An Exploration on Visualization of Data Utilizing Tableau

The most common technique of analyzing data assembled to draw conclusions concerning the knowledge they contain, a lot of} with the utilization of specialized frameworks and programmes, is data examination. Researchers and professionals often use data analysis techniques and innovations to validate or, on the opposite hand, refute logical models, enabling organizations to form higher business decisions. Information analysis is turning into more and more popular in several fields, together with healthcare. Not solely will illustration play an enormous role in naturally displaying the results of knowledge analysis, however additionally throughout the whole method of collecting, cleaning, Associate in Nursing analyzing, and sharing information. this text outlines an approach for victimization Tableau as a business insight tool to represent and analyses aid data intelligently. Strategies: beginning with making the Tableau Work Space Individual ability 10.3, this analysis illustrates the foremost prevailing model-based technique of comprehending and visualizing Coronavirus data. © 2022 IEEE.

Problematic mobile phone use and cyberbullying perpetration in adolescents

The phenomenon of problematic mobile phone use has become increasingly common among adolescents during the lockdowns mandated by the COVID-19 pandemic. However, research is still scarce on the impact of such use on delinquent cyberspace conduct (i.e. cyberbullying). This study applies the theoretical framework of general strain theory to examine how problematic mobile phone use affects the perpetration of cyberbullying. The results of this empirical examination of longitudinal survey data obtained from 2,161 adolescents in South Korea reveal that problematic mobile phone use is positively associated with engagement in cyberbullying. It is a type of strain that induces negative emotional states and results in the perpetration of cyberbullying. Furthermore, this study investigates the moderating roles of both traditional bullying experiences (i.e. traditional bullying and victimisation) in the association between problematic mobile phone use and the perpetration of cyberbullying. We found traditional bullying perpetration positively moderates the effects of problematic mobile phone use on cyberbullying. On the other hand, we found the moderating effect of traditional bullying victimisation of adolescents was insignificant.

Adverse outcomes associated with recorded victimization in mental health electronic records during the first UK COVID-19 lockdown.

PURPOSE: The impact of COVID-19 pandemic policies on vulnerable groups such as people with mental health problems who experience violence remains unknown. This study aimed to investigate the prevalence of victimization recorded in mental healthcare records during the first UK lockdown, and associations with subsequent adverse outcomes. METHODS: Using a large mental healthcare database, we identified all adult patients receiving services between 16.12.2019 and 15.06.2020 and extracted records of victimisation between 16.03.2020 and 15.06.2020 (first UK COVID-19 lockdown). We investigated adverse outcomes including acute care, emergency department referrals and all-cause mortality in the year following the lockdown (16.06.2020- 01.11.2021). Multivariable Cox regressions models were constructed, adjusting for socio-demographic, socioeconomic, clinical, and service use factors. RESULTS: Of 21,037 adults receiving mental healthcare over the observation period, 3,610 (17.2%) had victimisation mentioned between 16.03.2020 and 15.06.2020 (first UK COVID-19 lockdown). Service users with mentions of victimisation in their records had an elevated risk for all outcomes: acute care (adjusted HR: 2.1; 95%CI 1.9-2.3, p < 0.001), emergency department referrals (aHR: 2.0; 95%CI 1.8-2.2; p < 0.001), and all-cause mortality (aHR: 1.5; 95%CI 1.1-1.9; p = 0.003), when compared to service users with no recorded victimisation. We did not observe a statistically significant interaction with gender; however, after adjusting for possible confounders, men had slightly higher hazard ratios for all-cause mortality and emergency department referrals than women. CONCLUSION: Patients with documented victimisation during the first UK lockdown were at increased risk for acute care, emergency department referrals and all-cause mortality. Further research is needed into mediating mechanisms.

