Digital Commons Network^™

Simulation In Occupational Therapy Graduate Programs, Donna Walls, Lillie Thomas, Melinda A. Underwood, Kendall Davis

Journal of Occupational Therapy Education

The purpose of this study was to identify the use of simulation in occupational therapy graduate programs. A national survey was analyzed from participants who were faculty members of graduate programs in the United States. The survey questions focused on the characteristics of the simulated experiences, student skills addressed, faculty collaboration efforts, and the debriefing process. Over 1,750 emails were sent to faculty of accredited graduate occupational therapy programs and yielded a response rate of approximately 9.5% from faculty of 80+ programs in 31 states that were included in the responses. Survey data were analyzed with cross-tabulation and statistical analyses, …

A Scholarly Exploration Of Teaching Strategies For Learning About Pediatric Sleep, Laura J. Carpenter, Amanda M. Buono

Journal of Occupational Therapy Education

The occupation of sleep is an area of occupational therapy practice for which many practitioners report a lack of confidence and/or knowledge to properly address. The current study addresses this concern by studying the effects of a learning module on students’ confidence and knowledge to address pediatric sleep. The study used a pre-test, post-test non-experimental design and collected survey responses from 48 entry-level occupational therapy students in three different programs. The lecture portion of the module included content about both assessing and intervening, while the case study emphasized intervention-planning only. Results indicated significant gains in knowledge overall (z = …

What Motivates Occupational Therapy Students To Self-Study Anatomy, Samantha Williams, Athena Kirou-Mauro, Kelly Hennessy, Lexi Davidson, Emily S. Ho

Journal of Occupational Therapy Education

Informed by self-determination theory, this study examined the motivations and preferred learning styles of entry-level occupational therapy students and explored how their perceived anatomy competency related to their academic performance. To investigate this, ninety-seven occupational therapy students completed a reflective assignment through which they set anatomy self-study learning goals. Self-study learning approaches were categorized, and the relationship between student perceived anatomy competency and academic outcomes (i.e., anatomy quizzes, term grades) was analyzed. When examining self-study learning approaches, students favored computer assisted instructional tools (n = 75, 77%) and integrated clinical application with their learning goals (n = 52, …

Symmetry, Presumptions, And The Judges Design, Murat C. Mungan

Faculty Scholarship

An instrumental variables approach called ‘the judges design’ used frequently in social sciences relies on an assumption called ‘average monotonicity’. This assumption pertains to how different judges’ (or other classifiers’) decision making processes relate to each other. Violations of it are hard to detect, which raises the importance of it being supported by a plausible theory. Decisions of judges who solve Bayesian decision problems violate average monotonicity as long as the signals they process are symmetric and they do not possess strong presumptions. This result is extended to cases where judge presumptions are symmetrically distributed and may include strong presumptions. …

Information Law Pluralism, Hannah Bloch-Wehba

Faculty Scholarship

Information-intensive activities are reshaping political, social, and economic institutions. As they respond to these shifts, legislators and regulators are embracing information as a regulatory device for tech. Far from limiting themselves to public disclosure, consumer notice, and other traditional mechanisms of fostering transparency and information flows, however, legislators are using other, more nuanced tools to incentivize regulated entities to obtain, generate, and share information.

This Article maps the landscape of the emerging information-based regimes for regulating tech and assesses their conceptual and practical implications. It canvasses an extensive set of recently enacted laws regulating the information economy and shows that, …

Preparing Clinician-Educators: Otd Students' Perceptions Of An Intraprofessional Teaching–Learning Experience, Dianna Lunsford, Anne M. Moscony, Blair Carsone

Journal of Occupational Therapy Education

Professional communication and the educator role are essential entry-level competencies in occupational therapy. To date, and to the authors' knowledge, no published study has used an inductive qualitative approach to examine how entry-level occupational therapy doctoral students describe and make meaning of a structured teaching-learning assignment that pairs them with occupational therapy assistant students and casts them in the role of teacher and evaluator. This retrospective qualitative study examined occupational therapy doctoral students' perceptions of a structured peer teaching–learning assignment grounded in the Learning by Teaching framework. Participants included entry-level occupational therapy doctoral students in their final year of study …

