Bio-control of mosquito larvae using filamentous fungi-environmental study
fungal species are useful for medical and agriculture purpose as a bio- control agent. In aquatic environments, temperature, salinity and organic pollution are the important factors.The objective of the current project was to investigate the possibilities of controlling the mosquito population using fungal cultures. to investigate the possibilities of controlling the mosquito population using fungal cultures. In the view of rampant increase in the incidence of dengue fever transmitted through mosquitoes it is absolutely essential to control the mosquito population. There are different species of mosquitoes of which dengue virus is transmitted by the Aedes aegypti, found in habitats like stagnant clear waters, backyards which are common in urban areas. In the present work water samples were collected from in and around Mumbai, the water samples were examined for its nutritional status by analyzing them physically, chemically and biologically.The fungal cultures obtained from water samples were predominantly Aspergillus niger, Aspergillus terreus, and Penicillium, Trichoderma, Curvularia, Sprolegmia and Achlya.. As per the results it was observed that the Curvularia was the most effective on the larvae as the mortality rate was 100%. . The death of the larvae could be possibly due to the organic acids produced by the fungi. Microscopic observation of the larvae shows the growth of the fungi on larvae ultimately killing it. This is the most effective bio-control.
Published by: Dharit Bhatt, Dr. Sashirekha Sureshkumar, Shamil Darbar
Author: Dharit Bhatt
Paper ID: V6I4-1156
Paper Status: published
Published: July 4, 2020
The food and beverage sector in the COVID-19 times
The following research paper attempts to unravel the effects of the COVID-19 pandemic on industries’ operations. In order to ensure that the inferences drawn are reliable, this paper focuses exclusively on the dynamic Food & Beverage Sector.
Published by: Vir Jain
Author: Vir Jain
Paper ID: V6I4-1151
Paper Status: published
Published: July 4, 2020
Gender Neutrality in Public Spaces
Public spaces are highly defined by gender conceptions and traditional power structures. How we engage with public spaces changes intensively depending on our gender. The ideas of space and gender are intrinsically connected. This issue leads to a strong division of the public sphere. While men tend to prefer function and comfort, women lean towards appearance and comfort. The common factor is comfort and that's the key to making a gender-neutral space where there is no feeling of dominance. Moreover, it also leads to discriminatory behaviors towards minority gender. This article describes the requirement to consider the issue of gender in the common spaces to progressively conceive the public sphere following the changing society we live in. By properly understanding the preferences of the vast spectrum of genders we can begin to achieve a more neutral and less of a gender bias environment that encourages equality. Analyzing the problems faced by different genders in a public space through online surveys and interviews with renowned architects will help us formulate the best-required solutions that would help eradicate gender misconceptions while designing a public space. Avenues for future research are identified to explore gendered practices that hinder the development of women and the LGBTQ community in the society.
Published by: Danette Rebeiro, Janak Patel, Mahalakshmi. C, Ankita Biswas, Vidya Srikanth
Author: Danette Rebeiro
Paper ID: V6I3-1510
Paper Status: published
Published: July 4, 2020
Higher education in India- The past glory of excellence, the downfall, and an attempt to rise again
The current study titled “Higher Education in India –The Past Glory of Excellence, the Downfall, and an Attempt to Rise Again” is a quantitative study to analyse the perceptions of people about the Higher Education in India. The investigator used random sampling method to collect the information through an online survey. The sample consisted of 40 individuals who are directly or indirectly involved in the higher education system. The study revealed that India had enjoyed a well renowned higher education system and world class universities. India contributed immensely towards Science, Mathematics, surgery and medicine. But the statics show that now India’s performance in higher education in the global level is alarming and shameful. The young generation wants to move to world- class universities abroad for their higher education. The findings of the study shows that most of the respondents are aware about the positive aspects, negative aspects, brain drain and the current scenario of Indian Higher Education System. The finding also shows the Indian Education System needs radical changes and more investment from the government towards its development. There was a strong opinion that Indian universities should respond to global changes and also work hard towards the skill-based training rather than the age old theory-based learning.
Published by: Nisha Chakyarkandiyil
Author: Nisha Chakyarkandiyil
Paper ID: V6I4-1147
Paper Status: published
Published: July 3, 2020
The systemic pattern of Evolution
The paper depicts about the relation of the evolution in contest of comparison of gene difference of an organism in present generation and older generation
Published by: Ajil Benny
Author: Ajil Benny
Paper ID: V6I4-1142
Paper Status: published
Published: July 3, 2020
Screening COVID-19 cases using Deep Neural Networks with X-ray images
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. It is critical to detect the positive cases as early as possible so as to prevent the further spread of this epidemic and to quickly treat affected patients. The need for auxiliary diagnostic tools has increased as there are no accurate automated toolkits available. Recent findings obtained using radiology imaging techniques suggest that such images contain salient information about the COVID-19 virus. Application of advanced artificial intelligence (AI) techniques coupled with radiological imaging can be helpful for the accurate detection of this disease, and can also be assistive to overcome the problem of a lack of specialized physicians in remote villages. In this study, a new model for automatic COVID-19 detection using raw chest X-ray images is presented. The proposed model is developed to provide accurate diagnostics for binary classification (COVID vs. No-Findings) and multiclass classification (COVID vs. No-Findings vs. Pneumonia). My model produced a classification accuracy of 98.08% for binary classes and 87.02% for multi-class cases. The DarkNet model was used in my study as a classifier for the you only look once (YOLO) real time object detection system. I implemented 17 convolutional layers and introduced different filtering on each layer. My model can be employed to assist radiologists in validating their initial screening, and can also be employed via cloud to immediately screen patients. With the ever increasing demand for screening millions of prospective “novel coronavirus” or COVID-19 cases, and due to the emergence of high false negatives in the commonly used PCR tests, the necessity for probing an alternative simple screening mechanism of COVID-19 using radiological images (like chest X-Rays) assumes importance. In this scenario, machine learning (ML) and deep learning (DL) offer fast, automated, effective strategies to detect abnormalities and extract key features of the altered lung parenchyma, which may be related to specific signatures of the COVID-19 virus. However, the available COVID-19 datasets are inadequate to train deep neural networks. Therefore, I propose a new concept called domain extension transfer learning (DETL).
Published by: Tarit Sengupta
Author: Tarit Sengupta
Paper ID: V6I3-1626
Paper Status: published
Published: July 3, 2020
