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Articles 9061 - 9090 of 1326677
Full-Text Articles in Entire DC Network
Caldwell Adaptive Plasma Conditioning & Sensing System (Capcs V4.0), Michael Victor Caldwell Mr.
Caldwell Adaptive Plasma Conditioning & Sensing System (Capcs V4.0), Michael Victor Caldwell Mr.
Defensive Publications Series
The Caldwell Adaptive Plasma Conditioning & Sensing System (CAPCS v4.0) is a next‑generation, fully autonomous microfluidic biosensing platform designed for real‑world plasma analysis under variable biological, thermal, and mechanical conditions. CAPCS integrates differential quartz crystal microbalance (QCM) sensing, surface acoustic wave (SAW) focusing, adaptive closed‑loop control, predictive fouling detection, dynamic thermal stabilization, and hybrid inertial–acoustic cell removal into a single disposable cartridge.
Unlike traditional biosensor concepts that rely on static assumptions, CAPCS v4.0 continuously adapts to fouling, drift, clogging, viscosity changes, hematocrit variability, and thermal fluctuations. Every major failure mode is paired with a dedicated countermeasure. The system uses dual‑QCM …
An Agentic Ai System For Meeting-Centric, Time-Bounded Security Policy Enforcement, Niranjan M M
An Agentic Ai System For Meeting-Centric, Time-Bounded Security Policy Enforcement, Niranjan M M
Defensive Publications Series
Enterprises increasingly rely on meetings as the primary unit of collaboration for sensitive decision-making, training, customer engagement, and incident response. However, current firewall and network security systems remain largely static and topology-driven, forcing administrators to manually create, deploy, and later remove temporary security policies for short-lived events. This approach is operationally complex, error-prone, and does not scale in modern hybrid and highly collaborative environments.
The proposal introduces a meeting-centric, agent-driven firewall policy framework that automatically derives security intent from meeting context and participant composition. By treating the meeting identifier as the authoritative security signal, the system dynamically forms a meeting-specific …
Supernova-Ejected Planetary Core Fragments As A Mechanism For Anomalous Interstellar Objects: Application To 3i/Atlas, Daniel Austin Harbison
Supernova-Ejected Planetary Core Fragments As A Mechanism For Anomalous Interstellar Objects: Application To 3i/Atlas, Daniel Austin Harbison
Defensive Publications Series
This paper proposes that the third confirmed interstellar object, 3I/ATLAS, is a dense fragment of a planetary core, ejected from its parent stellar system by a supernova event, rather than a primordial cometary nucleus. The hypothesis is constructed from first-principles physical reasoning and accounts for five anomalies observed in 3I/ATLAS that strain conventional cometary models: high inferred bulk density, nickel-rich coma chemistry, non-gravitational acceleration patterns, advanced age of the material, and the kinematic signature consistent with thick-disk galactic origin. The model further proposes that the same class of supernova event, when interacting with surrounding hydrogen clouds at the 1420 MHz …
The Whisper Web: A Mail Intelligence Framework For Semantic Coordination In Communication Systems, Johny Manuel-Devadoss, Joanna Johnson, Jayden Jack Johnson, Deepthi Prasad
The Whisper Web: A Mail Intelligence Framework For Semantic Coordination In Communication Systems, Johny Manuel-Devadoss, Joanna Johnson, Jayden Jack Johnson, Deepthi Prasad
Defensive Publications Series
This paper introduces The Whisper Web, a communication intelligence framework designed for post-static digital correspondence ecosystems operating under conditions of planetary-scale coordination complexity. Unlike conventional email systems that treat messages as isolated immutable payloads exchanged between endpoints, the Whisper Web reconceptualizes communication as a continuously evolving semantic biosphere composed of dynamic probabilistic entities known as Whisper Units. Each Whisper Unit functions as a compressed socio-semantic organism capable of propagating influence through adaptive trust topologies, negotiation-energy fields, obligation gradients, institutional resonance maps, and multi-agent predictive coordination networks.
