Social and Behavioral Sciences Commons^™

Progression Magazine, 2021 Summer, Coastal Carolina University

Progression Magazine

Magazine of the College of Science at Coastal Carolina University.

How Social Media And Embedded Recommender Algorithm Fostered Political Issues, Yan Shi

School of Professional Studies

Social media plays a significant role in social communication and interaction, connecting people from different continents and facilitating information flaws worldwide. Meanwhile, along with the evolution of embedded recommender algorithms that clustering people with similar demographic features, social media has become the most important means of communication for modern society. However, the prosper of interconnecting platforms also have potential flows alongside. One of the major issues is the unexpected political consequence. This paper delivers the first comprehensive analysis of the political impacts posed by social media and embedded recommending algorithms. The article identifies three major political concerns through literature review, …

Promoting And Teaching Responsible Leadership In Software Engineering, Devender Goyal, Luiz Fernando Capretz

Electrical and Computer Engineering Publications

As software and computer technology is becoming more prominent and pervasive in all spheres of life, many researchers and industry folks are realizing the importance of teaching soft skills and values to CS and SE students. Many researchers and leaders, from both academic and non-academic world, are also calling for software researchers and practitioners to seriously consider human values, like respect, integrity, compassion, justice, and honesty when building software, both for greater social good and also for financial considerations. In this paper, we propose and wish to promote teaching soft skills, values, and responsibilities to students, which we term as …

Is It Fair That Advanced Workers Get Paid Disproportionally More: Economic Analysis, Olga Kosheleva, Sean R. Aguilar

Departmental Technical Reports (CS)

On the one hand, everyone agrees that economics should be fair, that workers should get equal pay for equal work. Any instance of unfairness causes a strong disagreement. On the other hand, in many companies, advanced workers -- who produce more than others -- get paid dispropotionally more for their work, and this does not seem to cause any negative feelings. In this paper, we analyze this situation from the economic viewpoint. We show that from this viewpoint, additional payments for advanced workers indeed make economic sense, benefit everyone, and thus -- in contrast to the naive literal interpretation of …

Current Stormwater Practices And Future Implementation At Portland State University With The Uncertainty Of Climate Change, Evan Suemori, Alexandra Vargas Quiñones

Environmental Science and Management Professional Master's Project Reports

Stormwater runoff is one of the most critical environmental issues in urban areas and is only expected to worsen as climate change persists (EPA, 2016). When precipitation events occur, stormwater travels across impervious surfaces collecting soils and pollutants which can negatively impact water quality in receiving waters. Additionally, stormwater has human health impacts, specifically through flooding and the contamination of drinking water. According to the Intergovernmental Panel on Climate Change (IPCC), it has been determined that climate change will increase the frequency, intensity, and/or number of precipitation events in some regions, including the Pacific Northwest, and decrease in others (IPCC, …

Understory Species Increase Project: Investigating The Revegetation Of Native Herbaceous Species From Seed In Urban Forest Fragments, Erin Mcelroy

Environmental Science and Management Professional Master's Project Reports

Management of urban forest fragments often aims to reduce invasive species and promote native species abundance and diversity. Often, these environments lack natural establishment of native forest species, including herbaceous species that are especially sensitive to site conditions. While herbaceous understory species may represent a small proportion of forest biomass, they perform important functions within forest environments, including nutrient cycling, erosion and runoff control, and providing habitat for wildlife, as well as hosting the greatest biodiversity among other forest strata. However, many restoration projects focus primarily on the revegetation of dominant woody forest species, such as hardwood trees and shrubs. …

Influence Of Climate Change On Forest Fire Occurrence And Distribution Of Sri Lanka And Modeling Of Forest Fire, Mohan Heenatigala

Environmental Science and Management Professional Master's Project Reports

Forest fire is one of the main causes for forest degradation and deforestation which affect ecosystem services provided by the given landscapes. Weather variables like temperature, wind speed and direction, rainfall, and relative humidity also govern the forest fire regime and vulnerability. On the other hand, forest fuel characteristics, human impacts, population density, forest canopy density, slope, elevation, road density, closeness to the human settlement areas are other factors that determine the forest fire impact and potential of damage. Annually, 100 to 2500 hectares of forest resources are damaged due to forest fires in Sri Lanka. From the past few …

College Of Natural Sciences Newsletter, June 2021, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 2, Issue 6.

