bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comanagement of surgical patients between neurosurgeons and internal-medicine clinicians: observational cohort study
Authors: Para Ombretta , Valuparampil Joel Byju , Merilli Irene , Caruso Lorenzo , Raza Asim , Parenti Alberto , Angoli Carolina , Al Refaie Mohammed , Onesto Marzia , Barbacci Lorenzo , Nozzoli Carlo , Della Puppa Alessandro 
Published: February 2025

Abstract
The rising prevalence of chronic diseases have contributed to a population with high complexity of care. There has been an increasing need for a new organizational model based on the interaction in the same department between the specialist skills of surgical and medical disciplines. This study aims to describe the implementation of a hospitalist co-management program in a Neurosurgery Department (ND) and its impact on the incidence of medical complications, 30 days readmission rate for medical causes, number of transfers to Intensive Care Units (ICU)/Neurosurgical Intensive Care Unit (NICU) or to medical wards (MW), length-of stay (LOS), mortality and satisfaction of health workers. We conducted an observational study comparing changes before and after the Internal medicine-Neurosurgical Comanagement (INC) intervention. We conducted a retrospective evaluation of patients enrolled before the INC intervention and a prospective evaluation of those enrolled after the INC intervention was implemented. We defined the pre-INC intervention group as 380 patients admitted to the ND for neurosurgical disease between January 2022 and April 2022 and the post-INC intervention group as 367 patients admitted to the ND between January 2023 and April 2023. INC intervention was associated with a significant decrease in medical complications during the hospital stay (OR 0.52; 95% CI; 0.39–0.70, p < 0.001), 30 days in-hospital readmission for medical reasons (OR 0.95; 95% CI 0.93–0.97, p < 0.001) and numbers of transfers to ICU/NICU (OR 0.31; 95% CI; 0.17–0.55, p < 0.001) or MW (OR 0.51; 95% CI 0.33–0.77, p = 0.002). During the INC intervention period, we observed a high satisfaction rate in health workers, evaluated by standardized questionnaire. In our study, LOS, in-hospital mortality and 30-day mortality were not significantly associated with INC. Hospitalist co-management in Neurosurgical Departments was associated with a reduced incidence of medical complications, 30-days in-hospital readmission and numbers of transfers to ICU/NICU or MW with a high satisfaction rate among healthcare workers, but without a significant decrease in LOS and mortality rate.
Genetic screening in cohort of Egyptian patients with pulmonary arterial hypertension disease
Authors: Ayyad Samar I. E. , Refeat Miral M. , Ashaat Engy A. , Abdel-Ghaffar Abdel-Rahman B. , Hamdy Germine M. 
Published: February 2025

Abstract

Background
Variants in the bone morphogenetic protein 2 receptor gene (BMPR2) are the most frequent genetic cause of pulmonary arterial hypertension (PAH). However, correlation of BMPR2 variants and PAH clinical phenotype remains to be elucidated.

Methods and results
The goal of the present study is to investigate variants of the causative gene (BMPR2) in 25 Egyptian patients clinically pre-diagnosed with PAH symptoms and 10 healthy candidates using Sanger sequencing technique. Three pathogenic heterozygous missense variants have been illustrated in BMPR2 gene, two novel variants (V387E, E481K) in exon 9 and 11 respectively and one previously reported missense variant (C496G) in exon 11. The remaining 22 patients as well as the 10 healthy individuals showed no pathogenic variants.

Conclusion
Further studies on larger number of participants, using advanced NGS technique, should be performed to enrich information about genotype/phenotype correlations and incidence of PAH disease among Egyptian population; thus, it would provide families of PAH patients with accurate genetic counseling in order to prevent disease recurrence.
From Mechanisms to Management: Tackling In-Stent Restenosis in the Drug-Eluting Stent Era
Authors: Spadafora Luigi , Quarta Rossella , Martino Giovanni , Romano Letizia , Greco Francesco , Curcio Antonio , Gori Tommaso , Spaccarotella Carmen , Indolfi Ciro , Polimeni Alberto 
Published: February 2025

Abstract

Purpose of review
Drug-eluting stent (DES) technology has greatly enhanced the safety and effectiveness of percutaneous coronary interventions (PCI). The aim of the present paper is to provide a comprehensive review of in-stent restenosis (ISR), focusing on the contemporary DES era, including its incidence, mechanisms, and imaging characterization.

