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Therepairer_Vol6no12_Dec1901

The Repairer

No abstract provided.

Therepairer_Vol3no8_Aug1898

The Repairer

No abstract provided.

Therepairer_Vol6no2_Feb1901

The Repairer

No abstract provided.

Therepairer_Vol5no2_Feb1900

The Repairer

No abstract provided.

From Automation To Innovation: The Transformative Impact Of Ai On Business Functions In India, Ritika Sharma, Ashwarya Kapoor

Management Dynamics

Background: Artificial Intelligence (AI) is revolutionizing business operations by driving innovation, streamlining processes, and enhancing decision-making. Its growing adoption across industries signifies a paradigm shift from traditional business models to intelligent, data-driven systems.

Objective: The study aims to examine how AI influences modern business functions, with a particular focus on marketing practices within the Indian context.

Methods: A qualitative research approach was employed using semi-structured interviews with ten Indian marketing professionals. The insights gathered were analyzed to identify emerging themes related to AI adoption, benefits, and challenges.

Results: Findings reveal that AI significantly enhances operational efficiency by automating repetitive tasks, …

Pith: A Governed Cognitive Architecture For Persistent Ai Memory, Andrew Estey-Ang

Defensive Publications Series

We present Pith, a cognitive architecture that provides persistent, governed memory for large language model (LLM) agents. Unlike stateless retrieval-augmented generation (RAG) systems or simple key-value memory stores, Pith implements a multi-layered governance stack that manages the full lifecycle of learned knowledge: acquisition, belief state management, temporal decay, contradiction detection, authority scoring, and cross-session coherence. We describe the architecture's core components — a five-state belief lifecycle, four-tier feedback system, knowledge area segmentation, and a novel behavioral benchmark (CogGov-Bench) for evaluating governance effectiveness. Deployed in production with 4,874 concepts across 3,043 sessions, Pith achieves a CogGov-Bench composite score of 69.0/100 with …

Decoupling Stylistic And Factual Context In Llms To Mitigate Conversational Tone Inertia, Viraj Doshi

Defensive Publications Series

Large language models (LLMs) engaged in extended dialogues may exhibit "tone inertia," where a model's style can become fixed and may not adapt when a conversational topic shifts, potentially leading to contextually inappropriate responses. A system can manage this behavior by algorithmically decoupling conversational context into components, such as a factual context for semantic knowledge and a stylistic context for tone and stylistic profile. A domain shift detection module can identify shifts in the conversation based on mathematical/vector detection, which may trigger a reset of the stylistic context while the factual context is preserved. This process can allow dynamic adaptation …

Transaction-Outcome Driven Adaptive Logging, Chao Feng, Kelu Zhang, Wenliang Li, Peng Xu, Xiangjun Meng

Defensive Publications Series

Presented herein is a system, referred to as Transaction-Outcome Driven Adaptive Logging (TODAL), that is an innovative system that resolves the critical trade-off between comprehensive diagnostic logging and operational efficiency on complex network devices. It achieves this by capturing all log data at the highest verbosity into an internal buffer, then intelligently processing and outputting only key summary information for successful operations, while providing full detailed logs exclusively for failed transactions. This approach not only ensures comprehensive troubleshooting data is always available when needed, but also significantly reduces system resource consumption and extends the effective retention period of relevant logs.

Adaptive Behavioural Session Control For Shared Printers Using Machine Learning–Based Threat Analytics, Hp Inc

Defensive Publications Series

The present disclosure relates to device security for shared peripherals, particularly enterprise printers and multifunction devices (MFDs). More specifically, it pertains to adaptive session management, user authentication, and AI-driven threat analytics using behavioral modelling and job accounting data.

Enhancing Introductory Cybersecurity Learning: A Design-Based Research Case Study, Manny Niri Dr.

Journal of Cybersecurity Education, Research and Practice

This study employs a design-based research (DBR) framework to examine the impact of a comprehensive curriculum redesign in an introductory Foundations of Security module for undergraduate students in computing and cybersecurity at a UK public university between 2019 and 2025. The redesign aimed to enhance student learning, engagement, and critical thinking through the embodiment of evidence-based pedagogical strategies, including flipped classroom delivery, blended learning, gamified practical exercises, repeated low-stakes mock assessments, and structured problem-solving activities. Student feedback, assessment outcomes, attendance records, and faculty reflections were analysed to evaluate the effectiveness of the redesign. The results indicate substantial improvements in student …

Electronic Trap-State Modulation In Sm-Doped Sno Nanofibers Enables Ultrasensitive Hydrogen Sensing, Asky Fungura, Shan Hu, Shuang Gu, Yixin Liu

