Digital Commons Network^™

Toward A Biological Definition Of Neuronal And Glial Synucleinopathies, Claudio Soto, Brit Mollenhauer, Oskar Hansson, Un Jung Kang, Roy N Alcalay, David Standaert, Claudia Trenkwalder, Kenneth Marek, Douglas Galasko, Kathleen Poston

Faculty, Staff and Student Publications

Cerebral accumulation of alpha-synuclein (αSyn) aggregates is the hallmark event in a group of neurodegenerative diseases-collectively called synucleinopathies-which include Parkinson's disease, dementia with Lewy bodies and multiple system atrophy. Currently, these are diagnosed by their clinical symptoms and definitively confirmed postmortem by the presence of αSyn deposits in the brain. Here, we summarize the drawbacks of the current clinical definition of synucleinopathies and outline the rationale for moving toward an earlier, biology-anchored definition of these disorders, with or without the presence of clinical symptoms. We underscore the utility of the αSyn seed amplification assay to detect aggregated αSyn in living …

Phase Ii Study Of Copanlisib In Patients With Pten Loss: Results From Nci-Match Ecog-Acrin Trial (Eay131) Subprotocols Z1g And Z1h, Mohamed A Gouda, Zihan Wei, Jordi Rodon, Michael A Davies, Filip Janku, Robert J Gray, Victoria Wang, Lisa M Mcshane, Larry V Rubinstein, David R Patton, P Mickey Williams, Stanley R Hamilton, Raymond Liu, Daniela A Bota, Paul L Swiecicki, Gary L Buchschacher, James V Tricoli, Barbara A Conley, Carlos L Arteaga, Lyndsay N Harris, Peter J O'Dwyer, Alice P Chen, Keith T Flaherty

Faculty, Staff and Student Publications

Purpose: Copanlisib, a pan-class phosphatidylinositol 3-kinase (PI3K) inhibitor with activity predominantly against the PI3K-delta and PI3K-alpha isoforms, has shown promising results in preclinical cancer models with PTEN loss. Herein, we report the activity and safety data from the Z1G and Z1H subprotocols, which included patients with PTEN loss, of the National Cancer Institute Molecular Analysis for Therapy Choice trial.

Methods: Patients with complete loss of cytoplasmic and nuclear PTEN as determined by immunohistochemistry regardless of PTEN mutation or deletion status were included in subprotocol Z1G, and patients with a deleterious mutation in the PTEN gene and retained expression of PTEN …

Outcomes Of Patients With Treated Secondary Acute Myeloid Leukemia: A High-Risk Subtype That Warrants An Independent Prognostic Designation, Jayastu Senapati, Hagop M Kantarjian, Fadi G Haddad, Nicholas J Short, Gautam Borthakur, Rashmi Kanagal-Shamanna, Guilin Tang, Elias Jabbour, Courtney D Dinardo, Naval Daver, Guillermo Montalban-Bravo, Vishrut Shah, Amin Alousi, Elizabeth Shpall, Uday Popat, Guillermo Garcia-Manero, Farhad Ravandi, Tapan M Kadia

Faculty, Staff and Student Publications

Patients who develop acute myeloid leukemia (AML) after having received treatment for myelodysplastic syndrome (MDS) or related conditions have particularly poor outcomes. This study analyzed adult patients with newly diagnosed AML who previously had MDS, chronic myelomonocytic leukemia (CMML), or MDS/myeloproliferative neoplasm (MPN) overlap syndrome, and who had received hypomethylating agents, chemotherapy, and/or allogeneic stem cell transplantation (HSCT) for these antecedent disorders. From January 2012 to August 2023, we included 673 patients with a median age of 70 years (range, 19-94); 536 (80%) had transformed from MDS, and the remainder from CMML or MDS-MPN. Additionally, 149 patients (22%) had prior …

Revisiting Reasonable Cybersecurity, Jeffrey L. Vagle

Cardozo Law Review

Prospective theories of cybersecurity liability have traveled over some well-worn paths over the past three decades, resulting in some successes, but also in at least as many cul-de-sacs and dead ends. Part of this problem can be found in the difficulty and complexity of the subject itself. Courts, legislators, and regulators all face comprehension difficulties when they attempt to fit our existing legal system around cybersecurity, often resulting in half-measures and generalized solutions that are challenging to apply to the widely different technical details behind each case. And in the background, we have a general reluctance to create legal regimes …

Cultural Consensus Modeling To Identify Culturally Relevant Reasons For And Against Suicide Among Black Adolescents, Ryan M Hill, Danielle Busby, Jennifer L Brown, Eric Sumlin, Estefania Fernandez, Carla Sharp

Faculty, Staff and Student Publications

Introduction: The development of evidence-based treatments relies on accurate theoretical frameworks sensitive to the lived realities of the populations from which they are derived. Yet, the perspectives of Black youth are vastly underrepresented in extant theories of suicidal behavior. Cultural Consensus Modeling provides an evidence-based approach for developing a culturally informed understanding of suicide risk among Black youth.