Recent findings
Despite the widespread use of DES and numerous improvements, recent clinical data indicate that ISR still occurs in 5–10% of PCI procedures, posing a considerable public health issue.

Summary
The incidence, morphology, and clinical implications of ISR are determined by a complex interplay of several factors: the patient, stent, procedure, and vessel and lesion-related factors. Advancements in intracoronary imaging have provided greater insight into its patterns and underlying causes. Over time, treatment strategies have evolved, and current guidelines recommend an individualized approach using intracoronary imaging to characterize ISR’s underlying substrate.
Integration and Potential Applications of Cardiovascular Computed Tomography in Cardio-Oncology
Authors: Erbay Muhammed Ibrahim , Manubolu Venkat Sanjay , Stein-Merlob Ashley F. , Ferencik Maros , Mamas Mamas A. , Lopez-Mattei Juan , Baldassarre Lauren A. , Budoff Matthew J. , Yang Eric H. 
Published: February 2025

Abstract

Purpose of Review
Cardiovascular computed tomography (CCT) is a versatile, readily available, and non-invasive imaging tool with high-resolution capabilities in many cardiovascular diseases (CVD). Our review explains the increased risk of CVD among patients with cancer due to chemoradiotherapies, shared risk factors and cancer itself and explores the expanding role of CCT in the detection, surveillance, and management of numerous CVD among these patients.

Recent Findings
Recent research has highlighted the versatility and enhanced resolution capabilities of CCT in assessing a wide range of cardiovascular diseases. Early detection of cardiac changes and monitoring of disease progression in asymptomatic patients with cancer may lessen the severity of CVD. It offers an essential means to assess for coronary artery disease when patients are either unable to safely undergo stress testing for ischemia evaluation or at risk of complications from invasive coronary angiography. Furthermore, CCT extends its utility to valvular diseases, cardiomyopathies, pericardial diseases, cardiac masses, and radiation-induced cardiovascular diseases, allowing for a comprehensive, noninvasive assessment of the entire spectrum of cancer treatment associated CVD. Looking to the future, the integration of artificial intelligence and machine learning algorithms holds potential for automated image interpretation, improved precision and earlier detection of subclinical cardiac deterioration, allowing opportunities for earlier intervention and disease prevention.

Summary
CCT is a useful imaging modality for assessing the myriad cardiovascular manifestations of diseases such as coronary artery disease, cardiomyopathies, pericardial disesaes, cardiac masses and radiation-induced cardiovascular diseases. CCT has several advantages. Readily available non-cardiac chest CT scans of patients with cancer may help with improved cardiovascular care, enhanced ASCVD risk stratification and toxicity surveillance.
Multiple Sclerosis: A Story of the Interaction Between Gut Microbiome and Components of the Immune System
Authors: Mohsen Esraa , Haffez Hesham , Ahmed Sandra , Hamed Selwan , El-Mahdy Taghrid S. 
Published: February 2025

Abstract
Multiple sclerosis (MS) is defined as an inflammatory disorder that chronically affects the central nervous system of young people mostly and is distributed globally. It is associated with degeneration and demyelination of the myelin sheath around the nerves, resulting in multiple neurological disability symptoms ranging from mild to severe cases that end with paralysis sometimes. MS is one of the rising diseases globally that is unfortunately associated with reduced quality of life and adding national economic burdens. The definite MS mechanism is not clearly defined; however, all the previous researches confirm the role of the immune system as the master contributor in the pathogenesis. Innate and adaptive immune cells are activated peripherally then attracted toward the central nervous system (CNS) due to the breakdown of the blood–brain barrier. Recently, the gut-brain axis was shown to depend on gut metabolites that are produced by different microorganisms in the colon. The difference in microbiota composition between individuals is responsible for diversity in secreted metabolites that affect immune responses locally in the gut or systemically when reach blood circulation to the brain. It may enhance or suppress immune responses in the central nervous system (CNS) (repeated short forms); consequently, it may exacerbate or ameliorate MS symptoms. Recent data showed that some metabolites can be used as adjuvant therapy in MS and other inflammatory diseases. This review sheds light on the nature of MS and the possible interaction between gut microbiota and immune system regulation through the gut-brain axis, hence contributing to MS pathogenesis.
Enhancing Rigor in Quantitative Meta-Analyses for Mindfulness Research: A Comprehensive Guide
Authors: Sperling Edie L. , Khoury Bassam , Sutton Anna , Price-Blackshear Mollie A. , Bettencourt B. Ann 
Published: February 2025

