Digital Commons Network^™

Cerebellar Dysfunction In Rodent Models With Dystonia, Tremor, And Ataxia, Meike E Van Der Heijden, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Dystonia is a movement disorder characterized by involuntary co- or over-contractions of the muscles, which results in abnormal postures and movements. These symptoms arise from the pathophysiology of a brain-wide dystonia network. There is mounting evidence suggesting that the cerebellum is a central node in this network. For example, manipulations that target the cerebellum cause dystonic symptoms in mice, and cerebellar neuromodulation reduces these symptoms. Although numerous findings provide insight into dystonia pathophysiology, they also raise further questions. Namely, how does cerebellar pathophysiology cause the diverse motor abnormalities in dystonia, tremor, and ataxia? Here, we describe recent work in rodents …

Social Behavioral Impairments In Syngap1-Related Intellectual Disability, Hajer Naveed, Maria Mccormack, J Lloyd Holder

Duncan NRI Faculty and Staff Publications

Introduction: Developmental synaptopathies are neurodevelopmental disorders caused by genetic mutations disrupting the development and function of neuronal synapses.

Methods: We administered the validated Social Responsiveness Scale, Second Edition (SRS-2) to investigate the phenotypic presentation of social-behavioral impairments for the developmental synaptopathy-SYNGAP1-related Intellectual Disability (SYNGAP1-ID) (n = 32) compared with a phenotypically similar disorder Phelan-McDermid syndrome (PMD) (n = 27) and healthy controls (n = 43). A short form SRS-2 analysis (n = 85) was also conducted.

Results: Both SYNGAP1-ID and PMD had significantly elevated total and subcategory T-scores, with no significant score differences between SYNGAP1 …

Validation Of A Process For Shared Decision-Making In Pediatrics, Douglas J Opel, Holly Hoa Vo, Nicolas Dundas, Heather Spielvogle, Amanda Mercer, Benjamin S Wilfond, Jonna Clark, Carrie L Heike, Elliott M Weiss, Mersine A Bryan, Seema K Shah, Carolyn A Mccarty, Jeffrey D Robinson, Jennifer Blumenthal-Barby, Jon Tilburt

Center for Medical Ethics and Health Policy Staff Publications

OBJECTIVE: We sought to confirm, refute, or modify a 4-step process for implementing shared decision-making (SDM) in pediatrics that involves determining 1) if the decision includes >1 medically reasonable option; 2) if one option has a favorable medical benefit-burden ratio compared to other options; and 3) parents' preferences regarding the options; then 4) calibrating the SDM approach based on other relevant decision characteristics.

METHODS: We videotaped a purposive sample of pediatric inpatient and outpatient encounters at a single US children's hospital. Clinicians from 7 clinical services (craniofacial, neonatology, oncology, pulmonary, pediatric intensive care, hospital medicine, and sports medicine) were eligible. …

Policy Options To Facilitate Cancer Genomic Variant Data Sharing: Outcomes Of A Modified Policy Delphi, Jill O Robinson, Amira Daoud, Janis Geary, Vasiliki Rahimzadeh, Juli Bollinger, Christi J Guerrini, Robert Cook-Deegan, Amy L Mcguire, Mary A Majumder

Center for Medical Ethics and Health Policy Staff Publications

Sharing cancer gene variant and relevant clinical data could accelerate progress in cancer genomics. However, data sharing is currently impeded by issues related to financial sustainability, equity, incentives, privacy and security, and data quality. Evidence-based policy options to facilitate data sharing in these domains, and ultimately improve interpretation of cancer-associated genomic variants, are therefore needed. We conducted a modified policy Delphi with expert stakeholders that involved generating, evaluating, and ranking potential policy options to address these issues, with a focus on the US context. We found policy options in the financial sustainability domain were highly ranked, particularly stable funding for …

Researcher Views On Changes In Personality, Mood, And Behavior In Next-Generation Deep Brain Stimulation, Peter Zuk, Clarissa E Sanchez, Kristin Kostick-Quenet, Katrina A Muñoz, Lavina Kalwani, Richa Lavingia, Laura Torgerson, Demetrio Sierra-Mercado, Jill O Robinson, Stacey Pereira, Simon Outram, Barbara A Koenig, Amy L Mcguire, Gabriel Lázaro-Muñoz

Center for Medical Ethics and Health Policy Staff Publications

The literature on deep brain stimulation (DBS) and adaptive DBS (aDBS) raises concerns that these technologies may affect personality, mood, and behavior. We conducted semi-structured interviews with researchers (

The Moralizing Effect: Self-Directed Emotions And Their Impact On Culpability Attributions, Elisabetta Sirgiovanni, Joanna Smolenski, Ben Abelson, Taylor Webb

Center for Medical Ethics and Health Policy Staff Publications

Introduction: A general trend in the psychological literature suggests that guilt contributes to morality more than shame does. Unlike shame-prone individuals, guilt-prone individuals internalize the causality of negative events, attribute responsibility in the first person, and engage in responsible behavior. However, it is not known how guilt- and shame-proneness interact with the attribution of responsibility to others.

