Self-healing concrete: A bacterial approach
Self-healing concrete received an attention in previous few decades. This paper reviews the analysis conducted on self-healing in previous two decades. Self-healing approaches, differing types of healing agents used, incorporating procedures, and analysis techniques square measure highlighted during this paper. The development of cracking and crack- healing, materials used for crack-healing and also the strategies and techniques utilized throughout the method, the outcomes of experiments mentioned by numerous researchers from their work square measure highlighted. From the literature review, it had been terminated that the crack breadth sizes up to 0.1mm can be healed with self-produced self- healing mechanism, whereas, crack scrutinize to 1 mm are often well with autonomous self- healing mechanism. it had been determined that the healing potency was entirely smitten by the concrete exposure to corresponding surroundings, the kind of healing agent used, procedures and techniques followed.
Published by: Vaibhav Tonpe, Nikhil Sawant, Akash Verma, Pushpak Patil, Kiran Thombre
Author: Vaibhav Tonpe
Paper ID: V7I3-1252
Paper Status: published
Published: May 12, 2021
Origin of Universe and Life with the Theory of Stability and Law of Universal Neutrality
There must be a single cause or purpose behind the origin of the universe, the time dilation we observe and the origin of life on earth as well as the single minute activity we see in this universe. The world is chasing for decades these big questions. Hereby trying to explain reasonable answers to all these questions. To explain these questions I have taken all the proposed theories and laws under consideration in all of my thought experiments and the result I have found correlates to all the proposed formulas in different fields of science. The theory of stability and universal law of neutrality explains the valid answers to all these questions. With the help of these laws and the theory proposed, The field of science will be more close to the universe and this will eventually help mankind to build a better world in the future with revolutionary changes in all the fields of science.
Published by: Mithun S. Gowardhan
Author: Mithun S. Gowardhan
Paper ID: V7I3-1245
Paper Status: published
Published: May 12, 2021
An investigation into the causes behind gender inequality in India with a special focus on possible solutions and analysis of the progress already made
This paper is conceptualized around gender inequality in India. It explores the causes of gender inequality and provides solutions for bridging the gap- one being financial literacy. It and also highlights several government initiatives undertaken to bridge the gap and empower females. It briefly summarises the outcomes gained from the interviews which were conducted with some of the women at senior-most positions in the Corporate sector in India. It explores and discusses the significant progress which has been made in the corporate sector and with the emergence of the service sector as a big contributor to India’s GDP.
Published by: Nehal Sanghai
Author: Nehal Sanghai
Paper ID: V7I3-1255
Paper Status: published
Published: May 12, 2021
Domination of online education over traditional education
Online versus traditional education
Published by: Dr. Jitendra Kaur
Author: Dr. Jitendra Kaur
Paper ID: V7I3-1246
Paper Status: published
Published: May 11, 2021
Evaluation of free radical scavenging activity and skin whitening potential of cyanobacteria
In day-to-day life, our skin is exposed to various chemicals, environmental pollution, and UV radiation which results in the early onset of photoaging and skin darkening. There is increased demand for skin whitening cosmetics for skin protection as well as aesthetic looks. The current skin whitening agents used in cosmetic industries have adverse effects on the skin. There is increased demand for natural active agents as a skin whitening agent. Cyanobacteria are ubiquitous in nature and quickly adopt different environments.1 Alga produce various secondary metabolites like carotenoids, phenolics, flavonoids, MAA (mycosporine-like amino acids) which are antioxidants in nature and have therapeutic potential in the pharmaceutical and cosmetic industry2. This study focuses on the isolation and characterization of cyanobacteria from different environmental niches. The antioxidant potential of whole-cell extracts of cyanobacteria was evaluated using DPPH inhibition assay and ABTS assay. Their potential application as a skin whitening agent was studied by anti-tyrosinase activity using the mushroom tyrosinase enzyme. The tyrosinase inhibition activity of cyanobacterial isolates was observed in the range of 30 to 40%. They have good antioxidant potential. They are rich in carbohydrate, protein, and lipid content indicate the potential of the cyanobacterial extracts so they have potential in the cosmetic and pharmaceutical industries.
Published by: Shraddha Ratnaparkhe, Devyani Mali, Dr. Bela Nabar
Author: Shraddha Ratnaparkhe
Paper ID: V7I3-1250
Paper Status: published
Published: May 11, 2021
Underwater image enhancement using improved Particle Swarm Optimization
The underwater images are used for monitoring the underwater pipelines and aquaculture. However, obtaining a clear image is a difficult task due to light scattering and absorption issues. Due to these issues, a very low contrast, blur, and color distortion underwater image is obtained. To overcome these issues, enhancement algorithms have been designed. In the literature, conventional algorithms are used for enhancement purposes are histogram equalization, stretching, and power-law expression. However, these algorithms over-enhance the images if proper parameters are not taken under consideration. Therefore, swarm-based optimization algorithms have been used to determine the optimal values of these parameters. In this paper, we have designed an improved particle swarm optimization-based enhancement algorithm. In the proposed method, initially, pre-processing of the underwater image is done and its channels are extracted. After that, based on the mean values of the channels, the channels are classified into three types, namely, superior, intermediate, and inferior. Based on the superior channel, gain factors are determined and enhance the intermediate and inferior channels. Next, the power-law expression is applied to the inferior and intermediate channels to enhances its gamma value. The gamma value in the proposed algorithm is determined using an improved particle swarm optimization (PSO) algorithm. In the improved PSO algorithm, the initial population of the PSO algorithm is defined using a chaotic map algorithm therefore PSO algorithm does not fall into the local optimal solution. In the last, contrast-limited adaptive histogram equalization (CLAHE) for enhancement. The experimental results are performed for the standard dataset images and simulated in MATLAB. Further, qualitative and quantitative analysis is done for the proposed algorithm. The results show that the proposed algorithm is superior as compared to the existing algorithms
Published by: Sanjeev Kumar, Sarabjeet Kaur
Author: Sanjeev Kumar
Paper ID: V7I3-1170
Paper Status: published
Published: May 11, 2021