The proposed framework abandons the traditional paradigms of inboxes, message queues, folders, labels, and …
Faculty And Student Perspectives On Course Collaborations Within Communication Sciences And Disorders, Shanna R. Callewaert, Sarah M. Ginsberg
Faculty And Student Perspectives On Course Collaborations Within Communication Sciences And Disorders, Shanna R. Callewaert, Sarah M. Ginsberg
Teaching and Learning in Communication Sciences & Disorders
The collaborative course (re)design (CCRD) process provides faculty and students with an opportunity to collaborate in partnership to redesign a course that the faculty teaches and that the student has previously taken. This process amplifies student voices and allows faculty to increase their understanding of students’ learning and experiences. However, barriers of CCRD, such as faculty members’ desires to retain decision-making control, students’ hesitations to share feedback, and logistical concerns, prevent many faculty and students from taking part in the process. This qualitative study sought to gain insight into the perspectives held by students and faculty in the communication sciences …
Improving Speech-Language Pathology Graduate Student Confidence In Evidence-Based Practice, Courtney Olson, Carla Tierney-Hendricks
Improving Speech-Language Pathology Graduate Student Confidence In Evidence-Based Practice, Courtney Olson, Carla Tierney-Hendricks
Teaching and Learning in Communication Sciences & Disorders
Evidence-based practice (EBP) is widely acknowledged to be beneficial and necessary for the treatment of patients. However, a gap between evidence-based practice research and use is present. One way to improve EBP implementation is by focusing on incorporating explicit EBP instruction at the graduate student level. This study describes the development of a series of learning modules based on key EBP principles in order to increase graduate student confidence in EBP. Twenty-four first-semester graduate students were followed over the course of 8-weeks, with one group of twelve students receiving structured supplemental learning and the other group receiving only their traditional …
Proporsionalitas Penjatuhan Pidana, Eva Achjani
3d Puzzle Generation Beyond Voxelized Parts, Iris Xia
3d Puzzle Generation Beyond Voxelized Parts, Iris Xia
Computer Science Theses
Burr puzzles are interlocking assemblies whose pieces must be inserted and removed through tightly constrained motions. Designing them is difficult because geometric fit, interlocking behavior, and disassembly order are tightly coupled, while existing computational methods remain largely limited to voxelized or template-based constructions.
This work presents a framework for 3D puzzle generation beyond voxelized parts. The method replaces local mobility heuristics with a certified search over geometry edits. Starting from a topological contact specification, it constructs signed distance fields for individual parts, applies complementary local edits, and validates each candidate using exact geometric checks and a kernel disassembly graph. The …
Ucf Pegasus Plan - 2nd Grade - Early Native American Cultures, Kendall Childs, Megan Klein, Tiffany Salkin
Ucf Pegasus Plan - 2nd Grade - Early Native American Cultures, Kendall Childs, Megan Klein, Tiffany Salkin
Pegasus Plans: Social Studies Unit Plans for Florida Teachers
No abstract provided.
Crisis Preparedness And Confidence Levels In Faculty & Staff At Rowan University, Paige Bathurst
Crisis Preparedness And Confidence Levels In Faculty & Staff At Rowan University, Paige Bathurst
Theses and Dissertations
This study examined faculty and staff confidence and preparedness in responding to crisis situations at Rowan University. As higher education institutions face an increasing range of emergencies, understanding how employees perceive their readiness is essential for strengthening institutional crisis management efforts. Using a quantitative research design, data were collected through an anonymous online survey distributed to all faculty and staff. The survey measured participants’ confidence across multiple crisis scenarios, perceptions of preparedness and response competency, and participation in crisis-related training. A total of 135 participants completed the survey, and descriptive statistics, including mean confidence and agreement scores, were used to …
Robert, Powers; Unl Chemistry; Nmr-Assisted Drug Discovery, Mark Griep, Robert Powers
Robert, Powers; Unl Chemistry; Nmr-Assisted Drug Discovery, Mark Griep, Robert Powers
Department of Chemistry: Faculty Interviews
