Patterns of changing surface climate variability from the Last Glacial Maximum to present in transient model simulations by E. Ziegler, E. Ziegler, N. Weitzel, J.-P. Baudouin, M.-L. Kapsch, U. Mikolajewicz, L. Gregoire, R. Ivanovic, P. J. Valdes, C. Wirths, K. Rehfeld, K. Rehfeld

“…During the LGM and Holocene, they further reveal significant differences, as most simulations feature larger temperature variance during the LGM than the Holocene, in line with results from reconstructions.…”
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A two-stage model for enhanced mango leaf disease detection using an innovative handcrafted spatial feature extraction method and knowledge distillation process by Mohammad Manzurul Islam, Mst. Nasrat Jahan Niva, Abdullahi Chowdhury, Saleh Masum, Rifat Ara Shams, Taskeed Jabid, Md. Sawkat Ali, Md. Mostofa Kamal Rasel, Muhammad Firoz Mridha

“…In the first stage, we implement an innovative, block-based feature extraction technique using Local Directional Patterns (LDP) and Local Directional Pattern variance (LDPv) on a comprehensive dataset, MangoLeafBD, consisting of 4000 images, achieving satisfactory results in terms of detection accuracy, sensitivity, specificity, and false negative rate. …”
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Parametric and nonparametric two-sample tests for feature screening in class comparison: a simulation study by Elena Landoni, Federico Ambrogi, Luigi Mariani, Rosalba Miceli

“…AD, CvM, ZA and ZC tests proved to be the most sensitive tests in mixture distribution patterns, while still maintaining a high power in normal distribution patterns. …”
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Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network by Zijun Yang, Shi Zhou, Lifeng Zhang, Seiichi Serikawa

“…Traditional one-dimensional time series classification falls short in expressing intricate emotional patterns present in speech signals, posing challenges in accuracy and robustness. …”
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The emerging functions and clinical implications of circRNAs in acute myeloid leukaemia by Shuiqing Liu, Xingyu Wan, Yang Gou, Wuchen Yang, Wei Xu, Yuxuan Du, Xiangui Peng, Xiaoqi Wang, Xi Zhang

“…Circular RNAs (circRNAs) constitute a unique class of single-stranded RNAs featuring covalently closed loop structures that are ubiquitous across species. …”
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Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data by Huakun Que, Zetao Jiang, Zhifeng Zhou, Yongsheng He, Xin Liu

“…Methods: High-dimensional metering data from a city energy provider is processed using a Convolutional Autoencoder (CAE) to extract deep features and reduce dimensionality. These features are then fed into a Cascaded Long Short-Term Memory (CLSTM) network, which identifies anomalous patterns in the data. …”
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Integrated analysis and experimental validation reveal the prognostic and immunological features associated with coagulation in hepatocellular carcinoma by Guangzhen Qu, Kun Liu, Weiyu Xu, Dongming Li

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Status and serological features of occult hepatitis B virus infection among blood donors in Xuzhou by LIU Jiahui, WANG Bei, ZHOU Liling

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Visualizing Relaxation in Wearables: Multi-Domain Feature Fusion of HRV Using Fuzzy Recurrence Plots by Puneet Arya, Mandeep Singh, Mandeep Singh

“…Unlike ECGs’ linear traces, FRPs are two-dimensional images that reveal distinctive textural patterns corresponding to autonomic changes. These visually rich patterns make it easier for even non-experts with minimal training to track changes in relaxation states. …”
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Modeling inter-city population flows: a Deep Radiation model with multisource geographic features by Jingjing Liu, Lei Xu, Le Ma, Chao Wang, Nengcheng Chen

“…While the radiation model provides an interpretable framework by focusing on opportunity distribution rather than physical distance, it struggles with nonlinear migration patterns and relies solely on population size as its input. …”
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Electrocardiographic features suggesting mild myocarditis in the white athletes population during the covid-19 pandemic by Piotr Kosiorek, Renata Brycka-Safrończyk, Juliusz Kosel, Dorota Waloch

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Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing by Zixuan Wang, Xiang Zhang, Yuchuan Zhou, Yiyi Jiang, Haibin Xu

“…However, the nonlinear associations between zone-specific objective features (e.g., greenery, traffic lights) and subjective perceptions (e.g., beauty and boredom) remain underexplored. …”
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DISTINCTIVE FEATURES AND PROSPECTS FOR DEVELOPING INVESTIGATION METHODOLOGIES TO BE USED BY CONSTRUCTION FORENSICS EXPERTS IN ARBITRATION PROCEEDINGS by A. Butyrin, E. Stativa

“…The authors identify distinctive features of the process of developing methodologies that can be used by construction forensics experts in arbitration proceedings. …”
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Comparison of the relationship between key demographic features and physical activity levels across 22 countries by Chung Gun Lee, Elizabeth Kwon, Jason Paltzer, Chukwuemeka N. Okafor, Tyler J. VanderWeele, Byron R. Johnson, Joo Hee Choi

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Hybrid Deep Learning Architecture with Adaptive Feature Fusion for Multi-Stage Alzheimer’s Disease Classification by Ahmad Muhammad, Qi Jin, Osman Elwasila, Yonis Gulzar

“…Unlike static fusion methods, our adaptive feature fusion layer employs an attention mechanism to dynamically integrate ResNet50’s localized structural features and vision transformer (ViT) global connectivity patterns, significantly enhancing stage-specific Alzheimer’s disease classification accuracy. …”
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Overexpression of Osteopontin-a and Osteopontin-c Splice Variants Are Worse Prognostic Features in Colorectal Cancer by Daniella Mattos, Murilo Rocha, Josiane Tessmann, Luciana Ferreira, Etel Gimba

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Drug History and SLE Laboratory Findings Among Iraqi Patients: A Hospital‐Based Study by Hashim Talib Hashim, Ahmed Dheyaa Al‐Obaidi, Mustafa Najah Al‐Obaidi, Hossam Tharwat Ali, Idris Sula, Hozifa Alfaki, Abdelrahim Elamin, Alaa Hamza Hermis, Assalah Othman, Ahmed Qasim Mohammed Alhatemi

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Pore–Fracture Structure and Fractal Features of Carboniferous Taiyuan Formation Hydrocarbon Source Rocks as Investigated Using MICP, LFNMR, and FESEM by Dun Wu, Liu Zhao, Guangqing Hu, Wenyong Zhang

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Early Breast Cancer Prediction Using Thermal Images and Hybrid Feature Extraction-Based System by Doaa Youssef, Hanan Atef, Shaimaa Gamal, Jala El-Azab, Tawfik Ismail

“…This valuable information is encoded in the spatial and local intensity variations of acquired breast images, revealing hidden patterns. This article introduces a novel hybrid feature extraction approach that combines traditional and deep learning techniques to improve the prediction of breast cancer. …”
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Research prevalence of psoriasis in countries and Ukraine by А. А. Kotvitska, V. V. Carlo

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