Digital Commons Network^™

A System Dynamics Perspective Of User Adaptation: The Case Of Exoskeleton Technology, Enzo Novi Migliano

USF Tampa Graduate Theses and Dissertations

Technology implementation is a common occurrence in organizations to which workers must adapt. Although research on workers' technology acceptance is widely spread, research on the workers' technology adaptation process is less represented in the literature. The discrepancy in the literature permeates research on new technologies currently being implemented in organizations, such as occupational exoskeletons. As in other technologies, the variance research perspective dominates the literature on exoskeleton implementations. The current thesis aims to foster process research by formalizing the coping model of user adaptation (Beaudry & Pinsonneault, 2005) and exploring research questions regarding workers' adaptation to general technology and exoskeletons. …

In Search Of Protective Factors Against Gun-Carrying For Black Male Youth: A Dissertation- Sectional And Longitudinal Analysis Of Secondary Data, Kevin Edward Antwi

USF Tampa Graduate Theses and Dissertations

This study examines the relationship between risk and protective factors and gun carrying among Black male youth using both individual-level and population-averaged effects. Grounded in the risk and protective factors framework and the ecological systems model, the study explores how protective factors at the individual, peer, school, and community levels influence gun carrying at a single point in time and over time. This research aligns with the Grand Challenges of Social Work by preventing gun violence and informing prevention efforts. Using the baseline and 11 waves of data from the Pathways to Desistance Study, the analysis identifies factors that reduce …

Bridging Cultural Gaps In Enhancing Mental Health Support For The Bhutanese Community, Subash Chandra Majhi

Walden Dissertations and Doctoral Studies

No abstract provided.

Boundaries Of Belonging: The Role Of Christian Campus Climate In Lgbtq+ Student Suicidality, Madison L. Vaccaro

Clinical Psychology Dissertations

LGBTQ+ students at religiously-affiliated colleges experience unique stressors related to discrimination, campus climate, and stigma, which have been linked to negative outcomes including suicidal ideation. Drawing on sociocultural theories of suicide and minority stress, the present study examined whether internalized LGBTQ+ related stigma mediated the relationships between discrimination, negative campus climate, and suicidal ideation among college students attending religious institutions. Participants (N = 75) included college students who identified as LGBTQ+, recruited mainly within the Pacific Northwest. Participants were majority White, assigned female at birth (AFAB), and diverse in gender identity and sexual orientation. Measures assessed experiences of discrimination, campus …

Analysis And Machine Learning Adaptation Of A Cognitive Model For Human Memory, Trevor Cross, Aihua W. Wood

Faculty Publications

In this paper, we use the Duolingo SLAM dataset to analyze several cognitive models of second language acquisition and develop new approaches for enhanced performance. In particular, we consider the Predictive Performance Equation and some of its underlying power laws. Leveraging insights from machine learning, we develop simple one-feature models as building blocks for combined models that match or in certain cases outperform the existing models at much reduced computational cost. In addition, a neural network with one fully connected hidden layer is constructed that outperforms all other models on sufficiently large datasets.

Boiling Flow Estimation For Aero-Optic Phase Screen Generation, Jeffrey W. Utley, Gregery T. Buzzard, Charles A. Bouman, Matthew R. Kemnetz

Faculty Publications

Aero-optic effects due to turbulence can reduce the effectiveness of transmitting light waves to a distant target. Methods to compensate for turbulence typically rely on realistic turbulence data, which can be generated by i) experiment, ii) high-fidelity computational fluid dynamics (CFD), iii) low-fidelity CFD, and iv) autoregressive methods. However, each of these methods has significant drawbacks, including monetary and/or computational expense, limited quantity, inaccurate statistics, and overall complexity. By contrast, the boiling flow algorithm is a simple, computationally efficient model that can generate atmospheric phase screen data with only a handful of parameters. However, boiling flow has not been widely …

Systems And Methods For Location-Verified Augmented Reality Tourism With Multi-Signal Presence Proof And Automated Creator Monetization, Olufemi Abioye

Defensive Publications Series

A web-delivered augmented-reality platform for location-based tourism is disclosed in which interactive story content is bound to real-world geographic locations and delivered through a standard web browser using WebXR, without installation of a native application. Physical presence at a location is established by a multi-signal verification engine that fuses geofence dwell detection, motion-trace analysis for spoofing detection, and cryptographic device attestation into a composite presence-confidence score; when the score exceeds a threshold, the system issues a signed completion token bound to a geofence hash and a time window to resist replay. Raw camera frames are retained on the user device, …

Technical Disclosure: System Architecture For Non-Equilibrium Material Synthesis: An Applied Framework For Soliton Restructuring And Boundary Layer Phase Modulation, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a deterministic field theory and system architecture for altering localized material states without traditional macroscopic thermal melting or brute-force nuclear kinetic bombardment. By leveraging the bulk-to-boundary duality established in Document #11829, this method manipulates matter at the fundamental 2D Conformal Substrate layer.