Method: Participants were 50 Black adolescents (Mage = 16.20 years; 76.0% male) who completed Phase 1 of a Cultural Consensus Modeling study. Participants freely listed reasons for suicide and reasons for living among similar peer Black youth. Responses were synthesized and coded …

Exploring Reciprocal Links Between Early Adolescent Coping And Internalizing Symptoms, Caitlyn Mytelka, Sarah C Narendorf, Elizabeth Baumler, Chiara Acquati, Jeff R Temple

Faculty, Staff and Student Publications

Introduction: The rising prevalence of depression and anxiety among adolescents is a public health concern. Early adolescence is a key developmental period to reduce risks for internalizing symptoms through primary prevention programs, yet additional research is needed on modifiable factors, such as coping skills, to target to mitigate risk factors. Therefore, we investigated the reciprocal link between coping style and internalizing symptoms among a racially/ethnically diverse sample of early adolescents (n = 1273) from 12 middle schools over 1 year.

Methods: We leveraged a longitudinal data set of a cluster, randomized trial of a preventive intervention from 12 middle schools …

The Role Of Childhood Stress In Inflammatory Skin Conditions: A Neuroimmune Investigation, Marissa Ruppe, Colin Burnette, Emily Deehan, Emily Woolhiser, Haily A. Fritts, Kelly Frasier, Aspynn Owsley, Savannah K. Fakhouri, Veronica Rodriguez

Student Publications

Emerging evidence indicates that childhood stressors, such as familial conflict, bullying, academic pressure, and traumatic events, can significantly worsen inflammatory skin conditions like atopic dermatitis (AD) and psoriasis. This review explores the underlying neuroimmune pathways that link stress to skin inflammation in children, focusing on the role of the hypothalamic-pituitary-adrenal (HPA) axis and stress-induced cytokine production. Studies have shown that chronic psychological stress leads to dysregulation of the HPA axis, resulting in elevated cortisol levels, which paradoxically impair skin barrier function and upregulate pro-inflammatory cytokines such as IL-6, TNF-α, and IL-1β. Specific stressors, such as bullying, have been associated with …

Critical Picture Book Literacy, Caitlin Stewart, Heather Koopmans

Faculty and Staff Publications – Milner Library

This study sought to revisit established definitions of critical visual literacy and determine how this concept could be re-envisioned specifically for picture books when informed by the approaches of teacher education students who had received limited prior formal instruction on critiquing visual texts. Seventeen sophomore elementary education students engaged in written self-discourse around the visual narrative of Milo Imagines the World written by Matt de la Peña and illustrated by Christian Robinson where they generated questions and answers critically engaging with the visuals. These participants’ responses underwent thematic analysis informed by grounded theory which uncovered a collective definition for critical …

Predictors Of Bi-Directional Transitions From Mild Cognitive Impairment In A Diverse Cohort, Mitzi M. Gonzales, Roman Fernandez, Sarah Kremen, Zaldy S. Tan, Amy E. Werry, Xueqiu Jian, John Hart, Donald Royall, Gladys Maestre, Sara Espinoza

School of Medicine Publications

Trajectories following a diagnosis of mild cognitive impairment (MCI) are varied and may fluctuate over time. Among diverse ethnic and racial groups, social factors, medical comorbidities, and biases in assessment procedures may contribute to greater heterogeneity in the MCI diagnostic category and affect its prognostic significance for dementia. The study goal was to evaluate the frequency and variables associated with MCI transitions among non-Hispanic White (NHW) and Latinx older adults. Multistate Markov models characterized transitions across diagnostic states (cognitively unimpaired (CU), MCI, dementia) over ten years. Variables associated with transitions were assessed using hazard ratios (HR) and 95% confidence intervals …