Abstract
Meta-analyses are considered the highest level of evidence in research design, providing a quantitatively estimated effect size for an outcome of interest pooled from some or all primary studies on a particular topic. The usefulness and accuracy of a meta-analysis depend on the rigor of the included studies and the methods adopted by the meta-analyst. In recent years, the number of meta-analyses in the field of mindfulness has increased, but the relative rigor of meta-analyses on mindfulness research has varied. Our aim with this report, therefore, is to provide a guide for future authors of mindfulness meta-analyses that offers recommendations and explanations for best practices in meta-analysis. We selected high-quality literature on meta-analyses and used the 19 meta-analyses published in the journal Mindfulness between January 2022 and 2024 to highlight methodological approaches that can enhance the rigor of future meta-analyses on mindfulness research. Although instructive content already exists on meta-analytic techniques, in this work, we brought together meta-analytic recommendations specific to mindfulness studies. We reviewed current literature on meta-analytics and now present recommendations for meta-analytic methods, reporting of meta-analytic results, and what to include in discussion sections. The present article also provides an overall checklist of mandatory and recommended items to be included in a meta-analysis.
Removal of Volatile Organic Compounds from Gases with Innovative Electrochemically-Assisted Reactive Absorbers
Authors: Arias-Sanchez Andrea N. , Lobato Justo , Rodrigo Manuel A. 
Published: February 2025

Abstract
Volatile organic compounds emitted by various industries constitute relevant atmospheric pollutants with a risk to human health. An electrochemically assisted absorption process (electro-absorption) is proposed and evaluated for the treatment of gaseous streams polluted with benzene or xylene as representative VOCs. The main objective of this work is focused on the comparison between the performance of a packed column and a jet mixer as absorption configuration in this electrochemical technology. The results show that the degradation pathway with both configurations is mineralization. The intermediates compounds vary depending on the pollutant, benzoquinone and tolualdehyde are mainly produced in the removal of benzene and xylene, respectively. An increase in the current density applied to the system implies higher removal rates of the pollutants but lower energy efficiencies, with 50 mA cm-2 being the optimum. Furthermore, it was observed that the jet mixer improves the treatment of gaseous streams with VOCs with low water solubility and volatility (as p-xylene) while the packed column is more effective in treating gases polluted with VOCs with high water solubility and volatility (as benzene). The obtained data allow to establish the technical feasibility and functionality of electro-absorption technology as treatment process to remove VOCs from gas streams, which is meaningful for future research perspectives on scalability, economic evaluation and life cycle analysis to validate and expand the current findings.
Top-Down Dual-Interface Carrier Management for Highly Efficient and Stable Perovskite/Silicon Tandem Solar Cells
Authors: Li Xin , Ying Zhiqin , Li Shuo , Chen Lei , Zhang Meili , Liu Linhui , Guo Xuchao , Wu Jun , Sun Yihan , Xiao Chuanxiao , Zeng Yuheng , Wu Jian , Yang Xi , Ye Jichun 
Published: February 2025

