Gradience and optionality in the syntactic realization of focus by Silvio Cruschina, Laia Mayol

“…Casted as weighted soft constraints, they do not cause ungrammaticality when violated, but the greater their weight, the more unacceptable their violation becomes, which can explain the observed patterns.  …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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The role of spatially controlled cell proliferation in limb bud morphogenesis. by Bernd Boehm, Henrik Westerberg, Gaja Lesnicar-Pucko, Sahdia Raja, Michael Rautschka, James Cotterell, Jim Swoger, James Sharpe

“…By developing a parameter optimization approach (which explores spatial patterns of tissue growth) our computer simulations reveal that the observed distribution of proliferation rates plays no significant role in controlling the distally extending limb shape, and suggests that directional cell activities are likely to be the driving force behind limb bud outgrowth. …”
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Incidence, mortality, and risk factors of bladder, kidney, prostate and testicular cancers in China and comparisons with the United States, the United Kingdom, Japan, and the Repub... by Gaohaer Kadeerhan, Zhongji Jiang, Hong Guo, Xinzhi Ma, Jin Zhang, Wenmin Guo, Jiedong Jia, Yibo Gao, Dongwen Wang

“…Conclusions The distinct age-specific patterns, elevated rates within specific age groups, and marked upward temporal trends of genitourinary cancers in China underscore the critical need for targeted, age-stratified public health interventions.…”
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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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Whole Blood Stimulation Assay as a Treatment Outcome Monitoring Tool for VL Patients in Ethiopia: A Pilot Evaluation by Yetemwork Aleka, Ana Victoria Ibarra-Meneses, Meseret Workineh, Fitsumbrhan Tajebe, Amare Kiflie, Mekibib Kassa Tessema, Roma Melkamu, Azeb Tadesse, Javier Moreno, Johan van Griensven, Eugenia Carrillo, Wim Adriaensen

“…Current treatments produce variable rates of treatment failure and toxicity without sterile cure, rendering treatment efficacy monitoring essential. …”
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Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China by Xiao Li, Shaohua Wang, Liang Zhou, Yeran Sun, Jiayi Zheng, Chang Liu, Junyuan Zhou, Cheng Su, Dachuan Xu

“…By analyzing spatial coverage rates of transit stations using road network and administrative division data, the study reveals the convenience of bus networks in different regions. …”
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Analysis of influencing factors on recurrence and metastasis of pT1b ~ pT4aNOM0 esophageal squamous cell carcinoma after radical surgery in Northeast Sichuan region by Wenxia Ren, Lei Yu, Yu Cui, Daiyuan Ma

“…Abstract Background The incidence and mortality rates of esophageal cancer are high, yet public awareness of this disease remains low, particularly in the northeastern Sichuan region. …”
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The association between four dietary indices and mortality risk in cardiovascular disease patients by Mengshan Pan, Tongle Yin, Ying Yang, Feiyun Zhu, Jiamin Xu, Rucheng Chen, Weijun Zheng

“…Abstract Background The Planetary Healthy Diet Index-United States, the Healthy Diet Index, the Mediterranean Diet, and the Dietary Inflammation Index were linked to mortality rates in cardiovascular patients. This study investigated the relationship between these dietary patterns and all-cause mortality risk in U.S. cardiovascular patients from 2005 to 2006 to 2017–2018. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…Our machine learning approach established an activity threshold, above which divergent wavefront patterns—termed “significant sources”—predicted AF recurrence. …”
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Can Fire Season Type Serve as a Critical Factor in Fire Regime Classification System in China? by Huijuan Li, Sumei Zhang, Xugang Lian, Yuan Zhang, Fengfeng Zhao

“…Fire regime (FR) is a key element in the study of ecosystem dynamics, supporting natural resource management planning by identifying gaps in fire patterns in time and space and planning to assess ecological conditions. …”
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Integrative single‐cell transcriptomic analysis deciphers heterogeneous characteristics of gastrointestinal tract cancer by Chuwen Sun, Tong Li, Xin Jin, Zhihui Xiu, Hang Su, Huanming Yang, Ming Liu, Kui Wu

“…Abstract Background Gastrointestinal tract cancer (GIC), including oesophageal cancer (EC), gastric cancer (GC) and colorectal cancer (CRC), is characterised with high global incidence and mortality rates, with similar tumourigenic processes. However, the common and heterogeneous molecular features among GIC at single‐cell level remain poorly characterised. …”
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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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Pitfalls in the diagnosis of apparent homozygous mutations: two cases of IL10RA deficiency inflammatory bowel disease and a literature review by Xiu Shi, Ziqing Ye, Lai Qian, Wenhui Hu, Ye Yang, Chunmeng He, Zhiheng Huang, Bingbing Wu, Ying Huang

“…Abstract Background In East Asia, IL10RA is the predominant pathogenic gene in patients with very early-onset inflammatory bowel disease (VEO-IBD), frequently characterised by refractory diarrhoea and severe perianal disease, resulting in elevated death rates. IL10RA-deficient IBD, an autosomal recessive genetic disorder, has been documented to be inherited through the conventional compound heterozygous or homozygous mutation patterns from both parents. …”
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Vocal activity as a welfare indicator in killer whales in managed care by Javier Almunia, Jonas Philipp Lüke, Fernando Rosa

“…Using a custom detection algorithm and classification criteria, we focused on quantifying the rates of discrete call production throughout the day and across different seasons.ResultsThe results revealed strong diel patterns in vocal activity, with increased rates during the day, particularly around feeding and training sessions, and minimal vocal activity overnight. …”
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Forecasting the Thermal Degradation Depending on the Kinetics of Dracaena Draco Lignocellulosic Fibers Using an Artificial Neural Network by Abdelwaheb Hadou, Ahmed Belaadi, Djamel Ghernaout, Herbert Mukalazi

“…The model performed well at lower heating rates (5 and 10°C/min), but because of bias and heteroscedasticity, adjustments are required at higher rates (15–30°C/min). …”
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