Digital Commons Network^™

Care For Chatbots, Peter Wills

UBC Law Review

No abstract provided.

Lying Chatbot Makes Airline Liable: Negligent Misrepresentation In Moffatt V Air Canada, Isabelle St-Hilaire

UBC Law Review

No abstract provided.

Insights Gained From Applying Molecular Techniques To Gray Triggerfish (Balistes Capriscus Gmelin, 1789) In The Mexican Caribbean, The Southern And Northwestern Gulf Of Mexico, Geaceli G. Orive

Theses and Dissertations

This study focuses on Balistes capriscus (Gray Triggerfish), a reef-associated species dependent on hard-bottom habitats in the Gulf of Mexico (GOM). Using mitochondrial DNA barcoding and phylogenetic analyses, genetic structure across four sites was assessed: Rio Grande Valley (RGV), Veracruz, Chinchorro Bank, and Xahuayxol. Samples from RGV and Veracruz exhibited limited haplotype diversity, minimal nucleotide divergence, and weak genetic differentiation-patterns consistent with recent population expansion and ongoing connectivity within the GOM. While the study centered on B. capriscus, all individuals from Chinchorro and Xahuayxol unexpectedly grouped with Canthidermis maculata (Spotted Oceanic Triggerfish), suggesting misidentification, cryptic diversity, or taxonomic uncertainty in …

2024 Annual Report Of The Collections, Metadata, & Resource Sharing Division, Maria Savova, Joshua Keyes, Candace Lebel, Casey Ann Mitchell, Melissa Perez

Library Staff Publications and Research

No abstract provided.

Socioeconomic Inequality In Child Malnutrition In Sudan: Results From The Multiple Indicator Cluster Survey (2014), Huda Mohamed Mukhtar Ahmed, Mutaz Fikri Mohamed Osman Digna

Journal of Arts and Social Sciences

This study investigates the association between nutrition indicators such as height/weight-for-age and weight-for-height with socioeconomic variables in Sudan, using the Multiple Indicator Cluster Survey data, 2014. These variables include Household's wealth quintiles, mother's highest education level, head of household's highest level of education, place of residence, age and gender of the child, region, and access sanitation facilities A concentration index and curve and a probit model used were to measure the socioeconomic inequality in under-five children malnutrition. The findings showed that the child's age (P = 0.000), mother's education of secondary and above (P = 0.046), and households’ richest quintile …

The Effect Of Diet Formulations Containing Different Protein Sources On Energy And Nitrogen Utilization In Lactating Jersey Cows, Kortney Ann Harpestad

Department of Animal Science: Dissertations, Theses, and Student Research

It is well understood that lactating dairy cows require metabolizable protein (MP) for milk yield and milk protein synthesis. Diets with conventional feed sources like corn and soybean meal (SBM) may not sufficiently meet all MP and amino acid (AA) requirements so supplementation with more rumen undegradable protein (RUP) rich feeds or rumen-protected AA can be fed to support animal performance. The growth trajectory of biofuels has resulted in dramatic increases in the production of feeds like heat treated soybean meal (HTSBM). While the chemical composition of this product is understood, there is a need to better understand how HTSBM …

Rates Of Appropriate Initiation Of Low Dose Aspirin Prophylaxis As Indicated By The Gestosis Score In Early Pregnancy: A Cross-Sectional Study, Mundlapati Usha, Nathasha Hk, Akkamma A. Satyaraddi, Geetanjali M. Katageri

Digital Journal of Clinical Medicine

Introduction: Pre-clampsia is a multisystem disorder in pregnancy. Initiating Low Dose Aspirin (LDA) in early pregnancy is recommended to prevent development of pre-eclampsia in high-risk women. Gestosis score is a simple screening tool for predicting women at risk for developing pre-eclampsia. It can be done by any health care provider even in the periphery. This study highlights the degree of awareness amongst obstetric healthcare providers in prediction and prevention of pre-eclampsia and the rates of appropriate initiation of Aspirin.

