Social and Behavioral Sciences Commons^™

Facilitating Veteran And Adult Students' Learning And Retention In Engineering: Faculty-Student Partnership - A Model Of An Evidence-Based Practice, Kim E. Bullington, Anthony Dean, Cynthia Tomovic, Vukica M. Jovanović, Rafael E. Landaeta

Engineering Technology Faculty Publications

With the growing number of adult and military veterans entering higher education, it is important to understand and incorporate the basics of andragogy in curriculum, course development, and the learning environment to facilitate learning and degree completion. Researchers in this S-STEM project funded by the NSF share observations of a student-faculty partnership that resulted from the development of a formal learning community. A series of targeted seminars were conducted that appear to have increased adult and military veteran engineering and technology students’ levels of connectedness and self-efficacy. Results of this pilot study are shared as an evidence-based practice to enhance …

The Encyclopedia Of New York, Robert Tench

Libraries Faculty & Staff Publications

A review of the book "The Encyclopedia of New York" is presented.

Attacks On The American Press: A Documentary And Reference Guide, Robert Tench

Libraries Faculty & Staff Publications

No abstract provided.

Inequality In America: Causes And Consequences, Rob Tench

Libraries Faculty & Staff Publications

No abstract provided.

[Review Of The Book Hate Groups: A Reference Handbook, By D. E. Newton], Robert Tench

Libraries Faculty & Staff Publications

No abstract provided.

Pay For Performance, Satisfaction And Retention In Longitudinal Crowdsourced Research, Elena M. Auer, Tara S. Behrend, Andrew B. Collmus, Richard N. Landers, Ahleah F. Miles

Psychology Faculty Publications

In the social and cognitive sciences, crowdsourcing provides up to half of all research participants. Despite this popularity, researchers typically do not conceptualize participants accurately, as gig-economy worker-participants. Applying theories of employee motivation and the psychological contract between employees and employers, we hypothesized that pay and pay raises would drive worker-participant satisfaction, performance, and retention in a longitudinal study. In an experiment hiring 359 Amazon Mechanical Turk Workers, we found that initial pay, relative increase of pay over time, and overall pay did not have substantial influence on subsequent performance. However, pay significantly predicted participants' perceived choice, justice perceptions, and …

Toward A More Perma(Nent) Conceptualization Of Worker Well-Being? A Cross-Cultural Study Of The Workplace Perma Profiler, William P. Jimenez, Xiaoxiao Hu, Rebecca Garden, Xiaofei Xie

Psychology Faculty Publications

We examined the factor structure of the recently developed worker well-being measure the Workplace PERMA Profiler and relationships between PERMA dimensions (i.e., positive emotions, engagement, positive relationships, meaning, accomplishment) and job performance (viz., task performance, organizational citizenship behaviors benefiting individuals and the organization at large). The measure exhibited metric (i.e., weak) invariance across samples of participants from the U.S. (N = 284) and China (N = 420). Additionally, for participants who responded to both the Workplace PERMA Profiler and the performance measures, there was a general pattern of positive PERMA–performance relationships across both …

Evaluating Study Procedure Training Methods For A Remote Daily Diary Study Of Sexual Minority Women, Kristin E. Heron, Abby Braitman, Charlotte A. Dawson, Rachel I. Macintyre, Lindsay M. Howard, Robin J. Lewis

Psychology Faculty Publications

Background: Ecological momentary assessment (EMA) methods can be used to remotely assess physical and mental health in daily life for hard-to-reach, marginalized, and geographically dispersed populations in the U.S., such as sexual minority women (e.g., lesbian, bisexual). However, EMA studies are often complex, and engaging participants from afar can be a challenge. This study experimentally examined whether adding videos to written recruitment materials would improve consent rates, reduce dropout rates, and improve survey completion rates for an online daily diary study.