By applying localized electromagnetic and acoustic phase modulations, this architecture systematically alters the coordinate z-axis mapping of existing soliton excitations (particles). This forces localized matter to safely and precisely restructure its atomic configuration via non-equilibrium thermal phase space dynamics.

Key Technical Nomenclature

• Substruction: The technical process of isolating, reading, and interacting with the underlying 2D …

The Totality Sphere Framework: Conformal Field Disruption, Mirror-Symmetric Spacetime Emergence, And Entanglement-Driven Topological Recoil, Christopher L. Eckes

Defensive Publications Series

This framework introduces a non-local, unified cosmological model wherein three-dimensional spatial volume and general relativity emerge as a macroscopic phase projection from a fundamental two-dimensional informational boundary substrate. Rather than treating quantum entanglement and gravitational curvature as separate phenomena, this topology defines gravity as the macro-scale expression of a topological entanglement entropy gradient trying to restore conformal symmetry across a mirror-symmetric hyper-spherical bulk.

We model the cosmic lifecycle as a closed thermodynamic loop driven by bulk-to-boundary kinetic injections, localized soliton phase transitions, and eventual non-local geometric contraction.

Key Theoretical Nomenclature

• Boundary Substrate (\(\partial M\)): The foundational 2D Planck-level manifold hosting …

Technical Disclosure: Systemic Implementation Specifications For Inter-Module Telemetry, Bio-Acoustic Substrates, Optocoupled Air-Gaps, And Electro-Magnetic Containment Form Factors, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes the explicit physical, material, electrical, and data-schema specifications required to realize and secure the open-source infrastructure detailed in Document #11827. To prevent downstream utility patent enclosure by proprietary corporate manufacturers, this document defines concrete public-domain implementation parameters for:

1. Schema-Agnostic Inter-Module Telemetry: Raw markdown metadata header serialization protocols.
2. Bio-Acoustic Standing Wave Substrates: Specific density, piezoelectric conversion metrics, and mechanical vessel interface constraints for non-chemical morphogenetic scaffolding.
3. Optocoupled Physical Air-Gap Circuits: Transient buffer relay topologies and fail-closed hardware architectures for local cryptographic computing integrity.
4. Electro-Magnetic Faraday Shielding: Multi-layer nickel-iron containment bulkhead ratios and drainage grounding paths calculated against high-energy …

Technical Disclosure: A Unified Planetary Scale Architecture For Non-Equilibrium Thermodynamics, Cryptographic Governance, And Automated Labor Sovereignty, Christopher L. Eckes

Defensive Publications Series

This disclosure details a unified macro-system architecture designed to facilitate, manage, and scale the physical, administrative, and labor operations of a planetary-scale infrastructure array. Current technological ecosystems are fundamentally bottlenecked by active thermal throttling, localized supply-chain speculation, and closed digital rights management (DRM) frameworks that fragment development.

This multi-domain framework resolves these limitations through a three-layer topology:

1. The Physical Layer: Passive geometric routing of multi-variant heat-flux fields, non-chemical acoustic standing-wave cellular matrices, and turbine-free direct-loop magnetohydrodynamic (MHD) induction.
2. The Coordination Layer: Zero-knowledge edge-confined cognitive scaffolding, non-fiat logistical hypergraphs (M-EHN), and transparent game-theoretic defensive de-escalation matrices.
3. The Execution Layer: Open-standard computer-aided …

The Overdrive Anomaly: A Philosophical And Technical Appeal For Aligned Cognitive Scaffolding In Tomorrow's Stewards, Christopher L. Eckes

Defensive Publications Series

This appeal exposes a critical structural risk in the trajectory of modern global technology: the destabilizing asymmetry between exponential physical infrastructure and linear human cognitive development. By optimizing resources exclusively for external execution milestones—such as aerospace transit, automated manufacturing, and centralized compute networks—modern innovation paradigms treat human agency as a passive, downstream variable.

