Digital Commons Network^™

Intra-Eu Investment Disputes And The Monopoly Over The Interpretation Of Eu Law, Petros C. Mavroidis, Frederico Ortino

Faculty Scholarship

Following a recent European Charter Treaty (“ECT”) decision, it appears that the fate of intra-EU investment disputes, when adjudicated in fora other than the Luxembourg courts, is finally all but sealed. In Green Power, an arbitration tribunal confirmed prior decisions taken in different jurisdictions that there is no room for adjudicating intra-EU investment disputes away from Luxembourg. This decision sided with the approach already developed by the Court of Justice of the European Union (“CJEU”) in three decisions, namely, Achmea, Komstroy, and PL Holdings, which in turn led to legislative action by the Energy Charter Treaty aiming to put an …

Mwirgan: Unsupervised Visible-To Mwir Image Translation With Generative Adversarial Network, Mohammad Shahab Uddin, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Unsupervised image-to-image translation techniques have been used in many applications, including visible-to-Long-Wave Infrared (visible-to-LWIR) image translation, but very few papers have explored visible-to-Mid-Wave Infrared (visible-to-MWIR) image translation. In this paper, we investigated unsupervised visible-to-MWIR image translation using generative adversarial networks (GANs). We proposed a new model named MWIRGAN for visible-to-MWIR image translation in a fully unsupervised manner. We utilized a perceptual loss to leverage shape identification and location changes of the objects in the translation. The experimental results showed that MWIRGAN was capable of visible-to-MWIR image translation while preserving the object’s shape with proper enhancement in the translated images and …

The Effect Of The Width Of The Incident Pulse To The Dielectric Transition Layer In The Scattering Of An Electromagnetic Pulse — A Qubit Lattice Algorithm Simulation, George Vahala, Linda Vahala, Abhay K. Ram, Min Soe

Electrical & Computer Engineering Faculty Publications

The effect of the thickness of the dielectric boundary layer that connects a material of refractive index n₁ to another of index n₂is considered for the propagation of an electromagnetic pulse. A qubit lattice algorithm (QLA), which consists of a specially chosen non-commuting sequence of collision and streaming operators acting on a basis set of qubits, is theoretically determined that recovers the Maxwell equations to second-order in a small parameter ϵ. For very thin boundary layer the scattering properties of the pulse mimics that found from the Fresnel jump conditions for a plane wave - except that …

View Synthesis With Scene Recognition For Cross-View Image Localization, Uddom Lee, Peng Jiang, Hongyi Wu, Chunsheng Xin

Electrical & Computer Engineering Faculty Publications

Image-based localization has been widely used for autonomous vehicles, robotics, augmented reality, etc., and this is carried out by matching a query image taken from a cell phone or vehicle dashcam to a large scale of geo-tagged reference images, such as satellite/aerial images or Google Street Views. However, the problem remains challenging due to the inconsistency between the query images and the large-scale reference datasets regarding various light and weather conditions. To tackle this issue, this work proposes a novel view synthesis framework equipped with deep generative models, which can merge the unique features from the outdated reference dataset with …

Security Of Internet Of Things (Iot) Using Federated Learning And Deep Learning — Recent Advancements, Issues And Prospects, Vinay Gugueoth, Sunitha Safavat, Sachin Shetty

Electrical & Computer Engineering Faculty Publications

There is a great demand for an efficient security framework which can secure IoT systems from potential adversarial attacks. However, it is challenging to design a suitable security model for IoT considering the dynamic and distributed nature of IoT. This motivates the researchers to focus more on investigating the role of machine learning (ML) in the designing of security models. A brief analysis of different ML algorithms for IoT security is discussed along with the advantages and limitations of ML algorithms. Existing studies state that ML algorithms suffer from the problem of high computational overhead and risk of privacy leakage. …

Toward Real-Time, Robust Wearable Sensor Fall Detection Using Deep Learning Methods: A Feasibility Study, Haben Yhdego, Christopher Paolini, Michel Audette

Electrical & Computer Engineering Faculty Publications

Real-time fall detection using a wearable sensor remains a challenging problem due to high gait variability. Furthermore, finding the type of sensor to use and the optimal location of the sensors are also essential factors for real-time fall-detection systems. This work presents real-time fall-detection methods using deep learning models. Early detection of falls, followed by pneumatic protection, is one of the most effective means of ensuring the safety of the elderly. First, we developed and compared different data-segmentation techniques for sliding windows. Next, we implemented various techniques to balance the datasets because collecting fall datasets in the real-time setting has …