Dr. Robert Powers became a chemistry professor at the University of Nebraska-Lincoln in 2003 and is about to retire after 23 years. Prior to UNL, Bob was a drug discovery researcher for 11 years at American Cyanamid, which eventually became Wyeth and is now part of Pfizer. Bob was born in Jersey City, New Jersey. Something in his youth must have sparked an interest in chemistry because he earned a bachelor's in that subject from Rutgers University in New Brunswick. Then he traveled 1200 miles west to Purdue University in Indiana where he earned his doctorate. Next, he did postdoctoral …
Real-Time Instruction Internalization For Large Language Models, Brenden Smith
Real-Time Instruction Internalization For Large Language Models, Brenden Smith
Theses and Dissertations
For the end user, Large Language Models (LLMs) are programs that process natural language inputs into natural language outputs. In popular usage, this tends to take the form of conversation: a user asks a question, provides information, or gives instructions, and the LLM (hopefully) replies in a manner we would expect of an informed and compliant person. While convenient and intuitive for users, this natural conversational format encourages the misconception that LLMs are learning from conversations, when they do not. This work presents the benefits and practicality of a language model paradigm that meets this user expectation -- that is, …
Spectral Classification Of Diverse Lithologies Using Multi- And Hyperspectral Satellite Data: A Comparative Study, Önder Gürsoy, Emre Özelkan, Rutkay Atun, Ayşe Betül Çalişkan, Ahmet Efe
Spectral Classification Of Diverse Lithologies Using Multi- And Hyperspectral Satellite Data: A Comparative Study, Önder Gürsoy, Emre Özelkan, Rutkay Atun, Ayşe Betül Çalişkan, Ahmet Efe
Turkish Journal of Earth Sciences
Accurate lithological mapping requires selecting the appropriate remote sensing data and classification methods. This study evaluates the performance of four satellite datasets—Landsat 8 OLI, Sentinel-2A, ASTER, and Hyperion EO-1—using three spectral classification techniques: Matched Filtering (MF), Spectral Angle Mapper (SAM), and Spectral Information Divergence (SID). The study area is located between the Zara and Koyulhisar districts in eastern Türkiye and comprises diverse lithological units. A total of 49 rock samples collected in the field were used for validation. The results indicate that MF consistently outperformed the other methods, achieving the highest accuracy with Landsat 8 (Kappa = 94.2%). ASTER data …
Patterns And Drivers Of Cladocera Community Structure In The Black Sea, Elena Bisinicu, Luminita Lazar
Patterns And Drivers Of Cladocera Community Structure In The Black Sea, Elena Bisinicu, Luminita Lazar
Turkish Journal of Zoology
Cladoceran community dynamics were examined in the Romanian sector of the Black Sea during the warm seasons of 2013– 2020, using Marine Reporting Units (MRUs) to evaluate spatial heterogeneity across transitional, coastal, and marine waters. Analyses of density, biomass, mean individual biomass (MIB), and species composition revealed interannual fluctuations superimposed on strong nearshore–offshore gradients, with higher values in transitional and coastal MRUs. The assemblage was consistently dominated by Pleopis polyphemoides and Penilia avirostris, which together accounted for most of the total abundance and biomass. Multivariate analysis identified significant differences in taxonomic composition across MRUs and years, while correlation analyses highlighted …
Endemism Patterns Of Leaf Beetles (Coleoptera: Chrysomelidae) In Türkiye, İsmai̇l Şen, Ali̇ Gök
Endemism Patterns Of Leaf Beetles (Coleoptera: Chrysomelidae) In Türkiye, İsmai̇l Şen, Ali̇ Gök
Turkish Journal of Zoology
In this study, the distribution of endemic leaf beetles in Türkiye was analyzed holistically at the provincial scale using species richness (ENR), corrected weighted endemism (CWE), and range-restricted endemism (RRE) indices. A total of 95 endemic taxa were found in Türkiye and these taxa exhibited significant spatial heterogeneity in terms of richness and extent of distribution. The Western and Central Taurus Mountains and the Eastern Black Sea Region were found to be the main centers of endemism, with high densities of narrowly distributed and geographically restricted species. These patterns clearly demonstrate that key biogeographic factors, such as steep elevation gradients, …
All Hands On Deck: How Virginia’S Fentanyl Strategy Can Guide State Policy, Lydia W. Couric
All Hands On Deck: How Virginia’S Fentanyl Strategy Can Guide State Policy, Lydia W. Couric
Journal of Statesmanship & Public Policy: Briefs and Commentaries
No abstract provided.