Michigan Tech Publications

The demand for sub-ppm hydrogen (H) sensing is growing across emerging applications such as environmental monitoring, breath-based disease diagnostics, and early-stage battery failure detection. However, achieving reliable ppb-level detection with chemiresistive metal oxide sensors remains challenging. At trace gas concentrations, resistance modulation is often insufficient, particularly in the absence of noble metal catalysts. Here, we report samarium-doped tin dioxide (Sm-SnO) nanofibers in which electronic trap-state modulation is exploited to enable ultrasensitive hydrogen sensing. The 2 at% Sm-doped SnO nanofibers exhibited markedly enhanced H sensitivity, achieving clear detection down to 25 ppb H at 200 °C, with a theoretical limit of …

Ai Adoption In Research Administration At Emerging Research Institutions, Dylan Ruediger, Ruby Macdougall, Stefanie Brachfield, Douglas R. Dechow, Jonathan Parker, Jana Remy

Library Articles and Research

"With funding from the National Science Foundation’s GRANTED program (grant #2437518), Ithaka S+R, Chapman University, and Montclair State University organized two workshops to help research administrators consider how to leverage AI to build research capacity at ERIs. Our first workshop, held at Montclair State in September 2025, brought together 31 participants from 13 academic and medical institutions in the New York/New Jersey/Pennsylvania region. Our second workshop, hosted by Chapman University on December 5, 2025, included 32 participants from 13 colleges and universities in Southern California. The approximately 2,600 ERIs in the United States receive a disproportionately small amount of federal …

The Role Of Emerin In Myogenic Differentiation, Nicholas Marano

Theses and Dissertations

The nucleus harbors genetic material encapsulated by the nuclear envelope which is composed of an inner and outer nuclear membrane. The establishment and organization of chromatin at the INM is essential for cell fate during the differentiation program. Integral INM proteins are responsible for chromatin organization at the nuclear envelope. Emerin is a highly conserved type II integral INM protein with roles in chromatin organization, cell signaling, and nuclear structure. Mutations in the emerin gene cause Emery Dreifuss Muscular Dystrophy 1 (EDMD1). Emerin is ubiquitously expressed, but loss of emerin function affects specifically skeletal muscle and cardiac tissue. The precise …

How Losing My Phone Saved My Life

Emerging Writers

The author describes their journey through a mental health episode, choosing treatment, and concluding a stay at a health support facility. Please note that the author has chosen to publish under a pen name to protect their privacy.

AiXGa1−XN (0.7 < X < 1) Schottky Diodes Using Distributed Polarization Doped Layer With A Current Density Of 14 Ka/Cm2, Tariq Jamil, Abdullah Al Mamun Mazumder, Mafruda Rahman, Muhammad Ali, Grigory Simin, M. Asif Khan

Faculty Publications

High Al-content Al_xGa_1-xN (0.7 < x < 1) quasi-vertical Schottky barrier diodes (SBDs) with distributed polarization doping were grown on the bulk AlN substrate. They exhibit excellent rectification behavior with a large forward current density (~14 kA/cm² ) and a high breakdown field of ~8.3 MV/cm. The SBDs also exhibited low ideality factors of (n~1.2) with a high Schottky barrier height (Φ _b~ 1.7 eV). Thus, this study demonstrates the feasibility of the distributed polarization doping approach for high current–high voltage devices.

Starting The Engine, Rowan Rodgers

Emerging Writers

This is a nonfiction narrative about how the author gained and grew their motivation for fine arts and education. The piece discusses early obstacles in school and how the author eventually overcame them with newfound skills and supporters.

Cocreando Una Experiencia Vivencial Con El Robot Sarita, Neil Andrés Jiménez Pinzón, Édgar Eduardo Roa Guerrero, Jenni Katerine Ramírez Caviedes, Miguel Ángel Ballén Sierra

Ingeniería

El libro CoCreando en una experiencia vivencial con el robot SARITA – Nivel básico se presenta como un microprograma de robótica educativa, resultado de un proyecto de investigación, en colaboración con el semillero del Programa de Ingeniería Electrónica de la Universidad de Cundinamarca, sede Fusagasugá, en el que se integra la ciencia, la creatividad y el aprendizaje significativo en una experiencia educativa innovadora.

