Digital Commons Network^™

A Brief Summary Of Albert Camus’S “The Myth Of Sisyphus”, Irma Mosqueda Perez

Philosophy - All Scholarship

In the first pages of The Myth of Sisyphus, Albert Camus chooses to discuss beliefs and values, before diving deep into his theory on absurdism. His purpose is to set the groundwork for his future ideas on the meaning or rather, the lack of meaning of life. So he begins, piece by piece assembling the big puzzle that ends in his theory of philosophical absurdism and continues with an evaluation of the central question of this book: is suicide a justified approach when facing life? In this essay I plan on doing an exposition of the main points of Camus’s …

Faithful Ole Miss Alumnus Pays It Forward, Bill Dabney

University of Mississippi News

OXFORD, Miss. – For Rob Whorton, supporting the University of Mississippi is not just about giving back; it is about paying forward opportunities that shaped his lifetime and honoring his father, who taught him the value of education.

Consciousness And Knowledge Organization In Lis: Online And Offline Bubbles Of Experience, Arwa Alsultan

Library Philosophy and Practice (e-journal)

Knowledge organization (KO) systems such as the Dewey Decimal Classification (DDC) structure human knowledge primarily through disciplinary subject relationships, leaving the subjective, experiential dimension of knowledge engagement largely unexamined. This conceptual study extends David Gamez's (2018) distinction between "online" (environmentally-coupled) and "offline" (environmentally-decoupled) bubbles of experience into Library and Information Science (LIS), proposing that DDC's ten main classes can be interpreted as differing in the dominant mode of conscious engagement they require. Drawing on Integrated Information Theory, Global Workspace Theory, and Default Mode Network research, the study maps each DDC class onto this experiential spectrum and examines the cognitive capacities …

Rethinking Nuclear Liability In The Age Of Small Modular Reactors, Isabella Klesmith

NULR Online

No abstract provided.

Dynlp: Parallel Dynamic Batch Update For Label Propagation In Graph-Based Semi-Supervised Learning, S. M. Shovan, Arindam Khanda, S. M. Ferdous, Sajal K. Das, Mahantesh Halappanavar

Computer Science Faculty Research & Creative Works

Semi-supervised learning aims to infer class labels using only a small fraction of labeled data. In graph-based semi-supervised learning, this is typically achieved through label propagation to predict labels of unlabeled nodes. However, in real-world applications, new data often arrives in batches, and stale data often becomes irrelevant. Each time a new batch appears, reapplying the traditional label propagation algorithm to recompute all labels is redundant, computationally intensive, and inefficient. To address the absence of an efficient label propagation update method, we propose DynLP, a novel GPU-centric Dynamic Batched Parallel Label Propagation algorithm that performs only the necessary updates, propagating …

Enhancing Construction Simulation Optimization Performance Through Variance Reduction Techniques, Mohammed Mawlana, Amin Hammad

College of Architecture and the Built Environment Faculty Papers

Simulation optimization has been used to analyze construction operations and support planning decisions under uncertainty. It enables the identification of effective planning strategies throughout a project’s lifecycle. However, the use of stochastic simulation to evaluate alternative strategies results in higher computational demands and the generation of inferior solutions within the resulting optimal solutions. This study examines the feasibility of overcoming these issues by implementing variance reduction techniques into a discrete-event simulation optimization framework. Three variance reduction techniques are evaluated in a case study: Common Random Numbers, Antithetic Variates, and a combined application of both. While these techniques are well established …

3d Semi-Analytical Thermo-Elasto-Plastic Model For Additive Manufacturing, Tao Liu, Ming C. Leu, Edward C. Kinzel, Chinedum Okwudire

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In additive manufacturing (AM), stress field drives distortion and warping and promotes delamination and cracking. Fast, accurate stress prediction is therefore essential for AM process planning and control, including real-time adaptive control, AM digital twins, data-driven and physics-driven workflows. However, spot-wise thermo-elasto-plastic finite element method (FEM) are often too slow for design iteration or real time use. Existing semi-analytical thermo-elasto-plastic approaches achieve high speed but are largely limited to 2D. In this paper, a full 3D semi-analytical thermo-elasto-plastic model for AM is built. The method uses a spot-wise analytical thermal field as the load and computes displacements and stresses via …