How Religion, Morality, And Worldview Impact Public Policy, Adam Opp
How Religion, Morality, And Worldview Impact Public Policy, Adam Opp
Journal of Statesmanship & Public Policy: Briefs and Commentaries
It is important to examine the intersection between religion, morality, and worldview when analyzing the creation of public policy. Faith and spiritual beliefs play a key role in how an individual behaves as a policymaker and how they view the role of government. Religion considers the critical role of authority, which the government must analyze if the people have given it the authority to take a course of action. Morality asserts that the purpose of government is to maintain a system of justice that protects individual rights. Worldview highlights the framework individuals take in approaching the role of government and …
Hyperspectral Image Classification Using Novel 1-D And 2-D Deep Neural Networks, Özlem Polat, Zümray Dokur, Tamer Ölmez
Hyperspectral Image Classification Using Novel 1-D And 2-D Deep Neural Networks, Özlem Polat, Zümray Dokur, Tamer Ölmez
Turkish Journal of Earth Sciences
Hyperspectral image (HSI) classification is of critical importance in many fields including agriculture, geology, environmental monitoring, and urban planning. In recent years, many researchers have utilized deep neural networks (DNNs), known for their high performance in the classification of HSIs. When 2-D/3-D convolutional neural networks are used in HSI classification, filters are applied using input patches typically larger than 11 × 11. This allows spectral and spatial features to be evaluated together. However, this combination creates several problems. Because HSIs have low spatial resolution, they often do not contain strong texture details. Furthermore, features with little relevance to classification make …
A Shallow Landslide Hazard Assessment Using A Probabilistic Approach: An Example From Northeastern Türkiye (Beşikdüzü, Trabzon), Kübra Tezel, Aykut Akgün
A Shallow Landslide Hazard Assessment Using A Probabilistic Approach: An Example From Northeastern Türkiye (Beşikdüzü, Trabzon), Kübra Tezel, Aykut Akgün
Turkish Journal of Earth Sciences
The objective of this study was to identify and assess shallow landslide hazard in both spatial and temporal terms within the boundaries of Beşikdüzü District in northeastern Türkiye. The workflow was initiated with the development of a detailed multitemporal mass‑movement inventory map derived from satellite imagery provided on the Google Earth platform,1 covering the period between 2000 and 2018. Inventory mapping was complemented by extensive field verification campaigns to identify discrepancies, confirm spatial accuracy, and document additional morphological details that could not be detected from imagery alone. A 10-m spatial resolution digital elevation model (DEM) was generated from 1:25,000-scale digital …
Responsible Ai Practices In Engineering Programming, Mohamed Elfaham
Responsible Ai Practices In Engineering Programming, Mohamed Elfaham
AI Assignment Library
This project demonstrates how responsible AI tools can be integrated into engineering programming assignments to support learning, debugging, verification, and critical evaluation while maintaining student accountability and independent problem-solving skills.
Does Climate Finance Empower Or Exclude Women? Evidence From Bangladesh, Sofia Castelo, Lia G. Antunes, Md. Ashrafuzzaman
Does Climate Finance Empower Or Exclude Women? Evidence From Bangladesh, Sofia Castelo, Lia G. Antunes, Md. Ashrafuzzaman
Journal of International Women's Studies
Despite the formal adoption of gender policies by significant climate funds and international agreements aimed at promoting equity, only 2.3% of global climate finance is explicitly allocated to gender equality, and women remain significantly underrepresented in climate-related decision-making processes. Although several climate funds, such as the Green Climate Fund and the Adaptation Fund, have successfully integrated gender components, implementation often remains symbolic rather than transformative. Drawing on a critical ecofeminist framework, this article examines how climate finance mechanisms, particularly in the Global South, can inadvertently reinforce existing gender inequities. Using Bangladesh as a case study, this analysis synthesizes existing literature …
Improving Explainability And Interpretability Of Neural Networks Via Hyperparameter-Extended Influence Functions, William Breslin
Improving Explainability And Interpretability Of Neural Networks Via Hyperparameter-Extended Influence Functions, William Breslin
Dissertations and Theses
Understanding how model predictions and training outcomes vary with changes in data, features, and modeling choices is central to explainable artificial intelligence. This dissertation introduces a unified framework for explainability by generalizing classical influence functions to encompass user-defined hyperparameters embedded in the training loss, model architecture, or data representation. By extending influence functions in this way, the framework broadens their applicability and integrates multiple explainability techniques into a single, coherent approach. It provides a common mathematical foundation linking data impact, feature importance, and model design analysis, and supports a broad class of additional explainability analyses beyond these settings. The demonstrated …
Study Highlights Opportunities To Improve Birth Control Education, Marisa C. Atkinson
Study Highlights Opportunities To Improve Birth Control Education, Marisa C. Atkinson
University of Mississippi News
OXFORD, Miss. – A University of Mississippi study reveals that young women aged 16 to 24 across the nation do not necessarily have the needed knowledge when it comes to birth control.
