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"In the present era, technological developments are increasing the efficiency and potential of each stakeholder in a business. Robotic process automation is one of the key areas that can be applied in business organizations and corporate sectors to enhance productivity and show a path to success.Application and Adoption of Robotic Process Automation for Smart Cities provides relevant theoretical frameworks and various developments in the area of robotic process automation. Covering topics such as banking and financial services, public engagement, and smart cities, this premier reference source is a valuable resource for business leaders, IT managers, government officials, engineers, students and educators of higher education, researchers, and academicians."--

AbstractThe main objective of this paper is to assess the relationship between crime rate and land use, which reflects the principle of crime prevention through environmental design (CPTED) at the city level. Crime data for 2022 is taken for Surat city and regressed against various land uses and road networks. These land use and road networks depict three CPTED principles: natural surveillance, access control and activity support. First, crime hotspot mapping is done using various spatial interpolation methods, and relative comparison is done using the root mean square error value. The IDW method is found to be the most suitable method for hotspot mapping of Surat city. The result shows that residential, industrial and recreational land uses have a significant correlation with crime rates. Residential and industrial areas have a positive impact, whereas recreational spaces have a negative impact on crime rates. Increased road connectivity also has a positive correlation with crime rates. This study suggests that the crime rate varies with different land uses and road networks. Hence, CPTED principles do affect at the city level.

This report describes the use of Bayesian networks (BNs) to model statistical loss distributions in financial operational risk scenarios. Its focus is on modeling "long" tail, or unexpected, loss events using mixtures of appropriate loss frequency and severity distributions where these mixtures are conditioned on causal variables that model the capability or effectiveness of the underlying controls process. The use of causal modeling is discussed from the perspective of exploiting local expertise about process reliability and formally connecting this knowledge to actual or hypothetical statistical phenomena resulting from the process. This brings the benefit of supplementing sparse data with expert judgment and transforming qualitative knowledge about the process into quantitative predictions. We conclude that BNs can help combine qualitative data from experts and quantitative data from historical loss databases in a principled way and as such they go some way in meeting the requirements of the draft Basel II Accord (Basel, 2004) for an advanced measurement approach (AMA).

O artigo tem como objetivo analisar a contribuição do Balanced Scorecard no desdobramento do planejamento estratégico em uma empresa de pequeno porte. O método utilizado é o descritivo, visto que analisa, classifica e interpreta os dados coletados. Foi realizada uma entrevista semiestruturada com o gerente comercial, que possui, juntamente com o proprietário, o maior conhecimento estratégico dentro da organização. Conversas com ex-funcionários auxiliaram no conhecimento estratégico e tático da organização estudada. Como resultado, constatou-se a possibilidade de desenvolver o Balanced Scorecard como ferramenta de contribuição para o planejamento estratégico, sendo de grande valia para a empresa estudada, inclusive sendo sugerido um estudo futuro, com objetivo de implementar o Balanced Scorecard.

The Covid-19 pandemic is expected to continue to impose enormous burdens of morbidity and mortality while severely disrupting societies and economies worldwide.A vaccine provides the best hope for a permanent solution to controlling the pandemic. However, to be effective, a vaccine must be accepted and used by a large majority of the population. Aim:The aim of this study was to understand the acceptence and attitudes towards Covid-19 vaccination. Methodology: The current study used a cross-sectional design based on an online questionnaire. 944 responses were selected by non-probability snowball sampling technique The samples were including public of Udaipur district residents during the rapid rise period of the Covid-19 outbreak.An online structured questionnaire was developed by using Google forms, with a consent form appended to it. Three point likert scale (Agree, Not sure, and Disagree) consist of total 16 statements were prepared to assess attitude towards COVID-19 vaccination. Frequency and percentage distribution was used to present the data. Results:Resultsindicated that overall acceptance of Covid-19 vaccine in that majority of participant (N=750, Percentage=80.5%) would accept Covid-19 vaccine, whereas 3.4% particepant(N=32) would not accept Covid-19 vaccine and remaining 16.1% participants (N=152)were neutral to get vaccine.In addition, Male particepants(N=580) were more likely to accept Covid-19vaccines compared tofemalesparticepant (N=180).Majority of the participants (N=660, Precentage=69.9%) were agreed that the covid-19 vaccine is safe to receive, 64.4% respondents (N=608) were agreed that Covid-19 Vaccine undergoes enough safety and efficacy trial. Conclusion:It is concluded that acceptence towards covid-19 vaccination is high. They beleived that vaccine is safe and they will recommended to their family members also.Government effort should be made to fast distribute Covid-19 Vaccination.

Introduction: The COVID-19 pandemic has revealed critical gaps in the public's knowledge of infectious diseases. Experts, including the World Health Organization, acknowledge that an "infodemic" of misinformation is spreading at the same time as the pandemic. Furthermore, 13% of Canadians age 50 and younger reported using social media as their primary source of information about COVID-19. Thus, in January 2020, the Infectious Disease Working Group (IDWG) was formed by a group of students at the Dalla Lana School of Public Health, University of Toronto. The IDWG's Media Messaging Team (MMT) uses Knowledge Translation (KT) strategies to increase access to evidence-based information related to public health and COVID-19. Specifically, MMT uses virtual platforms, including Twitter and Instagram (@infectious_info), to disseminate information to a wide audience. Objectives: The MMT aims to produce content to dispel pervasive and harmful myths about COVID-19, raise public awareness, and advocate for health equity. Methods: The team creates 2-4 pieces of original content per week on topics such as Ontario Government legislation updates, myth-busting series, and "Wednesday Series" (summaries of novel research findings). The IDWG employs an equity lens to ensure that the content takes into account the experiences and needs of diverse groups, and that graphics are representative of a diverse audience. Health communication strategies are used to promote audience engagement through compelling and bold content design. Results: The Instagram account has over 4,400 followers, with some posts surpassing 50,000 views. Qualitative feedback from social media followers indicates that this project is addressing an emerging gap in knowledge resulting from unclear messaging from official bodies, the spread of mis/disinformation, and disparities in health literacy levels. Conclusions: The findings can inform the development and implementation of KT strategies to reach a wide audience and increase the uptake of public health information.