bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the adaptation potential of the cardiovascular system of students studying in medical specialties
Authors: Pavlova O. N. , Gromova D. S. , Makarova-Gorbacheva E. V. , Budaev A. I. , Halitova Yu. A. 
Published: January 2024

Relevance. Studying the adaptive potential of students is an important way to assess the level of health and early career guidance of future doctors.The purpose of the study is to study the adaptive potential of the cardiovascular system among second-year medical university students.Object and methods. The study involved 507 students of both sexes studying in their second year at Samara State Medical University. At the first stage of the study, anthropometric parameters were studied in all subjects. At the second stage, an analysis of the adaptive potential was carried out by calculating the following indicators: index of functional changes, adaptive potential according to the equation of L.A. Konevskikh, Robinson index.Conclusions. An analysis of the functional state of the cardiovascular system of medical university students revealed that the majority of students already in their second year have a disruption of adaptation processes, which is associated with low functional capabilities of the body, tension in adaptation mechanisms and disruption in the functioning of regulatory systems.
Treatment of periprosthetic knee joint infection using a spacer with a mixed carbonsilver antibacterial coating in the medium term
Authors: Malyuchenko L. I. , Nikolaev N. S. , Emel'yanov V. Yu. 
Published: January 2024

Relevance. Total endoprosthetics is a one of the most common operation for knee pathology. A major complication of joint replacement surgery is periprosthetic infection (PPI). In this work, we looked at the mid-term clinical outcomes of using spacers coated with linear chain carbon doped with silver ions (LC-Ag+) to treat PJI.Object and methods. The mid-term clinical results of 31 patients with LUP-Ag+ coated spacers were compared to 31 control patients groups utilizing tests of the functional and clinical scales KSS, visual analogue pain scale (VAS), EQVAS, and EQ-5D-5L 2 years following surgery.Results. According to the clinical questionnaire, the LC-Ag+ group's mid-term outcomes were statistically better than the control group's for clinical KSS 90 vs. 69 points (p = 0.002) and functional KSS – 75.5 vs. 65 points (p = 0.005), VAS – 1.6 vs. 4.2 points (p < 0.001), EQVAS – 95 vs. 72.5 points (p < 0.001), EQ-5D-5L – 0.84 vs. 0.59 points (p = 0.008), respectively.Conclusions. The combination LC-Ag+ coating increases the mid-term effects of PPI treatment.
Szeged Index and Padmakar-Ivan Index of Nilpotent Graph of Integer Modulo Ring with Prime Power Order
Authors: Husni Muhammad Naoval , Wardhana I Gede Adhitya Wisnu , Dewi Putu Kartika , Suparta I Nengah 
Published: January 2024

Recently, graphs have started to be used to represent a finite ring. Nikmehr and Khojasteh in the article defined the nilpotent graph of a ring . Denoted , is a graph with the set of vertices being all the elements in the ring Two vertices and are adjacent if and only if is nilpotent elements in the ring . Topological index is a field that discusses graph structure based on the degree of each vertex of a graph and the distance between vertices. In this study, the author will gives the general formula of the Szeged index and Padmakar-Ivan index of the nilpotent graph graph of the modulo ring with prime power order. The result of this research is a general formula for the topological indices of nilpotent graphs of the integer modulo ring, called the Szeged index and the Padmakar-Ivan index.
Trace elements in two endemic fish species (Barbus strumicae, Karaman, 1955 and Squalius оrpheus, Kottelat &amp; Economidis, 2006) of Nestos River (NE Greece): levels, organ bioaccumulation and potential health risk
Authors: Kamidis Nikolaos , Sapounidis Argyrios , Spanos Thomas , Chatzichristou Christina , Topi Vilson , Triantafillidis Stelios , Karampetsis Dimitrios , Papadopoulou Paraskevi , Mitkidou Sophia , Kokkinos Nikolaos , Ene Antoaneta , Stamatis Nikolaos 
Published: January 2024

