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Articles 73471 - 73500 of 5206366
Full-Text Articles in Entire DC Network
Abnormal Pupils At The Bedside: Rapid Recognition Of Neurologic And Systemic Emergencies In Acute Care Settings., Dawn C Penney, Zoë M Rushetsky, Donald Penney
Abnormal Pupils At The Bedside: Rapid Recognition Of Neurologic And Systemic Emergencies In Acute Care Settings., Dawn C Penney, Zoë M Rushetsky, Donald Penney
PCOM Scholarly Works
Background: Pupillary abnormalities are critical bedside findings that may indicate both benign physiologic variation and life-threatening neurologic emergencies. In emergency and urgent care settings, rapid interpretation of pupillary findings is essential for early recognition of intracranial pathology, vascular lesions, toxicologic syndromes, and ocular disease.
Objective: To summarize clinically significant pupillary abnormalities encountered in acute care and propose a structured bedside framework to distinguish benign from emergent etiologies.
Methods: A narrative review of the literature was conducted, focusing on pupillary neuroanatomy, examination techniques, and underlying pathophysiologic mechanisms relevant to emergency practice. Results Key conditions reviewed include physiologic anisocoria, Horner syndrome, Adie …
Midweek Memo, Georgia Southern University
Midweek Memo, Georgia Southern University
Midweek Memo
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- Around the Nest
The George-Anne Daily, Georgia Southern University
The George-Anne Daily, Georgia Southern University
George-Anne Media Group: Newsletters & Magazines
No abstract provided.
Recent Advances In Graphene-Based Field-Effect Transistor Biosensors For Disease Biomarker Detection And Clinical Prospects, Deeksha Nagpal, Anup Singh, John Link, Abijeet Mehta, Ashok Kumar, Vinay Bhudhraja
Recent Advances In Graphene-Based Field-Effect Transistor Biosensors For Disease Biomarker Detection And Clinical Prospects, Deeksha Nagpal, Anup Singh, John Link, Abijeet Mehta, Ashok Kumar, Vinay Bhudhraja
Health & Biomedical Sciences Faculty Publications
Field-effect transistor (FET) biosensors using graphene have become one of the most promising biosensing platforms for the early diagnosis of diseases with features such as high sensitivity, label-free detection and application compatibility with point-of-care systems. Herein, we critically discuss recent advances in graphene FET (GFET) biosensor development toward clinically relevant biomarkers associated with representative diseases including cancer, neurodegenerative disease, infectious disease, and inflammatory conditions. Recent progress was reviewed to evaluate GFET architectures, surface functionalization methods, and detection quality. The biomarkers explored were clusterin in Alzheimer’s disease, thrombin in coagulopathy, estrogen receptor α (ER-α) in breast cancer, Carcinoembryonic antigen in lung …
The Limitations Of Sexual Categories, The Philosophical Discussion Group
The Limitations Of Sexual Categories, The Philosophical Discussion Group
The Philosopher's Stone
- The Limitations of Sexual Categories
Secure Machine Learning In Networking Systems, Wenwei Zhao
Secure Machine Learning In Networking Systems, Wenwei Zhao
USF Tampa Graduate Theses and Dissertations
With the rapid integration of Machine Learning (ML) into networking systems, ensuring the security and trustworthiness of these intelligent frameworks has become a paramount concern. While ML offers unprecedented capabilities in spectrum management and collaborative learning, it also introduces novel vulnerabilities that can be exploited by sophisticated adversaries. This dissertation investigates and addresses critical security challenges across three key dimensions of ML-driven networking: adversarial spectrum sensing, the security of privacy-preserving unlearning processes, and efficient post-attack model recovery.
First, we address the threat of adversarial spectrum attacks in cognitive radio networks, where malicious nodes manipulate sensing reports to disrupt spectrum access. …
Critical Discourse Analysis Of Turnaround Leadership Competencies Using A Transformative Leadership Framework, Kevin D. Mcdonald
Critical Discourse Analysis Of Turnaround Leadership Competencies Using A Transformative Leadership Framework, Kevin D. Mcdonald
USF Tampa Graduate Theses and Dissertations
School turnaround leadership has become a leading strategy to address school underperformance emphasizing rapid and dramatic improvement in a school within the bottom five percent of schools as measured by gains in both mathematics and English Language Arts. However, prevailing turnaround leadership discourse largely centers technical and managerial competencies, often marginalizing leadership practices oriented toward equity, advocacy, and social transformation. This narrowing of leadership is particularly consequential for Black male principals, who are disproportionately assigned to low-performing and turnaround schools and whose leadership practice frequently reflects core elements of transformative leadership.
