Digital Commons Network^™

Adaptive Reclosing Strategy For Active Distribution Networks Considering Secondary Arc, Zhenxing Li, Xiaorong Zhang, Cong Hu, Yi Zhu, Ruofan Huang, Hanli Weng, Qiujie Wang

Journal of Electric Power Science and Technology

In view of the problem that the current adaptive reclosing scheme for active distribution networks recloses after an inherent delay upon identifying the disappearance of faults, without considering whether the accompanying arc is completely extinguished, an adaptive reclosing strategy for active distribution networks considering secondary arc was proposed. First, measurement points were set at the circuit breaker of the faulted line and the new energy outlet, and the reclosing and new energy off-grid operations were realized without interconnection communication according to the in-situ measured quantities of the two locations. Second, a secondary arc model of the distribution network was established, …

Recommendations For Conducting Ethical Network Research, Francisca Ortiz Ruiz, Paola Tubaro, José Luis Molina, Jennifer Watling Neal, Raffaele Vacca, Jana Diesner, Jimi Adams, Michelle Birkett, Jenny Godley, Juniper Lovato, Michael Schönhuth, Laura Teves, Michael Zimmer

Faculty Publications

Ethical considerations in social network studies are grounded in the general principles of human subjects’ research, including avoidance of harm, promotion of justice, equitable distribution of burdens and benefits, respect for human dignity, and protection of confidentiality. To help navigate these challenges, this article presents recommendations for conducting ethical network research, developed by a multi-disciplinary and multi-national working group. The article is divided in three main sections where there are certain recommendations identified for each one of them: data collections, use, and availability. Discovering how others addressed and solved problems can be a way for all of us to improve …

Zoom In And Zoom Out: (Re)Telling Our Cultural Literacy Practices Through Engaged Learning, Isela Almaguer

Bilingual and Literacy Studies Faculty Publications

Empowering bilingual learners to engage in the Zoom In and Zoom Out approach is a way to enrich and validate students' cultural identity and support students' linguistic and academic development while fostering rich writing opportunities for students. Teachers will discover a genuine way that empowers students to explore vocabulary, build comprehension, and acquire a love for writing. This effective multifaceted strategy approaches writing by leveraging students' cultural background and literacy practices. Students will capitalize on their funds of knowledge and use their experiences to further propel their writing efforts. By starting from within, diverse learners make stronger connections with the …

The Role Of The Student-Teacher Relationship In The Behavioral And Academic Outcomes Of Students With Emotional And Behavioral Disorders, Samantha Warren

Graduate Teacher Education

For students with or at risk of Emotional and Behavioral Disorders (EBD), achieving success in school is challenged by a continuous cycle of behavioral and academic challenges. This literature review examined the role of student-teacher relationships in influencing both behavioral and academic outcomes for this student population. This review synthesized the findings of 15 peer-reviewed, original research studies that utilized qualitative, quantitative, and mixed-methods approaches to capture behavioral metrics and participant perspectives. The studies highlighted how distinct relational dynamics served as either a primary catalyst or a significant barrier to student improvement through day-to-day classroom interactions. Targeted praise-to-reprimand ratios and …

Interference Between Speaking And Computer Tasks In Senior Adults, Tyla K. Flake

Undergraduate Honors Theses

Multitasking is common in daily life. Previous studies have often relied on contrived tasks and utterances to explore divided attention and speech. The focus of the present study was on older adults performing everyday computer tasks while speaking naturally. Thirty participants aged 55 - 82 participated in speech-only, computer-only, and simultaneous speech and computer tasks to measure dual-task interference of the two activities. The speech task consisted of 60-second speech samples based on a list of procedural discourse prompts. Three computer tasks were completed with and without concurrent speech, one requiring data-entry and sorting and a text formatting task with …

The Relationship Between Emotional Intelligence And Leadership Styles Among African American Female Law Enforcement Supervisors, Hudson Cutno, Jr.

Walden Dissertations and Doctoral Studies

No abstract provided.

Black Entrepreneurs’ Strategies For Sustainability, Barbara Davis

Walden Dissertations and Doctoral Studies

No abstract provided.

Elementary Teachers’ Experiences Providing Feedback During 1:1 Writing Conferences, Trina Gould Williams

Walden Dissertations and Doctoral Studies

No abstract provided.

Reducing Turnover At The Frontline: Hotel Leadership Strategies, Tamica Hales

Walden Dissertations and Doctoral Studies

No abstract provided.

Organizational Demands, Worker Adaptation, And The Relational Ripple Effect In Child Welfare Case Planning, Mackenzie Alexia Leach

Walden Dissertations and Doctoral Studies

No abstract provided.

