Digital Commons Network^™

Package Power Distribution Current Density In Applications With Large Transient Currents, Matthew Doyle, Wiren D. Becker, Matteo Cocchini, Kyle Schoneck, Samuel Connor, Layne Berge, Siqi Bai, James L. Drewniak

Electrical and Computer Engineering Faculty Research & Creative Works

A method to model, measure, and characterize a high-transient current in an electrical packaging solution is described herein. These methods help overcome the challenge of generating model to hardware correlation in high current applications. A specialized test platform is developed and used to characterize current density in test hardware. The measurements are used to characterize a custom power distribution network and verify validity of current density predictions. This data is critical in high-current applications for finding and measuring current density through plane pinch points that can cause early failures in the field due to electromigration and delamination.

Automated Cervical Digitized Histology Whole-Slide Image Analysis Toolbox, Sudhir Sornapudi, Ravitej Addanki, R. Joe Stanley, William V. Stoecker, Rodney Long, Rosemary Zuna, Shellaine R. Frazier, Sameer Antani

Electrical and Computer Engineering Faculty Research & Creative Works

Background: Cervical intraepithelial neoplasia (CIN) is regarded as a potential precancerous state of the uterine cervix. Timely and appropriate early treatment of CIN can help reduce cervical cancer mortality. Accurate estimation of CIN grade correlated with human papillomavirus type, which is the primary cause of the disease, helps determine the patient's risk for developing the disease. Colposcopy is used to select women for biopsy. Expert pathologists examine the biopsied cervical epithelial tissue under a microscope. The examination can take a long time and is prone to error and often results in high inter-and intra-observer variability in outcomes. Methodology: We propose …

Sustainability Of Rewards-Based Crowdfunding: A Quasi-Experimental Analysis Of Funding Targets And Backer Satisfaction, Michael Wessel, Rob Gleasure, Robert John Kauffman

Research Collection School Of Computing and Information Systems

Rewards-based crowdfunding presents an information asymmetry for participants due to the funding mechanism used. Campaign-backers trust creators to complete projects and deliver rewards as outlined prior to the fundraising process, but creators may discover better opportunities as they progress with a project. Despite this, the all-or-nothing (AON) mechanism on crowdfunding platforms incentivizes creators to set meager funding-targets that are easier to achieve but may offer limited slack when creators wish to simultaneously pursue emerging opportunities later in the project. We explore the related issues of how funding targets seem to be selected by the creators, and how dissatisfaction with the …

Mobile Commerce, Crowd Commerce, And Stage Models: Reviewing And Expanding On Tp Liang’S Research, Sihua Chen, Mikko Siponen, Wael Soliman, Cao Xin, Keng Siau

Research Collection School Of Computing and Information Systems

In this paper, we review a few key themes of Ting-Peng (TP) Liang’s research. We first discuss some of his major contributions to information systems (IS) in the areas of electronic commerce, mobile commerce, and crowd commerce. Future research directions for these three themes are also discussed in the paper. TP Liang is also an early proponent of stage models although this stream of research has yet to receive the importance it deserves in the IS community. Previous seminal theoretical accounts in IS have generally separated variance and process models, the latter is useful in modeling changes in the explanatory …

Managing Risks In The Improved Model Of Rolling Mill Loading: A Case Study, Nelli V. Syreyshchikova, Danil Y. Pimenov, Elena N. Yaroslavova, Munish K. Gupta, Muhammad Aamir, Khaled Giasin

Research outputs 2014 to 2021

This article reflects the main sources of risks for metallurgical enterprises in Russia, presenting the implementation of an innovative approach to increasing the competitiveness of an industrial enterprise, which is a typical representative of large enterprises of the metallurgical industry, based on the development of risk-oriented thinking when loading rolling mills with orders of intersecting assortment according to a new model. To reduce the emerging risks of a new model of the loading process of rolling mills of a metallurgical enterprise, it is proposed to take into account the risks in a complex way, taking into account their interactions with …

An Evolutionary Approach To Balancing And Disrupting Real-Time Strategy Games, Jacob Snell, Martin Masek, Chiou Peng Lam

Research outputs 2014 to 2021

In most computer games, the level of challenge experienced by a player is dependent on a range of variable factors defined within the game environment. When the end goal of such games is entertainment, the variables are carefully tuned by the designers to achieve a sense of fair, balanced gameplay. For military force design and wargaming applications, where the purpose is to explore elements of a real scenario, the question turns to how the variables can be exploited so as to provide the maximum advantage, and to disrupt the balance in favour of a particular side. In this paper, an …

