Digital Commons Network^™

“It’S A Lot More To It Than Just Research”: Integrating Critical Data Literacy And Reasoning With Data Into A Stem Summer Camp, Marc T. Sager, Saki L. Milton, Candace Walkington

Publications

Purpose: This study explores how middle-grade girls from predominantly underrepresented and underserved racially and ethnically minoritized (UUREM) backgrounds developed critical data literacy (CDL) through participation in a week-long residential STEM camp. Given the increasing importance of data science education in a data-driven world, this research examines how informal learning environments can support CDL development among youth from historically marginalized groups.

Design/Methodology/Approach: The study draws on qualitative interview data from eleven participants, and their group-produced artifacts to investigate how the camp experience supported engagement with data and the development of CDL. Interviews explored participants' experiences with data collection, organization, analysis, and …

Student Mental Health: Screening For Stress, Anxiety And Depression Using Fitbit Data, Rebecca Lopez, Avantika Shrestha, Ml Tlachac, Kevin Hickey, Xingting Guo, Shichao Liu, Elke Rundensteiner

Information Systems and Analytics Department Faculty Conference Proceedings

College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data that can be used for the early detection of mental illness. However, current research is limited concerning the variety of psychological instruments administered, physiological modalities, and time series parameters. In this research, we collect the Student Mental and Environmental Health (StudentMEH) Fitbit dataset from students at our institution during the pandemic. We assess the ability of predictive machine learning models to screen for depression, anxiety, and stress using different Fitbit modalities. Our findings indicate potential in physiological modalities such as heart …

Active Bone Marrow Dose Reconstruction In A Large-Scale Cohort Study Of Cancer Patients Treated With Photon Radiotherapy, Keith T Griffin, Kishan J Pithadia, Yeon Soo Yeom, Lior Braunstein, Kelly L Bolton, Lindsay M Morton, Choonsik Lee

2020-Current year OA Pubs

BACKGROUND: Previous studies have investigated the dose-response relationship between external beam radiotherapy (EBRT) and leukemia by reconstructing the mean active bone marrow (ABM) dose as part of the exposure assessment. However, no prior study has leveraged electronic medical records (EMR) to reconstruct ABM dose and dose-volume in an EBRT patient population.

PURPOSE: To support future studies on the relationship between radiation exposure and adverse health effects among EBRT patients, we demonstrate methods to retrospectively calculate ABM dose and dose-volume metrics in a large patient cohort using EMR.

METHODS: We retrieved complete EMR for 639 individuals (five pediatric and 634 adult) …

Mapping Charge Interactions In Intrinsically Disordered Proteins, Michael Phillips, Andrea Holla, Magdalena Wojtas, Aritra Chowdhury, Andrea Sottini, Sebastian L B König, Natalie Mutter, Nick Lamb, Jonathan Huihui, Monika Lopko, Andrea Soranno, Daniel Nettels, Andrzej Ożyhar, Benjamin Schuler, Kingshuk Ghosh

2020-Current year OA Pubs

Intrinsically disordered proteins (IDPs) are often rich in charged residues, and electrostatic interactions have a pronounced effect on their conformational distributions, interactions and functions. However, attaining quantitative understanding of electrostatics is challenging because of the sequence-specific arrangement of charges in the chain, the long-range nature of electrostatic interactions, charge screening, and the condensation of counterions-effects that all need to be taken into account self-consistently. Here, analytically tractable quantitative models are developed to predict ensemble average distances between any pair of residues in IDPs as a function of sequence and salt concentration, explicitly considering charge patterning. These models are tested systematically …

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Single Zonular Fiber Extraction And Characterization: A Platform For Biomechanical, Biochemical And Structural Analyses, Riley Forinash, Sean Staggs, Steven Bassnett, Juan Rodriguez

