Copycat Mass Killings: How Personality Might Moderate Identification With Antisocial Characters, Emily R. Mazzurco

Kean Quest

Research indicates that certain personality traits are prevalent within mass killers. Aggression, social rejection, narcissism, fame-seeking, low self-esteem, and depression are commonalities with mass killers, specifically mass shooters. Identification or idolizing antisocial fictional characters is also a common behavior within these types of offenders. These types of killers often draw inspiration for their own crimes from past criminals or from film and TV, thus committing what is known as a copycat crime. The purpose of the current study will be to examine the effects of social rejection and instigation on the likelihood of identifying with an antisocial character in young …

The Danov Archive, Victor Fet, Alexander Kogan

Open Access Books

This memorial volume compiles materials about Rostislav Dаnov (1941—1993) of St. Petersburg (Russia), a naturalist, artist, and snake-hunter, who worked for many years in Turkmenistan (West Kopetgagh Mts). The book celebrates Dаnov’s 80th birthday. It includes previously unpublished artwork and scientific illustrations by Dаnov as well as his texts, research papers, various memoirs, biographic information, and unique photographs. The book is intended for everyone who is interested in history of science and conservation in Central Asia and the USSR.

Фет В, Коган А, составители. Дановcкий архив. Библиотека Университета Маршалла, Хантингтон, Западная Виргиния, 2021. 494 с. Этот том содержит материалы о …

Analysis And Strategy Of Ai Ethical Problems, Zhaoxiang Zhang, Jiyu Zhang, Tieniu Tan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is the core of the fourth industrial revolution, and it has brought challenges to ethics and social governance. On the basis of explaining the current ethical risks of artificial intelligence, the study furtherly analyzes the current consensus on ethics, governance principles, and governance approaches of artificial intelligence. Moreover, the study also proposes to take "co-construction, co-governance and sharing" as the guiding theory to gradually build a multi-dimensional ethical governance system, including education reform, ethical norms, technical supports, legal regulations, and international cooperation.

Constructing Ethical Order Of Digital World, Guoyu Wang, Hong Mei

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the digital transformation and the construction of digital China, a digital world parallel to the real world is being born. Historically, numbers have shaped our perception of the world and human beings. Digital transformation will further expand human cognitive space and means, release productivity, and change the way people think and behave. However, the virtuality and "outof domain" characteristics of people and things in the digital world have caused ethical problems in the digital world. Therefore, it is urgent to construct and improve the ethical order of the digital world. The article summarizes the existing three paths of scientific …

Critical Pedagogy In The Time Of Covid-19: Lessons Learned, Carol Christine Hordatt Gentles

Journal of Multicultural Affairs

The abrupt closure of universities due to the coronavirus pandemic caused unprecedented challenges for educators. They struggled to transition to online teaching almost overnight. This has raised questions about the readiness of Higher Education for digitalisation and hybridization of learning environments and focused attention on the renewal of teaching and learning models. It is incumbent upon those who practise critical pedagogy to join this conversation; the mandatory transition has raised difficult questions around how to ensure continuity of an agenda to offer students humanistic and democratic learning experiences in the new virtual reality. In this paper I offer a critical …

Book Review: The Death Project: An Anthology For These Times, Ted D. Ayres

Journal of Multicultural Affairs

A book review of The Death Project: An Anthology for These Times.

Ted Ayres, Social Justice And Education Advocate: "Making It Count" With Book Reviews, Kristen P. Erdem

Journal of Multicultural Affairs

This is an interview article with a prolific reviewer of books seen on public television and in print. Ted Ayres had an inspired legal career, and his advocacy continues to this day. The year 2020, like no other year in our recent U.S. history, was a raucous reckoning for an array of social justice issues. As this theme continues in 2021, it is heartwarming getting to know a quiet advocate in our midst. Meet Ted Ayres. Ayres will be a contributor to the journal with book reviews. This is an introduction to the person, Ted Ayres as social justice and …

How The Common School Has Failed Hispanic Children—Witnessing The Severe Regression Of Language English Proficient Learners During A Pandemic: Teaching During Covid-19, Yvonne S. Herrera

Journal of Multicultural Affairs

Personal reflection on the impacts of the common school on Hispanic children during the COVID-19 pandemic, when Hispanic children experienced less opportunities in becoming educated due to lack of accessible technology.