Developmental Stability Of Task-Rest Neural Efficiency In Youth Using A Threat And Cognitive Control Task, Parmis Khosravi, Julia O. Linke, Anjali D. Poe, Chase Antonacci, Reut Naim, Elise M. Cardinale, Katharina Kircanski, Anderson M. Winkler, Nathan A. Fox, Daniel Samuel Pine, Simona P. Haller

School of Medicine Publications

Behaviors arise from coordinated neural activity across diverse spatial and temporal scales. Prior work has linked better task performance and cognitive functioning to patterns of global network connectivity requiring minimal reconfiguration when switching between task demands. This metric indexing similarity in functional connectivity across task and rest has been termed “neural efficiency.” Here we assess stability of neural efficiency over approximately 3 years in adolescence, specificity across two task-rest combinations and associations with anxiety. At approximately age 16 and/or 19, 95 participants completed a resting state scan alongside a cognitive control and/or threat task. Neural efficiency was quantified as partial …

Role Of Guidelines, Legislation, Litigation And Mechanisms For Sudep Communication In The Uk And In The Usa: A State-Of-The-Art Review, Rohit Shankar

Peninsula Medical School

IntroductionSudden unexpected death in epilepsy (SUDEP) remains a leading cause of premature mortality in people with epilepsy despite decades of research and guideline development.MethodsThis state-of-the-art narrative review synthesises multidisciplinary evidence from clinical guidelines, epidemiology, legal frameworks, policy initiatives, and advocacy sources in the United Kingdom (UK) and United States of America (USA). The review is structured to examine current practice (“where are we now”), evolution of influencing mechanisms (“how did we get here”), and future directions for improving SUDEP prevention (“where should we go next”).ResultsWhere are we now SUDEP risk communication remains inconsistent despite clear guideline recommendations. Implementation is hindered …

Purification And Concentration Of Model Viruses Using Single-Pass Tangential Flow Filtration, Luis Alberto Mejía-Manzano, Lynn M. Manchester, Grace Wallis, Kan Wang, Bruce Lee, Michael Betenbaugh, Caryn Heldt

Michigan Tech Publications

The vaccine and viral vector industry is growing at an accelerated rate. To improve harvest and purification processes, the development of continuous membrane-based operations, such as normal flow filtration (NFF) and single pass tangential flow filtration (SPTFF) for concentration were explored. This work was conducted using two model viruses, non-enveloped porcine parvovirus (PPV) and enveloped Suid herpesvirus (SuHV). The viruses are in the same family as the gene therapy vectors adeno associated virus and herpes simplex virus, respectively. SPTFF design started with batch TFF for membrane selection. Hollow fiber membranes with a 100 and 300 kDa molecular weight cut off …

A Dual-Crosslinked Metallo-Elastomer Platform For Architecture-Directed Vascular Remodeling, Narangerel Gantumur, Shuhao Jiao, Xiaochu Ding, Simon Van Herck, Isabella Frangiosa, Emily Kopchick, Caitlin Maureen Purdy, Ty Walker, Aarati Kharal, Ying Grace Chen

Michigan Tech Publications

The engineering of durable small-diameter vascular grafts remains constrained by the challenge of simultaneously achieving mechanical robustness, controlled degradation, and instructive scaffold architecture. Here, we report a programmable dual-crosslinked metallo-elastomer platform, poly(1,3-propylene itaconate-co-2,2′-bipyridine-5,5′-dicarboxylate-co-succinate-co-sebacate) (M-PBIS), that integrates dynamic metal–ligand coordination with covalent crosslinking to enable orthogonal control over network mechanics, time-dependent viscoelastic behavior, and processability. PBIS polymers were synthesized by modular step-growth polyesterification, allowing independent tuning of backbone composition, bipyridine ligand density for metal coordination, and alkene (C = C) content for covalent crosslinking. This multidimensional design space allowed systematic tuning of tensile elastic modulus (0.06–3.2 MPa), extensibility (53%–491%), toughness (66–1339 …

High-Order Brain Interactions During Ketamine-Induced State Changes: A Functional Marker Of Response In Late-Life Treatment-Resistant Depression?, Krisha Shah, Rubén Herzog, Alan C Swann, Brittany O'Brien, Rahul Balakrishnan, Sanjay J Mathew, Nicholas Murphy

