Multiomics reveals tumor microenvironment remodeling in locally advanced gastric and gastroesophageal junction cancer following neoadjuvant immunotherapy and chemotherapy by Yong Liu, Xia Wang, Rui Liu, Le Zhang, Hongli Li, Ting Deng, Lijun Ma, Yanhui Zhang, Lan Su, Yi Ba, Zhi Ji, Jiaqi Xin, Duo Zuo, Xinze Lv, Shaohua Ge, Tingting Ding

“…Least absolute shrinkage and selection operator regression was employed for feature gene selection and 13 genes were ultimately used to construct a predictive model for identifying MPR after surgery. …”
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Systemic immune-inflammatory biomarkers combined with the CRP-albumin-lymphocyte index predict surgical site infection following posterior lumbar spinal fusion: a retrospective stu... by Zixiang Pang, Jiawei Liang, Jiayi Chen, Yangqin Ou, Qinmian Wu, Shengsheng Huang, Shengbin Huang, Yuanming Chen

“…Consensus feature selection across the seven top-performing ML algorithms identified AISI, SII, CALLY and SLSI as independent predictors of SSI. …”
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MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference by Peishan Li, Peishan Li, Peishan Li, Lutao Gao, Lutao Gao, Lutao Gao, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lin Peng, Lin Peng, Lin Peng, Chunhui Bai, Chunhui Bai, Chunhui Bai, Linnan Yang, Linnan Yang, Linnan Yang

“…The experimental results of four metirs, NDCG@10, NDCG@20, Recall@10 and Recall@20, showed that the method has a better performance than the baseline model.…”
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Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2 by Gustav Müller-Franzes, Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn

“…We introduce the Medical Slice Transformer (MST) framework to adapt 2D self-supervised models for 3D medical image analysis. MST combines a Transformer architecture with a 2D feature extractor, i.e., DINOv2. …”
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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego A. Medina-Herrera, Jorge A. Mejía-Luquez, Remberto R. Martínez, William O. Burgos-Paz, Lorena A. Aguayo-Ulloa

“…Data collection was conducted using a cellphone camera and a handheld VIS-NIR spectrometer. Feature extraction to build the dataset involved image segmentation, performed using the Mahalanobis distance algorithm, as well as spectral processing to calculate multiple vegetation indices. …”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…However, multi-source noise in industrial environments can significantly degrade the performance of PEC sensors, thereby limiting their detection accuracy. …”
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Frailty in older adults patients: a prospective observational cohort study on subtype identification by Zhikai Yang, Chen Ji, Ting Wang, Wei He, Yuhao Wan, Min Zeng, Di Guo, Lingling Cui, Hua Wang

“…Abstract Background While the FRAIL scale has been used in primary care, cluster analysis on frail patients in a hospital setting has not been performed. Objectives To identify potential subtypes of frail patients, and develop a simple, clinically applicable model for improved patient management. …”
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Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction by Bahram Shahri, Ali Tajik, Mohsen Moohebati, Vahid Mahdavizadeh

“…The decision curve analysis showed an increased net benefit when STOP-BANG was incorporated. Feature importance analysis ranked STOP-BANG highest in models, reinforcing its relevance. …”
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Exploring Genomic Differences between a Pair of <i>Vitis vinifera</i> Clones Using WGS Data: A Preliminary Study by Daniela Araya-Ortega, Felipe Gainza-Cortés, Gonzalo Riadi

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Deep Learning Approaches for Retinal Disease Identification in Fundus Imaging: A Comprehensive Overview by Ismael Abdulkareem Ali, Sozan Abdullah Mahmood

“…Various datasets, feature extraction techniques, and metrics for performance evaluation are discussed. …”
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Med-DGTN: Dynamic Graph Transformer with Adaptive Wavelet Fusion for multi-label medical image classification by Guanyu Zhang, Yan Li, Tingting Wang, Guokun Shi, Li Jin, Zongyun Gu, Zongyun Gu

“…It outperforms prior state-of-the-art methods in 5 of 14 disease categories.DiscussionThis investigation establishes that joint modeling of dynamic disease correlations and wavelet-optimized feature representation significantly enhances multi-label diagnostic capabilities. …”
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A THERP/ATHEANA Analysis of the Latent Operator Error in Leaving EFW Valves Closed in the TMI-2 Accident by Renato A. Fonseca, Antonio Carlos M. Alvim, Paulo Fernando F. Frutuoso e Melo, Marco Antonio B. Alvarenga

