Abbottzamora2175
The worldwide spread of COVID-19 caused a nationwide lockdown in India from 24 March 2020 and was further extended up to 3 May 2020 to break off the transmission of novel Coronavirus. The study is designed to assess the changes in air quality from the pre-lockdown period to the during lockdown period in Kolkata and Howrah municipal corporation, West Bengal, India. GIS-based techniques include the spatial and temporal distribution of pollutants using interpolation method, and on the other hand, statistical methods like analysis of variance (ANOVA) was applied to determine the mean differences two phases and correlation matrix helps to understand the changing association of the pollutants in pre- and during lockdown phases. Significant correlations have been found among the pollutants, ANOVA (Two-Way) has shown the significant mean difference of NAQI between the two phases, F(1,611) = 465.723, p less then 0.0001; pairwise comparison for Ballygunge has shown the highest mean difference 108.194 at p less then 0.0001 significant level between lockdown and pre-lockdown phase. Significant positive correlation has been found between PM2.5, PM10 (0.99*); PM2.5, NO2 (0.81*); PM10, NO2 (0.81*); CO, NO2 (0.77*) and some negative correlations have also been found between O3, NO (- 0.15); O3 and NH3 (- 0.36) in the pre-lockdown phase. selleck chemicals llc The reduction amount of mean concentration from the pre-lockdown phase to during lockdown of the main pollutants like PM2.5, PM10 and NO2 are ~ 58.71%, ~ 57.92% and ~ 55.23%. Near Rabindra Bharati University constant emission of PM2.5, 10 and NO2 have been recorded due to the nearby Cossipore thermal power station.Due to the Covid-19 pandemic, labor force is greatly confined by quarantine (social distancing), and limited units of labor and capital are available at the workplace. Millions of employees have lost their jobs and are facing financial hardships. Likewise, capital owners have become illiquid and possibly insolvent within months. This cycle seems to continue for other factors of production as well. Even after lifting quarantines, the global trade might take months (years) to return to its actual potential. Using the GTAP-VA model, the present study simulates the impact of the double-hit scenario of Covid-19 on the global value chains and identifies production losses in different sectors of the world economy.4-Aminobenzoic acid (4ABA) is a biologically relevant, small organic molecule with two protonation sites the amino group (N-protomer) and the carboxyl group (O-protomer). The O-protomer is energetically preferred in the gas-phase, while the higher energy N-protomer can be trapped using aprotic solvents such as acetonitrile during electrospray ionization. Here, we focus on the structure of the O-protomer, which can occur in three low-lying isomeric forms that result from different orientations of the OH groups relative to the benzene ring. We report the vibrational spectra of both N- and O-protomers of the cryogenically cooled ions in the gas phase over the spectral range 800-4000 cm-1. The bands arising from the OH stretches are isolated from the nearby NH stretching fundamentals using isotopic labeling as well as by analysis of the shifts in these fundamentals upon attachment of D2 and N2 molecules to the OH groups of the O-protomer. The spectra of isomers derived from the different locations of the adducts were isolated using two-color, IR-IR photofragmentation spectroscopy. The docking motifs by which the O-protomer binds to another 4ABA molecule is also explored and found to feature a bifurcated arrangement involving attachment of both OH groups of the protonated head group to the carbonyl group of the neutral partner.To date, most HIE studies have investigated user perceptions of value prior to use. Few studies have assessed factors associated with the value of HIE through its actual use. This study investigates provider perceptions on HIE comparing those who had prior experience vs those who had no experience with it. In so doing, we identify six constructs prior use, system complexity, system concerns, public/population health, care delivery, and provider performance. This study uses a mixed methods approach to data collection. From 15 interviews of medical community leaders, a survey was constructed and administered to 263 clinicians. Descriptive statistics and analysis of variance was used, along with Tukey HSD tests for multiple comparisons. Results indicated providers whom previously used HIE had more positive perceptions about its benefits in terms of system complexity (p = .001), care delivery (p = .000), population health (p = .003), and provider performance (p = .005); women providers were more positive in termsanization setting (hospital, ambulatory clinic, medical office, other). This study draws from the theory of planned behavior to understand factors related to physicians' perceptions about HIE value, serving as a departure point for more detailed investigations of provider perceptions and behavior in regard to future HIE use and promoting interoperability.The concept of appropriation is of paramount importance for the lasting use of an Information Technology (IT) artefact following its initial adoption, and therefore its success. However, quite often, users' original expectations are negatively disconfirmed, and instead of appropriating the IT artefact, they discontinue its use. In this study we examine the use of IT artefacts following negative disconfirmation and use Grounded Theory Method techniques to analyse 136 blogposts, collected between March 2011 - July 2017, to investigate how users appropriate or reject the tablet when technology falls short of users' expectations. Our findings show that users overcome negative disconfirmation through a trial and error process. In doing so, we identify that users appropriate the tablet when the attained benefits significantly outweigh the risks or sacrifices stemming out of its use. We discuss our contribution within the context of the appropriation literature, and highlight that the success of IT lies with the user's success in identifying personal use scenarios within and across diverse contexts of use.