Digital Commons Network^™

Pengaruh Media Sosial Terhadap Proses Pembelajaran Mahasiswa Perpustakaan Dan Sains Informasi, Aswan Pratama, Muh Wahyu Al Fauzal Nasrul, Harianto Harianto

Jurnal Ilmu Informasi, Perpustakaan, dan Kearsipan

This study aims to analyze the influence of social media usage on the learning process of Library and Information Science students. Using a qualitative method with in-depth interview techniques, this research explores students' experiences and lecturers' perspectives regarding digital interaction in an academic context. The results identify four main patterns: high digital distraction increasing cognitive load, the use of social media as a learning support system, emotional dependency triggering academic procrastination, and self-control strategies applied by students. The findings indicate that social media has a dualistic impact; on one hand, it serves as a source of distraction and time management …

Wake-On-Anomaly Federated Architecture For Privacy-Preserving Poultry Health Early Warning, Mahmoud Aziz Louati

Masters Theses

Highly pathogenic avian influenza outbreaks, respiratory disease, heat stress, and silent equipment failures share one operational reality: they are detected too late because today’s poultry-health workflow is reactive, manual, and dependent on producers volunteering commercially sensitive data. This thesis presents a wake-on-anomaly federated architecture that addresses both the detection-latency problem and the privacy–adoption deadlock that has so far prevented cross-farm collaboration. The architecture is organized in two tiers. Tier 1 is a lightweight LSTM autoencoder that continuously screens four routine telemetry channels (water, feed, house temperature, activity proxy) and emits a per-window reconstruction-error score. A debounced k-of-m trigger with cooldown …

As-1014-26 Resolution On Ufpp 12.2 Number Of Office Hours, Academic Senate Faculty Affairs Committee

Academic Senate Resolutions

Resolves that UFPP 12.2 be revised effective Fall 2026 according to the attached documents; and further resolves that colleges and departments update their office hours policies to conform with the revisions to UFPP 12.2; and be it further that, when published on the Academic Programs and Planning website, the scaling of the office hours to instructional workload shall be translated into both minutes and credit hours; and further resolves that Cal Poly prioritize the development of a directory of faculty office hours accessible within the portal.

Academic Senate - Agenda, 05/26/2026, Academic Senate

Academic Senate Agendas

No abstract provided.

A Govsecops-Oriented Governance, Risk, And Compliance Platform For Continuous Authorization In Dod Il4/Il5 Environments, Anand Janjal

Journal of Cybersecurity Education, Research and Practice

Department of Defense (DoD) Impact Level 4 and Impact Level 5 (IL4/IL5) systems require continuous assurance of cybersecurity posture under stringent operational and regulatory constraints. While the NIST Risk Management Framework (RMF) and DoD DevSecOps guidance emphasize continuous authorization supported by real-time evidence, many existing Governance, Risk, and Compliance (GRC) platforms remain documentation-centric and insufficiently integrated with operational telemetry. This paper presents a GovSecOps-oriented GRC architecture that integrates vulnerability ingestion, automated Plan of Action and Milestones (POA&M) lifecycle management, dynamic risk scoring, and continuous authorization dashboards within IL4/IL5 environments. Using a Design Science Research methodology, the study develops and evaluates …

Ndls Communicator: Week Of 05.26.26, Notre Dame Law School

NDLS Communicator

The Latest News

• Celebrating the Commencement of Notre Dame Law School’s Class of 2026
• Commencement 2026: Dean G. Marcus Cole’s charge to the graduating class
• Commencement 2026: Speech by Distinguished Professor of the Year Fr. Pat Reidy, C.S.C.
• Notre Dame Law School announces awards for 2026 graduating class
• Notre Dame Law Graduate Kyung Mo Kang ’26 J.S.D. Examines Accountability for Human Rights Violations in North Korea Notre
• Notre Dame Law Graduate Tyson Weeks '26 J.D. Receives 2026 Equal Justice Works Regional Public Interest Award
• Paolo Carozza provides insight on Pope Leo XIV’s encyclical Magnifica humanitas