Methodology: 134 pregnant women were included in the study. The parameters for calculating the GESTOSIS score were retrieved from …

Foundations Of Quality: A Toolkit For Professional Growth In Infant/Toddler Classrooms, Amber A. Hulin

Masters Projects

This project aims to tackle the issue of inconsistencies in the educational experiences provided by many early childhood programs. This project focuses primarily on the infant/toddler age group. Chapter 1 identifies a key contributing factor in these inconsistencies: a shortage of high-quality teachers due to lack of infant/toddler focused content in teacher preparation programs and further professional development. Chapter 2 reviews the literature including what a high-quality educator is and how a high-quality educator impacts a child’s development. It also identifies the various teacher preparation programs and highlights the lack of infant/toddler content in professional development. Chapter 3 presents a …

The Need For Specialized Career Development Services For Collegiate Student-Athletes, Scott Victor-Allen Spaanstra

Masters Projects

Research has shown that college students benefit greatly from career development services provided by their university (Bridgstock et al., 2019). However, many collegiate student-athletes may find it difficult to utilize their on-campus career development resources due to additional time constraints, stress and pressure, and struggle with athletic identity (Carodine et al., 2001). This project explores the importance of specialized career development support for student-athletes at collegiate universities as specialized career development services have been shown to benefit students (Patton & McMahon, 2021). This project will introduce career development services to help student-athletes as well as provide the tools to evaluate …

Midlife Cognitive Testing In Africa: Validity Of The Harmonised Cognitive Assessment Protocol In The Kenya Life Panel Survey, Alden Gross, Madeline Duhon, Eric Ochieng, Jean Ikanga, William Dow, Jinkook Lee, Michael Walker, Michelle Layvant, Anthony Ngugi, Joshua Ehrlich

Population Health, East Africa

Objectives: Cohort studies of ageing and cognitive decline typically do not begin fielding comprehensive cognitive assessments until older adulthood. However, for identifying preventable dementia risk factors, there is strong value in beginning at earlier ages. The case is especially compelling in sub-Saharan Africa, where the number of older individuals is expected to triple in the next three decades, and where risk factors may operate more intensively at earlier ages. This study reports on the adaptation and validity of the Harmonised Cognitive Assessment Protocol (HCAP) approach in the Kenya Life Panel Survey (KLPS), collected among middle-aged respondents.

Design: To evaluate the …

Bridging The Capacity Building Gap For Antimicrobial Stewardship Implementation: Evidence From Virtual Communities Of Practice In Kenya, Ghana, And Malawi, Ana De Lima, Kwame Buabeng, Mavis Sakyi, Hope Chadwala, Nicole Devereaux, Collins Mitambo, Christine Mugo-Sitati, Jennifer Njuhigu, Gunturu Revathi, Emmanuel Tanui

Pathology, East Africa

Background/Objectives: Strengthening antimicrobial stewardship (AMS) programs is an invaluable intervention in the ongoing efforts to contain the threat of antimicrobial resistance (AMR), particularly in low-resource settings. This study evaluates the impact of the Telementoring, Education, and Advocacy Collaboration initiative for Health through Antimicrobial Stewardship (TEACH AMS), which uses the virtual Extension for Community Healthcare Outcomes (ECHO) learning model to enhance AMS capacity in Kenya, Ghana, and Malawi. Methods: A mixed-methods approach was used, which included attendance data collection, facility-level assessments, post-session and follow-up surveys, as well as focus group discussions. Results: Between September 2023 and February 2025, 77 virtual learning …

Dp-Brem: Differentially-Private And Byzantine-Robust Federated Learning With Client Momentum, Xiaolan Gu, Ming Li, Li Xiong

Faculty, Staff and Student Publications

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively while keeping their datasets local and only exchanging the gradient or model updates with a coordinating server. Existing FL protocols are vulnerable to attacks that aim to compromise data privacy and/or model robustness. Recently proposed defenses focused on ensuring either privacy or robustness, but not both. In this paper, we focus on simultaneously achieving differential privacy (DP) and Byzantine robustness for cross-silo FL, based on the idea of learning from history. The robustness is achieved via client momentum, which averages the updates of each client over time, …

