Clinicopathologic characteristics and predictive nomogram of skip lymph node metastasis in gastric cancer by Xinwei Zhang, Yuwei Du, Yuegang Li, Chi Xue, Zhi Zhu

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Key Technology of SSL Encrypted Application Identification Under Imbalance of Application Class by Xuejiao Chen, Pan Wang, Shidong3 Liu

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Enhancing Classification Models With Sophisticated Counterfactual Images by Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

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QUANTITATIVE EXPRESSION FEATURES OF PD-1 AND TIM-3 CHECKPOINT MOLECULE RECEPTORS ON CD4⁺ AND CD8⁺ T-CELLS IN BREAST CANCER OF VARYING PROGRESSION DEGREES by Yu. A. Shevchenko, M. S. Kuznetsova, Yu. N. Khantakova, I. A. Obleukhova, A. A. Khristin, S. V. Sidorov, S. V. Sennikov

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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier by Hong Zheng MS, Wei Chen MS, Jun Liu MD, Lian Jian MD, Tao Luo BS, Xiaoping Yu MD

“…Introduction This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patients diagnosed with clinical stage I solid lung adenocarcinoma (LADC). …”
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Left atrial volume index and non-ischemic myocardial contrast pattern as a predictor of continued left ventricular remodeling in patients with ischemic cardiomyopathy: magnetic res... by T. A. Shelkovnikova, S. L. Andreev, A. S. Maksimova, V. Yu. Usov, K. V. Zavadovsky

“…To evaluate the heart morphological features and the significance of the non-ischemic myocardial contrast pattern in medium-term prognosis of continued left ventricular (LV) remodeling after surgery in patients with ischemic cardiomyopathy.Material and methods. …”
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Geological structure, lithological and petrophysical properties of Neft Daşlari deposit: patterns of changes in the reservoir properties of productive strata depending on the depth... by V. Sh. Gurbanov, L. A. Sultanov, O. S. Bryukhovetsky

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Coccolithophore Assemblage Dynamics and <i>Emiliania huxleyi</i> Morphological Patterns During Three Sampling Campaigns Between 2017 and 2019 in the South Aegean Sea (Greece, NE Me... by Patrick James F. Penales, Elisavet Skampa, Margarita D. Dimiza, Constantine Parinos, Dimitris Velaoras, Alexandra Pavlidou, Elisa Malinverno, Alexandra Gogou, Maria V. Triantaphyllou

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Altered spontaneous brain activity patterns in patients with unilateral acute open globe injury using amplitude of low-frequency fluctuation: a functional magnetic resonance imagin... by Tan G, Huang X, Ye L, Wu A, He L, Zhong Y, Jiang N, Zhou F, Shao Y

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The Effects of Low- vs. High-Glycemic Index Mediterranean-Style Eating Patterns on Subjective Well-Being and Sleep in Adults at Risk for Type 2 Diabetes: The MEDGICarb-Intervention... by Anna Hjort, Robert E. Bergia, Marilena Vitale, Rosalba Giacco, Gabriele Riccardi, Wayne W. Campbell, Rikard Landberg

“…Results: 161 adults with ≥2 features of the metabolic syndrome completed the intervention (53% females, mean age 56 ± 10 y, mean BMI 31 ± 3 kg/m²). …”
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Multi-Feature Fusion-Based Speech Disorder Classification Using MobileNetV3-EfficientNetB7, Linformer-Performer, and SHAP-Aware XGBoost by Abdul Rahaman Wahab Sait, Suresh Sankaranarayanan, P. Gouthaman

“…Hybrid MobileNet V3-EfficientNet B7and Linformer-Performer are employed to extract diverse features from the Mel-Spectrograms. An attention-based feature fusion is used to identify critical features indicating the SD patterns from the extracted features. …”
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STEERABLE TOROIDAL BIFOCAL LENS-ARRAY ANTENNA IN 57–64 GHZ RANGE by Alexander A. Maltsev, Valentin M. Seleznev, Alexander S. Rulkov, Olesya V. Bolkhovskaya

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Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

“…Images are processed by applying a region of interest (ROI) mask to remove background noise, followed by partitioning into grid blocks. Local binary pattern (LBP) texture features and RGB color features are extracted from these blocks to characterize surface properties of three beef types (Wagyu, regular, and fat-injected). …”
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Vas deferens infiltration by prostate cancer on prostate-specific membrane antigen-targeted 18F-DCFPyL positron emission tomography/computed tomography: A unique visual pattern by Yafu Yin, Channing J. Paller, Martin G. Pomper, Kenneth J. Pienta, Michael A. Gorin, Steven P. Rowe

“…Vas deferens invasion is a rarely encountered poor prognostic feature of PCa. In this case report, we describe a novel pattern of radiotracer uptake in a patient with PCa imaged with PSMA-targeted 18F-DCFPyL positron emission tomography/computed tomography that is consistent with diffuse vas deferens involvement.…”
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Filamentary Convolution for SLI: A Brain-Inspired Approach with High Efficiency by Boyuan Zhang, Xibang Yang, Tong Xie, Shuyuan Zhu, Bing Zeng

“…We propose filamentary convolution to replace rectangular kernels, reducing the parameters while preserving inter-frame features by focusing solely on frequency patterns. …”
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An Ensemble Approach for Detection of Malicious URLs Using SOM and Tabu Search Optimization by Simar Preet Singh, Abhilash Maroju, Mohammad Kamrul Hasan, Karan Tejpal

“…Enhanced methods that can handle large-scale datasets and identify new attack patterns are needed for the real-time identification of malicious URLs. …”
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An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention by Qifeng Niu, Hui Wang, Feng Xu

“…The core approach leverages the inherent multi-scale representation power of Res2Net to capture discriminative patterns across different granularities. Crucially, the integrated Sparse Attention module operates dynamically, selectively amplifying the most informative features while attenuating irrelevant background noise and redundant details. …”
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Robust identification method of website fingerprinting against disturbance by ZHANG Jingxi, LI Tengyao, TU Yukuan, LUO Xiangyang

“…Subsequently, a hybrid feature matrix (HFM) was constructed to resist various defense disturbance by combining the features of both packet-level and session-level. …”
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Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

“…This study proposes a real-time deep learning framework that combines the InceptionV3 architecture with Convolutional Block Attention Modules to enhance spatial and channel-level feature discrimination. The model is further optimized through a proposed attention module that intensifies attention to small and minute blood-related patterns, even under challenging conditions such as occlusions, motion blur, and low visibility. …”
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Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features by Islam Uddin, Salman A. AlQahtani, Sumaiya Noor, Salman Khan

“…The proposed framework employs a comprehensive feature extraction process, i.e., integrating pseudo single nucleotide composition (PseSNC), pseudo dinucleotide composition (PseDNC), and pseudo trinucleotide composition (PseTNC) to capture complex sequence patterns. …”
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