Methods: As part of a 2-week study of same-sex female couples' health, 376 women ages 18-35 were recruited from …

Consensus Statement On Ethical & Safety Practices For Conducting Digital Monitoring Studies With People At Risk Of Suicide And Related Behaviors, Matthew K. Nock, Evan M. Kleiman, Melissa Abraham, Kate H. Bentley, David A. Brent, Ralph J. Buonopane, Franckie Castro-Ramirez, Christine B. Cha, Walter Dempsey, John Draper, Catherine R. Glenn, Jill Harkavy-Friedman, Michael R. Hollander, Jeffrey C. Huffman, Hye In S. Lee, Alexander J. Millner, David Mou, Jukka-Pekka Onnela, Rosalind W. Picard, Heather M. Quay, Osiris Rankin, Shannon Sewards, John Torous, Joan Wheelis, Ursula Whiteside, Galia Siegel, Anna E. Ordóñez, Jane L. Pearson

Psychology Faculty Publications

OBJECTIVE: Digital monitoring technologies (e.g., smart-phones and wearable devices) provide unprecedented opportunities to study potentially harmful behaviors such as suicide, violence, and alcohol/substance use in real-time. The use of these new technologies has the potential to significantly advance the understanding, prediction, and prevention of these behaviors. However, such technologies also introduce myriad ethical and safety concerns, such as deciding when and how to intervene if a participant's responses indicate elevated risk during the study?

METHODS: We used a modified Delphi process to develop a consensus among a diverse panel of experts on the ethical and safety practices for conducting digital …

Does Team Leader Gender Matter? A Bayesian Reconciliation Of Leadership And Patient Care During Trauma Resuscitations, Elizabeth D. Rosenman, Anthony Misisco, Jeffrey Olenick, Sarah M. Brolliar, Anne K. Chipman, Marie C. Vrablik, Georgia T. Chao, Steve W.J. Kozlowski, James A. Grand, Rosemarie Fernandez

Psychology Faculty Publications

OBJECTIVE: Team leadership facilitates teamwork and is important to patient care. It is unknown whether physician gender-based differences in team leadership exist. The objective of this study was to assess and compare team leadership and patient care in trauma resuscitations led by male and female physicians.

METHODS: We performed a secondary analysis of data from a larger randomized controlled trial using video recordings of emergency department trauma resuscitations at a Level 1 trauma center from April 2016 to December 2017. Subjects included emergency medicine and surgery residents functioning as trauma team leaders. Eligible resuscitations included adult patients meeting institutional trauma …

Maternal Depression Trajectories And Child Bmi In A Multi-Ethnic Sample: A Latent Growth Modeling Analysis, Charlotte V. Farewell, Ryley Donohoe, Zaneta Thayer, James Paulson, Jacinda Nicklas, Caroline Walker, Karen Waldie, Jenn A. Leiferman

Psychology Faculty Publications

Background

Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum.

Methods

This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative-level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass …

Fake It Till You Make It With Your Boss? Surface Acting In Interactions With Leaders, Xiaoxiao Hu, Yujie Zhan, William P. Jimenez, Rebecca Garden, Yi Li

Psychology Faculty Publications

Due to its influence on important workplace outcomes, surface acting has drawn increasing attention from researchers in recent years. Most of the research in this area has focused on employees’ interactions with individuals external to the organization, such as customers and clients (Bolton, 2005; Grandey et al., 2013). With the current study, we contribute to and extend the literature by focusing on employees’ leader-directed surface acting and examining how leader-directed surface acting (i.e., faking positive emotions and suppressing negative emotions in interactions with one’s leader) relates to leader ratings of employee task performance. Data collected from 414 employees and 103 …

Business Analysis And Future Development Of An Electric Vehicle Company -- Tesla, Xuan Shao, Qin Wang, Haoyi Yang

Psychology Faculty Publications

The boom in electric vehicles in recent years has caught the attention of many companies that are investing or will be investing in the industry due to the increasing demand for electric cars. Tesla as a leader of the electric vehicles (EVs) industry, its development is of vital significance for referential value. Previous research on electric vehicle acceptance and behavioral intention of purchase is comprehensive, which could enable the EVs industry to understand consumer psychology. However, there is little analysis of the business strategy and future development of specific companies. When it comes to sustainability, almost every company has a …

Nonsuicidal Self-Injury, Suicide Planning, And Suicide Attempt Among High-Risk Adolescents Prior To Psychiatric Hospitalization, Christina M. Sellers, Antonia Díaz-Valdés, Andrew C. Porter, Catherine R. Glenn, Adam Bryant Miller, Adeline Wyman Battalen, Kimberly H. Mcmanama O'Brien