The purpose of this dissertation was to explore current …
The Molecular Determinants Of Deglycation And Substrate Specificity In Fructosamine Kinases, Jenet Matlack
The Molecular Determinants Of Deglycation And Substrate Specificity In Fructosamine Kinases, Jenet Matlack
USF Tampa Graduate Theses and Dissertations
Protein glycation is a universal, non-enzymatic modification that occurs when a sugar covalently attaches to a primary amine. These spontaneous modifications may have deleterious or regulatory effects on protein function, and their removal is mediated by the conserved metabolic kinase fructosamine-3-kinase (FN3K). Despite its crucial role in protein repair, we currently have a poor understanding of how FN3K engages or phosphorylates its substrates. Additionally, the molecular basis for the distinct yet overlapping substrate specificities of FN3K and its paralog, ketosamine-3 kinase (KT3K), remains unresolved. By integrating structural biology, biochemistry, and ancestral protein reconstruction (APR), this thesis elucidates the catalytic mechanism …
Butte Priority Soils Operable Unit Diggings East Final 95% Remedial Design Package Submittal, Josh Bryson
Butte Priority Soils Operable Unit Diggings East Final 95% Remedial Design Package Submittal, Josh Bryson
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Effective Marketing Strategies Of Private Entities For Leading The United States Military Armed Forces, Harry B. Willis Iii
Effective Marketing Strategies Of Private Entities For Leading The United States Military Armed Forces, Harry B. Willis Iii
Walden Dissertations and Doctoral Studies
Ineffective marketing strategies contribute to lower retention outcomes by failing to communicate the value of training programs and build sustained community engagement. Training managers must implement intentional marketing strategies that strengthen community engagement and improve participant retention. Grounded in organization theory, the purpose of this qualitative pragmatic inquiry was to explore the successful marketing strategies used by training managers of private organizations in the United States to increase military numbers. The participants were six training managers from the Southwest United States. Data were collected from semistructured interviews. Through thematic analysis, four themes emerged: (a) marketing strategies, (b) training managers, (c) …
On Graded Strongly J_Gr^Soc-2-Absorbing Submodules, Malak Alnimer, Khaldoun Al-Zoubi
On Graded Strongly J_Gr^Soc-2-Absorbing Submodules, Malak Alnimer, Khaldoun Al-Zoubi
Baghdad Science Journal
Let $\mathfrakB$ be a graded commutative ring with unity, and let $\mathfrakW$ be a graded unital $\mathfrakB$-module. This study introduces and develops the concept of graded strongly $J_gr^Soc$-2-absorbing submodules, a natural extension of graded $J_gr$-2-absorbing submodules within the framework of graded module theory. The motivation for this generalization stems from the need to better capture the interplay between graded algebraic structures and the behaviors of certain radicals and socles under graded operations. A properly graded submodule $N$ of $\mathfrakW$ is defined as a graded strongly $J_gr^Soc$-2-absorbing submodule if, for all $b,uin h( \mathfrakB )$ and $cin h( \mathfrakW )$, the …
Enhanced Botnet Detection Using A Modified Naïve Bayes Algorithm With Laplace Smoothing And Famd-Based Feature Agglomeration, Ahmed L. Alshami, Bashar M. Nema, Alaa H. Al-Hamami
Enhanced Botnet Detection Using A Modified Naïve Bayes Algorithm With Laplace Smoothing And Famd-Based Feature Agglomeration, Ahmed L. Alshami, Bashar M. Nema, Alaa H. Al-Hamami
Baghdad Science Journal
Botnets turned into a security problem that would put user privacy and security at risk. Progressive and flexible Machine Learning (ML) techniques are necessary for robust botnet revealing. In this study researchers presented an integration of the modified Naïve Bayes and M3L algorithms that uses Factor Analysis of Mixed Data (FAMD) for feature aggregation, and Laplace smoothing for adjustment to address the limitation of conventional Naïve Bayes classifiers for detecting botnet. The modified algorithm uses Laplace smoothing to address problems with zero-frequency data and improve the classifier's adaptability. FAMD was used to merge continuous and categorical features to improve the …
Dual Focus Attention Block Unet (Dfab-Unet) For Robust Skin Lesion Segmentation, Fallah H. Najjar, Farhan Mohamed, Mohd Shafry Mohd Rahim, Diana Sofia De Oliveira Bernardo, Luís Filipe Almeida Bernardo, Vei Siang Chan
Dual Focus Attention Block Unet (Dfab-Unet) For Robust Skin Lesion Segmentation, Fallah H. Najjar, Farhan Mohamed, Mohd Shafry Mohd Rahim, Diana Sofia De Oliveira Bernardo, Luís Filipe Almeida Bernardo, Vei Siang Chan
