bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-omics analysis of human tendon adhesion reveals ACKR1 migrates macrophages involve in endogenous regeneration
Authors: Liu Shen , Li Baojie , Liu Ningning , Zhang Xinshu , Xiao Yao , Hu Bo , Li Yanhao , Zhang Shaoyang , Tian Jian , Wang Shuo , Tao Zaijin , Zeng Xinqi 
Published: October 2023

Abstract

Tendon adhesion is a common complication after tendon injury with the development of accumulated fibrotic tissues without effective anti-fibrotic therapies, resulting in severe disability. Macrophages are widely recognized as a fibrotic trigger during peritendinous adhesion formation. However, different clusters of macrophages have various functions and receives multiple regulation, which are both still unknown. In our current study, multi-omics analysis including scRNA-seq and proteomics were performed on both human and mouse tendon adhesion tissue at different stages after tendon injury. The transcriptomes of over 74,000 human single cells were profiled. As results, we found that SPP1+ macrophages, RGCC+ endothelial cells, ACKR1+ endothelial cells and ADAM12+ fibroblasts participated in tendon adhesion formation. Interestingly, despite of specific fibrotic clusters in tendon adhesion, FOLR2+ macrophages were identified as the antifibrotic cluster identified by in vitro experiments using human cells. Furthermore, ACKR1 were verified to regulate FOLR2+ macrophages migration in the injured peritendinous site by transplantation of bone marrow from Lysm-cre::R26R-Tdtomato mice to lethally irradiated Ackr1−/− mice (ACKR1−/− chimeras; deficient in ACKR1) and control mice (WT chimeras). By comparing with WT chimeras, the decline of FOLR2+ macrophages were also significantly observed, indicating that ACKR1 was specifically involved in FOLR2+ macrophages migration. Taken together, our study not only characterized the fibrosis microenvironment landscape of tendon adhesion by multi-omics analysis, but also uncovered the novel antifibrotic cluster of macrophages and their origin. These results provide potential therapeutic targets against human tendon adhesion.
Assessing the research landscape and clinical utility of large language models: A scoping review
Authors: Park Ye-Jean , Pillai Abhinav , Deng Jiawen , Guo Eddie , Gupta Mehul , Paget Mike , Naugler Christopher 
Published: October 2023

Abstract
Importance: Large language models (LLMs) like OpenAI's ChatGPT are powerful generative systems that rapidly synthesize natural language responses. Research on LLMs has revealed their potential and pitfalls, especially in clinical settings. However, the evolving landscape of LLM research in medicine has left several gaps regarding their evaluation, application, and evidence base.
Objective: This scoping review aims to (1) summarize current research evidence on the accuracy and efficacy of LLMs in medical applications, (2) discuss the ethical, legal, logistical, and socioeconomic implications of LLM use in clinical settings, (3) explore barriers and facilitators to LLM implementation in healthcare, (4) propose a standardized evaluation framework for assessing LLMs' clinical utility, and (5) identify evidence gaps and propose future research directions for LLMs in clinical applications.
Evidence Review: We screened 4,036 records from MEDLINE, EMBASE, CINAHL, medRxiv, bioRxiv, and arXiv from inception to June 26, 2023 for English-language papers and analyzed findings from 55 worldwide studies. Quality of evidence was reported based on the Oxford Centre for Evidence-based Medicine recommendations.
Findings: Our results demonstrate that LLMs show promise in compiling patient notes, assisting patients in navigating the healthcare system, and to some extent, supporting clinical decision-making when combined with human oversight. However, their utilization is limited by biases in training data that may harm patients, the generation of inaccurate but convincing information, and ethical, legal, socioeconomic, and privacy concerns. We also identified a lack of standardized methods for evaluating LLMs’ effectiveness and feasibility.
Conclusions and relevance: This review thus highlights potential future directions and questions to address these limitations and to further explore LLMs' potential in enhancing healthcare delivery.
Experiences and lessons learned in the field of health in the 2023 Turkish earthquake: a phenomenological study
Authors: Kivi Hamid Karimi , Nazari Saeed , Mahdian Hosein 
Published: October 2023

