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Articles 90511 - 90540 of 2913336
Full-Text Articles in Entire DC Network
Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein
Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein
Mansoura Engineering Journal
Global warming is pressing issue, primarily driven by increasing in greenhouse gas emissions with CO2 accounting for 64% of total emissions. It was founded that produce one ton of Ordinary Portland Cement (OPC) producing one ton of CO2. To address these issues, geopolymers derived from fly ash (FA) have been proposed as a superior alternative to cement. This research presents a comparative review of OPC and FA-based geopolymers in the context of CO2 sequestration. The research investigates the behavior of FA-based geopolymer cement, focusing on the influence of preparation conditions on its mechanical performance, bond strength, and the effect of …
Reviving Heritage, Soreya Ganda
Reviving Heritage, Soreya Ganda
Bachelor of Architecture Theses - 5th Year
Niger’s cultural identity is shaped by a rich mosaic of ethnic groups, including the Hausa, Zarma-Songhai, Tuareg, and Fulani, each with distinct traditions, building practices, and relationships to the land. For centuries, these communities lived according to their own social and spatial systems, rooted in environment-specific knowledge and craftsmanship. This balance was disrupted during the French colonial period, which began in the late 19th century and lasted until Niger’s independence in 1960. Colonial administration redrew territorial boundaries, centralized authority, and introduced foreign materials, aesthetics, and construction standards, redefining how people built and interacted with their environments. While Niger now appears …
The Parthenon, July 23, 2025, Baylee Parsons, Kaitlyn Fleming, Ashton Pack, Nate Harrah, Soleil Woolard
The Parthenon, July 23, 2025, Baylee Parsons, Kaitlyn Fleming, Ashton Pack, Nate Harrah, Soleil Woolard
The Parthenon
No abstract provided.
Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford
Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford
Theses and Dissertations
Math Information Retrieval (MIR) aims to revolutionize the retrieval of math information by addressing the challenges in representing, retrieving, and producing highly specialized math content. In order to develop a robust MIR system, designers must be able to process math equations (MEs) to a format that different systems can use, which is difficult due to various formats math information are stored in, including visual images and document texts. To improve the usage of math information in varied forms for people who are learning and utilizing math, we propose three different methods of handling ME data. The first method is a …
Biography Of Dr. Susan D. Rutherford, Susan D. Rutherford
Biography Of Dr. Susan D. Rutherford, Susan D. Rutherford
Series 01: History of DEAF Media, Inc.
No abstract provided.
About Deaf Media: A History, Susan D. Rutherford, Rick Clogher
About Deaf Media: A History, Susan D. Rutherford, Rick Clogher
Series 01: History of DEAF Media, Inc.
A comprehensive history of DEAF Media, Inc. including its founding, main activities, and purpose for existing.
Structural Differential Privacy In Graph Neural Networks, Bibek Giri
Structural Differential Privacy In Graph Neural Networks, Bibek Giri
Master’s Dissertations
Graph Neural Networks (GNNs) have demonstrated impressive performance across a range of graph-based learning tasks. However, their application to domains with sensitive relational data raises serious privacy concerns, as the graph structure itself may leak confidential information. This thesis investigates a decentralized framework for enforcing edge-level local di!erential privacy (LDP) in graph-structured data. We introduce two mechanisms that perturb a node’s neighborhood in a privacy-preserving yet utility-aware manner. The first approach replaces randomly selected neighbors with feature-similar nodes from the 2-hop neighborhood, ensuring structural realism while preserving degree. The second approach eliminates the need for explicit 2-hop propagation and dummy …
July 23, 2025 Blazer Weekly, University Of Alabama At Birmingham
July 23, 2025 Blazer Weekly, University Of Alabama At Birmingham
Blazer Weekly (student newsletter)
No abstract provided.
