While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
The study shows that artificial intelligence has emerged as one of the most consistent and powerful drivers of renewable ...
Minister of State for Health Prakashrao Jadhav in response to a query from Trinamool Congress MP Derek O’Brien, stated that ...
Objective China has continued to improve tuberculosis (TB) control in the past decade; however, the sudden outbreak of ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Direction (−1.526): Incidents in the Northbound direction tend to be shorter in duration compared to Southbound incidents.
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Multiple sclerosis is an autoimmune disease in which immune cells attack and destroy the protective myelin sheaths that surround nerve fibres, leading to neurological disturbances. After spinal cord ...
Introduction Undernutrition is a cause of nearly half of all deaths among children under 5 years old. Small-quantity ...
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