Abstract
Despite significant advancements in the power conversion efficiency (PCE) of perovskite/silicon tandem solar cells, improving carrier management in top cells remains challenging due to the defective dual interfaces of wide-bandgap perovskite, particularly on textured silicon surfaces. Herein, a series of halide ions (Cl−, Br−, I−) substituted piperazinium salts are designed and synthesized as post-treatment modifiers for perovskite surfaces. Notably, piperazinium chloride induces an asymmetric bidirectional ions distribution from the top to the bottom surface, with large piperazinium cations concentrating at the perovskite surface and small chloride anions migrating downward to accumulate at the buried interface. This results in effective dual-interface defect passivation and energy band modulation, enabling wide-bandgap (1.68 eV) perovskite solar cells to achieve a PCE of 22.3% and a record product of open-circuit voltage × fill factor (84.4% relative to the Shockley–Queisser limit). Furthermore, the device retains 91.3% of its initial efficiency after 1200 h of maximum power point tracking without encapsulation. When integrated with double-textured silicon heterojunction solar cells, a remarkable PCE of 31.5% is achieved for a 1.04 cm2 monolithic perovskite/silicon tandem solar cell, exhibiting excellent long-term operational stability (T
80 = 755 h) without encapsulation in ambient air. This work provides a convenient strategy on dual-interface engineering for making high-efficiency and stable perovskite platforms.
Construction of Multifunctional Conductive Carbon-Based Cathode Additives for Boosting Li6PS5Cl-Based All-Solid-State Lithium Batteries
Authors: Gao Xin , Chen Ya , Zhen Zheng , Cui Lifeng , Huang Ling , Chen Xiao , Chen Jiayi , Chen Xiaodong , Lee Duu-Jong , Wang Guoxiu 
Published: February 2025

Abstract
The electrochemical performance of all-solid-state lithium batteries (ASSLBs) can be prominently enhanced by minimizing the detrimental degradation of solid electrolytes through their undesirable side reactions with the conductive carbon additives (CCAs) inside the composite cathodes. Herein, the well-defined Mo3Ni3N nanosheets embedded onto the N-doped porous carbons (NPCs) substrate are successfully synthesized (Mo-Ni@NPCs) as CCAs inside LiCoO2 for Li6PSC5Cl (LPSCl)-based ASSLBs. This nano-composite not only makes it difficult for hydroxide groups (–OH) to survive on the surface but also allows the in situ surface reconstruction to generate the ultra-stable MoS2-Mo3Ni3N heterostructures after the initial cycling stage. These can effectively prevent the occurrence of OH-induced LPSC decomposition reaction from producing harmful insulating sulfates, as well as simultaneously constructing the highly-efficient electrons/ions dual-migration pathways at the cathode interfaces to facilitate the improvement of both electrons and Li+ ions conductivities in ASSLBs. With this approach, fine-tuned Mo-Ni@NPCs can deliver extremely outstanding performance, including an ultra-high first discharge-specific capacity of 148.61 mAh g−1 (0.1C), a high Coulombic efficiency (94.01%), and a capacity retention rate after 1000 cycles still attain as high as 90.62%. This work provides a brand-new approach of “conversion-protection” strategy to overcome the drawbacks of composite cathodes interfaces instability and further promotes the commercialization of ASSLBs.
Study on the Internal Force and Deformation of Double-System Composite Guideway for Monorail Transit Based on Energy Theory
Authors: Bai Zhengwei , Zhu Eryu 
Published: February 2025

Abstract
To further investigate the impact of prestressing on the internal force and deformation of the double-system composite guideway (DSCG), theoretical equations for internal force and deformation were established based on the principle of energy variation. The theoretical results were validated through finite element modelling and elastic analysis methods. The proposed DSCG theoretical model, derived from the energy method, effectively addresses the influence of symmetric and asymmetric loads on the internal force and deformation of the guideway. The findings indicated that the ratios of interface slip, axial force, and vertical deformation under the two loading conditions were 1.16, 1.06, and 1.06, respectively, showing close agreement. The prestressing effect significantly impacted the mechanical behaviour of the guideway, particularly the vertical deformation, with a maximum influence of 4.92%. Moreover, the results of the energy and elastic analysis methods exhibited a high degree of consistency, with the maximum deviation in the calculated internal force and deformation results not exceeding 3%. This research fills a gap in the theoretical study of the DSCG and provides valuable insights for developing multi-system monorail transit systems.
Can We Assess Attitudes Toward AI with Single Items? Associations with Existing Attitudes Toward AI Measures and Trust in ChatGPT
Authors: Montag Christian , Ali Raian 
Published: February 2025