Psychology Faculty Publications

The purpose of this study was to understand the trajectories of nonsuicidal self-injury (NSSI) and suicide plans (SP) in the 90 days prior to inpatient hospitalization, understand the role of NSSI and SP in predicting suicide attempts (SA) on a given day, and to test the interaction between NSSI and SP in predicting same-day SA. Participants included 69 adolescents (77% female, 65% white, 77% Non-Hispanic/Latinx, Mage = 15.77 SDage = 1.00) from an inpatient psychiatric unit. Past 90 day NSSI, SP, and SA were measured using the Columbia Suicide Severity Rating Scale and Timeline Follow Back. First, mixed effect models …

How Interesting Is This To You: Rating The Interestingness Of Auditory Clips, Hanna Zakharenko, James R. Unverricht, Yusuke Yamani

Psychology Faculty Publications

Modern technological environments integrate multiple devices, competing for limited attentional resources of users. This study aimed to validate the auditory stimuli used in Horrey et al. (2017) with a college student population and examine the psychological structure of task engagement. Thirty-nine students listened to thirty-nine auditory stimuli used in Horrey et al. (2017) for their level of engagement. Participants rated how interesting they found the material on a slider from -7 (boring) to 7 (interesting) while listening to each clip. Participants also rated levels of difficulty, entertainment, and likelihood to attend to each clip. Participants who rated high on difficulty, …

Examining The Ecological Validity Of The Power Of Food Scale, Lindsay M. Howard, Kristin E. Heron, Kathryn E. Smith, Ross D. Crosby, Scott G. Engel, Stephen A. Wonderlich, Tyler B. Mason

Psychology Faculty Publications

Purpose

Appetite for palatable foods may impact eating-related behaviors in everyday life. The present study evaluated the real-world predictive validity of the Power of Food Scale (PFS) using ecological momentary assessment (EMA).

Methods

30 women who reported binge eating completed the PFS and related measures. Subsequently, during a 14-day assessment period, participants completed five daily EMA surveys of appetite and binge eating via text message and web.

Results

Results of generalized estimating equations showed that higher PFS scores were associated with higher momentary levels of hunger, eagerness to eat, and urge to eat but were unrelated to fullness, preoccupation with …

Minority Stress And Alcohol Use In Sexual Minority Women's Daily Lives, Robin J. Lewis, Kelly A. Romano, Sarah J. Ehlke, Cathy Lau-Barraco, Cassidy M. Sandoval, Douglas J. Glenn, Kristin E. Heron

Psychology Faculty Publications

No abstract provided.

Detecting Incentivized Review Groups With Co-Review Graph, Yubao Zhang, Shuai Hao, Haining Wang

Computer Science Faculty Publications

Online reviews play a crucial role in the ecosystem of nowadays business (especially e-commerce platforms), and have become the primary source of consumer opinions. To manipulate consumers’ opinions, some sellers of e-commerce platforms outsource opinion spamming with incentives (e.g., free products) in exchange for incentivized reviews. As incentives, by nature, are likely to drive more biased reviews or even fake reviews. Despite e-commerce platforms such as Amazon have taken initiatives to squash the incentivized review practice, sellers turn to various social networking platforms (e.g., Facebook) to outsource the incentivized reviews. The aggregation of sellers who …

Reflection And Transmission Of Electromagnetic Pulses At A Planar Dielectric Interface: Theory And Quantum Lattice Simulations, Abhay K. Ram, George Vahala, Linda Vahala, Min Soe

Electrical & Computer Engineering Faculty Publications

There is considerable interest in the application of quantum information science to advance computations in plasma physics. A particular point of curiosity is whether it is possible to take advantage of quantum computers to speed up numerical simulations relative to conventional computers. Many of the topics in fusion plasma physics are classical in nature. In order to implement them on quantum computers, it will require couching a classical problem in the language of quantum mechanics. Electromagnetic waves are routinely used in fusion experiments to heat a plasma or to generate currents in the plasma. The propagation of electromagnetic waves is …