Addressing Challenges In Developing Treatments For Inherited Retinal Diseases: Recommendations From The Third Monaciano Symposium, Debra A Thompson, K Thiran Jayasundera, Oleg Alekseev, Robin R Ali, Alessia Amato, Vadim Y Arshavsky, Isabelle S Audo, Alberto Auricchio, James W B Bainbridge, Eyal Banin, Cagri G Besirli, David G Birch, Kari E Branham, Artur V Cideciyan, Stephen P Daiger, Jacque L Duncan, Abigail T Fahim, John G Flannery, Roberto Gattegna, John R Heckenlively, Elise Héon, Alessandro Iannaccone, Naheed W Khan, Samer Khateb, Henry J Klassen, Bart P Leroy, Dario Marangoni, Michel Michaelides, David C Musch, Mark E Pennesi, Simon M Petersen-Jones, Eric A Pierce, Rajesh C Rao, José-Alain Sahel, Paul A Sieving, Enrica Strettoi, Cameron R Strong, Thomas J Wubben, Paul Yang, David N Zacks

Faculty, Staff and Student Publications

Over the past decade, efforts focused on developing genetic therapies for inherited retinal diseases have advanced steadily to clinical trials and the development of a treatment, fueling optimism for the potential of precision medicines to provide safe and effective therapies for these rare conditions. Although several ongoing programs remain poised for success, numerous challenges have negatively impacted the ability to obtain regulatory approvals. The present position paper briefly summarizes recent advances and challenges in developing therapeutics for inherited retinal diseases, and presents a set of recommendations for moving the field forward. The priorities identified are discussed in terms of progress …

Development Of A Multi-Institutional Dataset To Validate A Novel Inflammatory Breast Cancer Diagnostic Score, Filipa Lynce, Samuel M Niman, Megumi Kai, Sean Ryan, Elizabeth Troll, Li Li, Kathy D Miller, Reshma Jagsi, Ginny Mason, Beth A Overmoyer, H T Carisa Le-Petross, Faina Nakhlis, Savitri Krishnamurthy, Beth T Harrison, Susie X Sun, Eren D Yeh, Jennifer R Bellon, Laura E Warren, Michael C Stauder, Meredith M Regan, Wendy A Woodward

Faculty, Staff and Student Publications

Background: Susan G. Komen, the Inflammatory Breast Cancer (IBC) Research Foundation, and the Milburn Foundation convened patient advocates, clinicians, and researchers to propose novel quantitative scoring rubrics for IBC diagnosis. In this study, we developed a multi-institutional clinical dataset to test and validate the proposed scoring system.

Methods: IBC (N = 988) and non-IBC (N = 332) cases were identified at 2 institutions with dedicated multidisciplinary IBC programs. The non-IBC cohort included consecutive cT4b and cT4c patients. Standard operating procedures (SOPs) were developed for all ambiguous findings and languages. Three different methods were used for the imputation of missing data, …

White Matter Abnormalities And Cognition In Aging And Alzheimer Disease, Christopher Peter, Aditi Sathe, Niranjana Shashikumar, Kimberly R Pechman, Abigail W Workmeister, T Bryan Jackson, Yuankai Huo, Shubhabrata Mukherjee, Jesse Mez, Logan C Dumitrescu, Katherine A Gifford, Corey J Bolton, Leslie S Gaynor, Shannon L Risacher, Lori L Beason-Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Duygu Tosun-Turgut, Mohamad Habes, Di Wang, Arthur W Toga, Paul M Thompson, Panpan Zhang, Kurt G Schilling, Marilyn Albert, Walter Kukull, Sarah A Biber, Bennett A Landman, Barbara B Bendlin, Sterling C Johnson, Julie Schneider, Lisa L Barnes, David A Bennett, Angela L Jefferson, Susan M Resnick, Andrew J Saykin, Paul K Crane, Michael L Cuccaro, Timothy J Hohman, Derek B Archer, Dimitrios Zaras, Yisu Yang, Alaina Durant, Praitayini Kanakaraj, Michael E Kim, Chenyu Gao, Nancy R Newlin, Karthik Ramadass, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Seo-Eun Choi, Brandon Klinedinst, Michael L Lee, Phoebe Scollard, Emily H Trittschuh, Elizabeth A Sanders

Faculty, Staff and Student Publications

Importance: There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).