This paper demonstrates that without the systemic deployment of cryptographically secure, localized cognitive mentorship and sovereign security scaffolding, accelerating technological matrices will induce widespread psychological alienation and cognitive fragmentation. We present a formal, non-negotiable appeal to the global engineering community to reprioritize individual psychological sovereignty as the …

Systemic Integration Of Lifelong Agentic Mentorship, Contextual Scaffolding, And Sovereign Guardian Protocols In K-12 Pedagogy, Christopher L. Eckes

Defensive Publications Series

This specification details the architecture for a non-centralized, lifelong educational operating system that integrates machine learning as an individualized cognitive accelerator, psychometric auditor, and sovereign security layer. This protocol systematically replaces age-segregated, standardized instructional rotations with an immutable Dual-Focus Baseline Matrix paired with a localized Lifelong Cognitive Mentor.

By tracking an individual's development continuously from the primary entry point (K-1) through adulthood, the system implements Probabilistic Scaffolding—balancing automated aptitude mapping with deliberately engineered "negative learning" spaces. Furthermore, it incorporates an active Guardian Sensor Layerutilizing real-time linguistic and behavioral anomaly detection to insulate the child from predatory coercion and manipulative algorithm …

Assortment Analysis Of Ophthalmic Medicines In The Republic Of Uzbekistan, Zoya Usmonova, Shakhnoz Umarova, Nargiza Sultanbaeva, Marina Taryanikova

The Thai Journal of Pharmaceutical Sciences

Background: Ophthalmic diseases are a significant public health concern globally and in Uzbekistan, where approximately 1 million individuals are affected.
Objectives: The objectives are to conduct an assortment analysis of ophthalmic medicines registered in Uzbekistan (2010–2024), to identify trends in drug registration, composition, dosage forms, and manufacturing sources.
Materials and Methods: Based on State Register data, medicines classified under Anatomical Therapeutic Chemical S01 were analyzed using marketing and qualimetric methods, focusing on the International Nonproprietary Names, dosage forms, manufacturers, and countries of origin.
Results: The number of registered medicines peaked at 352 in 2022, and then declined to 279 in …

Contribution Of Animals To Biomedical Advancements In The Current Era: A Narrative Review, Leena Rajathy Port Louis, Mani Rajarathinam, Prithiviraj Nagarajan, Divya Sekar, Nisha Perumal

The Thai Journal of Pharmaceutical Sciences

Animal research has played a major role in the development of vaccinations and therapies for illnesses such as tetanus, polio, meningitis, hepatitis, and Severe Acute Respiratory Syndrome Coronavirus 2. For every prescription drug available today, animal testing and research have contributed immensely. This narrative review aims to explore the contribution of animals to biomedical advancements in the current era, which involved a search of peer-reviewed literature using electronic databases such as Scopus, Web of Science, and PubMed. In current biomedical research, animals help develop new treatments for long-term illnesses such as cancer, HIV, and Alzheimer’s. Animals also aid in the …

Microwave-Assisted Extraction Optimization And Bioactivity Assessment Of Flavonoid-Rich Extract From Lantana Camara L. Leaves In Zebrafish Epilepsy Model, Prem Kumar B R, Shwetha Krishnamurthy, Gouri Nair, Sundara Saravanan Kamatchi

The Thai Journal of Pharmaceutical Sciences

Background: Lantana camara L. (Verbanaceae) is known for its bioactive compounds and has been reported for its potential therapeutic applications. Flavonoids from natural sources are acknowledged for their antioxidant and neuroprotective properties, suggesting a possible role in seizure management.
Objectives: This study intended to optimize the microwaveassisted extraction (MAE) of flavonoid-rich extract from L. camara L. leaves utilizing a designof- experiment approach and evaluate its antiepileptic property using the zebrafish model.
Materials and Methods: Four solvents (ethyl acetate, acetone, ethanol, and water) were initially used, with ethanol yielding the highest total flavonoid content (TFC). A central composite design was employed …

Samannachan: A Thai Traditional Herbal Recipe With Cytotoxic Potential Against Breast, Cervical, And Ovarian Cancers, Perika Monkanna, Srisopa Ruangnoo, Pakakrong Thongdeeying, Arunporn Itharat, Pranporn Kuropakornpong, Reawfang Sriyom, Apinya Wiboonwattanakit, Kanyarat Namphonsan, Paponpachara Pibanpaknitee, Neal M. Davies

