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Articles 54331 - 54360 of 1517251
Full-Text Articles in Entire DC Network
Augmenting Photo Reminiscing Experiences With Llm-Generated Narrations, Ji Hun Kim, Abdulrahman Khan, Tommy Meaney, Tim Zhu, Zhou Zhou
Augmenting Photo Reminiscing Experiences With Llm-Generated Narrations, Ji Hun Kim, Abdulrahman Khan, Tommy Meaney, Tim Zhu, Zhou Zhou
Defensive Publications Series
This disclosure describes techniques that leverage a large language model (LLM) to generate custom narrations when arranging sets of photos in the form of a visual experience for users to reminisce on thereby personalizing and adding depth to the reminiscing experience. Per the techniques, a set of photos from a user’s photo library to be featured in a visual experience is identified. Photo pixels, metadata, and other relevant data are used to populate a prompt that is to an LLM. The response from the LLM is parsed and associated with photos to be featured in the visual experience. The LLM-generated …
User Intent-Conditioned Image Captioning Using Llm For Generating Personalized Photo Descriptions, D Shin
User Intent-Conditioned Image Captioning Using Llm For Generating Personalized Photo Descriptions, D Shin
Defensive Publications Series
Image captioning models can receive an image as input and generate captions that describe objects, scenes, and other visual aspects in the image. However, such models are not personalized to a user and lack the ability to generate captions that are tailored to specific user intent or contexts. This disclosure describes techniques to generate personalized image captions using a large language model (LLM). With user permission, user intent data such as context, preferences, notes, or tags from users (e.g., that are stored in association with user images) are used as input to a LLM to refine image captions generated by …
Sensemaking Opportunities For Students Experiencing Difficulty: A Mixed Methods Study, Rachel Juergensen, Delinda Van Garderen
Sensemaking Opportunities For Students Experiencing Difficulty: A Mixed Methods Study, Rachel Juergensen, Delinda Van Garderen
Journal of Science Education for Students with Disabilities
All students deserve to be engaged in high-quality science instruction that moves beyond memorization and recall of facts and offers opportunities for sensemaking. Science achievement is alarmingly low signifying there is a large percentage of students experiencing difficulty in science. The low science achievement may be symptomatic of gaps in opportunities for sensemaking within the science classroom. Using an explanatory sequential mixed methods design, the current study explored the relationship between middle school science teacher beliefs and opportunities students experiencing difficulty in science had to participate in sensemaking discussions. Integrated findings from the study suggest that teachers’ beliefs influenced the …
System And Method For Thermochromic Indicator Payment Card, Mohit Koul, Rohit Mukherjee
System And Method For Thermochromic Indicator Payment Card, Mohit Koul, Rohit Mukherjee
Defensive Publications Series
The present disclosure related to a system and method for thermochromic indicator payment card. The system and method more specifically implements thermochromic technique. The payment card is embedded with thermochromic material that can change colour in response to temperature fluctuation, providing a passive and dynamic visual indicator for transaction verification and security alerts. Further, the present disclosure enables real time transaction awareness and fraud detection without relying on electronic alerts and external power sources.
Establishing A Debug Channel Using Conductive Components Of An Electronic Device To Create Switchable Communication Paths, Averill Chang, Zoro Chang
Establishing A Debug Channel Using Conductive Components Of An Electronic Device To Create Switchable Communication Paths, Averill Chang, Zoro Chang
Defensive Publications Series
This disclosure describes a technique for establishing a debug channel over a wired connection by repurposing hardware components of an electronic device to create switchable communication paths for data transfer. In particular, internal debug signals can be selectively routed to non-dedicated external hardware contacts, for example, by using switching mechanisms. This approach may provide a stable and reliable debugging channel, potentially reducing the need for dedicated, corrosion-prone debug pins and mitigating certain performance and cost considerations associated with some wireless communication techniques.