Objective: To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.

Design setting and participants: This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite z scores, demographic and clinical data, were …

Bard: A Seamless Two-Stage Dose Optimization Design Integrating Backfill And Adaptive Randomization, Yixuan Zhao, Rachael Liu, Jianchang Lin, Ying Yuan

Faculty, Staff and Student Publications

One common approach for dose optimization is a two-stage design, which initially conducts dose escalation to identify the maximum tolerated dose, followed by a randomization stage where patients are assigned to two or more doses to further assess and compare their risk-benefit profiles to identify the optimal dose. A limitation of this approach is its requirement for a relatively large sample size. To address this challenge, we propose a seamless two-stage design, BARD (Backfill and Adaptive Randomization for Dose Optimization), which incorporates two key features to reduce sample size and shorten trial duration. The first feature is the integration of …

Ppp2r1a Mutations Portend Improved Survival After Cancer Immunotherapy, Yibo Dai, Anne Knisely, Mitsutake Yano, Minghao Dang, Emily M Hinchcliff, Sanghoon Lee, Annalyn Welp, Manoj Chelvanambi, Matthew Lastrapes, Heng Liu, Zhe Yuan, Chen Wang, Hao Nie, Stephanie Jean, Luis J Montaner, Jiakai Hou, Ami Patel, Shrina Patel, Bryan Fellman, Ying Yuan, Baohua Sun, Renganayaki Krishna Pandurengan, Edwin Roger Parra Cuentas, Joseph Celestino, Yan Liu, Jinsong Liu, R Tyler Hillman, Shannon N Westin, Anil K Sood, Pamela T Soliman, Aaron Shafer, Larissa A Meyer, David M Gershenson, David Vining, Dhakshinamoorthy Ganeshan, Karen Lu, Jennifer A Wargo, Weiyi Peng, Rugang Zhang, Linghua Wang, Amir A Jazaeri

Faculty, Staff and Student Publications

Immune checkpoint blockade (ICB) therapy is effective against many cancers, although resistance remains a major issue and new strategies are needed to improve clinical outcomes1-5. Here we studied ICB response in a cohort of patients with ovarian clear cell carcinoma-a cancer type that poses considerable clinical challenges and lacks effective therapies6-8. We observed significantly prolonged overall survival and progression-free survival in patients with tumours with PPP2R1A mutations. Importantly, our findings were validated in additional ICB-treated patient cohorts across multiple cancer types. Translational analyses from tumour biopsies demonstrated enhanced IFNγ signalling, and the presence of tertiary lymphoid structures at the baseline, …

Film Measurements Of Kilovoltage X-Ray Percentage Depth Doses For Different Energies And Field Sizes, Tze Yee Lim, Dershan Luo, Jamshid Moradi-Kurdestany, Xin Wang, Ramesh Tailor

Faculty, Staff and Student Publications

Objectives: Kilovoltage x-ray therapy, which includes superficial x-rays and orthovoltage x-rays, is particularly suited for treatments near the skin surface. Radiation dose deposition at depth is typically characterized by percentage depth dose (PDD) curves. However, PDD data are difficult to obtain in kilovoltage x-ray therapy, hence clinics often rely on British Journal of Radiology Supplement 25 (BJR-25) archival data. This study measured PDD for different energies and field sizes on the Xstrahl 300 kilovoltage x-ray therapy unit for comparison with BJR-25 data.

Methods: We irradiated EBT3 film in water using different energy and field size combinations, then, compared the acquired …

Large-Scale Genome-Wide Analyses Of Stuttering, Hannah G Polikowsky, Alyssa C Scartozzi, Douglas M Shaw, Dillon G Pruett, Hung-Hsin Chen, Lauren E Petty, Alexander S Petty, Emily J Lowther, Shu-Hsien Cho, Yao Yu, Sahar Mozaffari, Christy L Avery, Kathleen Mullan Harris, Reyna L Gordon, Janet M Beilby, Kathryn Z Viljoen, Robin M Jones, Chad D Huff, Heather M Highland, Shelly Jo Kraft, Jennifer E Below

