The Design and Development of Microstrip Patch Antenna using simulation studies by ADS

The matching network of a Microstrip Patch Antenna at 10.65 GHz was designed and developed using the software Advanced Design System (ADS). ADS is a powerful software for designing microwave electronic circuits. The Microstrip Patch antenna thus developed was tested at 10m Far Field Antenna Anechoic Chamber and Momentum Simulation studies of the same was carried out using a Network Analyzer that can analyze signals in GHz range

Quantized Deep Transfer Learning - Gearbox Fault Diagnosis on Edge Devices

This study has designed and implemented a deep transfer learning (DTL) model-based framework that takes an input time series of gearbox vibration patterns, which are accelerometer readings. It classifies the gear’s damage type from a predefined catalog. Industrial gearboxes are often operated even after damage because damage detection is formidable. It causes a lot of wear and tear, which leads to more repair costs. With this proposed DTL model-based framework, at an early stage, gearbox damage can be detected so that gears can be replaced immediately with less repair cost. The proposed methodology involves training a convolutional neural network (CNN) model using a transfer learning technique on a predefined dataset of eight types of gearbox conditions. Then, using quantization, the size of the CNN model is reduced, leading to easy inference on edge and embedded devices. An accuracy of 99.49 % using transfer learning of the VGG16 model is achieved, pre-trained on the Imagenet dataset. Other models and architectures were also tested, but VGG16 emerged as the winner. The methodology also addresses the problem of deployment on edge/embedded devices, as in most cases, accurate models are too heavy to be used in the industry due to memory and computation power constraints in embedded devices. This is done with the help of quantization, enabling the proposed model to be deployed on devices like the Raspberry Pi, leading to inference on the go without the need for the internet and cloud computing. Consequently, the current methodology achieved a 4x reduction in model size with the help of INT8 Quantization

Community seed banks as seed producers: Cases from India, Nepal, Uganda and Zimbabwe

Community-based seed producers are a relatively under-researched and under-documented category of seed producers, but have the potential to cater to the diverse seed needs and interests of smallholder farmers. This working paper presents a number of such community-seed producers, with a focus on community seed banks. The case studies from India, Nepal, Uganda and Zimbabwe point to the viability of community seed banks as seed producers and distributors, but becoming successful is not easy and depends on several factors, including initial technical guidance and support, sufficient time, adherence to a seed value chain perspective and the development of a sound business plan from the very start

Cohort Profile: Burden of Obstructive Lung Disease (BOLD) study

The Burden of Obstructive Lung Disease (BOLD) study was established to assess the prevalence of chronic airflow obstruction, a key characteristic of chronic obstructive pulmonary disease, and its risk factors in adults (≥40 years) from general populations across the world. The baseline study was conducted between 2003 and 2016, in 41 sites across Africa, Asia, Europe, North America, the Caribbean and Oceania, and collected high-quality pre- and post-bronchodilator spirometry from 28 828 participants. The follow-up study was conducted between 2019 and 2021, in 18 sites across Africa, Asia, Europe and the Caribbean. At baseline, there were in these sites 12 502 participants with high-quality spirometry. A total of 6452 were followed up, with 5936 completing the study core questionnaire. Of these, 4044 also provided high-quality pre- and post-bronchodilator spirometry. On both occasions, the core questionnaire covered information on respiratory symptoms, doctor diagnoses, health care use, medication use and ealth status, as well as potential risk factors. Information on occupation, environmental exposures and diet was also collected

The emerging role of gut microbiota in cardiovascular diseases

There is mounting evidence which suggests the involvement of gut microbiota dysbiosis in the pathogenesis of various cardiovascular diseases (CVD) and associated risk states such as hypertension, type 2 diabetes, obesity and dyslipidaemia, atherosclerosis, heart failure and atrial fibrillation. The current review comprehensively summarizes the various pathogenetic mechanisms of dysbiosis in these conditions and discusses the key therapeutic implications. Further deeper understanding of the pathogenetic links between CVD and gut microbiota dysbiosis can aid in the development of novel microbiota-based targets for the management of CVDs

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223