The effect of intellectual capital and strategic leadership on organizational citizenship behavior with the moderating role of employees' professional ethics by seyed reza mousavifard

“…The results of structural equation modeling and model fitting showed that intellectual capital predicts changes in organizational citizenship behavior by 46%. …”
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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

“…Detection was evaluated via sensitivity, positive predictive value (PPV), and false positive rate per case (FP/vol), while segmentation was assessed using the Dice similarity coefficient (DSC) and Hausdorff distance (HD95). …”
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Association of high-sensitivity C-reactive protein with hepatic fibrosis in patients with metabolic dysfunction-associated steatotic liver disease by Yunfei Wu, Yunfei Wu, Guojun Zheng, Guojun Zheng, Fan Zhang, Fan Zhang, Fan Zhang, Wenjian Li, Wenjian Li

“…ObjectiveThis study aimed to investigate the association between high-sensitivity C-reactive protein (hsCRP) levels and hepatic fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) and assess its predictive efficacy.MethodsThe study included 1,477 participants from the United States and 1,531 from China diagnosed with MASLD. …”
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The Association between Resolvin D1 Levels and Gestational Diabetes Mellitus: Implications for Perinatal Outcomes by Zeynep Seyhanli, Burak Bayraktar, Mevlut Bucak, Gulsan Karabay, Betul Tokgoz Cakir, Can Ozan Ulusoy, Gizem Aktemur, Selver Ozge Sefik, Serap Topkara Sucu, Sevki Celen, Ali Turhan Caglar

“…The analysis involved determining the optimal Resolvin D1 cut-off levels for predicting composite adverse neonatal outcomes in GDM using receiver operating characteristic curve (ROC) analysis. …”
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The clinical role of blood coagulation and platelet receptors gene allelic variants in development of cryoglobulinemic vasculitis at chronic hepatitis C by Yekaterina Ye. Starostina, M. V. Sokolova, L. M. Samokhodskaya, T. П. Rozina, T. N. Krasnova, Ye. B. Yarovaya, N. A. Mukhin

“…Carriage of mutant genotypes of PAI-675 5G/4G and ITGB3 1565 T/C genes is a factor which allows to predict CGV development in CHC patients, and can determine clinical manifestations of the latter.…”
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Epigenome-wide DNA methylation profiling in septic and non-septic patients with similar infections: potential use as sepsis biomarkers by Ian López-Cruz, Ian López-Cruz, José Luis García-Giménez, José Luis García-Giménez, José Luis García-Giménez, Manuel Madrazo, Manuel Madrazo, Judit García-Guallarte, Laura Piles, Federico V. Pallardó, Federico V. Pallardó, Federico V. Pallardó, Arturo Artero, Arturo Artero

“…Notably, SLX4 hypomethylation showed the highest predictive value for poor prognosis (AUC 0.821), while SERPINA1 hypomethylation exhibited strong diagnostic potential for sepsis (AUC 0.858).DiscussionOur results underscore the potential of DNA methylation changes, particularly in immune-related genes, to enhance the early detection of sepsis and to stratify patients based on severity. …”
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Design, synthesis, SAR and ADMET analyses of the novel class of synthetic 7-amino[1,2,5]oxadiazolo[3,4-b]pyridine-6-carboxylate derivatives with vasorelaxant activity by Anatolii Varenyk, Roman Vydzhak, Svitlana Panchishin, Irina Ivanova, Victor Zhirnov, Volodymyr Brovarets

“…The only problematic property of these highly active vasorelaxants is their in silico predicted very high carcinogenicity, which may be incompatible with their long-term use. …”
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miR-21 Overexpression Promotes Esophageal Squamous Cell Carcinoma Invasion and Migration by Repressing Tropomyosin 1 by Zhuojian Shen, Xia Xu, Liangzhan Lv, Honglue Dai, Ju Chen, Baishen Chen

“…These results suggest that miR-21 may be a novel predictive marker and therapeutic target for treatment of ESCC.…”
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Latent class cluster analysis of knowledge on acute myocardial infarction in community residents: a cross-sectional study in Tianjin, China by Jing Wang, Xu Zhang, Yan Zhang, Jing Ma, Nan Zhang, Yuan Wang, Jing Gao, Jian-yong Xiao, Yin Liu, Ji-xiang Wang, Xiao-wei Li, Ming-dong Gao, Jing-xian Wang, Shi-bo Xu