Abstract
A growing number of researchers investigate individual differences in attitudes toward Artificial Intelligence (AI), which is not surprising given that the AI revolution is impacting societies around the globe. Different frameworks have been proposed to study both positive and negative attitudes toward AI. To our knowledge, the present work is the first to simultaneously investigate the ATAI (Attitudes Toward Artificial Intelligence Scale) and the GAAIS (General Attitudes Towards Artificial Intelligence Scale). Further, two single items assessing positive and negative attitudes toward AI were added to the study to see if they would grasp substantial parts of the variance of the already established ATAI and GAAIS inventories. Correlations were of moderate to large effect size when comparing associations between the single-item measures and both ATAI and GAAI scales (German speaking sample 1 = 151 participants; German speaking sample 2 = 386). Finally, also associations with trusting the generative AI ChatGPT were included as external validation measurement in both investigated samples. Results revealed that all attitudes toward AI measures were associated with trusting ChatGPT. Moreover, a stepwise regression model demonstrated that the acceptance scale of the ATAI was the best predictor for trust in ChatGPT in sample 1, with more predictors in sample 2. The present work shows substantial overlap between the available attitudes towards AI measures, and this could be replicated in two samples. These insights can help future researchers and AI designers to choose the appropriate survey tool when considering to assess attitudes toward AI.
Fodor, Bruner and Beyond
Authors: Hagoort Peter , Gaudenzi Rocco 
Published: February 2025

Abstract
This article presents an in-depth conversation with Peter Hagoort, a leading cognitive neuroscientist and director of the Max Planck Institute for Psycholinguistics. The interview explores the contrasting paradigms of Jerry Fodor and Jerome Bruner, focusing on their differing conceptions of the mind, including modularity, perception, and the role of cognitive processes. Hagoort reflects on Fodor’s modularity theory and Bruner’s New Look in Perception, examining their influence on his own research, particularly the language marker hypothesis, which highlights the symbolic and flexible nature of human internal models shaped by language. The discussion further addresses Fodor’s critique of relativism, his scepticism about cognitive neuroscience, and the relevance of these foundational ideas to contemporary questions in cognitive science and artificial intelligence, including the distinctions between human cognition and large language models. Through this dialogue, the article revisits key debates in cognitive science while situating them within current research and theoretical developments.
MEIS1-mediated Apoptosis via TNFR1 in Endometriosis
Authors: Wang Wenwen , Fu Fangfang , Li Yan , Li Sha , Yuan Ming , Wang Tian , Ren Wu , Wei Jia , Chen Dan , Wang Shixuan , Ma Xiangyi , Wu Zhangying 
Published: February 2025

Abstract
Abnormal apoptosis both maintains endometrial cell growth and induces endometrial pathogenesis. The etiology of endometriosis is unclear and no treatment is curative. Therefore, the aim herein was to identify genes involved in the pathogenesis of endometriosis. Using the data from our previous results and RNA sequencing data of normal endometrial tissue and ovarian endometrioma (OMA) tissue, along with Gene Expression Omnibus (GEO) dataset on endometriosis, we identified an apoptotic-related gene, meis homeobox I (MEIS1). Normal endometrium, eutopic endometrium and ectopic endometriotic tissues were used to detect MEIS1. Primary normal endometrial and eutopic endometrial stromal cells were isolated and cultured for exploring the function of MEIS1 and related pathways. A mouse endometriosis model was used to verify the therapeutic effects of MEIS1. The mRNA and protein of MEIS1 in tissues from patients with endometriosis were decreased. Overexpression of MEIS1 induced the apoptosis of primary eutopic endometrium stromal cells by regulating TNFR1. Using Cell Counting Kit 8 (CCK8) assay and EdU assay, we found that knockdown of MEIS1 promoted the proliferation of primary normal endometrium stromal cells. We also observe that upregulated MEIS1 may lead to caspase pathway activation, promoting endometrial cell apoptosis. Furthermore, MEIS1 lentivirus inhibited endometriotic lesion formation and induced apoptosis in the mouse endometriosis model. These cumulative findings suggest that MEIS1 may mediate apoptosis by initiating TNFR1 in endometrial cells via the caspase pathway.
Delayed recognition of mpox on an inpatient psychiatric unit: a case report and investigation
Authors: Malik Waleed , Dosovitz Simon , Whitehouse Jonathan , Reza Nafisa , Khan Sharmin , Chan Justin 
Published: February 2025

Abstract
This report describes a delayed recognition of mpox in a patient admitted to an inpatient psychiatry unit, resulting in potential exposures to staff and patients. We detail the investigation and risk mitigation efforts and emphasize the importance of prompt identification and isolation in congregate healthcare settings to prevent transmission.