bluuebunny/crossref_metadata_2025_split huggingface dataset:
A disproportionate analysis of novel oral anticoagulants in the overall and pediatric populations: a pharmacovigilance study based on FDA Adverse Event Reporting System database
Authors: Guo Guimu , Chen Tingting , Ye Lingling , Zhou Jintuo , Zhang Jinhua 
Published: January 2025

Abstract

Objective: This study utilizes the FDA Adverse Event Reporting System (FAERS) database to analyze and compare the actual adverse event (AE) signals of novel oral anticoagulants (NOACs) in the overall population and pediatric patients.
Methods: This study conducted a comprehensive disproportionate analysis to assess the correlation between NOACs and AEs, covering from the third quarter of 2014 to the first quarter of 2024 in the overall and pediatric population. This analysis utilized statistical methodologies including the ROR, PRR, BCPNN, and EBGM to elucidate potential signals of drug-related AEs.
Results: In the pediatric population, there were 820 AE reports related to NOACs. Injury, poisoning and procedural complications (20.98%), Vascular disorders (8.90%), and Respiratory, thoracic and mediastinal Disorders (3.41%) are significant SOC categories of AEs, and PTs show high signal strength such as Haemorrhoidal haemorrhage (n=3, ROR [95% CI]: 1008.19[240.54;4225.69], PRR [95% CI]: 1004.51[240.45;4196.45], IC [IC025]: 2.81[0.74], EBGM [EBGM05]: 628.19[1.54]), Pelvic venous thrombosis (n=3, ROR [95% CI]: 240.04[71.46;806.33], PRR [95% CI]: 239.17[71.48;800.28], IC [IC025]: 2.81[0.74], EBGM [EBGM05]:209.4[1.59]), and Thrombophlebitis (n=3, ROR [95% CI]: 129.25[39.86;419.09], PRR [95% CI]: 128.78[39.88;415.9], IC [IC025]: 2.8[0.74], EBGM [EBGM05]: 119.66[1.48]). Additionally, clinicians should be vigilant for unexpected and strongly signaled adverse events, like Low birth weight baby, Suicide attempt, Intentional self-injury, Foetal exposure during pregnancy, and Alopecia .
Conclusion: This pharmacovigilance study provides valuable information on the use of NOACs in pediatric populations. It is crucial to closely monitor adverse events related to multiple systems and organs. However, the disproportionality analysis is hypothesis generating , causality and risk levels of adverse effects cannot be accurately inferred.
Glucagon-like peptide-1(GLP-1) Prevents Doxorubicin-Induced Cardiotoxicity by Regulating Macrophage Polarization
Authors: Wu Lujin , Qin Yating , Zheng Xi-Long , Zhang Guangyu , Zhou Qiang , Liu Lei 
Published: January 2025

Abstract

Aims
Anthracyclines, such as doxorubicin (DOX), are among the most potent chemotherapeutics for multiple malignancies. However, their clinical use has been limited by irreversible cardiotoxicity. Glucagon-like peptide-1 (GLP-1) has generated considerable interest as a novel therapeutic target in cardiovascular disease. This study aims to explore the potential role and mechanism of GLP-1 against DOX-induced cardiotoxicity in vivo and in vitro.
Methods
Tumor-bearing mice treated with or without DOX and GLP-1 were used to analyze their cardiac and cancer phenotype. High-throughput sequencing was performed to explore the underlying mechanism of GLP-1 treatment. Further, the downstream targets were verified at the cellular and animal levels.
Results
GLP-1 intervention significantly improved DOX-induced cardiac dysfunction, as evidenced by enhanced cardiac systolic function, reduced cardiac tissue fibrosis, and proper arrangement of cardiomyocytes. The mechanism was related to modulating macrophage polarization by regulating the PPAR-γ and NF-κB signaling pathways. Specifically, DOX treatment increased the M1 macrophage population while decreasing the M2 macrophage population in heart tissue. GLP-1 intervention reversed the imbalance of M1/M2 macrophages by promoting PPAR-γ translocation into the nucleus and suppressing active NF-κB translocation into the nucleus, thereby inhibiting pro-inflammatory cytokine production and reducing cardiac injury. This makes GLP-1 a potential strategy for treating cardiotoxicity induced by anti-cancer drugs.
Conclusions
Our results provide the first direct evidence that GLP-1 protects against DOX-induced cardiotoxicity by modulating macrophage polarization, offering new insights into potential therapeutic approaches for the clinical management of DOX-induced cardiomyopathy.
Voriconazole Adjustment for Liver Dysfunction (VALID): From Population Pharmacokinetic Model to the Real-World
Authors: Liu Huaiyuan , Zhao Yichang , Li Jiakai , Sun Zhihua , Zhang Bikui , Ma Jing , Jiang Yongfang , Zhao Jingjing , Ding Xuansheng , Yan Miao 
Published: January 2025