The Conservation Status Of Marine Biodiversity Of The Western Indian Ocean, R. Bullock, Gina Ralph, E. Stump, F. Al Abdali, J. Al Asfoor, B. Al Buwaiqi, A. Al Kindi, A. Ambuali, Tiffany Birge, P. Borsa, F. Di Dario, B. Everett, S. Fennessy, C. Fonseca, Claire Gorman, A. Govender, H. Ho, W. Holleman, N. Jiddawi, M. Khan, H. Larson, Christi Linardich, P. Matiku, K. Matsuura, C. Maunde, H. Motomura, T. Munroe, R. Nair, C. Obota, B. Polidoro, B. Russell, S. Shaheen, Y. Sithole, W. Smith-Vaniz, F. Uiblein, S. Weerts, A. Williams, S. Yahya, Kent Carpenter

Biological Sciences Faculty Publications

The Western Indian Ocean (WIO) is comprised of productive and highly diverse marine ecosystems that are rich sources of food security, livelihoods, and natural wonder. The ecological services that species provide are vital to the productivity of these ecosystems and healthy biodiversity is essential for the continued support of economies and local users. The stability of these valuable resources, however, is being eroded by growing threats to marine life from overexploitation, habitat degradation and climate change, all of which are causing serious reductions in marine ecosystem services and the ability of these ecosystems to support human communities. Quantifying the impacts …

A Survey Of Enabling Technologies For Smart Communities, Amna Iqbal, Stephan Olariu

Computer Science Faculty Publications

In 2016, the Japanese Government publicized an initiative and a call to action for the implementation of a "Super Smart Society" announced as Society 5.0. The stated goal of Society 5.0 is to meet the various needs of the members of society through the provisioning of goods and services to those who require them, when they are required and in the amount required, thus enabling the citizens to live an active and comfortable life. In spite of its genuine appeal, details of a feasible path to Society 5.0 are conspicuously missing. The first main goal of this survey is to …

Vehicular Crowdsourcing For Congestion Support In Smart Cities, Stephan Olariu

Computer Science Faculty Publications

Under present-day practices, the vehicles on our roadways and city streets are mere spectators that witness traffic-related events without being able to participate in the mitigation of their effect. This paper lays the theoretical foundations of a framework for harnessing the on-board computational resources in vehicles stuck in urban congestion in order to assist transportation agencies with preventing or dissipating congestion through large-scale signal re-timing. Our framework is called VACCS: Vehicular Crowdsourcing for Congestion Support in Smart Cities. What makes this framework unique is that we suggest that in such situations the vehicles have the potential to cooperate with various …

Smart Parking Systems: Reviewing The Literature, Architecture And Ways Forward, Can Biyik, Zaheer Allam, Gabriele Pieri, Davide Moroni, Muftah O' Fraifer, Eoin O' Connell, Stephan Olariu, Muhammad Khalid

Computer Science Faculty Publications

The Internet of Things (IoT) has come of age, and complex solutions can now be implemented seamlessly within urban governance and management frameworks and processes. For cities, growing rates of car ownership are rendering parking availability a challenge and lowering the quality of life through increased carbon emissions. The development of smart parking solutions is thus necessary to reduce the time spent looking for parking and to reduce greenhouse gas emissions. The principal role of this research paper is to analyze smart parking solutions from a technical perspective, underlining the systems and sensors that are available, as documented in the …

Large Scale Subject Category Classification Of Scholarly Papers With Deep Attentive Neural Networks, Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles

Computer Science Faculty Publications

Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category classification is a prerequisite for bibliometric studies, organizing scientific publications for domain knowledge extraction, and facilitating faceted searches for digital library search engines. Unfortunately, many academic papers do not have such information as part of their metadata. Most existing methods for solving this task focus on unsupervised learning that often relies on citation networks. However, a complete list of papers citing the current paper may not be readily available. In particular, new papers that have few …

Understanding The Impact Of Encrypted Dns On Internet Censorship, Lin Jin, Shuai Hao, Haining Wang, Chase Cotton

