Constraints on the Parameterized Deceleration Parameter in FRW Universe

Confirmation of accelerated expansion of the universe probed the concept of dark energy theory, and since then, numerous models have been introduced to explain its origin and nature. The present work is based on reconstructing dark energy by parametrization of the deceleration parameter in the FRW universe filled with radiation, dark matter, and dark energy. We have chosen some well-motivated parametrized models 1-3 in an attempt to investigate the energy density in terms of deceleration parameters by estimating the cosmological parameters with the help of different observational datasets. Also, we have introduced a new model 4 for the parametrization of the deceleration parameter. Then we analyzed the cosmography parameters using the best-fit values of the parameters. Using the information criteria, we have examined the viability of the models

Mapping Risk Assessment Strategy for COVID-19 Mobile Apps’ Vulnerabilities

Recent innovations in mobile technologies are playing an important and vital role in combating the COVID-19 pandemic. While mobile apps’ functionality plays a crucial role in tackling the COVID-19 spread, it is also raising concerns about the associated privacy risks that users may face. Recent research studies have showed various technological measures on mobile applications that lack consideration of privacy risks in their data practices. For example, security vulnerabilities in COVID-19 apps can be exploited and therefore also pose privacy violations. In this paper, we focus on recent and newly developed COVID-19 apps and consider their threat landscape. Our objective was to identify security vulnerabilities that can lead to user-level privacy risks. We also formalize our approach by measuring the level of risk associated with assets and services that attackers may be targeting to capture during the exploitation. We utilized baseline risk assessment criteria within the scope of three specific security vulnerabilities that often exists in COVID-19 applications namely credential leaks, insecure communication, and HTTP request libraries. We present a proof of concept implementation for risk assessment of COVID-19 apps that can be utilized to evaluate privacy risk by the impact of assets and threat likelihood.Ope

Temporal Variation of Temperature in Guwahati, Assam: An Application of Seasonal ARIMA Model

Analysis of time series has become a major tool in various applications in environmental areas to understand phenomena, like rainfall, temperature, humidity, draught and so forth. Here, SARIMA model has been used to carry out short-term predictions of monthly maximum and minimum temperature in Guwahati city of Assam. The present study aimed at analysing the temporal variation in temperature in Guwahati during the period 1981-2018. The study of linear trend indicated increasing trends in mean and maximum temperatures and decreasing trends in minimum temperatures, Mann-Kendall test has been used to know the variability in trends in annual and seasonal temperature. The analysis reveals an increasing pattern in temperature both seasonally and annually during the period 1981-2018. The analysis of moving average indicated two periods when annual mean temperature increased significantly. These periods are closely associated with the post-independence period of industrialization (1955-1965) and recent phase of urbanization (after 2000). The analysis also indicates that the rate of change in temperatures brought by post-independence period of industrial activities is higher than that of recent year’s urbanization. Again, the monthly and seasonal analysis of temperature revealed a sharp decline in minimum temperature during winter season and especially in the coldest month (January) than any other seasons

A green approach towards the removal of a water pollutant by encapsulation of HBCDD into cyclodextrins: Combined experimental and theoretical studies

Inclusion complexes of a non-biodegradable water pollutant in hydrophobic cavity of β-cyclodextrin and hydroxypropyl-β-cyclodextrin were prepared and characterized. It revealed the enhancement of its fire resistance property and promoted bio-degradability of the water pollutant molecule. The spectroscopic techniques, 1H NMR, 2D ROESY, HRMS, SEM were employed to establish the inclusion phenomenon. Substantial shifts in IR stretching frequency support the inclusion process. The confirmation about the 1:1 stoichiometry of inclusion complexes was obtained from HRMS measurement. Surface texture properties of the inclusion complexes were studied by SEM and the presence of bromine were proved by EDXS. Thermal stability of the inclusion complexes have been illustrated by DSC. The biodegradability study confirms the conversion of non-biodegradable HBCDD into biodegradable material by encapsulating in the two cyclodextrins, i.e., HBCDD get exposed to the microorganism that makes them biodegradable in nature. Furthermore, our theoretical calculations suggest HBCDD formed stable inclusion complexes with both β-CD and HP-β-CD and is concordant with our experimental observations

Chlorogenic Acid Inhibits Bcr-Abl Tyrosine Kinase and Triggers p38 mitogen-activated Protein Kinase–Dependent Apoptosis in Chronic Myelogenous Leukemic Cells

We report that chlorogenic acid (Chl) induces apoptosis of several Bcr-Abl– positive chronic myelogenous leukemia (CML) cell lines and primary cells from CML patients in vitro and destroys Bcr-Abl–positive K562 cells in vivo. In contrast, this compound has no effect on the growth and viability of Bcr-Abl–negative lymphocytic and myeloid cell lines and primary CML cells. Sodium chlorogenate (NaChl) exhibits 2-fold higher efficiency in killing K562 cells compared with Chl.NaChl also induces growth inhibition of squamous cell carcinoma (HSC-2) andsalivary gland tumor cells (HSG), although at 50-fold higher concentration. NaChl inhibits autophosphorylation of p210Bcr-Abl fusion protein rapidly.We demonstrate that p38 phosphorylation is increased in Bcr-Abl–positive cells after treatment with NaChl and closely paralleled the inhibition of Bcr-Abl phosphorylation. NaChl did not increase phosphorylation of p38 in Bcr-Abl–negative cells including HSC-2 and HSG that are responsive to this compound, indicating that p38 activation by NaChl is dependent on Bcr-Abl kinase inhibition. Inhibition of p38 activity by SB203580 significantly reduced NaChl-induced apoptosis of K562 cells, whereas activation of p38 by anisomycin augmented the apoptosis. These findings indicate that inhibition of Bcr- Abl kinase leading to activation of p38 mitogen-activated protein (MAP) kinase may play an important role in the anti- CML activity of Chl

Abstracts of 1st International Conference on Machine Intelligence and System Sciences

This book contains the abstracts of the papers presented at the International Conference on Machine Intelligence and System Sciences (MISS-2021) Organized by the Techno College of Engineering, Agartala, Tripura, India & Tongmyong University, Busan, South Korea, held on 1–2 November 2021. This conference was intended to enable researchers to build connections between different digital technologies based on Machine Intelligence, Image Processing, and the Internet of Things (IoT). Conference Title: 1st International Conference on Machine Intelligence and System SciencesConference Acronym: MISS-2021Conference Date: 1–2 November 2021Conference Location: Techno College of Engineering Agartala, Tripura(w), IndiaConference Organizer: Techno College of Engineering, Agartala, Tripura, India & Tongmyong University, Busan, South Korea