Deep-Learning-Based Classification Of Digitally Modulated Signals Using Capsule Networks And Cyclic Cumulants, John A. Snoap, Dimitrie C. Popescu, James A. Latshaw, Chad M. Spooner

Electrical & Computer Engineering Faculty Publications

This paper presents a novel deep-learning (DL)-based approach for classifying digitally modulated signals, which involves the use of capsule networks (CAPs) together with the cyclic cumulant (CC) features of the signals. These were blindly estimated using cyclostationary signal processing (CSP) and were then input into the CAP for training and classification. The classification performance and the generalization abilities of the proposed approach were tested using two distinct datasets that contained the same types of digitally modulated signals, but had distinct generation parameters. The results showed that the classification of digitally modulated signals using CAPs and CCs proposed in the paper …

Continuity Of Formal Power Series Products In Nonlinear Control Theory, W. Steven Gray, Mathias Palmstrøm, Alexander Schmeding

Electrical & Computer Engineering Faculty Publications

Formal power series products appear in nonlinear control theory when systems modeled by Chen–Fliess series are interconnected to form new systems. In fields like adaptive control and learning systems, the coefficients of these formal power series are estimated sequentially with real-time data. The main goal is to prove the continuity and analyticity of such products with respect to several natural (locally convex) topologies on spaces of locally convergent formal power series in order to establish foundational properties behind these technologies. In addition, it is shown that a transformation group central to describing the output feedback connection is in fact an …

A Survey Of Using Machine Learning In Iot Security And The Challenges Faced By Researchers, Khawlah M. Harahsheh, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

The Internet of Things (IoT) has become more popular in the last 15 years as it has significantly improved and gained control in multiple fields. We are nowadays surrounded by billions of IoT devices that directly integrate with our lives, some of them are at the center of our homes, and others control sensitive data such as military fields, healthcare, and datacenters, among others. This popularity makes factories and companies compete to produce and develop many types of those devices without caring about how secure they are. On the other hand, IoT is considered a good insecure environment for cyber …

A Review Of Iot Security And Privacy Using Decentralized Blockchain Techniques, Vinay Gugueoth, Sunitha Safavat, Sachin Shetty, Danda Rawat

Electrical & Computer Engineering Faculty Publications

IoT security is one of the prominent issues that has gained significant attention among the researchers in recent times. The recent advancements in IoT introduces various critical security issues and increases the risk of privacy leakage of IoT data. Implementation of Blockchain can be a potential solution for the security issues in IoT. This review deeply investigates the security threats and issues in IoT which deteriorates the effectiveness of IoT systems. This paper presents a perceptible description of the security threats, Blockchain based solutions, security characteristics and challenges introduced during the integration of Blockchain with IoT. An analysis of different …

Comparison Of Machine Learning Methods For Classification Of Alexithymia In Individuals With And Without Autism From Eye-Tracking Data, Furkan Iigin, Megan A. Witherow, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Alexithymia describes a psychological state where individuals struggle with feeling and expressing their emotions. Individuals with alexithymia may also have a more difficult time understanding the emotions of others and may express atypical attention to the eyes when recognizing emotions. This is known to affect individuals with Autism Spectrum Disorder (ASD) differently than neurotypical (NT) individuals. Using a public data set of eye-tracking data from seventy individuals with and without autism who have been assessed for alexithymia, we train multiple traditional machine learning models for alexithymia classification including support vector machines, logistic regression, decision trees, random forest, and multilayer perceptron. …

Implications Of Cyberbiosecurity In Advanced Agriculture, Simone Stephen, Keitavius Alexander, Lucas Potter, Xavier-Lewis Palmer

Electrical & Computer Engineering Faculty Publications

The world is currently undergoing a rapid digital transformation sometimes referred to as the fourth industrial revolution. During this transformation, it is increasingly clear that many scientific fields are not prepared for this change. One specific area is agriculture. As the sector which creates global food supply, this critical infrastructure requires detailed assessment and research via newly developed technologies (Millett et al, 2019; Peccoud et al, 2018) . Despite its fundamental significance to modern civilization, many aspects of industrial agriculture have not yet adapted to the digital world. This is evident in the many vulnerabilities currently present within agricultural systems, …

A Reflection Of Typology And Verification Flaws In Consideration Of Biocybersecurity/Cyberbiosecurity: Just Another Gap In The Wall, Luke Potter, Kim Mossberg, Xavier Palmer

