Prevention of accidents is extremely difficult in absence of present situation analysis, as the aim to identify the incident locations and safety deficiency area is the key to work out the effective solution.To access the feasibility of using Geographic Information System (GIS) for mapping of incident locations with an existing data source is vital
RPW8/HR repeats control NLR activation in Arabidopsis thaliana.
In many plant species, conflicts between divergent elements of the immune system, especially nucleotide-binding oligomerization domain-like receptors (NLR), can lead to hybrid necrosis.Here, we report deleterious allele-specific interactions between an NLR and a non-NLR gene cluster, resulting in not one, but multiple hybrid necrosis cases in Arabi
Deep Neural Network and Predator Crow Optimization-Based Intelligent Healthcare System for Predicting Cardiac Diseases
Cardiovascular Hiding Places diseases (CVD) are amongst the leading causes of death worldwide.The Internet of Things (IoT) is an emerging technology that enables the healthcare system to identify cardiovascular diseases.In this article, a novel cardiovascular disease prediction framework combining Predator Crow Optimization (PCO) and Deep Neural Ne
Structure-activity relationships of mitochondria-targeted tetrapeptide pharmacological compounds
Mitochondria play a central role in metabolic homeostasis, and dysfunction of this organelle underpins the etiology of many heritable and aging-related diseases.Tetrapeptides with alternating cationic and aromatic residues such as SS-31 (elamipretide) show promise as therapeutic compounds for mitochondrial disorders.In this study, we conducted a qu