Accounting for temporal and spatial autocorrelation to examine the effects of climate change on vegetation greenness trend in China by Lingwei Chen, Likai Zhu, Cuiyutong Yang, Zizhen Dong, Rui Huang, Jijun Meng, Min Liu

“…The common practice to detect and explain greenness pattern from remote sensing time series is mostly based on pixel-by-pixel analysis, which often fails to account for spatial autocorrelation and may lead to spurious patterns. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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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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Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, FENG Qi-shuai

“…Traditional BP neural network is a typical mehtod to solve ECT system of flow pattern identification. It is applied to the simple problems in industrial applications，but there are many defects in solving complex industrial problems. …”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

“…The results indicate the following: (1) During 1990–2020, urban expansion in the Pearl River Delta urban agglomeration exhibited a “stepwise growth” pattern, with an annual expansion rate of 3.7%. Regional land use remained dominated by forest (accounting for over 50%), while construction land surged from 6.5% to 21.8% of total land cover. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Attentional bias correction training (ABMT) aims to modify these attention patterns with the aim of alleviating anxiety symptoms. …”
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Dietary intake and five types of mental disorders: a bidirectional Mendelian randomization study by Yichun Zhang, Mingzhu Zhang, Qihua Guan, Pengcheng Liu, Wangxin Zhang, Song Yang, Hualei Dong, Haifeng Hou

“…Studies have linked mental disorders to poor dietary patterns. The study aimed to estimate the causal relationship between dietary macronutrient intake and mental disorders using a bidirectional two-sample Mendelian randomization (MR) analysis. …”
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FDEM Modelling of Rock Fracture Process during Three-Point Bending Test under Quasistatic and Dynamic Loading Conditions by Huaming An, Yushan Song, Hongyuan Liu

“…After that, the effects of the loading rate on the rock strength and rock fracture toughness are discussed, and the mesh size and mesh orientation on the fracture patterns are also discussed. …”
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Fetal health classification with predictive algorithm by using Ensemble Model by Devi V. Sowmya, Kancharakuntla Manoj Reddy, Paleti Goutam Nayudu, Madhunala Akash

“…Cardiotocography (CTG) is a widely used technique that monitors fetal heart rate (FHR) patterns and uterine contractions, providing critical insights into fetal health. …”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…It further enhanced the True Positive Rate (TPR) by 25% through using an online learning algorithm with Incremental Gradient Descent with Momentums. …”
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High-Precision Centroid Localization Algorithm for Star Sensor Under Strong Straylight Condition by Jindong Yuan, Junfeng Wu, Guohua Kang

“…Finally, simulations are conducted under complex conditions with straylight images to test the star point detection rate, false detection rate, centroid localization accuracy, and statistical significance testing. …”
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A comparative study on tobacco prevalence and secondhand smoke exposure before and after the lockdown in Rizhao, China: analysis of 2022 and 2024 data by Zhao-Hui Liang, Gui-Zhi Han, Miao-Miao Liu

“…The results showed that the current smoking rate declined significantly from 32.53 to 25.84% (χ2 = 10.08, p = 0.002), with daily smoking rate also slightly decreased from 20.44 to 19.33% (χ2 = 0.36, p = 0.551). …”
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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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The Impact of a Plant-Based Diet on Inflammatory Symptoms In Rheumatoid Arthritis: A Review by Justyna Moszkowicz, Tomasz Ufniarski, Aleksandra Piech, Martyna Grodzińska, Maria Kleczkowska, Karol Poplicha, Piotr Sobkiewicz, Karolina Pasierb, Patrycja Kardasz, Bartłomiej Siuzdak, Marta Jutrzenka

“…A systematic analysis of clinical trials and observational studies reveals that vegan, vegetarian, and plant-forward dietary patterns contribute to significant reductions in disease activity scores (DAS28), inflammatory markers such as C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), and subjective pain and physical function assessments with vegan, vegetarian, and plant-forward dietary patterns. …”
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Characterization and application of a novel Campylobacter phage CC_R7 as a biocontrol agent in chicken meat by Muhammad Shahzad Rafiq, Jie Chen, Muhammad Akmal, Dongxin Ma, Ali Asif, Junhao Wang, Shuaifeng Gu, Yufeng Gu, Pan Tao, Haihong Hao

“…This study examined the antimicrobial resistance patterns in Campylobacter jejuni (C. jejuni) and Campylobacter coli (C. coli). …”
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Clinicopathological evaluation of the efficacy of endoscopic treatment for sessile serrated lesions comparing endoscopic mucosal resection, cold snare polypectomy, and underwater e... by Kaizo Kagemoto, Koichi Okamoto, Yasuyuki Okada, Motoko sei, Shota Fujimoto, Mai Yagi, Takeshi Mitsuhashi, Hiroyuki Ueda, Takanori Yoshimoto, Takanori Kashihara, Tomoyuki Kawaguchi, Yoshifumi Kida, Yasuhiro Mitsui, Yutaka Kawano, Masahiro Sogabe, Hiroshi Miyamoto, Yasushi Sato, Naoki Muguruma, Tetsuji Takayama

“…In addition, we evaluated SSL with dysplasia (SSLD) and the inverted growth pattern which may affect the vertical margin. Results The R0 resection rate significantly differed among the three groups (EMR, 73%; CSP, 42%; UEMR, 87%, p = 0.001). …”
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Integrating demand side management in isolated hybrid system design by Aravind Kumar Kondaji

“…Demand side options available for different end use loads and their potential impact on hybrid system sizing, is analysed in this study Aggregated consumption model is developed for different sectors (residential, agriculture, community and small-scale commercial) based on the technical ratings and time of use patterns of different end use loads. …”
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