Interest in commercially farmed rabbit welfare has increased in recent years.As a result, new alternativehousing systems have been developed, although they require evaluation in order to demonstrate their potential for improving welfare.The aim of this trial was to study the behavioural traits of rabbit does housed in 2 different types of cage (TC)
THE ADMINISTRATIVE DISCIPLINARY PROCESS AND ASSUMPTIONS PROCEDURE UNDER THE AEGIS OF THE NEW CIVIL PROCESSUALITY (LAW 13.105/2015)
This article aims to study the new deferred outlines the administrative law, especially the disciplinary proceedings with the enactment of Law 13,105 / 2015, the new Civil Procedure Code Brazilian, as to its regulation to color theory nothings internal sanctioning proceedings.In this context, Electrical Parts it asks is, in fact, there is a new lin
The combined effect of bed-to-nurse ratio and nurse turnover rate on in-hospital mortality based on South Korean administrative data: a cross-sectional study
Abstract Refrigerator Background and aim Nurse staffing levels are associated with patient mortality, but little is known regarding the association between nurse turnover rate and patient mortality.This study investigated the combined effect of the bed-to-nurse ratio and the nurse turnover rate on in-hospital mortality in patients admitted to Korea
Performance Comparison of Sea Cucumber Detection by the Yolov5 and DETR Approach
Sea cucumber detection represents an important step in underwater environmental perception, which is an indispensable part of the DL-Phenylalanine intelligent subsea fishing system.However, water turbidity decreases the clarity of underwater images, presenting a challenge to vision-based underwater target detection.Therefore, accurate, real-time, a
A learning model to detect maliciousness of portable executable using integrated feature set
Malware is one of the top most obstructions for expansion and growth of DMSO+ALOE VERA digital acceptance among the users.Both enterprises and common users are struggling to get protected from the malware in the cyberspace, which emphasizes the importance of developing efficient methods of malware detection.In this work, we propose a machine learni