Page 1 Dean's Message
Page 2-6 Remembering the Life of Dr. Pengra and Celebrating His legacy for Entire Generations to Come.

Topology Identification In Distribution System Via Machine Learning Algorithms, Peyman Razmi, Mahdi Ghaemi Asl, Giorgio Canarella, Afsaneh Sadat Emami

Molasky Family Department of Economics and Real Estate Faculty Research

This paper contributes to the literature on topology identification (TI) in distribution networks and, in particular, on change detection in switching devices' status. The lack of measurements in distribution networks compared to transmission networks is a notable challenge. In this paper, we propose an approach to topology identification (TI) of distribution systems based on supervised machine learning (SML) algorithms. This methodology is capable of analyzing the feeder's voltage profile without requiring the utilization of sensors or any other extraneous measurement device. We show that machine learning algorithms can track the voltage profile's behavior in each feeder, detect the status of …

Construct Validity And Invariance Assessment Of The Social Impacts Of Occupational Heat Stress Scale (Siohss) Among Ghanaian Mining Workers, Victor F. Nunfam, Ebenezer Afrifa-Yamoah, Kwadwo Adusei-Asante, Eddie J. Van Etten, Kwasi Frimpong, Isaac Adjei-Mensah, Jacques Oosthuizen

Research outputs 2014 to 2021

Heat exposure studies over the last decade have shown little attention in assessing and reporting the psychometric properties of the various scales used to measure impacts of occupational heat stress on workers. A descriptive cross-sectional survey including 320 small- and large-scale mining workers was employed to assess the construct validity of the social impacts of occupational heat stress scale (SIOHSS) in the Western Region of Ghana in 2017. A confirmatory factor analysis (CFA) and invariance analysis were carried out using AMOS version 25 and statistical product and service solutions (SPSS) version 26 to examine the model fit and establish consistency …

Per-Pixel Cloud Cover Classification Of Multispectral Landsat-8 Data, Salome E. Carrasco, Torrey J. Wagner, Brent T. Langhals

Faculty Publications

Random forest and neural network algorithms are applied to identify cloud cover using 10 of the wavelength bands available in Landsat 8 imagery. The methods classify each pixel into 4 different classes: clear, cloud shadow, light cloud, or cloud. The first method is based on a fully connected neural network with ten input neurons, two hidden layers of 8 and 10 neurons respectively, and a single-neuron output for each class. This type of model is considered with and without L2 regularization applied to the kernel weighting. The final model type is a random forest classifier created from an ensemble of …

My Interdisciplinary Perspective On Climate Change [Natural Sciences], Richa Gupta, Tuli Chatterji, Tao Chen, Rebecca Schwartz

Open Educational Resources

This assignment titled “My Interdisciplinary Perspective on Climate Change” was developed in Fall 2020 as the signature assignment of the STEM Learning Community LC50 for students enrolled in the Biology program of the Natural Sciences department, at LaGuardia Community College, CUNY. The assignment targets Integrative Learning and Global Learning Core Competencies, and Digital/Oral Communication Abilities.

For this STEM Cluster, “Climate Change” is the shared theme that connects learning from the different disciplines and helps build students’ overall knowledge on an imperative issue that our planet currently faces. Work on this assignment entails a narrated digital student presentation on the various …

On Predicting Personal Values Of Social Media Users Using Community-Specific Language Features And Personal Value Correlation, Amila Silva, Pei Chi Lo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Personal values have significant influence on individuals’ behaviors, preferences, and decision making. It is therefore not a surprise that personal values of a person could influence his or her social media content and activities. Instead of getting users to complete personal value questionnaire, researchers have looked into a non-intrusive and highly scalable approach to predict personal values using user-generated social media data. Nevertheless, geographical differences in word usage and profile information are issues to be addressed when designing such prediction models. In this work, we focus on analyzing Singapore users’ personal values, and developing effective models to predict their personal …