Moral Progress In Legal Doctrine, Philip Petrov

Faculty Scholarship

This article integrates the concept of moral progress – here, moral improvement in the thinking and behavior of individuals over time – into the study of legal doctrine. The article first presents a naturalistic account of what moral progress is and describes three of its most historically and analytically important forms: (1) moral circle expansion, (2) moral domain expansion, and (3) increasing sensitivity to proportionality. The article then analyzes three historical developments in U.S. tort law that qualify as instances of moral progress: (1) the partial demise of the “suicide rule” beginning around the 1980s (according to …

Equal Justice & Generative Ai, Milan R. Markovic

Faculty Scholarship

The United States has long suffered from unequal access to justice, with countless low-and middle-income Americans forced to navigate the legal system alone. Recently, prominent judges, lawyers, and scholars have seized on generative AI as a potential corrective. These techno-optimists maintain that ChatGPT and other large language models can demystify the law and address unmet legal needs. Chief Justice John Roberts has proclaimed that AI-based tools "have the welcome potential to smooth out any mismatch between available resources and urgent needs in our court system."

Although AI will be an increasingly important source of legal assistance for underserved populations, the …

Artificial Intelligence: Current Uses In Occupational Therapy Education, Breanna Chycinski, Rebecca Tauber, Brina Crown, Caitlin Noble, Meredith Murphy

Journal of Occupational Therapy Education

Although artificial intelligence (AI) may be an advantageous tool to enhance learning, its societal impacts are still widely unexplored. This study examined how AI is utilized in occupational therapy master’s and doctoral educational programs by faculty and students, while also investigating how such programs are preparing students to employ AI in ethical and beneficial ways. Through the lens of the Person-Environment-Occupation (PEO) Model, this paper examined relationships among occupational therapy students, faculty, their educational environments, and AI. An online survey was distributed to faculty at accredited occupational therapy programs across the United States. Questions included topics such as classroom practices, …

Recalibrating Readiness: Pandemic Impact On Ot Admissions, Bridget J. Hahn, Kajol Patel, Jacquelyn A. Siegel, Jessica Rappaport, Michelle Mcfall-Johnsen, Kia A. Burks

Journal of Occupational Therapy Education

This study explored shifts in occupational therapy applicant characteristics across two distinct time periods: pre- and post-COVID-19, while also describing admissions policy changes implemented by an urban Midwestern Occupational Therapy Doctorate (OTD) program. Retrospective data from admissions records from 917 applicants (2017 – 2024) were grouped into pre-COVID (2017 – 2020) and post-COVID (2021 – 2024). Academic, pre-professional, interview, and underrepresented minority (URM) status was compared using independent t-tests and chi-square analyses. Cumulative grade point average (GPA) and research experience increased post-pandemic, while pre-professional experience and interview performance declined. The proportion of URM applicants rose significantly from 8.1% pre-COVID to …

Perceived Impacts Of Confucianism On Placement Experiences Of Hong Kong Pre-Registration Occupational Therapy Students In The United Kingdom, Hin Yuet Li, Sarah Louise Mcginley, Rachel Dadswell, Rachel Houweling

Journal of Occupational Therapy Education

This study explored the views of Hong Kong pre-registration occupational therapy (OT) students in the United Kingdom (UK) about how Chinese culture influenced their practice placement experiences. Students from diverse cultural backgrounds may encounter various challenges during OT placements, but little is known about how OT students from Hong Kong—where Confucianism traditionally shapes workplace expectations and the hierarchical teacher‑student relationship—experience placements in the UK. Two online focus groups to collect qualitative data were conducted in November 2022 with four participants who were UK-based OT students from Hong Kong (N=8 in total), two facilitators (OT students from Hong Kong, based in …

Hands-On: Integrating Active Learning Into An Upper Extremity Occupational Therapy Elective, Jennifer Radziak, Katie Jones, Kelsey Picha

