Network pharmacology-based screening of the active ingredients and mechanisms of Cymbaria daurica against diabetes mellitus by Ruyu Shi, Dongxue Chen, Mingyue Ji, Baochang Zhou, Ziyan Zhang, Chunhong Zhang, Minhui Li

“…Molecular docking was performed to validate the predicted results. Then, a HepG2 cell insulin resistance model and a high-fat, high-glucose diet combined with a streptozotocin-induced T2DM rat model was established to assess the fasting glucose changes and lipid profile after C. daurica treatment, respectively. …”
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Sparse Gene Coexpression Network Analysis Reveals EIF3J-AS1 as a Prognostic Marker for Breast Cancer by Xin Chen, Zuyuan Yang, Chao Yang, Kan Xie, Weijun Sun, Shengli Xie

“…Predictive and prognostic biomarkers facilitate the selection of treatment strategies that can improve the survival of patients. …”
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Genome Analysis of Rhodococcus Sp. DSSKP-R-001: A Highly Effective β-Estradiol-Degrading Bacterium by Hongyan Zhao, Kejian Tian, Qing Qiu, Yu Wang, Hongyan Zhang, Shuang Ma, Shenbao Jin, Hongliang Huo

“…The genomic sketches included a predicted protein-coding gene of approximately 5.4 Mbp with G + C content of 68.72% and 5180. …”
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Assessment of Postresuscitation Volume Status by Bioimpedance Analysis in Patients with Sepsis in the Intensive Care Unit: A Pilot Observational Study by Bram Rochwerg, Jason H. Cheung, Christine M. Ribic, Faraz Lalji, France J. Clarke, Susheel Gantareddy, Nischal Ranganath, Aziz Walele, Ellen McDonald, Maureen O. Meade, Deborah J. Cook, Trevor T. Wilkieson, Catherine M. Clase, Peter J. Margetts, Azim S. Gangji

“…It is feasible to use BIA to predict postresuscitation volume status and patient-important outcomes in septic ICU patients. …”
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Genome-Wide Study of Plant-Specific PLATZ Transcription Factors and Functional Analysis of <i>OsPLATZ1</i> in Regulating Caryopsis Development of Rice (<i>Oryza sativa</i> L.) by Tao Yang, Xin-Tong Xu, Li-Jun Tang, Wen-Tao Wei, Yuan-Yuan Zhao, Jin-Xin Liu, Xue-Feng Yao, Heng Zhao, Chun-Ming Liu, Ai-Ning Bai

“…Most of the OsPLATZs localized to the nuclei, and were predicted to bind to DNA sequences by AlphaFold3, suggesting that they likely function as conventional transcription factors. …”
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Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder by Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Yunpeng Cai, Wenhui Xi, Yi Pan

“…In case of degraded predictive accuracy when data size is extremely small, a transfer learning strategy is proposed here as a potential solution. …”
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Coupling Relationship between Lithofacies and Brittleness of the Shale Oil Reservoir: A Case Study of the Shahejie Formation in the Raoyang Sag by Zhaojing Song, Junqian Li, Xiaoyan Li, Ketong Chen, Chengyun Wang, Peng Li, Yongbo Wei, Rixin Zhao, Xiaocheng Wang, Shasha Zhang, Mengying Yan, Haiyan Geng

“…The lithofacies and brittleness index were predicted by the response characteristics between mineral compositions and logging curves. …”
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Self-reports map the landscape of task states derived from brain imaging by Brontë Mckeown, Ian Goodall-Halliwell, Raven Wallace, Louis Chitiz, Bridget Mulholland, Theodoros Karapanagiotidis, Samyogita Hardikar, Will Strawson, Adam Turnbull, Tamara Vanderwal, Nerissa Ho, Hao-Ting Wang, Ting Xu, Michael Milham, Xiuyi Wang, Meichao Zhang, Tirso RJ Gonzalez Alam, Reinder Vos de Wael, Boris Bernhardt, Daniel Margulies, Jeffrey Wammes, Elizabeth Jefferies, Robert Leech, Jonathan Smallwood

“…We used machine learning to combine these reports with descriptions of brain function to form a ‘state-space’ that reliably predicted patterns of brain activity based solely on unseen descriptions of experience (N = 101). …”
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Ethephon Stimulation and Yield Response of Some Hevea Clones in the Humid Forests of South West Cameroon by J. N. Njukeng, P. M. Muenyi, B. K. Ngane, E. E. Ehabe

“…These results could be used as a first step towards deriving regional climate models for predicting rubber yields, especially in an era of global climate change.…”
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New Players for Advanced Prostate Cancer and the Rationalisation of Insulin-Sensitising Medication by Jennifer H. Gunter, Phoebe L. Sarkar, Amy A. Lubik, Colleen C. Nelson