“…This integration provides a more realistic and comprehensive modeling of accident sequences by considering preaccidental and postaccidental contexts, which, in turn, can contribute to more realistic PSA (Probabilistic Safety Assessment) evaluations and decision making.…”
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Recognition of pivotal immune genes NR1H4 and IL4R as diagnostic biomarkers in distinguishing ovarian clear cell cancer from high-grade serous cancer by Yumin Ke, Meili Liang, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Yueli Wang, Xinyan Zhou, Zhuna Wu

“…Least Absolute Shrinkage and Selection Operator (LASSO) regression model and Multiple Support Vector Machine Recursive Feature Elimination (mSVM-RFE) methods were applied to identify predictive genes. …”
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Preparation of Nitrogen-Doped Carbon-Supported Co-V Catalyst for Catalystic Depolymerization of Lignin to Produce Monophenolic Compounds by Yuqiao MA, Xingwang LIU, Yong QIAN, Xinping OUYANG

“…Mechanistic investigations using a β-1 lignin model compound (diphenylethanone) revealed that the cleavage of Cα—Cβ bonds proceeds via two pathways: (1) O2 is reduced on the catalyst surface to generate reactive oxygen species, which coordinates with the Cβ—H bond to form a peroxide intermediate. …”
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Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane, Daniel Maposa

“…This study investigates wind speed prediction using advanced machine learning techniques, comparing the performance of Vanilla long short-term memory (LSTM) and convolutional neural network (CNN) models, alongside the application of extreme value theory (EVT) using the r-largest order generalised extreme value distribution (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>E</mi><mi>V</mi><msub><mi>D</mi><mi>r</mi></msub></mrow></semantics></math></inline-formula>). …”
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Prediction of the Calorific Value and Moisture Content of <i>Caragana korshinskii</i> Fuel Using Hyperspectral Imaging Technology and Various Stoichiometric Methods by Xuehong De, Haoming Li, Jianchao Zhang, Nanding Li, Huimeng Wan, Yanhua Ma

“…Four preprocessing methods were used to preprocess the spectral data, with standard normal variate (SNV) preprocessing performing best on the quantitative moisture content detection model and Savitzky–Golay (SG) preprocessing performing best on the calorific value detection method. …”
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Regulatory Impact Assessment in Post-Soviet Countries: Results, Problems and Prospects by I.  D. Turgel, A.  Zh. Panzabekova

“…Using the methodology of comparative research, the study collates the concept content of “regulatory impact assessment” in some of the post-soviet countries, the structure of the objects of assessment and government levels, at which it is performed. The research analyzes the methodological framework of the regulatory impact assessment and models of the organization of monitoring and quality control of regulatory impact assessment in the countries from the analyzed set. …”
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EVALUATING THE MOLECULAR INTERACTION OF SAMBUCUS PLANT BIOACTIVE COMPOUNDS TOWARD TNF-R1 AND TRAIL-R1/R2 AS POSSIBLE ANTI-CANCER THERAPY BASED ON TRADITIONAL MEDICINE: THE BIOINFOT... by WIRA EKA PUTRA, MUHAIMIN RIFA’I

“…Approximately 31 bioactive compounds of Sambucus plant were screened as potential ligands to bind the TNF-R and TRAIL-R1/R2 protein models. Molecular docking was performed to evaluate the interactive features of the ligands toward the apoptosis channels. …”
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Crucial role of TRPC1 and TRPC4 in cystitis-induced neuronal sprouting and bladder overactivity. by Mathieu Boudes, Pieter Uvin, Silvia Pinto, Marc Freichel, Lutz Birnbaumer, Thomas Voets, Dirk De Ridder, Rudi Vennekens

“…We did not observe a difference neither in bladder contraction features of double knock-out animals nor in cyclophosphamide-induced referred pain behavior.…”
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LONG-TERM CHANGES IN CRUSTAL MOVEMENTS AND DEFORMATIONS BEFORE AND DURING THE 2016 KUMAMOTO EARTHQUAKE SEQUENCE by V. I. Kaftan, V. N. Tatarinov, R. V. Shevchuk

“…The study of the seismic deformation process was performed using the data from 70 continuous permanent GPS stations for the period 2009–2016.The movement and deformation features found characterize the kinematics of the axial zone of the southwestern part of the island arc of the Japanese archipelago. …”
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