Background Broiler chickens have properties as meat-producing poultry and produce meat with soft fiber quality. Broiler’s embryo needs to be given attention, especially against disease. The purpose of the study was to observe the trend of the research topic and external factors which could affect the embryo’s growth of broiler. Methods This study used meta-data from Scopus. There were 162 samples started from 2006-to 2022. The data were analyzed using a bibliometric method with two software, Vosviewer, and Biblioshiy from R studio. Results It was found that the study of broiler chicken embryos had developed well, especially those related to genetics, disease, and also the immunity system. But the result showed that topics about the disease, viruses, and bacteria were more popular than topics about the gene. The result also showed that based on the importance and development of topics, the words such as “chicken”, “genes”, “development”, “effect”, growth”, and “control” had importance for the study and developed well in research. It means that genes influenced the growth of the embryo of a chicken. But still, even though a chicken gene was predetermined, the genetic engineering of chicken insemination to produce a superior breed with a fast-growing rate of the embryo could be used. Conclusions It could be stated that disease, especially research about the virus is one of the main determinants that could affect the growth of the embryo of broiler chicken.

COVID-19 pandemic limits many physical activities of the society in public areas. The agricultural production sector is one of the important sectors in supporting the country's nutrition demand. Research is a way to maintain the productivity of the agricultural sector. This study has a purpose to analyze if pandemic COVID-19 has an impact on the number of papers about agriculture recorded by Scopus. This study uses a quantitative with secondary data analysis approach in collecting data. The samples are paper on the Scopus website contains keywords "agriculture& meat", and "agriculture&egg". the period of samples are during 2019-2020. The data are analyzed using Vosviewer software to show the institution with the most related topic paper. The result shows that some papers are decreasing while others are increase based on the document type. For paper related to "agriculture" meat", article as full type research paper increases along with review type paper. For a paper about "agriculture & egg", conference type paper and review increase, while other decreases. It can be concluded that the type of paper along with the topic affects the institutions' productivity in publishing papers.

Helminthiasis can be transmitted from animals to humans (zoonosis). Helminthiasis can cause cutaneus larva migrants, visceral larva migrant, and occular larva migrants. Cats are the most easily animals can found in public areas. cats have a habit of defecating in areas

This research was conducted to identify non-specific bacteria found in the cervical mucus of dairy cattle in the follicular and luteal phase. Twenty cervical mucus samples were collected from ten cows during their follicular phase and ten cows during their luteal phase. Sampling was carried out with the help of an artificial insemination gun and a plastic sheath, which were protected by a sheath cover. After insertion into cervix, the tip of the plastic sheath was cut and put into a tube prefilled with phosphate buffered saline. All samples were cultured in Blood Agar media and isolated in Eosin Methylene Blue Agar, Mac Conkey Agar, and Manitol Salt Agar. Gram staining was applied to distinguish gram-positive and gram-negative bacteria; and followed with the catalase, spore, motility, and biochemical tests to further identify bacteria. The bacteria identified were of the genus Enterobacter, Staphylococcus, Corynebacterium, Streptococcus, Escherichia, and Pasteurella. It could be concluded that non-specific bacteria of the same genus were identified in cervical mucus of dairy cows in their follicular and luteal phase, in a various of percentages.

COVID-19 is the latest deadly virus to haunt the world. The virus is so contagious it needs a precise drug for treating patients who contract it. The purpose of this study is to observe trends and relevant points of information about Remdesivir in global big data. This article describes a new method of collecting data, namely data mining from Google trends. The subjects under consideration is how Remdesivir is used in the USA, Russia, and India, as they are the current countries with the most COVID-19-positive cases. This method enabled us to discover how many topics on the internet related to Remdesivir, as well as how strong the relevance of this topic was in those three countries. The results shows that the USA had the biggest relevance score in the information search (8.86 points), but the information trends were quite static. Russia had fluctuating trends but the lowest relevance score. India had a dynamic trend recently and a higher relevance score than Russia. It can be concluded that medical authorities are the cause behind information trends for Remdesivir in these three countries that have approved clinical trials for the use of Remdesivir as a COVID-19 treatment.