Interpretable, Not Black-Box, Artificial Intelligence Should Be Used For Embryo Selection, Michael Anis Mihdi Afnan, Yanhe Liu, Vincent Conitzer, Cynthia Rudin, Abhishek Mishra, Julian Savulescu, Masoud Afnan

Research outputs 2014 to 2021

Artificial intelligence (AI) techniques are starting to be used in IVF, in particular for selecting which embryos to transfer to the woman. AI has the potential to process complex data sets, to be better at identifying subtle but important patterns, and to be more objective than humans when evaluating embryos. However, a current review of the literature shows much work is still needed before AI can be ethically implemented for this purpose. No randomized controlled trials (RCTs) have been published, and the efficacy studies which exist demonstrate that algorithms can broadly differentiate well between ‘good-’ and ‘poor-’ quality embryos but …

Novel Adaptive Sampling Algorithm For Pod-Based Non-Intrusive Reduced Order Model, Jiachen Wang, Xiaosong Du, Joaquim R.R.A. Martins

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The proper orthogonal decomposition (POD) based reduced-order model (ROM) has been an effective tool for flow field prediction in the engineering industry. The sample selection in the design space for POD basis construction affects the ROM performance sensitively. Adaptive sampling can significantly reduce the number of samples to achieve the required model accuracy. In this work, we propose a novel adaptive sampling algorithm, called conjunction sampling strategy, which is based on proven strategies. The conjunction sampling strategy is demonstrated on airfoil flow field prediction within the transonic regime. We demonstrate the performance of the proposed strategy by running 10 trials …

Nanostructured Copper Selenide As An Ultrasensitive And Selective Non-Enzymatic Glucose Sensor, Siddesh Umapathi, Harish Singh, Jahangir Masud, Manashi Nath

Chemistry Faculty Research & Creative Works

CuSe nanostructures exhibit high-efficiency for glucose detection with high sensitivity (19.419 mA mM-1 cm-2) and selectivity at a low applied potential of +0.15 V vs. Ag|AgCl, a low detection limit of 0.196 μM and a linear range of glucose detection from 100 nm. to 40 μM. This journal is

Exploring The Experiences Of One Team Of Teachers: Well-Being And Navigating The Demands Of The Education Profession, Abby Weiland

Dissertations and Theses @ UNI

Much is changing in K-12 education contexts, including an emphasis on performativity and accountability (Au, 2016; Connell, 2009). Against this backdrop, teacher burnout and attrition have been the focus of numerous studies, including examination of organizational structures and factors contributing to burnout (Buckley et al., 2005; Konu et al., 2010). Insufficient attention has been given to how teachers are able to navigate the demands of this profession (Matteucci et al., 2017; Wilcox & Lawson, 2018). Efforts to retain teachers should not only emphasize factors associated with burnout or attrition, but also how they are affected by the systems in place, …

Recommender Systems In Higher Education: The Effectiveness Of Meta-Data Analysis In Predicting Academic Success, Michael J. Holmes

Dissertations and Theses @ UNI

A recommender system is: “a software technology that proactively suggests items of interest to users based on their objective behavior or their explicitly stated preferences” (Pu et al., 2011, p. 157).

Whether we realize it or not, much of our lives are influenced by recommender systems. These systems may recommend where we eat, what movie we watch, what music we listen to, what products we buy, or even what news and social media content we see.

Recommender systems have been effectively utilized in higher education to recommend courses as well as customizing content within an online course to meet specific …

Enhancing Mixed Traffic Flow Safety Via Connected And Autonomous Vehicle Trajectory Planning With A Reinforcement Learning Approach, Yanqiu Cheng, Chenxi Chen, Xianbiao Hu, Kuanmin Chen, Qing Tang, Yang Song

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The longitudinal trajectory planning of connected and autonomous vehicle (CAV) has been widely studied in the literature to reduce travel time or fuel consumptions. The safety impact of CAV trajectory planning to the mixed traffic flow with both CAV and human-driven vehicle (HDV), however, is not well understood yet. This study presents a reinforcement learning modeling approach, named Monte Carlo tree search-based autonomous vehicle safety algorithm, or MCTS-AVS, to optimize the safety of mixed traffic flow, on a one-lane roadway with signalized intersection control. Crash potential index (CPI) is defined to quantitively measure the safety performance of the mixed traffic …

Your 'Attention' Deserves Attention: A Self-Diversified Multi-Channel Attention For Facial Action Analysis, Xiaotian Li, Zhihua Li, Huiyuan Yang, Geran Zhao, Lijun Yin