Approaches To Post-Tsunami Coastal Reconstruction: Comparisons Across Indonesia, Thailand, And Japan, Alison Raby, A Pomonis, Anawat Suppasri, Keith Adams, Nurullah Açikgoz, Marco Baiguera, Yunita Idris, Panon Latcharote, Francesca Marafini, David Mcgovern, Ella Meilianda, Harsh Mistry, Sukiman Nurdin, Eyitayo Opabola, Teraphan Ornthammarath, Nattapon Trumikaborworn, Tiziana Rossetto

School of Engineering, Computing and Mathematics

Natural hazards pose significant challenges to affected communities worldwide, yet there remains a lack of comprehensive studies comparing recovery efforts across different countries and cultures. This study addresses the gap by investigating the impact of three devastating tsunami events on four distinct locations: Banda Aceh (Sumatra, Indonesia) and Southern Thailand, both affected by the 2004 Indian Ocean Tsunami, the 20th anniversary of which provided the initial motivation for the study; the Tohoku region of Japan, affected by the 2011 Great East Japan Earthquake and Tsunami; and Palu Bay (Sulawesi, Indonesia) affected by the Palu-Central Sulawesi Earthquake and consequent triple disaster. …

Influence Of Temperature, Oxygen Partial Pressure, And Microstructure On The High-Temperature Oxidation Behavior Of The Sic Layer Of Triso Particles, Visharad Jalan, Adam Bratten, Meng Shi, Tyler Gerczak, Haiyan Zhao, Jonathan D. Poplawsky, Xiaoqing He, Grant Helmreich, Haiming Wen

Materials Science and Engineering Faculty Research & Creative Works

Tri structural isotropic (TRISO)-coated fuel particles are designed for use in high-temperature gas-cooled nuclear reactors, featuring a structural SiC layer that may be exposed to oxygen-rich environments over 1000 °C. Surrogate TRISO particles were tested in 0.2–20 kPa O2 atmospheres to observe the differences in oxidation behavior. Oxide growth mechanisms remained consistent from 1200–1600 °C for each PO2, with activation energies of 228 ± 7 kJ/mol for 20 kPa O2 and 188 ± 8 kJ/mol for 0.2 kPa O2. At 1600 °C, kinetic analysis revealed a change in oxide growth mechanisms between 0.2 and 6 kPa O2. In 0.2 kPa …

Impurity Behavior In Cast Copper Anodes: Implications For Electrorefining In A Circular Economy, Agustin Morales-Aragon, Daniel Sánchez-Rodas, Guillermo Ríos, Michael S. Moats

Materials Science and Engineering Faculty Research & Creative Works

The behavior of impurities in cast copper was investigated to simulate production with increased utilization of secondary sources within the framework of a circular economy. The incorporation of impurities, particularly Ni, Sn, and Sb, from recycled Cu may significantly impact the electrorefining process. In this study, commercial anodes were doped with Ni, Sn, and Sb concentrations of 2500–6500 g/t, 300–900 g/t, and 450–950 g/t, respectively. Anode concentrations of Pb and Bi were maintained at 1000 g/t and 350 g/t, respectively. As concentrations were examined at two levels, 860 or 1700 g/t, depending on the commercial anode used to create the …

Elevated Temperature Performance: Arc-Jet Testing Of Carbon Fiber Reinforced Zrb2 Bars Up To 2200 °C For Strength Retention Assessment, D. Sciti, A. Vinci, L. Zoli, P. Galizia, M. Mor, W. Fahrenholtz, S. Mungiguerra, R. Savino, A. M. Caporale, A. Airoldi

Materials Science and Engineering Faculty Research & Creative Works

For the first time, ultra-high temperature ceramic matrix composite bars were tested inside an arc-jet facility to investigate the impact of oxidation damage on strength retention. The composite bars, which were based on a ZrB2 / SiC matrix reinforced with 45 vol% carbon fibers, were produced by slurry impregnation and sintering. The first batch was tested under 3-point (pt) bending, and two additional batches were exposed to plasma of dissociated air up to a temperature of 2200 °C for 2 min or 2.2 min and then subjected to 3-pt bending. More than 75% of the initial strength was retained even …

Blast Tube Design: How Shape And Size Influence The Resultant Shock Wave, R. L. Bauer, C. E. Johnson

Mining Engineering Faculty Research & Creative Works

Shock tubes and tunnels are often used in research settings as a way of producing high pressure shock waves in a smaller footprint or without the use of explosives. However, there is no standard geometric design across laboratories. Peak pressure is a significant parameter for characterizing a shock wave. However, different tube configurations could also affect parameters such as impulse and duration, yet no research has investigated how the scale of the tube affects the overall waveform shape. To understand the implications of shock tube design, tubes with a constant length to diameter ratio were evaluated to determine how tube …