Temporal And Generational Changes In Depression Among Young American Adults, Ashley W. Kranjac, Dinko Kranjac, Valentine Chung
Temporal And Generational Changes In Depression Among Young American Adults, Ashley W. Kranjac, Dinko Kranjac, Valentine Chung
Sociology Faculty Articles and Research
The prevalence of depression among young American adults has risen significantly over the past two decades, but the mechanisms that underlie the population-level changes in depressive symptoms severity remain unclear. We used data from the 2005–2023 National Health and Nutrition Examination Survey (NHANES) and hierarchical age–period–cohort (HAPC) analysis to examine developmental (i.e., age), life stage (i.e., period), and generational (i.e., cohort) distribution of depressive symptoms among American adults aged 20–30 years old over an 18-year period. Our model results indicate that the probability of either mild, moderate, or severe depression increased among young adult females and males between 2005 and …
The Influence Of Underwriter Reputation And Firm Age On Ipo Pricing Decision: A Study On Companies Conducting Ipos On The Indonesia Stock Exchange In 2021–2024, Daniel Nathan, Prima Yusi Sari
The Influence Of Underwriter Reputation And Firm Age On Ipo Pricing Decision: A Study On Companies Conducting Ipos On The Indonesia Stock Exchange In 2021–2024, Daniel Nathan, Prima Yusi Sari
Journal of Accounting Auditing and Business
This study aims to analyze the effect of underwriter’s reputation and firm age on IPO pricing decision among companies that went public on the Indonesia Stock Exchange (IDX) during the period 2021 to 2024. A quantitative approach was employed using multiple linear regression to examine the relationships between variables. The study’s sample consists of 229 companies that conducted IPOs within the specified period. The independent variables include underwriter’s reputation, categorized based on transaction volume rankings, and firm age, calculated as the difference between the year of establishment and the IPO year. The dependent variable is IPO pricing decision, represented by …
Changing Aspen Stand Structure Following Large Carnivore Restoration In Yellowstone, Luke E. Painter, Robert L. Beschta, William J. Ripple
Changing Aspen Stand Structure Following Large Carnivore Restoration In Yellowstone, Luke E. Painter, Robert L. Beschta, William J. Ripple
Aspen Bibliography
Restoration of large carnivores in northern Yellowstone National Park in the late 20th century resulted in a sustained reduction of Rocky Mountain elk (Cervus canadensis) and their herbivory, facilitating new growth of quaking aspen (Populus tremuloides) saplings. In 2020–21, we examined 87 randomly selected, previously sampled aspen stands across northern Yellowstone, combining random plots with stand-wide observations. Forty-three percent of stands contained a new cohort of small trees (5–10 cm dbh), the first documented recruitment of overstory aspen trees in northern Yellowstone since the 1940s. Both aspen saplings ( ≥2 m tall) and small trees were …
An Ai-Driven Framework For Real-Time Fake News Detection: Developing A Machine Learning-Based Filter For News Platforms In The United States, Umma Twaha, Yeasin Arfin
An Ai-Driven Framework For Real-Time Fake News Detection: Developing A Machine Learning-Based Filter For News Platforms In The United States, Umma Twaha, Yeasin Arfin
Engineering and Technology
The proliferation of fake news across digital platforms poses a significant threat to democratic processes, public health, and social cohesion in the United States. Manual fact-checking and traditional moderation approaches are increasingly inadequate due to the scale, speed, and sophistication of misinformation campaigns. This presents an AI-driven framework for real-time fake news detection, designed to serve as an intelligent filter for news platforms operating within the US media ecosystem. Leveraging natural language processing (NLP) techniques and machine learning algorithms—including supervised classifiers and deep learning models such as BERT and LSTM—the framework identifies deceptive content with high precision and low latency. …
Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari
Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari
Montclair State University Scholarship & Creative Works
Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing interconnectivity and reliance on digital components expose these vehicles to significant cybersecurity risks. To address these challenges, Zero Trust Architecture (ZTA) has emerged as a promising security framework. Operating on the principle of ‘never trust, always verify,’ ZTA offers a comprehensive approach to ensuring continuous trust verification in HEV systems. Despite its potential, the application of ZTA within cyber-physical vehicular systems remains underexplored, and its practical benefits and limitations are not yet fully understood by the engineering …
New Paradigms In E. Coli Hemolysin Function And Pathogenesis, Hunter Winston Kuhn
New Paradigms In E. Coli Hemolysin Function And Pathogenesis, Hunter Winston Kuhn
Arts & Sciences Graduate Student Theses and Dissertations
