Identification and validation of a lenvatinib resistance-related prognostic signature in HCC, in which PFKFB4 contributes to tumor progression and lenvatinib resistance by Jinfeng Wang, Jianfei Shi, Lili Mi, Ning Li, Xin Han, Man Zhao, Xiaoling Duan, Guangjie Han, Jiaojiao Hou, Fei Yin

“…Mutation signatures, therapeutic response, functional enrichment, and immune profile analyses were performed in the two groups. …”
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Predictive potential of cardiovascular risk factors and their associations with arterial stiffness in people of European and Korean ethnic groups by T. A. Brodskaya, V. A. Nevzorova, K. I. Shakhgeldyan, B. I. Geltser, D. A. Vrazhnov, Yu. V. Kistenev

“…Its predictive potential was realized only in combination with functional and metabolic status parameters of patients. …”
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Quantitative proteomic data of flotillin-2 interactome within detergent resistant membranes of HeLa cells by Anita Hryniewicz-Jankowska, Michał Tracz, Ilona Opiełka, Katarzyna Augoff, Aleksander Czogalla, Aleksander F. Sikorski

“…Flotillin-binding protein networks serve as scaffolds, organizing lipid rafts and facilitating the recruitment of other raft-associated proteins such as receptors and downstream signaling molecules to regulate various intracellular pathways, including those involved in cell proliferation, migration, and endocytosis.Flotillins belong to the SPFH (stomatin/prohibitin/flotillin/HflK/C) domain-containing protein family, also known as the prohibitin homology (PHB) domain, which enables membrane association via acylation and hydrophobic hairpin motifs that anchor them to the inner leaflet of the plasma membrane. The functional diversity of flotillin proteins within membrane microdomains primarily stems from their interactions with other proteins.Data presented in this article characterize the proximal interactome of flotillin-2 within detergent-resistant membranes (DRMs) using BioID, a proximity-dependent biotinylation technique. …”
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<i>Bacillus tropicus</i> YJ33 and <i>Medicago sativa</i> L. Synergistically Enhance Soil Aggregate Stability in Saline–Alkali Environments by Jingjing Li, Yajuan Che, Shiyang Chen, Mengge Liu, Mengmeng Diao, Chao Yang, Wenke Jia

“…Soil salinization represents a significant global environmental challenge, necessitating the urgent amelioration of saline–alkali lands. As a critical functional component of the soil system, soil aggregates play a pivotal role in enhancing soil structure and are essential for nutrient cycling and plant growth. …”
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Voxel- and surface-based morphometry in the cortical thickness and cortical and subcortical gray matter volume in patients with mild-to-moderate Alzheimer’s disease by Kaidi Li, Kaidi Li, Dingling Xie, Zhengyong Zhang, Chunyu Fu, Chunyu Fu, Chunyang Li

“…Volume/thickness reduction was correlated with lower MMSE/MoCA scores, confirming functional relevance. ROC analysis revealed that combining CT and GMV improved cognitive impairment prediction compared to single measures. …”
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Saturation Oxygenation Pressure Index: A Novel Non-invasive Approach for Evaluating Pulmonary Disease Severity in Neonates on Non Invasive Ventilation by Swetha Naikodi, AS Jagadish, R Premalatha, B Ravichander

“…Continuous distending pressure is crucial for achieving adequate Functional Residual Capacity (FRC) in these patients. …”
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Comparison of 46 Cytokines in Peripheral Blood Between Patients with Papillary Thyroid Cancer and Healthy Individuals with AI-Driven Analysis to Distinguish Between the Two Groups by Kyung-Jin Bae, Jun-Hyung Bae, Ae-Chin Oh, Chi-Hyun Cho

“…As AI classification algorithms to categorize patients with PTC, K-nearest neighbor function, Naïve Bayes classifier, logistic regression, support vector machine, and eXtreme Gradient Boosting (XGBoost) were employed. …”
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ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors by Xiaojian Zhou, Jicheng Kan, Nur Fatin Liyana Mohd Rosely, Xu Duan, Jiajing Cai, Zihan Zhou

“…The Minimum Point Distance based IoU(MPDIoU) loss function is used to calculate localization loss, improving detection accuracy while preventing gradient explosion. …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, V. V. Dzhakhnaev

“…The tkinter module was used for the graphical interface. The predict() function utilizes the trained model for predictions based on the feature vector.…”
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Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites by Sunil Kumar Pradhan, Subhayu Kabiraj, Shivin Kumar Gupta, Abhishek Singh, Padmakar G. Chavan, Shubham S. Patil, Trilok Nath Pandey

