Acute neuromuscular and cardiovascular effects of varying relative loads in cross-training modalities by Manuel Barba-Ruíz, Francisco Hermosilla-Perona, Francisco Hermosilla-Perona, José Miguel Fernández-Asensio, Marzo Edir Da Silva-Grigoletto, Adrián Martín-Castellanos, Juan Ramón Heredia-Elvar

“…This study aimed to compare acute effects on heart rate (HR), mean propulsive velocity (MPV), velocity loss, and pacing in participants performing AMRAP, EMOM, and RFT using the same absolute but varying relative loads. …”
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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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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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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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Electrospinning of Chitosan–Halloysite Nanotube Biohybrid Mats for Clobetasol Propionate Delivery by Natallia V. Dubashynskaya, Valentina A. Petrova, Igor V. Kudryavtsev, Andrey S. Trulioff, Artem A. Rubinstein, Alexey S. Golovkin, Alexander I. Mishanin, Anton A. Murav’ev, Iosif V. Gofman, Daria N. Poshina, Yury A. Skorik

“…The developed technology allowed us to obtain homogeneous nanofiber mats with excellent mechanical properties and biphasic drug release patterns (66% of CP released within 0.5 h and 88% of CP released within 6 h). …”
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Acute alcohol intoxication among adolescents in Italy, the Netherlands and Belgium: a cross-national hospital chart comparison study by Stijn Verhulst, Nico van der Lely, Andrea Orsi, Giancarlo Icardi, Guido Van Hal, Hanna van Roozendaal, Louise Pigeaud, Allegra Ferrari, Loes de Veld, Inge Glazemakers, Jozef De Dooy

“…Comprehensive data on adolescent drinking patterns is crucial for developing effective prevention strategies. …”
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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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Temperature drives the variations in cropland exposure to compound drought and heatwave events under future climate in Northeast China by Chuanwei Zhang, Jiangbo Gao, Lulu Liu, Yanjun Shen, Shaohong Wu

“…Notably, adherence to the SSP126 pathway can reduce both the increase rate of CDHW magnitude and cropland exposure compared to other SSPs. …”
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CFD, energy, and exergy analysis and sustainability indicators of tilapia fish strips drying using an evacuated tubes indirect solar dryer by Amena Ali Alsakran, Omar Shahat Younis, András Székács, Omar Saeed, Mohamed Hamdy Eid, Ali Majrashi, Atef Fathy Ahmed, Aml Abubakr Tantawy, Abdallah Elshawadfy Elwakeel

“…The optimal air flow rate of 0.03 m3/s provided a uniform drying temperature of 74.82 °C, at solar noon. …”
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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

“…The objective of the AI-DBS study is to identify patient-specific patterns of neuronal activity that are associated with the severity of motor symptoms of PD. …”
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Wetland key habitat functional areas in China informed by flagship waterbirds: Past changes, present status and future trend with modeling scenarios by Hengxing Xiang, Dehua Mao, Ming Wang, Yeqiao Wang, Chi-Yeung Choi, Wenjuan Wang, Haitao Wu, Kaidong Feng, Zongming Wang

“…This study identifies the past changes, present status, and future patterns of wetland KHFAs in China by using the Zonation model with comprehensive data inputs, including wetland distribution, key bird distribution areas (such as Ramsar sites and Important Bird Areas), and flagship waterbird species. …”
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Transcriptomic and Metabolomic Joint Analysis Revealing Different Metabolic Pathways and Genes Dynamically Regulating Bitter Gourd (<i>Momordica charantia</i> L.) Fruit Growth and... by Boyin Qiu, Dazhong Li, Qianrong Zhang, Hui Lin, Yongping Li, Qingfang Wen, Haisheng Zhu

“…The results revealed that the growth rate of fruit’s fresh weight, length, diameter, and flesh thickness during the first seven days was slow, and that it then rapidly increased after the seventh day, and finally slowed once more after 17 days, indicating that the overall process followed a “slow–fast–slow” pattern. …”
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Optimisation tools for meeting nutrient requirements of Indian children and adults at optimal cost by Fathima Ayoob, Jawahar R. Manivannan, Ashikh Ahmed, Afsal K. Murikkanchery, Abhishek Kumar, Santu Ghosh, Patrick Webb, Anura V. Kurpad, Tinku Thomas

“…The FOP optimises daily food choices at a population level, considering local food consumption patterns. The DOT focuses on household or individual food selection. …”
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A country-wide survey into the composition and transformation of short-chain organic acids in anaerobic sludge digesters at wastewater treatment plants in Denmark by Zijun Li, Morten Kam Dahl Dueholm, Chenjing Jiang, Bihe Zhu, Lei Liu, Per Halkjær Nielsen, Liping Hao

“…Findings from this extensive survey provided new insights into SCOA occurrence and transformation patterns in full-scale anaerobic sludge digesters.…”
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Distributions of non‐native and native plants are not determined by the same environmental factors by Bart Steen, Antoine Adde, Martin A. Schlaepfer, Antoine Guisan, Luigi Maiorano

“…Abstract Global environmental change will cause shifts in species communities, with non‐native species likely replacing native ones at an unprecedented rate. This will have consequences for biodiversity and ecosystem services, in addition to the ecological and economic damage caused by those non‐native species that are invasive. …”
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Long COVID-six months of prospective follow-up of changes in symptom profiles of non-hospitalised children and young people after SARS-CoV-2 testing: A national matched cohort stud... by Terence Stephenson, Snehal M Pinto Pereira, Manjula D Nugawela, Kelsey McOwat, Ruth Simmons, Trudie Chalder, Tamsin Ford, Isobel Heyman, Olivia V Swann, Lana Fox-Smith, Natalia K Rojas, Emma Dalrymple, Shamez N Ladhani, Roz Shafran, CLoCk Consortium

“…Prevalence of shortness of breath and tiredness also declined, but at a lower rate. Among test-negatives, the same common symptoms and trends were observed at lower prevalence's. …”
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Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks by Gleb Melshin, Anthony DiMaggio, Nadia Zeramdini, Michael MacKinley, Lena Palaniyappan, Alban Voppel

“…Modified ResNet-18 convolutional neural networks (CNNs) performed three classification tasks; (1) schizophrenia-spectrum vs healthy controls, within 179 clinically-rated patients, (2) individuals with more severe vs less severe negative symptom burden, and (3) clinically obvious vs subtle blunted affect. …”
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The epidemiology, management, and the associated burden of migraine in Australian primary care: a retrospective analysis of electronic health record data by Nicole Limberg, Jason C. Ray, Benjamin Harvey, Giles Stratton, Angus Cuskelly, Charmaine S. Tam, David Witcombe

“…Differences by sociodemographic groups, patterns of treatment, and referral pathways were also evaluated. …”
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The association between influenza infection and acute myocardial infarction: A comprehensive systematic review and meta-analysis by Xia Zhou, Li Feng

“…Data were extracted and analyzed using random-effects models to calculate pooled odds ratios (ORs), incidence rate ratios (IRRs), and 95 % confidence intervals (CIs). …”
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