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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation.
Published 2025-01-01“…The model was also used on a real-world ADHD dataset with an accuracy of 85%, F1 score of 85%, precision of 85%, and recall of 85%. …”
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Forecasting mental states in schizophrenia using digital phenotyping data.
Published 2025-02-01“…Besides it remains unclear which machine learning algorithm is best suited for forecast tasks, the eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) algorithms being 2 popular choices in digital phenotyping studies. The CrossCheck dataset includes 6,364 mental state surveys using 4-point ordinal rating scales and 23,551 days of smartphone sensor data contributed by patients with schizophrenia. …”
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526
Medium-term load forecasting with Power Market Survey: GEPCO case study
Published 2024-06-01“…Therefore, in the proposed study, a mathematical model, Power Market Survey (PMS), is implemented to forecast month-ahead load for GEPCO division dataset. The historical load data, incorporating relevant features such as growth rate, load factor, schedule of load shedding, etc., are fed as input to the proposed model for efficient load forecasting. …”
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Experimental investigation of the effect of the offset ratio on the flow characteristics and heat transfer behaviour of a wall-bounded dual jet flow
Published 2025-03-01“…., the offset ratio (OR), on the dual jet flow and heat transfer behaviour, therefore providing the very first experimental dataset relating to a dual jet for varying OR. For this investigation, a uniform heat flux of 1670 W/m2 is applied to the bounding wall for 5500 ≤ Re ≤ 12,000 and 1 ≤ OR ≤ 7, while the velocity ratio is maintained at a constant value of 1. …”
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529
Integrated multi-omics analysis reveals the underlying molecular mechanism for the neurotoxicity of triclosan in zebrafish
Published 2025-01-01“…Hence, this study highlights a number of biomarkers for the risk assessment of TCS against non-target organisms, offering a reference dataset for the behavioral toxicity of TCS to zebrafish, and strengthening the early warning, management, and control of TCS pollution.…”
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Is insomnia a risk factor for new-onset asthma? A population-based study in Taiwan
Published 2017-11-01Get full text
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532
Prediction of mechanical characteristics of shearer intelligent cables under bending conditions.
Published 2025-01-01“…Experiments were conducted using a shearer optical fiber cable bending simulation dataset with traction speeds of 6 m/min, 8 m/min, and 10 m/min. …”
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533
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Sulfatase modifying factor 2 as a predictive biomarker for urothelial carcinoma
Published 2025-02-01“…High SUMF2 mRNA levels were associated with poor overall survival (OS) and disease-free survival (DFS) in bladder UC (BLCA) from The Cancer Genome Atlas (TCGA) dataset. High SUMF2 protein levels were associated with grade (P < 0.001), T status (P = 0.01), and stage (P = 0.006) in patients with BLCA. …”
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535
Identification and validation of hub gene TNFAIP6 of fibroblast-like synoviocytes in rheumatoid arthritis
Published 2025-02-01“…Methods Four independent synovial tissue microarray transcriptome sequencing datasets and one single cell sequencing dataset were downloaded from the Gene Expression Omnibus (GEO) database, and the hub gene of RA fibroblast-like synovial cells was identified by differential gene analysis, weighted gene co-expression network analysis (WGCNA) and single-cell sequencing data analysis. …”
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536
Characterization of gene expression profiles in Alzheimer's disease and osteoarthritis: A bioinformatics study.
Published 2025-01-01“…The datasets were analyzed to obtain differentially expressed gene (DEG) datasets for OA and AD, respectively. …”
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Medical Rehabilitation Impact Towards Dynamic Balance in Lateral Ankle Sprain Patients
Published 2023-04-01Get full text
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis
Published 2025-01-01“…The key innovation lies in achieving good performance with minimal labeled data - less than 1% of the dataset - by leveraging active and contrastive learning techniques. …”
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