scholarly journals Abdominal ultrasound in amazonian manatee (Trichechus inunguis) (Natterer, 1883)

2023 ◽  
Vol 83 ◽  
Author(s):  
U. H. A. Barreto ◽  
A. S .S. Ribeiro ◽  
L. N. Coutinho ◽  
L. A. Moraes ◽  
P. Souza-Júnior ◽  
...  

Abstract Morphophysiological species researches are fundamental, and diagnostic imaging is an excellent technique, already used in wild animals, with great application, not invasive and provide real-time information of each body. Amazonian manatees are on the list of endangered animals classified in the vulnerable category and knowledge of the normal pattern of ultrasound anatomy of organs and tissues is important for the maintenance and well-being of captive specimens contributing to reintroduction actions. The objective of the study was to standardize the examination technique and describe the ultrasound findings of the liver, gallbladder, stomach, urinary bladder and the subcutaneous tissue of the abdominal region in Trichechus inunguis, in order to contribute with the anatomical and sonographic knowledge and assist in the diagnosis and prognosis diseases. The study used 18 animals to describe the normal sonographic anatomy in the abdominal cavity of the Amazonian manatee. During abdominal scan, it was possible to visualize the features of the liver, gallbladder, stomach, urinary bladder obtained satisfactory results in this study. Therefore, other structures were not primarily identified by the reduced time, lots of fat and gases in intestines of animals.

Author(s):  
Odunayo Magret Olarewaju

Industry 4.0 centers on the connection of physical and cyber networks to allow actionable insights and real-time information flow such that the well-being of the creatures, workplace, and the environment is guaranteed. Plastic pollution has been a major menace in South Africa and the proposed ban has not been implemented by the government. With the current measures of reducing the pollution, it was evident that the use of fourth industrial revolution has not been effective. Thus, it was recommended that government should enforce labelling of very single-use plastic and an associated fine should be attached to every single-use plastic found polluting the environment. It should be made mandatory for all management accountants to include cost for plastic pollution as one of the operating costs of each organisation. Also, it is recommended that robots can be erected around the cities, towns and workplace picking plastic waste. This will show the seriousness of the government to combat the single use plastic pollution and automatically curb the littering of the environment with plastics.


2021 ◽  
Vol 1 (3) ◽  
pp. 23-30
Author(s):  
Osnaya-Romero N ◽  
Conrado S ◽  
Dautt P

Polycystic kidney disease is an inherited disease that can lead to high blood pressure and kidney failure. In Mexico, 4.5% of patients with kidney failure are carriers of this disease; the liver is another of the organs affected by this disease that can manifest as abdominal pain and a mass effect in the abdominal cavity; we present 2 cases of polycystic kidney and liver disease (mother and child), in addition to describing the clinical manifestations, two different stages of the disease are shown, being a hereditary disease it is suggested that once a case is identified, an abdominal ultrasound is performed to first-degree relatives in search of cystic lesions to indicate preventive measures that help us preserve the overall well-being of the patient.


Author(s):  
Narinder Singh Punn ◽  
Sanjay Kumar Sonbhadra ◽  
Sonali Agarwal

AbstractThe catastrophic outbreak of Severe Acute Respiratory Syndrome - Coronavirus (SARS-CoV-2) also known as COVID-2019 has brought the worldwide threat to the living society. The whole world is putting incredible efforts to fight against the spread of this deadly disease in terms of infrastructure, finance, data sources, protective gears, life-risk treatments and several other resources. The artificial intelligence researchers are focusing their expertise knowledge to develop mathematical models for analyzing this epidemic situation using nationwide shared data. To contribute towards the well-being of living society, this article proposes to utilize the machine learning and deep learning models with the aim for understanding its everyday exponential behaviour along with the prediction of future reachability of the COVID-2019 across the nations by utilizing the real-time information from the Johns Hopkins dashboard.


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