Computer Science Faculty Research & Creative Works

Visual attention has been extensively studied for learning fine-grained features in both facial expression recognition (FER) and Action Unit (AU) detection. A broad range of previous research has explored how to use attention modules to localize detailed facial parts (e, g. facial action units), learn discriminative features, and learn inter-class correlation. However, few related works pay attention to the robustness of the attention module itself. Through experiments, we found neural attention maps initialized with different feature maps yield diverse representations when learning to attend the identical Region of Interest (ROI). In other words, similar to general feature learning, the representational …

Exploiting Semantic Embedding And Visual Feature For Facial Action Unit Detection, Huiyuan Yang, Lijun Yin, Yi Zhou, Jiuxiang Gu

Computer Science Faculty Research & Creative Works

Recent study on detecting facial action units (AU) has utilized auxiliary information (i.e., facial landmarks, relationship among AUs and expressions, web facial images, etc.), in order to improve the AU detection performance. As of now, no semantic information of AUs has yet been explored for such a task. As a matter of fact, AU semantic descriptions provide much more information than the binary AU labels alone, thus we propose to exploit the Semantic Embedding and Visual feature (SEV-Net) for AU detection. More specifically, AU semantic embeddings are obtained through both Intra-AU and Inter-AU attention modules, where the Intra-AU attention module …

Fecal Sample Collection Methods And Time Of Day Impact Microbiome Composition And Short Chain Fatty Acid Concentrations, Jacquelyn Jones, Stacey N. Reinke, Alishum Ali, Debra J. Palmer, Claus T. Christophersen

Research outputs 2014 to 2021

Associations between the human gut microbiome and health outcomes continues to be of great interest, although fecal sample collection methods which impact microbiome studies are sometimes neglected. Here, we expand on previous work in sample optimization, to promote high quality microbiome data. To compare fecal sample collection methods, amplicons from the bacterial 16S rRNA gene (V4) and fungal (ITS2) region, as well as short chain fatty acid (SCFA) concentrations were determined in fecal material over three timepoints. We demonstrated that spot sampling of stool results in variable detection of some microbial members, and inconsistent levels of SCFA; therefore, sample homogenization …

Association Between Community-Based Self-Reported Covid-19 Symptoms And Social Deprivation Explored Using Symptom Tracker Apps: A Repeated Cross-Sectional Study In Northern Ireland, Jennifer M. Mckinley, David Cutting, Neil Anderson, Conor Graham, Brian Johnston, Ute Mueller, Peter M. Atkinson, Hugo Van Woerden, Declan T. Bradley, Frank Kee

Research outputs 2014 to 2021

Objectives: The aim of the study was to investigate the spatial and temporal relationships between the prevalence of COVID-19 symptoms in the community-level and area-level social deprivation. Design: Spatial mapping, generalised linear models, using time as a factor and spatial-lag models were used to explore the relationship between self-reported COVID-19 symptom prevalence as recorded through two smartphone symptom tracker apps and a range of socioeconomic factors using a repeated cross-sectional study design. Setting: In the community in Northern Ireland, UK. The analysis period included the earliest stages of non-pharmaceutical interventions and societal restrictions or 'lockdown' in 2020. Participants: Users of …

Whisper: A Location Privacy-Preserving Scheme Using Transmission Range Changing For Internet Of Vehicles, Messaoud Babaghayou, Nabila Labraoui, Ado A. Abba Ari, Mohamed A. Ferrag, Leandros Maglaras, Helge Janicke

Research outputs 2014 to 2021

Internet of Vehicles (IoV) has the potential to enhance road-safety with environment sensing features provided by embedded devices and sensors. This benignant feature also raises privacy issues as vehicles announce their fine-grained whereabouts mainly for safety requirements, adversaries can leverage this to track and identify users. Various privacy-preserving schemes have been designed and evaluated, for example, mix-zone, encryption, group forming, and silent-period-based techniques. However, they all suffer inherent limitations. In this paper, we review these limitations and propose WHISPER, a safety-aware location privacy-preserving scheme that adjusts the transmission range of vehicles in order to prevent continuous location monitoring. We detail …

The Effect Of Cryogenic Machining Of S2 Glass Fibre Composite On The Hole Form And Dimensional Tolerances, Ugur Koklu, Sezer Morkavuk, Carol Featherston, Malik Haddad, David Sanders, Muhammad Aamir, Danil Yu Pimenov, Khaled Giasin

