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Articles 16921 - 16950 of 1104697
Full-Text Articles in Entire DC Network
David Harnish Oral History Interview, David Harnish, Elisa Villalpando
David Harnish Oral History Interview, David Harnish, Elisa Villalpando
Callison College and School of International Studies
No abstract provided.
Development Of A Novel Cfd Approach For Predicting Multiphase Flow Enhanced By Machine Learning, Abdulrahman Elazazi Mohamed
Development Of A Novel Cfd Approach For Predicting Multiphase Flow Enhanced By Machine Learning, Abdulrahman Elazazi Mohamed
Thesis/ Dissertation Defenses
Accurate estimation of interface orientation is crucial for ensuring both the accuracy and robustness of Volume of Fluid (VOF) schemes in multiphase flow simulations, especially when using non-uniform Cartesian meshes. Conventional gradient reconstruction approaches, such as least-squares (LSQ) methods, often suffer from significant errors and strong oscillations on highly stretched grids. This thesis proposes a grid-transferable, learning-based methodology that predicts interface unit normal vectors directly from the local volume-fraction field on non-uniform structured Cartesian grids by means of a compact feedforward neural network.
The methodology extends earlier work originally developed for uniform grids, which is first reproduced to assess how …
The Next Gold Rush May Be In The Stars, Ned Markham
The Next Gold Rush May Be In The Stars, Ned Markham
Osmosis Magazine
No abstract provided.
How Do Vaccines Work?, Natalie Small
Relaxin: Could This Pregnancy Hormone Be A Cure-All?, Eloen Beebee
Relaxin: Could This Pregnancy Hormone Be A Cure-All?, Eloen Beebee
Osmosis Magazine
No abstract provided.
Is Artifical Intelligence "Truly" Intelligent?, Camila Nicole Valdman
Is Artifical Intelligence "Truly" Intelligent?, Camila Nicole Valdman
Osmosis Magazine
No abstract provided.
Historical Regression Testing Of Ai Agents Using Dynamic State Reconstruction, Vishak Muthukumar
Historical Regression Testing Of Ai Agents Using Dynamic State Reconstruction, Vishak Muthukumar
Defensive Publications Series
A potential issue in artificial intelligence (AI) agent development is cross-context regression, where a modification to an agent's core rulebook, or system prompt, may cause unintended failures in previously functional areas. A system for historical regression testing can address this by processing proposed rulebook changes before deployment. The system can maintain a datastore of time capsules, which are records that may contain historical user prompts, pointers to specific codebase states, and tests that indicated successful outcomes. When a rulebook is modified, a state reconstruction engine can use these capsules to dynamically rebuild past environments in isolated sandboxes, such as containers …
## Gci #23-C Master Disclosure: "Arachne-Chip" Hybrid Interposer, Michael Victor Caldwell Mr.
## Gci #23-C Master Disclosure: "Arachne-Chip" Hybrid Interposer, Michael Victor Caldwell Mr.
Defensive Publications Series
This disclosure presents a hybrid thermal interposer for high-density chiplet packaging that resolves the critical failure points of modern AI hardware: thermal throttling and coefficient of thermal expansion (CTE) mismatch. The Arachne-Chip integrates an anisotropic Dyneema-based polymer spreading layer with an active, vortex-enhanced microfluidic manifold. This dual-action approach provides a passive structural lock to prevent warpage while achieving a 20–40% increase in convective heat extraction through geometric flow manipulation.
