SARS-CoV-2 reverse zoonosis, particularly to domestic animals, and the potential role of infected animals in perpetuating the spread of the virus is an issue of increasing concern. In this case report, we identified the natural infection of two cats by SARS-CoV-2, in Argentina, whose owner had been previously infected by SARS-CoV-2. Viral genetic material was detected in feline oropharyngeal (OP) and rectal (R) swab by RT-qPCR, and sequence analysis revealed that the virus infecting the owner and one cat were genetically similar. The alpha variant (B.1.1.7 lineage) was identified with a unique additional mutation, strongly suggesting human-to-cat route of transmission. This study reinforces the One Health concept and the importance of integrating human, animal, and environmental perspectives to promptly address relevant health issues.
Security is currently one of the top concerns in our society. From governmental installations to private companies and medical institutions, they all have to address directly with security issues as: access to restricted information quarantine control, or criminal tracking. As an example, identifying patients is critical in hospitals or geriatrics in order to isolate infected people, which has proven to be a non- trivial issue with the COVID-19 pandemic that is currently affecting all countries, or to locate fled patients. Face recognition is then a non-intrusive alternative for performing these tasks. Although FaceNet from Google has proved to be almost perfect, in a multi-face scenario its performance decays rapidly. In order to mitigate this loss of performance, in this paper a cluster based on the Neural Computer Stick version 2 and OpenVINO by Intel is proposed. A detailed power and runtime study is shown for two programming models, namely: multithreading and multiprocessing. Furthermore, 3 different hosts have been considered. In the most efficient configuration, an average of 6 frames per second has been achieved using the Raspberry Pi 4 as host and with a power consumption of just 11.2W, increasing by a factor of 3.3X the energy efficiency with respect to a PC-based solution in a multi-face scenario.
Purpose: Thyroid cancer (papillary and follicular) patients were evaluated for initial external radiation exposure rate (r) at the time of ingestion of their I‐131 capsule. It is important to measure this rate (mR/h) and establish its variation with individual physical parameters such as age, sex, height, weight and body mass index (BMI). In this way, staff and public exposures can be estimated a priori for any future I‐131 therapy given the parameters of the prospective patient. Methods: Over the 2006 to 2010 interval, 156 consecutive individuals were measured for r values. A calibrated ion chamber was used to determine the initial exposure rate at one meter from the navel. Because of HIPPA requirements, only 61 of these patients could have their medical records reviewed for personal information. For this subset of individuals, correlations were made of r/activity with age, sex, height, body mass and body mass index (BMI). Results: The average female initial exposure rate was 0.150 +/− 0.044 mR/(h*mCi) with the male value being 0.154 +/− 0.033 mR/(h*mCi). There was no significant correlation on initial rate/activity with age, sex or height. Significant negative correlation of r/activity was found (p < 0.05) for patient weight (−0.296) and BMI (−0.386). In the former case, the probability was 0.021 and in the latter 0.00214 that the correlation was due to random causes. Conclusions: Mean initial exposure rate/activity for male (24) and female (37) patients were not significantly different. Largest correlation of r/activity was seen with the BMI index with weight being the second strongest correlation. Average patient initial exposure rate/activity at 1 meter decreased from 0.17 mR/(h*mCi) to 0.13 mR/(h*mCi) as BMI increased from 20 to 40 Kg/(m*m). BMI has significant effect on clinical exposure rates in thyroid cancer therapy.
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