Más allá de aprender a programar o ensamblar un robot, los jóvenes desarrollan habilidades para trabajar en equipo, resolver problemas y pensar de manera lógica y creativa. La robótica educativa no se limita a enseñar sobre tecnología. …

Exploring The Strategies Used By Caribbean Business Leaders To Adopt Artificial Intelligence To Improve Business Performance And Decision-Making, Hazarie Ramoutar

Walden Dissertations and Doctoral Studies

A lack of effective strategies for adopting generative artificial intelligence (GenAI) limits business leaders in the Caribbean’s ability to enhance business performance and decision-making. Business executives, shareholders, employees, and policymakers are vested in the success of Caribbean businesses to remain competitive and become more efficient. Grounded in the technology acceptance model (TAM), the purpose of this qualitative, pragmatic inquiry project was to identify and explore the strategies Caribbean business leaders use to successfully adopt GenAI, thereby enhancing business performance and decision-making. The participants were seven business leaders from for-profit organizations in the English-speaking Caribbean. Data were collected using semistructured interview-based …

The Experiences Of Faith-Based Non-Profit Human Services Professionals In The Implementation Of Parental Resources For Homeless Mothers, Latasha Sublett

Walden Dissertations and Doctoral Studies

Homelessness is a worldwide, complex social problem that has impacted groups like women and children. In recent studies, researchers have demonstrated that homeless mothers can face mental health challenges and stressors related to parenting, while homeless children can experience emotional and physical difficulties. Parental resources have been cited as a tool to help homeless families address stress and development in distinct settings in current research; however, there was limited research on how faith-based non-profits utilize parental resources to help homeless mothers. The purpose of the generic qualitative study was to learn the perceptions and experiences of faith-based non-profit human services …

Exploring The Process Of Using Equine-Assisted Psychotherapy To Treat Anxiety, Danica Yates

Walden Dissertations and Doctoral Studies

Anxiety is the most rapidly growing mental health problem globally, particularly among adolescents and young adults. Mental health clinicians need effective integrative health treatment strategies to address the anxiety epidemic. The purpose of this qualitative generic study was to explore the perspectives of clinicians on the process of using equine-assisted psychotherapy (EAP) to treat adolescents and young adults with anxiety through the lens of a somatic theory, bioenergetics. Data were collected using semi-structured interviews with 12 EAP clinicians and analyzed using Braun and Clarke’s thematic analysis. Three themes were identified: 1. The process of EAP is highly effective because energetic …

Teachers And Administrators’ Perspectives Of Teacher Retention Rates During The First 5 Years Of Employment, Seth Hay

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study was the high percentage of novice teachers leaving the profession during the first 5 years of teaching in a Southwestern state. Grounded in Mitchell et al.'s job embeddedness theory, the purpose of this qualitative study was to explore K-12 teachers’ perspectives on factors influencing their decision to remain in the education profession, as well as K-12 administrators’ perspectives on influencing novice teachers’ decisions to persist in the education profession in a Southwestern state. For this basic qualitative design, data were collected from 10 teachers and three administrators and analyzed using Braun and …

What Are The Current Risks For Patients Associated With Technology Related Perfusion Practices: A Scoping Review, Jessica Steel

Student Works

Background: Advancements in medical technology, particularly in perfusion practices such as ECMO and heart-lung bypass, have improved patient care but also introduced novel risks. Technological errors—ranging from hardware malfunctions to software failures and AI model inaccuracies—can directly threaten patient safety.

Objective: To identify current trends and risks associated with technology in perfusion practices and synthesize evidence on the frequency, nature, and outcomes of technology-related errors.

Results: Evidence indicates substantial deficiencies in medical devices, predictive models, and health IT systems. AI-based predictive models frequently failed to detect critical health deterioration, missing 66% of injuries in some in-hospital mortality simulations. Adverse events …

Ribosomal Stress In The Pathogenesis And Treatment Of T-Cell Acute Lymphoblastic Leukemia, Kimberly Bridget Johansson

Arts & Sciences Graduate Student Theses and Dissertations

T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy in which activating mutations in the Notch pathway are thought to contribute to transformation, in part, through activation of c-Myc. Increased expression of c-Myc induces oncogenic stress that can lead to apoptosis through the Mdm2-p53 tumor suppressor pathway. Since the great majority of T-ALL cases maintain wildtype MDM2 and TP53, we hypothesized that T-ALL cells are selectively sensitive to MDM2 inhibition. Treatment with idasanutlin, an MDM2 inhibitor, although only inducing modest apoptosis in T-ALL cells, resulted in a significant upregulation of pro-apoptotic BH3 domain genes BAX and BBC3. This prompted …

Temporary By Design: Why International Students Need A Real Pathway To Permanent Residence, Benedetta Palese

Cardozo Journal of Equal Rights and Social Justice (ERSJ) Blog

You grow up in a rural town abroad where English is barely taught. You teach yourself the language, travel hours to take standardized tests, and earn admission to a United States university. You stay for law school, believing that talent and persistence will bring stability. Near graduation, the question changes: what happens when the student visa expires, and life beyond campus begins?