Faculty Briefs

• Dean G. Marcus …

Reinforcement Threshold Controlled Modernn Tuned With J* And QMax Bilingual Spatiotemporal Attention Fusion For Inclusive Real-Time Sign Language Interpretation, Harapriya Kar, P Viswanathan

Baghdad Science Journal

Deaf communities still struggle with communication, partly due to the inefficiency of current sign language recognition systems, their poor generalization, and their inability to manage regional and linguistictions. This work suggests a novel architecture that blends attention-based spatiotemporal processing (RTC-ModeRNN-BSF) with a reinforcement threshold–controlled ModeRNN to solve these problems. The model adapts its computation based on the complexity of the input gesture, using between 2 and 8 attention slots, while gradually reducing exploration during training ($\varepsilon$: 0.9→ 0.1). Dual-stream memory pathways are optimized using joint log-likelihood maximization (J-Star) and computational pruning (Q-Max) to capture both immediate sequential patterns (C_{t …}

Hs-Amm: Hierarchical Spatial Attention Mechanism Model For Facial Expression Recognition Based On Deep Learning, Ahmed Oday, Azizi Abdullah, Shahnorbanun Sahran

Baghdad Science Journal

Facial expression recognition (FER) is a significant challenge due to the complexity of multi-class categorization and the subtle differences between emotional factors, with existing deep learning models often struggling to leverage hierarchical local features for accurate distinction. To find a solution, this study proposes a two-method approach, aiming to enhance FER accuracy by refining classification through the arousal-valence dimension and improving feature extraction via an adaptive attention mechanism to resolve the difficulty of differentiating semantically close expressions. The proposed methodology combines (1) a two-level classification strategy, first, performing fine-grained classification, and second, multi-class categorization by grouping expressions into neutral, positive, …

Evaluation Of Serum Eotaxin And Related Biomarkers In Focal And Generalized Epilepsy, Fenik Ahmed Nadir, Firas Shawqi Algburi, Zeyan Abdullah Ali, Shaima Ahmed Nadir

Baghdad Science Journal

Epilepsy is a common brain disorder, characterized by spontaneous recurrent seizures, with associated neuropsychiatric and cognitive comorbidities and increased mortality. Assessment of serum Eotaxin and related biomarkers offers useful information about neuroinflammatory activity and metabolic imbalance in epilepsy, and may have potential value as diagnostic and prognostic tools. The aim of this study was to evaluate the association between Eotaxin, Intelectin-1, Kynurenine, and Proprotein Convertase-1 and epilepsy. The study consisted of 90 subjects who were classified into three groups: 30 healthy controls, 31 patients with focal epilepsy, and 30 patients with generalized epilepsy. Serum samples were obtained, and biomarker concentrations …

Isometric Force Characterization Of Braided Pneumatic Actuators, Ben Bolen, Mohammad Elzein, Lawrence Pang, Alexander Hunt

Mechanical and Materials Engineering Faculty Publications and Presentations

Artificial muscles such as braided pneumatic actuators (BPAs) offer many advantages for robotic systems, including high durability and strength-to-weight ratios. However, their use in robotic systems is still extremely limited, in part due to their poor force, length, and pressure characterization. In this work, a test setup is created to compare force produced by Festo fluidic BPAs with leading models. Our analysis of the data has resulted in (1) the development of new equations to calculate force as functions of pressure and contraction for Festo BPAs with uninflated diameters of 10 mm and 20 mm, and (2) a novel equation …

To Be Closer, Sarah Moschel Miller

LSU Master's Theses

to be closer explores the intersection of yearning and unease. This series of works uses the visual language of the body and its thresholds to explore how each of us builds interpersonal relationships and understandings of self. Pulling from abjection theory, the abject comes from the internal becoming external, the crossing of a bodily or personal threshold. My sculptures, vessels, and prints translate the visual language of the border of the body into a discussion of emotional ones. to be closer uses these corporeal thresholds and the language of the uncanny as vehicles to discuss the crossing of emotional …

