Deep learning for property prediction of natural fiber polymer composites
Abstract The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for…
Abstract The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for…
Abstract Background: There is growing evidence of the contribution of microtubule dynamics to dendritic spine changes, synaptic plasticity, axonal transportation,…
Abstract Following a request from the European Commission, the EFSA Panel on Nutrition, Novel Foods and Food Allergens (NDA) was…
Abstract Background: Over a decade of conflict in Syria had resulted in significant displacement and an increase in humanitarian needs.…
Abstract The aim of this study was to determine the connection between oscillations in operating pressure values and the appearance…
Abstract Background: Current trauma treatment options often fail to meet patients’ needs. Despite the availability of established interventions, many trauma…
Abstract Background Motor vehicle crashes (MVCs) remain a leading global public health challenge, with driving under the influence of psychoactive…
Abstract Aims: Addressing design and measurement limitations of prior studies, we examined whether individuals who use alcohol or drugs are…
Abstract Background: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions…
Abstract HIV disproportionately affects key populations (MSM, transgender people, sex workers and psychoactive substance users), who face greater social vulnerability…