Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...
Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
Introduction: Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot ...
Purpose: This study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills ...
This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in the 1980s, ...
Abstract: Depression, a severe psychiatric disorder with potential implications for suicide, has garnered increasing attention from researchers and the general public alike. Due to the accessibility ...
ABSTRACT: With the updating of knowledge and the development of talent strategy, diversified talents with innovation and self-directed learning ability are valued. Higher education requires more ...
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