Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

“…While numerous SM datasets have been developed for passive microwave remote sensing systems operating at various frequencies, the consistency of SM dry-down patterns observed by different sensors remains uncertain. Additionally, the use of distinct algorithms across SM products complicates direct comparisons. …”
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MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma by Yuli Zeng, Huiqin Wu, Yanqiu Zhu, Chao Li, Dongyang Du, Yang Song, Sulian Su, Jie Qin, Guihua Jiang, Guihua Jiang, Guihua Jiang

“…A clinical-radiological model (CR model) was constructed, and two fusion models were generated by combining the radiomics or/and CR models using a stacking algorithm (fusion_R and fusion_CR). Model performance was evaluated using AUC, accuracy, sensitivity, and specificity.ResultsThe MDelta model demonstrated higher sensitivity compared to the MCVT-AP and MCVT-PVP models. …”
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Identification of marker genes associated with oxidative stress in hypertrophic cardiomyopathy using bioinformatics analysis and experimental validation by Jian Zhuo, Ding Ding, Mengkang Fan, Weiwei Lu, Xiaochen Lu, Lihong Yao, Hongzhuan Sheng

“…GSE36961 and GSE141910 were downloaded from the Gene expression Omnibus (GEO) database, and genes associated with oxidative stress were searched in the Gene Ontology (GO) database. After differential analysis, marker genes were obtained using LASSO and SVM-RFE algorithms. …”
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Molecular insights into ulcerative colitis and orbital inflammation by Kang Tan, Pei Liu, Zixuan Wu, Xi Long, Yunfeng Yu, Pengfei Jiang, Qinghua Peng

“…Machine learning algorithms identified eight potential genes for diagnostic and therapeutic use, with CXCL10 emerging as a key player in the pathogenesis of NSOI and UC. …”
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A recurrence model for non-puerperal mastitis patients based on machine learning. by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

“…Univariate analysis was used to examine differential indicators, and variable selection was conducted through LASSO regression. …”
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A network meta-analysis of maintenance therapy in chronic lymphocytic leukemia. by Cho-Hao Lee, Po-Huang Chen, Chin Lin, Chieh-Yung Wang, Ching-Liang Ho

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Insulin resistance quantified by estimated glucose disposal rate predicts cardiovascular disease incidence: a nationwide prospective cohort study by Shiyi Tao, Lintong Yu, Jun Li, Ji Wu, Xuanchun Huang, Zicong Xie, Tiantian Xue, Yonghao Li, Lilan Su

“…The area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, Hosmer–Lemeshow test, net reclassification improvement (NRI), and decision curve analysis (DCA) were employed to evaluate the clinical efficacy of eGDR in identifying CVD. …”
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Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivari... by Si Chen, Rui Nie, Yi Wang, Haoran Guo, Yan Wang, Haixia Luan, Xiaoli Zeng, Hui Yuan

“…Key predictors were identified using Least absolute shrinkage and selection operator (LASSO) regression and the Boruta algorithm. Restricted cubic splines (RCSs) were used to examine nonlinear relationships. …”
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Predictive value of ENLIGHT-DP in patients with metastatic lung adenocarcinoma treated with immune checkpoint inhibitors and platinum chemotherapy directly from histopathology slid... by Eli Pikarsky, Anna Elia, Gal Dinstag, Omer Tirosh, Tuvik Beker, Ranit Aharonov, Hovav Nechushtan, Leon Gugel, Yaron Kinar, Michael Tabi, Tzivia Gottlieb, Aron Popovtzer, Johnathan Arnon, Yakir Rottenberg, Philip Blumenfeld

“…ENLIGHT-DP predicts response to ICI and targeted therapies given H&E slide scans in two steps: (1) predict individual messenger RNA expression directly from high-resolution H&E scanned slides using DeepPT, a digital-pathology-based algorithm. (2) Use these values as input to ENLIGHT, a transcriptome-based platform that predicts response to ICI and targeted therapies derived from drug-specific networks of gene expressions. …”
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Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data by In-Seon Lee, Won-mo Jung, Hi-Joon Park, Younbyoung Chae

“…Participants received the stimuli at four different locations on the upper and lower limbs (two sites each) for 5 min while blood-oxygen-level-dependent activity (BOLD) was measured using 3-Tesla MRI. …”
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RESULTS OF USTEKINUMAB TREATMENT IN PATIENTS WITH PSORIATIC ARTHRITIS IN THE RUSSIAN FEDERATION ACCORDING TO THE DATA OF PSUMMIT 1 AND PSUMMIT 2 by Yu. L. Korsakova, A. A. Godzenko, A. O. Pchelintseva, O. Yu. Grigoryeva, L. N. Denisov, E. L. Nasonov