A System For Recommending Advertising Campaign Settings Based On Performance Data Analysis, Ankit Aggarwal
A System For Recommending Advertising Campaign Settings Based On Performance Data Analysis, Ankit Aggarwal
Defensive Publications Series
Advertisers may experience difficulty in defining effective targeting and configuration settings for digital promotional campaigns, which can result in performance that does not meet certain goals for scale and return on investment (ROI). A system can utilize an artificial intelligence agent to analyze historical campaign data. The system may correlate past campaign configuration changes, such as adjustments to bids, budgets, and targeting criteria, with corresponding performance metrics including, for example, impressions, redemptions, and cost-per-action. Based on this correlation analysis, the system can formulate tailored recommendations for campaign settings to help meet specific advertiser goals. This process can contribute to improved …
Optimized Hybrid Watermarking: Dual-Scheme Strategies For Enhanced Robustness, Ooi Jessie, Liew Siau Chuin, Syifak Izhar Bt Hisham, Khor Hui Liang, Khoo Bee Ee, Jasni Mohamad Zain
Optimized Hybrid Watermarking: Dual-Scheme Strategies For Enhanced Robustness, Ooi Jessie, Liew Siau Chuin, Syifak Izhar Bt Hisham, Khor Hui Liang, Khoo Bee Ee, Jasni Mohamad Zain
Iraqi Journal for Computer Science and Mathematics
Digital watermarking is crucial in content identification and copyright protection, particularly multimedia and medical imaging. This paper introduces two novel hybrid watermarking methods, Entropy-Guided Singular Embedding (EGSE) and Entropy-Guided Hybrid Embedding (EGHE), that improve upon existing techniques by integrating entropy-based adaptive block selection with Particle Swarm Optimization (PSO) for dynamic embedding strength determination. Unlike traditional methods, which rely on fixed embedding regions or manual parameter tuning, the proposed approaches automatically identify high-entropy regions to embed watermark signals, ensuring stronger resistance to distortion while maintaining image quality. EGSE employs Integer Wavelet Transform (IWT) and Singular Value Decomposition (SVD), whereas EGHE enhances …
Retracted: Efficient Multi-User Computation Offloading And Reducing Latency In Mobile-Edge Computing For Iot Applications, Sarmad T. Abdul-Samad, Osamah Al-Hwaidi, Ali Abd Al-Rasool Muslem
Retracted: Efficient Multi-User Computation Offloading And Reducing Latency In Mobile-Edge Computing For Iot Applications, Sarmad T. Abdul-Samad, Osamah Al-Hwaidi, Ali Abd Al-Rasool Muslem
Iraqi Journal for Computer Science and Mathematics
Mobile Edge Computing (MEC) is an inventive paradigm for computing that has the potential to notably diminish latency and energy consumption by transferring computationally demanding jobs to edge clouds near intelligent mobile users. This investigation aims to reduce offloading and latency between multiple users and edge computing in the context of Internet of Things (IoT) applications in the fifth generation (5G) by utilizing an optimization algorithm called the Bald Eagle Search Optimization Algorithm. Although employing deep learning methods might increase time consumption and computational complexity, an edge computing system enables devices to transfer their demanding jobs to edge servers, decreasing …
Retracted: Iot Flow Parameters Classification Based On Machine Learning Techniques, El-Sayed M. El-Kenawy, Marwa M. Eid, Ban Salman Shukur, Amel Ali Alhussan, Doaa Sami Khafaga
Retracted: Iot Flow Parameters Classification Based On Machine Learning Techniques, El-Sayed M. El-Kenawy, Marwa M. Eid, Ban Salman Shukur, Amel Ali Alhussan, Doaa Sami Khafaga
Iraqi Journal for Computer Science and Mathematics
In recent years, there has been a highly remarkable convergence of artificial intelligence (AI) and the Internet of Things (IoT), which has made rapid progress in smart city initiatives by developing smart devices for such cities. Since these devices are increasingly diversified, they require a resilient communication network to demonstrate high performance in managing consistent traffic flows. A machine learning model intended for identifying network parameters from diverse devices, in addition to proposing modifications meant for network performance enhancement, is developed in this study. In relation to packet data as a network traffic parameter, employing gateway devices can facilitate its …
Retracted: Metaguard: A Federated Learning Approach To Hybrid Xgboost And Meta-Learning Models For Proactive Cyber Threat Hunting, Shatha H. Jafer Al-Khalisy, Ghada Al-Kateb
Retracted: Metaguard: A Federated Learning Approach To Hybrid Xgboost And Meta-Learning Models For Proactive Cyber Threat Hunting, Shatha H. Jafer Al-Khalisy, Ghada Al-Kateb
Iraqi Journal for Computer Science and Mathematics
In an increasingly interconnected world, cybersecurity threats have become more sophisticated, necessitating advanced, scalable, and privacy-preserving solutions. MetaGuard emerges as a novel framework that integrates federated learning with hybrid machine learning models, specifically XGBoost and meta-learning, to enhance proactive cyber threat detection. This framework offers a robust, distributed approach to cybersecurity, ensuring high detection accuracy while preserving user privacy through the implementation of differential privacy and homomorphic encryption. MetaGuard leverages distributed nodes to collaboratively train a global model, enabling rapid adaptation to new threats without the need for centralized data aggregation. Experimental evaluations using the CYBER-2024 dataset demonstrate that MetaGuard …
Unheard And Underserved: The Role Of Narratives And Shared Experiences Of Systemic Racism In The Black Community’S Engagement With Mental Health Services, Essence Jones