Electrical & Computer Engineering Faculty Publications

Verification is central to any process in a functional and enduring cyber-secure organization. This verification is how the validity or accuracy of a state of being is assessed (Schlick, 1936; Balci, 1998). Conversely, breakdown in verification procedures is core to the interruption of normal operations for an organization. A key problem for organizations that utilize biology as an interlock within their systems is that personnel lack sufficient ability to verify all practically relevant biological information for procedures such as a nurse logging a blood draw, or a molecular biology technician preparing agar to culture microbes for study. This has several …

Conceptualizing Socio-Emotional Disablism: A Duoethnography Of Crohn’S Disease And Ocd During Covid-19, Kristen L. Cole, Brandi Lawless

Faculty Research, Scholarly, and Creative Activity

We utilize duoethnography to help readers better understand the constitutive nature of disability in the contexts of chronic illness and mental health. By doing so, we articulate the concept of socio-emotional disablism, which expands structural and psycho-emotional theories of disablism to account for the ways socio-material interactions trigger emotion-work—the communicative labor and fatigue that accompanies negotiating our own emotions as well as the emotions of others in disabling contexts—thus limiting relational and ideological engagement with disability. We conclude by discussing what the concept of socio-emotional disablism teaches us about how to build more inclusive social futures through deeper interpersonal engagement …

Learning From The First Citizen Science Association Virtual Conference, Abigail Hils, Skye Kelty, Angel Hjarding, Linda Silka, Alison Cawood

Faculty Research, Scholarly, and Creative Activity

The Citizen Science Association (CSA) is a member-driven organization that connects people with interest in community/citizen science (c*science) from a wide range of backgrounds, disciplines, and experiences. In response to the COVID-19 pandemic, the bi-annual CSA conference pivoted away from an in-person format to a virtual format. CitSciVirtual: Local, Global, Connected occurred throughout May 2021 and brought together more than 700 attendees from 36 countries. The conference prioritized interactive experiences for attendees, including 16 collaborative poster sessions featuring 240 virtual posters, 55 workshops to learn and practice new skills, and 7 social events. This paper summarizes the impacts of the …

Network Anatomy In Logopenic Variant Of Primary Progressive Aphasia, Maria Luisa Mandelli, Diego L. Lorca-Puls, Sladjana Lukic, Maxime Montembeault, Andrea Gajardo-Vidal, Abigail Licata, Aaron Scheffler, Giovanni Battistella, Stephanie M. Grasso, Rian Bogley, Buddhika M. Ratnasiri, Renaud La Joie, Nidhi S. Mundada, Eduardo Europa, Gil Rabinovici, Bruce L. Miller, Jessica De Leon, Maya L. Henry, Zachary Miller, Maria Luisa Gorno-Tempini

Faculty Research, Scholarly, and Creative Activity

The logopenic variant of primary progressive aphasia (lvPPA) is a neurodegenerative syndrome characterized linguistically by gradual loss of repetition and naming skills resulting from left posterior temporal and inferior parietal atrophy. Here, we sought to identify which specific cortical loci are initially targeted by the disease (epicenters) and investigate whether atrophy spreads through predetermined networks. First, we used cross-sectional structural MRI data from individuals with lvPPA to define putative disease epicenters using a surface-based approach paired with an anatomically fine-grained parcellation of the cortical surface (i.e., HCP-MMP1.0 atlas). Second, we combined cross-sectional functional MRI data from healthy controls and longitudinal …

Maximizing External Action With Information Provision Over Multiple Rounds In Online Social Networks, Masaaki Miyashita, Norihiko Shinomiya, Daisuke Kasamatsu, Genya Ishigaki

Faculty Research, Scholarly, and Creative Activity

Online social networks have increased their impact on the real world, which motivates information senders to control the propagation process of information to promote particular actions of online users. However, the existing works on information provisioning seem to oversimplify the users? decision-making process that involves information reception, internal actions of social networks, and external actions of social networks. In particular, characterizing the best practices of information provisioning that promotes the users? external actions is a complex task due to the complexity of the propagation process in OSNs, even when the variation of information is limited. Therefore, we propose a new …

Ordinary Meaning And Ordinary People, Kevin Tobia, Brian G. Slocum, Victoria Frances Nourse

