics. Additional factors such as integrity and facilitating conditions showed moderate importance, while hedonic motivation and availability were less critical. This study contributes to EHR adoption research by integrating cybersecurity and user experience factors, offering insights for healthcare organizations and policymakers. The findings highlight the need to prioritize data security and usability to enhance adoption. Future research could explore EHR adoption in diverse settings and examine evolving adoption dynamics.
Two novel genetic variants in WFDC2 gene from patients with bronchiectasis
Authors: Kim Jeong-Min , Hwang Soojin , Cho Hye-Won , Kim Youngjun , Shin Dong Mun , Lee Eun , Kim Myungshin , Lee Cheonghwa , Kim Jong-Won , Park Hyun-Young , Lee Beom Hee , Park Mi-Hyun 
Published: January 2025

Abstract

Background
Bronchiectasis is a chronic respiratory condition characterized by irreversible dilation and damage of the bronchial walls, leading to impaired mucociliary clearance and recurrent infections. Its etiology is diverse; however, genetic factors are critical in its congenital and severe forms. Therefore, we aimed to identify two novel variants of the WFDC2 gene, known as antiprotease, from patients with bronchiectasis and/or related phenotypes using trio-based whole-genome sequencing analysis.
Methods
Patients with bronchiectasis were recruited as trio or quad, and their genomic DNA was isolated. The whole genome sequence was produced and analyzed to find causative genetic variants through an internal pipeline using GATK-DARGEN-Hail. Variant interpretation and pathogenicity assessment using various in-silico tools were performed to identify causative variants. Clinical characteristics were collected from patients with identified variants.
Results
In the discovery study involving four patients from three families, two novel variants in the WFDC2 gene were identified and suggested as causative pathogenic variants for bronchiectasis. The first variant (c.291C > G, p.Cys97Trp) is a homozygous variant that was not found in the population genome data. However, the second variant (c.278G > C, p.Cys93Ser) was identified in another patient as a heterozygous variant, forming a compound heterozygous state with the first variant. Notably, both variants, located at cysteine residues that are conserved across many species, are crucial in forming disulfide bonds essential for protein structure and function. In-silico analyses classified both variants as pathogenic, and they were identified as likely pathogenic according to American College of Medical Genetics and Genomic guidelines. Furthermore, in an expansion study, the homozygous variant was also found in two unrelated patients.
Conclusion
We identified two novel bi-allelic variants located at cysteine residues in the WFDC2 gene from patients with bronchiectasis who had previously not received a genetic diagnosis. Therefore, considering prior research on the pivotal role of the WFDC2 protein in the respiratory system, these two novel variants may serve as potential diagnostic markers and therapeutic targets for bronchiectasis.
Lower Network Functional Connectivity Is Associated With Higher Regional Tau Burden Among Those At-Risk of Alzheimer’s Disease But Cognitively Unimpaired: Specific Patterns Based on Amyloid Status
Authors: Ford Jamie , Mohanty Rosaleena , Westman Eric , Middleton Lefkos 
Published: January 2025

Abstract

Introduction: Functional connectivity within the medial temporal lobe (MTL) and default mode network (DMN) changes across Alzheimer's disease stages, influenced by and influencing cortical amyloid-beta (Aβ) and regional tau burden. Previous research highlights functional connectivity's role in Alzheimer’s disease progression and the interactions of cortical Aβ and functional connectivity within and between the MTL and DMN, but their impact on regional tau deposition remains largely unexplored.
Methods: Cognitively unimpaired participants from OASIS-3 (AV1451 cohort, n=287) were classified into Aβ- (n=193) and Aβ+ (n=94) groups via amyloid-PET for cross-sectional analyses. Principal components analysis of functional connectivity identified two MTL-functional connectivity and DMN-functional connectivity principal components (PCs), which were correlated with regional tau per Braak stages 1-6 brain regions. Aβ status-specific robust regressions evaluated whether functional connectivity was associated with tau.
Results: In Aβ- participants, lower “MTL Integration Axis” functional connectivity (PC1) was associated with higher tau levels in the left entorhinal cortex. In Aβ+ participants, lower “MTL Integration Axis” functional connectivity correlated with elevated tau levels in the DMN’s left lateral parietal cortex, MTL's right parahippocampal cortex, and Braak stages 3-6 brain regions.
Discussion: Decreased functional connectivity was associated with increased regional tau burden, showing Aβ status-specific effects. Enhancing MTL functional connectivity could be a therapeutic strategy and a promising direction for future clinical interventions.
Resilient Generation Planning Considering Low-RES Output
Authors: Stasinos Ektor-Ioannis , Panteli Mathaios , Hatziargyriou Nikos 
Published: January 2025