Faculty, Staff and Students Publications

Ketamine is a fast-acting intervention for treatment-resistant depression (TRD), yet only a subset of patients show robust clinical response, and the underlying neural mechanisms remain unclear. High-order interactions (HOI) derived from multivariate information theory provide a framework for examining nonlinear dependencies among brain regions beyond pairwise connectivity. One such metric, the O-information, captures the balance between synergistic and redundant interactions across three or more variables. In this secondary analysis of a randomized, double-blind, midazolam-controlled trial (NCT02556606), we examined EEG-derived HOI in 30 late-life veterans with TRD following a single 40-minute intravenous infusion of ketamine (0.1, 0.25, 0.5 mg/kg; n = …

Community Ai Resilience: A Five-Pillar Framework For Preparing Communities For An Ai-Transformed World, Robin D. Anderson, Nicholas A. Curtis

Faculty Scholarship

Current artificial intelligence readiness strategies focus almost exclusively on two priorities: expanding access to AI tools and developing a technical workforce. While necessary, these efforts are insufficient. AI seems likely to transform how people work and, with that, to reshape how individuals derive meaning, how families function, and how communities organize. This paper presents the Community AI Resilience Framework, a five-pillar model addressing the human systems dimensions of AI transformation: (1) Economic Resilience and Regulatory Adaptation; (2) Social Cohesion and Belonging Infrastructure; (3) Psychological Resilience and Identity Reconstruction; (4) Civic and Educational Renewal; and (5) Ecological and Leisure Commons Management. …

The Double Attraction Paradox, Rem Jaen D. Krafft

Publications and Research

The Double Attraction Paradox is a podcast series that teaches adolescents how to navigate attraction through body language, limerence, and mirroring while understanding the psychology behind emotional connection. It is a manuscript that combines personal experience, observations, and research, inspired by Rem Jaen D. Krafft's high school crush. Not only does it provide a guide for teenagers and young adults, but it also encourages readers to better understand attraction, communication, and emotional development. The final chapter examines how peer pressure, traditional high school cliques, fear of rejection, and fear of intimacy may influence societal norms, emotional contagion, and relationship formation …

Recent Advancements In The Characterization Of Archaeological Wood, Amir Ghavidel, Reza Hosseinpourpia, Jianhui Zhou

Michigan Tech Publications

Archeological wood is a vital organic archive, yet its degraded state challenges traditional methods for species identification, provenance resolution, and decay assessment. This review synthesizes state-of-the-art advances—integrating artificial intelligence, isotopic systems, and molecular biology—and proposes a four-tier hierarchical diagnostic framework that moves the field from qualitative description to quantitative, high-resolution analysis. Landmark case studies demonstrate how multi-scalar data fusion provides mechanistic understanding of structural decay inaccessible through conventional approaches.

The Business Next Door: How The Essenburgs Became The Chick-Fil-A Of The Car Wash Industry, Steve Vanderveen

University Faculty Publications and Creative Works

It is difficult to imagine a more entrepreneurial family than the Essenburgs.

Synergistic Effects Of Arbuscular Mycorrhizal Fungi And Foliar Nitrogen–Phosphorus Application On Maize Productivity Under Irrigated And Rainfed Conditions, Mst. Lailatul Ferdows, Saima Biswas, Mizanur Rahman, F. M.Jamil Uddin, Md. Nayan, Aporna Tabassum Api, Mohaiminul Islam, Nadia Islam, Swapan Kumar Paul, Md. Harun Rashid

School of Earth, Environmental, & Marine Sciences Faculty Publications

A field experiment was conducted at the Agronomy Field Laboratory of Bangladesh Agricultural University to evaluate the effects of arbuscular mycorrhizal fungi (AMF) inoculation and foliar supplementation of nitrogen (N) and phosphorus (P) on the performance of maize (Zea mays L.) under irrigated and rainfed conditions. The experiment followed a randomised complete block design with two levels of AMF (inoculated and non-inoculated) and four foliar treatments (no N and P, N only, P only, and combined N + P). The recommended dose of fertiliser (RDF) was applied as a soil application to all treatments. AMF inoculation significantly increased grain yield …

International Fantasy Literature Conference Headed To Weatherford - Weatherford Daily News, Phillip Fitzsimmons, David Topolewski, Liliana Walker

Faculty Articles & Research

This article was written by David Topolewski of Weatherford Daily News about the upcoming conference, MythCon 54, that is coming to Weatherford on July 24 - 27. Pictured is SWOSU Archivist Phillip Fitzsimmons discussing the conference with WDN Staff Writer Liliana Walker.