Baghdad Science Journal
Skin cancer is the most fatal type of cancer worldwide. Prognosis is generally much better with early detection and effective treatment relies on an accurate diagnosis of skin lesions. Despite progress in deep learning, there is still a challenge to provide accurate segmentation of dermoscopic skin lesions due to image variations stemming from different illuminative input parameters, different resolutions/image sizes, image artifacts and varying skins. These differences hinder state-of-the-art models from learning pixel-precise lesion boundaries or more contextual features, consequently impairing their generalization and clinical applicability. We introduce a new architecture called Dual Focus Attention Block UNet (DFAB-UNet) with intrinsic …
Hybrid Neural Network Model Defenses, Eric Yocam
Hybrid Neural Network Model Defenses, Eric Yocam
Dissertations
Hybrid neural networks (HNNs), which integrate classical convolutional neural networks with quantum circuit components, are highly vulnerable to white-box targeted compound (WTC) adversarial attacks. Previous research has primarily evaluated defenses against single-method attacks, leaving a critical gap in understanding defense effectiveness against compound attacks that combine multiple perturbation strategies. This research study systematically evaluates defense mechanisms against WTC adversarial attacks on HNN models across 120 experimental conditions. Three defense categories are investigated: test-time defenses (input transformation and randomization, applied during inference without retraining) and training-time defense (adversarial training, requiring model retraining). Evaluation uses four datasets (MNIST, EMNIST "Digits", TinyImageNet, TrafficSigns) …
Newsletter 2026.03.25, Fcrh Honors Program
Newsletter 2026.03.25, Fcrh Honors Program
What's Going On, Honors? (2025-26)
No abstract provided.
Fasting-Based Dietary Interventions In Cancer Patients And Survivors: A Scoping Review, Kuang-Yi Wen, Julianne Freedman, Abenezer Melaku Tafese, William Kevin Kelly, Nicole L Simone
Fasting-Based Dietary Interventions In Cancer Patients And Survivors: A Scoping Review, Kuang-Yi Wen, Julianne Freedman, Abenezer Melaku Tafese, William Kevin Kelly, Nicole L Simone
Department of Medical Oncology Faculty Papers
Background: Fasting-based interventions are increasingly investigated as adjuncts to cancer treatment for the potential to reduce therapy-related toxicities, improve metabolic health, and enhance quality of life. However, clinical evidence regarding their efficacy, tolerability, and acceptability remains limited and fragmented. This scoping review aimed to systematically map the current evidence on fasting-based interventions in cancer patients and survivors.
Methods: A literature search was conducted in PubMed, Scopus, Web of Science, and CINAHL up to 10 June 2025. Eligible interventional studies included cancer patients or survivors and evaluated fasting-based interventions, such as time-restricted eating, intermittent fasting, short-term fasting, or fasting-mimicking …
Extending The Geometric Phase To Relativistic Spacetime, Sajid Raihan Akash
Extending The Geometric Phase To Relativistic Spacetime, Sajid Raihan Akash
Department of Physics and Astronomy: Dissertations, Theses, and Student Research
The Berry phase [3] is traditionally understood as a geometric phase acquired during cyclic adiabatic evolution, often interpreted as the flux of an effective “magnetic field” through a solid angle in parameter space. In this thesis, we investigate situations in which a geometric phase arises even when no spatial solid angle is enclosed, revealing the limitations of the standard purely spatial interpretation. We first review the Berry phase for a spin-½ particle in a slowly varying magnetic field and analyze scenarios in which the system’s eigenstate is changed during the adiabatic evolution. We show that the resulting phase can be …
Marcus Garvey Preservation Llc V. Chappelle
Marcus Garvey Preservation Llc V. Chappelle
All Decisions
In this nuisance/breach of lease holdover proceeding, the tenant moved to compel the landlord to substantively respond to a demand for a bill of particulars. The court found the landlord's initial responses "boilerplate and evasive" and insufficient. The court granted the tenant's motion, ordering the landlord to supplement the bill of particulars by a specific date. A conditional and self-executing preclusion order was issued, which will prevent the landlord from entering the requested particulars into evidence if they fail to comply fully and timely, thereby limiting their ability to prove their prima facie case.