Research outputs 2014 to 2021

S2 glass fibre reinforced epoxy composites are widely used in aeronautical applications owing to their excellent strength to weight ratio. Drilling glass fibres can be cumbersome due to their abrasive nature and poor thermal conductivity. Moreover, the use of conventional coolants is not desirable due to contamination and additional costs for cleaning the machine part. An alternative is to use environmentally friendly coolants such as liquid nitrogen (LN2) which have been previously employed in machining metals and composites. The current study investigates the effect of drilling S2 glass fibre composite in a bath of LN2. The study aims to evaluate …

Covid-19 Disease Severity And Death In Relation To Vitamin D Status Among Sars-Cov-2-Positive Uae Residents, Habiba Alsafar, William B. Grant, Rafiq Hijazi, Maimunah Uddin, Nawal Alkaabi, Guan Tay, Bassam Mahboub, Fatme Al Anouti

Research outputs 2014 to 2021

Insufficient blood levels of the neurohormone vitamin D are associated with increased risk of COVID-19 severity and mortality. Despite the global rollout of vaccinations and promising preliminary results, the focus remains on additional preventive measures to manage COVID-19. Results conflict on vitamin D’s plausible role in preventing and treating COVID-19. We examined the relation between vitamin D status and COVID-19 severity and mortality among the multiethnic population of the United Arab Emirates. Our observational study used data for 522 participants who tested positive for SARS-CoV-2 at one of the main hospitals in Abu Dhabi and Dubai. Only 464 of those …

Wellbeing Of Breastfeeding Women In Australia And New Zealand During The Covid‐19 Pandemic: A Cross‐Sectional Study, Vanessa S. Sakalidis, Alethea Rea, Sharon L. Perrella, Jacki Mceachran, Grace Collis, Jennifer Miraudo, Stuart A. Prosser, Lisa Y. Gibson, Desiree Silva, Donna T. Geddes

Research outputs 2014 to 2021

During the COVID‐19 pandemic, breastfeeding women have experienced restricted access to support, placing them at increased risk of mental health concerns and limited breastfeeding assistance. This study investigated the effect of the pandemic on feeding choices and maternal well-being amongst breastfeeding mothers living in Australian and New Zealand. We conducted a cross-sectional online survey that examined feeding methods, maternal mental wellbeing, worries, challenges, and positive experiences during the pandemic. Most women were exclusively breastfeeding (82%). Partial breastfeeding was associated with perceived low milk supply and longer pregnancy duration during the pandemic. Reduced mental health and wellbeing was associated with lower …

Sleep Characteristics And Mood Of Professional Esports Athletes: A Multi-National Study, Sangha Lee, Daniel Bonnar, Brandy Roane, Michael Gradisar, Ian C. Dunican, Michele Lastella, Gemma Maisey, Sooyeon Suh

Research outputs 2014 to 2021

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Esports is becoming increasingly professionalized, yet research on performance management is remarkably lacking. The present study aimed to investigate the sleep and mood of professional esports athletes. Participants were 17 professional esports athletes from South Korea (N = 8), Australia (N = 4), and the United States (N = 5) who played first person shooter games (mean age 20 ± 3.5 years, 100% male). All participants wore a wrist-activity monitor for 7–14 days and completed subjective sleep and mood questionnaires. Participants had a median total sleep time of 6.8 h and …

Detecting Sex-Related Changes To The Metabolome Of A Critically Endangered Freshwater Crayfish During The Mating Season, Emily Lette, Quinton Burnham, Nathan Lawler, Pierre Horwitz, Mary C. Boyce, David I. Broadhurst, Rodney Duffy, Annette Koenders

Research outputs 2014 to 2021

Captive breeding is a vital tool in the conservation of highly endangered species, as it is for the Margaret River hairy marron, Cherax tenuimanus, from the south west of Australia. A close relative, Cherax cainii, has almost completely displaced C. tenuimanus in the wild and is a successful aquaculture species, whereas C. tenuimanus has performed poorly in captivity. We used untargeted liquid chromatography-mass spectrometry to obtain metabolomic profiles of female and male C. tenuimanus held in controlled aquarium conditions during their reproductive period. Using repeated haemolymph sampling we tracked the metabolomic profiles of animals just prior to and …

Open Education Exploration Grant: Leah Nillas, Leah Nillas

Ames Library Awards

No abstract provided.