Covid And Curriculum: Elementary Teachers Report On The Challenges Of Teaching And Learning Mathematics Remotely, Kristin Giorgio-Doherty, Mona Baniahmadi, Jill Newton, Amy M. Olson, Kristen Ferguson, Kaitlyn Sammons, Marcy M. Wood, Corey Drake

Journal of Multicultural Affairs

This article reports on findings from a survey administered to 524 elementary teachers across 46 states that asked about their experiences with mathematics teaching, learning, and curriculum use before and during the COVID-19 pandemic. The purpose of this article is to report on the challenges teachers experienced with mathematics teaching, learning, and curriculum use during the pandemic and to explore educational inequities faced by students of families with lower income backgrounds. In particular, we discuss differences across high- and low-income schools regarding teachers’ perceived preparedness for online teaching, teachers’ use and decisions about mathematics curriculum, and their students’ remote resources …

Overview: From The Desk Of The Guest Editor, Tonya Huber

Journal of Multicultural Affairs

Overview from the Guest Editor on this special issue on the impacts of Covid-19 in educational settings. One theme explored in the contents of this issue is the powerlessness many educators felt as the editors set out to hear, comprehend, represent, and amplify their experiences. Other themes include: appreciation and empathy, focusing on what matters, and new ways of teaching with technology.

Spatial Distribution Of Pm2.5-Related Premature Mortality In China, Sheng Zheng, Uwe Schlink, Kin-Fai Ho, Ramesh P. Singh, Andrea Pozzer

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

PM_2.5 is a major component of air pollution in China and has a serious threat to public health. It is very important to quantify spatial characteristics of the health effects caused by outdoor PM_2.5 exposure. This study analyzed the spatial distribution of PM_2.5 concentration (45.9 μg/m³ national average in 2016) and premature mortality attributed to PM_2.5 in cities at the prefectural level and above in China in 2016. Using the Global Exposure Mortality Model (GEMM), the total premature mortality in China was estimated to be 1.55 million persons, and the per capita mortality was 11.2 …

The Spatial Effects Of Elderly Population Presence On Covid -19 Incidence In Dki Jakarta Before, During, And After Large-Scale Social Restriction, Chotib Chotib, I G A A Karishma Maharani Raijaya Mrs., Ahmad Aki Aki Muhaimin Mr., Novani Saputri

Smart City

ABSTRACT

Infected cases and suspect cases of covid-19 are increasing more and more daily. This increment happens either in whole regions of Indonesia and DKI Jakarta as a capital city. The purpose of this research is to seek the pattern in spatial of Covid-19 incidence with 3 different periods of before, during, and after large-scale social restriction, and to identify the influence of the presence of the elderly and other factors. One of the scopes of this study is the presence of the elderly because the elderly population is considered as influencing the increase of Covid-19 incidence. The analysis method …

From The Editors, Ahmad Gamal

Smart City

No abstract provided.

Crash Course: Student Team Uses Statistical Modeling And Bigelow Partnership To Map Moose-Car "Hot Zones", Gerry Boyle, Max Slomiak

Colby Magazine

The project began in 2004 when Alex Jospe ’06, a Nordic skier who traveled Maine roads to meets, decided to use skills learned in a GIS class taught by Associate Professor of Environmental Studies Philip Nyhus. Jospe used data supplied by state transportation officials to map moose-collision hot zones. On a trip to Vermont, the map came in handy. “She came back all excited and said, ‘I saw a moose right where my map said I would,’” Nyhus recalled.