Abstract

Objective
Liver dysfunction affects drug metabolism, including voriconazole, used for treating fungal infections. This study evaluated the effectiveness and safety of a voriconazole dosing regimen adjusted for liver dysfunction (VALID) compared to standard dosing.
Methods
The study included liver dysfunction patients hospitalized between January 2020 and December 2023. Patients were divided into the VALID group and a control group. Data on demographics, medication, liver and kidney function, and adverse events were collected. Propensity score matching was used to balance the groups. Voriconazole levels were measured using liquid chromatography.
Results
The study analyzed 182 patients with 375 voriconazole measurements—39 in the VALID group and 143 in the control group. After matching, both groups were similar in baseline characteristics. The VALID group had a significantly higher target trough concentration achievement (89.7% vs. 48.7%, P < 0.0001) and lower initial voriconazole levels (2.46 mg/L vs. 4.13 mg/L, P = 0.0004). The VALID group also had fewer adverse events (15.4% vs. 38.5%, P = 0.02159). Efficacy between the two groups was similar (P = 0.9132). Factors like CYP2C19 phenotype and liver function influenced voriconazole levels.
Conclusion
The VALID regimen improved target trough levels and reduced adverse events compared to standard dosing. These findings support individualized dosing for better voriconazole therapy in liver dysfunction patients. Further research is needed to confirm these results in larger studies.
Multicamera-based Indoor Localization and Path Optimization for Mobile Robots Using Aruco Markers
Authors: Sevgi Abdulhamit , Koçer Hasan Erdinç 
Published: January 2025

Abstract

In indoor environments where GPS signals are unavailable, determining mobile robot positions is challenging. Common methods include SLAM, marker-based localization, inertial measurement units (IMUs), and hybrid positioning systems (HPS). SLAM enables simultaneous localization and mapping, while marker-based localization uses specific markers for position detection. IMUs track motion via velocity, acceleration, and angular velocity, and HPS combines sensors for improved accuracy. This study develops a route planning and motion optimization method using ArUco markers from the University of Córdoba. Detected via image processing, these markers guide robots by calculating the shortest and safest paths to targets. Multiple cameras enhance motion range and vision, while an automatic pan adjustment addresses overlaps and alignment issues, ensuring seamless image integration. The proposed method demonstrates the potential of multi-camera systems for reliable indoor navigation, offering promising applications in industrial and service domains.
Deciphering crop-specific rhizobacteriome assembly in cotton, sorghum, and soybean under hot semi-arid field conditions in Texas
Authors: Abdelrahman Mostafa , Jogaiaha Sudish , Abdelmoteleb Mohamed , Foker Mohamed , Nguyen Henry T. , Tran Lam-Son Phan 
Published: January 2025

Abstract

Background
Different crops may recruit specific rhizosphere microbiomes that support their survival under unfavorable conditions, including hot semi-arid climates. However, the processes driving microbiome assembly within different crops and their adaptation to such extreme environmental conditions remain poorly understood. This study investigates whether upland cotton (Gossypium hirsutum), sorghum (Sorghum bicolor), and soybean (Glycine max) recruit distinct or overlapping rhizospheric bacterial communities under hot semi-arid conditions in Lubbock, Texas, United States, with a focus on their potential role in enhancing crop resilience. By exploring rhizobacterial recruitment strategies and differential microbial associations in these crops, this study addresses critical gaps in plant-microbiome interactions and paves the way for practical applications in hot semi-arid agricultural systems.
Results
We found that the abundances and structures of rhizospheric bacterial communities differed among sorghum, soybean, and cotton, with the differences being closely linked to their predicted functional roles in stress adaptation and nutrient assimilation. Alpha and beta diversity analyses revealed that soybean rhizosphere exhibited the highest bacterial richness and diversity followed by cotton. In contrast, sorghum rhizobacteriome showed the lowest richness and less even distribution of rhizobacterial taxa compared with the other two crops, emphasizing crop-specific rhizobacterial associations. Actinobacteriotaand Firmicutes phyla were significantly enriched in sorghum rhizosphere, whereas Proteobacteria, Bacteroidota, and Acidobacteriotaphyla were significantly enriched in soybean and cotton rhizospeheres under hot semi-arid conditions. Functional prediction analysis demonstrated that sorghum-associated rhizobacteriome was significantly enriched in pathways related to stress adaptation, while soybean and cotton rhizobacteriomes exhibited more diverse pathways, primarily associated with nitrogen and sulfur assimilation.
Conclusions
These findings underscore the influence of crop-specific factors in shaping rhizobacteriome composition and function to ensure their behavior and performance under hot semi-arid conditions in Lubbock, Texas, United States, with sorghum favoring stress adaptation, soybean being linked to nitrogen and sulfur assimilation, and cotton displaying intermediate traits. Our results highlight the potential for leveraging rhizobacteriome in developing innovative cultivation strategies to enhance crop resilience and productivity under challenging environmental conditions.
Partial safety factors determination to model uncertainty on Persian historic masonry elements
Authors: Ghamari Mehrdad , Karimi MohammadSaeed 
Published: January 2025