Bacterial pore-forming toxins are potent secreted protein effectors that disrupt cellular ion homeostasis by integrating into the plasma membrane. Among them, the RTX toxin alphahemolysin (HlyA) from uropathogenic Escherichia coli (UPEC) has been extensively studied for its hemolytic activity, broad cell tropism, and role in virulence. HlyA was identified as the first type 1 secreted substrate, with β2 integrin CD18/LFA-1 proposed as its receptor. However, its diverse mechanisms of cellular toxicity and impact on outcomes of urinary tract infection (UTI) have remained incompletely defined. During pyelonephritis, renal epithelial cells are at the front line of infection, directly contacting ascending UPEC …
Study Of Anomalous Variations In Seismic And Non-Seismic Parameters Using Machine Learning Techniques To Develop The Earthquake Forecasting Model In The Himalayan Belt, Senthil Kumar M
Theses and Dissertations
Understanding and forecasting earthquakes is not just about science it’s about saving lives, even as the dynamic and hidden nature of Earth's tectonic processes makes this an intricate challenge. The Himalayan belt is one of the most seismically active regions globally due to the collision of the Indian and Eurasian tectonic plates. Investigating this region is essential for understanding highly complicated tectonic mechanisms and reducing substantial hazards posed to millions of people by persistent and intense seismic events. This study aims to enhance forecasting methodologies by applying machine learning techniques while dealing with the inherent challenges of geological complexity and …
The Influence Of Sociodemographic Factors On Opioid Mortalities In The U.S. State Of Georgia, Theresa Highsmith
The Influence Of Sociodemographic Factors On Opioid Mortalities In The U.S. State Of Georgia, Theresa Highsmith
Walden Dissertations and Doctoral Studies
Since the late 1990s, the United States has been in the midst of an opioid epidemic that continues to present significant public health challenges. Opioid-related mortality, particularly involving fentanyl, has disproportionately affected vulnerable populations. The purpose of this quantitative study was to examine the associations between educational level, homelessness, and alcohol use with opioid-related overdose deaths involving fentanyl, while controlling for age, gender, and marital status, among Black and White populations in the U.S. state of Georgia. The theoretical framework was Bronfenbrenner’s socioecological model, which recognizes that individual behavior is influenced by multiple levels of factors, including interpersonal, community, and …
Adolescents' Use Of Music For Pain Management., Rebecca J. Lepping, Lora L. Black, Kymberly A. Kline, Deanna Hanson-Abromeit, Andrea L. Chadwick, Dustin Wallace, William R. Black
Adolescents' Use Of Music For Pain Management., Rebecca J. Lepping, Lora L. Black, Kymberly A. Kline, Deanna Hanson-Abromeit, Andrea L. Chadwick, Dustin Wallace, William R. Black
Manuscripts, Articles, Book Chapters and Other Papers
To investigate the experiences of adolescents with chronic pain who participated in an intensive interdisciplinary pain treatment program, this secondary study analyzes the themes that emerged regarding the spontaneous utilization of music in coping strategies for chronic pain. During research interviews focused on coping skills and treatment engagement, participants spontaneously reported using music as an effective coping strategy for managing pain. A deductive thematic analysis revealed key themes related to their usage, including using music as a distractor, motivator and in other ways as coping strategies. Since participants indicated that music is essential to their experiences of coping with pain, …
Discord From Within: Challenges Facing Catholicism In The United States And The Road Ahead, Amber Montgomery
Discord From Within: Challenges Facing Catholicism In The United States And The Road Ahead, Amber Montgomery
Say Something Theological: The Student Journal of Theological Studies
As membership in the Catholic Church continues to decline in the United States, there are less parishioners or those interested in religious life. Two contributing reasons for this include the Church’s stance on the use of contraception and the role of women within ministry. Explored here is a brief survey of these issues based on Scripture, papal documents, feminist theology, and the perspective of clergy and lay persons. These two topics are of particular interest as the United States grapples with women’s rights over their bodies and wrestle with women’s place within the Church. While the Church has taken an …
Voices Of Protest: Women Who Sing The Blues, Deborah Kaufman Giordano
Voices Of Protest: Women Who Sing The Blues, Deborah Kaufman Giordano
Say Something Theological: The Student Journal of Theological Studies
This paper explores the biblical and historical continuity of women’s voices “singing the blues” in social protest across different contexts. The blues as a musical genre spans a myriad of themes, including social protest. Black female blues songs such as Bessie Smith’s “Poor Man’s Blues” and Billie Holiday’s “Strange Fruit” were the blues songs of lament and social protest, protesting economic injustice and the brutality of lynching respectively. This paper explores how two biblical women — Hannah in “Hannah’s Song” (1 Samuel 2:1-10) and Mary in the Magnificat (Luke 1:46-55) — sang the blues of social protest. These biblical women, …
