Digital Commons Network^™

Beyond Binary: Revealing Variations In Islamophobic Content With Hierarchical Multi-Class Classification, Esraa Aldreabi, Khawlah M. Harahsheh, Mukul Dev Chhangani, Chung-Hao Chen, Jeremy Blackburn

Electrical & Computer Engineering Faculty Publications

In the digital age, the rise of Islamophobia-marked by an irrational fear or discrimination against Islam and Muslims-has emerged as a pressing issue, especially on social media platforms. In this paper we employs a multi-class classification system, moving beyond traditional binary models. We categorize Islamophobic content into three main classes and various subclasses, covering a range from subtle biases to explicit incitement. Comparative analysis of data from Reddit and Twitter illuminates the distinct prevalence and types of Islamophobic content specific to each platform. This paper deepens our understanding of digital Islamophobia and provides insights for crafting targeted online counter strategies. …

Toward Inclusivity: Rethinking Islamophobic Content Classification In The Digital Age, Esraa Aldreabi, Mukul Dev Chhangani, Khawlah M. Harahsheh, Justin M. Lee, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

In this paper, we implement a comprehensive three-class system to categorize social media discussions about Islam and Muslims, enhancing the typical binary approach. These classes are: I) General Discourse About Islam and Muslims, II) Criticism of Islamic Teachings and Figures, and III) Comments Against Muslims. These categories are designed to balance the nuances of free speech while protecting diverse groups like Muslims, ex-Muslims, LGBTQ+ communities, and atheists. By utilizing machine learning and employing transformer-based models, we analyze the distribution and characteristics of these classes in social media content. Our findings reveal distinct patterns of user engagement with topics related to …

Runtime Performance Of Gamess Quantum Chemistry Application Offloaded To Gpus, Masha Sosonkina, Gabriel Mateescu, Peng Xu, Tosaporn Sattasathuchana, Buu Pham, Mark S. Gordon, Sarom S. Leang

Electrical & Computer Engineering Faculty Publications

Computational chemistry is at the forefront of solving urgent societal problems, such as polymer upcycling and carbon capture. The complexity of modeling these processes at appropriate length and time scales is mainly manifested in the number and types of chemical species involved in the reactions and may require models of several thousand atoms and large basis sets to accurately capture the chemical complexity and heterogeneity in the physical and chemical processes. The quantum chemistry package General Atomic and Molecular Electronic Structure System (GAMESS) has a wide array of methods that can efficiently and accurately treat complex chemical systems. In this …

Real-Time Spectroscopic Ellipsometry For Flux Calibrations In Multi-Source Co-Evaporation Of Thin Films: Application To Rate Variations In Cuinse₂ Deposition, Dhurba R. Sapkota, Balaji Ramanujam, Puja Pradhan, Mohammed A. Razooqi Alaani, Ambalanath Shan, Michael J. Heben, Sylvain Marsillac, Nikolas J. Podraza, Robert W. Collins

Electrical & Computer Engineering Faculty Publications

Flux calibrations in multi-source thermal co-evaporation of thin films have been developed based on real-time spectroscopic ellipsometry (RTSE) measurements. This methodology has been applied to fabricate CuInSe₂ (CIS) thin film photovoltaic (PV) absorbers, as an illustrative example, and their properties as functions of deposition rate have been studied. In this example, multiple Cu layers are deposited step-wise onto the same Si wafer substrate at different Cu evaporation source temperatures (TCu). Multiple In₂Se₃ layers are deposited similarly at different In source temperatures (TIn). Using RTSE, the Cu and In₂Se₃ deposition rates are determined as …

Visual Representation Based Creative Problem Solving (Cps) For Microelectronic Course, Gon Namkoong, Tian Luo