Abstract

This paper aims to determine the content of eight trace elements (Li, Cr, Co, As, Se, Cd, Pb and Hg) and one radioisotope (238U) in kidney, liver and muscle tissues of two endemic species (Squalius orpheus and Barbus strumicae) from Nestos River (northern Greece), and to evaluate the potential risk to human health due to the consumption of the edible part of the fish. An attempt to distinguish potential differences in bioaccumulation patterns between the examined species and sites was also done. Higher concentrations of all elements were found in kidney and liver tissues for both species, except Hg. The site closer to the river-mouth presented higher concentrations since it receives point and non-point effluents from agricultural activities. On the other hand, an irrigation dam operating close to the upstream station obstructs the free transportation of sediments and suspended matter downstream. As a result, this site is characterized by lower element concentrations. Feeding habits are a significant factor for the metal accumulation in fish; the sediment inhabitant and feeder B. strumicae showed elevated concentrations compared to the water column resident S. orpheus. According to MDI, THQ and TTHQ values calculated for both species, the element bioaccumulation is negligible and the consumption of the fish edible tissue by humans for both species poses zero health risk in developing chronic undesired effects.
Associations between Recurrent COVID-19, Attention, and Mental Health: A Longitudinal Study
Authors: Khodami Mohammad Ahsan , Rostami Mitra , Jalali Hanie , Hosseini Seyed Mohammad , Bagheri Seyran , Kireeva Sofia 
Published: January 2024

Abstract
This two-part longitudinal study examined the impacts of initial and recurrent COVID-19 diagnosis on negative affect (Depression, Anxiety, and Stress) and attention control in undergraduate students during pandemic lockdowns. Study 1 found that first-time diagnosis was associated with significantly higher depression, anxiety, and stress but did not affect attention control. Study 2 showed recurrent diagnosis further worsened mental health outcomes yet was linked to enhanced attentional abilities, contrasting typical condition declines. Within-subjects analysis demonstrated a worsening effect but improved attention control from first to second-time points among repeatedly diagnosed participants. Overall, both initial and recurrent diagnoses severely impact psychological well-being with cumulative mental health tolls, underscoring the need to prioritize supporting mental health. However, attentional resilience emerges, potentially reflecting an adaptive coping response. Continued research tracking patients across multiple infections can clarify relationships between worsening emotions and improved attention, informing interventions to address the multifaceted health impacts of COVID-19 reinfection.
RBM15B Promotes Hepatocellular Carcinoma Progression via IGF2BP1-Mediated ITSN2 mRNA Stabilization
Authors: Xu Yongfang , Xiong Mengqi , Chen Wei , Yao Chengjie , Chen Yunhao , Man Da , Ye Xiujin , Xie Haiyang , Jia Changku 
Published: January 2024

Abstract

Background: N6-methyladenosine (m6A), the most abundant form of RNA chemical methylation, is aberrantly expressed in hepatocellular carcinoma (HCC), where it affects multiple biological processes including targeted RNA splicing, transport, degradation, stabilization, and translation.
Method: The RNA-binding motif protein 15 B (RBM15B) is a pivotal coordinator of m6A activation, such as alternative splicing of mRNA. We investigated the biological effects and potential mechanisms of action of RBM15B in HCC using TCGA database, in-vitro and in vivo assays, and Merip-seq.
Results: High levels of RBM15B, which predicts a poor prognosis, have been identified in patients with HCC. RBM15B promotes HCC propagation and invasion in vitro and in vivo. RBM15B regulates the m6A of intersectin2 (ITSN2) mRNA via insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1)-facilitated stabilization of ITSN2 mRNA. ITSN2 depletion rescued the tumor-promoting phenotype induced by RBM15B overexpression.
Conclusion: In summary, RBM15B-regulated m6A in ITSN2 facilitates HCC progression via IGF2BP1-guided stabilization of ITSN2 mRNA. Our study illustrates the importance of the RBM15B-IGF2BP1-ITSN2 regulatory axis based on m6A activity and provides new insights into epi-transcriptomic maladjustments of initiation and metastasis in HCC.
Characterization of Usher Syndrome Cell line Genotypes and Elucidation of Novel MicroRNA Biomarkers using MicroRNA Microarray and Droplet Digital PCR
Authors: Tom Wesley , Chandel Dinesh S. , Jiang Chao , Krzyzanowski Gary , Fernando Nirmalee , Olou Appolinaire , Fernando M. Rohan 
Published: January 2024