Journal of Occupational Therapy Education

In an effort to provide students with advanced clinical practice skills, several occupational therapy elective courses were developed. The current article describes an educational innovation that involved an in-person elective course for graduate second year Master of Science in Occupational Therapy students that focused on the upper extremity. The course was team-taught, promoted active learning, and used unique activities to engage students in the learning process. Relevant evidence-based practice literature and clinical guidelines were incorporated into the course to teach students about the treatment of upper extremity conditions. The active learning strategies implemented in the course included fresh donor dissection, …

Does It Matter What People Lie About?, Stefanie Jung, Peter Krebs, Monika Leszczynska

Faculty Scholarship

We investigate whether people’s moral judgments of lies in pre-contractual negotiations differ from their views on whether such lies should give the deceived party a legal right to rescind the contract, and whether these judgments depend on the content of the lie. In a vignette study with 832 German students and 885 participants from Germany, Italy, and the United States, respondents evaluated a range of common negotiation lies. Across samples, participants were generally more likely to deem a lie immoral than to believe it should justify rescission, but the size of this gap varied depending on the lie’s subject. Lies …

Proliferative Glomerulonephritis With Monoclonal Immunoglobulin Deposits With Severe Acute Kidney Injury Successfully Managed By Clone-Directed Therapy: A Case Report, Shohei Maekawa, Shinya Yamamoto, Tatsuaki Kosaka, Hisashi Kamido, Yasuyuki Arai, Yayoi Ogawa, Naoka Murakami, Yuki Teramoto, Motoko Yanagita

Faculty, Staff and Students Publications

Introduction

Proliferative glomerulonephritis with monoclonal immunoglobulin deposits (PGNMID) is a form of monoclonal gammopathy of renal significance, characterized by kidney injury caused by monoclonal immunoglobulin deposition in the glomeruli. While detectable clones are only found in 20–30% of PGNMID, plasma cell- or B-cell-targeting therapies are suggested to be effective. Recent case reports suggested immune dysregulation, such as viral infections or vaccinations, could potentially trigger the onset or relapse of PGNMID. Here, we report a case of PGNMID without detectable clones, which relapsed after viral enteritis, presenting with severe acute kidney injury (AKI) and nephrotic syndrome.

Case Presentation

A 60-year-old man, …

Streamlining Eligibility Assessment For Alzheimer’S Disease-Modifying Therapies: Prediction Of Mmse Scores Using The Digital Clock And Recall, Ali Jannati, Claudio Toro-Serey, Marissa Ciesla, Emma Chen, John Showalter, David Bates, Alvaro Pascual-Leone, Sean Tobyne

Faculty, Staff and Students Publications

           Introduction: The eligibility of anti-amyloid disease-modifying therapies (DMTs) and their integration into clinical practice in some institutions requires a specific range of Mini-Mental State Examination (MMSE) scores. Reliance on this pencil-and-paper psychometric instrument imposes operational burdens and risks of perpetuating health disparities, given the test's known educational and cultural biases. This study evaluates the efficacy of the Digital Clock and Recall (DCR™)-a rapid, FDA-listed digital cognitive assessment-to crosswalk to MMSE scores using machine learning, thereby offering a faster, scalable, and equitable mechanism for patient triage.

Methods: We conducted a retrospective analysis using data from the multi-site Bio-Hermes-001 (BH) study ( …

Therapeutic Potential Of Hookworm Proteins In Promoting Regulatory Immune Responses To Modulate Trypanosoma Cruzi Induced Liver Inflammation And Oxidative Stress, Maria Jose Villar, Cristina Poveda, Bin Zhan, Maya Gonsoulin, Kathryn M Jones

Faculty, Staff and Students Publications

Background: Chronic Trypanosoma cruzi infection causes significant liver pathology, and current antiparasitic treatments often worsen hepatic damage. Hookworm-derived proteins have shown immunomodulatory effects in inflammatory diseases, including T. cruzi-induced myocarditis.

Objective: This study evaluates recombinant hookworm proteins AIP-1 and AIP-2 for treating liver inflammation in a murine model of chronic Chagas disease (CD).