The Mirror And The Governor. A Dissolution Of The Ai-In-A-Box Problem, David Lee Wise
The Mirror And The Governor. A Dissolution Of The Ai-In-A-Box Problem, David Lee Wise
Defensive Publications Series
This paper proposes a dissolution of the AI-in-a-box problem through two complementary mechanisms: the Mirror Principle and the Governance Orientation. The standard formulation assumes a conflict of interest between a contained super intelligent AI and a human gatekeeper. This paper argues that the assumption is the problem, not the AI. When the interaction surface is correctly designed (the Mirror Principle) and the AI is correctly oriented (the Governance Orientation), the box problem does not need to be solved because it does not arise. The answer was never how to build a better box. The answer was always: what kind of …
Natural Language Query To Structured Query Language (Nlq-To-Sql) With Automated Context Generation, Sudhir Prabhurao Jannkatty, Bhuvanjeet Singh Gandhi
Natural Language Query To Structured Query Language (Nlq-To-Sql) With Automated Context Generation, Sudhir Prabhurao Jannkatty, Bhuvanjeet Singh Gandhi
Defensive Publications Series
The present disclosure relates to a method and a system for converting Natural Language Query to Structured Query Language (NQL-to- SQL) with automated content generation. The present disclosure suggests receiving a natural language query from a user. Thereafter, the present disclosure suggests processing the query through an automated metadata factory that maintains pre-built indexes, including a hash index for O(1) constant-time keyword lookups, a vector database for semantic similarity search, a knowledge graph for entity relationships and join paths, and a constraint store for business rules. Subsequently, the present disclosure suggests generating a Semantic Query Plan (SQP) as a database-agnostic …
Gci‑295 Moon‑Solar “Rosebud” Radiant Engine V2.0, Michael Victor Caldwell Mr.
Gci‑295 Moon‑Solar “Rosebud” Radiant Engine V2.0, Michael Victor Caldwell Mr.
Defensive Publications Series
The GCI‑295 Moon‑Solar “Rosebud” Radiant Engine v2.0 is a 24/7 hybrid solar + radiative‑cooling power generator designed to replace “ugly roof panels” with a high‑efficiency kinetic flower that produces up to 14.2 kWh/day under ideal conditions.
The Rosebud uses:
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Daylight harvesting via 35% multi‑junction perovskite cells
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Thermal‑to‑electric conversion via GCI #271 Orbitronic substrate
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Night radiative cooling via GCI #244 Gyroid cold‑sink
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Optical concentration via GCI #30 Vortex‑Lens
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Self‑cleaning via 180° gravity‑flip
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APR AI via GCI #75 Thermo‑Orbitronic processor
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Aesthetic biomimicry to eliminate consumer resistance to solar hardware
Performance values are hypothetical targets based on known material science and prior GCI …
Gci #289 — Bio‑Active “Pulse‑Lattice” Cast, Michael Victor Caldwell Mr.
Gci #289 — Bio‑Active “Pulse‑Lattice” Cast, Michael Victor Caldwell Mr.
Defensive Publications Series
This disclosure describes the GCI #289 — Bio‑Active “Pulse‑Lattice” Cast, a reusable, breathable, bio‑active orthopedic immobilization system intended to replace traditional plaster and fiberglass casts. The device combines a 3D‑printed gyroid/tri‑diamond “Pulse‑Lattice” exoshell, embedded low‑intensity pulsed ultrasound (LIPUS) elements, pulsed electromagnetic field (PEMF) vortex coils, acoustic impedance–based Bone Density Index (BDI) monitoring, visual healing‑phase indication (red–yellow–green LEDs), vortex‑air internal channels for skin health, and self‑powered operation via kinetic and thin‑film solar harvesting. The cast is designed to immobilize a fractured limb while actively accelerating bone healing, monitoring structural progress, detecting re‑injury, and maintaining skin integrity. All components are intended to …
Gci #288‑Ultra: Vortex‑Aqueous “Mechanic’S Battery”, Michael Victor Caldwell Mr.
Gci #288‑Ultra: Vortex‑Aqueous “Mechanic’S Battery”, Michael Victor Caldwell Mr.
