Digital Commons Network^™

Complexity Mindsets, Complex Flow, And More: A Qualitative Grounded Theory Study On The Phenomenon Of Practitioners Working Within Complex Social Systems, Emma D. Stellman

Educational Studies Dissertations

This qualitative grounded theory study addressed gaps in the literature regarding the application of complexity theory to complex social phenomena (CSP), for which no straightforward solutions or simple interventions exist. While complexity theory has played an important role in groundbreaking innovations in quantitative fields such as medicine, engineering, and finance, its application remains limited in human-centered developmental domains including education, social work, and healthcare. Using a grounded theory design informed by phenomenological approaches, this study examined the lived experiences of a group of six CSP practitioners, each of whom participated in two individual, semi-structured video interviews. Interview data were analyzed …

Why Agtech Startups Fail? Evidence From Global Shutdown Patterns In 2025 And The Cost-Adoption Mismatch Effect, Ankit Chandra, Ishani Lal

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

Agricultural technologies are widely seen as a driver for sustainability, resilience, and food-system transformation. Yet in 2025, agtech startup across North America, Europe, Asia, and Africa experienced multiple shutdowns. Although each company closed for its own reasons, the failures highlight consistent underlying patterns. We analyze 18 publicly reported shutdowns across controlled-environment agriculture (CEA), robotics, insect protein, digital platforms, sensors, and ag-biotechnology. We find that most ventures struggled not with scientific feasibility but with economic and adoption dynamics at the farm level. We identify a Cost-Adoption Mismatch Effect, in which the capital and operational burden of a technology exceeds farmers’ capacity …

Knowledge, Attitude, And Practice Of Pharmacovigilance And Adverse Drug Reactions Reporting Among Healthcare Providers In The Middle East: A Systematic Review, Amina H. Saleem, Harith Kh. Al-Qazaz, Omer Q. Allela, Ramadan M. Elkalmi

BioMed Visions Journal

The main purpose of pharmacovigilance (PV) is to ensure medication safety through detecting, assessing, and preventing adverse drug reactions (ADRs). Healthcare providers (HCPs) are the main contributors in PV systems all over the world. However, their knowledge, attitudes, and practices (KAP) of PV and ADRs reporting vary among different medical professions and different countries.

Aim: To assess the knowledge, attitudes, and practices among the HCPs in the Middle East, toward PV and ADRs reporting.

Methods: A systematic review was performed. EBSCO, PubMed, and Semantic Scholar, FreeFullPDF and Google Scholar were searched for articles published from January 2014 to December 2024. …

Developing Pharmacy Education: Review Of Virtual Reality Technology In Improving Clinical Training And Learning Skill Development, Samer Imad Mohammed, Mohammed Khudhair Hasan, Mohammad Yawuz Jamal

BioMed Visions Journal

Incorporating modern technology into education is becoming imperative. Numerous pharmacy institutions are incorporating virtual reality (VR) technology training into their curricula to enhance educational experience. This review examines the current state, historical evolution, and application of VR programs in pharmacy education and training. The review also provides details about the main challenges and limitations associated with the use of this technology. The VR technology, including virtual laboratories and simulations, significantly improves clinical training and educational outcomes. The utilization of VR in clinical teaching encounters numerous barriers, including ethical concerns and technological constraints, as well as other restrictions in its execution …

A Systematic Review Identifying The Measures And Factors Relating To Faculty Research Success, Muhammad Salahuddin, Richard Hoberg, Robert Stupnisky

Education, Health & Behavior Studies Faculty Publications

Identification of the various methods of measuring faculty research success stands in need of better collection and summary. This study aimed to identify the measures and factors of faculty research success through a systematic review following PRISMA guidelines. Using the Boolean search, 265 studies (i.e., articles and dissertations) from four popular databases were selected for abstract screening. Thirty-six studies were selected for full-text text review, which ranged over 237,980 faculty of STEM and non-STEM areas from 29 countries. The results indicated that faculty research success is measured through several forms of academic publication including number of articles published in journals, …