Abstract

The growing concerns over mitigating climate change effects resulted in power system planning and generation expansion strategies that aim in increasing penetration of intermittent renewable energy sources (RES) to fulfil the national energy and climate plans (NECPs) of countries worldwide. However, the variable and intermittent nature of RES output, compounded by uncertainties arising from climatic and weather changes, poses significant challenges. These challenges necessitate careful consideration in generation planning and in determining the operational reserves of RES-rich power systems to ensure resilience. This paper employs a generation capacity operational planning method based on the Screening Curve Method (SCM), assuming various levels of large RES penetration and diverse spinning generation reserve policies, necessary to cope with various levels of RES generation deficits, to guarantee power system resilience. The proposed approach can be used to assess the overall reduction of capacity and decommissioning of thermal units, while ensuring resilient operation against various levels of annual RES generation deficits.
Interaction between microRNA-493-5p and CCL19 dictates migration, invasion and progression of non-small cell lung cancer
Authors: Wang Zhiyuan , Meng Zhaoyuan , Li Guiyun , Li Fan , Ma Liju , Wang Xiaofang , Zhang Yu , Li Muye , Hu Xiong , Zhu Qianying , Zhao Juan , He Yongwen , Bian Li 
Published: January 2025

Abstract

The chemokine, CCL19 can promote lung cancer invasion and metastasis by binding to its receptor CCR7, but its specific mechanism is still unclear. We performed - miRNA microarray analysis to assess- miRNA expression in A549 cells treated with or without CCL19, and miR-493-5p was chosen for further study. Then, the role of miR-493-5p -in migration, invasion and EMT -were evaluated. miR-493-5p was significantly downregulated in A549 cells after CCL19 treatment. miR-493-5p -attenuated the downregulation of E-cadherin expression -after CCL19 treatment and -upregulated N-cadherin and Snail expression. Moreover, miR-493-5p overexpression -attenuated the effect of CCL19 on promoting migration and invasion as well as c-Met and Akt expression in A549 cells. miR-493-5p expression was downregulatedin lung cancer tissues, especially those from patients with lymph node or vascular metastasis. CCL19 can downregulate the expression of miR-493-5p and abolish the inhibitory effect of miR-493-5p on c-Met, which may activate the AKT signaling pathway, promote epithelial-mesenchymal transition, and increase the migration and invasionof A549 cells.
Chronic Kidney Disease, Osteoporosis, and TNFRSF11A: Causal Insights and Therapeutic Implications Through Mendelian Randomization
Authors: An Jiaqi , He Qiaoya , Shi Jing-xuan , Liu Xin-ze , Jiao Yuan-yuan , Tian Jing-wei , Yang Yue , Lu Hai-tao , Zhuo Li 
Published: January 2025

Abstract

Purpose
This study aims to evaluate the causal relationship between chronic kidney disease (CKD) and osteoporosis using two-sample Mendelian randomization (MR) and drug-target MR, and to investigate the potential association between TNFRSF11A and estimated glomerular filtration rate (eGFR).
Methods
The study utilized single nucleotide polymorphisms (SNPs) associated with eGFR and urinary albumin-to-creatinine ratio (UACR) identified by the Chronic Kidney Disease Genetics Consortium, as well as SNPs related to TNFRSF11A as instrumental variables for the MR analysis. The primary method used was inverse-variance weighted (IVW) to assess the causal relationship between CKD and outcomes such as rehabilitation, osteoporosis, and bone mineral density (BMD). Data were obtained from a genome-wide association study (GWAS). MR-Egger regression, weighted median estimation (WME), and weighted mode were employed for result validation, and MR-PRESSO and Q tests were used to assess pleiotropy and heterogeneity.
Results
In two-sample Mendelian randomization, IVW analysis showed a significant causal relationship between CKD and osteoporosis (OR = 1.022, 95% CI = 1.009–1.035, P < 0.001). MR-Egger regression further supported this finding (OR = 1.023, 95% CI = 1.002–1.045, P = 0.034). Although UACR showed a suggestive impact on ankle bone density (P < 0.05), the results were not robust. No significant causal relationships were found between CKD and fracture risk, total BMD, forearm BMD, vertebral BMD, or hip neck BMD. Additionally, in drug-target Mendelian randomization, IVW analysis indicated that TNFRSF11A is a risk factor for eGFR (OR = 1.014, 95% CI = 1.005–1.023, P < 0.005).
Conclusion
This study is the first to use Mendelian randomization to confirm a causal link between lower eGFR and osteoporosis, and identify TNFRSF11A as a risk factor for eGFR, highlighting its potential as a therapeutic target for CKD. However, evidence remains insufficient to establish a genetic link between CKD and fracture risk or BMD, requiring further research.