Abstract

Background:Usher syndrome (USH) is an inherited disorder characterized by sensorineural hearing loss (SNHL), retinitis pigmentosa (RP)-related vision loss, and vestibular dysfunction. USH presents itself as three distinct clinical types 1, 2 and 3, with no biomarker for early detection. This study aimed to explore novel microRNA (miRNA) biomarkers for USH by comparing miRNA expression patterns in cell lines derived from USH patients and control subjects.
Methods:Lymphocytes from USH patients and healthy individuals were isolated and transformed into stable cell lines using Epstein-Barr virus (EBV). DNA from these cell lines was sequenced using a targeted panel to identify gene variants associated with USH types 1, 2, and 3. Microarray analysis was performed on RNA from both USH and control cell lines using NanoString miRNA microarray technology. Dysregulated miRNAs identified by the microarray were validated using droplet digital PCR technology.
Results: DNA sequencing revealed that two USH patients had USH type 1 with gene variants in USH1B (MYO7A) and USH1D (CDH23), while the other two patients were classified as USH type 2 (USH2A) and USH type 3 (CLRN-1), respectively. The NanoString miRNA microarray detected 92 differentially expressed miRNAs in USH cell lines compared to controls. Significantly altered miRNAs exhibited at least a twofold increase or decrease with a p value below 0.05. Among these miRNAs, 20 were specific to USH1, 14 to USH2, and 5 to USH3. Three miRNAs that are known as miRNA-183-family which are crucial for inner ear and retina development have been significantly down regulated as compared to control cells. Subsequently, droplet digital PCR assays confirmed the dysregulation of twelve most prominent miRNAs in USH cell lines.
Conclusion:This study identifies several miRNAs with differential expression in USH patients and their potential utility as biomarkers for Usher syndrome.
Laparoscopic transcystic common bile duct exploration following prior gastrectomy: the safety and feasibility Running head: Laparoscopic transcystic common bile duct exploration
Authors: Huang Jian , Wei Huijun , Chen Xiaopeng , Tang Xinguo , Ran Longjian , Fu Xiaowei , Fang Lu 
Published: January 2024

Abstract
Background
Previous gastrectomy (PG) can lead to an increased incidence of gallstones. The purpose of this study was to evaluate the safety and feasibility of laparoscopic transcystic common bile duct exploration (LTCBDE) for PG patients.
Methods
A total of 300 patients who received LTCBDE in the same center from January 2015 to June 2023 were retrospectively evaluated. According to the PG status, the patients were divided into two groups: PG group and No-PG group. The characteristics of the disease, cystic duct incision method, surgical results and complications were analyzed.
Results
LTCBDE was performed in 300 patients. Among them, 59 patients had a history of gastrectomy. In general, the success rate of LTCBDE was 93%, 1 (0.3%) was converted to laparotomy, 21 (7%) underwent laparoscopic common bile duct exploration + T-tube drainage, and 3 (1%) did not find stones during intraoperative exploration. Complications occurred in 45 (15%). There was no significant difference in postoperative complications between PG group and No-PG group. In multivariate analysis, Calot 's triangle adhesion (hazard ratio (HR): 0.383, 95% confidence interval (CI): 0.185–0.792, P = 0.010) and anatomical variation of bile duct (HR: 0.349, 95% CI: 0.162–0.749, P = 0.007) were risk factors for overall complications.
Conclusions
LTCBDE is safe and feasible for PG patients. With the continuous advancement of technology, LTCBDE has been effectively promoted and applied.
Application of Artificial Intelligence and Machine Learning on Predicting Poor Outcomes in Hemophilia Patients
Authors: Hu Jianzhong , Chen Lu , Rogers Bob , Chandler Martin , Santos Jarren 
Published: January 2024