The Thai Journal of Pharmaceutical Sciences

Background: Samannachan (SMC) is a Thai traditional herbal recipe that has been used since 2005 at Khampramong Temple, Sakon Nakhon, to treat more than 6,000 cancer patients. However, scientific evidence supporting cytotoxic effects remains limited.
Objectives: The objective of the study is to evaluate the cytotoxicity of the SMC recipe and its ten herbal components against breast, cervical, and ovarian cancer cells compared to normal cells.
Methods: Cytotoxic activity was assessed using the sulforhodamine B (SRB) assay on breast (MCF-7, T47D, MDA-MB-231), cervical (HeLa), and ovarian (SK-OV-3) cancer cell lines, as well as on non-cancerous human keratinocytes (HaCaT). Both aqueous …

Using Phenomenology To Investigate Digital Experience: An Empathic-Somatic Approach, Bismark Wiafe Bimpong, William Kesse Bimpong, Mercy Egyir Kwakye

Mid-Western Educational Researcher

This conceptual paper proposes the Empathic-Somatic Approach as a methodological contribution for conducting phenomenological research on digital technology experiences. The Empathic-Somatic Approach does not replace existing phenomenological methods but enriches them by operationalizing the insight that we understand others through our own bodies as instruments of empathy. The paper first establishes the essential philosophical and methodological foundations of phenomenology needed to situate this contribution, then develops the Empathic-Somatic Approach in detail, and finally provides practical guidance for its implementation in digital technology research. This approach offers researchers in fields such as human-computer interaction, digital health, and information systems a principled …

Some New Oscillatory Behavior Of Higher-Order Elliptic Partial Differential Equations, S. Priyadharshini, V. Sadhasivam, Samrajesh Mault, K. K. Viswanathan

Mansoura Engineering Journal

The main objective of this study is to investigate the new adequate conditions for oscillation of higher-order elliptic partial differential equations by using the Riccati transformation and integral average method. The Riccati transformation converts a nonlinear first order Riccati differential equation into a second order linear ordinary differential equation, enabling solution via standard linear methods followed by inversion. Our plan of action is to reduce the multidimensional problem to an ordinary differential problem by using Jensen's inequality. Elliptic partial differential equations are used in almost every field of mathematics and physics, including Lie theory, geometry, and harmonic analysis. An elliptic …

Adaptative And Structured Optimization Stockwell Transform For Robust Power-Quality Disturbances Detection, Moudjibatou Afoda, Séna Apeke, Filippo Gatti, Alessio Iovine, Léonce W. Tokam, Guy M. Toche Tchio, Ouro-Djobo S. Sanoussi

Mansoura Engineering Journal

The monitoring of electrical power quality requires advanced analysis techniques capable of accurately detecting and localizing non-stationary disturbances. This work proposes a structured and adaptive optimization of the Stockwell Transform (ST), referred to as Two-Power Optimization (TPO). A multiparametric Gaussian window governed by four parameters (m, p, k, r), is introduced, and a genetic algorithm is applied independently to each signal to optimize these parameters. The optimization process adapts the analysis scale to the local characteristics of the signal while preserving the physical consistency of the window function. Simulation results on synthetic power quality signals demonstrate that the proposed method …

Effect Of Rotating Cylinder On Boundary Layer Behavior And Aerodynamic Performance Of Naca 0015 Airfoil, K. Suresh, Inamul Hasan

Mansoura Engineering Journal

Flow separation over airfoils at moderate and high angles of attack leads to a significant degradation in aerodynamic performance. Active boundary layer control using moving surfaces provides an effective approach to delay separation and enhance lift. In this study, the aerodynamic efficiency of a NACA 0015 airfoil equipped with a rotating leading edge cylinder is numerically investigated using computational fluid dynamics. Simulations are carried out for a range of angles of attack and cylinder surface speed ratios at low Reynolds numbers like Re = 1.2 x105. The rotating cylinder injects momentum into the boundary layer, promoting flow attachment on the …

Finite Element Modelling On A Non-Linear Radiative Hybrid Nanofluid Flowing Through A Rotating Disk, N. Janaki Phani Madhuri, Md. Shamshuddin

Mansoura Engineering Journal

This study develops a finite element model to investigate the MHD flow and heat transfer phenomena of Cu–H₂O and Cu–Fe₃O₄–H₂O hybrid nanofluids flow across a spinning disk modelling by the Tiwari–Das model. The governing non-dimensional momentum and energy equations account for the effects of buoyancy, nonlinear radiation, and ohmic heating. The nonlinear coupled system is solved with the element method (FEM) to find the velocity and temperature fields. Parametric studies will investigate the effects of the magnetic field, buoyancy, volume fraction of nanoparticles, and radiation. Skin friction and Nusselt number are also reported. The results show that with the hybrid …