Abstract

This research explores the determination of partial safety factors for Persian historical masonry walls, following Eurocode-6 principles, which account for material and geometric uncertainties. The study explores the impact of lateral constraints or boundary conditions (B.C.), Height-Length Proportion (α), the thickness of wall (t), and pre-compression levels as a gravity loading (P) on the structural behavior of these walls when subjected to uncertain conditions. Nonlinear pushover analyses were carried out on 200 masonry wall specimens, considering four α, ten variations in B.C. (including the impact of vertical (lateral walls) and horizontal (upper slabs) components), and three standard t (0.20, 0.35, and 0.50 m), all subjected to three different P (0.05, 0.1, and 0.2 MPa). The research also evaluates how variations in the modulus of elasticity and t affect the results under nonlinear analysis. Findings show that the Maximum Shear Capacity (Fu), maximum drift limit (δu/H), and effective stiffness (𝐾𝑒ff) are highly responsive to these variables. Higher Fu and 𝐾𝑒ff were observed with increased t, P, and B.C., while reducing α had the opposite effect. As B.C., t, and P increased, δu/H showed a reduction, while a decrease in α led to an increase. The estimated Fu ranged 114.8–1476.5 kN, δu/H varied 1.56–3.43, and 𝐾eff spanned 7.72–250.80 kN/mm. The proposed partial safety factors are 1.17–1.96 for material strength (γM), 1.16–1.77 for displacement capacity (γdu), and 1.15–1.96 for effective stiffness (γk). The results emphasize that increasing B.C., t, and reducing α result in higher γM and γk values, while γdu values decrease. Additionally, all safety factors rise with increased P. These findings offer important insights for enhancing the preservation of Persian historical masonry structures.
A Hybrid E-Learning Recommendation System Incorporating User Reviews and Ratings for Enhanced Course Selection
Authors: Hazar Manar Joundy , Jaballi Samawel , Maraoui Mohsen , Zrigui Mounir , Nicolas Henri 
Published: January 2025

Abstract

A recommendation system can be used in E-learning to suggest relevant and personalized resources. It uses data about learners' behaviors, such as the courses they have taken, the content they have viewed, and the assessments they have completed, to make recommendations for additional learning opportunities. In this work, we build a hybrid educational video recommender system based on learners’ reviews and ratings. We use a Latent Dirichlet Allocation (LDA) topic model on textual data extracted from educational videos to train language models as an input to a supervised Convolutional Neural Network (CNN) model. Additionally, we use a Latent Factor Model (LFM) to extract educational video features and learners' preferences from their historical data (ratings and reviews) as an output CNN model. In our proposed technique, we use hybrid user ratings and reviews to tackle sparsity and cold start problems in the recommender system. Our recommender uses reviews to predict a new sentiment matrix. For cases where reviews are absent (represented as empty cells in the sentiment matrix) or comments are ambiguous, the system utilizes normalized user ratings from the rating matrix, employing a tailored mathematical framework specifically designed for this purpose.
Analysis of breastfeeding status and influencing factors among medical staff in southwestern China
Authors: Dai Tingting , Wan Jiaxin , Liu Qiuyue , Liu Xiaoyan , Chen Cheng 
Published: January 2025