“…By leveraging machine learning (ML) models, we predict the trends of emission current density (J) as a function of the applied electric field(E) and the emission current stability (I) over time(t) for Aluminium-Graphene (AlGr) composites with varying graphene weight% (wt%) greater than 1 and less than 2 (1.25, 1.5, 1.75, and 2.0). …”
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A Near-Real-Time Model for Predicting Electricity Disruptions in Texas During Winter Storms by Jangjae Lee, Sangkeun Lee, Supriya Chinthavali, Stephanie Paal

“…For model optimization, Bayesian optimization was employed using Root Mean Squared Error (RMSE) as the objective function. In results, when comparing Group 2 (the optimized group) with Group 1 (the non-optimized group), it was found that optimization did not always lead to a reduction in RMSE and Mean Absolute Error (MAE). …”
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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

“…Subsequently, the prediction model was developed and internally validated using five machine learning (ML) algorithms including lasso and elastic-net regularized generalized linear model (glmnet), k-nearest neighbors (kNN), support vector machine (SVM) with Radial Basis Function Kernel, random forest (RF), and eXtreme Gradient Boosting (XGBoost). …”
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Thermodynamic Work of High-Grade Uterine Prolapse Patients Undergoing Transvaginal Mesh Repair with Total Hysterectomy by Hui-Hsuan Lau, Cheng-Yuan Lai, Ming-Chun Hsieh, Hsien-Yu Peng, Dylan Chou, Tsung-Hsien Su, Jie-Jen Lee, Tzer-Bin Lin

“…This study aimed to clarify the impact of TVM-HTX on the voiding function of high-grade UP patients by comparing pre- and post-operatively measured pressure–flow and pressure–volume investigations. …”
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AER U-Net: attention-enhanced multi-scale residual U-Net structure for water body segmentation using Sentinel-2 satellite images by Naga Surekha Jonnala, Shaik Siraaj, Y. Prastuti, P. Chinnababu, B. Praveen babu, Shonak Bansal, Prashant Upadhyaya, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…The model is trained using the Adam optimizer combined with a binary cross-entropy loss function, making it highly effective for binary segmentation tasks with an IoU score of 0.94, highlighting its effectiveness for practical environmental applications.…”
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Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort by Hoang Van Dung, Vu Manh Tan, Nguyen Thi Dieu, Pham Van Linh, Nguyen Van Khai, Tran Thi Ngan, Nguyen Thi Thu Phuong

“…SHAP analysis identified AST, baseline platelet count, and renal function as key contributors. DCA and clinical impact curves demonstrated potential benefit in supporting real-time risk stratification. …”
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Effects of different kinds and concentrations of fatty acids on differentiation and development of cotton fiber by Sun Yingchao, Liu Wei, He Qiuling, Zhu Shuijin, Chen Jinhong

“…It also has a pivotal role in the regulation to cotton production and quality formation.For exploring the function of fatty acid in the developing process of cotton fiber, this study took upland cotton standard system TM-1 as experimental material, to investigate the effect of different kinds of fatty acids on fiber differentiation and development along with fiber length. …”
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Dynamic calculation of heat-flow coupled mine ventilation network with introduction of air volume fluctuation factor by Tong JIA, Heng MA, Ke GAO

“…Using this as a characterization variable, with unsteady environmental and gradient flow fields as boundary conditions, an infinitesimal approach was used to analyze the time-variant law of heat-flow coupled property of airflow. …”
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A Transformer-LSTM-SVR hybrid model for AI-driven emotional optimization in NEV embedded interior systems by Zongming Liu, Xuhui Chen, Xinan Liang, Zhicheng Sun, Fengqi Yang, Wenwen Ou, Linwei Li, Xiayan Qin

“…Abstract With the rapid expansion of the new energy vehicle (NEV) market, a shift from function-oriented toward emotion-oriented interior design has emerged as a key factor in enhancing user experience and brand differentiation. …”
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Effects of Simulated Nitrogen and Phosphorus Deposition on Dioecious <i>Populus cathayana</i> Growth and Defense Traits by Junyu Li, Yongmei Liao, Wanrong Wei, Xiaoqin Xu, Jundong He, Tingting Zhao

“…Human activities have increased the imbalance in atmospheric N and P deposition, which changes soil nutrient availability and subsequently affects the structure and function of terrestrial ecosystems. Dioecious plants are important parts of terrestrial ecosystems and are characterized by sex-related differences in their response to the external environment and always exhibit a skewed sex ratio, which makes them more vulnerable to climate change and increases their risk of extinction. …”
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Indicators of insulin resistance as predictors of 28-day mortality in patients with VA-ECMO: a retrospective study by You Zhou, Zhi Cheng, Pingping Gu, Yu Zhang, Wanying Xu, Xin Wang

“…This provides new evidence for risk stratification based on the integration of metabolism and organ function, supporting the research exploration of targeted intervention for insulin resistance to improve prognosis.…”
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