Improving Stem Assessments: Strategies For Increasing The Accessibility And Adoption Of Two-Stage Exams, Kristina Callaghan

LSU Doctoral Dissertations

Over three decades of research have shown that students taught using active learning strategies achieve better learning outcomes compared to those taught using traditional methods. Two-stage exams, which pair a traditional exam with a group component, are an increasingly popular method for incorporating active learning within the assessment component of a course. Previous studies have shown this assessment strategy provides a variety of benefits for students, including increased engagement and collaboration, immediate feedback, and potentially increased content retention. However, the unique circumstances of each instructor can pose a non-trivial barrier to the implementation of two-stage exams. In this thesis, we …

Neutrosophic Hankel Transforms And Their Application To Cross-Domain Legislative Integration, Mona Gharib, Mehboob Ali, Ishtiaq Hussain

Neutrosophic Systems with Applications

This paper introduces the Neutrosophic Hankel Transform (NHT) as a novel mathematical framework for modeling systems with radial structure under uncertainty, indeterminacy, and inconsistency. Building upon classical Hankel transforms and neutrosophic logic, we define two complementary realizations: a componentwise transform (NHT–C) that transports uncertainty with the signal, and a kernel-weighted transform (NHT–K) that embeds neutrosophic weights into the integral kernel. We establish linearity, inversion, and Parseval-type relations, and derive operational rules that diagonalize the Bessel radial operator.

To demonstrate utility, we formulate a radial diffusion–reaction model for pollutant concentration in a radialized river cross-section and solve it in closed form …

Pythagorean Neutrosophic Mathematical Modelling, M. Kavitha, R. Irene Hepzibah

Neutrosophic Systems with Applications

Survey-based assessments often suffer from ambiguity, inconsistency, and uncertainty, which weaken the reliability of decision-making outcomes. To address these challenges, this study proposes a novel decision-support framework for data fuzzification, ranking, and agility measurement using Pythagorean Neutrosophic Fuzzy Sets (PNFS). The proposed method offers three major advantages: (i) enhanced ability to capture high levels of indeterminacy compared with classical fuzzy and intuitionistic models, (ii) improved ranking accuracy through a newly developed score function and ranking algorithm, and (iii) greater robustness in scenarios involving conflicting, incomplete, or imprecise expert judgments. The framework includes a refined Pythagorean Neutrosophic fuzzification technique, mathematically supported …

A Study Of Regular And Irregular Complex Neutrosophic Vague Graphs, Suriyakumar G, V. J. Sudhakar

Neutrosophic Systems with Applications

In this paper, We define the regular complex neutrosophic vague graph and the irregular complex neutrosophic vague graph for this purpose. We specify a node’s degree and total degree in a normal complex neutrosophic vague graph. A few features and theorems of those regular and irregular complex neutrosophic vague graphs are presented. This article defines busy and free nodes in a normal complex neutrosophic vague graph. Also, we describe a regular and irregular complex neutrosophic vague graph with a cycle as the underlying crisp graph.

Sustainability In Undergraduate Nursing Clinical Simulation: A Mixed Methods Study Exploring Attitudes, Knowledge And Practices, Bangyun Wang, Louise Sheehy, Astrid Frotjold, Tamara Power, Gemma Saravanos

Individual Articles

Climate change is among the greatest of threats to human health. Paradoxically the health system is a contributor to planetary degradation through emissions and waste. Climate change and sustainability are important issues for the nursing profession. We explored the impact of an education module with embedded sustainability principles in the context of clinical simulation. This mixed methods study used pre- and post-intervention waste audits and student surveys to explore attitudes, knowledge and practices relating to climate change and sustainability. The intervention, a digital clinical simulation education module, included three themes: 1) professional conduct, 2) work health and safety, 3) resource …