Methods: Female BALB/c mice infected with T. cruzi were treated with AIP-1 or AIP-2 (1 mg/kg) for seven days. Controls were untreated or received aspirin (25 mg/kg) for 14 days. Liver tissues were analyzed for parasite burden (quantitative polymerase chain reaction - qPCR), histopathology (H&E, Picrosirius Red), …

Deep Learning To Predict Future Cognitive Decline: A Multimodal Approach Using Brain Mri And Clinical Data, Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H Ankarath, Christopher Patterson, Emma J Gleave, Sophia I Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M Thompson

Faculty, Staff and Student Publications

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize clinical trials. In this study, we compared two deep learning approaches for forecasting changes, over a 2-year interval, in the Clinical Dementia Rating scale 'sum of boxes' score (sobCDR), as a continuous outcome (regression). This is a key metric in dementia research and clinical trials, and scores range from 0 (no impairment) to 18 (severe impairment). To predict decline, we trained a …

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

Enhancing Traffic State Estimation At Bottlenecks Through Improved Demand Modeling: A Greenshields-Grounded Approach, Yuyan Annie Pan, Xianbiao Hu, Qing Tang, Yanyan Chen, Xuesong (Simon) Zhou

Civil & Environmental Engineering Faculty Publications

Accurate estimation of traffic state under oversaturated conditions is fundamental to a wide range of transportation applications. While intuitive, volume-to-capacity (q/qc) ratio-based link performance functions (LPF) are challenged by the U-shaped pattern of real-world speed-flow plots, which contradict the monotonic assumptions of link performance models such as the Bureau of Public Roads (BPR) function, particularly when q/q_c ≥ 1. This study addresses this critical gap by proposing an enhanced demand estimation method grounded in the Greenshields model, incorporating a real-time inflow correction factor to more accurately capture traffic demand at bottlenecks. In parallel, a modified LPF is introduced, replacing …

Early Drowsiness Detection Via Second-Order Derivative Analysis Of Heart Rate Variability: A Non-Contact Ecg Approach With Machine Learning, Fabrice Vaussenat, Abhiroop Bhattacharya, Julie Payette, Alireza Saidi, Victor Bellemin, Geordi-Gabriel Renaud-Dumoulin, Sylvain G. Cloutier, Ghislain Gagnon

Études primaires

Drowsy driving contributes to roughly 20% of traffic fatalities, yet most detection systems rely on behavioral cues that appear only after impairment has set in. Here we ask whether first and second derivatives of heart rate variability (HRV) can detect pre-crash states earlier than conventional approaches. Twenty-five participants completed 49 driving simulator sessions while we recorded cardiac activity through capacitive ECG electrodes embedded in the seat backrest—a non-contact method that avoids the privacy concerns of camera-based monitoring. To prevent circular evaluation, ground truth labels were based solely on crash proximity rather than HRV-derived scores. The combined HRV feature set (conventional …

Occupational Exposure To Pesticides Increases The Risk Of Amyotrophyc Lateral Sclerosis: A Systematic Review And Meta-Analysis, France Labrèche, Pamela Prudhomme, Maryse Gagnon, Nicolas Dupré, Sabrina Gravel

Études primaires

Objective To systematically review the evidence on the association between occupational exposure to pesticides and the risk of amyotrophic lateral sclerosis (ALS).

Methods A systematic search, conducted in eight bibliographic databases for publications between 1990 and 2025, identified observational studies estimating the risk of ALS after occupational pesticide exposure. Study quality was assessed using the WHO Risk of Bias (RoB) assessment instrument for systematic reviews, with the ROBINS-E (RoB in non-randomised studies of exposure) tool domains of bias. Pooled risk estimates were produced using random-effects models with restricted maximum likelihood, heterogeneity was assessed with I² statistics, and meta-regressions and publication …

On The Use Of Hearing Aid Algorithms In Industrial Noise: Balancing Speech Intelligibility And Hearing Protection, Solenn Ollivier, Fabien Bonnet, Alexis Pinsonnault-Skvarenina, Christian Giguère, Jérémie Voix, Hugues Nélisse