Mandatory Arrest Laws: Breaking The Cycle Of Violence In Colorado And Nebraska, Ryann Lavata Livingstone

Walden Dissertations and Doctoral Studies

No abstract provided.

Telling On Themselves: A Qualitative Study On The Linguistic Markers Of Deception In High-Stakes Speech, James Butcher

Walden Dissertations and Doctoral Studies

Deception detection in forensic and legal settings has historically relied on behavioral and nonverbal cues. Extensive research has demonstrated that these indicators are unreliable and prone to bias. This reliance has a significant impact on investigations, legal outcomes, and public trust. Although linguistic research has identified individual markers of deceptive speech, limited attention has been given to how multiple linguistic cues interact in real-world, high-stakes contexts. The purpose of this qualitative study was to examine how pronoun shifts, avoidance language, and equivocation cluster together during high-stakes deceptive speech. Truth-default theory (TDT) served as the theoretical foundation, and critical discourse analysis …

Staying Safe In The Heat: What Can Be Learned From The World Cup's Hydration Breaks, Unh Communications And Public Affairs

UNH Today Archive

No abstract provided.

Managing Elderly Patients With Dementia Using Evidence-Based Non-Pharmacological Interventions In The Ed Setting, Rita Anue Cho

Walden Dissertations and Doctoral Studies

Persons with dementia frequent emergency departments (EDs), but ED staff lack understanding of cognitive impairment and evidence-base management of these symptoms, which sometimes results to unsafe encounters, aggression, agitation and assault with or without injuries. As a result, staff may resort to physical or chemical restraints to maintain safety for patients, staff, and the milieu. It is essential for staff in the ED to understand the disease process, recognize behavioral triggers, and apply evidence-based non-pharmacological interventions. The purpose of this project was to provide education to ED staff to enhance their understanding of cognitive disorders and dementia in the elderly …

Final Basinwide Quality Management Plan (Qmp) – 2026-2030, Revision 0, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Navigating Loss: Policy & Practice Within Student Affairs Support Of Bereaved Students, Jessica Renee Brown

Dissertations

This study examines how student affairs professionals interact with and support bereaved students through policy and practice. Suffering the loss of a family member or loved one while enrolled in college can have adverse effects on a student’s ability to persists through their studies and various student affairs offices and officers are charged with providing care and support to this unique population as they navigate their grief journey. While some studies exist on the prevalence of grief among students on college campuses and the effects that loss can have their academics and mental health, there is little research on how …

Extracellular Vesicle-Mediated Transfer Of Gsdme-Nt Pores As A Mechanism Of Inflammation Propagation, Bifeng Xiao

Master's Theses

Inflammasomes are multiprotein complexes that initiate inflammatory signaling through activation of caspase-1, cytokine maturation, and cleavage of Gasdermin D (GSDMD). Cleaved GSDMD forms membrane pores that contribute to cytokine release and pyroptotic cell death. Recent evidence suggests that extracellular vesicles (EVs) may facilitate the intercellular transfer of inflammatory mediators. This study investigated whether GSDMD N-terminal fragment (GSDMD-NT) associates with EV-enriched fractions and contributes to inflammation propagation. Doxycycline-inducible HeLa cells expressing FLAG-tagged GSDMD-NT were used to generate EV-enriched fractions. Western blot analysis detected GSDMD-NT-associated material within EV fractions, while EV marker analysis supported successful enrichment of EV-associated material. Exposure of recipient …

Peer-Peer Mentoring In Undergraduate Medical Education (Ume): Scoping Review Of Us-Based Medical Schools, Sakshi Sehgal, Jordon Brinkley, Andrea Kadima, Sydney Wright, Nicole Winston Ms, Pharmd, Edd

Journal of the Georgia Public Health Association

Background: Mentorship plays a formative role in undergraduate medical education (UME) From shaping professional outcomes to developing longitudinal personal relationships, various forms of mentorship can influence student progress meaningfully, particularly for students from underrepresented or marginalized backgrounds. Though faculty-student mentorship has been readily investigated, limited knowledge exists regarding peer-peer mentorship structures, particularly within UME in the American medical education model. This scoping review sought to investigate existing peer-peer mentorship models, as well as report on the need for further mentorship within this realm in UME.