Viral Pneumonia and Covid Screening on Lung Ultrasound

The rise of Covid-19 pandemic has exaggerated the necessity for safe, quick and sensitive diagnostic tools to confirm the protection of tending employees and patients. Although ML has shown success in medical imaging, existing studies concentrate on Covid-19 medicine victimization using Deep Learning (DL) with X-ray and computed axial Tomography (CT) scans. During this study we tend to aim to implement CNN model on Lung Ultrasound (LUS), to assist doctors with the designation of Covid-19 patients. We selected LUS since it's quicker, cheaper and additional out there in rural areas compared to CT and X- ray. We have used the biggest public dataset containing LUS pictures and videos of Covid, Pneumonia and healthy patients that has been collected from totally different resources. We tried out frame level approach that extracted 5 frames per patient video. We'll use this dataset to experiment with a CNN model that has hyper parameter calibration. We conjointly enclosed explainable AI using Grad-CAM that uses gradients of a selected target that flows through the convolutional network to localize and highlight regions of the target within the image. Moreover, we'll experiment with completely different data preprocessing techniques that may aid with pattern recognition and increasing the DL model's accuracy like histogram equalization, standardization, Principle Component Analysis (PCA) and Synthetic Minority Oversampling Technique (SMOTE). Lastly, we tend to create a straightforward application that diagnoses LUS videos with our CNN model, and shows the frame results with visual illustration of why the model has taken certain prediction with the help of Gradient-Weighted category Activation Mapping (Grad-CAM). © 2022 IEEE.

Recruitment Fraud: Increased opportunities for exploitation in times of uncertainty?

Recruitment fraud uses the guise of a genuine job opportunity to lure potential victims into paying 'fees' directly or sending sensitive personal information (driver's licence, bank account details, passports, etc.). Those who comply can expose themselves to a range of consequences, including fraud, identity theft and money laundering. Victims of fraud more generally face challenges in accessing justice through the fraud justice network of police, consumer protection organisations and banks. However, those targeted by employment schemes are often less visible and might be more marginalised than those who experience other fraud victimisation. In 2020, the emergence of COVID-19 plunged the world into an extraordinary level of uncertainty. Millions found themselves unemployed or underemployed due to the lockdowns and physical distancing restrictions introduced to control the virus, creating a bountiful environment for offenders to effectively target potential victims of recruitment fraud and increasing the vulnerability of a larger proportion of society to such schemes. This article details the contours of recruitment fraud. The paper advocates a research agenda promoting a better understanding of fraud victimisation in this context. Ways to effectively disrupt or prevent fraud are outlined to reduce levels of victimisation and harm into the future.

Problematic mobile phone use and cyberbullying perpetration in adolescents

The phenomenon of problematic mobile phone use has become increasingly common among adolescents during the lockdowns mandated by the COVID-19 pandemic. However, research is still scarce on the impact of such use on delinquent cyberspace conduct (i.e. cyberbullying). This study applies the theoretical framework of general strain theory to examine how problematic mobile phone use affects the perpetration of cyberbullying. The results of this empirical examination of longitudinal survey data obtained from 2,161 adolescents in South Korea reveal that problematic mobile phone use is positively associated with engagement in cyberbullying. It is a type of strain that induces negative emotional states and results in the perpetration of cyberbullying. Furthermore, this study investigates the moderating roles of both traditional bullying experiences (i.e. traditional bullying and victimisation) in the association between problematic mobile phone use and the perpetration of cyberbullying. We found traditional bullying perpetration positively moderates the effects of problematic mobile phone use on cyberbullying. On the other hand, we found the moderating effect of traditional bullying victimisation of adolescents was insignificant. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

Effects of COVID-19 in Mexico City: Street Robbery and Vehicle Theft Spatio-Temporal Patterns

As a result of the changes in social behavior due to lockdown measures aimed to avoiding COVID-19 infection, changes in crime patterns have been observed in several cities around the world. This study has two objectives: (1) Analyze the spatio-temporal patterns of the incidence of street robbery and vehicle theft in Mexico City, before and after the social distancing measures begun. Throughout this period, it has been shown a decrease in high-impact robberies in Mexico City. However, changes in spatial patterns have not been studied yet. (2) Propose an algorithm for the visualization of spatio-temporal relationships of crimes to identify near repeat patterns. These two objectives are considered relevant to identify areas of repeat victimization, especially before an imminent return to routine activities in the city, such as the return to school, the reopening of restaurants, movie theaters, shopping malls and other businesses;and thus be able to contribute to identify and prevent these crimes. One of the main results is that despite crime volumes decreased, some specific crime locations remained after the lockdown. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Characterization of Domestic Violence through Self-disclosure in Social Media: A Case Study of the Time of COVID-19

Domestic violence (DV) can lead to physical, psychological, and/or emotional consequences for its victims. Social media provides a new platform for DV victims to share their personal experiences and seek needed support. The anonymity of social media can potentially provide comfort and safety for victims to disclose their victimization experience. Despite a few efforts in detecting DV from social media, they have focused on differentiating DV-from non-DV-related content, or classifying DV-related content into a few general categories. By conducting an in-depth analysis of the content of DV self-disclosure in social media, this study characterizes DV in multiple aspects for the first time, including victim, perpetrator, relationship, and abuse. Moreover, it identifies the attributes to describe each aspect in detail. Furthermore, we use the social media data generated during the COVID-19 pandemic as a case study to understand the patterns of DV. The research findings of this study have implications for increasing the awareness of DV and designing support for DV victims. © 2021 IEEE.

