Myofibril arrangement is critical to cardiac muscle function in health and disease. Historically, analysis of the impact of myofibril organisation on force and cell contraction has relied on the assumption of uniaxial arrays. However, improvements in... read more
The aim of this study was to develop and validate a machine learning-based fall risk prediction model for middle-aged and elderly individuals with cardiovascular disease. Data were sourced from the China Health and Retirement Longitudinal Study. Key ... read more
Lung cancer (LC) is one of the leading causes of death globally. Early detection is essential for saving lives and ensuring effective treatment for patients. When medical professionals can proactively diagnose and classify the condition, they can pro... read more
Vulnerability of potato crops to diseases and pest infestation can affect its quality and lead to significant yield losses. Timely detection of such diseases can help take effective decisions. For this purpose, a deep learning-based object detection ... read more
This study investigates the feasibility of using waste concrete powder (WCP) as an alkali-activated binder (AAB) for sustainable soil stabilization. Sodium hydroxide (NaOH) and sodium silicate (SS) were used as activators, and the influence of WCP co... read more
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