“…Multivariable logistic regression was performed to identify factors that predicted high knowledge membership.Participants A structured questionnaire was used to interview 4200 community residents aged over 35 in China. 4122 valid questionnaires were recovered.Results For AMI symptoms and RFs, the knowledge levels were classified into two or three distinct clusters, respectively. 62.7% (Symptom High Knowledge Cluster) and 39.5% (RF High Knowledge Cluster) of the respondents were able to identify most of the symptoms and modifiable RFs. …”
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Age-Related Differences in the Association between Plasma High-Sensitivity C-Reactive Protein and Noncalcified or Mixed Coronary Atherosclerotic Plaques by Tiewei Li, Ning Chen, Zhengan Liu, Zhiming Shan, Geng Dong, Junmei Yang, Minglu Qi

“…Thus, the aim of this study was to investigate the role of hsCRP in predicting the presence of NCP/MP and evaluate whether age has any impact on this association. …”
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Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort by Mireya Martínez-García, Guadalupe O. Gutiérrez-Esparza, Guadalupe O. Gutiérrez-Esparza, Manlio F. Márquez, Manlio F. Márquez, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…Extreme Gradient Boosting (XGBoost), Logistic Regression (LG) and Support Vector Machines (SVM) were employed to evaluate the relationship between these factors and hypertension risk.ResultsThe Random Forest (RF) Importance Percent was calculated to assess the structural relevance of each variable in the model, while Shapley Additive Explanations (SHAP) analysis quantified both the average impact and direction of each feature on individual predictions. Additionally, odds ratios were calculated to express the size and direction of influence for each variable, and a sex-stratified analysis was conducted to identify any gender-specific risk factors.DiscussionThis nested study provides evidence that sleep disorders, a sedentary lifestyle, consumption of high-fat foods, and energy drinks are potentially modifiable risk factors for hypertension in a Mexico City cohort of young and relatively healthy adults. …”
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From Natural Hosts to Agricultural Threats: The Evolutionary Journey of Phytopathogenic Fungi by Asanka Madhushan, Dulan Bhanuka Weerasingha, Evgeny Ilyukhin, Paul W. J. Taylor, Amila Sandaruwan Ratnayake, Jian-Kui Liu, Sajeewa S. N. Maharachchikumbura

“…Understanding their evolutionary trends is crucial for predicting and designing control measures against future disease outbreaks. …”
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Protocol for the enhanced management of multimorbid patients with COPD and severe asthma: role of indoor air quality by Emili Vela, Isaac Cano, Josep Roca, Antoni Sisó-Almirall, Carme Hernandez, Ebymar Arismendi, Ramon Farré, Alba Gómez-López, María Figols, Antonio Montilla-Ibarra, Núria Sánchez-Ruano, Benigno Sánchez, Marta Sorribes, Jordi Piera-Jiménez, Jaume Benavent, Jose Fermoso, Rubèn González-Colom

“…Accordingly, the main objective is to implement a novel integrated care preventive service for enhanced management of these patients, as well as to evaluate its potential for value generation.Methods and analysis At the end of 2024, the specifics of the novel service will be defined through the articulation of its four main components: (1) enhanced lung function testing through oscillometry, (2) continuous monitoring of indoor air quality as a potential triggering factor, (3) digital support with an adaptive case management (ACM) approach and (4) predictive modelling for early identification and management of exacerbations. …”
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OCT Biomarkers in Neovascular Age-Related Macular Degeneration: A Narrative Review by Cristian Metrangolo, Simone Donati, Marco Mazzola, Liviana Fontanel, Walter Messina, Giulia D’alterio, Marisa Rubino, Paolo Radice, Elias Premi, Claudio Azzolini