Distributed File Carving, Brad J. Baudin

LSU Master's Theses

File carving is a fundamental technique in the digital forensics community, enabling analysts to recover deleted files from disk images without relying on filesystem metadata; however, as storage capacities continue to increase, modern file carving tools face significant scalability challenges, with carving time growing substantially alongside disk image size, particularly in the presence of file fragmentation. Fragmentation, a common behavior in modern filesystems, distributes file data across non-contiguous disk blocks to maximize space utilization, and in large disk images this distribution can span wide logical distances, increasing the search space and reducing carving efficiency, causing traditional approaches to struggle within …

Smartdesk: Automatic Ticket Classification And Resolution Prediction Using Data Analytics, Danarir Almuhairi

Theses

Public and service-oriented organizations increasingly rely on digital ticketing systems to manage large volumes of citizen and customer requests. Despite this, many ticket management processes remain partially manual, leading to delays in case routing, inefficient resource allocation, and inconsistent resolution times. These challenges can negatively impact service quality, operational efficiency, and user satisfaction, particularly in large-scale public sector environments. This study proposes SmartDesk, a data-driven framework for automatic ticket classification and resolution time prediction using data analytics and natural language processing (NLP) techniques. The research leverages publicly available helpdesk and service ticket datasets to simulate real-world service environments where incoming …

Benchmarking Genome Choice In Functional Genomics Analyses, Juan F Macias-Velasco, Xiaoyu Zhuo, Chad Tomlinson, Eddie A Belter, Milinn Kremitzki, Derek Albracht, Tina Lindsay, Xiaoyun Xing, Nina Tekkey, Wenjin Zhang, John E Garza, Zheng Xu, Zilan Xin, Qichen Fu, Heather A Lawson, Nathan O Stitziel, Robert S Fulton, Daofeng Li, Human Pangenome Reference Consortium, Ting Wang

2020-Current year OA Pubs

The human genome reference established a shared coordinate system for genome function, but it is incomplete and not fully representative of human diversity. Here, we benchmark how genome representation and corresponding analytical frameworks for each representation shape functional genomics using chromatin accessibility sequencing (ATAC-seq), RNA sequencing, whole-genome bisulfite sequencing, and chromosome conformation capture (Hi-C) data from lymphoblastoid cell lines derived from five individuals with fully phased genome assemblies. We compare results across hg38, CHM13, the draft human pangenome, and each individual's maternal and paternal assemblies. Because current pipelines and quality control conventions are tuned to hg38, several of these comparisons …

The Impact Of Sustainable Responsible Investment On The Environmental And Financial Performance Of Listed Companies (In The Context Of European Regulatory Framework), Leila Kamara

Engaged Management ReView

Although socially responsible investment (SRI) first emerged in the United States in the 1970s, its influence is now global and booming. The most striking illustration is the increase of signatories to the United Nations Principles for Responsible Investment (PRI): The number of signatories surged from around 100 in 2006 to more than 5,000 in 2025 (Peillex & Comyns, 2020), confirming that SRI is now central to investment strategies. The landscape of environmental, social, and governance (ESG) investment has seen the emergence of new stakeholders, including data providers. However, persistent limitations regarding data transparency, accessibility, and comparability have prevented investors from …

Multi-Cloud Latency-Aware Ledger Synchronization Layer System And A Method Thereof, Ananya Verma, Raouf Khan

Defensive Publications Series

The present disclosure relates to a multi-cloud latency-aware ledger synchronization layer system for maintaining consistency of payment networks across geographically distributed data centers. The system includes a distributed telemetry mesh configured to continuously measure inter-cloud network performance metrics such as latency, jitter, and packet loss. Furthermore, the system employs a latency surface modeling engine configured to construct a dynamic latency surface model based on the measured metrics. A synchronization scheduler is then configured to select replication targets and timing windows for ledger updates based on real-time assessments of the latency surface model and compliance constraints, ensuring that critical updates are …