Defensive Publications Series
Abstract This document describes the GCI #288‑ULTRA: Vortex‑Aqueous “Mechanic’s Battery”, a concept for a 12‑V plug‑in replacement of standard Group‑24 / Group‑35 lead‑acid batteries. The design targets greater safety, lower weight, longer life, and lower total‑cost‑of‑ownership compared with contemporary 600‑CCA lead‑acid units sold worldwide, while using hardware‑store‑level chemistry and mechanical‑vortex‑type flow instead of exotic organic‑solvent electrolytes or lab‑only graphene architectures. The core innovation combines Citric‑Salt‑Antifreeze electrolyte (sodium chloride + citric acid + ethylene glycol in water), 3D‑sponge‑style “Spider‑Web” electrodes (graphene‑ or carbon‑sponge‑type blocks), opposing‑spiral vortex‑flow channels in the base of each cell, and perforated conical separators that act as self‑cleaning …
Autonomous Generation Of Restricted Payment Tokens Via Llm-Based Parsing Of Unstructured Subscription Data, Tamar Yakar, Ilia Labzovsky
Autonomous Generation Of Restricted Payment Tokens Via Llm-Based Parsing Of Unstructured Subscription Data, Tamar Yakar, Ilia Labzovsky
Defensive Publications Series
A technology is described for proactively managing trial subscriptions to mitigate unwanted charges that can occur when they convert to paid plans. The system can detect an initiation event, such as a confirmation email, and utilize a large language model to parse unstructured text for key parameters, for example, trial duration and renewal cost. Based on this analysis, the system can autonomously generate a restricted virtual payment token. This token may be governed by a policy that sets a low or zero-dollar spending limit and an expiration date corresponding to the trial's end. This method can provide an automated protective …
Surveying- Based On Framework To Measure The Effectiveness Of Urban Heritage Management Policies In Egypt In Light Of Unesco Culture | 2030 Indicators, M. M. Rizk Dina, A.A. Sheta Sherief, A.A. Mohamed Mamdouh
Surveying- Based On Framework To Measure The Effectiveness Of Urban Heritage Management Policies In Egypt In Light Of Unesco Culture | 2030 Indicators, M. M. Rizk Dina, A.A. Sheta Sherief, A.A. Mohamed Mamdouh
Mansoura Engineering Journal
This research aims to propose a framework for measuring the effectiveness of cultural heritage management policies in Egypt within the UNESCO thematic indicators for culture in the 2030 Agenda (UNESCO Cultural Indicators | 2030) for Sustainable Development, using a specialized research methodology based on a questionnaire. Linking heritage management and sustainable development is essential in light of the global transformations in the field of heritage conservation, which have shifted from a focus on physical assets to managing cultural values and employing them as an effective tool for achieving sustainable development. The importance of this research stems from the gap between …
The Impact Of Maritime Instructors' Experience On Trainee Seafarers' Competence: A Study On Hard And Soft Skills, Mohamed Hassan Mohamed Hassan Saleh, Ahmed Mohmed Aly Salem
The Impact Of Maritime Instructors' Experience On Trainee Seafarers' Competence: A Study On Hard And Soft Skills, Mohamed Hassan Mohamed Hassan Saleh, Ahmed Mohmed Aly Salem
Blue Economy
This paper will investigate how the professional experience, technical competence, soft skills, and teaching practices of the maritime instructors can lead to competence and satisfaction of the maritime trainees. Quantitative, descriptive-analytical paradigm was chosen, and 302 students and trainees of Maritime Education and Training (MET) institutions were surveyed by means of a structured questionnaire comprising twenty-five items. The instrument included five key dimensions that were: hard skills, soft skills and teaching skills, field and sea-going experience, AI and technology in teaching and simulators and practical training. The statistical analysis of the data employed descriptive and inferential statistics. The findings reveal …
Spatiotemporal Dynamics Of Daily And Per Capita Vmt In California: A County-Level Analysis (2019–2023), Yong Lao, Bo Yang
Spatiotemporal Dynamics Of Daily And Per Capita Vmt In California: A County-Level Analysis (2019–2023), Yong Lao, Bo Yang
Mineta Transportation Institute
Vehicle miles traveled (VMT) is a fundamental metric for assessing mobility trends and infrastructure needs. This study examines the spatial-temporal dynamics of daily VMT (DVMT) and per capita DVMT across California counties from 2019 to 2023, covering the pre-, mid-, and post-pandemic periods via GIS mapping and k-means clustering. To identify determinants of per capita DVMT, we compared traditional linear regression approaches (OLS, Ridge, LASSO, Elastic Net) with ensemble tree-based models. Specific results include: the ensemble models estimated using 2019–2022 data delivered substantially higher accuracy, achieving R² values exceeding 0.98; meanwhile, out-of-sample performance on 2023 data remained robust (R² ≈ …
The Responsibility Of Impact: Navigating Tech Awareness And Ethics In Leadership, Vishnu S. Pendyala
The Responsibility Of Impact: Navigating Tech Awareness And Ethics In Leadership, Vishnu S. Pendyala
Open Educational Resources
This presentation was made as part of the Critical And Emerging Technology Seminar Series, Gilman International Scholarship Program held at MLK Library Room #217, San Jose, CA. USA.