Methods: In two Web-based experiments, participants reported their attributions of moral culpability (i.e., responsibility, causality, punishment and decision-making) about morally ambiguous acts of killing in different conditions. In Study 1 the vignettes were presented in the 1st person, while in Study 2 in …

Acoustic-To-Articulatory Speech Inversion Features For Mispronunciation Detection Of/ɹ/In Child Speech Sound Disorders, Nina R. Benway, Yashish M. Siriwardena, Jonathan L. Preston, Elaine Hitchcock, Tara Mcallister, Carol Espy-Wilson

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Acoustic-to-articulatory speech inversion could enhance automated clinical mispronunciation detection to provide detailed articulatory feedback unattainable by formant-based mispronunciation detection algorithms; however, it is unclear the extent to which a speech inversion system trained on adult speech performs in the context of (1) child and (2) clinical speech. In the absence of an articulatory dataset in children with rhotic speech sound disorders, we show that classifiers trained on tract variables from acoustic-to-articulatory speech inversion meet or exceed the performance of state-of-the-art features when predicting clinician judgment of rhoticity.

Calvin Theological Seminary Academic Catalog 2023-2024, Calvin Theological Seminary

Seminary Academic Catalogs

No abstract provided.

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 …

Advanced Photon Counting Ct Imaging Pipeline For Cardiac Phenotyping Of Apolipoprotein E Mouse Models, Alex J Allphin, Ali Mahzarnia, Darin P Clark, Yi Qi, Zay Y Han, Prajwal Bhandari, Ketan B Ghaghada, Alexandra Badea, Cristian T Badea

Faculty, Staff and Students Publications

Background: Cardiovascular disease (CVD) is associated with the apolipoprotein E (APOE) gene and lipid metabolism. This study aimed to develop an imaging-based pipeline to comprehensively assess cardiac structure and function in mouse models expressing different APOE genotypes using photon-counting computed tomography (PCCT).

Methods: 123 mice grouped based on APOE genotype (APOE2, APOE3, APOE4, APOE knockout (KO)), gender, human NOS2 factor, and diet (control or high fat) were used in this study. The pipeline included PCCT imaging on a custom-built system with contrast-enhanced in vivo imaging and intrinsic cardiac gating, spectral and temporal iterative reconstruction, spectral decomposition, and deep learning cardiac …

Mofx-Db: An Online Database Of Computational Adsorption Data For Nanoporous Materials, N. Scott Bobbitt, Kaihang Shi, Benjamin J. Bucior, Haoyuan Chen, Nathaniel Tracy-Amoroso, Zhao Li

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Machine learning and data mining coupled with molecular modeling have become powerful tools for materials discovery. Metal–organic frameworks (MOFs) are a rich area for this due to their modular construction and numerous applications. Here, we make data from several previous large-scale studies in MOFs and zeolites from our groups (and new data for N2 and Ar adsorption in MOFs) easily accessible in one place. The database includes over three million simulated adsorption data points for H2, CH4, CO2, Xe, Kr, Ar, and N2 in over 160 000 MOFs and 286 zeolites, textural properties like pore sizes and surface areas, and …

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 …

Diabetic Retinopathy And The Role Of Vegf, Aishwarya Gatiganti, Laura Valdez, Andrew Tsin Ph.D.

School of Medicine Publications

Diabetic retinopathy (DR) is the leading cause of blindness in the working-age population. It works by disrupting the neural and vascular components in the retina and leads to loss of neural interaction/function, vascular permeability, and angiogenesis. It can be classified into two general stages: non-proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). DR can also lead to vascular leakage and cause diabetic macular edema (DME), the most common cause of vision loss in DR (Duh, Sun et al. 2017). There are currently a wide range of therapies, but they are limited in their efficacy and side effects. None of …

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 …

The Who’S 75th Anniversary: Who At A Pivotal Moment In History, Lawrence O. Gostin, Danwood Mzikenge Chirwa, Helen Clark, Roojin Habibi, Björn Kümmel, Jemilah Mahmood, Benjamin Mason Meier, Winnie Mpanju-Shumbusho, K. Srinath Reddy, Attiya Waris, Miriam Were

Georgetown Law Faculty Publications and Other Works

The World Health Organisation (WHO) was inaugurated in 1948 to bring the world together to ensure the highest attainable standard of health for all. Establishing health governance under the United Nations (UN), WHO was seen as the preeminent leader in public health, promoting a healthier world following the destruction of World War II and ensuring global solidarity to prevent disease and promote health. Its constitutional function would be ‘to act as the directing and coordinating authority on international health work’. Yet today, as the world commemorates WHO’s 75th anniversary, it faces a historic global health crisis, with governments presenting challenges …