Offline‑First Transaction Buffering With Merkle‑Root Synchronization For Mobile Api Requests, Harshwardhan Tripathi

Defensive Publications Series

The present disclosure relates to a method and a system for synchronizing offline-generated Application Programming Interface (API) requests using Merkle roots between a client device and a server. The present disclosure suggests buffering one or more API requests in a persistent local storage queue responsive to unavailability of network connectivity. Thereafter, the present disclosure suggests generating, for each buffered API request, a cryptographic leaf hash based on a canonical representation of the corresponding API request. Upon generating the cryptographic leaf hash, the present disclosure suggests constructing, by the client device, a Merkle tree including the cryptographic leaf hashes as leaf …

Agentic System For Real-Time Social Media Intelligence Synthesis And Strategic Briefing Generation, Kevin Babu

Defensive Publications Series

A technique is proposed for real-time social media intelligence synthesis and strategic briefing generation. Engagement metrics associated with social media content associated with a user are obtained. An artificial intelligence (AI) agent configured to derive data for a social media briefing based on the engagement metrics is instantiated. The AI agent is caused to calculate an engagement velocity of the social media content based on a rate of change of the engagement metrics over a time period. The AI agent is caused to to determine a brand sentiment forecast and a viral breakout point based on the engagement velocity and …

Virtual/Augmented Reality Paired Driving Using Digital Key Enabled Device For Pairing/Authentication, Nick Miller, Emelie Jess Ashdown

Defensive Publications Series

This disclosure describes a system for safely driving a vehicle from a remote location using an extended reality (XR) headset, virtual reality (VR) goggles, augmented reality (AR) glasses, or a hardware simulator. Existing remote driving, tele-operation, or remote vehicle control methods often rely on simple passwords, which can be less secure. This new technique uses a high-security digital car key stored on a physical device—such as a smartphone, an object tracking tag, or a small hardware “puck”—that should be placed inside the vehicle before it can be operated remotely. This creates a physical requirement that ensures only someone with authorized …

Optimized, Context-Aware Large Language Model (Llm) Architecture For Artificial Intelligence (Ai)-Native Sixth-Generation (6g) Networks, Swapnil Barai, Ravi Shekhar, Dishant Parikh, Gaurav Kumar Rungta

Defensive Publications Series

The evolution toward sixth-generation (6G) networks introduces agentic communication, in which autonomous software agents interact and execute actions based on real-time environmental data. Large language models (LLMs) provide reasoning capability for such agents, but deploying an individual LLM for each agent can be operationally and economically infeasible. This disclosure presents a consolidated, context-aware LLM architecture that centralizes LLM resources within a 6G core and logically separates the resources into control plane (CP) and user plane (UP) instances. Using a shared resource model and a context-tagging mechanism based on device type, radio access technology (RAT), and function type, the architecture supports …

Multi-Agent Safety Architecture Using Geometric Projections And Cryptographic Egress Control, Neel Mohbe

Defensive Publications Series

Decentralized, multi-agent artificial intelligence (AI) systems can introduce structural vulnerabilities, such as emergent toxicity and alignment erosion, that existing safety paradigms may not fully address. A multi-agent safety architecture is described that can treat safety as a geometric and cryptographic property of a network's communication and consensus fabric. A method can involve mathematically defining a safety concept as a subspace within a model’s activation manifold to create an orthogonal projection operator. This operator may filter agent states to help mitigate harmful emergent content, a cryptographic egress layer with low-rank proofs can be used to verify the filter's application before messages …

Enhancing Social Activity Through Climate-Adaptive Design In Hot-Humid Campus Open-Spaces: A Case Study Of The University Of Basrah In Iraq, Noor A. Almansor, Farah Ahmed Thiab, Riyam Rajab Fenjan