The Coupled Hydrology–Human Activity Information (Chhai) Dataset: A Global Benchmark Dataset For Model Comparison And Evaluation, Azara Boschee, Aneseh Alborzi, Augustina Clara Alexander, Berit Arheimer, Salsebil Bel Hadj Ali, Günter Blöschl, Andrea Castelletti, Xi Chen, Aniya Dogra, Erhu Du, Jesse Duku, Aldo Fiori, Margaret Garcia, Salvatore Grimaldi, Naota Hanasaki, Yeonjoo Kim, Heidi Kreibich, Chenyuan Li, Ali Mehran, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

To enhance hydrologic modeling, the hydrology community has developed benchmark datasets (e.g. Model Parameter Estimation Experiment, MOPEX), providing standardized data for model evaluation and parameter estimation. However, these datasets primarily focus on modeling natural hydrologic processes, leaving a critical gap in understanding the role of human influences. Here, we introduce the Coupled Hydrology-Human Activity Information (CHHAI) dataset, a benchmark dataset that integrates coupled human–water data from regions across all continents, excluding Antarctica. CHHAI incorporates data from 25 regions that cover various human impacts such as reservoir management, flood protection, river management policies, land use changes, and water use. Each basin …

Beyond Step Counts: Dual Perspectives On Designing Interactive Technologies To Support Outdoor Movement In Older Adults, Fatima Badmos, Emma Murphy, Peterson Jean, Damon Berry

Research Outputs: 2025-Present

Outdoor movement supports older adults' health and wellbeing, yet participation is constrained by environmental, physical, and social barriers. Existing technologies often prioritise clinical risk management and quantified functional metrics, and rarely integrate older adults' lived experience alongside physical activity experts' perspectives in early design. We conducted four focus group workshops with 24 urban dwelling older adults (63 to 91 years) and semi structured online interviews with 11 physical activity experts. Data were analysed using thematic analysis and grounded theory coding, then triangulated to identify convergent themes, divergent perspectives, and complementary views. Key tensions concerned risk management versus independence, clinical benchmarks …

Perez V. Meisner

All Decisions

In this HP proceeding, a default order and money judgment had been entered against Respondent-owners before they appeared by counsel. The court vacated the default judgment, finding Respondent-owners presented a reasonable excuse for their non-appearance and a meritorious defense. The court reaffirmed the April 2025 order to correct and allowed Respondent-owners to file a late answer.

Reducing Communicable-Disease Risk After Earthquakes: Vaccination And Prevention Lessons For Venezuela's Doublet, Alfonso J Rodriguez-Morales, Ivan Arturo Rodríguez-Sabogal, Adriana Sucari, Wendy Moncada, Lili Vanessa Hernández-Serrano, Florencia Escarrá, Pasesa Pascuala Quispe-Torrez, Francisco Javier Membrillo, Tomás Orduna, Susana Lloveras, Tânia S S Chaves, Miguel M Cabada, Cecilia Perret, René Echavarría, Ana F Ribeiro, Melinda Tanabe, Fernando Bazzino, Maximiliano Ramirez, Baruch Diaz, Karen Mirna Loro Morejón, Karen Daly, Reinaldo Rosas, Maria Belen Lopez, Cristina Miranda, Marisa Liliana Fernandez, Yasemin Özsürekçi, Wasin Matsee, Yenddy Carrero, Cristian Biscayart, Sergio Cimerman, Maria L Avila-Aguero, Roberto Debbag, Jose Brea, Alejandro Risquez, Jaime David Acosta-España, Rolando Ulloa-Gutierrez, Carlos Espinal, Carlos N Torres-Martinez, Marta González-Sanz, Aula Abbara, Jill Weatherhead, Bernal Cordero, Virgilio Lezcano, Amanda Guerrero, Herberth Maldonado, Luis Cuellar, Ines Ceron, Yori Roque, Melisa Florentin, Rosa Infante, Ana Carvajal, Lily M Soto-Ávila, Marbelys Hernández, Hector Villaroel, Gianmary Miozzi, Rafael Navas, Moraima Hernández, Carlos Pérez-Vega, Manuela Mérida, David A Forero-Peña, Juan-Carlos Navarro, Claudia Beltrán-Arroyave, Mario Masana

Faculty, Staff and Students Publications

No abstract provided.