Making Agriculture Carbon Neutral Amid A Changing Climate: The Case Of South-Western Australia, Ross Kingwell

Climate Science Research Articles

Making Australian agriculture carbon neutral by 2050 is a goal espoused by several agricultural organisations in Australia. How costly might it be to attain that goal, especially when adverse climate change projections apply to agriculture in southern Australia? This study uses scenario analysis to examine agricultural emissions and their abatement via reforestation in south-western Australia under projected climate change. Most scenarios include the likelihood of agricultural emissions being reduced in the coming decades. However, the impact of projected adverse climate change on tree growth and tree survival means that the cost of achieving agricultural carbon neutrality via reforestation is forecast …

Spatial-Temporal Modeling Of Agricultural Water Surface Features In Northeastern Arkansas., Daniel Dewayne Shults

Student Theses and Dissertations

The Mississippi River Valley Alluvial Aquifer (MRVA) has been the primary source of irrigation water in Northeastern Arkansas since the early 1900s. Over time the MRVA water level has declined due to over-pumping of farm wells and water restrictive geology. The aquifer is expected to continue declining but with water conservation strategies in place, this vital resource could be preserved for future farmers. This thesis investigated using remotely sensed data to assess landforms associated with agricultural water conservation across Northeastern Arkansas. The remotely sensed data proved to be useful at creating temporal assessments of pre-existing irrigation reservoirs, identifying new irrigation …

Provenance: An Intermediary-Free Solution For Digital Content Verification, Bilal Yousuf, M. Atif Qureshi, Brendan Spillane, Gary Munnelly, Oisin Carroll, Matthew Runswick, Kirsty Park, Eileen Culloty, Owen Conlan, Jane Suiter

Articles

The threat posed by misinformation and disinformation is one of the defining challenges of the 21st century. Provenance is designed to help combat this threat by warning users when the content they are looking at may be misinformation or disinformation. It is also designed to improve media literacy among its users and ultimately reduce susceptibility to the threat among vulnerable groups within society. The Provenance browser plugin checks the content that users see on the Internet and social media and provides warnings in their browser or social media feed. Unlike similar plugins, which require human experts to provide evaluations and …

Reducing Kidney Discard With Artificial Intelligence Decision Support: The Need For A Transdisciplinary Systems Approach, Richard Threlkeld, Lirim Ashiku, Casey I. Canfield, Daniel Burton Shank, Mark A. Schnitzler, Krista L. Lentine, David A. Axelrod, Anil Choudary Reddy Battineni, Henry Randall, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Purpose of Review: A transdisciplinary systems approach to the design of an artificial intelligence (AI) decision support system can more effectively address the limitations of AI systems. By incorporating stakeholder input early in the process, the final product is more likely to improve decision-making and effectively reduce kidney discard.

Recent Findings: Kidney discard is a complex problem that will require increased coordination between transplant stakeholders. An AI decision support system has significant potential, but there are challenges associated with overfitting, poor explainability, and inadequate trust. A transdisciplinary approach provides a holistic perspective that incorporates expertise from engineering, social science, and …

Understanding The Dynamics Of Human Reliance And Trust On Automation, Carlos E. Bustamante Orellana, Lucero Rodriguez Rodriguez, Jordy Cevallos Chavez, Yun Kang

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Connecting People To Food: A Network Approach To Alleviating Food Deserts, Anna Sisk

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling, Analysis, And Control Of Student Loan Debt Using Epidemiological Models, Kavya Ravishankar, Padmanabhan Seshiayer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Sentiment Analysis Of Radicalization On Social Media, Anna Singley

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Novel Approach To Integrate Can Based Vehicle Sensors With Gps Using Adaptive Filters To Improve Localization Precision In Connected Vehicles From A Systems Engineering Perspective, Abhijit Vasili

USF Tampa Graduate Theses and Dissertations

Research and development in Connected Vehicles (CV) Technologies has increased exponentially, with the allocation of 75 MHz radio spectrum in the 5.9 GHz band by the Federal Communication Commission (FCC) dedicated to Intelligent Transportation Systems (ITS) in 1999 and 30 MHz in the 5.9 GHz by the European Telecommunication Standards Institution (ETSI). Many applications have been tested and deployed in pilot programs across many cities all over the world.

