Leveraging In Silico Structure-Activity Models to Predict Acute Honey Bee () Toxicity for Agrochemicals.

In the realm of crop protection products, ensuring the safety of pollinators stands as a pivotal aspect of advancing sustainable solutions. Extensive research has been dedicated to this crucial topic as well as new approach methodologies in toxicity testing. Hence, within the agricultural and chemical industries, prioritizing pollinator safety remains a constant objective during the development of predictive tools.

Understanding the Impact of Neural Variations and Random Connections on Inference.

Recent research suggests that neural networks created from dissociated neurons may be used for computing and performing machine learning tasks. To develop a better artificial intelligent system, a hybrid bio-silicon computer is worth exploring, but its performance is still inferior to that of a silicon-based computer. One reason may be that a living neural network has many intrinsic properties, such as random network connectivity, high network sparsity, and large neural and synaptic variability.

A Case Report of Rapidly Lethal Acute Respiratory Distress Syndrome Secondary to Coronavirus Disease 2019 Viral Pneumonia.

As of April 2020, the coronavirus 2019 (COVID-19) pandemic has resulted in more than 210,000 deaths globally. The most common cause of death from COVID-19 is acute respiratory failure. We report the case of a 78-year-old female with a history of hypertension, cerebrovascular accident (CVA), type 2 diabetes mellitus, and sarcoidosis, who presented to the emergency department with one day of dyspnea.