“…T helper type 17 cells (Th-17)  play a leading role in the development of inflammation in psoriasis and PsA so different biologicals affecting interleukins (IL) 17 and 23 are being intensively investigated. …”
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S100A7 as a predictive biomarker in malignant transformation of oral epithelial dysplastic lesions by Jeffrey Soparlo, Lachlan McLean, Christina McCord, Linda Jackson-Boeters, Michael Shimizu, Michael Robinson, Wanninayake M. Tilakaratne, Mark R. Darling

“…The objective of this study was to evaluate S100A7 expression in OPMD which transformed and to correlate these results with the 3-tier and 2-tier dysplasia grading systems, and an S100A7 immunohistochemistry-based signature algorithm (S100A7 ARS). …”
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Integrative bioinformatics analysis identifies METTL1 as a regulator of immune infiltration and prognosis in breast cancer by Xiao-bin Lin, Yu-zhi Yao, Hong-min Ma, Cai-rong Zhu, Qi-rong Wen

“…Co-expressed genes and differentially expressed genes related to METTL1 were identified using Pearson correlation and Wilcoxon tests, with overlapping genes subjected to protein-protein interaction network construction to identify hub genes via degree algorithm. …”
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Experience of using internal fixation in the treatment of patients with inflammatory complications of mandibular fractures: a retrospective study by Alexander S. Pankratov, Zauri P. Gotsiridze, Mariya A. Karalkina

“…Study goal — To evaluate the efficacy of plate osteosynthesis in the treatment of patients with inflammatory complications of mandibular fractures on a large sample. …”
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Analysis of Electrical Machines’ State by Measuring the Interturn Resistance in Its Windings by A. V. Isaev, U. V. Suchodolov, K. A. Lyubinsky, A. I. Golubovich

“…Also, as a result of the study, mathematical dependencies were determined that characterize the main operations performed by the device and a mathematical model was developed for obtaining of the interturn resistance value in the diagnosed windings from the value of the measured phase difference for the AIR63V4U3 asynchronous motor.The developed method and a device based on it allow measuring interturn resistances in the electrical machines’ windings without the need to remove it from the technological process and fix the beginning of defect formation, and, thereby, evaluate its current and future performance in real time.…”
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Fuzzy Data Modeling and Parameter Estimation in Two Gamma Populations by Vijay Kumar Lingutla, Nagamani Nadiminti

“…This study addresses the challenge of estimating parameters for two Gamma populations that share a common scale parameter but differ in their shape parameters, within the context of fuzzy data. …”
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A cross-stage features fusion network for building extraction from remote sensing images by Xiaolong Zuo, Zhenfeng Shao, Jiaming Wang, Xiao Huang, Yu Wang

“…The deep learning-based building extraction methods produce different feature maps at different stages of the network, which contain different information features. …”
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UAV-SfM Photogrammetry for Canopy Characterization Toward Unmanned Aerial Spraying Systems Precision Pesticide Application in an Orchard by Qi Bing, Ruirui Zhang, Linhuan Zhang, Longlong Li, Liping Chen

“…This study selected mango trees as the research sample and evaluated the differences between UAV aerial photography with a Structure from Motion (SfM) algorithm and airborne LiDAR in the results of extracting canopy parameters. …”
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PIC2O-Sim: A physics-inspired causality-aware dynamic convolutional neural operator for ultra-fast photonic device time-domain simulation by Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu

“…Optical simulation plays an important role in photonic hardware design flow. The finite-difference time-domain (FDTD) method is widely adopted to solve time-domain Maxwell equations. …”
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Vibration, current, torque, RPM dataset for multiple fault conditions in industrial-scale electric motors under randomized speed and load variationsMendeley DataMendeley DataMendel... by Wonho Jung, Junho Kim, Kangmin Jang, Sung-Hyun Yun, Daeguen Lim, Minje Jin, Yong-Hwa Park

“…Unlike existing public datasets that often assume constant speed or isolated fault types, this dataset uniquely incorporates multi-fault, multi-severity conditions under randomized speed/load variations, filling critical gaps in real-world applicability for robust fault diagnosis algorithms. The dataset enables robust evaluation of machine learning models and signal processing algorithms for fault detection, condition monitoring, and predictive maintenance in rotating machinery. …”
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