Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor by Huali Li, Gang Ren, Rong Cai, Jian Chen, Xiangru Wu, Jianxi Zhao

“…Abstract Background and Objectives Recurrence and metastasis are the most important factors affecting the quality of life and survival rate of patients with gastrointestinal stromal tumors (GISTs). …”
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Wide Field-of-View Air-to-Water Rolling Shutter-Based Optical Camera Communication (OCC) Using CUDA Deep-Neural-Network Long-Short-Term-Memory (CuDNNLSTM) by Yung-Jie Chen, Yu-Han Lin, Guo-Liang Shih, Chi-Wai Chow, Chien-Hung Yeh

“…Results revealed that the proposed air-to-water OCC system can support a transmission rate of 7.2 kbit/s through a still water surface, and 6.6 kbit/s through a wavy water surface; this satisfies the hard-decision forward error correction (HD-FEC) bit-error-rate (BER).…”
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Discovery and molecular identification of a new orthophasmavirus in the Asian citrus psyllid (Diaphorina citri) by Song Zhang, Song Zhang, Jing Chen, Jing Chen, Luqin Liu, Luqin Liu, Zhipeng Xie, Zhipeng Xie, Jiamei Liang, Jiamei Liang, Fulin Yan, Fulin Yan, Yaqin Song, Xuefeng Wang, Xuefeng Wang, Changyong Zhou, Changyong Zhou, Mengji Cao, Mengji Cao, Jinxiang Liu, Jinxiang Liu

“…It was also detected in progeny of infected ACPs and in the leaves fed upon by infected individuals. The infection rate of CLas was reduced in ACPs infected with DcBV2, and vice versa.DiscussionDcBV2 was fully sequenced and represents a new Orthophasmavirus species. …”
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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults by Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang

“…The study identified three key factors—baseline disease counts, self-rated Activities of Daily Living (ADL), and self-rated health status—as critical predictors of multimorbidity trajectories.…”
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…We introduce Temporal Structural Graph Anomaly Detection (<sc>T-StructGAD</sc>), an unsupervised framework that leverages Graph Convolutional Gated Recurrent Units (<monospace>GConvGRU</monospace>s) and Long Short-Term Memory networks (<monospace>LSTM</monospace>s) to jointly model both structural and temporal dynamics in graph node embeddings. …”
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Efficacy of switching from originator adalimumab to biosimilar adalimumab-AACF in patients with axial spondyloarthritis: a 12-month observational study by Fanny Alcira Reyes Neira, Barbara Bayeh, Karina Rossi Bonfiglioli, Nadia Emi Aikawa, Ana Paula Luppino Assad, Renata Miossi, Fernando Henrique Carlos de Souza, Carlos Emilio Insfrán, Henrique Ayres Mayrink Giardini, Emily Figueiredo Vieira Neves Yuki, Eloisa Bonfa, Carla Gonçalves Schahin Saad, Ana Cristina de Medeiros-Ribeiro, Julio Cesar Bertacini de Moraes, Andrea Yukie Shimabuco

“…Ankylosing Spondylitis Disease Activity Score (ASDAS)-CRP remained stable when comparing T0 to T6 [1.56 (± 0.88) vs. 1.50 (± 0.82), P = 0.73] and T12 [1.56 (± 0.88) vs. 1.26 (± 0.86), P = 0.13]. A similar pattern was observed for ASDAS-erythrocyte sedimentation rate (ESR; P > 0.05) and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI; P > 0.05). …”
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Widespread geographic distribution of filarioid nematodes in caribou (Rangifer tarandus sspp.) in Canada by Aparna Mariyam Thomas, Guilherme G. Verocai, John Soghigian, Fabien Mavrot, Naima Jutha, Jan Adamczewski, Tracy Davison, Gwen Duytschaever, Arthur Fernandes, Allicia Kelly, Matthew R. Kulpa, Eve Lamontagne, Lisa-Marie Leclerc, Sara McCarthy, Ashley McLaren, Amanda D. Melin, Susan J. Kutz

“…The Arctic is currently experiencing an unprecedented rate of climate change, including warming temperatures and altered patterns of precipitation. …”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
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Relationship of psychoalgological status and results of neurosurgical treatment of patients with discogenic radiculopathy by V. I. Leonov, I. O. Kritskaya, D. V. Svistov, E. V. Litvinenko, T. V. Sergeeva, V. V. Flud, M. N. Kravtsov, S. D. Mirzametov, N. P. Alexeyeva, A. Yu. Shcherbuk, Yu. A. Shcherbuk

“…According to the long-term results of neurosurgical treatment, patients were divided into three groups: 1 – with a good result; 2 – patients with a number of preserved complaints, who rated the result of the operation as satisfactory; 3 – unsatisfactory outcome. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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Nosological aspects of hepatomegaly and splenomegaly at pediatric age by M. M. Kotovich, F. K. Manerov, E. V. Luchsheva

“…Frequency of hepatomegaly and/or splenomegaly of unspecified etiology was analyzed with correlation to outpatient clinic admission rate and results of routine inspections. Results. …”
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Life Style Practices And Health Risk Behaviors Of Medical Students: A Cross Sectional Study by Shireen Jawed, Sundus Tariq, Zehra Jamil, Rabiya Ali, Rehana Rehman

“…Subjects and Methods: In this cross-sectional study, 233 female students between 1 8–25 years of age, from first two years of medical college were administered a self-structured questionnaire Response of each item was rated on five-point Likert scale. Maximum points in the scale were five and the minimum was one for each item. …”
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What Kind of Information and Communication Technologies Do Patients with Type 2 Diabetes Mellitus Prefer? An Ecuadorian Cross-Sectional Study by Iván Chérrez-Ojeda, Emanuel Vanegas, Erick Calero, Karin Plaza, Jose A. Cano, Juan Carlos Calderon, Jorge Valdano, Jorge Oswaldo Gutierrez, Jose Guevara

“…The Internet was used by 45.2% of patients to obtain information about diabetes. SMS and email were rated as the most useful ICTs for receiving information (64.5% and 28.1%, resp.) and asking physicians about diabetes (63.8% and 26.1%, resp.). …”
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Perceptual (dis)similarities between colors and emotions: An empirical investigation with the image-based visual corpus analysis approach by Jinmeng Dou, Wenting Xue

“…The results reveal that (i) significant differences exist among the six colors in their effectiveness at capturing affective (dis)similarities among various emotional concepts, as well as in their association strength with the affective domain, and (ii) the valence and arousal ratings of emotion words are significantly correlated to the strength of their associations with five of the six color terms, with the exception of blue. …”
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Culture and body image: subcultural variations in coping strategies and their associations with psychological distress among European Canadians and East Asian Canadians by Leah Rose Wojcik, Takahiko Masuda

“…Participants included European Canadians (n = 156) and East Asian Canadians (n = 157) who rated the extent to which they used certain coping strategies in response to a body image threat. …”
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Short Pharmacogenomic Investigation of COMT rs4680 in Analgesic Needs of Pediatric Patients with Congenital Abnormalities: A Cross-Sectional Study by Kohar Hari Santoso, Anna Surgean Veterini, Retti Kartika Bakti, Khildan Miftahul Firdaus, Bambang Pujo Semedi, Lucky Andriyanto

“…Pain scores were measured using the Wong-Baker Faces Scale and Numeric Rating Scale. Results: Three genotype–phenotype combinations of the COMT rs4680 gene were identified: GG (high activity), AG (intermediate activity), and AA (low activity). …”
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