Anoikis Resistance And Metastasis Of Ovarian Cancer Can Be Overcome By Cdk8/19 Mediator Kinase Inhibition, Mehri Monavarian, Resha Rajkarnikar, Emily Faith Page, Asha Kumari, Liz Quintero Macias, Felipe Massicano, Nam. Y. Lee, Sarthak Sahoo, Nadine Hempel, Mohit Kumar Jolly, Lara Ianov, Elizabeth Worthey, Abhyudai Singh, Igor Roninson Ph.D., Eugenia Broude Ph.D., Mengqian Chen Ph.D., Karthikeyan Mythreye

Faculty Publications

Anoikis resistance, or evasion of cell death triggered by matrix detachment, is a hallmark of cancer cell survival and metastasis. We showed that repeated exposure to suspension stress followed by recovery under attached conditions leads to development of anoikis resistance. The acquisition of anoikis resistance was associated with enhanced invasion, chemoresistance, and immune evasion in vitro and distant metastasis in vivo. This acquired anoikis resistance was not genetic, persisting for a finite duration without detachment stress, but was sensitive to CDK8/19 mediator kinase inhibition that could also reverse anoikis resistance. Transcriptomic analysis revealed that CDK8/19 kinase inhibition induces bidirectional transcriptional …

“It Seems Like A Never-Ending Job”: Voices Of Female Caregivers Of Older Adults In The Rural Communities, Lalani Nasreen, Bhagyashree Katare, Evans Appiah Osei, Siqi Yang, Sampada Wagle, Julian L. Gallegos, Abidemi Mary Ajuwon

School of Nursing Faculty Publications

Background: Rural female caregivers of older adults face significant caregiving challenges that puts them at high risk for poor self-care and wellbeing. Limited studies have examined the self-care needs of caregivers from a gender equity and social perspective.

Objective: Our study aims to explore the self-care needs and preferences of rural female caregivers and underlying key processes contributing toward their health and well-being. Methods: A qualitative descriptive design was used for the study. A purposive sample of (n = 20) rural female caregivers was obtained. In-depth individual interviews were conducted for data collection. Each interview was about 45- 60 min …

Spectator 2026-01-15, Editors Of The Spectator

The Spectator

No abstract provided.

Codegen-3d: A Benchmark For Evaluating Llms In Zero-Shot And Iterative 3d Modeling In Blender, Hao Ji, Kotha Aditya, Sebastian Escalante, Yunjian Qiu

Faculty Research, Scholarly, and Creative Activity

Large Language Models (LLMs) that generate executable code are opening a new path to text-to-3D by converting natural language prompts into scripts for modeling software like Blender. However, there is a lack of evaluation for such methods currently. Existing benchmarks focus on direct mesh synthesis and overlook critical factors like code execution reliability and human-aligned quality. To address this gap, we introduce CodeGen-3D, a comprehensive benchmark and protocol for assessing 3D modeling via code generation. The benchmark consists of 100 diverse prompts derived from Objaverse with rich captions (Cap3D, DiffuRank, and Llama-based), a standardized Blender execution and six-view rendering pipeline, …

Comparing And Optimizing Hollow Fibre And Flat Sheet Vacuum Membrane Distillation, Hamed Kariman, Mehdi Khiadani, Hussein A. Mohammed

Research outputs 2022 to 2026

Membrane Distillation (MD) systems have the potential to tackle the growing global water demand. Within various MD systems, Vacuum Membrane Distillation (VMD) systems are particularly important in addressing this issue. Hollow Fibre VMD (HF-VMD) and Flat Sheet VMD (FS-VMD) are the two main configurations of VMD systems, where limited studies are available on their comparison and optimisation under identical operational conditions. This study firstly charts the mathematical modelling of HF-VMD and FS-VMD systems that have been developed, accounting for the amount of flux, Gain Output Ratio (GOR), Temperature Polarisation Coefficient (TPC), and Specific Thermal Energy Consumption (STEC) of both configurations …

Body Force Influence On Healthy And Diseased Red Blood Cell Sedimentation Using Multiphase Cfd Methods, Gerald Gallagher, Fergal J. Boyle