HBRC Journal

Outdoor open spaces between university buildings support students' community interactions and academic achievements. However, in hot-humid climate zones, some of these spaces lack activity and experience social withdrawal due to thermal discomfort. This is seen on the University of Basrah campus. To address this, the study aimed to identify the most suitable climate-adaptive design pattern to improve thermal comfort and, in turn, enhance students' social presence in the University of Basrah's neglected, peripheral outdoor campus spaces. A convergent mixed-method case study was applied. First, measurable environmental and social factors were identified from related studies. Next, two open spaces in the …

A Hybrid Deep Learning Framework For Multi-Class Retinal Disease Classification, Ali M. Duhaim, Abbas M. Al-Bakry

AUIQ Technical Engineering Science

Ocular diseases such as diabetic retinopathy, glaucoma, and cataract remain major causes of vision loss worldwide, creating an increasing demand for accurate and reliable automated diagnostic systems. Although deep learning techniques have demonstrated strong performance in retinal image analysis, their clinical adoption is still limited by challenges related to predictive reliability, robustness, and interpretability. This study presents HEFR-Net (Hybrid EfficientNet-B3 and ResNet-50 Feature-Fusion Network), a hybrid deep learning framework designed for multi-class classification of retinal fundus images. The proposed architecture integrates EfficientNet-B3 and ResNet-50 through feature-level fusion, enabling the model to capture both fine-grained texture patterns and high-level structural characteristics …

Ambient Pre-Conscious Intelligence (Api), Johny Manuel-Devadoss, Deepthi Prasad, Jayden Jack Johnson

Defensive Publications Series

Current artificial intelligence systems are, in practice, still largely reactive in nature. Even the most advanced assistants typically require explicit user prompts, clearly observable interaction events, or high-confidence inference of user intent before they engage in meaningful computational support. As a result, there is an inherent delay between the moment a cognitive need begins to emerge and the moment a system is able to respond. This delay is not merely a technical limitation; it introduces measurable friction into everyday human–computer interaction. In complex, information-dense environments, this friction accumulates, contributing to increased task-switching costs, reduced continuity of thought, and elevated cognitive …

Secure Live Streaming Architecture With Continuous Visual Identity Verification And Avatar‑Based Subject Representation, Krzysztof P. Bednarz

Defensive Publications Series

This publication describes a secure live streaming software architecture in which a human subject is continuously recognised using computer vision, visually occluded, and replaced in real time with an avatar-based graphical representation. The system supports local, remote, and distributed processing across mobile devices, desktop systems, and network-connected services. Identity verification is enforced throughout the streaming session, and streaming output is automatically frozen, paused, or terminated if the recognised subject no longer matches an authorised identity profile. This version extends the disclosure to include explicit failure modes and attack scenarios, strengthening its value as defensive prior art.

Staff Education To Improve Treatment Adherence Among Young Adults With Mental Health And Substance Use Disorders In An Outpatient Behavioral Health Clinic, Nkechinyere Eririma Nwachukwu

Walden Dissertations and Doctoral Studies

No abstract provided.

Crime-Related Media Consumption And Fear Of Crime Victimization: The Moderating Roles Of Stress And Coping, Katelyn Elizabeth Byers

Walden Dissertations and Doctoral Studies

No abstract provided.

Improving Antihypertensive Medication Adherence Through Patient-Centered Assessment In Rural Primary Care, Tiesha Keoni Mathis

Walden Dissertations and Doctoral Studies

No abstract provided.

An Emotional Intelligence Staff Education Program For Patient-Aligned Care Team (Pact) Members, Linda Rogers

Walden Dissertations and Doctoral Studies

No abstract provided.

Successful Strategies Leaders Of New Car Dealerships Use To Maximize Retention Of Salespeople, Kacey Patrice Taylor

Walden Dissertations and Doctoral Studies

No abstract provided.