Electrical & Computer Engineering Faculty Publications

Microelectronic technologies become the basis for many modern revolutions and require technological innovation and creative transformation of new knowledge into products. This demands our engineering students to be more innovative and creative than ever. It also requires solid resources and strategies to cultivate higher-order thinking skills for engineering students. Presently, microelectronic course covers a wide range of topic areas, including basic semiconductor, pn junction diode, metal oxide semiconductor field effect transistor (MOSFET) and bipolar junction transistor (BJT) circuits. A traditional teaching strategy in a typical educational setting encompasses instructors delivering lectures to teach the basics and principles of microelectronic devices …

Predictions Of Lattice Parameters In Niti High-Entropy Shape-Memory Alloys Using Different Machine Learning Models, Tu-Ngoc Lam, Jiajun Jiang, Min-Cheng Hsu, Shr-Ruei Tsai, Mao-Yuan Luo, Shuo-Ting Hsu, Wen-Jay Lee, Chung-Hao Chen, E-Wen Huang

Electrical & Computer Engineering Faculty Publications

This work applied three machine learning (ML) models—linear regression (LR), random forest (RF), and support vector regression (SVR)—to predict the lattice parameters of the monoclinic B19′ phase in two distinct training datasets: previously published ZrO₂-based shape-memory ceramics (SMCs) and NiTi-based high-entropy shape-memory alloys (HESMAs). Our findings showed that LR provided the most accurate predictions for a_c, a_m, b_m, and c_m in NiTi-based HESMAs, while RF excelled in computing βm for both datasets. SVR disclosed the largest deviation between the predicted and actual values of lattice parameters for both training datasets. A combination approach …

Parametrization Of Fluid Models For Electrical Breakdown Of Nitrogen At Atmospheric Pressure, Shirshak K. Dhali

Electrical & Computer Engineering Faculty Publications

In the transient phase of an atmospheric pressure discharge, the avalanche turns into a streamer discharge with time. Hydrodynamic fluid models are frequently used to describe the formation and propagation of streamers, where charge particle transport is dominated by the creation of space charge. The required electron transport data and rate coefficients for the fluid model are parameterized using the local mean energy approximation (LMEA) and the local field approximation (LFA). In atmospheric pressure applications, the excited species produced in the electrical discharge determine the subsequent conversion chemistry. We performed the fluid model simulation of streamers in nitrogen gas at …

Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang

Electrical & Computer Engineering Faculty Publications

Land image recognition and classification and land environment detection are important research fields in remote sensing applications. Because of the diversity and complexity of different tasks of land environment recognition and classification, it is difficult for researchers to use a single model to achieve the best performance in scene classification of multiple remote sensing land images. Therefore, to determine which model is the best for the current recognition classification tasks, it is often necessary to select and experiment with many different models. However, finding the optimal model is accompanied by an increase in trial-and-error costs and is a waste of …

Paper-Based Dna Biosensor For Rapid And Selective Detection Of Mir-21, Alexander Hunt, Sri Ramulu Torati, Gymama Slaughter

Electrical & Computer Engineering Faculty Publications

Cancer is the second leading cause of death globally, with 9.7 million fatalities in 2022. While routine screenings are vital for early detection, healthcare disparities persist, highlighting the need for equitable solutions. Recent advancements in cancer biomarker identification, particularly microRNAs (miRs), have improved early detection. MiR-21 is notably overexpressed in various cancers and can be a valuable diagnostic tool. Traditional detection methods, though accurate, are costly and complex, limiting their use in resource-limited settings. Paper-based electrochemical biosensors offer a promising alternative, providing cost-effective, sensitive, and rapid diagnostics suitable for point-of-care use. This study introduces an innovative electrochemical paper-based biosensor that …