First Train Timetabling And Bus Service Bridging In Intermodal Bus-And-Train Transit Networks, Liujiang Kang, Hao Li, Huijun Sun, Jianjun Wu, Zhiguang Cao, Nsabimana Buhigiro

Research Collection School Of Computing and Information Systems

Subway system is the main mode of transportation for city dwellers and is a quite signif-icant backbone to a city's operations. One of the challenges of subway network operation is the scheduling of the first trains each morning and its impact on transfers. To deal with this challenge, some cities (e.g. Beijing) use bus 'bridging' services, temporarily substitut -ing segments of the subway network. The present paper optimally identifies when to start each train and bus bridging service in an intermodal transit network. Starting from a mixed integer nonlinear programming model for the first train timetabling problem, we linearize and …

A Quantitative Argument For Autonomous Aerial Defense Overembedded Missile Systems To Thwart Cruise Threats, Andrew R. Davis

Theses and Dissertations

Given the high cost of missile defense systems, their ability to be overwhelmed, and rising tensions between the U.S. and adversaries in the Indo-Pacific region, a new modeled is proposed to investigate a new approach to missile defense. The Autonomous Aerial Defense Against Missiles (AADAM) system leverages reusable, small-scale UAVs to propose a cheaper, more effective system in defending against cruise missile threats. The aim of this system is to provide and additional layer in current missile defense strategies at lower-cost. This modeled system is found to outperform a modeled Patriot system in close-range interception of designated assets, with no …

Detecting Receptivity For Mhealth Interventions In The Natural Environment, Varun Mishra, Florian Künzler, Jan-Niklas Kramer, Elgar Fleisch, Tobias Kowatsch, David Kotz

Dartmouth Scholarship

Just-In-Time Adaptive Intervention (JITAI) is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is properly timing the delivery of interventions, to ensure that a user is receptive and ready to process and use the support provided. Some prior works have explored the association of context and some user-specific traits on receptivity, and have built post-study machine-learning models to detect receptivity. For effective intervention delivery, however, a JITAI system needs to make in-the-moment decisions about a user's receptivity. To this end, …

The Impact Of Climate Change On Virginia's Coastal Areas, Jonathan L. Goodall, Antonio Elias, Elizabeth Andrews, Christopher "Kit" Chope, John Cosgrove, Jason El Koubi, Jennifer Irish, Lewis L. Lawrence Iii, Robert W. Lazaro Jr., William H. Leighty, Mark W. Luckenbach, Elise Miller-Hooks, Ann C. Phillips, Henry Pollard V, Emily Steinhilber, Charles Feigenoff, Jennifer Sayegh

Faculty Publications

As part of HJ47/SJ47 (2020), the Virginia General Assembly directed the Joint Commission on Technology and Science (JCOTS) to study the “safety, quality of life, and economic consequences of weather and climate-related events on coastal areas in Virginia.” In pursuit of this goal, the commission was to “accept any scientific and technical assistance provided by the nonpartisan, volunteer Virginia Academy of Science, Engineering, and Medicine (VASEM). VASEM convened an expert study board with representation from the Office of the Governor, planning district commissions in coastal Virginia, The Port of Virginia, the Virginia Economic Development Partnership, state universities, private industry, and …

Why Do Robots Have Smiley Faces?, Mark Findlay

Research Collection Yong Pung How School Of Law

The author discussed why engineers and designers provide machines with the semblance of friendliness, and why it takes more than that for humans to trust AI. The ground-breaking AI in community research and policy initiative by CAIDG, supported by the National Research Foundation Singapore under its Emerging Areas Research Projects Funding Initiative, seeks to understand how and why trust can be established when humans and machines come together.

