Meble Kasande, Andrew Natwijuka, Eve Katushabe Snr, Anne Tweheyo Otwine Snr Faculty of Nursing and Health Sciences, Bishop Stuart University, Mbarara, UgandaCorrespondence: Meble Kasande, Bishop Stuart University, Faculty of Nursing and Health Sciences, P.O Box 09, Mbarara, Uganda, Tel +256 7812551, Email [email protected]; [email protected]
Hydrogen and deuterium charging of lifted-out specimens for atom probe tomography [version 2; peer review: 2 approved]
Hydrogen embrittlement can cause a dramatic deterioration of the mechanical properties of high-strength metallic materials.Despite decades of experimental and modelling studies, the exact underlying mechanisms behind hydrogen embrittlement remain elusive.To unlock understanding of the mechanism and thereby help mitigate the influence of hydrogen an
The Influence of Different LED Light Treatments on the Growth and Salt Stress Tolerance of Cauliflower Microgreens In Vitro
The aim of this study was to investigate the effects of different LED lights on the growth of cauliflower microgreens and to determine which combination of LED light best increases tolerance to salt stress Ski Pants and promotes the growth and accumulation of secondary antioxidants in the presence of salt stress in vitro.Plants were grown in a grow
Deep evolutionary fusion neural network: a new prediction standard for infectious disease incidence rates
Abstract Background Previously, many methods have been used to predict the incidence trends of infectious diseases.There are numerous methods for predicting the incidence trends of infectious diseases, and they have exhibited varying degrees of success.However, there are a lack of prediction benchmarks that integrate linear and nonlinear methods an
Deep evolutionary fusion neural network: a new prediction standard for infectious disease incidence rates
Abstract Background Previously, many methods have been used to predict the incidence trends of infectious diseases.There are numerous methods for predicting the incidence trends of infectious diseases, and they have exhibited varying degrees of success.However, there are a lack of prediction benchmarks that integrate linear and nonlinear methods an