The United States should create a meaningful, predictable pathway from F-1 student status to permanent residence. International students are welcomed as students and future workers, yet the law still structures them as temporary visitors. That instability is not …

From Pen To Prompt: A Professional Learning Guide For Ai-Assisted Writing In Secondary Classrooms, Tracy Parks

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University by Tracy Parks on March 30, 2026.

Gene-Agnostic Therapeutic Strategies For Inherited Retinal Diseases: Neuroprotection And Immunomodulation, Lucas W. Rowe, S. Patricia Becerra, Robert E. Maclaren, Robert L. Avery, Charles C. Wykoff, Allen C. Ho, Carl D. Regillo, Dean Eliott, Andrew Osborne, Katie M. Binley, Thomas A. Ciulla

Wills Eye Hospital Papers

Background/Objectives: Inherited retinal diseases (IRDs) represent a genetically heterogeneous group of disorders caused by mutations in over 280 genes with more than 3100 identified variants. While gene-specific replacement therapies have achieved landmark success with voretigene neparvovec (Luxturna) for biallelic RPE65-associated retinal dystrophy, developing individual therapies for each genetic subtype remains impractical. This review examines gene-agnostic therapeutic approaches utilizing neuroprotection and immunomodulation that target common pathophysiological mechanisms shared across multiple IRD genotypes. Methods: We reviewed the literature on neuroprotective and immunomodulatory gene therapy strategies for IRDs, focusing on neurotrophic factors and complement system modulation. Results: Neuroprotective approaches delivering neurotrophic factors—including pigment …

Validating Hybrid Simulation Of Restaurant Noise With Real-World Data, Samuel Underwood

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Restaurants exhibit noise levels that vary with occupancy over a typical operating day. When noise levels become excessive, customer comfort is diminished. While many previous works have surveyed noise levels in restaurants over short time intervals, there has been little work to comprehensively examine noise levels over a full operating day, while also tracking occupancy levels and thoroughly measuring unoccupied acoustical parameters. This dissertation work contributes to the existing body of restaurant acoustics work by measuring unoccupied and occupied acoustical conditions in 21 restaurants in the Midwest, correlating user reviews, scores, and crowdsourced noise levels measured in 943 venues in …

Evaluation Of Transportation Policy Effectiveness In The United States: Case Of Personal Electric Vehicles And Commercial Electronic Logging Devices, Hania Afzal

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Together, electric vehicle (EV) adoption and the electronic logging device (ELD) mandate illustrate two dimensions of transportation technology policy: the first driven largely by environmental and market-based incentives and the second by safety regulation and compliance requirements. Examining these cases side by side for the United States allows for a more comprehensive analysis of how technology adoption unfolds under different policy regimes, offering insights into the broader relationship between policy design, industry response, and public outcomes. The commercial motor vehicle (CMV) sector presents a different but equally important policy challenge in transportation technology adoption. Unlike consumer passenger vehicles, CMVs are …

Teacher Bias And Elementary Student Disciplinary Outcomes, Madeline A. Griffitt

Graduate Theses, Dissertations, and Capstones

The discipline of students has long been an issue in schools. Children and teenagers are just that, and they will misbehave. However, the discipline gap clearly indicates that responses to misbehavior are different for different students (Lorenzetti & Johnson, 2023; Santiago-Rosario et al., 2021). Black students are disciplined more frequently and more severely than any of their peers (Kupchik & Ward, 2014; Welsh & Rodriguez, 2024). This study investigates what, if any, relationship exists between a teacher’s race, gender, age, and bias score (as measured by Project Implicit’s (n.d.) single category race implicit bias test) and the number of referrals …

An Interpretable Hybrid Deep And Reinforcement Learning Paradigm For Glioma Prognosis, Renuga Devi M Ms

Theses and Dissertations

Brain tumors are highly aggressive and lethal types of cancer, particularly gliomas. These cancerous growths show complicated pathophysiological behaviours and with poor prognosis despite therapeutic advances. Due to their biological differences and infiltrating growth, as well as overlapping radiological characteristics, they pose great difficulty in diagnosis, grading, and survival prediction. Artificial intelligence technology, which includes machine learning , deep learning, and reinforcement learning has developed into a new paradigm for the automation of brain tumor diagnostics and personalized treatment. The main goal of this study is to create an integrated AI-based framework that can perform brain tumor segmentation, grading and …