Impact Of Personality Types And Matching Messaging On Password Strength, Anna Bakas, Anne Wagner, Spencer Johnston, Shelia Kennison, Eric Chan-Tin

Computer Science: Faculty Publications and Other Works

People often create passwords for their accounts that are insecure. An insecure password is often easy to guess– thus, hackers can easily access their victims’ accounts. It is important for users to know how to create and manage secure passwords so they can better protect themselves from hackers. It is well-known that different users have different personality types, such as Big Five and True Colors. This research examines if there is any link between personality types and password security behavior. Each participant was shown either a matching or mismatching message based on their personality type, and it was measured whether …

How-To Present News On Social Media: A Causal Analysis Of Editing News Headlines For Boosting User Engagement, Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla

Research Collection School Of Computing and Information Systems

To reach a broader audience and optimize traffic toward news articles, media outlets commonly run social media accounts and share their content with a short text summary. Despite its importance of writing a compelling message in sharing articles, the research community does not own a sufficient understanding of what kinds of editing strategies effectively promote audience engagement. In this study, we aim to fill the gap by analyzing media outlets' current practices using a data-driven approach. We first build a parallel corpus of original news articles and their corresponding tweets that eight media outlets shared. Then, we explore how those …

Research On Climate Change In Social Psychology Publications: A Systematic Review, Kim-Pong Kam, Angela K. Y. Leung, Susan Clayton

Research Collection School of Social Sciences

There is a strong scientific consensus that anthropogenic climate change is happening and that its impacts can put both ecological and human systems in jeopardy. Social psychology, the scientific study of human behaviours in their social and cultural settings, is an important tool for understanding how humans interpret and respond to climate change. In this article, we offered a systematic review of the social psychological literature of climate change. We sampled 130 studies on climate change or global warming from 80 articles published in journals indexed under the “Psychology, social” category of Journal Citation Reports. Based on this sample, …

Social Psychology Of Climate Change In The Asian Context: Introduction To Special Issue, Kim-Pong Tam, Angela K. Y. Leung, Susan Clayton

Research Collection School of Social Sciences

Climate change is one of the biggest challenges facing many countries in the Asia Pacific. Asia as a whole is a primary contributor to carbon emissions. According to the BP Statistical Review of World Energy 2020, the Asia Pacific region alone accounts for more than half of the world’s total greenhouse gas emissions. This represents an increase in consumption of oil, gas, and coal in Asia Pacific from 44.5% in 2009 to 50.5% in 2019. According to the review, compared to the rest of the world, Asia Pacific had the highest growth rate (2.7%) of carbon emissions between 2008 and …

The Effect Of Smoking On Carbon Monoxide Respiration Among Active Smokers In Palembang City, Indonesia, Rico Januar Sitorus, Imelda Gernauli Purba, Merry Natalia, Kraichat Tantrakarnapa

Kesmas

Smoking leads to disease and disability as well as harm nearly every organ of the body. Furthermore, smoking of tobacco is known to cause pulmonary dysfunction and lead to complications, pain, or even death. This study aimed to measure the risk factors for the respiration of carbon monoxide among smokers. A cross-sectional design was implemented by involving 156 smokers in Karyajaya Subdistrict, Palembang City. The dependent variable was carbon monoxide levels (ppm), while the independent variables were smoking frequency, duration, and the last period of smoking. The carbon monoxide levels (ppm) measured with a PiCO + Smokerlyzer® device from Bedfont …

The Significance Of Super Depo Sutorejo: Waste Management Project In Surabaya Municipality, Indonesia, Yohanes Kambaru Windi, Dyah Wijayanti, Eko Rustamaji Wiyatno, Loetfia Dwi Rahariyani

Kesmas

The Super Depo Sutorejo Surabaya (SDSS) Project was created to separate household waste into fractions, but its separation effect is unknown. This study assessed the significance of the project in sorting general waste into biodegradable, non-biodegradable, and assorted. The t-test compared the means of general and biodegradable waste (normally distributed). The non-biodegradable and assorted waste were not significantly distributed; therefore, the Wilcoxon Signed Ranks Test was used to compare their medians against general waste. The multivariate analysis compared the significance level of each waste fraction. Each statistical analysis showed that the SDSS significantly sorts the general waste. The p-values were …

The Essence Of Telemedicine For Bridging The Gap In Health Services, Budi Wiweko, Sarah Chairani Zakirah, Atha Luthfi

Kesmas

This study aimed to review the essence of telemedicine in this modern era of technology and innovation, especially in developing countries. It also investigated the regulation aspect as the main component for healthcare services. There were five main categories of telemedicine: revenue stream and technology literacy, health facilities, human resources, data authorization and security, and health protocol. Furthermore, when combined with wearable devices, it enhanced healthcare delivery opportunities. There were two major components of global electronic health, namely telehealth and health informatics, based one-commerce and e-learning systems. The World Health Organization (WHO) has been able to describe the roles of …