2026-03-25 President's Senior Cabinet Update, Morehead State University. Staff Congress., President's Senior Cabinet.
2026-03-25 President's Senior Cabinet Update, Morehead State University. Staff Congress., President's Senior Cabinet.
Staff Congress Records
Announcement from the President's Senior Cabinet meeting from March 25, 2026.
Phase Patterning In Mother-Infant Interbrain Synchrony And Its Associations With Dyadic Behaviors During Free Play, Lindsey M. Riera-Gomez
Phase Patterning In Mother-Infant Interbrain Synchrony And Its Associations With Dyadic Behaviors During Free Play, Lindsey M. Riera-Gomez
Electronic Theses and Dissertations 2020 - Present
Interbrain synchrony (IBS), or coordinated brain activation, between parents and infants is thought to support emerging social and cognitive development. Few studies have examined how neural coupling unfolds during the second year of life; a period marked by growing autonomy and complexity during play. Using functional near-infrared spectroscopy (fNIRS) hyperscanning, this study investigated mother-infant brain-to-brain synchrony during naturalistic free play interactions with a sample of 31 mother-infant dyads (12-24 months). Interbrain synchrony was examined in six cortical regions of interest (ROIs), with a focus on phase alignment. Rigorous behavioral coding captured maternal sensitivity, intrusiveness, child involvement, and dyadic relational qualities. …
Mdm4 At The Crossroads: Beyond P53 And Mdm2., Dipesh Thapa, Allison St John, Alejandro Parrales, Atul Ranjan, Tomoo Iwakuma
Mdm4 At The Crossroads: Beyond P53 And Mdm2., Dipesh Thapa, Allison St John, Alejandro Parrales, Atul Ranjan, Tomoo Iwakuma
Manuscripts, Articles, Book Chapters and Other Papers
MDM4 (Murine Double Minute 4), also known as MDMX, is a crucial negative regulator of the tumor suppressor p53. MDM4 heterodimerizes with MDM2 to enhance MDM2-mediated ubiquitination and degradation of p53, thereby promoting tumorigenesis. Beyond its canonical role in inhibiting p53 activity, recent studies have revealed diverse p53-independent functions. MDM4 interacts with various proteins, including p73, E2F1, casein kinase 1α, PPARα, and TRIM21 to regulate cell cycle progression, β-catenin-mediated pre-leukemic progression, and ferroptosis independent of p53. In addition, MDM4 functions independently of both p53 and MDM2 by interacting with proteins, such as SMAD family members 3/4, retinoblastoma protein (pRB), p21, …
Spectrum, Volume 56, Issue 7, Sacred Heart University
Spectrum, Volume 56, Issue 7, Sacred Heart University
Newspapers (Obelisk & Spectrum)
Highlights include: 2026 Founder’s Day Celebration -- Men Against Violence Campaign -- The Luck of the Draw -- Hands-On Learning With The Criminal Justice Club -- Rallying Late for a MAAC Tournament Run
The Use Of Artificial Intelligence For Innovation In The Public Procurement System, Karem Sayed Aboelazm, Khalid Mohamed Dganni, Fady Tawakol, Raghda Raafat
The Use Of Artificial Intelligence For Innovation In The Public Procurement System, Karem Sayed Aboelazm, Khalid Mohamed Dganni, Fady Tawakol, Raghda Raafat
All Works
Public procurement represents a substantial share of national economies and is increasingly shaped by the deployment of artificial intelligence (AI). The research problem addressed in this study concerns how AI can be integrated into public procurement systems without undermining core principles of transparency, accountability, and legality. The purpose of the paper is to examine the transformative potential of AI in public procurement while identifying the legal, institutional, and ethical challenges it generates. Methodologically, the study adopts a comparative analytical approach based on procurement laws, government reports, and peer-reviewed scholarship, focusing on the United Arab Emirates (UAE), Estonia, and South Korea. …
Engagement Patterns With #Naturalremedies On Tiktok: Formative Analysis, Apeksha Mewani, Corey H. Basch, Keanu Renne-Glover, Vincent Jones Ii, Cristiana Cordero, Adea Gutiqi
Engagement Patterns With #Naturalremedies On Tiktok: Formative Analysis, Apeksha Mewani, Corey H. Basch, Keanu Renne-Glover, Vincent Jones Ii, Cristiana Cordero, Adea Gutiqi
Publications and Research
This research letter provides formative evidence from a cross-sectional analysis of 118 TikTok videos under #NaturalRemedies, identifying content formats and expertise cues associated with higher engagement, while also demonstrating the feasibility of using engagement metrics and thematic coding to analyze health narratives on emerging platforms such as TikTok.
