Clinicoradiological Correlation of Covid19 Patients in Western Uttar Pradesh, India: A Descriptive Study

A pilot study of 150 patients at premier medical institute of western Uttar Pradesh, INDIA. The purpose of this pictorial review article is to describe the most common manifestations and patterns of lung abnormality on CXR in COVID-19 in order to equip the medical community in its efforts to combat this pandemic. The varied spectra of COVID-19 presentation included fever, cough, shortness of breath, sore throat etc. Diabetes mellitus, hypertension, COPD/K-Chest and CAD were found as major comorbid conditions. Symptomatic presentation of COVID-19 was observed to be higher in patients with co morbid disease, especially if multiple. HRCT chest in COVID-19 patients had a major diagnostic and prognostic importance as positive CT findings were more prominent in symptomatic patients and co-morbid patients. Clinical symptoms of patients directly correlated with CT severity index. CT imaging was found to be useful in predicting clinical recovery of patients or progression of disease. Introduction: COVID-19 (coronavirus disease 2019) is a highly infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), declared as a pandemic on 11th March 2020. The chest imaging findings are nonspecific and most commonly show atypical or organizing pneumonia, often with a bilateral, peripheral and bi-basal predominant distribution. Our study is concerned with the data of COVID positive patients admitted in the institute for the period of March 16- May 17, 2020. Aims and Objectives 1) To correlate clinical and radiological spectra of covid positive patients and their final outcome. 2) To describe the spectrum of lung parenchyma changes in the symptomatic as well as asymptomatic in COVID- 19 patients. Review of literature: This case report series presents a summary of key findings frequently associated with COVID-19, which will assist radiologists and clinicians in preliminary clinical evaluation (PCE). Materials and Methods: The data for the study is sourced from clinically suspected patients from the Covid Ward, LLRM Medical College, Meerut,(U.P.),INDIA which were subjected to chest radiography on 60mAh portable X-Ray machine. The patients are followed up to correlate the findings with clinical outcome. The study has been conducted on a minimum of 150 patients with portable Chest X-Ray machine. Observations & Discussion: The most frequent findings encountered are airspace opacities are viz- Hazy pulmonary opacities, Bilateral lower lobe consolidations, Peripheral air space opacities, Uncommon CXR findings, Diffuse air space disease. Conclusion: Based on our study, few inferences have been deduced; A significant proportion of the clinically symptomatic cases shows characteristic radiological changes on chest X-ray and also how chest radiography can be used as a tool not to substitute but supplement RTPCR in evaluation of COVID positive cases. Keywords: Patchy areas of consolidation, shortness of breath, high resolution CT Scan, RTPCR.

Śrauta Yajña and Environment

According to the ancient thinking an environment is constituted of 5 elements - earth, water, light, air, space. A reference from Chandogya Upanishad 5.24.5 clearly sheds light on the close relationship between Yajña and environment. The verse is as follows यथेह क्षुधिता बाला मातरं पर्युपासते एवं सर्वाणि भूतान्यग्निहोत्रमुपासते ।।

Riddled with holes: Understanding air space formation in plant leaves

Plants use energy from sunlight to transform carbon dioxide from the air into complex organic molecules, ultimately producing much of the food we eat. To make this complex chemistry more efficient, plant leaves are intricately constructed in 3 dimensions: They are flat to maximise light capture and contain extensive internal air spaces to increase gas exchange for photosynthesis. Many years of work has built up an understanding of how leaves form flat blades, but the molecular mechanisms that control air space formation are poorly understood. Here, I review our current understanding of air space formation and outline how recent advances can be harnessed to answer key questions and take the field forward. Increasing our understanding of plant air spaces will not only allow us to understand a fundamental aspect of plant development, but also unlock the potential to engineer the internal structure of crops to make them more efficient at photosynthesis with lower water requirements and more resilient in the face of a changing environment.

Quantum technology for military applications

Quantum technology is an emergent and potentially disruptive discipline, with the ability to affect many human activities. Quantum technologies are dual-use technologies, and as such are of interest to the defence and security industry and military and governmental actors. This report reviews and maps the possible quantum technology military applications, serving as an entry point for international peace and security assessment, ethics research, military and governmental policy, strategy and decision making. Quantum technologies for military applications introduce new capabilities, improving effectiveness and increasing precision, thus leading to ‘quantum warfare’, wherein new military strategies, doctrines, policies and ethics should be established. This report provides a basic overview of quantum technologies under development, also estimating the expected time scale of delivery or the utilisation impact. Particular military applications of quantum technology are described for various warfare domains (e.g. land, air, space, electronic, cyber and underwater warfare and ISTAR—intelligence, surveillance, target acquisition and reconnaissance), and related issues and challenges are articulated.

Modeling and Simulation of Human Body Heat Transfer System Based on Air Space Values in 3D Clothing Model

Comfort can be considered as subjective feeling, which could be affected by the external ambient, by the physical activity, and by clothing. Considering the human body heat transfer system, it mainly depends on various parameters including clothing materials, external and internal environment, etc. The purpose of the current paper is to study and establish a quantitative relationship between one of the clothing parameters, ease allowance (air gap values) and the heat transfer through the human body to clothing materials and then to the environment. The study considered clothing which is integrated with the 3D ease allowance from the anthropometric and morphological data. Such incorporating of the clothing’s 3D ease control was essential to properly manage the air space between the body and the proposed clothing thermal regulation model. In the context of thermal comfort, a clothing system consisting of the human body, an ease allowance under clothing, a layer of textile materials, and a peripheral layer adjacent to the textile material was used. For the complete system, the heat transfer from the skin to the environment, which is influenced by thermoregulation of the human body, air gap, tissue, and environmental conditions were also considered. To model and predict the heat transfer between the human body and the temperature of skin and clothes, a 3D adaptive garment which could be adjusted with ease allowance was used. In the paper, a thermoregulatory model was developed and proposed to predict the temperature and heat within clothing material, skin, and air space. Based on the result, in general the main difference in the temperature of clothing and skin from segment to segment is due to the uneven distribution of air layers under the clothing.