Methods: This scoping review employed Arksey and O’Malley’s framework. We conducted a systematic and comprehensive …

The Role Of Social Determinants Of Health In Hydroxyurea Adherence Among Persons With Sickle Cell Disease: A Systematic Review, Doreen O. Ugwu, Lori L. Vick, Terika Williams, Aurela Nikaj, Seyi Omeh, Benjamin Becerra Dr., Tilicia Mayo-Gamble

Journal of the Georgia Public Health Association

Objective: Georgia has one of the highest prevalences of sickle cell disease (SCD). For Georgians living with SCD, inadequate medication adherence is associated with important clinical outcomes. One important area that is understudied in SCD is the impact of social determinants of health (SDoH) on medication adherence. A foundational understanding of SDoH is needed to introduce, inform and carry out programs and interventions designed to facilitate hydroxyurea adherence through the state of Georgia.

Method: We conducted a systematic literature review to synthesize the literature on SDoH addressed in studies to improve hydroxyurea adherence in persons with SCD. SDoH were based …

Design And Fpga Deployment Of Quantized Convolutional Spiking Neural Networks For Ecg Arrhythmia Classification, Olamilekan Banjo

Electronic Theses and Dissertations 2020 - Present

Wearable ECG monitors enable continuous cardiac surveillance, yet most remain limited to basic heart rate metrics or coarse atrial fibrillation detection, relying on cloud-based analysis that introduces latency, connectivity dependence, and battery drain. Deploying advanced multi-class arrhythmia classification directly on-device is constrained by the tight memory, power, and computational budgets of wearable hardware. This dissertation presents a Quantized Convolutional Spiking Neural Network (QCSNN) for real-time ECG arrhythmia detection on edge hardware, developed across three progressive phases.

Phase 1 introduces a separately trained two-stage QCSNN architecture — a binary classifier cascaded with a four-class classifier — trained directly via surrogate gradient …

Ai-Driven Detection Of Neurodevelopmental Disorder From Emotional Speech Using A Hybrid Cnn–Bilstm–Attention Framework, Nayarah Shabir, Parveen Lehana, Sheema Khan

School of Medicine Publications

Neurodevelopmental disorders (NDDs) are associated with impairments in communication, behavior, and social interaction, making accurate diagnosis clinically challenging. Autism Spectrum Disorder (ASD), a major NDD, often exhibits atypical speech patterns characterized by altered prosody and reduced emotional expressiveness. The study proposes a hybrid dual-path framework for ASD detection from emotional speech using two strategies: PCA–GMM-based acoustic modeling and a CNN–BiLSTM–Attention architecture for spectral–temporal feature learning. The proposed framework captures probabilistic, spectral, and temporal speech characteristics for robust ASD classification. Acoustic analysis demonstrated clear separability between ASD and non-ASD speech, while the deep learning framework achieved stable and reliable performance across …

Bi-Allelic Loss-Of-Function Variants In Tmem63b Cause Syndromic Surfactant Dysfunction Disorder, Sock Hoai Chan, Audra N Iness, Jill A Rosenfeld, Mir Reza Bekheirnia, Lindsay C Burrage, Matthew Hoi Kin Chau, Chaerish Eint Myet Chae Htoo, Eric C Kao, Shamika Ketkar, Wan Wan Lim, Xi Luo, Rifhan Mazlan, Elizabeth Mizerik, Kein Seong Mun, Kalyani R Patel, Lorraine Potocki, Christina K Rapp, Xavier Roca, Ana Saianda, Ignacio Iglesias-Serrano, Everlyn C Siew, Donald Yuhui Sim, David R Spielberg, Sok-Kun Tae, Jing Xian Teo, Julian Warfsmann, Fan Xia, Child-Eu Registry, Saumya S Jamuar, Ee Shien Tan, Matthias Griese, Weng Khong Lim, Meow-Keong Thong, Keren Machol

Faculty, Staff and Students Publications

Transmembrane protein 63B gene (TMEM63B) encodes a mechanosensitive ion channel expressed in alveolar type II epithelial cells, where it mediates stretch-induced surfactant secretion. While heterozygous gain-of-function variants in TMEM63B have been associated with developmental and epileptic encephalopathy, no human disorder has previously been linked to bi-allelic loss-of-function variants. Here, we report five individuals from four unrelated families with childhood interstitial lung disease and bi-allelic predicted loss-of-function variants in TMEM63B. Affected individuals presented with early-onset respiratory distress, chronic hypoxemia, and diffuse parenchymal lung abnormalities on chest imaging. One individual died in infancy, two underwent bilateral lung transplantation, and two require oxygen …

Method For Trust-Aware And Language Model–Driven Email Threat Detection And Mitigation, Niranjan M M

Defensive Publications Series

Email remains the primary communication channel for enterprises and continues to be the most exploited attack vector for cyber threats. Modern email attacks increasingly rely on impersonation, social engineering, and contextual manipulation rather than traditional malware or malicious links, allowing them to evade existing detection mechanisms. At the same time, email security systems are adopting large language models (LLMs) to improve intent detection and contextual analysis, introducing new risks where email content itself can manipulate or degrade automated reasoning.