Unearthing Evidence For St. Augustine’S Racial Blackness And Paralleling Augustine’S Christian Mystical Religion To Traditional African Religion’S Mysticism, Dillon Cook
Say Something Theological: The Student Journal of Theological Studies
This article undertakes two projects rendering significant ramifications for philosophy/theology, if my assertions are correct. First, the philosopher/theologian known as St. Augustine of Hippo is most saliently recognized as a “white man”; if not a white man, “a European”; if not European, “a man of Rome”; or “Mediterranean”; etc. Outside the intellectual sphere, this is how he is often depicted in art, Penguin Classic books, and so on. Yet ironically, images of Augustine rarely circulate, if at all, as a Black-African-Indigenous person. Was Augustine nonwhite? Evidence is rendered that this is indubitably the case. Could Augustine have been modernly categorized …
Public Support For Puma Reintroduction In The Eastern United States, L. Mark Elbroch, Jazmin J. Murphy, Shelby C. Carlson, John A. Vucetich, Richard E.W. Berl, Lexi Galiardi, Shelby Perry, Tom Butler, Neil Carter, Joseph W. Hinton, Axel Moehrenschlager, Emily Carrollo, Rana Bayrakcismith, Jeremy T. Bruskotter
Public Support For Puma Reintroduction In The Eastern United States, L. Mark Elbroch, Jazmin J. Murphy, Shelby C. Carlson, John A. Vucetich, Richard E.W. Berl, Lexi Galiardi, Shelby Perry, Tom Butler, Neil Carter, Joseph W. Hinton, Axel Moehrenschlager, Emily Carrollo, Rana Bayrakcismith, Jeremy T. Bruskotter
Michigan Tech Publications
Pumas (Puma concolor) are among the species identified as having the potential to enhance ecosystem function. Previous research highlights sufficient ecological habitat to support pumas in the eastern United States; however, their reintroduction requires social and institutional support as well. To this end, we conducted research to assess attitudes about puma reintroduction among key constituencies like hunters, rural residents, and young people. We sampled 2756 respondents across seven states (Massachusetts, Maine, New Hampshire, New York, Pennsylvania, Vermont, and West Virginia). Ratios of strong support (for puma reintroduction) to strong opposition across states ranged from 4:1 to 13:1, and support outweighed …
Ai Regulation: Competition, Arbitrage & Regulatory Capture, Filippo Lancieri, Laura Edelson, Stefan Bechtold
Ai Regulation: Competition, Arbitrage & Regulatory Capture, Filippo Lancieri, Laura Edelson, Stefan Bechtold
Georgetown Law Faculty Publications and Other Works
The commercial launch of ChatGPT in November 2022 and the fast development of large language models have catapulted the regulation of artificial intelligence to the forefront of policy debates. A vast body of scholarship, white papers, and other policy analyses followed, outlining ideal regulatory regimes for AI. The European Union and other jurisdictions have moved forward by regulating AI and LLMs. One overlooked area is the political economy of these regulatory initiatives—or how countries and companies can behave strategically and use different regulatory levers to protect their interests in the international competition on how to regulate AI.
This Article helps …
Causes Of Mortality In Patients With Inborn Errors Of Immunity: An 18-Year Retrospective Cohort Study, Salem Al-Tamemi, Musab Al Jabri, Eiman Abdalla, Ibrahim Al-Busaidi, Khalfan Al-Zeedy, Laila Al Yazidi
Causes Of Mortality In Patients With Inborn Errors Of Immunity: An 18-Year Retrospective Cohort Study, Salem Al-Tamemi, Musab Al Jabri, Eiman Abdalla, Ibrahim Al-Busaidi, Khalfan Al-Zeedy, Laila Al Yazidi
Sultan Qaboos University Medical Journal
Objectives: Inborn errors of immunity (IEI) are a diverse group of disorders arising from defects in the development and/or function of the immune system. However, data concerning the microbiological aspects of infections and direct causes of mortality in patients with IEI are limited and fragmented. This study aimed to elucidate the causes of disease and terminal events leading to death in a cohort of patients with IEI. Methods: This retrospective study included deceased patients who were diagnosed with primary immunodeficiency at Sultan Qaboos University Hospital in Muscat, Oman, over an 18-year period between 2005 and 2023. Data on clinical features, …
Comparing The Mechanical Properties Of Conventional, Milled, And 3d-Printed Occlusal Splint Materials: An In Vitro Study, Sadeem Alzaghran
Comparing The Mechanical Properties Of Conventional, Milled, And 3d-Printed Occlusal Splint Materials: An In Vitro Study, Sadeem Alzaghran
Master's Theses (2009 -)