An Overview Of The Relationships Between The Food Industry And Nanotechnology, Mehdi Koushki, Nasrin Amiri-Dashatan, Hossein Pourghadamyari, Hadi Khodabandehloo, Fatemeh Bagheri, Masoumeh Farahani, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Objective: Due to the growth of the global population, food demands are increasing. Hence, the need to develop more efficient methods for producing better quality, safer, and more sustainable food seems essential. In the past decades, the use of nanoscale materials has increased greatly due to the unique chemical, physical, and biological characteristics of nanomaterials compared to bulk materials. This research presents nanotechnology role in improving sensorial properties (taste, appearance, and texture) and safety aspects as well as processing and packaging of foods. The use of nano-omics-based technologies and artificial intelligence-nanotechnology-based technologies in the food industry is also …

Integrated Machine Learning And Deep Learning Models For Cardiovascular Disease Risk Prediction: A Comprehensive Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran

Electrical & Computer Engineering Faculty Publications

Cardiovascular Diseases (CVDs) pose a significant global health challenge, necessitating accurate risk prediction for effective preventive measures. This comprehensive comparative study explores the performance of traditional Machine Learning (ML) and Deep Learning (DL) models in predicting CVD risk, utilizing a meticulously curated dataset derived from health records. Rigorous preprocessing, including normalization and outlier removal, enhances model robustness. Diverse ML models (Logistic Regression, Random Forest, Support Vector Machine, K-Nearest Neighbor, Decision Tree, and Gradient Boosting) are compared with a Long Short-Term Memory (LSTM) neural network for DL. Evaluation metrics include accuracy, ROC AUC, computation time, and memory usage. Results identify the …

Documents From The February 2, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the February 2, 2024 meeting of the Associated Students of the University of Montana (ASUM).

Verification And Validation Of Pavement Models, Jaime Hernandez, Angeli Jayme, Hasan Ozer, Eyal Levenberg, Lev Khazanovich, Emin M. Kutay

Civil and Environmental Engineering Faculty Research and Publications

Model development activities are increasing in pavement research and engineering applications. At the same time, there is ambiguity and a lack of consistency with regard to checking and quantifying credibility and suitability for the intended application. Specifically, usage of the terms Verification and Validation (V&V) is seen to vary across contributions. In this context, this paper was motivated by the desire to provide a best-practice reference that underlines the significance of the V&V terms, clarifies their definition, and promotes a more unified usage. Accordingly, the objective was to offer examples that introduce the V&V jargon, demonstrate basic V&V concepts and …

Stormwater Alters The Resistome Of Urban Surface Water, An Impact That Can Be Mitigated By Green Stormwater Infrastructure, Kassidy N. O'Malley, Walter M. Mcdonald, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance poses an escalating threat to global health, with environmental reservoirs being pivotal areas of concern, as well as opportunities for potential mitigation. Stormwater systems are an important type of environmental reservoir in the urban water cycle with a dearth of research related to impacts on antibiotic resistance. In particular, there has been limited research exploring the impact of diverse antibiotic resistance genes (ARGs) carried by stormwater from various land uses on surface water, nor has there been an examination of the role played by green stormwater infrastructure (GSI) in mitigating this impact. Therefore, this study sought to elucidate …

Documents From The February 28, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the February 21, 2024 meeting of the Associated Students of the University of Montana (ASUM).

Documents From The October 9, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), Associated Students Of University Of Montana

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the October 9, 2024 meeting of the Associated Students of the University of Montana (ASUM).

The Effects Of Adding Palbociclib To Endocrine Therapy To Treat Advanced Breast Cancer: A Plain Language Summary Of A Study Using The Paloma-2 And Paloma-3 Trial Results, Reshma Mahtani

All Publications

No abstract provided.

