Artificial Intelligence (AI) has revolutionized in information technology.AI is a subfield of computer science that includes the creation of intelligent machines and software that work and react like human beings. AI and its Applications gets used in various fields of life of humans as expert system solve the complex problems in various areas as science, engineering, business, medicine, video games and Advertising. But “Do any traffic lights use Artificial Intelligence??”, I thought a lot of this when waiting in a red light. This paper gives an overview of Artificial Intelligence and its applications used in human life. This will explore the current use of Artificial Intelligence technologies in Network Intrusion for protecting computer and communication networks from intruders, in the medical area-medicine, to improve hospital inpatient care, for medical image classification, in the accounting databases to mitigate the problems of it, in the computer games, and in Advertising. Also, it will show artificial intelligence principle and how they were applying in traffic signal control, how they solve some traffic problem in actual. This paper gives an introduction to a self-learning system based on RBF neural network and how the system can simulate the traffic police’s experience. This paper is focusing on how to evaluate the effect of the control with the changing of the traffic and adjust the signal with the different techniques of Artificial Intelligence.

Background Studies have revealed that the COVID-19 pandemic has increased sedentary behavior and reduced the number of physical activities in public. The present study attempted to assess the changes in physical activity patterns among the residents of a south Indian city at different stages after the COVID-19 outbreak. The present cross-sectional prospective study was conducted on 372 participants between November 2020 and March 2021. The physical activity patterns before, during, and after the lockdown phase were collected using a custom-built questionnaire, and the current level of physical activity was recorded using the international physical activity questionnaire–short form (IPAQ-SF). Results Higher number of respondents reported limiting the intensity of physical activities during and after lockdown [(228/372; 61.29%) and (216/372; 58.06%), respectively]. Additionally, respondents reporting lower physical activity intensity [mean total metabolic equivalents of task (MET)/week: 1182.80] compared with (99/372; 26.61%), and (63/372; 16.93%) numbers of participants who engaged in moderate (mean total MET/week-3005.86) and high levels (mean total MET/week-4188.67) of physical activities respectively. Conclusions The results of the study reported immediate and long-term impacts on self-reported physical activity patterns among the study sample.

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BACKGROUND We presented role of MRI in fistula-in-ano before the surgery. In our institute, we do preoperative MRI in all the patients presented with perianal discharge or external opening. MRI is very accurate for depiction of both the primary tract (sensitivity, 100%; specificity, 86%) and abscesses (sensitivity, 96%; specificity, 97%). The aim of the study is to classify the perianal fistulas according to the St. James University Hospital (SJUH) grading scheme and Park's classification and to evaluate the different characteristics of the fistula-in-ano in clinically-diagnosed cases.