Abstract
Introduction: In accidents and disasters that cause injuries and illnesses to the affected people, quick and appropriate medical response, correct triage, evacuation/transfer and controlled distribution of the injured and patients by the local medical management system are important factors influencing the clinical situation. Providing effective services during the golden time of responding to accidents and disasters to patients and injured people, the most important goal is to quickly send health response teams to the area affected by the disaster. The present study was conducted to extract the experiences and lessons learned in the field of health in the earthquake of Turkey 2023.
Methodology: This is a qualitative study with a phenomenological approach; which was conducted through in-depth, semi-structured interviews and observations. The target community included the army's healthcare team and the Red Crescent Society of the Islamic Republic of Iran in the 2023 earthquake in Turkey. The interview and data collection guide were developed using the recommendations of the World Health Organization Office of Risk Reduction in Mass Casualty Incidents. Data collection continued until data saturation. Various strategies were used to increase the validity and reliability of the results of this research.
Findings: Extracting experiences and lessons learned in the field of health in the earthquake of Turkey in 2023; after conducting 26 interviews and data saturation, was reached. The obtained data were divided into 8 categories and 47 sub-categories. Categories include; Response operations, international aid, social partnership, disease care system, planning and response to health emergencies, environmental health, communication and cooperation, coordination, leadership, and control in health operations.
Conclusion: This study presented the experiences and lessons learned of the health, relief, and treatment teams of the army and the Red Crescent Society of Iran. Rapid response teams in the field of health must be prepared because they may face challenges in the response process in international missions. It is suggested to use several components extracted from this study to provide effective medical services and prevent challenges in the response phase of similar incidents and disasters.
Integration of transcriptomics and proteomics uncovers novel targets underlying the protective effects of Nrf2 knockout in HEI-OC1 cells
Authors: Li Siyu , Wang Weilong , Liang Rui , Gao Wei , Lu Peiheng , Chen Jiawei , Ma Pengwei , Yuan Hao , Lun Yuqiang , Guo Jianing , Wang Zi , Mei Hongkai , He Zuhong , Lu Lianjun 
Published: October 2023

Abstract
Cisplatin, a utilized anticancer drug in clinical practice, induces sensorineural hearing loss (SNHL) in patients. However, the precise mechanism underlying cisplatin-associated ototoxicity remains unknown. HEI-OC1 cells are immortalized cells derived from the organs of Corti mice and nuclear factor erythroid 2-related factor 2 （Nrf2） knockout (KO) significantly enhances cisplatin resistance in these cells. The exploration of transcriptomic and proteomic data from Nrf2 KO has significant implications for the identification of novel targets to enhance HEI-OC1 cisplatin resistance in Nrf2 KO and for understanding the biological characteristics associated with SNHL. The RNA-seq analysis revealed a significant enrichment of differentially expressed genes (DEGs) in the Nrf2 KO model within key signaling pathways, including the PI3K-Akt, MAPK, as well as Glutathione metabolism signaling pathways. Notably, expression levels of 17 specific genes were confirmed by RT-qPCR (Real-time Quantitative-PCR). The marker-based quantitative proteomics analysis revealed significant enrichment of differentially expressed proteins (DEPs) in key signaling pathways, including the p53, Glutathione metabolism, Ferroptosis, Platinum drug resistance signaling pathways. Furthermore, six proteins were validated by Western blotting (WB). Correlation analysis between transcriptomics and proteomics data demonstrated, focusing primarily on p53, Glutathione metabolism, and Ferroptosis signaling pathways. Moreover, 1 gene was randomly selected for RT-qPCR and WB. The biomarkers identified in this study may be key to understanding the biological mechanism by which Nrf2 KO strongly increases HEI-OC1 cisplatin resistance, and by targeting the PI3K-Akt, MAPK, Glutathione metabolism signaling pathways provide new ideas for the prevention and treatment of cisplatin-induced SNHL.
Computer Aided Diagnostic Model for Knee Osteoarthritis: A Multi-modal Feature Regression Approach
Authors: Yu Rongyao , Yang Fang , Shi Zewen , Chen Zeming , Chen Xianjun , Liu Yi , Pang Qingjiang , Shi Lin , Song Yang 
Published: October 2023

