The high prevalence of mental health problems among university students poses a challenge when developing effective interventions, with digital technologies emerging as a potential resource to address this problem.The inclusion of student input in the design and development of such interventions is critical to improving their impact.This study cont
Introduction: International policies and legislation set a precedence of person-centred sustainable integrated Health and Social Care (HSC) that meets the health and wellbeing needs of service users through improved experiences.However, miracle academy clothing current research focuses on service models, with fewer studies investigating experiences
Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community.However, most of the existing multi-view subspace clustering methods are still limited in two aspects.(1) The subspace representation yielded by the self-expression reconstruction model ignores the local structure inform
The use of machine learning has increased over the years, especially in the world of molecular data.Generally, the inference of relationships between features is determined by statistical models.The phenotype (observable clinical characteristics) can result from the expression of the genotype (genetic code) or environmental factors.Molecular datase
In inverted perovskite solar cells (PSCs), high-quality perovskite film grown on hole-transporting material (HTM) with pinhole-free coverage and a large grain size is crucial for high efficiency.Here, we report on the growth of pinhole-free and large grain CH3NH3PbI3 crystals favored by a hydrophobic small molecular HTM, namely, 4,4′-Bis(4-(d