Georgetown Law Faculty Publications and Other Works

This Article considers the relationship between ordinary meaning and ordinary people in legal interpretation. Many jurists give interpretive weight to the law's ordinary meaning (i.e., general, nontechnical meaning). Modern textualists adopt a strong commitment to ordinary meaning and justify it by alluding to ordinary people: people understand law to communicate ordinary meanings. This Article begins from this textualist premise and empirically examines the meaning that legal texts communicate to the public. Five original empirical studies reveal that ordinary people consider genre carefully, and regularly take phrases in law to communicate technical legal meanings, not only ordinary ones. Building on the …

Gender Mainstreaming In Trade Agreements: "A Potemkin Façade"?, Katrin Kuhlmann, Amrita Bahri

Georgetown Law Faculty Publications and Other Works

The distributional outcomes of trade agreements have historically been uneven, creating both “losers” as well as “winners” and benefitting certain stakeholders while leaving others without benefits or even with negative repercussions. In particular, distributional outcomes can vary between women and men, since they play different roles in society, markets, and economies, and they enjoy different opportunities as well. At times, and sometimes by their very nature, trade agreements can restrict opportunities for women and further increase the gender divide. But in recent years, there has been a drastic upsurge in the number of countries that are incorporating commitments on gender …

Race And Entrepreneurship: Reclaiming Narratives, Priya Baskaran, Alicia E. Plerhoples

Georgetown Law Faculty Publications and Other Works

This essay makes the case for engaging in counter-narratives and inclusive storytelling within the transactional clinic curriculum. The authors leverage lessons from Critical Race Theory to amplify the voices and experiences of underrepresented entrepreneurs and marginalized communities in both clinic seminar and selected casework. In doing so, we challenge hegemonic narratives of entrepreneurship and expose our law students to the presence and impact of interlocking systems of subordination that minimize the existence and contributions of entrepreneurs of color. We challenge our law students and ourselves to become more creative and thoughtful lawyers to a more inclusive and diverse set of …

Executive Branch Control Of Federal Grants: Policy, Pork, And Punishment, Eloise Pasachoff

Georgetown Law Faculty Publications and Other Works

High-profile controversies in each of the last several administrations have involved the extent of Executive Branch control over federal grants. These challenges were particularly pronounced during the Trump Administration, when it seemed that each month brought a new grant-related controversy, from the opening week’s attempts to withhold funding from sanctuary cities to the last months’ effort to deny funding to “anarchist” jurisdictions. The aftermath of the Trump Administration thus provides an important opportunity to assess the bounds of Executive Branch control over federal grants writ large. In doing so, this Article makes three contributions. First, as a descriptive matter, it …

Martyrdom And Criminal Defense, Abbe Smith

Georgetown Law Faculty Publications and Other Works

According to research on the emotional well-being of lawyers, public defenders may be among the happiest. This comports with my own anecdotal experience as a teacher and mentor of law students and post-graduate fellows interested in criminal defense, many of whom are now career defenders. They may be deeply frustrated by the system in which they work, but they are happy to do what they can to make a difference for their clients. They also adore their defender colleagues. My former students and fellows in large law firms don’t seem quite as happy.

Notwithstanding the data, there seems to be …

Problems With Authority, Amy J. Griffin

Georgetown Law Faculty Publications and Other Works

Judicial decisionmaking rests on a foundation of unwritten rules—those that govern the weight of authority. Such rules, including the cornerstone principle of stare decisis, are created informally through the internal social practices of the judiciary. Despite the central role of such rules in judicial decisionmaking, we lack a good account of how they are created, revised, and enforced. There is something paradoxical and troubling about the notion that the rules of the game are determined by the players as they play the game according to those rules. Because weight-of-authority rules are largely informal and almost entirely unwritten, we don’t even …

The 2022 Utah College Sexual Behavior Survey: Initial Findings Report, Cris Meier, Julie Gast, Susannah Harris, Melissa Ferguson, Brittany Hansen, Moni Butte

All Current Publications

Purpose: The purpose of the 2022 Utah College Sexual Behavior Survey project was to use retrospective sexual behavior and education measures to gain a better understanding of the sexual behaviors and perceptions of sex education of Utah youth by asking students aged 18-21 years old about their sexual behaviors as youth.

Measures: The survey questions represented ten topical areas. These areas included questions about: basic demographics; non-penetrative sex; penetrative sex; contraceptive use and pregnancy and sexually transmitted infection (STI) prevention; communication and consent; sexting; sex education; attitudes about sex; current sex behavior; and university programming.