Abstract
Background:
Knee osteoarthritis (KOA) is a prevalent and debilitating form of arthritis, posing a substantial burden on patients' quality of life. Timely and precise diagnosis is pivotal in impeding disease progression and averting the necessity for invasive interventions such as joint replacement surgery. Given the widespread availability of X-ray imaging, there exists a critical need for an effective diagnostic methodology for KOA.
Methods:
In response to this need, this study introduces a novel computer-aided diagnostic model for KOA, based on multi-modal feature regression with X-ray image. Specifically, two different modals of diagnostic features are extracted. Firstly, by analyzing the diagnostic indicators of KOA with X-ray image, this study explores the diagnostic basis of osteoarthritis from the perspective of X-ray image content, and then designed several image content-based features for measuring bone gap, bone skin thickness and bone mass. Meanwhile, medical information-based features such age, gender and surgical history are also integrated as diagnostic features. Then, the mapping relationship between diagnostic features and the prevalence of osteoarthritis (denoted by K-L classification) is established by support vector regression as knee osteoarthritis diagnostic model
Results:
To validate the efficacy of our diagnostic model, we curated the NDKY-N2H knee X-ray image database, encompassing 300 knee joint X-ray images, each paired with its corresponding K-L classification. Experimental indicators, such as diagnostic accuracy can be better than 90%, which affirm the judicious design and competence of the proposed diagnostic model. It demonstrates noteworthy performance in knee osteoarthritis diagnosis.
Conclusion:
In summary, our research underscores the paramount importance of precise KOA diagnosis in ameliorating patient well-being and obviating the need for surgical interventions. The innovative multi-modal feature regression-based approach, amalgamating image content-based and medical information-based features, exhibits great potential for delivering dependable and effective KOA diagnoses via X-ray imaging. These findings not only contribute substantially to the arena of arthritis diagnosis but also lay a robust foundation for practical tools empowering healthcare professionals to enhance patient outcomes in cases of knee osteoarthritis.
Can Ecotoxicological Risk Assessment of Heavy Metal in Floodplain Suspended Sediments Bridge the Gap from Present Conditions to Future Environmental Threats?
Authors: Ajala Lawrence Olusegun , Obasi Nwogo Ajuka , Fasuan Temitope Omolayo , Ominyi Chidinma Emmanuel , Onwukeme Valentine Ifenna 
Published: October 2023

Abstract

Given increasing concerns about the environmental impact of heavy metal pollution, assessing the level of contamination in floodplain suspended sediments is an important task. Effective environmental management and the preservation of an ecosystem depend on understanding existing pollution levels and potential concerns in the future. For this reason, floodplain-suspended sediments from major industrialized cities in Southeast Nigeria were sampled and analyzed for heavy metal contents. The investigation was conducted to evaluate the immediate and long-term bioavailability and pollution status of heavy metals in receptor organisms. A five-step sequential extraction procedure was adopted to fractionate iron, manganese, copper, zinc, nickel, lead, cadmium, and chromium to determine the geochemical phases in which they were distributed. Generally, the heavy metals were partitioned in the following order: residual > > oxidizable > carbonate > reducible > exchangeable. This indicates that a significant portion of the metals was tightly bound to the soil matrix, rendering them not readily bioavailable to the biota, except over an extended period. The levels of heavy metals, except for lead and cadmium in specific areas, were below the saturation point in terms of their bioavailability. Furthermore, the pollution assessment indices, such as the geo-accumulation index, reflected high levels of cadmium, copper, and lead contamination. This suggests a potential ecotoxicological risk to organisms near the sampling sites. The sites were classified as moderate and high risk in terms of immediate and future risk assessment, respectively. Proper cleaning methods and potential site reclamation are imperative to minimize or contain these heavy metals in stable forms within urban areas to prevent bioaccumulation.
The Temporal Progression of Retinal Degeneration and Early-Stage Idebenone Treatment in the Pde6b rd1/rd1 Mouse Model of Retinal Dystrophy
Authors: Zhang Lei , Liu Wei , Wang Hai-Yan , Qiang Wei , Wang Ru , Cui Zhi-Li , Zhang Zuo-Ming 
Published: October 2023

