Directly Fabricated Flexible Photodetector Based on TiO₂-Doped Carbon Nanosheets Film by Yunlong Zhang, Xiaolin Li, Zhipeng Cao, Qiang Wu, Gong Chen, Bo Wen, Dongfeng Diao, Xi Zhang

“…The edge states suppress the recombination rate of photo-generated electron-hole pairs, thereby significantly enhancing the photo-responsive performance. …”
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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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Burden and Outcomes of Severe Lower Respiratory Tract Infections with Unknown Etiology: A Retrospective Observational Study on Epidemiological Trends Over an 8-Year Period (2016–20... by Giovanni Scaglione, Marta Canuti, Martina Offer, Valentina Breschi, Antonio Piralla, Fausto Baldanti, Gabriele Del Castillo, Francesco Scovenna, Sabrina Buoro, Federica Morani, Danilo Cereda, Alessandra Bandera, Andrea Gori, Marta Colaneri

“…Results Among 683,741 hospitalizations, 338,211 (49.5%) were of unknown etiology, showing a 12.3% intra-hospital mortality rate (41,627 deaths) and 4.0% intensive care unit admission rate (13,625 admissions). …”
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Citrus quality grading based on statistical complexity measurement and multifractal spectrum method by Cao Leping, Wen Zhiyuan

“…The correct rate of navel orange fruit shape grading was 100%. …”
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Effectiveness and Safety of Korean Medicine in Treating Female Infertility: A Prospective Multicenter Observational Study by Jung HJ, Kim DI, Choi SJ, Park JK, Lee JM

“…Among the analyzed participants, the clinical pregnancy rate, ongoing pregnancy rate, and live birth rate were 20.8% (95% CI, 13.9– 30.0%), 70.0% (95% CI, 48.1– 85.5%), and 13.5% (95% CI, 8.1– 21.8%), respectively. …”
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DYNAMICS OF INCIDENCE WITH MYOCARDIAL INFARCTION IN THE POPULATION OF KUZBASS AND THE RUSSIAN FEDERATION FOR THE PERIOD 2011-2019 by Андрей Георгиевич Петров, Николай Владимирович Абрамов, Сергей Анатольевич Макаров, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин, Наталья Степановна Черных

“…In 2014, the incidence rate decreased to 129.3 cases per 100 thousand population. …”
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Physical model test on the sealing mechanism and reinforcement effect of flowing water grouting for water-sand mixture inrush in the Cuihongshan iron-polymetallic mine by Baofu WU, Wanghua SUI, Guilei HAN, Longfei LIANG, Xinhai YAO, Jiaxin FENG, Xingshuo XU

“…The Z1 and Z2 stages presente a slow-fast-slow grouting rate pattern, whereas Z3 exhibited slow, uniform diffusion and filling, confirming the necessity of secondary borehole grouting. …”
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“Does speech in patients with different Parkinson’s disease subtypes decline over time?” by Vanessa Brzoskowski dos Santos, Fernanda Venzke Zardin, Rui Rothe-Neves, Maira Rozenfeld Olchik

“…The analyzed acoustic variables included syllable number, duration, phonation time, articulation rate, average syllable duration (ASD), and pause ratio. …”
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Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach by Rahem Rahmati, Fatemeh Zarimeidani, Farnaz Ahmadi, Hannaneh Yousefi-Koma, Abdolreza Mohammadnia, Maryam Hajimoradi, Shadi Shafaghi, Elham Nazari

“…Abstract The discovery of unique microRNA (miR) patterns and their corresponding genes in sarcoma patients indicates their involvement in cancer development and suggests their potential use in medical management. …”
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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking by Changhyun Lim, Hyun-Jun Jeon, Woojae Jung, Youngshin Kwak, Myong Young Lee, Jung Hyun Ham, Hyun Bin Joo, Oh-Sang Kwon, Dongil Chung

“…Individuals’ pupil diameter successfully tracked (cluster-based permutation p <0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. …”
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Candidate circRNAs related to skeletal muscle development in Dazu black goats by Chengli Liu, Pu Yang, Xiao Wang, Baiju Xiang, Guangxin E, Yongfu Huang

“…Furthermore, the expression pattern of 10 DEcircRNAs with RT-qPCR was verified, which showed 80% concordance rate with that of RNA_seq datasets. …”
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Dual-omics analysis reveals B vitamin regulation and metabolism in Areca Catechu inflorescence by Wenxiu Jiang, Xiaoxia Liu, Weiying Li, Jing Yang, Panjing Li, Minggeng Xie, Guangzhen Zhou

“…Notably, we characterized a key rate-limiting enzyme in the thiamine biosynthesis pathway, the thiazole synthase (AcTHI1), that plays a crucial role in regulating thiamine biosynthesis. …”
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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

“…Our method successfully captures temporal patterns, making it robust against subtle anomalies and structural changes. …”
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Dynamics of free amino acids in beef during thermal processing and mathematical modeling of doneness correlation by Jiayu Sun, Lifen Wang, Zehua Huang, Nianguo Guo, Hongzhou An, Xiaobin Zhan, Mehdi Abddollahi, Zoltan Kovacs

“…During the frying process, beef proteins and free amino acids exhibit recognizable patterns that correspond to the central temperature. …”
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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

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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Mechanical behavior of waste rock-based geopolymer as a sustainable backfill material: Strength evolution and fracture mechanisms by Yu Tian, Zhile Wang, Shiyuan Li, Chuning Ji, Chuangang Gong, Abdoul Wahab, Shengkang Zhang, Zhongchen Ao

“…Specifically, the compressive strength test was conducted to evaluate the effect of materials interaction, aggregate gradation index, alkali activator dosage, water-to-binder ratio and waste rock utilization rate on the strength. And acoustic emission (AE) technology was used to clarify fracture mechanisms of materials. …”
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