Numerical Analysis of Pressure Drops in Single-Phase Flow Through Channels of Brazed Plate Heat Exchangers with Dimpled Corrugated Plates by Lorenzo Giunti, Francesco Giacomelli, Urban Močnik, Giacomo Villi, Adriano Milazzo, Lorenzo Talluri

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Orthogonal intercellular signaling for programmed spatial behavior by Paul K Grant, Neil Dalchau, James R Brown, Fernan Federici, Timothy J Rudge, Boyan Yordanov, Om Patange, Andrew Phillips, Jim Haseloff

“…Abstract Bidirectional intercellular signaling is an essential feature of multicellular organisms, and the engineering of complex biological systems will require multiple pathways for intercellular signaling with minimal crosstalk. …”
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Changes of land use and landscape pattern along sea–land gradient in developed coastal region: A case study of Jiangsu Province, China by Jiahao Zhai, Lijie Pu, Lu Qie, Gaili He, Xiaoqing Wang, Rui Zhang, Ye Yuan, Rui Zhong, Yumeng Lu, Jiayi Xie, Jiawei Tao, Sihua Huang

“…Sea–land gradient zonality is one of the most fundamental geographic features that may have critical impact on changes in land use and landscape pattern. …”
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Assessing eco-physiological patterns of Ailanthus altissima (Mill.) Swingle and differences with native vegetation using Copernicus satellite data on a Mediterranean Island by Flavio Marzialetti, Vanessa Lozano, André Große-Stoltenberg, Maria Laura Carranza, Michele Innangi, Greta La Bella, Simonetta Bagella, Giovanni Rivieccio, Gianluigi Bacchetta, Lina Podda, Giuseppe Brundu

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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…However, existing methods primarily focus on modeling individual visual traits, interaction patterns, and scene-level contextual cues, often failing to capture the complex dependencies among these features and the hierarchical structure of social groups, which are crucial for effective reasoning. …”
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Modelling effective soil depth at field scale from soil sensors and geomorphometric indices by Mauricio Castro Franco, Marisa Domenech, José Luis Costa, Virginia Carolina Aparicio

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A Study on Partial Discharge Fault Identification in GIS Based on Swin Transformer-AFPN-LSTM Architecture by Jiawei Li, Shangang Ma, Fubao Jin, Ruiting Zhao, Qiang Zhang, Jiawen Xie

“…Aiming at the problem of manual feature extraction and insufficient mining of feature information for partial discharge pattern recognition under different insulation faults in GIS, a deep learning model based on phase and timing features with Swin Transformer-AFPN-LSTM architecture is proposed. …”
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High-Performance Triboelectric Nanogenerator with Double-Side Patterned Surfaces Prepared by CO₂ Laser for Human Motion Energy Harvesting by Dong-Yi Lin, Chen-Kuei Chung

“…Compared to TENGs with flat friction layers and single-side-patterned friction layers, the double-side-patterned MW-MC-TENG demonstrates superior output performance due to increased cone deformation and contact area. …”
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Random forest-driven mortality prediction in critical IBD care: a dual-database model integrating comorbidity patterns and real-time physiometrics by Zhenze Zhang, Zhenze Zhang, Caiqing Zhao, Caiqing Zhao, Yijun Zhou, Ling Yao, Peng Liu, Ziling Fang, Nian Fang, Nian Fang

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Causal ECGNet: leveraging causal inference for robust ECG classification in cardiac disorders by Mei Wang, Cong You, Wei Zhang, Zibo Xu, Qi Liang, Qiang Li

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An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

“…Afterwards, the Shapley Additive exPlanations (SHAP) method is applied for feature selection and dimensionality reduction, providing detailed explanations of each feature’s contribution to classification performance. …”
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Attention dual transformer with adaptive temporal convolutional for diabetic retinopathy detection by Mishmala Sushith, Ajanthaa Lakkshmanan, M. Saravanan, S. Castro

“…The fine patterns like microaneurysms, and larger anatomical regions, including hemorrhages are focused on dual spatial transformer block which provides comprehensive and detailed analysis of spatial features. …”
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Lexical Materials of West Siberian Tatar in Manuscript Heritage of Russian Academics G. Z. Bayer and G. F. Müller by T. N. Dmitrieva

“…A graphic-phonetic analysis of the material reveals distinctive features of vowel and consonant patterns characteristic of the Tobol-Irtysh dialect in the first half of the 18th century.…”
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Smart crop disease monitoring system in IoT using optimization enabled deep residual network by Ashish Saini, Nasib Singh Gill, Preeti Gulia, Anoop Kumar Tiwari, Priti Maratha, Mohd Asif Shah

“…Preprocessing is done on the input images using median filtering. Various features, such as Histogram of Oriented Gradient (HoG), statistical features, Spider Local Image Features (SLIF), and Local Ternary Patterns (LTP) are extracted. …”
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A Multi-Scale Adaptive Fusion Network: End-to-End Interpretable Small-Sample Classifier for Motor Imagery EEG by Qiulei Han, Yan Sun, Ze Song, Hongbiao Ye, Tingwei Chen, Jian Zhao

“…Existing studies often struggle with feature extraction, dynamic feature selection, and temporal modeling, failing to capture critical EEG patterns effectively. …”
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From theory to empirics and back: A misunderstanding around the Veblenian dichotomy by A. V. Vernikov, A. A. Kurysheva

“…Research findings indicate that the articles by Russian institutionalists contain a systematic bias with regard to the treatment of traditional norms and values as merely ceremonial ones, implying backwardness and archaic patterns, which impede technological progress and “modernization”.Scientific novelty: the application of Veblenian analytical tools in an applied institutional study is reconsidered. …”
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MetaBiome: a multiscale model integrating agent-based and metabolic networks to reveal spatial regulation in gut mucosal microbial communities by Javad Aminian-Dehkordi, Andrew Dickson, Amin Valiei, Mohammad R. K. Mofrad

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A Graph-Based Multimodal Fusion Framework for Assessment of Freezing of Gait in Parkinson’s Disease by Ningcun Xu, Chen Wang, Liang Peng, Xiao-Hu Zhou, Jingyao Chen, Zhi Cheng, Zeng-Guang Hou

“…Using the interpretability of GMFF, we identify the gait feature set that effectively characterizes the gait patterns of PD patients and then explore the impact of FOG symptoms on their walking ability under both the “ON” and “OFF” medication states. …”
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TRILINGUALISM AS AN OPTIMISING EDUCATIONAL FACTOR OF MASTERING A SECOND FOREIGN LANGUAGE WITHIN THE FORMAT OF COMPETENCE-BASED APPROACH by A. Likhacheva, T. Lomteva

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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…First, most methods fail to adequately integrate multimodal information such as sequence, structure, and disorder properties, leading to inadequate characterization of complex interaction patterns. Second, existing models have difficulty in capturing cross-dependent features between peptides and proteins, limiting the prediction performance. …”
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