Method: A one-time survey was …

Employing The Houseless As Corporate Social Responsibility, Nicholas A. Smith, Larry R. Martinez, Shi (Tracy) Xu, Anna Mattila, Lisa Yixing Gao

Psychology Faculty Publications and Presentations

Purpose

Many hospitality organizations see the benefits of engaging in corporate social responsibility (CSR), which can take many forms. This study aims to examine one relatively unique form of CSR: hiring individuals experiencing houselessness. This research aimed to investigate the impact of hiring individuals experiencing houselessness on customers’ behavioral intentions, attitudes toward an organization and perceptions of CSR actions.

Design/methodology/approach

Across two experiments, this study investigated the impact of employing individuals experiencing houselessness on customers’ perceptions of the employee and organization using organizational legitimacy theory.

Findings

Results demonstrate that employees known to be houseless elicited more positive employee and organizational …

The Daily Association Between Affect And Alcohol Use: A Meta-Analysis Of Individual Participant Data, Jonas Dora, Marilyn Piccirillo, Kelly Arbeau, Stephen Armeli, Marc Auriacombe, Bruce Bartholow, Adriene M. Beltz, Shari M. Blumenstock, Cynthia Mohr, Multiple Additional Authors

Psychology Faculty Publications and Presentations

Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not …

Science Communication As A Collective Intelligence Endeavour: A Manifesto And Examples For Implementation, Maria Petrescu

Publications

Effective science communication is challenging when scientific messages are informed by a continually updating evidence base and must often compete against misinformation. We argue for the need for a new programme of science communication as collective intelligence—a collaborative approach, supported by technology. This would have four key advantages over the typical model where scientists communicate as individuals: scientific messages would be informed by (1) a wider base of aggregated knowledge, (2) contributions from a diverse scientific community, (3) participatory input from stakeholders, and (4) better responsiveness to ongoing changes in the state of knowledge.

Impact Of Gastrointestinal Polymerase Chain Reaction Panels On Antibiotic Utilization In Hospitalized Adult Patients, Gillean A Kelly, Roumen Iordanov, Alex Franklin, Amna Ahmed, Krithika Srinivasan, Jesica Hayon, Todd Lasco, Rosie Amini, Sabra Shay, Prathit A Kulkarni, Mayar Al Mohajer

Faculty, Staff and Students Publications

Multiplex stool polymerase chain reaction (PCR) panels offer rapid comprehensive testing for patients with infectious diarrhea. We compared antibiotic utilization among hospitalized patients with suspected infectious diarrhea who underwent diagnostic testing with either a stool culture or stool PCR panel. No significant differences in antibiotic utilization were identified.

Regulation, Targets And Functions Of Csk., Shudong Zhu, Hui Wang, Kamakshi Ranjan, Dianzheng Zhang

PCOM Scholarly Works

The Src family kinases (SFK) plays an important role in multiple signal transduction pathways. Aberrant activation of SFKs leads to diseases such as cancer, blood disorders, and bone pathologies. By phosphorylating and inactivating SFKs, the C-terminal Src kinase (CSK) serves as the key negative regulator of SFKs. Similar to Src, CSK is composed of SH3, SH2, and a catalytic kinase domain. However, while the Src kinase domain is intrinsically active, the CSK kinase domain is intrinsically inactive. Multiple lines of evidence indicate that CSK is involved in various physiological processes including DNA repair, permeability of intestinal epithelial cells (IECs), synaptic …

Using Wearable Technology To Quantify Physical Activity Recovery: Secondary Report From The After (App-Facilitated Tele-Rehabilitation) Program For Covid-19 Survivors Randomized Study, Laura Churchill, Mary Morrow, Jacob J. Capin, Sarah Jolley, Kristine Hare, Samantha Mawhinney, Jennifer E. Stevens-Lapsley, Kristine M. Erlandson

Physical Therapy Faculty Research and Publications

Background: Knowledge on physical activity recovery after COVID-19 survival is limited. The AFTER (App-Facilitated Tele-Rehabilitation) program for COVID-19 survivors randomized participants, following hospital discharge, to either education and unstructured physical activity or a telerehabilitation program. Step count data were collected as a secondary outcome, and we found no significant differences in total step count trajectories between groups at 6 weeks. Further step count data were not analyzed.

Objective: The purpose of this analysis was to examine step count trajectories and correlates among all participants (combined into a single group) across the 12-week study period.

Methods: Linear mixed …