2020-Current year OA Pubs

Zonular fibers are essential for suspending the lens within the eye and, in primates, for transmitting forces generated by the ciliary body to drive ocular accommodation. Despite their biomechanical importance, the response of these fibers to sudden strains, and the molecular basis of their exceptional durability remain poorly understood. This is due, in part, to the absence of tools for studying them in isolation. Here, we present a custom-built, cost-effective apparatus designed to isolate, manipulate, and characterize individual zonular fibers under controlled physical and chemical conditions. The apparatus enables quantification of elastic moduli, stress-relaxation behavior, Poisson's ratio, and response to …

Finding Significant Hits In Networks: A Network-Based Tool For Analyzing Gene-Level P-Values To Identify Significant Genes Missed By Standard Methods, Sandeep Acharya, Vaha Akbary Moghaddam, Wooseok J Jung, Yu S Kang, Shu Liao, Michael A Province, Michael R Brent

2020-Current year OA Pubs

Finding Significant Hits in Networks (FISHNET) uses prior biological knowledge, represented as gene interaction networks and gene function annotations, to identify genes that do not meet the genome-wide significance threshold but replicate, nonetheless. Its input is gene-level P-values from any source, including omicsWAS, aggregation of genome-wide association studies P-values, CRISPR screens, or differential expression analysis. It is based on the idea that genes whose P-values are low purely by chance are distributed randomly across networks and functions, so genes with suggestive P-values that cluster in densely connected subnetworks and share common functions are less likely to reflect chance and more …

Patient And Chondral Defect-Specific Characteristics And Associated Matrix-Induced Autologous Chondrocyte Implantation Conversion Rates Following Biopsy, Derrick M Knapik, Daniel C Touhey, S Ryan Pierson, Christopher K Bozorgmehr, Matthew V Smith, Matthew J Matava, Robert H Brophy

2020-Current year OA Pubs

BACKGROUND: Focal chondral defects in the knee lead to swelling, discomfort, and mechanical symptoms, resulting in disability and loss of function. Matrix-induced autologous chondrocyte implantation (MACI) has emerged as a viable treatment option, with satisfactory clinical outcomes reported compared with microfracture. Patient and lesion-specific variables associated with MACI after biopsy remain largely underreported.

PURPOSE: To examine patient- and defect-specific characteristics associated with conversion to MACI after biopsy from a single institution.

STUDY DESIGN: Cohort study; Level of evidence, 3.

METHODS: A retrospective chart review of prospectively collected data from June 2018 to March 2025 was performed. Inclusion criteria included patients …

Dynamic Magnetic Null Behavior In Planar Ion Diodes: Particle-In-Cell Analysis Of Field Oscillations And Ion Beam Dynamics, Jesse C. Foster, Stephen B. Swanekamp, Paul F. Ottinger

Faculty Publications

Particle-in-cell simulations of a 1.75 MV, 375 kA, and 50 ns planar pinched-beam diode reveal that the strongest gigahertz-frequency oscillations in electric field and ion current arise from the dynamic motion of the magnetic null near the anode tip. These oscillations, which appear when the ion transit time becomes comparable to the local field-variation timescale, periodically expand the effective anode–cathode gap and generate bursts of over-accelerated ions. The resulting ion energy spectrum broadens substantially near the null while maintaining excellent beam uniformity along the anode. The simulations, therefore, demonstrate a direct physical linkage between ion transit time instability and magnetic …

Prior Head Circumference Measurements In Infants With Older Subdural Hematomas: Did We Miss It?, Maryann Alvarez Griffis, Nancy D. Kellogg, Wouter Koek

School of Medicine Publications

Objective: To establish whether infants with macrocephaly and non-acute subdural hematomas (SDHs) had missed opportunities for measuring fronto-occipital circumference (FOC) and obtaining neuroimaging prior to diagnosis. Macrocephaly due to SDH in infancy is initially detected by FOC measurements and/or neuroimaging, as neurologic symptoms may be subtle or missed.