Abstract
Photoreceptor cell death, primarily through apoptosis, related to retinal disorders like retinitis pigmentosa (RP), would result in vision loss. The pathological processes and crucial mutant conditions preceding photoreceptor cell demise are not well understood. This study aims to conduct an in-depth examination of early-stage changes in the widely utilized Pde6brd1/rd1 (rd1) mouse model, which has Pde6b gene mutations representing autosomal recessive RP disorder. We investigated the morphology and ultrastructure of retinal cells, including second-order neurons, during the initial phase of disease progression. Our findings revealed that mitochondrial alterations in rod photoreceptors were present as a predeath mutant state as early as postnatal day 3 (P3). The bipolar and horizontal cells from the rd1 mouse retina exhibited significant morphological changes in response to loss of photoreceptor cells, indicating that second-order neurons rely on these cells for their structures. Subsequent oral administration of idebenone, a mitochondria-protective agent, enhanced retinal function and promoted both photoreceptor cell survival and inner retinal second-order synaptogenesis in rd1 mice at P14. Our findings offer a mechanistic framework, suggesting that mitochondrial damage acts as an early driver for photoreceptor cell death in retinal degeneration.
Overall Barriers to The Prefabricated Construction Industry: A Fuzzy-SEM
Authors: Ibrahim Amr , Hamdy Khaled , Badawy Mohamed 
Published: October 2023

Abstract
Prefabrication construction (PC) is a greener and more sustainable building method that must be used to achieve the project's sustainability. PC is a construction method in which modules are manufactured in a factory and then placed on-site. Although PC is widely used in developed nations, its applications in developing countries remain extremely limited. The primary objective of this investigation is to analyze and introduce a model for the fundamental factors that impede the implementation of prefabrication in the construction sector of Egypt. In order to attain the desired objective, a comprehensive literature review, expert consultations, and face-to-face interviews were conducted to gather 23 observable variables that significantly influence the prefabrication construction industry. A questionnaire form was developed and distributed among professionals in the construction field, and a total of 371 replies were gathered during the collection of data. Following that, fuzzy theory was utilized for analyzing the probability and impact data from the questionnaire survey to determine the risk relevance for each factor. Then, a model consisting of 15 variables and five major latent dimensions was produced. A proposed SEM model was developed in the next phase using the measurement and the structural model. The findings indicate that the policy factor and attitudinal factors have a predominant influence. The current study provides meaningful data about the aspects covered, which can help in the development of effective strategies for promoting prefabricated construction.
Complete genome sequence of a novel dsRNA virus from the phytopathogenic fungus Fusarium oxysporum
Authors: wang Jing , Ni Yunxia , Zhao Hui , Liu Xintao , Qiu Rui , Li Shujun , Liu Hongyan 
Published: October 2023

Abstract
Fusarium oxysporum is a widespread plant pathogen that causes Fusarium wilt and Fusarium root rot in many economically significant crops. Here, a novel dsRNA virus tentatively named Fusarium oxysporum Virus 1 (FoV1) was identified from F. oxysporum strain 3S-18. The genome of FoV1 spans a length of 2,944 nucleotides (nt) and encompasses two distinct open reading frames (ORF1-2), which do not overlap with each other. The larger ORF2 encodes RNA-dependent RNA polymerases (RdRp) of 590 amino acids with a molecular mass of 67.52 kDa. The ORF1 encodes a putative nucleocapsid protein consisting of 134 amino acids with a molecular mass of 34.25 kDa. The RdRp domain of FoV1 shares 60.00–84.24% sequence similarity to the non-segmented dsRNA virus. Phylogenetic analysis further suggested that FoV1 is a new member of the unclassified monopartite dsRNA virus.
Analytical Investigation of the Factors Affecting the Supplier-Induced Demand in Healthcare: A Case Study of CT Scanning Department in Iran
Authors: Motaghi Samira , Farhadi Ehsan , Rajabian Hamid 
Published: October 2023