“…Obesity and type 2 diabetes are recognised risk factors for the development of some cancers and, increasingly, predict more aggressive disease, treatment failure, and cancer-specific mortality. …”
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Bioinformatics Analysis, Prokaryotic Expression and Biological Activity of Lysin from Vibrio parahaemolyticus Phage vB_VpP_1 by ZHANG Defu, YANG Wenjing, LIU Ke, LIU Qingqing, BAI Wutong, LI Fan, LÜ Xinran, BAI Xue, TAN Xiqian, LI Xuepeng, LI Jianrong

“…Tertiary structure analysis showed that the lysin was a spherical hydrophilic protein, which was predicted to contain two catalytic domains. This was consistent with the basic characteristics of Gram-negative phage lysins. …”
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A molecular basis for spine color morphs in the sea urchin Lytechinus variegatus by Maria Wise, Madison Silvia, Gerardo Reyes, Rushane Dunn, Thomas M. Onorato, Cosmo Pieplow, Aidan Furze, El Hebert, Nathalie Oulhen, Dan Ritschoff, David R. McClay, Gary Wessel

“…The abundance of mRNAs encoding flavin mono-oxygenase variancts and polyketide synthase was predictive of the color of the adult and antibodies identified their histological location in the spine cells. …”
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Solo Sonographically Guided PCNL under Spinal Anesthesia: Defining Predictors of Success by Akbar Nouralizadeh, Hamid Pakmanesh, Abbas Basiri, Mohammad Aayanifard, Mohammad Hossein Soltani, Ali Tabibi, Farzaneh Sharifiaghdas, Seyed Amir Mohsen Ziaee, Naser Shakhssalim, Reza Valipour, Behzad Narouie, Mohammad Hadi Radfar

“…Logistic regression showed that a lower age and a larger stone burden significantly predicted positive residual stones. Fifteen percent of patients presented with grade I or II and six percent showed grade III complication based on Clavien classification. …”
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The Increasing Financial Impact of Chronic Kidney Disease in Australia by Patrick S. Tucker, Michael I. Kingsley, R. Hugh Morton, Aaron T. Scanlan, Vincent J. Dalbo

“…Prevalence and expenditure predictions were made using a linear regression model. …”
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Mechanical responses of triply periodic minimal surface gyroid lattice structures fabricated by binder jetting additive manufacturing by Yingmi Xie, Yiwei Mao, Yuhua Heng, Jianquan Tao, Lin Xiang, Xiuyuan Qin, Qingsong Wei

“…The FE method can describe and predict the mechanical properties and deformation behaviors of the GLS with Ti6Al4V alloy as the base material.…”
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Impact of Perioperative Blood Transfusion on Postoperative Complications and Prognosis of Gastric Adenocarcinoma Patients with Different Preoperative Hemoglobin Value by Lian Xue, Xiao-Long Chen, Zhang Wei-Han, Kun Yang, Xin-Zu Chen, Bo Zhang, Zhi-Xin Chen, Jia-Ping Chen, Zong-Guang Zhou, Jian-Kun Hu

“…And intraoperative blood transfusion predicted poor prognosis (P=0.001). Conclusion. Perioperative blood transfusion might lead to poor survival in gastric adenocarcinoma patients with POHb >100 g/L and transfused patients had more postoperative complications; thus it is better to refrain from unnecessary perioperative blood transfusion especially intraoperative transfusion.…”
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Electronic Structure and Magnetic Coupling of Pure and Mg-Doped KCuF3 by Fausto Cargnoni, Simone Cenedese, Paolo Ghigna, Mario Italo Trioni, Marco Scavini

“…Both materials are correctly predicted as being 1D antiferromagnetic insulators, and the superexchange parameters in the crystallographic ab planes and along the c direction measure +10 and -600 K, respectively. …”
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Neutrophil Extracellular Traps Contribute to the Disease Severity of Dengue Virus Infection by Cucunawangsih Cucunawangsih, Ratna Sari Wijaya, Nata Pratama Hardjo Lugito, Ivet Suriapranata

“…Future studies on the predictive value of NETs markers and the potential NETs as a targeted therapy in dengue disease should be priori­tized. …”
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A finite element model for biomechanical characterization of ex vivo peripheral nerve dysfunction during stretch by Nicholas C. Vasas, Adam M. Forrest, Nathaniel A. Myers, Michael B. Christensen, Jenny L. Pierce, Sidney M. Kaufmann, Kimberly B. Lanaghen, Randal C. Paniello, Julie M. Barkmeier‐Kraemer, Jonathan P. Vande Geest

“…We also developed a finite element model that can predict stretch‐induced signaling deficits, applicable for complex nerve geometries and injuries. …”
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Electrophysiological Predictors of Clinical Outcome in Traumatic Neuropathies: A Multicenter Prospective Study by Palma Ciaramitaro, Mauro Mondelli, Eugenia Rota, Bruno Battiston, Arman Sard, Italo Pontini, Giuliano Faccani, Giuseppe Migliaretti, Aristide Merola, Dario Cocito, Italian Network for Traumatic Neuropathies

“…Serial NCS assessments predict the functional recovery in TN, increasing the accuracy of peripheral nerves surgical decision-making process.…”
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