CV pilot programs have played a vital role in evaluating the effectiveness and impact of the technology and understanding the effects of the applications over the safety of road users. The …

The Maritime Domain Awareness Center– A Human-Centered Design Approach, Gary Gomez

Political Science & Geography Faculty Publications

This paper contends that Maritime Domain Awareness Center (MDAC) design should be a holistic approach integrating established knowledge about human factors, decision making, cognitive tasks, complexity science, and human information interaction. The design effort should not be primarily a technology effort that focuses on computer screens, information feeds, display technologies, or user interfaces. The existence of a room with access to vast amounts of information and wall-to-wall video screens of ships, aircraft, weather data, and other regional information does not necessarily correlate to possessing situation awareness. Fundamental principles of human-centered information design should guide MDAC design and technology selection, and …

Fighting Mass Diffusion Of Fake News On Social Media, Abdallah Musmar

USF Tampa Graduate Theses and Dissertations

Fake news has been considered one of the most challenging problems in the last few years. The effects of spreading fake news over social media platforms are widely observed across the globe as the depth and velocity of fake news reach far more than real news (Vosoughi et al., 2018). The plan for the following dissertation is to investigate the mass spread of fake news across social media and propose a framework to fight the spread of fake news by mixing preventive methods that could hinder the overall percentage of fake news sharing. We plan to create a study on …

The Imperative For Climate Action At Portland State University, Stephen Percy

Office of the President Publications and Presentations

Portland State University President Stephen Percy announces the formation of the Climate Change Initiative.

Pre-Earthquake Ionospheric Perturbation Identification Using Cses Data Via Transfer Learning, Pan Xiong, Cheng Long, Huiyu Zhou, Roberto Battiston, Angelo De Santis, Dimitar Ouzounov, Xuemin Zhang, Xuhui Shen

Mathematics, Physics, and Computer Science Faculty Articles and Research

During the lithospheric buildup to an earthquake, complex physical changes occur within the earthquake hypocenter. Data pertaining to the changes in the ionosphere may be obtained by satellites, and the analysis of data anomalies can help identify earthquake precursors. In this paper, we present a deep-learning model, SeqNetQuake, that uses data from the first China Seismo-Electromagnetic Satellite (CSES) to identify ionospheric perturbations prior to earthquakes. SeqNetQuake achieves the best performance [F-measure (F1) = 0.6792 and Matthews correlation coefficient (MCC) = 0.427] when directly trained on the CSES dataset with a spatial window centered on the earthquake epicenter with the Dobrovolsky …

Predicting The Adoption Of Password Managers: A Tale Of Two Samples, Shelia Kennison, D. Eric Chan-Tin

Computer Science: Faculty Publications and Other Works

Using weak passwords and re-using passwords can make one vulnerable to cybersecurity breaches. Cybersecurity experts recommend the adoption of password managers (PMs), as they generate and store strong passwords for all accounts. Prior research has shown that few people adopt PMs. Our research examined PM adoption in a sample of 221 undergraduates from psychology courses and a sample of 278 MTurk workers. We hypothesized that PM adoption could be predicted using a small set of user characteristics (i.e., gender, age, Big Five personality traits, number of devices used, frequency of using social media, and cybersecurity knowledge). The results showed that …

Comparative Study Of New And Traditional Estimators Of A New Lifetime Model, Sandeep Kumar Maurya, Sanjay Kumar Singh, Umesh Singh

Journal of Modern Applied Statistical Methods

In this article, we have studied the behavior of estimators of parameter of a new lifetime model, suggested by Maurya et al. (2016), obtained by using methods of moments, maximum likelihood, maximum product spacing, least squares, weighted least squares, percentile, Cramer-von-Mises, Anderson-Darling and Right-tailed Anderson-Darling. Comparison of the estimators has been done on the basis of their mean square errors, biases, absolute and maximum absolute differences between empirical and estimated distribution function and a newly proposed criterion. We have also obtained the asymptomatic confidence interval and associated coverage probability for the parameter.

Risk Management And Biases In How Drivers Respond To Nuisance Flooding, Saige Hill, Juita-Elena (Wie) Yusuf, Burton St. John Iii, Pragati Rawat, Carol Considine

School of Public Service Faculty Publications

Nuisance flooding, or recurrent flooding, occurs during high tide and may be exacerbated when combined with other events such as heavy precipitation, strong winds, or storm surge. Sea level rise has contributed to increased frequency and duration of nuisance flooding in low-lying coastal areas and is causing community-specific impacts such as transportation disruption, road closures, compromises to life and property, overwhelmed storm water systems, and infrastructure damage. This chapter focuses on how drivers respond during nuisance flooding events. Specifically, we discuss how drivers in the Hampton Roads region of southeastern coastal Virginia obtain information about road flooding, how they respond, …