Methods: Retrospective chart review of infants with macrocephaly and non-acute SDHs referred to child abuse pediatricians for suspected abusive head trauma (AHT) over an 8-year period. A study sample of 35 infants met inclusion criteria and had complete prior medical records which were reviewed for missed opportunities for earlier SDH diagnosis. Four …

Less Fisher More Doe: Non-Testimonial Mental Content And A New Rule For Unlocking Digital Devices, Jordan Wallace-Wolf

William & Mary Bill of Rights Journal

Roughly fifteen years ago, courts started to regularly confront a fact pattern that I refer to as the unlocking scenario. In this kind of case, the government seeks evidence on a criminal defendant’s digital device, but it cannot access it due to a sufficiently strong system of password protection or encryption. May the government compel the defendant to unlock the device, or would this compulsion make the defendant “a witness against himself”?

Courts gave different answers to this question right from the start, but their answers have started to diverge even more markedly in recent years, notwithstanding two formative papers …

Does Article I Of The Constitution Prohibit The States From Creating Their Own Cryptocurrencies?, Kevin Fontenot

William & Mary Bill of Rights Journal

The market for cryptocurrency (crypto) has exploded in size since the first cryptocurrency, Bitcoin, was created in 2009. As of September 4, 2024, the value of all existing cryptocurrency was $2.02 trillion. On November 14, 2024, this value reached a high of $3.2 trillion, apparently in response to the election of pro-crypto President Donald Trump. Despite the fact that cryptocurrencies have been at the forefront of many high profile scandals, consumers still flock to them. For example, celebrities including Hailey Welch (colloquially known as “Hawk Tuah girl”), Logan Paul, and Jason Derulo have been criticized for allegedly goading consumers into …

Confronting Imitation: Questioning Fair Use After Warhol, Genevieve Stegner-Freitag

William & Mary Bill of Rights Journal

The Constitution’s Intellectual Property Clause (IP Clause) contains a mandated goal of “progress” for copyright. Efforts to address what progress means move between some understanding it to be a specific Enlightenment-oriented term, progress as a forward-moving, Judeo-Christian ideal, to others viewing the term as strictly economic, understanding the goal of copyright is to get as many different products in the market as possible. Defining what progress means in copyright law is a necessary step, as courts are increasingly considering market forces in granting or denying authorial property rights. This Note addresses what progress means, how imitative art factors in, and …

Lonp1 Variants Are Associated With Clinically Diverse Phenotypes, Randee E Young, Lu Qiao, Rebecca Hernan, David A Sweetser, Jessica L Waxler, Daryl A Scott, Tiana M Scott, Seema R Lalani, Mahshid S Azamian, Jill A Rosenfeld, Bret Bostwick, Lindsay C Burrage, Lance H Rodan, Bianca E Russell, Marina Dutra-Clarke, Michael Kruer, Somayeh Bakhtiarim, Hossein Darvish, David J Amor, Shamima Rahman, Karen Stals, Lisa Bradley, Susan Byrne, Leandra K Tolusso, Beatrix Wong, Laura Benedict, Kimberly Wallis, Kestutis Micke, Cindy Colson, Thomas Smol, Sabrina V Southwick, Kristen A Miller, Michelle L Kush, Odelia Chorin, Annick Rothschild, Wei Wang, Yufeng Shen, Wendy K Chung

Faculty, Staff and Students Publications

LONP1 encodes a mitochondrial protease essential for protein quality control and metabolism. Variants in LONP1 are associated with a diverse and expanding spectrum of disorders, including Cerebral, Ocular, Dental, Auricular, and Skeletal anomalies syndrome (CODAS), congenital diaphragmatic hernia (CDH), and neurodevelopmental disorders (NDD), with some individuals exhibiting features of mitochondrial encephalopathy. We report 16 novel LONP1 variants identified in 16 individuals (11 with NDD, 5 with CDH), further expanding the clinical spectrum. Structural mapping of disease-associated missense variants revealed phenotype-specific clustering, with CODAS variants enriched in the proteolytic chamber and NDD variants more broadly distributed. CODAS is caused by biallelic …

External Validation Of Calculator For Cesarean Delivery During Induction Of Labor, Claudia J Ibarra, Rachel L Wiley, Han-Yang Chen, Estefania Guthrie, Ipsita Ghose, Hector Mendez-Figueroa, Suneet P Chauhan

Faculty, Staff and Students Publications

Objective: To validate a published risk calculator to predict cesarean delivery (CD) among singletons undergoing induction of labor.