A Comprehensive Study Of Cooling Rate Effects On Diffusion, Microstructural Evolution, And Characterization Of Aluminum Alloys, Atiqur Rahman, Sriram Praneeth Isanaka, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Cooling Rate (CR) definitively influences the microstructure of metallic parts manufactured through various processes. Factors including cooling medium, surface area, thermal conductivity, and temperature control can influence both predicted and unforeseen impacts that then influence the results of mechanical properties. This comprehensive study explores the impact of CRs in diffusion, microstructural development, and the characterization of aluminum alloys and the influence of various manufacturing processes and post-process treatments, and it studies analytical models that can predict their effects. It examines a broad range of CRs encountered in diverse manufacturing methods, such as laser powder bed fusion (LPBF), directed energy deposition …

Exploring Key Factors Influencing Depressive Symptoms Among Middle-Aged And Elderly Adult Population: A Machine Learning-Based Method, Ngoc Doan Thu Tran, Yi Zhen Tan, Sapphire Lin, Fang Zhao, Yee Sien Ng, Dong Ma, Jeonggil Ko, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Objective: This paper aims to investigate the key factors, including demographics, socioeconomics, physical wellbeing, lifestyle, daily activities and loneliness that can impact depressive symptoms in the middle-aged and elderly population using machine learning techniques. By identifying the most important predictors of depressive symptoms through the analysis, the findings can have important implications for early depression detection and intervention. Participants: For our cross-sectional study, we recruited a total of 976 volunteers, with a specific focus on individuals aged 50 and above. Each participant was requested to provide their demographic, socioeconomic information and undergo several physical health tests. Additionally, they were asked …

A Causality-Aware Paradigm For Evaluating Creativity Of Multimodal Large Language Models, Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marink Zitnik, Liang Lin

Research Collection School Of Computing and Information Systems

Recently, numerous benchmarks have been developed to evaluate the logical reasoning abilities of large language models (LLMs). However, assessing the equally important creative capabilities of LLMs is challenging due to the subjective, diverse, and data-scarce nature of creativity, especially in multimodal scenarios. In this paper, we consider the comprehensive pipeline for evaluating the creativity of multimodal LLMs, with a focus on suitable evaluation platforms and methodologies. First, we find the Oogiri game—a creativity-driven task requiring humor, associative thinking, and the ability to produce unexpected responses to text, images, or both. This game aligns well with the input-output structure of modern …

Towards Resource-Efficient Reactive And Proactive Auto-Scaling For Microservice Architectures, Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo

Research Collection School Of Computing and Information Systems

Microservice architectures have become increasingly popular in both academia and industry, providing enhanced agility, elasticity, and maintainability in software development and deployment. To simplify scaling operations in microservice architectures, container orchestration platforms such as Kubernetes feature Horizontal Pod Auto-scalers (HPAs) designed to adjust the resources of microservices to accommodate fluctuating workloads. However, existing HPAs are not suitable for resource-constrained environments, as they make scaling decisions based on the individual resource capacities of microservices, leading to service unavailability, resource mismanagement, and financial losses. Furthermore, the inherent delay in initializing and terminating microservice pods hinders HPAs from timely responding to workload fluctuations, …

Seven Hci Grand Challenges Revisited: Five-Year Progress, Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Vincent G Duffy, Qin Gao, Waldemar Karwowski, Fiona Nah, Stavroula Ntoa, Pei-Luen Patrick Rau, Keng Siau, Jia Zhou

Research Collection School Of Computing and Information Systems

Motivated by the rapid technological advancements achieved in the last five years, and the pervasiveness of Artificial Intelligence, the paper investigates the evolving role of Human-Computer Interaction and revisits the seven grand challenges outlined in 2019: human-technology symbiosis, human-environment interactions, ethics, privacy and security, well-being, health and eudaimonia, accessibility and universal access, learning and creativity, and social organization and democracy. Through literature analysis, the paper reevaluates the status of each challenge and highlights emerging requirements. Key findings reveal the widespread impact of Artificial Intelligence across all domains and emphasize the need for improved AI transparency, alignment with human values, and …

Hotpatching On The Fly: Mitigating Drone Incidents Arising From Incorrect Configuration, Ruidong Han, Juanru Li, Zhuo Ma, David Lo, Arash Shaghaghi, Jianfeng Ma, Siqi Ma

