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3161
Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model
Published 2025-05-01“…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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3162
A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence
Published 2025-06-01“…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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3163
Evaluation of the Effects of Anesthetics and Surgery on Sleep Quality in Patients Undergoing Posterior Spinal Instrumentation Surgery: A Prospective Randomised Clinical Trial
Published 2025-08-01“…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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3164
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...
Published 2025-05-01“…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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3165
Planned Liver Stereotactic Body Radiotherapy for Residual Colorectal Cancer Liver Metastases After Surgery: A Single-Arm Retrospective Study
Published 2025-06-01“…The 1-, and 2-year cumulative incidence rates of LF after SBRT were 7.7%, and 9.6%, respectively. …”
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3166
Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks
Published 2025-07-01“…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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3167
Influence of exercise interventions on functional movement screen scores in athletes: a systematic review and meta-analysis
Published 2025-07-01“…Abstract The functional movement screen (FMS) is a widely recognized tool for evaluating movement patterns and identifying potential injury risks in athletes. …”
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3168
Laboratory Analysis of Soil Physicochemical Properties Based on Agricultural Fertilizer Input Requirement Application: A Case of Haramaya University, Ethiopia
Published 2023“…Exchangeable calcium ranged 4.99 cmol (+)/kg to 18.34 cmol (+)/kg with a mean of 12.02 cmol (+)/kg which is rated as high. The potassium value of (0.05, 0.82 meq/100gm), 0.06 meq/100gm and (0.13, 0.46 meq/100gm) of soil respectively. …”
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3169
CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING
Published 2025-04-01“…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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3170
Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques
Published 2025-07-01“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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3171
Global psychiatrists' opinions about hikikomori from biopsychosocial perspectives: International case vignette survey
Published 2025-06-01“…Most respondents felt the case could be treated by an outpatient visit, while others preferred hospitalization. Psychotherapy was rated highly as an intervention; Iran, South Korea, and “others” also rated pharmacotherapy highly. …”
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3172
Clinical features of patients with dysthymia in a large cohort of Han Chinese women with recurrent major depression.
Published 2013-01-01“…<h4>Conclusions</h4>There are increased rates of stressful life events in MDD with dysthymia, but the impact of life events on susceptibility to dysthymia with MDD differs from that seen for MDD alone. …”
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3173
Toxicokinetics, tissue distribution, and toxic potency of PFOS alternative OBS in adult zebrafish (Danio rerio) based on flow-through exposure system
Published 2025-07-01“…Our findings indicate that OBS accumulated rapidly in zebrafish, with log kinetic bioconcentration factor (logBCFk) values ranging from 2.48 to 2.70 and slow elimination rates (ke = 0.0490–0.0643 d−1). The blood, liver, and muscle were responsible for over 50 % of the total body burden of OBS, with tissue concentrations decreasing in the following order: blood > liver > intestine > gills > gonad > brain > muscle, suggesting a tissue-specific accumulation pattern. …”
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3174
MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition
Published 2024-01-01“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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3175
Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models
Published 2025-12-01“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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3176
Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation
Published 2025-01-01“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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3177
Collective and individual adaptation of rice farmers to climatic variability in the Vietnamese Mekong Delta
Published 2024-12-01“…It systematically explores the patterns of climate variability and their profound impacts on rice production across diverse areas within the delta. …”
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3178
Negative Regulation of <i>GmNAC35</i> by miR164 Enhances Drought Tolerance in Soybean
Published 2025-06-01“…Conversely, <i>GmNAC35</i> showed an inverse pattern, indicating negative regulation by miR164. …”
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3179
An integrated high-resolution bathymetric model for the Danube Delta system
Published 2025-07-01“…These error rates are comparable to those observed in bathymetry interpolation in rivers with similar source datasets. …”
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3180
Biomechanical evaluation of novel construct for stabilizing subcapital femoral neck fractures: a synthetic bone model
Published 2025-07-01“…Abstract Background High complication rates continue to be reported for femoral neck fractures, where moderate to severe shortening has been associated with pain and inferior functional outcomes. …”
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