Methods: Our retrospective cohort study included singletons undergoing induction of labor. A predicted CD score was calculated for each individual based on a previously developed calculator. External validation of the calculator was assessed by the discriminative power of the model by using the area under the receiver operating characteristic curve, and by a calibration curve. The score was categorized as less than 10%, 10% to less than 30%, and 30% or greater. The primary outcome was CD. The secondary outcomes were a …

Concurrent Vulvar Vitiligo And Lichen Sclerosus: The Importance Of Melanocyte-Specific Immunostains In Resolving Diagnostic Ambiguity, Nabor S Mireles, Kaitlyn Levett, Annie Dai, Abdul Hafeez Diwan, Omid Jalali

Faculty, Staff and Students Publications

Vitiligo and lichen sclerosus (LS) are autoimmune dermatoses that may share overlapping clinical and histopathologic features, posing diagnostic challenges when they occur concurrently. We report a biopsy-confirmed case of vulvar vitiligo and LS in a 61-year-old woman presenting with pruritic, depigmented patches on the labia majora and minora. Histopathologic examination showed epidermal thinning with papillary dermal hyalinization and a dense, band-like lymphocytic infiltrate consistent with LS. Melan-A immunostaining demonstrated a complete absence of epidermal melanocytes, confirming concurrent vitiligo rather than LS-related post-inflammatory hypopigmentation. This case underscores the importance of correlating subtle clinical clues with melanocyte-specific immunostains to distinguish coexistent vitiligo …

Differentiated Instruction For Multilingual Learners: A Thematic Analysis Of Research And Practice, Mohsine Bensaid, Jiayuan Jiang

Journal of English Learner Education

Differentiated instruction (DI) is widely promoted as a means of supporting diverse learners, yet its enactment for multilingual learners (MLs) remains uneven and under-theorized in mainstream classrooms. This study examines how DI is conceptualized and implemented to support MLs by attending to learners’ linguistic, cultural, and academic profiles. Using reflexive thematic analysis, this qualitative synthesis examines 20 peer-reviewed empirical studies published between 2010 and 2024 in English-medium K–12 contexts in the United States, with particular attention to elementary settings when specified. Analytic interpretation was supported by practitioner-based reflection functioning as an interpretive lens rather than a separate data source. Four …

Section 302(A)'S "Arising From" Nexus Element: Need For A Tune-Up In The Aftermath Of Ford Motor?, Michael J. Hutter

Pace Law Review

This article traces the historical development of the “arising out of” and “relate to” nexus requirements, examines the evolution of state long- arm statutes following International Shoe Co., and analyzes the origins and judicial interpretation of C.P.L.R. § 302(a). It argues that New York’s statutory scheme no longer fully reflects the constitutional scope of specific jurisdiction as articulated by the Supreme Court. The article concludes by proposing a legislative amendment to C.P.L.R. 302(a) to add the phrase “relate to,” thereby aligning New York’s long-arm statute with Due Process and better effectuating the statute’s underlying purpose of affording New York residents …

Informing Consumer Product Sound Quality Analysis Using Generative Adversarial Networks, Daniel Jeffery Lesko, Vinh Nguyen

Michigan Tech Publications

Sound quality attributes have been proven important predictors of customer satisfaction with consumer goods and appliances. The results of several studies indicate that level-based, tonal, and temporal aspects of sound influence the perceived quality of consumer products. The current state-of-the-art of inferring consumer satisfaction with sound attributes is based on the jury test methodology. However, product engineers often find the models generated from these studies incomplete, resulting in products that fail to meet consumer expectations. Therefore, this study aims to utilize generative data-driven approaches to create a range of acceptable sound quality attributes given consumer satisfaction requirements. A baseline sound …

Social Media And E-Cigarette Use In Youth: Does Depression Play A Mediating Role?, Soumya Upadhyay, Mohammad Karim, Shivank Chhaya