Research Collection School Of Computing and Information Systems

Manufacturers offer adjustable control parameters for flight control systems to accommodate diverse environments and missions. To ensure flight safety, they also develop established boundaries, i.e., range specifications for parameter values. However, even when the configuration parameters fall within the prescribed manufacturer range, they could still lead to instability or even severe incidents like crashes, which are referred to as Range Specification Bugs. Prior research has suggested shrinking the range of parameter values to protect drones from the adverse effects of such bugs. However, narrowing the range of parameters may only reduce the probability of errors and could potentially limit the …

Differential Risk Of Cardiovascular Complications In Patients With Type-2 Diabetes Mellitus In Ghana: A Hospital-Based Cross-Sectional Study, Christian Obirikorang, Evans Asamoah Adu, Anthony Afum Adjei Awuah, Samuel Nkansah Darko, Frank Naku Ghartey, Samuel Ametepe, Eric N.Y. Nyarko, Enoch Odame Anto, William Kwame Boakye Ansah Owiredu

Research outputs 2022 to 2026

Aim To characterize clinically relevant subgroups of patients with type-2 diabetes mellitus (T2DM) based on adiposity, insulin secretion, and resistance indices. Methods A cross-sectional study was conducted at Eastern Regional Hospital in Ghana from July to October 2021 to investigate long-term patients with T2DM. To select participants, a systematic random sampling method was employed. Demographic data was collected using a structured questionnaire and fasting blood samples were taken to measure glycemic and lipid levels. Blood pressure and adiposity indices were measured during recruitment. The risk of cardiovascular disease (CVD) was defined using Framingham scores and standard low-density lipoprotein thresholds. To …

Helicity Modulus And Chiral Symmetry Breaking For Boundary Conditions With Finite Twist, Gaurav Khairnar, Thomas Vojta

Physics Faculty Research & Creative Works

We study the response of a two-dimensional classical XY model to a finite (noninfinitesimal) twist of the boundary conditions. We use Monte Carlo simulations to evaluate the free energy difference between periodic and twisted-periodic boundary conditions and find deviations from the expected quadratic dependence on the twist angle. Consequently, the helicity modulus (spin stiffness) shows a nontrivial dependence on the twist angle. We show that the deviation from the expected behavior arises because of the mixing of states with opposite chirality which leads to an additional entropy contribution in the quasi-long-range ordered phase. We give an improved prescription for the …

Simulation-Based Models For Postearthquake Response: A Survey And Research Directions, Abhijit Gosavi, Lauryn A. Spearing, Lesley H. Sneed

Engineering Management and Systems Engineering Faculty Research & Creative Works

Computer simulation is increasingly being used by emergency planners as a tool to improve disaster response given that it can model real-world scenarios, such as earthquakes. Although there has been an increase in simulation research focused on disaster response, much of this literature is from disparate fields and across disaster scenarios. To bridge this gap, this paper surveys simulation-based models for post-earthquake response from the year 2000 onward. Advantages of simulation over closed-form statistical models are discussed. Three main subproblems in post-earthquake response models are explored: (1) service distribution (e.g., food, water), (2) infrastructure restoration (at the building and transportation …

Reflections On The Origin Of Linear B, (Part 8); Sign 16 (Looks Like A Human Head) And Its Possible Connection To The Ancient Egyptian God Ptaḥ, Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

This article suggests a rationale for the shape of Linear B sign 16 being that of a human head: The sign likely derives from the ancient Egyptian hieroglyph for ‘face’ (recognized already by Sundwall and Evans) and very possibly honors the ancient Egyptian god Ptah, described as ‘Beautiful of Face.’ Also, remarkably, a total of three Linear B signs may be traceable directly to Ptah, and a fourth one (shared with Osiris) may be connected with him too.

Determinants Of Market Participation Among Milk Producers In Kyrgyzstan, Akhmadjon Nurullaev, Eunchun Park, Bruce L. Ahrendsen, Stijn Speelman, Lawson Connor

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Numerous studies have been conducted to comprehend the economic importance of market participation for producers. However, a significant gap remains, particularly in Central Asia. This study assesses market participation drivers for Kyrgyzstan's milk producers using the Life in Kyrgyzstan dataset, encompassing a comprehensive nationwide farm-level survey. Findings reveal that household assets boost market entry and sales volume, whereas distance from markets discourages participation but can increase sales for active sellers, reflecting transportation cost strategies. The insights inform policy interventions benefiting rural small-scale milk producers in Central Asian countries that share similar cultural backgrounds.