“…Optical coherence tomography (OCT) is the most widely used technology for the diagnosis and follow-up of nAMD patients, which is widely used to study and guide the clinical approach, as well as to predict and evaluate treatment response. The aim of this review is to describe and analyze various structural OCT-based biomarkers, which have practical value during both initial assessment and treatment follow-up of nAMD patients. …”
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Liver Transplantation without Perioperative Transfusions Single-Center Experience Showing Better Early Outcome and Shorter Hospital Stay by Nicolás Goldaracena, Patricio Méndez, Emilio Quiñonez, Gustavo Devetach, Lucio Koo, Carlos Jeanes, Margarita Anders, Federico Orozco, Pablo D. Comignani, Ricardo C. Mastai, Lucas McCormack

“…Recipient MELD score was not a predictive factor for P-RBC transfusion. Patients requiring P-RBC transfusions had worse postoperative outcome. …”
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Therapeutic effect and potential mechanism of Fufang Danshen dripping pills for stable coronary heart disease: a randomized controlled trial by Li-qin Meng, Li-qin Meng, Pei-ying Huang, Qing-min Li, Yu-chao Feng, Yu-chao Feng, Yu-chao Feng, Ding-jian Li, Guang-long Wu, Bo-wen Ao, Guo-chao Wu, Guo-xiong Zhang, Bo-jun Chen, Bo-jun Chen, Bo-jun Chen

“…Furthermore, we utilized mass spectrometry analysis, network pharmacology, and lipidomics to predict the potential mechanisms of FFDS in the treatment of SCHD.ResultsFollowing treatment, FFDS demonstrated significant improvements in serum triglyceride levels (P = 0.013) and a reduction in the frequency of angina episodes (P = 0.021). …”
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Neoadjuvant apatinib addition to sintilimab and carboplatin-taxane based chemotherapy in patients with early triple-negative breast cancer: the phase 2 NeoSAC trial by Guoshuang Shen, Zhilin Liu, Miaozhou Wang, Yi Zhao, Xinlan Liu, Yujin Hou, Wenbiao Ma, Jingqi Han, Xiaofeng Zhou, Dengfeng Ren, Fuxing Zhao, Zitao Li, Shifen Huang, Yongzhi Chen, Yingjian He, Yan Liu, Zijun Zhu, Yongxin Li, Jinming Li, Mengting Da, Hongnan Mo, Feng Du, Liang Cui, Jing Bai, Zhen Liu, Fei Ma, Jiuda Zhao

“…Specimens collected pre-neoadjuvant therapy and post-surgery were retained for comprehensive analysis of predictive biomarkers and the impact on the tumor microenvironment. …”
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Integrated serum metabolomics and network pharmacology reveal molecular mechanism of Qixue Huazheng formula on peritoneal fibrosis by Xiaohui Meng, Xiaohui Meng, Li Sheng, Yongqing You, Yongqing You, Huibo Dai, Manshu Yu, Funing Wang, Funing Wang, Ziren Zhou, Ziren Zhou, Yun Shan, Meixiao Sheng

“…Targets underlying QXHZF-mediated improvement of PD-induced PF were predicted using network pharmacology analysis. Metabolites associated with QXHZF treatment of PD-related PF were analyzed by serum metabolomics. …”
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Waste ceramic powder for sustainable concrete production as supplementary cementitious material by Yasin Onuralp Özkılıç, Yasin Onuralp Özkılıç, Alireza Bahrami, Yusuf Güzel, Ali Sinan Soğancı, Memduh Karalar, Essam Althaqafi, Ali İhsan Çelik, Özer Zeybek, P. Jagadesh

“…Furthermore, taking into account our experimental research and previous studies on concrete produced utilizing WCP, straightforward equations were provided for practical use to predict CS, STS, and FS. In addition, scanning electron microscopy was done to validate the findings obtained from the experimental part of the study. …”
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NDVI Estimation Throughout the Whole Growth Period of Multi-Crops Using RGB Images and Deep Learning by Jianliang Wang, Chen Chen, Jiacheng Wang, Zhaosheng Yao, Ying Wang, Yuanyuan Zhao, Yi Sun, Fei Wu, Dongwei Han, Guanshuo Yang, Xinyu Liu, Chengming Sun, Tao Liu

“…The Normalized Difference Vegetation Index (NDVI) is an important remote sensing index that is widely used to assess vegetation coverage, monitor crop growth, and predict yields. Traditional NDVI calculation methods often rely on multispectral or hyperspectral imagery, which are costly and complex to operate, thus limiting their applicability in small-scale farms and developing countries. …”
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