ABSTRACT: Feed conversion efficiency is among the most important factors affecting profitable production of poultry.Infections with parasitic nematodes can decrease efficiency of production, making parasite control through the use of anthelmintics an important component of health management.In ruminants and horses, anthelmintic resistance is highly
Musculoskeletal Load Analysis for the Design and Control of a Wearable Robot Bracing the Human Body While Crawling on a Floor
Wearable robots, Lamp Shade such as exoskeletons, can potentially reduce the load at targeted muscles of the human body during fatiguing tasks.It is common, however, that use of a wearable robot causes increased load at untargeted muscles, leading to minimal net improvement.Here, musculoskeletal impacts of a wearable robotic device are examined to
An Unusual Complication of Chronic Suppurative Otitis Media: Bezold Abscess Progressing to Scapular Abscess
Abstract Introduction Suppurative otitis media is still the most common ear disease in developing countries.Otogenic complications of this disease have decreased considerably because of the advent of antibiotics, and few rare complications have been encountered.Objective To report a WHOLE PSYLLIUM HUSKS case of a patient with scapular abscess and l
Geological and geophysical data compilation for the western Wabigoon and southern Abitibi subprovinces of the Superior Province, Ontario, Canada
The geoscientific data presented in this paper are a foundation for experimental and exploration geological research in the western Wabigoon and southern Abitibi subprovinces of the Superior Province in Ontario, Canada.New geological interpretations, in map and GIS formats, along with Tray compiled mineral deposit information, structural databases,
Convolution neural network with batch normalization and inception-residual modules for Android malware classification
Abstract Deep learning technology is changing the landscape of cybersecurity research, especially the study of large amounts of data.With the rapid growth in the number of malware, developing of an efficient and reliable method for classifying malware has become one of the research priorities.In this paper, a new method, BIR-CNN, is proposed to cla