Abstract

Background
This study aims to evaluate the breastfeeding practices among medical staff in southwest China, identify the influencing factors, and provide recommendations for improving the exclusive breastfeeding rate and prolonging the duration of exclusive breastfeeding among medical professionals.
Methods
A cross-sectional survey was conducted among 685 medical staff who gave birth and were weaned between January 2019 and January 2024. The questionnaire included sections on general demographics, breastfeeding knowledge, breastfeeding practices, and return-to-work timing. Univariate and multivariate logistic regression analyses were employed to identify factors influencing exclusive breastfeeding, and R software was used to construct and validate a nomogram prediction model based on the findings.
Results
Of the 685 participants, 363 (52.9%) exclusively breastfed for less than 6 months (Group A), while 322 (47.1%) breastfed exclusively for 6 months or longer (Group B). Univariate analysis revealed statistically significant differences between the two groups in terms of maternal income, number of deliveries, early initiation of breastfeeding within one hour post-delivery, access to breastfeeding consultation during pregnancy, earliest work shift start time, diet regularity during lactation, husband's support for breastfeeding, and family support for breastfeeding (p < 0.05). Multivariate logistic regression analysis identified the number of deliveries, breastfeeding consultation during pregnancy, earliest start time of work shift, and family support for breastfeeding as independent factors influencing the continuation of exclusive breastfeeding for 6 months (p < 0.05). The nomogram prediction model for successful breastfeeding showed an area under the ROC curve of 0.753 (95% CI, 0.702–0.805), demonstrating good consistency between the predicted and observed outcomes, closely approximating the ideal curve.
Conclusion
Medical institutions should actively establish breastfeeding consultation clinics, work to minimize maternal work hours, and promote breastfeeding education to raise societal awareness, which will help improve the exclusive breastfeeding rate for infants under 6 months of age.
Role and mechanism of Pim-2 kinase inhibitor-induced immunogenic cell death in multiple myeloma
Authors: Liu Zhaoyun , Shen Hongli , Che Mengting , Zhao Xianghong , Wang Hao , Yang Chun , Fu Rong 
Published: January 2025

Abstract

Background: Immune dysfunction is a major component in the pathogenesis of multiple myeloma (MM), and restoring antimyeloma immunity has become a key research direction.
Methods: This study demonstrates, through in vivo and in vitro experiments, whether and how Pim-2 kinase inhibitors induce immunogenic cell death in MM.
Results: Pim-2 kinase inhibitors upregulated IRE1 phosphorylation and promoted XBP1 and CHOP transcription, thereby mediating endoplasmic reticulum (ER) stress in MM cells. ER stress and increased reactive oxygen species levels promoted damage-related molecular pattern expression and immunogenic cell death in MM cells. Furthermore, Pim-2 kinase inhibitor-treated MM cell lines upregulated the expression of activation molecules on the surface of dendritic cells (DCs) in patients with MM, stimulated T lymphocyte differentiation from naïve T cells to effector memory T cells, and promoted the expression of T lymphocyte functional molecules. In vivo, Pim-2 kinase inhibitors stimulated human DC maturation and activated functional T lymphocytes.
Conclusion: These data contribute to our knowledge about how Pim-2 kinase inhibitors regulate antimyeloma immunity and provide justification for applying Pim-2 kinase inhibitors in MM treatment.
Synthesis, structural diversity, and methanol vapor adsorption properties of three Hg(II) halide complexes derived from a helical Schiff base
Authors: Huang Chao , Jiang Tao , Lu Ji-Hong 
Published: January 2025

Abstract

The Schiff base condensation reaction between precursor diamine N,N'-bis(2-aminophenyl)-pyridine-2,6-dicarboxamide and 1,8-naphthyridine-2-carbaldehyde yielded a racemic compound (LP/LM), which was characterized by 1H/13C NMR, infrared spectroscopy, elemental analysis, and single crystal X-ray diffraction. Three complexes, [Hg2LI4] (1), [Hg2LBr4] (2), and [Hg2L2Cl4]‧2H2O (3) with different coordination configurations were obtained from the reaction of this compound with HgX2 (X = I−, Br−, and Cl−), respectively, and their crystal structures and coordination geometries were determined via single crystal X-ray diffraction techniques. Both 1 and 2 exist as dinuclear complexes with a 1:2 molar ratio of L and Hg(II), while 3 exists as a 44-membered metallamacrocycle with a 1:1 molar ratio of L and Hg(II). The structural diversity of these three complexes indicates that the counter anions have significant effects on the structural topology. In addition, the solid-state luminescence and the gas adsorption of these complexes towards methanol vapor at room temperature were investigated.
Towards Sustainable Urban Growth: The Role of Horizontal Ecological Compensation in Fostering Inclusive and Resilient Cities
Authors: Wang Hengli , Liu Hong , Xiao Hongce , Li Weiyi 
Published: January 2025