The Determinants Of Stunting For Children Aged 24-59 Months In Kulon Progo District 2019, Chatrine Aprilia Hendraswari, Yuliasti Eka Purnamaningrum, Tri Maryani, Yani Widyastuti, Sakinah Harith

Kesmas

This study pertains to stunting in children in Indonesian with z-scores of less than -2 Standard Deviation (SD) and less than -3 SD. The preliminary study results showed the highest prevalence of stunting to be 22.6%, at the Temon II Primary Health Care in Kulon Progo District. The study aimed to assess the determinants of stunting children aged 24–59 months. This study was conducted from September 2018–May 2019. The design of this study was analytical observational with study design case-control. The sample was 60 children aged 24–59 months. The method utilized proportional sampling, whereas the data analysis applied chi-square and …

A Path Analysis Model For Explaining The Factors Influencing Wearing A Mask Among Commuting Workers Using Commuter Line Bogor-Jakarta, David Kusmawan, Shofi Andari, Ira Gustina, Indri Hapsari Susilowati, Mufti Wirawan

Kesmas

Jakarta is one of the most air-polluted cities in the world, which can increase the health risk of commuting workers exposed to pollutants. This study aimed to determine the factors that directly and indirectly affect healthy behavior (wearing a mask) for commuters using the Bogor-Jakarta Commuter Line. Furthermore, a total of 155 respondents participated and the data collected were analyzed using descriptive and path analysis. The commuters aware of the hazard potential related to air pollution during commuting were 137 people (88.4%). While 104 people (67.1%) were aware of the good perception of pollution and 125 uses masks during commuting …

Empowering Health Cadres To Support Drug-Resistant Tuberculosis (Dr-Tb) Patient To Enroll In Treatment, Esty Febriani, Adik Wibowo, Neeraj Kak, Hala Jassim Al Mossawi

Kesmas

Tuberculosis (TB) remains a big challenge globally, while the involvement of health cadres’ constitutes one of the key strategies for the TB program in Indonesia. These roles were further expanded to providing support to DR-TB patients. This study was a qualitative study, conducted in 2015 to explore the various factors which influence the performance of health cadres’ in supporting DR-TB patients to enroll in treatment. A total of 39 informants consisting of 24 health cadres, three nurses, four DR-TB patients, and three family members, two peer support, a head of primary health care, and two TB staffs from the District …

National Health Insurance Scheme: Internal And External Barriers In The Use Of Reproductive Health Services Among Women, Evi Martha, Herna Lestari, Resvi Siti Zulfa, Yoslien Sopamena

Kesmas

Lack of familiarity among the community, medical workers, and administrative staff regarding reproductive health services covered by Badan Penyelenggara Jaminan Sosial (BPJS) or the National Health Insurance (NHI) in Indonesia remained a problem. Therefore, this resulted in sub-optimal use of the medical services, as shown by surveys from the Women's Health Foundation for three consecutive years (2015-2017). This qualitative study was conducted with a Rapid Assessment Procedure design in three cities within Indonesia: Padang Pariaman, Manado, and Kupang. Data were collected through IDIs (n = 47informants) and 6 FGDs (7 persons/group). Participants also consisted of NHI RHS users (mothers and …

Prevalence And Determinants Of Pre-Lacteal Feeding: Insights From The 2017 Indonesia Demographic And Health Survey, Siti Nurokhmah, Siti Masitoh, Kusuma Estu Werdani

Kesmas

Pre-lacteal feeding is widely known as a distraction to exclusive breastfeeding, and the malpractice continues to be prevalent in Indonesia. Therefore, this study aimed to explore the potential determinants of pre-lacteal feeding among mothers of infants below 24 months. A sample of 6,455 mother-infant pairs from the 2017 Indonesia Demographic and Health Survey (IDHS) was used. Also, multivariate logistic regression was employed to identify factors associated with pre-lacteal feeding practice. In Indonesia, 44% of infants were introduced to solid/liquid feeds in their first three days of life. Infant formula was the most common pre-lacteal feed given, followed by any other …