Ottefranco2972

One-quarter of dairies reported COVID-19 infections on their farms. Even though the majority had an isolation protocol in place if someone on the farm were to become ill, less than half of respondents felt their farm was protected against COVID-19. Two-thirds of producers have not had to decrease production, and a majority of operations have not furloughed or terminated employees due to COVID-19. Our data suggest that dairy farms in Minnesota and Wisconsin have implemented biosecurity and safety measures in response to COVID-19. These measures can be improved. Farms would benefit from additional guidance and education on implementation of personal protective measures and disease prevention strategies to keep workers employed and safe.Reports of school and work absences due to unmet menstrual needs have prompted increased attention to menstruation in policy and practice. However, there appear to be few quantitative studies reported in published literature capturing the prevalence of this hypothesised absenteeism. This study undertook secondary analysis of nationally representative Performance Monitoring and Accountability 2020 (PMA2020) data from Burkina Faso and Nigeria, and city-representative data from Niamey, Niger to determine the extent of women's and girls' self-reported absence from school and work due to menstruation. Among women and adolescent girls aged 15-49 years who had worked outside the household in the past month in Burkina Faso (n = 998), Niger (n = 212) and Nigeria (n = 3638), 19%, 11% and 17%, respectively, reported missing work due to menstruation. Among those aged 15-24 years who attended school in the past year in Burkina Faso (n = 461), Niger (n = 213) and Nigeria (n = 1574), 17%, 15% and 23% reported missing school in the past year due to menstruation. Findings support the assertion that menstruation is a source of absenteeism in West Africa and indicate that greater attention from research, practice, and policy is needed. In presenting this data we also reflect critically on the performance of questions regarding menstrual-related absenteeism in national monitoring surveys. Future monitoring efforts should consider the interpretability of similar survey data when many respondents did not attend any school or work and were ineligible to answer questions regarding absenteeism. Further, without additional research identifying the reasons for absenteeism, findings from similar survey questions may be difficult to interpret with relevance for policy decision making.The grey type donkeys of Braj region of Uttar Pradesh in India were genetically characterized using ten heterologous microsatellite loci. At these loci the PCR product size ranged from 75-95 bp at locus HTG6 to 251-277 bp at locus COR18. The observed number of alleles varied from 4 (HTG15) to 10 (HTG7 and AHT4) with a mean of 7.50 ± 1.96. The observed heterozygosity ranged from 0.46 (HTG6 and NVHEQ54) to 0.79 (COR18) with a mean of 0.66 ± 0.12. The mean genetic diversity estimate (FIS) was 0.157. When these donkeys were compared on the basis of allelic frequency data at these loci to the brown type donkeys of Ladakh, Spiti and Rayalseema regions in the union territories/states of Ladakh, Himachal Pradesh and Andhra Pradesh, respectively, they clustered independently from these three donkey populations in a dendrogram based on Goldstein's average square distances indicating their genetic distinctness.Over the last 50 years, there have been major advances in knowledge and technology regarding genetic diseases, and the subsequent ability to control them in a cost-effective manner. This review traces these advances through research into genetic diseases of animals at Massey University (Palmerston North, NZ), and briefly discusses the disorders investigated during that time, with additional detail for disorders of major importance such as bovine α-mannosidosis, ovine ceroid-lipofuscinosis, canine mucopolysaccharidosis IIIA and feline hyperchylomicronaemia. The overall research has made a significant contribution to veterinary medicine, has provided new biological knowledge and advanced our understanding of similar disorders in human patients, including testing various specific therapies prior to human clinical trials.

Illicit drug consumption in Mexico has been growing constantly and has begun to be a public health problem. The aim of this study is to identify the principal characteristics and socioeconomic variables associated with consumption of illegal drugs in Mexico.

Using information from the 2016 national addictions survey in Mexico, we develop a logistic regression model to determine the variables associated with drug consumption, sometime in lifetime or recently, in the general population of Mexico.

Analyzing information from 56,877 persons, the prevalence of the use of illicit drugs at least once in lifetime was 15.4% and 3.6% for males and females, respectively. The variables associated with more consumption of illegal drugs was utilization of substances with alcohol (RR 9.3; 95% CI 7.9-10.8) and nicotine products (RR 4.7; 95% CI 4.3-5.1), male gender (RR 2.6; 95% CI 2.4-2.8), and relatives' drug consumption (RR 2.1; 95% CI 1.8-2.4).

Having more education, being older, and having a partner was associated with lower illicit drug consumption sometime in lifetime; in the case of recent consumption, in addition, having a job or active child-rearing in the house in a positive sense.

Having more education, being older, and having a partner was associated with lower illicit drug consumption sometime in lifetime; in the case of recent consumption, in addition, having a job or active child-rearing in the house in a positive sense.Purpose To provide a brief review of literature on the journal impact factors (JIF) and the newer research metrics being proposed or implemented.Methods The authors performed a PubMed search of articles published in the English language on the journal impact factors. Data captured include historical perspectives, evolution, calculation, criticisms of JIF and their rebuttals, and organized efforts to address JIF issues, alternate research metrics, and future directions. Specific emphasis was laid on evaluating the criticisms, current lacunae, and the changing practice patterns.Results One of the measures to assess the research impact of an article is the number of citations it receives. Hence, citation-based metrics are commonly used for such purposes. While editors and well-known scholars refrain from attributing article success to the journal's prominence, the same is not true for most authors. check details JIF is still one of the top factors when deciding on an article submission. JIF is today an acceptable objective and quantifiable measure of knowledge dissemination.