Research Outputs: 2025-Present

The accurate simulation of blood, which is a multiphase biofluid comprised of plasma and cellular components, is important for biomedical applications. Computational fluid dynamics is routinely used for blood simulation but traditionally treats the flow field as homogeneous. Red blood cell dynamics and deformation are important as they occupy approximately 45% of the volume in blood and control viscosity and non-Newtonian behaviour. Healthy and diseased red blood cells differ in shape and properties, and an understanding of the behaviour of these cells in flow allows for better insight into in-vitro and in-vivo applications such as early-stage disease identification, non-chemical cell …

C Elegans As A Tractable Infection Model For The Emerging Fungal Pathogen Candida Auris, Melissa Martinez, Melissa R Cruz, Danielle A Garsin, Michael C Lorenz

Faculty, Staff and Student Publications

Candida auris is an emerging multidrug-resistant fungal pathogen. The genetic factors contributing to the virulence, drug resistance, and stress-tolerant nature of C. auris are mostly unknown. Additional animal models of virulence are needed, especially those amenable to high-throughput analysis. The nematode Caenorhabditis elegans has been validated as an effective tool for studying multiple fungal and bacterial pathogens. We describe here a C. elegans infection model in which exposure to C. auris is lethal to worms with kinetics similar to killing by Candida albicans; in contrast to C. albicans, C. auris does not form hyphae, indicating distinct virulence mechanisms. …

Bridging Hypoxia And Vision Loss: The Emerging Role Of Connexins In Local And Systemic Eye Diseases, Xianping Zhang, Yalong Cheng, Jean X Jiang, Yuting Li

Faculty, Staff and Student Publications

Hypoxic eye diseases represent a pivotal yet often underappreciated contributor to the onset and progression of many retinal disorders. When hypoxia persists or exceeds the tissue's compensatory capacity, it triggers pathological retinal neovascularization, blood-retinal barrier disruption, and neuronal apoptosis, ultimately resulting in irreversible visual impairment. Connexins (Cxs) form gap junction channels and hemichannels and regulate retinal cell proliferation, differentiation, and survival, thereby playing a central regulatory role in the pathogenesis of hypoxic ocular diseases. In addition to gap junctions, Cx hemichannels promote transmission of molecules between intra- and extracellular environments, further influencing retinal homeostasis under hypoxic stress. This review synthesizes …

From Uncertainty To Lucidity: Awareness Neutrosophic Kähler-Einstein Innovative Evaluator Methodological In Era Of Green Artificial Intelligence, Mona Mohamed, Ahmed M. Ali

Neutrosophic Systems with Applications

The rapid development of generative artificial intelligence (Gen AI) is a double-edged sword. On the positive side, Large Language Models (LLMs) of Gen AI as chatbot considered intelligent friend. Due to its potential to stimulate the maturation of ideas and cultivate fundamental general abilities like problem-solving and critical thinking. The advancement of Gen AI continued after that, moving from “chatbots” to “AI agents” that carry out multi-step activities in addition to responding to queries.

Regarding the downside, the terminology of “Red AI” era brought about by generative AI is marked by a performance at any expense that puts pressure on …

Single-Valued Neutrosophic Pessimistic Multi-Granulation Rough Set Model Based On (A,B,C)-Cut Relations And Its Applications, Xu-Xi Wu, Hu Zhao, Qiao-Ling Song, Xiong-Wei Zhang

Neutrosophic Systems with Applications

To address uncertainty in multi-source data, this paper proposes a single-valued neutrosophic pessimistic multi-granulation rough set (P-SVN-MGRS) model based on (a,b,c)-cut relations. In this framework, each neutrosophic relation is characterized by three membership-degree functions: T(x,y), I(x,y), and F(x,y). These functions correspond to truth-membership, indeterminacy, and falsity, respectively. The (α,β,γ)-cut relation employs parameters α,β,γ∈(0,1] as thresholds for the three functions. A pair (x,y) belongs to …

Energetics Analysis Of Solitary Waves Using A Multi-Layer Model, Hunter Boswell, Frank D. Han, Guirong Yan, Wouter Mostert