Aim: Evidence on the mechanical properties of digitally manufactured occlusal splint materials remains scarce. The aim of this study was to evaluate and compare the mechanical properties of CAD/CAM fabricated occlusal splint materials versus conventionally heat-cured acrylic resin materials. Materials and Methods: A total of 100 specimens were manufactured for the present study. One CAD-CAM milled (ProArt CAD Splint), one heat-polymerized (SR IVOcap Clear), and three 3D-Printed (KeySplint Hard, NightGuard Firm2 and RoDIN Splint 2.0) resin materials were evaluated. Flexural strength, flexural modulus and surface hardness were measured. The three-point flexure test was used for the determination of flexural strength …
Illness Severity And Marital Communication In Young Couples: The Moderating Role Of Marital Satisfaction, Jaime Lea Dick
Illness Severity And Marital Communication In Young Couples: The Moderating Role Of Marital Satisfaction, Jaime Lea Dick
Theses and Dissertations
The emergence of a chronic physical illness is unexpected in emerging adulthood and is accompanied by stress. Additionally, married partners of individuals with physical illnesses are likewise affected by the new diagnosis. Marriage outcomes of couples facing chronic illnesses together vary, being sometimes positive and sometimes negative. The current study examined the relationship between the emergence of chronic physical illness in emerging adults and marital communication of both the patient and partner, with marital satisfaction as a moderator. Gender differences are also addressed. From the Couple Relationships and Transition Experiences (CREATE) study, a nationally representative dataset of newly married emerging …
Insights From The Front Line: Uplifting Stories Of The Covid-19 Pandemic Through The Eyes Of The Public Health Workforce In Iowa, Heidi Haines, Amanda Sursely, Hanh Pham, Rylee Beltran, Daniel K. Sewell, Lina Tucker Reinders, Natoshia Askelson, Sarah Dixon, Kaitlin Emrich, Christine Estle, Michelle Lewis, Jimmy Reyes
Insights From The Front Line: Uplifting Stories Of The Covid-19 Pandemic Through The Eyes Of The Public Health Workforce In Iowa, Heidi Haines, Amanda Sursely, Hanh Pham, Rylee Beltran, Daniel K. Sewell, Lina Tucker Reinders, Natoshia Askelson, Sarah Dixon, Kaitlin Emrich, Christine Estle, Michelle Lewis, Jimmy Reyes
Faculty Publications
Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: We used an innovative mixed methods data collection tool, SenseMaker® to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured follow-up questions. We conducted descriptive analyses of the quantitative questions. A qualitative thematic and sentiment analysis was applied to all …
Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra
Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra
Mansoura Engineering Journal
With the advancement of machine learning techniques, the introduction of the most accurate model has become a necessity. In real-world scenarios, every model has some constraints and assimilates errors, so their performance is not always highly efficient; this sparked the development of ensemble learning. The ensemble approach aims to consolidate the strengths of existing approaches and minimize their weaknesses or decision-making risks. The proposed diabetes prediction system encases a resampling filter, applied to balance the dataset and model builder method, i.e., without the SBV ensemble and with the SBV ensemble method. The model is initially built without using the SBV …
Microrna Signatures In Dental Pulp Stem Cells Following Nicotine Exposure, David Vang, Leyla T. Hardin, Nabil Abid, Der Thor, Nan Xiao
Microrna Signatures In Dental Pulp Stem Cells Following Nicotine Exposure, David Vang, Leyla T. Hardin, Nabil Abid, Der Thor, Nan Xiao
Pacific Faculty Work
Background and Objectives: Nicotine is the most well-studied toxic substance in cigarette smoke and e-cigarette vape. However, smoke and vape are composed of other components that have a negative impact on health. The objective of this study is to investigate whether nicotine has a distinctive impact on molecular mechanisms in stem cells. Methods: The cellular impact of nicotine on the regenerative capacity of human dental pulp stem cells (DPSCs) and the microRNA (miRNA) profile was examined. Bioinformatic analysis was performed to identify miRNA-regulated cellular pathways associated with nicotine exposure. These pathways were then compared to those induced by cigarette smoke …
Dynamic Sparsification In Secure Gradient Aggregation For Federated Learning, Bikash Samanta
Dynamic Sparsification In Secure Gradient Aggregation For Federated Learning, Bikash Samanta
Master’s Dissertations
Secure aggregation is a critical component of privacy-preserving federated learning. However, existing fixed-sparsity approaches often incur unnecessary communication overhead. We present DynamicSecAgg, a novel framework that introduces dynamic sparsity while preserving coordinate-level privacy. Our method achieves significant improvements in communication efficiency while maintaining — and in some cases improving — model accuracy across both IID and non-IID user distributions. The framework maintains information-theoretic privacy guarantees via adaptive gradient thresholding and polynomial-based aggregation, proving particularly effective under heterogeneous data settings. These results establish dynamic sparsity as a key optimization for efficient and privacy-preserving federated learning.