Social and Jurisprudential Exploration of Victimisation of Health Care Workers during COVID-19 Pandemic

hen human beings are targeted as a class with adverse consequences, whether personally or professionally, it amounts to the victimisation of that class. During the ongoing pandemic, every individual, every class, or even every state has suffered so much. One class that has tried to save us from the pandemic and yet have been the targets of violent attacks, stigmatisation, trauma, and even social exclusion, is that of health care workers. The paper examines the extent of their victimisation and the law or policies enacted to rescue them. The major conclusions are that the scarcity of the facilities and the uncertainties of the disease created anxiety amongst people, and they targeted nurses and also doctors and many of the attacks went violent. Not only were the health care workers victimised by the public, but they also had to suffer at the hands of the administration.

Scope, Forms, Characteristics and New Patterns of Victimisation in Serbia During COVID-19 Pandemic

This paper aims to analyse the scope, forms, characteristics and new patterns of victimisation in Serbia during the COVID-19 pandemic, as well as factors that influenced it. In this paper, the notions of victim and victimisation are used in their largest sense, so that the paper deals with a large scope of victimising events and victims - from (direct and indirect) victimisation by virus COVID-19 and the inadequate reaction of the state, to the criminal victimisation and violation/restrictions of human rights. The particularly difficult situation of, in a socio-economic sense, especially vulnerable groups, such as migrants and asylum seekers, street children, Roma, homeless, older people, single parents, persons located in closed institutions (prisons and social welfare institutions), and victims of violence (in family and during civil protests against state's response to the pandemic) is stressed. After the introduction, the overview of the development of pandemic in Serbia during 2020 and the measures taken for its suppression is given. After that, the scope, forms and trends of victimisation are analysed based on police statistics and other available data. Finally, characteristics and new patterns of victimisation that appeared in the conditions of the pandemic are analysed. In the conclusion, the main factors of victimisation during the pandemic are outlined. Special emphasis is put on the lack of adequate databases relevant for appropriate response both to COVID-19 and crime, as well as on shortcomings of state response to the pandemic. The paper ends with recommendations for state actions relevant for victims in conditions of pandemic and similar crisis situations.

Males as victims of intimate partner violence - results from a clinical-forensic medical examination centre.

Only few studies have reported on males as victims of intimate partner violence (IPV) so far. The aim of the present study is to analyse frequency and case characteristics of physical violence against male IPV victims examined in a clinical-forensic medical examination centre for victims of violence in Germany over an 11-year period, contributing to a better understanding of IPV in men. Male victims represented 6.2% of IPV cases (n = 167) with a median age of 40 years. Cases were reported to the police in 78.4% before medicolegal examination. In 60.5% of the cases, the perpetrator was the current partner, and 82% occurred in a domestic environment with a predominance of female offenders. In more than half of the cases (57.5%), the victims consulted the examination centre without prior healthcare utilisation. About one-third of the victims reported previous IPV (31.7%). The findings point to the relevance of men as victims of IPV, case group-specific risk factors, injury-dependent behaviour related to healthcare utilisation, the need to establish or strengthen specialised support services for affected men and underscore the importance of clinical-forensic services in documenting and assessing violence-related injuries.

We Are All Victims: Questionable Content and Collective Victimisation in the Digital Age.

Traditionally, the idea of being a victim is associated with a crime, accident, trickery or being duped. With the advent of globalisation and rapid growth in the information technology sector, the world has opened itself to numerous vulnerabilities. These vulnerabilities range from individual-centric privacy issues to collective interests in the form of a nation's political and economic interests. While we have victims who can identify themselves as victims, there are also victims who can barely identify themselves as victims, and there are those who do not realise that they have become victims. Misinformation, disinformation, fake news and other methods of spreading questionable content can be regarded as a new and increasingly widespread type of collective victimisation. This paper, drawing on recent examples from India, examines and analyses the rationale and modus operandi-both methods and types-that lead us to regard questionable content as a new form of collective victimisation.