Faculty, Staff and Student Publications

Developmental stuttering is a highly heritable, common speech condition characterized by prolongations, blocks and repetitions of speech. Although stuttering is highly heritable and enriched within families, the genetic architecture is largely understudied. We reasoned that there are both shared and distinct genetic variants impacting stuttering risk within sex and ancestry groups. To test this idea, we performed eight primary genome-wide association analyses of self-reported stuttering that were stratified by sex and ancestry, as well as secondary meta-analyses of more than one million individuals (99,776 cases and 1,023,243 controls), identifying 57 unique loci. We validated the genetic risk of self-reported stuttering …

Shifting Instructional Planning Practices: Exploring High School Mathematics Teachers' Perceptions Of Integrating The Do The Math Protocol Into Collaborative Instructional Planning, Lillian M. Gordon

Dissertations

This qualitative case study explores the perceptions of high school mathematics teachers regarding the implementation of the Do the Math protocol during collaborative instructional planning. This study investigates how the use of a structured planning tool can support professional growth and instructional improvement. Over five weeks, participants engaged with the protocol to collaboratively plan instruction. Data was collected through interviews, observation of collaborative instructional planning sessions, and analysis of instructional artifacts. Findings revealed two major themes. First, the protocol contributed to building content and pedagogical knowledge by deepening teachers’ understanding of math standards, promoting intentional collaboration, and encouraging the sharing …

Characterization Of Search Spaces And Effects On Machine Learning, Leo Ghelarducci

Doctoral Dissertations and Master's Theses

The present status of the field of Machine Learning (ML) focuses on optimization of popular models. Rarely are the effects of the problem characteristics upon the solution algorithm studied. There exists no standard for knowing when to apply ML algorithms to a given problem or how to estimate the effectiveness of results. Focusing on the search space of problems, a rigorous study was conducted to generate an in-depth understanding of the impact of search space characteristics to the performance of a ML algorithm, specifically a Genetic Algorithm (GA). The effects of specific problem characteristics, represented via solution space characteristics, on …

Drift Dynamics Of Early Life-Stage Invasive Carps, Saurav Karki

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Asian carp species pose significant ecological threats to North American freshwater systems due to their invasive nature and prolific reproduction. Their semi buoyant eggs develop while drifting downstream with the river current. Understanding early life-stage transport is therefore critical for predicting recruitment potential and guiding management efforts. Existing fluvial egg drift models, including those relying on 1-D hydraulics and fully 3-D CFD-based models, are either inadequate for complex braided rivers or too computationally demanding for large-scale application. The Platte River in Nebraska, characterized by wide, shallow, multi-threaded channels, is dominated by two-dimensional flow conditions, making a depth-averaged 2-D modeling approach …

Non-Blackbox Robust Design Of Machine Learning In Networks, Venkat Sai Suman Lamba Karanam

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Networked systems have become increasingly complex, with newer communication technologies and standards being added every day. Machine Learning (ML) and Artificial Intelligence (AI) paradigms have been adopted in networks to not only solve many fundamental problems, but also to allow seamless integration of components comprising them. The saying “let’s not reinvent the wheel” in ML/AI adoption implies that model architecture design be left for pure ML/AI researchers, while network researchers focus on input preprocessing (e.g. formatting the packet data to be fed to a model), hyperparameter fine-tuning and a trial-and-error approach to find the “best” result. …

Don't Settle For Less: Incorporating Postcolonial And Settler Colonial Perspectives Into The Sociological Canon, Eli Xavier Ornelas

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

For decades now, post-/de-/settler-/ and anticolonial scholars have advanced the argument that sociology has largely failed to incorporate critical insights from theories of empire into the sociological canon. In this dissertation, I argue that introduction to sociology textbooks offer an important vantage point from which to assess conventional sociological knowledge as textbooks are often thought to be “reflections of the discipline.” I analyze the social theory and race chapters of 21 of the most often used introduction to sociology textbooks in the United States to investigate two chapters where insights from theories of empire would be present if indeed incorporated: …

Authentication And Message Integrity Verification For Emerging Wireless Networks, Ebuka Philip Oguchi

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation presents a comprehensive body of research on authentication and message integrity verification for emerging wireless networks, focusing on secret-free and physical layer security techniques across diverse, challenging, and unconventional environments.