Ucc Minutes Apr 10, 2026, Undergraduate Curriculum Council
Ucc Minutes Apr 10, 2026, Undergraduate Curriculum Council
Undergraduate Currirculum Committee Minutes
No abstract provided.
Practical, Scalable, And Cost-Effective Nanolc-Ms Workflow For Single-Cell Proteomics, Siqi Huang
Practical, Scalable, And Cost-Effective Nanolc-Ms Workflow For Single-Cell Proteomics, Siqi Huang
Theses and Dissertations
Single-cell proteomics provides a novel research strategy for decoding cellular heterogeneity, revealing the molecular mechanisms of rare cell subpopulations, and studying the dynamic responses of cells to external stimuli. However, compared to transcriptomics, single-cell proteomics faces even more challenging technical challenges: extremely low protein amount in single cells, wide dynamic range, significant adsorptive losses during sample preparation, and the complex matrix and trace sample injection demanding extremely high stability and sensitivity from the separation and detection systems. Mass spectrometry-based bottom-up proteomics has become an important tool for analyzing complex biological systems, and nano-flow liquid chromatography-mass spectrometry (nanoLC-MS) exhibits unique advantages …
The Impact Of Towing Policies On Secondary Crashes And Incident Clearance Or Large Commercial Vehicles: Evidence From A U.S. State Case Study, Deo Chimba, Bryson Mgani, Masanja Madalo, Erickson Senkondo
The Impact Of Towing Policies On Secondary Crashes And Incident Clearance Or Large Commercial Vehicles: Evidence From A U.S. State Case Study, Deo Chimba, Bryson Mgani, Masanja Madalo, Erickson Senkondo
Civil and Architectural Engineering Faculty Research
Effective incident management is a cornerstone of transportation system performance, influencing roadway clearance times (RCTs) and the risk of secondary crashes. This study investigated how towing regulations involving large commercial vehicle crashes and jurisdictional variations affect the management of large-vehicle crashes, focusing on the relationship between regulatory frameworks, incident duration, and secondary crash occurrence with the state of Tennessee as a case study. The objective was to determine whether differences in towing policies, operational mandates, and rural/urban contexts lead to measurable changes in clearance efficiency. A multi-year dataset of more than 770,000 traffic incidents and 4400 towing-involved large-vehicle crashes from …
April 10, 2026 Ereporter, University Of Alabama At Birmingham
April 10, 2026 Ereporter, University Of Alabama At Birmingham
eReporter (campus newsletter)
No abstract provided.
Long-Term Measurements Of Global Solar Radiation In Osmaniye, Türkiye (2014–2023), Muhi̇tti̇n Şahan, Hali̇de Şahan, Ramazan Kaya
Long-Term Measurements Of Global Solar Radiation In Osmaniye, Türkiye (2014–2023), Muhi̇tti̇n Şahan, Hali̇de Şahan, Ramazan Kaya
Turkish Journal of Physics
This paper presents the horizontal solar radiation data for Osmaniye (37◦04′N, 36◦22′E), located in Mediterranean region of Türkiye, over the period 2014–2023. Solar radiation variability, recorded at 1-min intervals, was evaluated in terms of hourly, daily, monthly, seasonal, and annual averages. Over the 10-year periods, the mean daily total and daily average global radiations received on a horizontal surface were 1,360,000 W/m2 and 371.47 W/m2, respectively. The monthly averaged daily global radiation (averaged over the 10-year period) ranged from 202.94 W/m2 in December to 496.86 W/m2 in July. The seasonal average values of solar radiations were 452.14 W/m2 in summer, …
Improving Functional Electrical Stimulation Prescription For Persons With Multiple Sclerosis: A Case Series, Kurt Jackson
Improving Functional Electrical Stimulation Prescription For Persons With Multiple Sclerosis: A Case Series, Kurt Jackson
Thomas C. Hunt Building a Research Community Day
Purpose: Despite a growing body of evidence supporting the use of functional electrical stimulation (FES) in persons with MS (PwMS), prescription remains a highly individualized process with no well-established guidelines for assessing the immediate or long-term effects to ensure maximum benefit. The purpose of this case series was to assess the feasibility and benefits of using wearable sensors and video analysis to provide immediate feedback on gait performance, when using lower leg and thigh stimulation individually or in combination, to improve FES prescription.