An Analysis And Performer's Guide Of Boulder Canyon, Hoover Dam By Clark Hubbard, Tyler Hawk
An Analysis And Performer's Guide Of Boulder Canyon, Hoover Dam By Clark Hubbard, Tyler Hawk
LSU Doctoral Dissertations
Clark Hubbard is currently the Assistant Director of the Vanderbilt Marching and Athletic Bands. He is active as an American percussionist, composer, artist, and educator. His compositions have been performed throughout the United States and overseas, including solo, chamber, percussion, and electronic compositions. This document aims to analyze Boulder Canyon, Hoover Dam, discussing how the fixed media influences musical decisions. This document is also a performer’s guide for the piece.
Percussion with fixed media has been composed for since the early to middle 1900s. Inspiration from the techniques and early pieces of fixed media composition can be found in …
The Impact Of The Two-Way Immersion Model On Hispanic Pre-Service And In-Service Teachers’ Understanding Of Curriculum Implementation In Early Childhood Field Placements, Omar J. Vigo
LSU Doctoral Dissertations
ABSTRACT
Dual language education, also known as Two-Way Immersion (TWI), is a teaching method that puts native English speakers and native speakers of another language in the same classroom. This helps both groups become bilingual and biliterate (Christian, 1996; Lindholm-Leary, 2001). The TWI approach highlights several benefits, including bilingualism and biliteracy, academic achievement, cross-cultural competence, cognitive improvements, and equity and accessibility (Lindholm-Leary, 2001). Research on the TWI model in adults is limited, although it has demonstrated effectiveness in supporting Hispanic teacher candidates, unlike studies conducted in primary education. This demonstrates that the TWI methodology benefits students (Van Booven, 2012). This …
Mould Risk Prevention In Healthcare Facilities In Hot And Humid Climates Through Acmv Air Supply Parameter Optimisation: Development And Validation Of A Multi-Objective Optimisation Framework, Jiang Kaiyun
Student Works (2020-2029)
Air conditioning mechanical ventilation (ACMV) supply parameters—such as airflow rate, temperature, and humidity—significantly influence indoor thermal and hygrometric conditions, influencing airflow patterns and mould proliferation. In healthcare facilities, mould poses significant health risks, particularly for immunocompromised patients, contributing to respiratory issues, allergic reactions, and infections. While ACMV systems are central to infection control and indoor air quality, conventional designs often fall short in hot and humid climates. Existing practices typically prioritise high air change rates (ACH) without sufficient dehumidification, underestimate humidity control, and assume spatial homogeneity, overlooking microclimates conducive to localised mould growth. To address these limitations, this research develops …
Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen
Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen
Engineering Faculty Articles and Research
Accurate and early diagnosis of Alzheimer’s disease (AD) is critical for effective intervention, disease monitoring, and patient care. Traditional diagnostic approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, which may fail to capture the complex, multifaceted nature of AD. Multimodal learning has therefore been explored to integrate complementary information across data sources. However, conventional fusion strategies, including early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions. To address these limitations, we propose a multimodal tensor fusion network (MTFN) that integrates heterogeneous data sources, including visual …
The Bg News March 25, 2026, Bowling Green State University
The Bg News March 25, 2026, Bowling Green State University
BG News (Student Newspaper)
The BGSU campus student newspaper. March 25, 2026. Volume 105-Issue 22.
Unm Fulbright Us Scholar Info Session, Aferdita Krasniqi
Unm Fulbright Us Scholar Info Session, Aferdita Krasniqi
LAII Events
Join this info-session to learn more about the Fulbright U.S. Scholar Program. This program provides opportunities for American academics (including postdocs and temporary faculty), artists, and established professionals to conduct research, teach, and carry out professional projects in over 135 countries.