Master of Arts in Human Services
This research examines the intersection of systemic racism and mental healthcare in the Black community, focusing on the reluctance to engage with mainstream services. Grounded in historical analysis, the study traces how slavery, segregation, and discriminatory policies have shaped enduring mistrust toward mental health systems. Despite progress in health equity initiatives, cultural insensitivity, underrepresentation of Black providers, and ongoing structural barriers persist. Drawing from peer-reviewed literature, the work explores narratives and collective memories that influence perceptions of care, including the role of faith-based coping, stigma, and alternative healing practices. Special attention is given to the compounded effects of intersectional identities …
Ineffective Parenting, Alexis Rian
Ineffective Parenting, Alexis Rian
Master of Arts in Human Services
Ineffective parenting can lead to long-term, severe, and lasting consequences for children. Children depend heavily on their primary caregivers for safety and to have their basic needs met. However, not all parents demonstrate positive parenting styles, whether due to a lack of knowledge, limited capacity, or simply a lack of interest. Parenting styles fall into four categories: authoritarian, authoritative, permissive, and uninvolved. The type of parenting style a caregiver adopts can significantly influence the attachment style a child has with them. Four attachment styles that children have are insecure avoidant attachment, secure attachment, insecure resistant attachment, and disorganized attachment. Children …
Not In My Neighborhood! The Harsh Realities Of Sex Offender Registration Laws, Kyle B. Rossow
Not In My Neighborhood! The Harsh Realities Of Sex Offender Registration Laws, Kyle B. Rossow
Master of Arts in Human Services
Sex offender registration laws were created in response to public fear and high-profile tragedies, with the primary goal of enhancing public safety through stringent monitoring of sexual offenders. This paper explores the historical development of these laws, including high-profile cases that later influenced legislative acts, such as the tragic incidents of Jacob Wetterling, Megan Kanka, and Adam Walsh. This paper also explores how media portrayals and public opinion factor into these legislative decisions. While the laws aim to protect the public, they often result in collateral consequences for individuals who have to register. Sex offenders are often held back by …
A Religious Etiology Of Genito-Pelvic Pain And Pain With Penetration, Emily L. Carlson
A Religious Etiology Of Genito-Pelvic Pain And Pain With Penetration, Emily L. Carlson
Theses and Graduate Projects
Pelvic pain during penetration (PPDP) has been described using various diagnostic terms, including vaginismus, dyspareunia, and vulvodynia. The most recent and comprehensive classification is Genito-pelvic pain/penetration disorder (GPPPD) which is characterized by psychological distress associated with pain during or in anticipation of vaginal penetration (DSM-5-TR; American Psychiatric Association [APA], 2022). The etiology of PPDP is multifactorial, involving a complex interplay of biological, psychological, and relational factors. Religious and cultural influences may play a significant role in shaping individuals’ experiences of sexual pain. This study investigated the etiology of PPDP in relation to the religious influences among women raised in Judeo-Christian …
Improving Student Success In 2nd Degree Bsn Students, Sharon Radzyminski, Eloisa G. Tamez, Jennifer Brewster, Leslie Kimberling Jones
Improving Student Success In 2nd Degree Bsn Students, Sharon Radzyminski, Eloisa G. Tamez, Jennifer Brewster, Leslie Kimberling Jones
School of Nursing Faculty Publications
Second Degree Bachelor of Science in Nursing (BSN) programs are designed to leverage a student’s prior academic achievements and professional experience, integrating them into the curriculum for their nursing degree. This allows students to receive credit for previous core courses and move through the nursing program at an accelerated rate. This, however, brings special challenges for both students and faculty. At our university we noticed the attrition rate of students in the second-degree BSN program was significantly higher than the traditional BSN program. Investigation into this issue revealed students in the Second-Degree Program had significant issues with role conflict, poor …
State Government Policies And Opioid Overdoses And Deaths, William Jerome Howard
State Government Policies And Opioid Overdoses And Deaths, William Jerome Howard
Walden Dissertations and Doctoral Studies
In the United States, opioid deaths posed a significant public health crisis with profound social and economic implications. The opioid crisis continued despite the implementation of state-level prescription drug monitoring programs (PDMP), naloxone access laws (NALs), and Medicaid expansion programs. Existing research demonstrated opioid deaths and nonfatal overdose patterns highlight the need for targeted harm reduction strategies, but there remained a lack of quantitative studies that addressed the effectiveness of opioid harm reduction policies. The purpose of this quasi-experimental quantitative research was to evaluate the relationship between state-level PDMPs, NALs, Medicaid expansion programs, and the COVID-19 global pandemic period (2020-2023), …
University Welcomes New Chief Information Officer, Marisa C. Atkinson
University Welcomes New Chief Information Officer, Marisa C. Atkinson
University of Mississippi News
OXFORD, Miss. – The University of Mississippi has named Victoria Farnsworth as its new chief information officer. She joined the Ole Miss leadership team Monday (Aug. 18).