Abstract

Background
Artificial intelligence (AI) and machine learning (ML) are currently used in the clinical field to improve the outcome predictions on disease diagnosis and prognosis. However, to date, few AI/ML applications were reported in rare diseases, such as hemophilia. In this study, taking advantage of the ATHNdataset, an extensive repository of hemostasis and thrombosis data, we aimed to demonstrate the application of AI/ML approaches to build predictive models to identify persons with hemophilia (PwH) who are at risk of poor outcome and to inform providers in clinical decision-making towards helping patients prevent long-term complications.
This project was carried out in two steps. First, the data were mined from ATHN 7, a subset study of the ATHNdataset, to determine markers that defined “poor outcome.” Second, we applied multiple AI/ML approaches on the ATHNdataset to validate our findings and to develop predictive models to identify PwH at risk of poor outcome. The classical regression-based predictive model was used as a reference to evaluate the performance of various AI/ML models.
Results
Our models included features similarly distributed to response variables of interest, resulting in limited ability to distinguish poor outcome. Low recall (<53%) resulted in no single model reliably predicting poor outcome out of all actual positive cases. Our results suggest that to build a more useful AI/ML model, we may need a larger dataset size along with additional features. Furthermore, our results also showed that most of the AI/ML models outperformed the classical logistic regression model in both model accuracy and precision.
Conclusions
Our study illustarted the potential of using AI/ML modeling in diagnosis and prognosis predictions of rare diseases.
Generalizable deep neural networks for image quality classification of cervical images
Authors: Ahmed Syed Rakin , Befano Brian , Egemen Didem , Rodriguez Ana Cecilia , Desai Kanan , Jeronimo Jose , Ajenifuja Kayode , Clark Christopher , Perkins Rebecca , Campos Nicole , Inturrisi Federica , Wentzensen Nicolas , Han Paul , Guillen Diego , Norman Judy , Goldstein Andrew , Madeleine Margaret , Donastorg Yeycy , Schiffman Mark , de Sanjose Silvia , Kalpathy-Cramer Jayashree 
Published: January 2024

Abstract

Successful translation of artificial intelligence (AI) models into clinical practice, across clinical domains, is frequently hindered by the lack of image quality control. Diagnostic models are often trained on images with no denotation of image quality in the training data; this, in turn, can lead to misclassifications by these models when implemented in the clinical setting. In the case of cervical images, quality classification is a crucial task to ensure accurate detection of precancerous lesions or cancer; this is true for both gynecologic-oncologists’ (manual) and diagnostic AI models’ (automated) predictions. Factors that impact the quality of a cervical image include but are not limited to blur, poor focus, poor light, noise, obscured view of the cervix due to mucus and/or blood, improper position, and over- and/or under-exposure. Utilizing a multi-level image quality ground truth denoted by providers, we generated an image quality classifier following a multi-stage model selection process that investigated several key design choices on a multi-heterogenous “SEED” dataset of 40,534 images. We subsequently validated the best model on an external dataset (“EXT”), comprising 1,340 images captured using a different device and acquired in different geographies from “SEED”. We assessed the relative impact of various axes of data heterogeneity, including device, geography, and ground-truth rater on model performance. Our best performing model achieved an area under the receiver operating characteristics curve (AUROC) of 0.92 (low quality, LQ vs. rest) and 0.93 (high quality, HQ vs. rest), and a minimal total %extreme misclassification (%EM) of 2.8% on the internal validation set. Our model also generalized well externally, achieving corresponding AUROCs of 0.83 and 0.82, and %EM of 3.9% when tested out-of-the-box on the external validation (“EXT”) set. Additionally, our model was geography agnostic with no meaningful difference in performance across geographies, did not exhibit catastrophic forgetting upon retraining with new data, and mimicked the overall/average ground truth rater behavior well. Our work represents one of the first efforts at generating and externally validating an image quality classifier across multiple axes of data heterogeneity to aid in visual diagnosis of cervical precancer and cancer. We hope that this will motivate the accompaniment of adequate guardrails for AI-based pipelines to account for image quality and generalizability concerns.
Oxymatrine Modulation of TLR3 Signaling Pathway: A Dual-Action Mechanism against H9N2 Avian Influenza Virus and Immune Regulation
Authors: Zhi Yan , Liu Zhenyi , Shen Guo , Wang Xiang , Liu Ying , Zhang TAO , Hu Ge 
Published: January 2024