Research Competence, Technology Skills As Correlates For Job Satisfaction Among Librarians In Universities In Delta State, Oghuvbu Blessing

Library Philosophy and Practice (e-journal)

Librarians perform academic and professional functions in universities, which require them to have job satisfaction for effective job performance. This study worked at the intersection of research competencies, technological skills and job satisfaction among librarians in universities in Delta State, Nigeria. The population of the study was the entire 81 librarians in universities in the state. A total population sampling was adopted. Data collected using a structured questionnaire was analysed using mean and standard deviation. The study found a high level of research competence, technology skills, and job satisfaction among the librarians in the universities. Conclusion the study found that …

Advancing Bioinformatics With Language Models: Components, Applications, And Perspectives, Jiajia Liu, Mengyuan Yang, Yankai Yu, Haixia Xu, Tiangang Wang, Kang Li, Xiaobo Zhou

Faculty, Staff and Student Publications

Large language models (LLMs) are deep learning-based artificial intelligence models that have achieved remarkable success in natural language processing. Typically composed of neural networks with billions of parameters, they are trained on massive unlabeled datasets using self-supervised or semi-supervised learning. Beyond language, LLMs hold immense potential for addressing complex bioinformatics challenges. This review provides a comprehensive overview of transformer-based model applications in genomics, transcriptomics, proteomics, drug discovery, and single-cell analysis. We discuss critical components, including tokenization strategies for diverse biological data, transformer architectures, attention mechanisms, and pretraining approaches. We also survey currently available foundation models and their downstream applications across …

Ai-Resistant And Ai-Resilient Assessment In Higher Education: A Systematic Review Of Validity-Grounded Strategies, Institutional Frameworks, And Equity Implications, Asrat Genet Amnie

Publications and Research

The emergence of large language models has precipitated a fun damental disruption to higher education assessment. Conventional instruments are susceptible to AI-assisted completion, threatening construct validity across disciplines and institutional contexts. When submitted work reflects AI capability rather than student competency, the inferential chain from performance to qualifica tion is invalidated – a problem of design rather than detection. This systematic review makes two contributions. First, it theorises and grounds the distinction between AI-resistant assessment, which seeks to prevent or impede AI access through containment, and AI-resilient assessment, which assesses genuine human cogni tive performance of intrinsic educational value regardless …

Efficient Dynamic Mechanism Design Without A Common Prior, Dirk Bergemann, Marek Bojko

Cowles Foundation Discussion Papers

We study efficient dynamic mechanism design with independent private values when agents do not share a common prior over the stochastic environment. Each agent privately observes the stochastic kernel governing the evolution of her own type and may hold arbitrary beliefs about the kernels of others. We extend the agents’ type space to include the kernel itself and show that the dynamic team mechanism of Athey and Segal (2013) and the dynamic pivot mechanism of Bergemann and Välimäki (2010) implement the socially efficient allocation in periodic ex-post equilibrium. We further show that kernels can be elicited only once, at the …

Clinical Outcomes After Ulnar Collateral Ligament Reconstruction With Palmaris Longus Versus Gracilis Autograft In Baseball Players: A Cohort Analysis, Michael C. Ciccotti, Brooks Martino, Frank Cautela, Nathaniel Tchangou, Daniel Kwak, Eric Didomenico, Harrison S. Fellheimer, Christopher C. Dodson, Steven B. Cohen, Michael G. Ciccotti

Rothman Institute Papers

BACKGROUND: Ulnar collateral ligament (UCL) reconstruction (UCLR) is a common procedure for overhead athletes, particularly baseball players sustaining partial or full UCL tears. Palmaris longus (PL) and gracilis (GR) autografts are the most frequently used graft sources, yet limited data compare clinical outcomes in baseball athletes.