Basic Governing Documents, Effective 2026-05-18, University Of Dayton
Basic Governing Documents, Effective 2026-05-18, University Of Dayton
University Governing Documents
Contains:
- Amended and Restated Articles of Incorporation
- Code of Regulations of the University of Dayton
- Bylaws of the Board of Trustees
Crowding In Private Capital For Climate Adaptation In India, Shreya Bajaj
Crowding In Private Capital For Climate Adaptation In India, Shreya Bajaj
Master in Public Policy Theses
Reports show that India is highly vulnerable to climate change. Mitigation efforts alone cannot address these risks, and adaptation remains essential. Yet while much of the existing literature documents the adaptation finance gap, it offers less practical guidance on where private capital can realistically be used and what institutional arrangements are needed to make it work. This paper tries to address that gap in the Indian context.
This paper examines three adaptation finance use cases through which private capital could support climate adaptation and resilience in India: parametric disaster risk transfer, pooled municipal finance, and water fund. For each issue, …
A Just Reimagining Of The Loss & Damage Fund, Sarah Cheung
A Just Reimagining Of The Loss & Damage Fund, Sarah Cheung
Master in Public Policy Theses
The Fund for Responding to Loss and Damage (FRLD), established at COP28 in 2023, represents a historic diplomatic breakthrough in multilateral climate finance, yet its design reflects the compromises necessary to secure political agreement rather than a just institutional architecture. This thesis evaluates the FRLD and two prominent reform proposals—the Bridgetown Initiative 3.0 and Esther Duflo's Grand Bargain—against a novel framework that provides a more precise way to evaluate the “justness” of different arrangements. This framework encompasses three dimensions: compensatory, distributive, and procedural justice. [JS1] A dimension of justice is achieved in a two-fold manner; first, through rhetorical commitments in …
The Offense-Defense Balance And The Modern System In Ukraine, Daniel Hogestyn
The Offense-Defense Balance And The Modern System In Ukraine, Daniel Hogestyn
Master in Public Policy Theses
This thesis evaluates whether the Russo Ukrainian war represents a revolution in military affairs (RMA) by testing Stephen Biddle’s "modern system" theory of battlefield outcomes against recent combat operations. Applying Biddle’s formal model to the 2023 Ukrainian offensive in Zaporizhia, the thesis finds that the offensive's failure conforms closely to Biddle’s causal logic, with force employment variables drawn from 20th century combat sufficient to account for the outcome. Biddle's model in military power argues that force employment has explained victory and defeat since World War I, rather than technology or numerical preponderance alone. Many commentators claim that proliferation of small …
Governance And Ethical Gaps In The J-1 Summer Work And Travel Program: A U.S.–China Case Study On Public Trust And Participant Protection, Yuhong Min
Master in Public Administration Theses
This study examines how implementation gaps shape public trust in transnational exchange programs, using the J-1 Summer Work Travel (SWT) program as a case in a U.S.–China context. The SWT program, a U.S. government–regulated cultural exchange initiative, is designed to promote cultural exchange through a well-established regulatory framework. It operates through a multi-actor governance system involving government agencies, nonprofit sponsors, employers, and intermediary organizations across national boundaries.
Drawing on a mixed-methods approach that combines 43 survey responses and 9 semi-structured interviews, this study explores how program design is translated into practice and how governance dynamics affect participant experiences. The findings …
Increasing Near-Miss Reporting: An Evidence-Based Approach, Rosalud H. Sanchez-Lozada
Increasing Near-Miss Reporting: An Evidence-Based Approach, Rosalud H. Sanchez-Lozada
Doctoral Projects
Near-miss events, defined as errors intercepted before reaching the patient, offer valuable opportunities for learning and prevention, particularly in high-acuity intensive care units (ICUs). Despite the availability of electronic reporting systems and national emphasis on patient safety, near-miss reporting remains inconsistent in many critical care settings. This Doctor of Nursing Practice (DNP) quality improvement project evaluated the impact of a structured educational intervention on near-miss reporting within a cardiovascular intensive care unit (CVICU) at a large academic medical center. A single-group pre–post design was used to examine changes in reporting trends following a three-week intervention that included staff education, leadership …