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study investigates the performance of a vertically-Lagrangian multi-layer model on numerically simulating shoaling and breaking two-dimensional solitary waves during both the breaking and post-breaking processes. The energy dissipation of the breaking event for the multi-layer waves is analyzed and compared to prior direct numerical simulation work with the same bathymetric and wave cases. It shows very similar data collapse to shallow-water inertial theory. For post-breaking behavior, bore characteristics are compared to an experimental study of bores formed from breaking solitary waves and similar results are found. While the multi-layer method was not found to behave sufficiently well for direct …

Desert Plant Endophyte Genome Database: A Curated Repository Of Endophytic Bacterial Genomes Across Arid Ecosystems, Sabiha Parween, Arun Prasanna Nagarajan, Amal K. Alghamdi, Abdul Aziz Eida, Feras F. Lafi, Luma Albanna, Nida Salem, Barakat Abu-Irmaileh, Zaid A. Pirzada, Shahid Siddique, Ruben Garrido-Oter, Paul Schulze-Lefert, Maged M. Saad, Heribert Hirt

All Works

Microbial communities associated with desert plants play a pivotal role in enhancing host survival under extreme environmental stressors, including drought, salinity, and nutrient limitation. The Desert Plant Endophyte Microbial Collection is one of the largest curated repositories of 2500 cultivable endophytic bacteria isolated from 23 native desert plant species across Saudi Arabia, Jordan, and Pakistan. Representing a broad spectrum of arid microhabitats from inland deserts and mountain wadis to coastal mangroves and date palm oases, the collection supports integrative studies on microbial ecology and plant-microbe interactions in water-limited ecosystems. A central component of this initiative is the Desert Plant Endophyte …

Three-Dimensional Numerical Investigation Of Darrieus-Type Vertical-Axis Wind Turbine With Active Suction Cavity, Ahmed Elbaz, Nabil Mahmoud Dr, Mohamwd Akmal Ammar Dr

Mechanical Engineering

The current work aims at improving the power conversion efficiency of a widely used type of wind turbine, the vertical-axis wind turbine (VAWT). This is achieved by actively controlling the boundary layer characteristics on turbine blades through wall suction. The effect of this active control technique on the performance of a NACA0018 Darrieus vertical-axis wind turbine is investigated by means of three-dimensional numerical simulations using ANSYS-FLUENT software. Pressure-based incompressible Unsteady Reynolds-Averaged NavierStokes (URANS) equations, complemented with the Shear Stress Transport (SST) k-ω model for turbulence closure, were solved. A detailed computational methodology is adopted, including domain extent, mesh refinement, and …

Analytic Continuation Of Time In Brownian Motion. Stochastic Distributions Approach, Luis Daniel Abreu, Daniel Alpay, Tryphon T. Georgiou, Palle Jorgensen

Mathematics, Physics, and Computer Science Faculty Articles and Research

With the use of Hida's white noise space theory and spaces of stochastic distributions, we present a detailed analytic continuation theory for classes of Gaussian processes, with focus here on Brownian motion. For the latter, we prove and make use of bounds in the complex plane for the Hermite functions; as well as a new approach to stochastic distributions. This in turn allows us to present (in Section 6) an explicit formula for an analytically continued white noise process, realized this way in the complex domain. With the use of the Wick product, we then apply our complex white noise …

Running Is Flying, Madeleine Burns

CLAMANTIS: The MALS Journal

No abstract provided.

Celestial Nation, Caden Ide

CLAMANTIS: The MALS Journal

No abstract provided.

The Passing Of Jean Baudrillard, Robert J. Antonio

Fast Capitalism

No abstract provided.

Evil Bert Laden: Viral Texts, Community, And Collision, James J. Brown Jr.

Fast Capitalism

No abstract provided.

The War Between N+1 And The Elegant Variation, Or When Production Overlooks Consumption In The Literary Political Economy, Elisabeth Chaves

Fast Capitalism

No abstract provided.

Torture And Absolution: The Shadow Twin Towers Of Atro/City, Cynthia Haynes

Fast Capitalism

No abstract provided.