Healthcare Administration and Policy Faculty Research

About 28% of middle and high school students report the use of e-cigarettes per the 2019 NYTS survey. Social media can seclude a youth into limited set of beliefs, including affirmation for e-cigarette use. Internalizing problems like depression may be due to overuse of social media, and youth with depressive symptoms are more likely to use e-cigarettes to cope. National Youth Tobacco Survey (NYTS) 2023 data was used (n = 18 143) in a cross-sectional design. Ever e-cigarette use was the binary (Y/N) dependent variable. Independent variable, social media use, was categorized as “never,” “nondaily,” “daily.” Mediator variable, presence of …

Factors Affecting The Adoption Of Artificial Intelligence-Driven Wearable Technology In The Malaysian Healthcare Sector: A Conceptual Framework, Syeda Hafsa Rizwan, Anusuyah Subbarao, Nasreen Khan, Farrukh Ahmed Khan, Shaikh Fazlur Rahman, Nimra Aziz, Syed Muntazir Azhar Shah

International Journal of Management, Finance and Accounting

This conceptual paper examines the adoption of Artificial Intelligence (AI)-driven wearable technology, including smartwatches, fitness trackers, wearable ECGs, glucose monitors, and pain management devices, in transforming healthcare in Malaysia. Despite the extreme potential to enhance patient care and healthcare monitoring, the adoption of AI-driven wearable technology remains limited due to several persistent barriers. The purpose of this study is to examine these challenges and propose a framework to improve the integration of AI-driven wearable technology in Malaysia’s healthcare system. Grounded in the Diffusion of Innovation (DOI) theory, this study examines how five key innovation attributes —relative advantage, compatibility, complexity, trialability, …

Influence Of Time Management Skills And Technostress On Academic Performance Among The Private University Students: A Conceptual Framework, Jogtika Ramasamy, Nasreen Khan Thandar Oo

International Journal of Management, Finance and Accounting

Digital tools enhance learning but can also cause technostress, which can impact focus and academic performance. Balancing technology use with effective time management and social engagement is key to student success. Students in Malaysia's Klang Valley reported increased feelings of loneliness, mental health issues, and technostress, particularly as a result of the shift to online learning. This study aims to propose a conceptual framework based on the Study Demand-Resources Theory, examining how time management skills and technostress dimensions influence academic performance through the mediating role of student engagement. A quantitative and cross-sectional survey will be conducted by distributing Likert scale …

Innovative Approaches To E-Grocery: Analyzing Customer Satisfaction In Facebook Livestream Shopping, Karen Tien Wan Lin, Vincent Oh Kim Seng, Hasliza Hassan, Shaikh Fazlur Rahman

International Journal of Management, Finance and Accounting

The primary objective of this study is to examine the crucial determinants that influence customer satisfaction in Facebook livestream e-grocery shopping in Malaysia, with a particular focus on housewives as a significant consumer segment. A sample of 220 respondents was selected using simple random sampling, and the data was analyzed using the Statistical Package for the Social Sciences (SPSS). The analysis confirms the hypotheses that customer satisfaction in Facebook Livestream e-grocery shopping was influenced by factors such as product quality, security, website design, delivery service and e-service quality. Interestingly, three factors, including information quality, payment method, and product variety, were …

Digital Marketing And Consumer Behaviour In Travel Services: A Conceptual Framework On The Mediating Role Of Brand Trust, Omar Abdulaziz Sultan Abdullah, Junainah Binti Mohd Mahdee, Nurazlin Binti Mohd Fauzi

International Journal of Management, Finance and Accounting

Digital marketing shapes each moment of the contemporary travel journey, yet limited evidence still obscures how individual tactics foster purchase decisions. This conceptual study will develop an integrative framework that integrates four core touch-points, including social media marketing, email marketing, search engine marketing, and online reviews on travellers’ purchase intentions, positing brand trust as the central psychological mechanism. Guided by the Stimulus-Organism-Response theory, thirteen propositions will specify both the direct effects of each touch-point on trust and purchase intention, and trust as a mediator role. To demonstrate the mechanism for empirical validation, future research will conduct a purposive sampling of …

