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The COVID 19 pandemic is highly contagious disease is wreaking havoc on people's health and well-being around the world. Radiological imaging with chest radiography is one among the key screening procedure. This disease contaminates the respiratory system and impacts the alveoli, which are small air sacs in the lungs. Several artificial intelligence (AI)-based method to detect COVID-19 have been introduced. The recognition of disease patients using features and variation in chest radiography images was demonstrated using this model. In proposed paper presents a model, a deep convolutional neural network (CNN) with ResNet50 configuration, that really is freely-available and accessible to the common people for detecting this infection from chest radiography scans. The introduced model is capable of recognizing coronavirus diseases from CT scan images that identifies the real time condition of covid-19 patients. Furthermore, the database is capable of tracking detected patients and maintaining their database for increasing accuracy of the training model. The proposed model gives approximately 97% accuracy in determining the above-mentioned results related to covid-19 disease by employing the combination of adopted-CNN and ResNet50 algorithms.

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Recent years have witnessed rapid development and great indignation burgeoning in the unmanned aerial vehicles (UAV) field. This growth of UAV-related research contributes to several challenges, including inter-communication from vehicle to vehicle, transportation coverage, network information gathering, network interworking effectiveness, etc. Due to ease of usage, UAVs have found novel applications in various areas such as agriculture, defence, security, medicine, and observation for traffic-monitoring applications. This paper presents an innovative drone system by designing and developing a blended-wing-body (BWB)-based configuration for next-generation drone use cases. The proposed method has several benefits, including a very low interference drag, evenly distributed load inside the body, and less radar signature compared to the state-of-the-art configurations. During the entire procedure, a standard design approach was followed to optimise the BWB framework for next-generation use cases by considering the typically associated parameters such as vertical take-off and landing and drag and stability of the BWB. Extensive simulation experiments were performed to carry out a performance analysis of the proposed model in a software-based environment. To further confirm that the model design of the BWB-UAV is fit to execute the targeted missions, the real-time working environments were tested through advanced numerical simulation and focused on avoiding cost and unwanted wastages. To enhance the trustworthiness of this said computational fluid dynamics (CFD) analysis, grid convergence test-based validation was also conducted. Two different grid convergence tests were conducted on the induced velocity of the Version I UAV and equivalent stress of the Version II UAV. Finite element analysis-based computations were involved in estimating structural outcomes. Finally, the mesh quality was obtained as 0.984 out of 1. The proposed model is very cost-effective for performing a different kind of manoeuvring activities with the help of its unique design at reasonable mobility speed and hence can be modelled for high-speed-based complex next-generation use cases.

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INTRODUCTION: Motivational enhancement therapy is characterized as a directive, client-centered intervention which helps in modification of behavior by helping subjects in identifying and resolving the ambivalence toward a change in self. In order to free one from the vicious cycle of the alcohol trap one needs self-efficacy, which serves a protective role to prevent from relapses. The study aims to assess and compare the effectiveness of MET on the self-efficacy of individuals pre and posttest with control design were applied. METHODS: A total of 40 subjects, alcohol-dependent persons fulfilling International classification of Diseases-10 criteria were selected through purposive sampling method from Outdoor and Indoor Service of Psychiatry Department IMS BHU, Varanasi, were randomly divided into two groups. 1st group 20 subjects were given motivational enhancement therapy session for 10 sessions along with treatment as usual (MET + TAU), whereas 2nd group control group were given treatment as usual (TAU) at the end of intervention post level of self-efficacy were measured through self-efficacy scale. Modified Kuppuswamy Socioeconomic Status Scale, Alcohol use disorder identification test, Self-Efficacy Scale as tools were used. RESULT: The result shows that the mean value of self-efficacy in (MET + TAU) group before intervention was 56.30 ± 2.99 and mean value of self-efficacy in (MET + TAU) after intervention was 60.75 ± 2.65 which shows significant difference is found in self-efficacy after intervention. CONCLUSION: Motivational enhancement therapy tries to decrease ambivalence so as to enhance the change in the subject's self-efficacy which assists the individuals in abstinence from alcohol.

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AIM: The study was designed to establish relationship between the plasma concentration and QTc interval prolonging effect of fexofenadine and demonstrate the phenomenon of anticlockwise hysteresis. MATERIALS AND METHODS: Six subjects were given fexofenadine 60 mg tablet orally under stable conditions, and their drug concentrations were measured at regular intervals. At predetermined time, their ECGs were recorded. Data were analyzed and plotted graphically. DESIGN AND SETTING: Randomized parallel design, single group study conducted at clinical research organization of Ahmadabad. RESULTS: In all subjects time taken for maximum plasma concentration of fexofenadine (T(max)) was around 3 h and the value of average maximum plasma concentration was 460.63 ng/mL, the effect of fexofenadine on the heart (measured as QTc interval prolongation) was maximum (E(max)) after 6 h and average QTc interval was 469.75 ms. Thus, the time to maximum concentration of fexofenadine did not match with the maximum effect on the heart as measured by QTc interval. CONCLUSION: The relationship between the drug concentration and drug effect on the heart are at two different time scales. It can be understood by two-compartment model of pharmacokinetics, and this retardation or lagging of an effect behind the concentration is known as hysteresis. The increase of QTc was not beyond 500 ms and not sustained, demonstrating overall cardiac safety of fexofenadine.