It comprises four first-author contributions that span underground wireless systems, over-the-air (OTA) channels, vehicular communications, and nanoscale molecular networks.

The first contribution, Soil-Assisted Trust Establishment for Underground Wireless Networks (STUN), introduces a physical-layer trust bootstrapping protocol that achieves authentication and message integrity without pre-shared secrets. Leveraging underground-to-air propagation laws and trusted relay nodes, STUN resists active signal injection attacks and demonstrates security comparable to the unbalanced oil and …

The Significance Of Snow In Hydrometeorological Extremes, Sinan Rasiya Koya

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Snow is the largest natural reservoir on Earth. It accumulates water during the cold and dry months and releases it during warm and dry months. Societies, especially in the extratropical zone, heavily depend on snow as their freshwater resources, resulting in the massive economic value of snow. The recent changes in snowpacks and associated processes are concerning. We are susceptible to disruptions in snow processes, which can have disastrous implications. Yet the importance of snow is often not realized by a wider population. There are limited studies quantifying snow-related extremes, partly stemming from the limitations of existing methodologies.

This dissertation …

Rhetorics Of Encounter: Toward A Biocentric Theory Of Discourse, Matthew D. Whitaker

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Encounters with more-than-human identities are transformative moments that stand to affect dispositional and bodily change in individuals. From close brushes with wild animals in National Parks to everyday interactions with local ecologies, encounters invite us to feel and think differently about the nature of our realities. In Rhetorics of Encounter: Toward a Biocentric Theory of Discourse, I draw from interdisciplinary perspectives to disrupt the idea of rhetoric as a representational medium, arguing that rhetoric occurs not just through textual exchanges of words and symbols, but through embodied moments of contact with other responsive beings. Invoking George Kennedy’s theory …

Multivariate Mixture Regression Models With Known Group Membership And Informative Priors, Pahalapathirage Dona Kalani Hasanthika

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

We introduced couple different novel approaches to incorporate latent variable information to multivariate mixture regression models with both Gaussian and count data. We also evaluated the performance of these models with existing best approaches with simulated data from various sampling structures and also evaluated one of the models performance with rice metabolite data that provided some novel insights as well as validating existing literature about performance and behavior of these metabolites. We validated the method using extensive simulations and a real-world application. In both quantitative covariate designs and complex treatment design simulations, our method consistently outperformed established tools like limma, …

Determining The Attitudes And Knowledge Related To Sexual Health And Activity Related To Practitioner Action, Kelsey Alt, Callie Honaker, Abby Nichols, Jacob Greenfield, Diana Davis

Graduate Student Scholarship

Background: Research has found that many Occupational Therapy practitioners lack confidence, competence, and fear discussing sexual health and activity with their patients, despite many patients wanting to discuss the topic (Rose & Hughes, 2018). This previous knowledge leads to the purpose of this study, to determine if continuing education on topics related to sexual health and activity increases OTPs’ confidence, competence, and sense of importance in addressing this with patients (Rabathaly & Chattu, 2019). Methods: This study assessed pre- and post-data for each participant'scompleted course survey in the sequence of the continuing education class. All participants were de-identified …

What Values Best Distinguish The World's Cultures? The Machine Learning-Based Cultural Values Inventory, Abhishek Sheetal, Shilpa Madan, Rui Ling Lee, Krishna Savani

Research Collection Lee Kong Chian School Of Business

Scientists studying culture typically focus on a small number of theoretical constructs, such as individualism–collectivism, when seeking to explain cultural differences in psychological tendencies and behaviors. However, existing theories of culture could have missed out on important constructs that are useful for explaining cross-cultural differences. We used an abductive approach combining prediction and explanation to uncover important cultural values. In the prediction phase, based on 594 attitudes, values, and beliefs included in the World Values Survey, a neural network could classify respondents’ nationalities with 90% accuracy in out-of-sample data. In the explanation phase, a feature importance analysis identified the values …