Dsmc: A Statistical Mechanics Perspective, Alejandro Garcia

Faculty Research, Scholarly, and Creative Activity

This paper presents a perspective in which Direct Simulation Monte Carlo (DSMC) is viewed not in its traditional role as an algorithm for solving the Boltzmann equation but as a numerical method for statistical mechanics. First, analytical techniques such as the collision virial and Green-Kubo relations, commonly used in molecular dynamics, are used to study the numerical properties of the DSMC algorithm. The stochastic aspect of DSMC, which is often viewed as unwanted numerical noise, is shown to be a useful feature for problems in statistical physics, such as Brownian motion and thermodynamic fluctuations. Finally, it is argued that fundamental …

Optimized Deep Learning Framework With H2o For Lung Cancer Prediction, Walaa Hassan Ibrahim, Mohamed S. Saraya, Sally M. Elghamrawy, Ali I. Eldesouky

Mansoura Engineering Journal

The automatic diagnosis of lung cancer using chest X-ray (CXR) images has significantly advanced with progress in computing, machine learning, and deep learning. However, detecting lesions and nodules remains challenging due to CXR limitations. Early lung cancer detection is critical for successful treatment, but current AI algorithms often rely on large annotated datasets, which are not always available. To address this, a novel multi-classification deep learning framework is proposed that combines CXR and CT images. This approach leverages the detailed feature detection capabilities of CT scans alongside the complementary views from CXRs, improving early-stage lung cancer detection and classification precision. …

Artificial Intelligence And Employee Well-Being: A Systematic Literature Review, Dombagaha Pathiranage Marian Shavini Medonka Peiris

International Journal of Management, Finance and Accounting

Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersection of AI and well-being is growing, empirical research in this domain remains limited and underdeveloped. This study's primary objective was to assess the current knowledge in this domain, with a secondary aim of identifying critical research gaps to inform future investigations. Adhering to PRISMA guidelines, this systematic literature review analysed 23 empirical studies published between 2015 and 2025, sourced from the Lens.org and ProQuest databases and was guided by the Job Demands Resources (JD–R) model. …

Advances In Culture, Tourism, And Hospitality Research: Volume 1, Cihan Cobanoglu, Hanqin Qiu, Jiaying Lyu, James H. W. Shen

University of South Florida (USF) M3 Publishing

This is the first volume of the Advances in Culture, Tourism, and Hospitality Research Book Series.

Exploring The Pathways Of Artificial Intelligence And Sustainable Development In The Era Of Industrial Revolutions: A Bibliometric Analysis And Future Research Agenda, Xu Bin, Teh Sin Yin, Sajal Saha

International Journal of Management, Finance and Accounting

Artificial Intelligence (AI) is playing an increasingly pivotal role in driving innovation and promoting sustainable development across various sectors amid the ongoing wave of industrial revolutions. However, the existing research lacks a systematic and quantitative overview of how AI contributes to sustainability goals. This study addresses this gap by conducting a bibliometric analysis of 101 articles from the Web of Science Core Collection, using the keywords “sustainab*”, “artificial intelligence”, and “industrial revolution”. Analytical tools such as VOSviewer and Scimago Graphica were employed to generate keyword co-occurrence maps, publication trends, and research collaboration networks. The results show that scholarly interest in …

Drawing Inspiration From The Magic Of The Unconscious In The Surrealist School, In The Works Of Jamil Jamoudi And The Works Of Aminollah Rezaei: A Comparative Study, Bashar Noumi

Journal of Language, Literature, and Arts

This paper provides a comparative analysis of the embryonic Surrealism of two well-known figures of the era: Jamil Hamoudi, an Iraqi surrealist artist, and Aminullah Rezaei, an Iranian surrealist artist. The results found that Surrealism in Iraq associated itself with cultural identity and sacred symbolism, unveiling Hamoudi as the merger of geometry, calligraphy, and warm colours, towards reshaping the collective unconscious and reformulating Eastern spirituality in a modernist fashion. While Surrealism itself was an American import, Surrealism in Iran was contained within a frame of clinical satire, with Rezaei using hybrid bodies and anatomical distortions within realism and fantasy to …