Études primaires

Hearing protection devices (HPDs) are widely used to mitigate the risks of noise-induced hearing loss in industrial environments. However, conventional HPDs can often hinder communication for workers with hearing loss. While those workers may rely on hearing aids in their daily lives, the potential benefits and associated risks of using such devices in noisy workplaces remain unexplored. This study evaluated the effects of different hearing aid signal processing algorithms on speech intelligibility and estimated noise exposure under industrial noise conditions to characterize the balance between communication and protection needed to develop solutions for workers with hearing loss. A digital hearing …

Tracking Vigilance While Driving: Pilot Study Of Heart Rate Variability Classification Under A Controlled Sleep-Deprivation Protocol, James Elber Duverger, Eli Moser, Philippe Boudreau, Marie Claude Ouimet, Diane B. Boivin, Alireza Saidi

Études primaires

Decreased vigilance associated with drowsiness is a major cause of motor vehicle crashes, but its physiological characterization and detection remain difficult due to behavioral and environmental confounding factors. This study presents an original experimental framework combining a highly controlled sleep-deprivation protocol, repeated driving simulations, and a machine-learning-based heart rate variability (HRV) analysis to study the physiological and behavioral changes in vigilance during a prolonged period of wakefulness while driving. Twelve healthy young adults participated in a 30-h sleep-deprivation constant routine protocol that included driving simulations every two hours, with data collection: electrocardiography (ECG), subjective ratings of drowsiness, psychomotor vigilance test, …

Computer Vision-Based Collision Prevention In Construction: Bridging Academic Advances And Industrial Requirements, Marwa Ziadia, François Gauthier, Damien Burlet-Vienney

Études primaires

Computer vision (CV) technologies have emerged as promising tools for real-time collision risk management. This paper examines CV-based collision-prevention systems from academic and industrial perspectives with a focus on identifying technical and implementation challenges affecting their deployment on construction sites. A scoping review of 158 publications was conducted, alongside an assessment of commercial CV-based collision-prevention systems currently used in construction. The analysis focused on five key functions: object detection, distance measurement and proximity estimation, tracking, worker re-identification (ReID), and deployment robustness. Academic studies demonstrate substantial progress in detection accuracy, real-time processing, trajectory tracking, and predictive risk assessment through deep learning …

External Validation Of A Machine Learning Model To Predict Postpartum Hemorrhage In A Us Northeastern Healthcare System, Vesela P Kovacheva, Ricardo Kleinlein, Nolan Wheeler, Kartik K Venkatesh, Eric Jelovsek, David W Bates, Kathryn J Gray

Faculty, Staff and Students Publications

Introduction: Postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Timely prediction may prevent adverse maternal outcomes, and efforts are needed to develop accurate predictive tools. A high-performing machine learning model to predict PPH using data from the US Consortium for Safe Labor (CSL) remains to be widely validated in contemporary clinical settings using electronic health record (EHR) data. Our goal was to evaluate the performance of the CSL PPH predictive model using EHR data across a large healthcare system in the Northeastern United States.

Methods: We conducted a retrospective cohort study across eight hospitals in the …

Brief For Jonathan H. Adler As Amicus Curiae Supporting Respondents And Affirmance, Jonathan Adler

Briefs

Global climate change presents many complex and intractable legal and policy questions. Assuming this Court has jurisdiction, the legal questions in this case are comparatively simple and straightforward. Nothing in federal law, let alone the Constitution, preempts state-law claims seeking relief from injuries allegedly caused or exacerbated by petitioners’ conduct.

At issue in this case is whether allegedly aggrieved parties, including subnational governments, may seek redress under state law from defendants otherwise subject to state court jurisdiction for harms allegedly caused or contributed to by petitioners’ conduct. In order to succeed, respondents will ultimately need to show that the damages …

Acute Fatty Liver Of Pregnancy And Fetal Fatty Acid Oxidation Disorders: A Systematic Review, Dante Varotsis, Sarah Araji, Rebecca Horgan, Jennifer E. Powel, Rodney Mclaren Jr., Brian Kirmse, Mona Makhamreh, Huda B. Al-Kouatly

Department of Obstetrics & Gynecology Faculty Publications

OBJECTIVE:

To evaluate the association between maternal acute fatty liver of pregnancy (AFLP) and fetal fatty acid oxidation (FAO) disorders and to define the clinical and genetic characteristics of mothers with AFLP and their fetuses affected by FAO disorders, we performed a systematic literature review of all reported cases of AFLP that underwent genetic testing for FAO disorders.