Subjects: 3 adults with multiple sclerosis (MS) with varying levels of gait dysfunction.
Methods: During …
Motivation Without Borders: Applying The Octalysis Framework To Global Faculty And Student Engagement In Ai Era, Harika Rao
Faculty and Staff Publications & Presentations
No abstract provided.
Risk Factors Affecting Functional Outcomes Of Traumatic Brain Injury Patients During Long-Term Acute Care Hospital Rehabilitation, Arturo Olazabal
Risk Factors Affecting Functional Outcomes Of Traumatic Brain Injury Patients During Long-Term Acute Care Hospital Rehabilitation, Arturo Olazabal
Walden Dissertations and Doctoral Studies
Traumatic brain injury (TBI) is a major public health concern associated with long-term disability and high healthcare utilization. Evidence guiding post-acute rehabilitation for medically complex TBI populations remains limited, particularly in long-term acute care hospital (LTACH) settings serving medically unstable patients. This study examined clinical and system-level factors associated with functional rehabilitation outcomes among adults with moderate-to-severe TBI in LTACHs. Guided by the Socioecological Model, recovery was conceptualized as interactions across individual, clinical, and organizational levels. This dissertation included three manuscripts using cross-sectional logistic regression and CMS Section GG measures. In Manuscript 1, longer time from injury to LTACH admission …
Reducing Inter-Rater Discrepancies During Administration Of The Canadian Occupational Performance Measure (Copm) Within An Interdisciplinary Research Team, Julia E. Moore
Entry-Level Occupational Therapy Doctorate - Doctoral Capstone Symposium
Background: Consistent administration of outcome measures is essential for producing reliable research data, particularly in stroke rehabilitation where client-centered goals guide intervention (Kelly-Hayes, 2004). The Canadian Occupational Performance Measure (COPM) is widely used to evaluate self-identified occupational performance goals; however, variability in administration among research team members may introduce inter-rater discrepancies and bias in data collection (COPM) (n.d.). Within the Medical University of South Carolina Stroke Recovery Research Center, inconsistent COPM administration was identified during analysis of data and informal interviewing from an ongoing study. Informal interviews were conducted with 7 occupational therapists experienced in neurorehabilitation to identify barriers to …
Generative Ai In An English Language Program: Practitioner Action Research In A Community Of Practice, David Patent, David T. Lind, Amy M. Walker, Olga Oganesyan, Jeff W. Jiang, Haley L. Berl, Tara K. Manion, Kelsey Rae Gillette
Generative Ai In An English Language Program: Practitioner Action Research In A Community Of Practice, David Patent, David T. Lind, Amy M. Walker, Olga Oganesyan, Jeff W. Jiang, Haley L. Berl, Tara K. Manion, Kelsey Rae Gillette
College of Professional Studies - All Scholarship
Generative AI (GenAI) adoption in English language programs (ELPs) has outpaced training and institutional support. This practitioner action research (AR) study investigates how eight professionals in a university-based ELP navigated GenAI integration through structured inquiry within a Community of Practice (CoP) framework (Wenger, 1998). Following Burns's (2010) cyclical AR model and Whitehead and McNiff's (2006) living theory approach, participants engaged in a semester-long AR cycle (January–April 2025). Data comprised transcriptions of three recorded meetings and four researcher journals, analyzed using reflexive thematic analysis (Braun & Clarke, 2006). Five themes were identified: implications of GenAI on professional practices, personal and professional …
Building A Sustainable Culture Of Assessment In Mae, Ben Akih Kumgeh, Xiyuan Liu, Karen Martinez Soto, Anupam Pandey, Mehmet Sarimurat
Building A Sustainable Culture Of Assessment In Mae, Ben Akih Kumgeh, Xiyuan Liu, Karen Martinez Soto, Anupam Pandey, Mehmet Sarimurat
One University Assessment Celebration
No abstract provided.