Abstract
Background
H9N2 Avian Influenza Virus (AIV) poses a growing public health threat due to its rapid mutation rate and limited vaccine efficacy. Pulmonary Microvascular Endothelial Cells (PMVECs) play a critical role as a gateway for infection, highlighting the need for alternative therapeutic strategies. This study examines the antiviral potential of Oxymatrine (OMT), a traditional Chinese medicine derivative, against H9N2 AIV in PMVECs.
Purpose
The aim of this study is to explore the efficacy of OMT in modulating antiviral responses and to elucidate its impact on the TLR3 signaling pathway in PMVECs infected with H9N2 AIV.
Study Design and Methods:
Using an array of in vitro assays such as TCID50, CCK-8, RT-qPCR, ELISA, and Western blot, this study evaluated the viral infectivity, cell viability, gene and protein expression levels, and key cytokine levels in PMVECs. Additionally, RNAi technology was employed to silence TLR3 genes to further understand the mechanisms involved.
Results
OMT displayed a dose-dependent inhibitory effect on vital antiviral proteins PKR and Mx1 and modulated the expression of Type I interferons and cytokines including IFN-α, IFN-β, IL-6, and TNF-α. It significantly impacted the TLR3 signaling pathways, affecting downstream components such as NF-κB and IRF-3. TLR3 silencing studies indicated that OMT's antiviral efficacy was not solely dependent on the TLR3 pathway.
Conclusion
Our findings reveal that OMT exhibits a dual-action mechanism by inhibiting H9N2 AIV and modulating immune responses in PMVECs, primarily through the TLR3 signaling pathway. These results lay a promising foundation for the development of OMT as an alternative antiviral therapeutic against H9N2 AIV.
RETRACTED: Effect of foliar selenium application on fermentation, nutrition and microbial community changes in semidry alfalfa silage
Authors: Wang Kexin , Wang Fengdan , Sun Shengnan , Gao Zifeng , Hua Yi , Gao Yongqi , Yang Jie , Guo Yue , Lu Yalin , Zhu Siqi , Hu Guofu , Qin Ligang 
Published: January 2024

Abstract

The authors have requested that this preprint be removed from Research Square.
Knowledge of HIV testing and prevention of mother-to-child transmission among pregnant women, Tripoli -Libya: A cross-sectional study
Authors: Aboulqasim Salha Ali , Aqeelah Hanan Alarabi , Elhshik Elham Ebrahim , Othman Hussain Ben , Abdelhamid Mohamed Hadi Mohamed 
Published: January 2024

Abstract
Background
HIV infection is a major public health concern, especially among pregnant women. Early diagnosis and treatment of HIV can help to prevent transmission of the virus to babies. However, many pregnant women are not aware of their HIV status or do not receive timely testing. This study was conducted to determine the knowledge of pregnant women with HIV/AIDS attending ANC at healthcare centers in Tripoli.
Methods
A cross-sectional study was conducted in five healthcare centers for pregnant women attending ANC follow-up centers. The women were asked about their knowledge of HIV testing and mother-to-child transmission.
Results
This study showed that less than half of all pregnant women (47.9%) reported having been knowledgeable to be tested for HIV, which was a low percentage. The Internet was the primary source of information about HIV/AIDS for 28.2% of the respondents. Almost all pregnant women (98.2%) said they knew about HIV/AIDS. As well as (52.3%) understood how HIV/AIDS could be transmitted from mother to child and the role of antiretroviral drugs. And 71.6% believed that the tests were effective at reducing transmission from mother to child.
Conclusion
Pregnant women were found to have a low level of knowledge in this study. Knowledge must be transformed into action to make a difference. Therefore, health service organizations and other responsible bodies should implement activities that can promote behavioral change. Healthcare providers need to educate pregnant women about the importance of HIV testing and remove obstacles that prevent women from getting tested.
The Relationship Between Microbial Communities in Coffee Fermentation and Sense and Metabolite Profiles of Finished Products
Authors: Todhanakasem Tatsaporn , Tai Ngo , Pornpukdeewattana Soisuda , Charoenrat Theppanya , Young Briana , Wattanachaisaereekul Songsak 
Published: January 2024

Abstract

Coffee is a critical agricultural commodity and is used to produce premium beverages enjoyed by people worldwide. The microbiome of coffee beans has proven to be an essential tool that improves the flavor profile of coffee by creating aromatic flavor compounds through natural fermentation. Study of the microbial diversity of coffee beans has contributed to methods for rapid fermentation, as well as creating better quality of the final product. This study investigated the natural microbial consortium during wet process fermentation of coffee onsite in Thailand. Our study found 64 genera of bacteria and 59 genera of yeast/ fungi present during the fermentation process. A correlation between microbial diversity and biochemical characteristics including flavor, aroma and metabolic attributes was investigated.