Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization by Lu Ding, Bo Chen, Zhou Zhou, Zhaojun Mei, Kan Cao, Xinyu Lu, Wei Chen

“…After rigorous screening and Mendelian randomization (MR) tests, genetically predicted overall BC (OR: 1.17, P = 0.0045) and ER(estrogen receptors) + BC (OR: 1.21, P = 0.0006) showed a potential causal association with intracranial meningioma. …”
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Molecular Characterization and Clinical Characteristics of m5C-Based RNA Methylation in Spinal Cord Injury: Validated by qPCR by Liang Cao, Wen Jun Pi, Qiang Zhang, Qing Li

“…We constructed a “gene signature” of m5C-based regulators of RNA modification to predict the prognosis of SCI using least absolute shrinkage and selection operator regression and random-forest strategy. …”
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Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment by Liuren Zhang, Linchen Chu, Maria E Sundaram, Yi Zhou, Xiu Sun, Zheng Wei, Chuanxi Fu

“…Simulations from choice models using the experimental data generated the coefficients of preference and predicted the uptake rate of different influenza vaccination programs. …”
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Contextualization of Trait Nexus and Gene Action for Quantitative and Qualitative Characteristics in Indian Mustard by Sumanta Prasad Chand, Sandip Debnath, Mehdi Rahimi, Mohd. Shaikhul Ashraf, Pankaj Bhatt, Saima Ahmed Rahin

“…Punjab Local was discovered to be an excellent general merge for reducing crop duration, whereas JD6 was an excellent combiner for seed yield per crop, aphid infestation indicator, seed yield per crop, and oil production per plant. The predictability ratio was found to be less than 0.5 for almost all traits, denoting that the nonadditive gene measure is involved in controlling the nature except days to 50% flowering, aphid infestation index, oil content, and oil yield per plant. …”
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Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p < 0.05). …”
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Efficient recovery of rare metal lanthanum from water by MOF-modified biochar: DFT calculation and dynamic adsorption by Qilan Huang, Qianru Zhang, Shuwen Zhao, Chuchen Zhang, Huixin Guan, Jianqiao Liu

“…Abstract In this research, a novel metal-organic framework-modified biochar composite (MIL-88b@BC) was created for the first time by modifying rice husk biochar using the excellent adsorption properties of metal-organic framework (MOF), as well as reducing the solubility of MOF using biochar as a substrate, aiming to improve the understanding of the adsorption characteristics of rare-earth metal recycling and to predict its adsorption mechanism. Density functional theory (DFT) computations allowed for rationally constructing the adsorption model. …”
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COVID-19 vaccine uptake in Skåne county, Sweden, in relation to individual-level and area-level sociodemographic factors: a register-based cross-sectional analysis by Per-Olof Östergren, Louise Bennet, Jonas Björk, Adam Mitchell, Mahnaz Moghaddassi, Malin Inghammar

“…Absolute changes in percentage vaccinated between affluent and poor areas were largely similar across individual country of birth, income and education, both for at least two doses and for the booster doses.Conclusions COVID-19 vaccine uptake was associated with higher sociodemographic classifications both at the individual level and area level. The predicted proportion vaccinated increased with more affluent socioeconomic conditions and concurrent increases in individual household income were the strongest indicators. …”
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Clinical features and factors associated with short-term prognosis in patients with pulmonary embolism by V.Y. Tseluyko, L.M. Yakovleva, S.M. Sukhova, O.V. Radchenko, T.V. Pylova, A.S. Vnukova, K.Yu. Kinoshenko

“…The study found that 25 (13.3 %) patients died within 30 days (group I): 19 (76.0 %) patients belonged to a high risk of predicted early death and 6 (24.0 %) – to intermediate-high risk. …”
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Investigating the Effect of Bamboo Fibers on The Engineering Properties of Laterite Soils in Road Construction. by Kiiza, Obed

“…The UCS – CBR developed relationship using Microsoft excel software 2013 were of the second order polynomial in the form, α₁x² - α₂x + c, at R² values of 0.89 and 0.97 for soaked and unsoaked conditions respectively indicating a high correlation between the CBR and UCS thus, can be used to predict the UCS at various CBR values and bamboo fibre contents in treated lateritic soils. …”
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Impact of Small-Scale Businesses on Provision of Employment to Informal Labor Force in Kabale Municipality. by Uwibanze, Frank

“…The collected data was analyzed using quantitative analysis which majorly involved six major activities namely, data preparation, counting, grouping, relating, predicting, and statistical testing. The study concluded that most business owners used their own savings as startup capital for their businesses, hence operating at a small level with a structural hierarchy of bosses and support staff. …”
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Designing a security-oriented leadership model of Mazandaran University of Medical Sciences by Saeid Miladigorji, Mohammad Hassan Shakki, Mojtaba Rezaei Rad

“…Theoretical literature Security: Security means predicting and providing government assistance to meet people's needs in times such as illness, unemployment, old age, being immune and free from threats or illegal actions (Sadeghi, 2021). …”
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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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