PURPOSE: To compare patient-reported outcomes after UCLR with PL versus GR autografts in baseball players.

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

METHODS: Patients who underwent isolated UCLR with either PL or GR autograft and a minimum of 2 years of follow-up were identified. All reconstructions were performed using the Modified Jobe or …

Aberrant Ciliogenesis Induced By Enhanced Bmp Signaling Causes Heterotopic Ossification, Hiroyuki Yamaguchi, Jianbo Wang, Fangfang Yan, Jiarui Bi, Radbod Darabi, William R. Lagor, Zhongming Zhao, Aris N. Economides, Yuji Mishina, Yoshihiro Komatsu

Faculty, Staff and Student Publications

Bone morphogenetic protein (BMP) signaling is a principal driver of heterotopic ossification (HO), yet how aberrant BMP activity structurally reprograms cellular signaling machinery to develop HO remains unclear. Here, we identify BMP signaling as a direct upstream regulator of ciliogenesis that coordinates a multi-stage, pro-osteochondrogenic signaling relay during HO. Using a conditional gain-of-function BMP mouse model (Acvr1Q207D/+), we demonstrate that enhanced BMP signaling promotes primary cilium biogenesis and axonemal elongation through canonical Smad1/5/9-dependent transcriptional activation of intraflagellar transport (IFT) Ift20, a core component of the IFT machinery. Rather than operating via a singular downstream cascade, these elongated …

Multiplexed Plasmon-Enhanced Lateral Flow Assay For Early Diagnosis Of Acute Kidney Injury, Heng Guo, Yuxiong Liu, Ravi Jada, Ying Liu, Carissa Ng, Aquiles Payte, Jiaying Xu, Connor Malone, Jie Zhao, Kedhareswara Sairam Pasupuleti, Arda Aidan Arikan, Sameer Thadani, Srikanth Singamaneni, Ayse Akcan Arikan, Limei Tian

Faculty, Staff and Students Publications

Early diagnosis of acute kidney injury (AKI) remains a major clinical challenge due to the delayed and insensitive nature of conventional markers such as serum creatinine. Urinary protein biomarkers, including neutrophil gelatinase-associated lipocalin (NGAL) and cystatin C (CysC), provide earlier and complementary information on kidney injury, but their clinical translation is limited by the lack of rapid, quantitative, and multiplexed point-of-care (POC) diagnostic tests. Here, we report a multiplexed plasmonic-fluor-based lateral flow assay (p-LFA) that enables sensitive, quantitative, and simultaneous detection of NGAL and CysC. By harnessing ultrabright plasmonic-fluor nanolabels and ratiometric fluorescence analysis, the p-LFA achieves picogram-per-milliliter analytical sensitivity …

Elective Genomic Sequencing For Adults In Research, Clinical And Commercial Contexts, Michael D Linderman, Sophia M Adelson, Tala M Berro, Jennifer L Anderson, Scott D Crawford, Tshaka J Cunningham, Edward D Esplin, Altovise T Ewing-Crawford, Daiva E Nielsen, Stacey Pereira, Tara Schmidlen, Heather Andrighetti, Steven B Bleyl, George M Church, Eden V Haverfield, Madhuri Hegde, Lazaridis N Konstantinos, Paul Kruszka, Debra Leonard, Thomas May, Molly Mcginniss, Vaibhav Pandya, Eric E Schadt, Bastian Greshake Tzovaras, Bethany Zettler, Amy L Mcguire, Robert C Green

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Elective genomic sequencing (EGS) returns monogenic disease findings in multiple genes, including potentially novel variants, and may also provide participants with carrier status, pharmacogenomic and other health-related information. The PeopleSeq Study assessed participants' motivations for and concerns about EGS and the associated clinical and psychosocial outcomes across diverse EGS providers.

Methods: We administered a shared questionnaire to participants who chose to undergo EGS via 18 academic, clinical, or commercial EGS platforms.

Results: We enrolled 1575 participants, of whom 1147 (72.8%) completed a questionnaire after receiving their EGS results. A majority (60.3%) of the participants who completed a post-result questionnaire …