‘Routines’ And ‘Formulaic Language’ In Conversation Analysis (Author's Extended Data), Danielle M. Pillet-Shore

Faculty Publications

Though the field of conversation analysis (CA) was founded upon examinations of interactional “routines” such as conversation openings and closings, conceptualizing and categorizing communicative phenomena as “formulaic” is anathema to CA. This chapter details how, since its inception, CA work has empirically elucidated how participants to recorded episodes of naturally occurring social interaction actively and collaboratively accomplish conversational activities as ‘routine’ or not by selecting from available action alternatives, spontaneously coordinating their selections vis-à-vis one another. Taking a multimodal CA approach, this chapter reviews state-of-the art literature on how people open and close in-person and telephone conversations, showing the immense …

The Lawlessness Of Sackett V. Epa, William W. Buzbee

Georgetown Law Faculty Publications and Other Works

When the Supreme Court speaks on a disputed statutory interpretation question, its words and edicts undoubtedly are the final judicial word, binding lower courts and the executive branch. Its majority opinions are the law. But the Court’s opinions can nonetheless be assessed for how well they hew to fundamental elements of respect for the rule of law. In particular, law-respecting versus law-neglecting or lawless judicial work by the Court can be assessed in the statutory interpretation, regulatory, and separation of power realms against the following key criteria, which in turn are based on some basic rule of law tenets: analysis …

Western Feminism Before And After October 7, Lama Abu-Odeh

Georgetown Law Faculty Publications and Other Works

In this interview, I provide my view on the state of Western feminism before and after the assault on Gaza. The interview includes discussion of the various strands of emergent feminisms in the West and some of their offshoots as they appear in Palestine in the context of Israeli colonialism and resistance to it.

Updating Senator Borah: A Nuclear Kellogg-Briand Pact, David A. Koplow

Georgetown Law Faculty Publications and Other Works

In recognizing the legacy of Senator William E. Borah, the author shares his remarks from the Borah Symposium at the University of Idaho, about the Senator's personality and character, his contribution and later characterization to international law and national security, specifically the 1928 Kellogg-Briand Pact, and finally, a proposal to a modern reincarnation to the Kellogg-Briand Pact and the newer threats of this era.

Large Constellations Of Small Satellites: The Good, The Bad, The Ugly, And The Illegal, David A. Koplow

Georgetown Law Faculty Publications and Other Works

The most exciting and far-reaching contemporary developments regarding human activities in outer space arise from the recent drastic reductions in the costs of building, launching, and operating satellites, and from the concomitant sudden emergence of large constellations of small, inexpensive, privately-owned spacecraft. These satellites--devoted to highly remunerative functions such as communications (bringing high-speed, affordable internet to underserved constituencies), remote sensing (facilitating land use planning, weather forecasting, and emergency search and rescue), and support for military operations (in Ukraine and elsewhere)--already number in the thousands and will soon reach the tens of thousands.

But in addition to generating billions of …

Brown Now: The Surprising Possibility Of Progressive Reform, Louis Michael Seidman

Georgetown Law Faculty Publications and Other Works

For four decades, the Supreme Court has engaged in a determined, systematic and successful effort to transform and tame Brown v. Board of Education. But in this article, written for a symposium on Brown at 70, I suggest a surprising counterweight to the standard narrative. If one takes modern doctrine seriously -- a big if, I concede-- it has the potential to support some progressive goals.

In particular, modern doctrine might provide progressives answers to three questions:

1. Are race-conscious but facially neutral means of increasing diversity at state institutions of higher education constitutional?
2. Are legacy admissions to state run institutions …

The Affordable Housing Crisis In New York City, Mexican Studies Institute Cuny, Hashim Abdul

Publications and Research

This paper examines the current housing crisis in The Bronx that worsened during and after the COVID pandemic. It examines social and economic factors that contribute to low home ownership and housing instability. Through a comparison with European models, the author concludes that solutions to alleviate the crisis may include rental price caps, increased Airbnb regulations and government “subsidization instead of profitability”.

Female Athletes With Better Psychological Readiness Are At Higher Risk For Second Acl Injury After Primary Acl Reconstruction, Ryan Zarzycki, Kathleen Cummer, Elanna Arhos, Matthew Failla, Jacob J. Capin, Angela H. Smith, Lynn Snyder-Mackler

Physical Therapy Faculty Research and Publications

Background: Approximately 1 in 4 athletes returning to sports will sustain a second anterior cruciate ligament (ACL) injury. Psychological factors related to kinesiophobia, confidence, and psychological readiness are associated with second ACL injury; however, the evidence is conflicting.