Research On Joint Simulation Of Special Vehicle Engine Operation Characteristics Based On Virtual Driving Scenarios, Xueyuan Xie, Chen Lin, Han Wu, Qinglan Zhao, Junfei Gao, Qiangguo Hao, Xinqian Zheng
Research On Joint Simulation Of Special Vehicle Engine Operation Characteristics Based On Virtual Driving Scenarios, Xueyuan Xie, Chen Lin, Han Wu, Qinglan Zhao, Junfei Gao, Qiangguo Hao, Xinqian Zheng
Journal of System Simulation
Abstract: The preliminary design of the overall operation performance of diesel engines cannot be guided by actual vehicle driving tests, which hinders the improvement of the power development level and efficiency of special vehicles. By using the virtual visual simulation engine Unity3D, two virtual driving scenario models were established: a flat road scenario and an undulating road scenario. Based on the speed characteristic parameters of the engine, a diesel engine's operation performance output model was constructed. Combined with the transmission system model and the longitudinal dynamics model of the vehicle's center of mass, a straight vehicle driving dynamics model was …
August 20, 2025 Blazer Weekly, University Of Alabama At Birmingham
August 20, 2025 Blazer Weekly, University Of Alabama At Birmingham
Blazer Weekly (student newsletter)
No abstract provided.
Boilermaker Blacksmith National Pension Trust V. Maiden Holdings Ltd
Boilermaker Blacksmith National Pension Trust V. Maiden Holdings Ltd
2025 Decisions
USDC for the District of New Jersey
Effects Of Summer School Attendance On The Assessed Reading Proficiency Of Third Grade Students, Lydia Evers
Effects Of Summer School Attendance On The Assessed Reading Proficiency Of Third Grade Students, Lydia Evers
Walden Dissertations and Doctoral Studies
Evidence shows students who are not reading proficiently by the end of third grade are more likely to eventually drop out of high school or be considered illiterate as adults, making it challenging to function adequately in society. The problem addressed through this study was that as many as 60% of U.S. third-grade students scored below proficiency on annual standardized reading assessments. Guided by faucet theory by Alexander et al., the purpose of this causal-comparative quantitative study was to compare reading standardized test scores of third-grade students who participated in a summer school program (SSP) in the summer following second …
Current Mechanobiological Pathways And Therapies Driving Spinal Health, Rahul Kumar, Kyle Sporn, Harlene Kaur, Akshay Khanna, Phani Paladugu, Nasif Zaman, Alireza Tavakkoli
Current Mechanobiological Pathways And Therapies Driving Spinal Health, Rahul Kumar, Kyle Sporn, Harlene Kaur, Akshay Khanna, Phani Paladugu, Nasif Zaman, Alireza Tavakkoli
SKMC Student Presentations and Publications
Spinal health depends on the dynamic interplay between mechanical forces, biochemical signaling, and cellular behavior. This review explores how key molecular pathways, including integrin, yeas-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ), Piezo, and Wingless/Integrated (Wnt) with β-catenin, actively shape the structural and functional integrity of spinal tissues. These signaling mechanisms respond to physical cues and interact with inflammatory mediators such as interleukin-1 beta (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor alpha (TNF-α), driving changes that lead to disc degeneration, vertebral fractures, spinal cord injury, and ligament failure. New research is emerging that shows scaffold designs that can …
Dominant Mid-To-High-Frequency Harmonics Predict Neural Encoding And Perception Of Concurrent Vowels With Large F0 Differences, Fan-Yin Cheng, Sarah Medina, Olaedochim Obinna, Spencer Smith
Dominant Mid-To-High-Frequency Harmonics Predict Neural Encoding And Perception Of Concurrent Vowels With Large F0 Differences, Fan-Yin Cheng, Sarah Medina, Olaedochim Obinna, Spencer Smith
Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works
Concurrent vowel perception experiments have revealed the importance of fundamental frequency (f0) differences in speech stream segregation. Understanding neural processes that support speech streaming using f0 differences remains an active area of perceptual and neurocomputational modeling research. This study simultaneously measured subcortical neural encoding [frequency following responses (FFRs)] and cued vowel identification accuracy of 12 concurrent vowel mixtures with large f0 differences (>8 semitones) to assess whether f0-based neural channel selection predicted perception. Results indicated that the strength of f0-based neural channel selection for one vowel often depended on the …
Meeting Minutes 08-20-2025, Staff Advisory Council
Meeting Minutes 08-20-2025, Staff Advisory Council
Staff Advisory Council Meeting Documents
No abstract provided.
