New Approach Methodologies: Physiological Responses of Daphnids to Pharmaceutical Mixtures by Emma Rowan, Anne Leung, Katie O‘Rourke, Konstantinos Grintzalis

“…In addition to mortality, phenotypic and molecular endpoints such as ingestion rate and enzyme activity were measured to determine the impact of a cocktail of commonly prescribed pharmaceuticals. …”
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Transfer learning and multi-phase training for accurate diacritization of Arabic poetry by Gheith A. Abandah, Ashraf E. Suyyagh, Mohammad R. Abdel-Majeed

“…Compared with best known previous results, the proposed solutions improve the diacritization error rate from 6.08% to 3.54% (42% improvement).…”
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The subordinate role of pseudogenization to recombinative deletion following polyploidization in angiosperms by Ewout Crombez, Yves Van de Peer, Zhen Li

“…Our findings imply that gene loss post-polyploidization primarily takes place via DNA deletion, enabled by a genomic environment with an elevated recombination rate created by WGMs. In contrast, small-scale duplications yield scattered duplicated genes, which appear less exposed to deletion and hence result in a high number of pseudogenes. …”
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Reducing the air temperature inside the simple structure greenhouse using roof angle variation by Krit Tashoo, Pichai Namprakai, Ratanachai Pairintra, Sirichai Thepa

“…The investigation results of the ventilation rate and the wind pressure coefficient, at a reference roof angle of 30°, is adequate for greenhouse construction. …”
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DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

“…Assessing the severity of gait impairment in Parkinson’s disease (PD) using the Movement Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is typically performed by clinical experts, but this process is time-consuming, subjective, and costly. …”
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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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Reliability Evaluation and Preventive Maintenance Strategy Selection of Traction Substation Equipment Considering Its Wear Degree by E. E. Bakeev, A. I. Sharapova

“…Existing testing and preventive maintenance pattern is meant for the equipment which actual term of service does not exceed the maximum allowable one. …”
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Fatigue Life Prediction of Submarine Pipelines with Varying Span Length and Position by Daoyu Jiang, Xiaowei Huang, Deping Zhao, Haijing Yang, Guoqiang Tang

“…Truncated Gaussian, Raileigh and Uniform distributions of span length due to local scour, and a sinusoidal pattern with a constant migration rate is assumed for the sand wave due to the lack of field scan data. …”
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Molecular Evidence of High Proportion of Plasmodium vivax Malaria Infection in White Nile Area in Sudan by Makarim M. Adam Suliman, Bushra M. Hamad, Musab M. Ali Albasheer, Maytha Elhadi, Mutaz Amin Mustafa, Maha Elobied, Muzamil Mahdi Abdel Hamid

“…We found that on average 20% and 36.5% of malaria infections in both study areas were caused by P. vivax using both microscopy and PCR, respectively. This change in pattern is likely due to the recent demographic changes and high rate of immigration from neighbouring countries in the recent years. …”
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Warming leads to both earlier and later snowmelt floods over the past 70 years by Yuhan Guo, Yuting Yang, Dawen Yang, Lu Zhang, Hongxing Zheng, Jinghua Xiong, Fangzheng Ruan, Juntai Han, Ziwei Liu

“…Using streamflow observations from 1950–2020 and an event-based analysis that distinguishes flood-generating mechanisms across 2339 Northern Hemisphere, snow-affected catchments, we show that the earlier snowmelt effect can be substantially offset or even reversed by a decelerated snowmelt rate under warming. This results in delayed snowmelt floods in approximately 30% of the catchments, contributing to an overall minor shift on a hemispheric scale (−0.87 ± 2.4 days per decade). …”
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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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Fungal Sepsis in a Tertiary Neonatal Intensive Care Unit: A Cross-sectional Study by Kheya Ghosh Uttam, Purbasha Gupta, Sumon Poddar

“…The general mortality rate was 32.9% (<italic>n</italic> = 26). The babies in group I had a higher mortality rate (37.7%) compared with the babies in group II (23%). …”
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Evaluation of the Effects of Anesthetics and Surgery on Sleep Quality in Patients Undergoing Posterior Spinal Instrumentation Surgery: A Prospective Randomised Clinical Trial by Selcan Akesen, Gökay Eken, Yücel Bilgin, Saltuk Buğra Güler, Elifgül Ulutaş

“…Introduction: The aim of the study is to evaluate the impact of the anesthesia methods and surgical procedure on the sleep patterns and sleep quality of patients undergoing posterior spinal instrumentation, using the Pittsburgh Insomnia Rating Scale-20 (PIRS-20). …”
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AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson’s disease for the development of neuronal fingerprints using artificial... by Martijn Beudel, Rick Schuurman, Rob M A de Bie, Deborah Hubers, Mariëlle J Stam, Martijn G J de Neeling, Bart J Keulen, Arthur W G Buijink, Bernadette C M van Wijk

“…Correlations will be tested between spectral features of LFP data and symptom severity, which will be assessed using (1) inertial sensor data from a wearable smartwatch, (2) clinical rating scales and (3) patient diaries and analysed using conventional descriptive statistics and artificial intelligence algorithms. …”
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Investigation on Potential-Induced Degradation in a 50 MWp Crystalline Silicon Photovoltaic Power Plant by Jingsheng Huang, Hongtao Li, Yaojie Sun, He Wang, Hong Yang

“…The results obtained in this paper show that the maximum power degradation rate of solar modules was as high as 53.26% after only one year of operation because of PID in the field. …”
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Understanding the changes in multi-structure, physicochemical properties, and in vitro digestibility of quinoa starch by annealing with hydrogen-infused and plasma-activated water... by Hang Liu, Ge Tian, Shanshan Gao, Shuang Liu

“…The total hydrolysis rate and rapidly digestive starch content decreased in QS after ANN treatment, and resistant starch level markedly increased. …”
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