Hypothesis: Athletes who sustain a second ACL injury (ie, graft rupture or contralateral ACL rupture) within 2 years of ACL reconstruction (ACLR) would have greater kinesiophobia, less confidence, and lower psychological readiness prior to return to sport (RTS) compared with athletes who do not sustain a second ACL injury.

Study Design: Secondary analysis of a prospective randomized trial.

Level …

Activity Levels Across The Intensity Spectrum In Athletes: A Systematic Review Protocol, Jacob J. Capin, Jena Heck Street, Alissa V. Fial, Nicola D. Ridgers, Grant R. Tomkinson

Physical Therapy Faculty Research and Publications

Physical activity (PA) promotes better cardiometabolic health, physical function, brain health and longevity. In contrast, prolonged sedentary behaviour (SB) is a risk factor for many chronic diseases and poor health. Limited research has evaluated or synthesised how competitive sports participation influences PA across the lifespan. Some evidence suggests, ironically, that former competitive athletes may be insufficiently active and current athletes may be highly sedentary away from sport. This study describes the protocol for a systematic review and meta-analysis on activity levels across the intensity spectrum in athletes, addressing the primary research question: is sports participation significantly associated with PA and/or …

Age-Related Development Of Bilateral Coordination Of The Upper Limbs In Children And Adolescents, Samuel Nemanich, Sheila M. Schindler-Ivens

Physical Therapy Faculty Research and Publications

Bilateral coordination of the upper limbs (UL) is important for activities of daily living and physical activities. Motor coordination improves from childhood through adolescence. However, age-coordination trajectories for bilateral UL movements are not well-established, and it is unclear if bimanual coordination develops slower than unilateral coordination. In this study we examined age-related changes in UL coordination from childhood to late adolescence. Typically-developing children (N = 29, aged 7–17 years) performed unilateral and bilateral, antiphase cycling tasks with their ULs. Variations in cycling velocity and interlimb phase errors were computed as measures of coordination. Linear regression was used to examine …

Midlife Health Crisis Of Former Competitive Athletes: Dissecting Their Experiences Via Qualitative Study, Jacob J. Capin, Taylor Wolf, Jena Heck Street, Carolyn S. Smith, Shannon L. Lennon, William B. Farquhar, Sandra K. Hunter, Linda B. Piacentine

Physical Therapy Faculty Research and Publications

Sports participation confers many health benefits yet greatly increases injury risk. Long-term health outcomes in former athletes and transition to life after competitive sports are understudied. Ending a sport may pose physical and psychosocial challenges. The purpose was to determine the lived experiences of former competitive athletes and how their sports participation impacted their long-term health and well-being. Former college varsity athletes participated in semistructured interviews focusing on their experiences, including past and current health, the impact of injuries, activity, exercise, diet and transition to life after competitive sport. Thematic analysis was completed using a collaborative, iterative process. Thirty-one (16 …

The Effects Of Attentional Focus Instructions On Approach Jump Performance, Hanwen Liu, Scott Arnett, Dano Tolusso, Kaylee Woodard

Physical Therapy Faculty Research and Publications

Introduction

Attentional focus has been shown to significantly influence motor learning and performance, with external focus instructions enhancing performance compared to internal focus instructions. Research has also demonstrated that novice performance is improved when instructed to focus on skill execution processes rather than outcomes. However, this effect remains untested in complex jumping skills crucial to numerous sports.

Purpose

This study aimed to investigate the effect of internally and externally directed process and outcome focus instructions on approach jump height and approach speed in novice participants.

Methods

Twelve individuals aged 18 to 22 participated across three sessions: Familiarization, Test Session 1, …

The Sammons Center For Innovation And Research In Occupation-Based Technology

OJOT Sponsor Profiles

No abstract provided.