Travel Professionals’ Successful Strategies For Implementing New Products, Mary Ashley Switzer
Travel Professionals’ Successful Strategies For Implementing New Products, Mary Ashley Switzer
Walden Dissertations and Doctoral Studies
The rapid introduction of new and innovative travel products presents challenges for travel industry professionals striving to stay competitive in a dynamic marketplace. This is a significant concern for travel professionals and industry leaders, as effectively implementing strategies can improve client satisfaction and support sustained business growth. The purpose of this qualitative pragmatic inquiry study was to explore the strategies used by travel industry professionals to successfully implement new, innovative tourism products to gain a competitive advantage. Grounded by the Red Queen effect competitive advantage model, six U.S.-based travel professionals with 5 years of experience and at least $1 million …
August 20, 2025, Faculty, Illinois Wesleyan University
August 20, 2025, Faculty, Illinois Wesleyan University
2025-2026
No abstract provided.
Tmco1 As An Endoplasmic Reticulum Calcium Load-Activated Channel: Mechanisms And Disease Implications, Jingbo Wang, Panpan Zhu, Zhuohang Li, Xiaohui Su, Mingzhu Qi, Aimin Zhou, Xiangying Kong
Tmco1 As An Endoplasmic Reticulum Calcium Load-Activated Channel: Mechanisms And Disease Implications, Jingbo Wang, Panpan Zhu, Zhuohang Li, Xiaohui Su, Mingzhu Qi, Aimin Zhou, Xiangying Kong
Chemistry Faculty Publications
Calcium ions (Ca2+) play a vital role in many biological processes. Transmembrane and coiled-coil domain 1 (TMCO1) has been characterized as an endoplasmic reticulum (ER) transmembrane protein in recent years. It keeps the cytoplasm and ER's Ca2+ homeostasis stable by acting as a novel calcium channel. Studies from different laboratories have revealed that the mutation or deficiency of TMCO1 is closely correlated with several diseases, including cerebro-facio-thoracic dysplasia (CFTD), glaucoma, premature ovarian failure (POF), osteoporosis, and cancer. Here, we review the characteristics of TMCO1 and its involvement in related diseases, which may provide useful information for developing therapeutic strategies for …
Capturing Magic: Recording Emily Lubitz’S Two Black Horses At Mix Artist Studio – A Reflective Case Study In Contemporary Recording Practice, Jan Muths
Staff Scholarship - Australia & Dubai
This paper reflects on the recording of Emily Lubitz’s album Two Black Horses at Mix Artist Studio in early 2024. It outlines how I applied my core engineering values, technical precision, sensitivity to the musicians’ needs, and anticipatory readiness, to capture the energy of a live band with high acoustic separation. Beyond the technical aspects, it demonstrates how ongoing studio practice directly informs and enhances my teaching, keeping lessons current and relevant. The aim is to connect industry experience with teaching practice, showing how staying active in the field strengthens classroom delivery.
The Impact Of Digital Sexual Health Education Using Social Media On African American Undergraduate Students, Valora Reid Bishop
The Impact Of Digital Sexual Health Education Using Social Media On African American Undergraduate Students, Valora Reid Bishop
Walden Dissertations and Doctoral Studies
Despite making up approximately 12% of the United States’ population in 2020, African Americans ages 15 to 24 years old comprised 32% of the reported sexually transmitted diseases. The purpose of this quantitative research was to examine the impact of digital sexual health education (SHE) information on sexual health behaviors among African American undergraduate college students aged 18 to 24 years. The two research questions explored if the use of digital SHE information reduced the risk of adverse sexual health behaviors among African American undergraduate college student ages 18 to 24 years old; and if there was a relationship between …