The proposal introduces a secure, trust-aware, and LLM-safe framework for automated email threat detection and remediation. The proposed system integrates sender …

Primitive For Finding Actionable Information In Time Series Based On Motif Locations, Michael Yeh, Yan Zheng, Junpeng Wang

Defensive Publications Series

The present disclosure relates to a system and method for finding actionable information in time series based on motif locations. The method includes an analysis computer that obtains time series data. The analysis computer generates a plurality of motifs. For each motif of the plurality of motifs, the analysis computer determines identified locations in the time series data that match the motif and determines a plurality of motif type scores based on the identified locations of the motif. The analysis computer determines a selected motif of the plurality of motifs based on the plurality of motif type scores for each …

Method, System, And Computer Program Product For Online Account Recovery, Elisa Duarte

Defensive Publications Series

Methods, systems, and computer program products are provided for online account recovery. An example method includes: receiving an account recovery request associated with a user account a user is unable to access, the account recovery request including identity data and payment device data, the payment device data obtained via short range wireless communication in response to the user arranging the payment device relative to a computing device; in response to receiving the account recovery request, authenticating the chip based on a cryptogram; in response to authenticating the chip, inputting a payment device identifier and the identity data into a model …

Optimally Scaled Low-Rank Adaptation For Efficient High-Rank Fine-Tuning, Yilang Zhang, Xiaodong Yang, Yiwei Cai

Defensive Publications Series

A method can be performed during a round of iteration during a loss function optimization process. The method can include a computer obtaining a first matrix and a second matrix. The computer can determine a selected scaling process from a first scaling process and a second scaling process. The computer can modify the first matrix and the second matrix using the selected scaling process to obtain a first modified matrix and a second modified matrix. The computer can determine a first moment and a second moment based on the first modified matrix and the second modified matrix. The computer can …

Autonomous Mobile Robot For Transferring Planar Workpieces Between Processing Stations Using An Orientation-Holding Con­Veyor Stage And A Self-Locking Kinematic Dock, Alexander Willer

Defensive Publications Series

An autonomous mobile robot (AGV / AMR) transfers a planar workpiece — for example a printed circuit board — between processing stations by carrying a transfer-conveyor segment on a powered stage that holds the segment’s orientation independently of the robot’s heading. This lets a minimal-footprint, non-holonomic robot present the conveyor to a station port facing any direction, in confined space, without sweeping the segment through its diagonal. At each station a docking interface is provided that separates location from clamping: passive kinematic features (a fully-locating feature plus a relieved one, optionally tapered) locate the segment, while one or more self- …

Predictive Doppler Frequency Pre-Compensation For Non-Terrestrial Network Handovers, Edison Chen, Xuqiang Zhang

Defensive Publications Series

In non-terrestrial networks, for example, networks that use low-earth-orbit satellites, handovers between satellites may be subject to latency due to significant Doppler frequency shifts for the target satellite. This disclosure describes a predictive method for Doppler pre-compensation that may be centered at a user equipment (UE) (e.g., a smartphone, tablet, or vehicle-mounted terminal). The technique may involve the UE recording the magnitude of a frequency compensation value from its connection with a source satellite. For an initial uplink transmission to a target satellite, the UE may then apply a predictive pre-compensation value, which could be derived by inverting the polarity …

System For Converting Predictive Insights Into Executable Tasks Using Retrieval-Augmented Generation, N/A

Defensive Publications Series

Predictive analytics tools are highly effective at identifying organizational risks, such as potential employee turnover, but they often fall short in providing managers with clear steps to resolve these issues. To bridge this gap, the described technology functions as an intelligent intermediary layer that translates high level statistical risk drivers into concrete, multi-step intervention strategies.  When a predictive engine detects a risk, the system uses a retrieval augmented generation framework to pull relevant contextual information from an internal knowledge base, which can include organizational playbooks and historical success records. This specific context is then fed into a generative large language …

System For Context-Aware Data Redaction Using Instruction-Constrained Generative Ai, N/A

Defensive Publications Series

Data redaction techniques, such as manual review or simple pattern-matching, may present challenges related to speed, potential for errors, and contextual understanding for identifying sensitive information. The described system and method may be used for a context-aware redaction process that uses a generative artificial intelligence (AI) model. Source text can be encapsulated within a detailed instructional prompt that guides the AI model's function toward identifying and substituting sensitive data. This process can be managed by an orchestration layer that is configured to interact with an AI inference engine, for example, under a zero-retention policy. By replacing identified data with semantic …