Real-Time Iot-Enabled Dissolved Oxygen Monitoring And Automated Wastewater Recirculation In Constructed Wetlands, Sivasankar Pandiarajan, Vanitha Sankararajan, Devarinti Chandu

Mansoura Engineering Journal

Wastewater treatment is necessary for environmental conservation and combating water pollution. This study demonstrates real-time dissolved oxygen (DO) monitoring in constructed wetland treatment. The system would ensure an adequate supply of oxygen through automated water circulation whenever the level is below 4 mg/L, and shut down when it reaches the normal level. From experiments conducted, it was observed that within three automated circulation processes, it is possible to increase DO concentrations from 0.5 mg/L to 5.0 mg/L. Additionally, Total Dissolved Solids reduced from 1,380 ppm to 920 ppm. pH also stabilized from 8.38 to 7.9. In this system, data is …

Bridging Machine Learning And Climate Futures: A Framework For Explainable, Self-Directed (Agentic) Ai Models In Monitoring, Mitigation, And Governance Of Anthropogenic Climate Impacts, Vijayanandh Rajamanickam, Ketaki Kulkarni, Vishwanadham Mandala, Ozgur Kisi

Mansoura Engineering Journal

Environmental and societal damage due to anthropogenic climate change demands detection and mitigation strategies that are both effective and accountable. Machine Learning (ML) appears to offer a powerful set of tools but remains unexploited in these areas. A key barrier remains its poor ability to draw causal inferences about external systems, an essential requirement for meaningful continued monitoring, acting on, and shaping of the climate. Explainable, self-directed learned models operate by attributing environmental changes and deciding how best to model the resulting dynamics—they offer a natural solution. Recent developments in computational ecology, meteorology, and ML are combined to propose a …

Book Review: Still Stamped: Kendi's History Of Racist Ideas, Charles L. Lowery

Dewey Studies

No abstract provided.

Believing In Deweyan Democracy In Troubled Times, Dwayne Tunstall

Dewey Studies

No abstract provided.

Philosophical Meditations On The Covid-19 Pandemic: What Have We Learned So Far?, Gregory Fernando Pappas

Dewey Studies

No abstract provided.

The Mask As Metaphor: Deweyan Reflections In The Time Of A Pandemic, Todd Lekan

Dewey Studies

No abstract provided.

The Helical Transmutation Manifest: A Field Theory Of 2d Membrane Information Substruction, Coordinate Z-Axis Mapping, And Thermal Phase Space Dynamics, Christopher L. Eckes

Defensive Publications Series

This paper presents a novel, non-perturbative topological field theory that unifies quantum mechanics, thermodynamics, and gravitation by redefining physical matter as emergent geometric structures from a lower-dimensional informational substrate. We postulate that the universe's fundamental baseline is a two-sided, non-orientable 2D informational membrane situated at the boundary z = 0. Using a newly defined Helical Transmutation Operator (\(\^{\mathcal{T}}\)), flat, complex probability densities are projected into a 3D+ runtime environment as continuous physical trajectories exhibiting helical geometries. By factoring in an independent spatial z-axis, we derive a geometric origin for gravitational mass-energy membrane tension and identify antimatter as a mirrored, left-handed …

Knowledge, Attitude, And Practice Regarding Vitamin D Among Adults In Western Libya: Assessment And Socio-Demographic Influences, Abdounasser Albasher Omar, Kawther Adaila, Mofida M. Alfaid, Abdurrahman M Sweidan, Ruqayah Kasheem, Samia Emhemmed Abadi, Abdulnabi Ali Abushita, Hafsa A. Alemam

Al-Bahir

Vitamin D deficiency is a widespread public health concern, necessitating a clear understanding of knowledge, attitudes, and practices (KAP) among populations. Therefore, this study was conducted to assess Libyan citizens' knowledge, attitude, and practice (KAP) regarding vitamin D in the western region of Libya. This study was carried out between June and September of 2021. A questionnaire was distributed across the study area and the complete responses were 314, with 62.7% were females and 37.3% were males.  The scores were calculated as percentages and statistically tested. Additionally, the impact of some socio-demographic factors (age, gender, education level, job, and salary) …