Abstract

Can horizontal ecological compensation (HEC) policies in China promote the development of more inclusive and resilient cities? This study explores the impact of HEC policies on urban growth, examining their role in advancing greener, more inclusive, and resilient cities aligned with global sustainability goals. Using panel data from 180 cities in the Yangtze and Yellow River basins (2007–2022) and an Inclusive and Resilient City (IRC) index, we assess the effect of HEC through a multi-period quasi-natural experiment. Our findings reveal that HEC policies positively influence IRC, mainly through industrial upgrading and green innovation, particularly in cities in the upper and middle river basins. The results are robust, confirmed by parallel trend analysis, placebo tests, propensity score matching, and trimming to account for endogeneity. This study enhances the understanding of ecological compensation and its role in fostering sustainable, resilient urban development, offering valuable insights for future policy initiatives.
Optimization of English Complex Long Sentence Machine Translation Algorithm Based on Big Data Corpus
Authors: Tang Wenli 
Published: January 2025

Abstract

Background
English complex long sentence optimization in English, a machine translation algorithm (MTA) is a computing system created to mechanically translate intricate, protracted statements from one language to another. The term MTA based on a big data corpus refers to a translation system that uses a large and varied set of textual materials for training and enhancing translation quality. It seeks to generate a translation in the target language that properly conveys the source sentence's content, structure, and nuanced expressions.
Methods
The study implemented a Refined Convolutional Neural Network (RG-CNN) translation produced by MTA is corrected after translation, as directed by the text type theory's translation strategy. Then, the translation is invited for confirmation by experts in computer and translation. EAPC_DS2019, AO2MNZ_DS2019, and SR_DS2019 datasets were gathered using the Twitter Streaming Application Programming Interface (API). English tweets were collected in one place for study. In the second round of data purification, any tweets that were not in English were taken out of the dataset.
Results
The experimental findings show that the following application of this system has a very high degree of accuracy, English translation outcomes, and big data English translation design Bilingual Evaluation Understudy (BLEU), which adequately validates its effectiveness. Machine translation's Word error rate is systematically classified, and the related RG-CNN provided reference ideas for translators working in this area and raised the standard of machine translation in this environment. The findings stated that the proposed technique has word error rates of 56 and 68 in the context of corpus and local data sets, respectively.
Exploration of the Underlying Mechanism of Jiawei Shixiao San in the Treatment of Endometriosis Using Network Pharmacology and Experimental Verification
Authors: Zhao Chuchu , Yang Huifen 
Published: January 2025

Abstract

Aim
Shixiao San, composed of Pollen Typha and Faeces Trogopterori, is a traditional Chinese medicine used for the the treatment of endometriosis. Jiawei Shixiao San is a modified formula derived from Shixiao San, adding with Sanguis Draconis, Lignum Sappan, Fritillariae thunbergii bulbus, Semen Coicis, and Radix Notoginseng. The purpose of this study was to elucidate the mechanism of Jiawei Shixiao San in combating endometriosis at a systemic level through network pharmacology and experimental verification.
Methods
The targets of Jiawei Shixiao San and endometriosis were retrieved from multiple databases. An herbs-compounds-genes network and a protein-protein interaction network were constructed to analyze target interactions. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were conducted using the DAVID database. Finally, CCK-8 assays and flow cytometry analyses were performed to evaluate the anti-endometriosis effects of the active compounds.
Results
A total of 157 common targets associated with herbs and endometriosis were identified for analysis. The key targets included AKT1, IL-6, TNF, ESR1, TP53, VEGFA, EGFR, and SRC. The potential active compounds identified were quercetin, pelargonidin, isorhamnetin, and kaempferol. Enrichment analysis suggested that Jiawei Shixiao San may treat endometriosis through the PI3K-Akt signaling pathway, resistance to EGFR tyrosine kinase inhibitors, endocrine resistance, and the AGE-RAGE signaling pathway. Further experimental validation demonstrated that kaempferol could inhibit the proliferation of endometrial stromal cells and induce apoptosis.
Conclusion
In summary, we conducted network pharmacology analysis combined with experimental verification to provide compelling evidence that Jiawei Shixiao San may treat endometriosis by regulating cell proliferation and apoptosis, as well as by modifying inflammation-related genes and signaling pathways.