Computer Science Faculty Publications

DNS traffic is transmitted in plaintext, resulting in privacy leakage. To combat this problem, secure protocols have been used to encrypt DNS messages. Existing studies have investigated the performance overhead and privacy benefits of encrypted DNS communications, yet little has been done from the perspective of censorship. In this paper, we study the impact of the encrypted DNS on Internet censorship in two aspects. On one hand, we explore the severity of DNS manipulation, which could be leveraged for Internet censorship, given the use of encrypted DNS resolvers. In particular, we perform 7.4 million DNS lookup measurements on 3,813 DoT …

Ssentiaa: A Self-Supervised Sentiment Analyzer For Classification From Unlabeled Data, Salim Sazzed, Sampath Jayarathna

Computer Science Faculty Publications

In recent years, supervised machine learning (ML) methods have realized remarkable performance gains for sentiment classification utilizing labeled data. However, labeled data are usually expensive to obtain, thus, not always achievable. When annotated data are unavailable, the unsupervised tools are exercised, which still lag behind the performance of supervised ML methods by a large margin. Therefore, in this work, we focus on improving the performance of sentiment classification from unlabeled data. We present a self-supervised hybrid methodology SSentiA (Self-supervised Sentiment Analyzer) that couples an ML classifier with a lexicon-based method for sentiment classification from unlabeled data. We first introduce LRSentiA …

Recognizing Figure Labels In Patents, Ming Gong, Xin Wei, Diane Oyen, Jian Wu, Martin Gryder

Computer Science Faculty Publications

Scientific documents often contain significant information in figures. The United States Patent and Trademark Office (USPTO) awards thousands of patents each week, with each patent containing on the order of a dozen figures. The information conveyed by these figures typically include a drawing or diagram, a label, caption and reference text within the document. Yet associating the short bits of text to the figure is challenging when labels are embedded within the figure, as they typically are in patents. Using patents as a testbench, this paper highlights an open challenge in analyzing all of the information presented in scientific/technical documents …

Extractive Research Slide Generation Using Windowed Labeling Ranking, Athar Sefid, Prasenjit Mitra, Jian Wu, C. Lee Giles

Computer Science Faculty Publications

Presentation slides generated from original research papers provide an efficient form to present research innovations. Manually generating presentation slides is labor-intensive. We propose a method to automatically generates slides for scientific articles based on a corpus of 5000 paper-slide pairs compiled from conference proceedings websites. The sentence labeling module of our method is based on SummaRuNNer, a neural sequence model for extractive summarization. Instead of ranking sentences based on semantic similarities in the whole document, our algorithm measures the importance and novelty of sentences by combining semantic and lexical features within a sentence window. Our method outperforms several baseline methods …

Systematizing Confidence In Open Research And Evidence (Score), Nazanin Alipourfard, Beatrix Arendt, Daniel M. Benjamin, Noam Benkler, Michael Bishop, Mark Burstein, Martin Bush, James Caverlee, Yiling Chen, Chae Clark, Anna Dreber Almenberg, Timothy M. Errington, Fiona Fidler, Nicholas Fox, Aaron Frank, Hannah Fraser, Scott Friedman, Ben Gelman, James Gentile, Jian Wu, Et Al., Score Collaboration

Computer Science Faculty Publications

Assessing the credibility of research claims is a central, continuous, and laborious part of the scientific process. Credibility assessment strategies range from expert judgment to aggregating existing evidence to systematic replication efforts. Such assessments can require substantial time and effort. Research progress could be accelerated if there were rapid, scalable, accurate credibility indicators to guide attention and resource allocation for further assessment. The SCORE program is creating and validating algorithms to provide confidence scores for research claims at scale. To investigate the viability of scalable tools, teams are creating: a database of claims from papers in the social and behavioral …

Automatic Metadata Extraction Incorporating Visual Features From Scanned Electronic Theses And Dissertations, Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, Edward A. Fox

Computer Science Faculty Publications

Electronic Theses and Dissertations (ETDs) contain domain knowledge that can be used for many digital library tasks, such as analyzing citation networks and predicting research trends. Automatic metadata extraction is important to build scalable digital library search engines. Most existing methods are designed for born-digital documents, so they often fail to extract metadata from scanned documents such as ETDs. Traditional sequence tagging methods mainly rely on text-based features. In this paper, we propose a conditional random field (CRF) model that combines text-based and visual features. To verify the robustness of our model, we extended an existing corpus and created a …