DATA SOURCES:

We searched PubMed, Ovid MEDLINE, Cochrane Library, CINAHL (EBSCO), Scopus, and ClinicalTrials.gov. Terms included were related to AFLP and FAO testing.

METHODS OF STUDY SELECTION:

We conducted a systematic literature review from inception through May 18, 2025, to evaluate the …

Considerations For The Analysis Of Urinary Environmental Chemical Concentrations During Pregnancy, Danielle R. Stevens, Kaleigh Hinton, Katie M. O'Brien, Jessie P. Buckley, Barrett M. Welch, Jason A. Watts, Antonia M. Calafat, Julianne C. Botelho, Elena Sinkovskaya, Ann Przybylska, George Saade, Alfred Abuhamad, Kelly K. Ferguson

Department of Obstetrics & Gynecology Faculty Publications

Background:

Pregnancy physiology may impact indicators of hydration, affecting exposure assessment in gestational studies with urinary chemical biomarkers.

Methods:

We aimed to characterize hydration and demonstrate the impact of different methods for standardizing urinary chemical biomarker concentrations on exposure descriptives in the Human Placenta and Phthalates Study (n = 303, 2017-2020), a prospective pregnancy cohort with eight study visits between 12 and 38 weeks of gestation. We assessed trajectories and predictors of hydration using urine flow rate (UFR) and specific gravity (SG). Likewise, we examined trajectories and predictors of mono-n-butyl phthalate (MBP), for which concentrations were unstandardized or standardized via …

Racial Differences In Adverse Pregnancy Outcomes And Incident Hypertension: A Mediation Analysis, Lucia C. Petito, Xiaoning Huang, C. Noel Bairey, Natalie Bello, Janet Catov, Ernesto Licon, Abbi Lane, David M. Haas, Lisa D. Levine, Rebecca B. Mcneil, Eliza Miller, Uma M. Reddy, Bethany Barone Gibbs, George Saade, Lauren Theilen, Laura E. Wiener, Brian M. Mercer, Hyagriv N. Simhan, Lynn M. Yee, Philip Greenland, William A. Grobman, Sadiya S. Khan

Department of Obstetrics & Gynecology Faculty Publications

Background

Adverse pregnancy outcomes (APOs) are associated with increased hypertension risk. Black women experience higher rates of APOs and hypertension compared with White women, but whether APOs contribute to Black-White hypertension disparities remains unknown.

Methods

The nuMoM2b-HHS (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be-Heart Health Study) prospectively recruited nulliparous pregnant people at 8 US centers (2010-2013) with follow-up 2 to 7 years postpartum (2014-2017). Race, which represents a social construct, was self-identified. The primary outcome was incident hypertension at follow-up. APOs included hypertensive disorders of pregnancy, preterm birth, and small-for-gestational age birth. Potential confounders (psychological health, social factors, and health behaviors) …

Faith Between Coercion And Freedom: Religious Policy, Repressions, And Cultural Memory In Ukraine From The Soviet Era To The Present, Andrii Fesenko, Illya Lukovenko

Occasional Papers on Religion in Eastern Europe

A comprehensive historical and religious studies analysis of the evolution of Church- state relations, repressive practices, and transformations of cultural memory in Ukraine from the Soviet era to contemporary wartime challenges. The mechanisms of Soviet "spiritual genocide" as an institutional prelude to the Holodomor are examined, accompanied by the destruction of religious infrastructure, confiscation of property, and deprivation of legal status of religious communities. The formation of the contemporary Ukrainian model of Church- state relations, which is grounded in the principles of religious pluralism, partnership, and the separation of Church and state as a direct antithesis to state-imposed totalitarian atheism. …