Netcitizenship: addressing cyberevenge and sexbullying

This article discusses the phenomena of Cyberevenge, sexbullying, and sextortion, especially among young people. The discussion, based on extensive review of books, research reports, newspapers, journal articles and pertinent websites, analyzes these challenges. The article suggests some remedies to counter these online social ills which pertain to promoting responsibility of netcitizens, schools, governments, Non-Governmental Organizations (NGOs) and social networking sites

The Advocate

Headlines include: Why I Hated (I Mean Loved) Early Interview Weekhttps://ir.lawnet.fordham.edu/student_the_advocate/1004/thumbnail.jp

Rural Tourism as an Element of Sustainable Diversification of Economic Opportunities of the Region

The collective monograph «Determinants of Innovation and Investment Development of Multisectoral Entrepreneurship, Tourism and Hospitality Industry» is devoted to the 20th anniversary of the Educational and Scientific Institute of Economics and Law of Cherkasy Bohdan Khmelnytsky National University and is a continuation of the research tradition on the development of entrepreneurship, innovation, finance, competition, accounting and auditing problems, tourism, hotel and restaurant business. The results of the scientific research presented in the collective monograph show the achievements of the representatives of various scientific schools, allow analyzing the experience gained and, considering current economic and political realities, contribute to the scientific substantiation of the prospects for the development of entrepreneurship, tourism industry, hotel and restaurant economy, enrich the intellectual potential of higher schools. The topics of sections and subsections identify the problem issues of innovation, investment and information technology in entrepreneurship, consider the competitive environment in the field of entrepreneurship, investigate the financial-economic and social problems, various directions of tourism industry development, declared by the World Economic Forum jointly with the World Tourism Organization (UN WTO). Particular attention is paid to the development of new trends in the hotel and restaurant business. A common task for scientists, educators, and employers in the conditions of international environmental instability is the formation and dissemination of new knowledge to achieve ambitious goals concerning the entrepreneurship development of tourism, hotel and restaurant business. The proposed discussion of current issues, experience and recommendation exchange will contribute to problem solving, research intensifying in the specified areas of activity. An important component of the modern economics is entrepreneurship; and the intensification of entrepreneurial activity should ensure overcoming of economic crises and their social and economic consequences, and determine the dynamic progress of a society and future welfare of people. It is entrepreneurship that is considered in many economically developed countries as a defining condition for a social and economic prosperity. Entrepreneurial activity involves all branches of economy including industrial, humanitarian and service areas. Therefore, it is necessary to study the key factors for the development of entrepreneurial activity in Ukraine. The current problems of entrepreneurship, tourism, hotel and restaurant business are extensively investigated by both domestic and foreign scholars. A number of researches focuses on these problems. Without diminishing the importance of their contribution to science, the need for further research and improvement should be noted. Therefore, in the monograph, special attention is paid to the state support of business structures, the regulation mechanisms of entrepreneurship, tourism, hotel and restaurant business, social sphere and interaction of market and state institutions, etc. The research was carried out using the developed scientifically substantiated methodological approaches based on the scientific developments of leading foreign and domestic scientists, which allowed proposing the specific directions of entrepreneurship development in the fields of economy, tourism, hotel and restaurant business. The unique nature of the monograph is not only its scientific significance, but also its practical application; since the substantiated positions, measures, proposals for the further transformation of economic processes in Ukraine and in the world have practical value

Paid content strategies for news websites: An empirical study of British newspapers' online business models

This study uses qualitative research interviews and a survey to quantify and analyse business models at online newspapers in the UK. Senior editors and executives reported that news websites rely on advertising income to a greater extent than their print counterparts. Despite this, British news sites continue to charge users for some content, although to a varying degree. The fact that online editions still contribute barely a tenth of total revenues explains this experimental approach towards business strategy. Although paid-for content has mostly failed as a mechanism for the online news business in the past, changes in technology and net culture may mean that it is becoming an option again. The authors examine what content is being charged for and why, and investigate: how the 12 newspapers studied are balancing the need to develop additional revenue streams with the demand for traffic in a buoyant advertising market; the extent to which cannibalisation of the print parent is still a concern; the complementary benefits of developing digital products; strategies towards archived content; the value of columnist content to online users; the success of digital editions and email alerts; the potential of mobile services; and the rapidly developing number of online services and commercial partnerships hosted by newspapers on the Web

Spartan Daily October 25, 2012

Volume 139, Issue 31https://scholarworks.sjsu.edu/spartandaily/1347/thumbnail.jp

Spartan Daily, March 10, 1999

Volume 112, Issue 30https://scholarworks.sjsu.edu/spartandaily/9387/thumbnail.jp

An unsupervised behavioral modeling and alerting system based on passive sensing for elderly care

Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through an environmental sensor package, including binary motion, contact, pressure, and proximity sensors, installed at households of elderly people. Its aim is to keep the caregivers informed of subjects’ health-status progressive trajectory, and alert them of health-related anomalies to enable objective on-demand healthcare service delivery at scale. The system was deployed in 19 households inhabited by an elderly person with post-stroke condition in the Emilia–Romagna region in Italy, with maximal and median observation durations of 98 and 55 weeks. Among these households, 17 were multi-occupancy residences, while the other 2 housed elderly patients living alone. Subjects’ daily behavioral diaries were extracted and registered from raw sensor signals, using rule-based data pre-processing and unsupervised algorithms. Personal behavioral habits were identified and compared to typical patterns reported in behavioral science, as a quality-of-life indicator. We consider the activity patterns extracted across all users as a dictionary, and represent each patient’s behavior as a ‘Bag of Words’, based on which patients can be categorized into sub-groups for precision cohort treatment. Longitudinal trends of the behavioral progressive trajectory and sudden abnormalities of a patient were detected and reported to care providers. Due to the sparse sensor setting and the multi-occupancy living condition, the sleep profile was used as the main indicator in our system. Experimental results demonstrate the ability to report on subjects’ daily activity pattern in terms of sleep, outing, visiting, and health-status trajectories, as well as predicting/detecting 75% hospitalization sessions up to 11 days in advance. 65% of the alerts were confirmed to be semantically meaningful by the users. Furthermore, reduced social interaction (outing and visiting), and lower sleep quality could be observed during the COVID-19 lockdown period across the cohort