Application Of Convolutional Neural Network For Seismic Event Classification: Impact Of Dataset Quality, Distribution, And Human-In-The-Loop Feedback, Yanwei Zhang, Stephen S. Gao, Xiaoyi Fan, Shaohui Zhou, Junhao Qu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Convolutional neural networks (CNNs) have gained popularity in geophysical research due to their exceptional performance in various areas. However, achieving reliable results with CNNs typically requires a significant amount of high-quality data for training. In this study, we develop a CNN to classify natural earthquakes, mine collapses, and explosions using seismic waveforms from 287 stations in Shandong Province, China. The dataset comprises 1035 earthquakes, 159 mine collapses, and 586 explosions. To address the impact of unreliable measurements, we employ cross validation to screen, manually correct, or discard measurements with inconsistent labels assigned by human experts and CNN. By refining the …

Effect Of Shrinkage-Mitigating Materials, Fiber Type, And Repair Thickness On Flexural Behavior Of Beams Repaired With Fiber-Reinforced Self-Consolidating Concrete, Jingjie Wei, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

While self-consolidating concrete (SCC) has emerged as a highly effective approach for the repair of concrete structures, there have been few investigations regarding the effect of the combination of different fiber and shrinkage-mitigating material types (shrinkage-reducing admixture, SRA; superabsorbent polymer, SAP; and expansive agent, EA) on the flexural behavior of repaired structures. This study aims to explore the influence of three different shrinkage-mitigating materials (1.25%–2.5 % SRA, 4%–8% EA, and 0.2%–0.4 % SAP), four fiber types (two macro synthetic fibers, MSFA and MSFB; 5D hooked steel fibers, 5D; a combination of 80 % 3D hooked steel +20 % short steel …

Neuroimaging Findings In Nondemented Frail Individuals: A Systematic Review, Hamid Harandi, Soheil Mohammadi, Ali Jahanshahi, Mahsa Dolatshahi, Sogol Alikarami, Rasa Zafari, Cyrus A Raji

2020-Current year OA Pubs

BACKGROUND: Frailty is a chronic condition characterised by the progressive decline of multiple physiological functions. There is a critical need to investigate neuroimaging findings in nondemented frail individuals to better understand the underlying mechanisms and implications of frailty on brain health. This paper is aimed at reviewing neuroimaging studies assessing brain changes in nondemented frail individuals to understand the neuropsychological basis of frailty.

METHODS: A systematic review was conducted on studies focusing on neuroimaging modalities in frailty, including MRI, fMRI, DTI and PET. The review was based on PRISMA instructions and a two-step screening process. The studies evaluating neuroimaging findings …

Cross-Sectional Comparison Of Structural Mri Markers Of Impairment In A Diverse Cohort Of Older Adults, Julie K Wisch, Kalen Petersen, Peter R Millar, Omar Abdelmoity, Ganesh M Babulal, Karin L Meeker, Meredith N Braskie, Kristine Yaffe, Arthur W Toga, Sid O'Bryant, Beau M Ances, Habs‐Hd Study Team

2020-Current year OA Pubs

Neurodegeneration is presumed to be the pathological process measure most proximal to clinical symptom onset in Alzheimer Disease (AD). Structural MRI is routinely collected in research and clinical trial settings. Several quantitative MRI-based measures of atrophy have been proposed, but their low correspondence with each other has been previously documented. The purpose of this study was to identify which commonly used structural MRI measure (hippocampal volume, cortical thickness in AD signature regions, or brain age gap [BAG]) had the best correspondence with the Clinical Dementia Rating (CDR) in an ethno-racially diverse sample. 2870 individuals recruited by the Healthy and Aging …

Collection Of Self-Research Papers Analyzing The Enhancement Of Uae-China Cooperation Through Public Policy Lenses, Jiaming Lu

Theses

This thesis examines how UAE public policies can align with China’s commercial and political interests to strengthen the current strategic partnership between the two nations, with a focus on bilateral business cooperation encompassing diplomatic collaboration, free zone trade, and energy sector corporate governance. The primary objective of this thesis is to analyze whether this comprehensive relationship can be sustained or elevated to “allweather, all-round, strategic, and future-oriented” strategic partnership amid global challenges. To achieve this objective, multiple analytical models were employed to assess relevant public policies and their implementation mechanisms, including historical analysis, dynamic modeling, and socio-legal analysis. The findings …