Abstract
The aim of this study is to investigate the factors affecting the supplier-induced demand in health care with the help of an analytical-survey approach and using a questionnaire tool, and to analyze the role of medical technology centers, such as centers equipped with a CT scanning department, in development of this type of demand. The statistical population of the present research consisted of the patients referring to this department, out of whom 80 people were selected as the research sample using the simple random sampling method. After checking the normality of the data distribution through the Kolmogorov-Smirnov test, three research hypotheses were developed, all of which were confirmed by analyzing them using the Pearson correlation parametric test. The results of the data analysis indicated that the low patient information, high physician information, and high costs of healthcare service provider institutions have a positive effect on the supplier-induced demand in healthcare (especially in the departments with therapeutic technologies such as CT scanning). In addition, according to the results, the variable of high costs of healthcare provider organizations plays a more significant role in development of supplier-induced demand for healthcare providers, compared to the other two variables.
Perceptions of Students and Administrators on peer pressure as a predictor of students sexual behavior in secondary schools in Homa-Bay Town Sub-County, Kenya.
Authors: Ouma Steve , Mbagaya Catherine 
Published: October 2023

Abstract
A favorable school atmosphere, in which learners are well behaved, is one of the greatest concerns of education stakeholders. Although studies have reported a number of factors that lead to misbehavior among students in schools, peer pressure is reported to contribute up to 53% of cases of students’ misbehavior. The report on HIV/AIDS prevalence by the National Aids and STI control program shows that Homa-Bay had a high prevalence rate of 20.6% with girls aged between 14 and 25 years heavily affected, which is considerably higher than the national average of 4.8%. Reports further show an average of 64 teenage pregnancies for every 10000 people in Homa bay town sub county which is higher than those reported by neighboring sub counties. The purpose of this study was to investigate the perceptions of students and administrators on peer pressure as a predictor of students’ sexual behavior in secondary schools in Homa Bay Town Sub County Kenya. The objective was to investigate the perception of students and administrators on the role of peer pressure in predicting risky sexual behavior among secondary schools’ students in Homa Bay Town Sub-County, Kenya. The target population was 10761 students and 33 deputy principals in the 33 secondary schools in Homa Bay Town Sub-County. Stratified and simple random sampling was used to select 30 secondary schools from which 30 deputy principals were selected. 370 students were sampled by simple random sampling. A descriptive survey research design was adopted to find out the perception of students and deputy principals on peer pressure as a predictor of Students' sexual behavior. Data on the students’ and deputy Principals’ perception was collected using structured questionnaires and deputy principal’s interview. The content validity of the research instruments was established by seeking opinions from the experts in the Department of Educational Psychology. Reliability was assessed by test re-test method and Pearson correlation coefficient of 0.882 and 0.996 was obtained for student’s and deputy principal’s questionnaires respectively. Descriptive statistics including frequency counts, means, standard deviation and percentages were used to analyze quantitative data. Qualitative data from the deputy principal interview was transcribed and categorized into emergent themes. The study revealed that Students generally expressed moderate agreement that peer pressure relates to Students’ sexual behavior (mean=2.65). Deputy Principals responses revealed that school administrators had higher level of agreement that peer pressure relates to Students’ sexual behavior (mean= 3.24). The findings of this study may help in increasing awareness and insight towards implementation comprehensive peer educational programs in school and provide useful information to the Ministry of Education and policy makers on secondary schools’ students’ behavior.
1H, 15N and 13C resonance assignments of S2A mutant of human carbonic anhydrase II
Authors: Kumari Neelam , Singh Himanshu 
Published: October 2023

Abstract
In preparation for a detailed exploration of the structural and functional aspects of the Ser2Ala mutant of human carbonic anhydrase II, we present here nearly complete sequence-specific resonance assignments for 1H, 15N, and 13C. The mutation of serine to alanine at position 2, located in the N-terminal region of the enzyme, significantly alters the hydrophilic nature of the site, rendering it hydrophobic. Consequently, there is an underlying assumption that this mutation would repel water from the site. However, intriguingly, comparative analysis of the mutant structure with the wild type reveals minimal discernible differences. Notably, the motivation for such a mutation extends beyond structural considerations; it aims to optimize the NMR signal-to-noise ratio, specifically in the context of active-site histidine sidechain correlations, by minimizing bulk-to-bound water exchange dynamics. This initial phase of our investigation thus sets the stage for a more profound understanding of the molecular dynamics and functional consequences of this strategic mutation within human carbonic anhydrase II.