Contribution Of Electronic Theses And Dissertations (Etds) By The Central Universities Of Northeast India To The Shodhganga Project Of Inflibnet: An Evaluative Study, Ankita Saloi

Library Philosophy and Practice (e-journal)

The present study attempts to evaluate the contributions made by the central universities of Northeast India to the open access repository of Shodhganga by INFLIBNET. Out of total 10 central universities of Northeast India, 9 Universities have already signed with MoU of Shodhganga repository and all are contributing their theses and dissertations to this project. North Eastern Hill University (NEHU) made the first initiative to signed MoU with Shodhganga and it has the highest numbers of 2,093 contributions in the repository and ranked 1st among all the central universities of Northeast India. Department of Education of North Eastern Hill University …

Bibliometric Dimensions Of Research In Social Sciences: An Empirical Analysis Of Indian Central Universities, Namita Mahapatra, Jyotshna Sahoo

Library Philosophy and Practice (e-journal)

This paper evaluates the performance of the 14 most productive Central Universities in Social Sciences research. The study is based on the Scopus Indexing database for the period from 2009 to 2018 where the total records retrieved were 7278. Results revealed that journal articles were the most preferred form of publication with 4293 (59%) research papers and the mean annual growth rate of publications was 1.01 while the Mean RGR (Relative Growth Rate) and DT (Doubling Time) were 0.314 and 2.751 respectively. The total number of citations received was 38456 with 5.77 mean citations per paper. Out of the total …

A Bibiliometric Analysis Of The Journal Of Computers In Human Behavior: 1985–2019, Mohsen Jalali

Library Philosophy and Practice (e-journal)

Background: The Journal of Computers in Human Behavior published its first issue in 1985. This study presents a general overview of the journal from 1985 until 2019 using bibliometric indicators to assess its performance.

Methods: The data for this study, dating between 1985 and 2019, was extracted from Scopus database. All the information was exported in CSV format for data analysis. Additionally, Visualization was done by VOS viewer software and applying techniques such as Co-occurrence of keywords, Co-citation of journals, and bibliographic coupling of countries.

Results: The results show that the Journal of Computers in Human Behavior has experienced a …

Chemometrics Using R, David T. Harvey

Chemistry & Biochemistry Faculty Publications

Although you may not yet know what we mean by the term chemometrics, you almost certainly make routine use of chemometric techniques in your classes and labs: reporting an average result for several trials of an experiment or creating a calibration curve and using it to find an analyte’s concentration are two examples of chemometric methods analysis with which you almost certainly are familiar. The goal of this textbook is to provide an introduction to chemometrics suitable for the undergraduate chemistry curriculum at the junior or senior level; indeed, much of this textbook's content, including many of the examples and …

Covert Computation In Staged Self-Assembly: Verification Is Pspace-Complete, David Caballero, Timothy Gomez, Robert Schweller, Tim Wylie

Computer Science Faculty Publications

Staged self-assembly has proven to be a powerful abstract model of self-assembly by modeling laboratory techniques where several nanoscale systems are allowed to assemble separately and then be mixed at a later stage. A fundamental problem in self-assembly is Unique Assembly Verification (UAV), which asks whether a single final assembly is uniquely constructed. This has previously been shown to be Π^{p}₂-hard in staged self-assembly with a constant number of stages, but a more precise complexity classification was left open related to the polynomial hierarchy.
Covert Computation was recently introduced as a way to compute a function while hiding the input …

Majorization And Minimal Energy On Spheres, Oleg R. Musin

School of Mathematical & Statistical Sciences Faculty Publications

In the present paper, we consider the majorization theorem (also known as Karamata's inequality) and the respective minima of the majorization (the so-called M-sets) for f-energy potentials of m-point configurations on the unit sphere. In particular, we show the optimality of regular simplexes, describe some M-sets of small cardinality, define and discuss spherical f-designs.

The Role Of Stereotype Threat In Ethnically Minoritized Students' Science Motivation: A Four-Year Longitudinal Study Of Achievement And Persistence In Stem, Delaram A. Totonchi, Tony Perez, You-Kyung Lee, Kristy A. Robinson, Lisa Linnenbrink-Garcia

STEMPS Faculty Publications

Grounded in expectancy-value and stereotype threat theories, this four-year longitudinal study examined associations between changes in stereotype threat and motivation (self-efficacy, task values, and perceived costs) among 425 undergraduates from racial/ethnic groups typically underrepresented in science, technology, engineering, and mathematics (STEM). Growth analyses indicated that students' stereotype threat and perceived cost of studying science increased during college, whereas science self-efficacy, intrinsic value, and attainment value declined. Parallel growth analyses suggested that higher initial stereotype threat related to a faster decline in attainment value and faster increase in perceived costs throughout college. Higher initial levels and a steeper increase in stereotype …