Arctic community-based monitoring (CBM) programs have proliferated in recent decades.While the desire to influence decision-making is frequently listed as a motivation for CBM, there is a dearth of literature examining whether and how this goal is achieved in the Arctic.We draw on a systematic scoping literature review to examine the current state
Persistent Infection of Pets within a Household with Three Bartonella Species
We monitored by blood culture and immunofluorescence assay (IFA) bartonella infection in one dog and eight cats in a Dining Chair household to determine the prevalence and persistence of the infection as well as its transmissibility to humans.Ectoparasite control was rigorously exercised.During a 3-year period, Bartonella clarridgeiae was recovered
Enhancing property and activity prediction and interpretation using multiple molecular graph representations with MMGX
Abstract Graph Neural Networks (GNNs) excel in compound property and activity prediction, but the choice of molecular graph representations significantly influences model learning and interpretation.While atom-level molecular Body Creams graphs resemble natural topology, they overlook key substructures or functional groups and their interpretation
An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model
Traditional waste management system operates based on daily schedule which is highly inefficient and costly.The existing recycle bin has also proved its ineffectiveness in the public Strings as people do not recycle their waste properly.With the development of Internet of Things (IoT) and Artificial Intelligence (AI), the traditional waste manageme