Digital Commons Network^™

Artificial Intelligence And Challenges Of Sustainable Library Services For Children And Young Adults In Nigeria, Ishioma Nwanapayi Iwegbue, Chigozie Blessing Mba

Library Philosophy and Practice (e-journal)

No abstract provided.

Consciousness And Knowledge Organization In Lis: Online And Offline Bubbles Of Experience, Arwa Alsultan

Library Philosophy and Practice (e-journal)

Knowledge organization (KO) systems such as the Dewey Decimal Classification (DDC) structure human knowledge primarily through disciplinary subject relationships, leaving the subjective, experiential dimension of knowledge engagement largely unexamined. This conceptual study extends David Gamez's (2018) distinction between "online" (environmentally-coupled) and "offline" (environmentally-decoupled) bubbles of experience into Library and Information Science (LIS), proposing that DDC's ten main classes can be interpreted as differing in the dominant mode of conscious engagement they require. Drawing on Integrated Information Theory, Global Workspace Theory, and Default Mode Network research, the study maps each DDC class onto this experiential spectrum and examines the cognitive capacities …

The Coupled Hydrology–Human Activity Information (Chhai) Dataset: A Global Benchmark Dataset For Model Comparison And Evaluation, Azara Boschee, Aneseh Alborzi, Augustina Clara Alexander, Berit Arheimer, Salsebil Bel Hadj Ali, Günter Blöschl, Andrea Castelletti, Xi Chen, Aniya Dogra, Erhu Du, Jesse Duku, Aldo Fiori, Margaret Garcia, Salvatore Grimaldi, Naota Hanasaki, Yeonjoo Kim, Heidi Kreibich, Chenyuan Li, Ali Mehran, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

To enhance hydrologic modeling, the hydrology community has developed benchmark datasets (e.g. Model Parameter Estimation Experiment, MOPEX), providing standardized data for model evaluation and parameter estimation. However, these datasets primarily focus on modeling natural hydrologic processes, leaving a critical gap in understanding the role of human influences. Here, we introduce the Coupled Hydrology-Human Activity Information (CHHAI) dataset, a benchmark dataset that integrates coupled human–water data from regions across all continents, excluding Antarctica. CHHAI incorporates data from 25 regions that cover various human impacts such as reservoir management, flood protection, river management policies, land use changes, and water use. Each basin …

Research Competence, Technology Skills As Correlates For Job Satisfaction Among Librarians In Universities In Delta State, Oghuvbu Blessing

Library Philosophy and Practice (e-journal)

Librarians perform academic and professional functions in universities, which require them to have job satisfaction for effective job performance. This study worked at the intersection of research competencies, technological skills and job satisfaction among librarians in universities in Delta State, Nigeria. The population of the study was the entire 81 librarians in universities in the state. A total population sampling was adopted. Data collected using a structured questionnaire was analysed using mean and standard deviation. The study found a high level of research competence, technology skills, and job satisfaction among the librarians in the universities. Conclusion the study found that …

Websites Of Pharmacy Colleges: A Webometric Analysis, Yashwant S. Chaudhari Mr., Hemant S. Bhoye

Library Philosophy and Practice (e-journal)

In the digital era, institutional websites act as the primary gateway for disseminating academic information, services, and research output. Webometric analysis is a quantitative method used to evaluate the performance, visibility, and impact of websites based on web-based indicators such as hyperlinks, web pages, and parts of web pages.  This study examines 17 pharmacy colleges in Nashik district, out of a total of 63 pharmacy colleges affiliated to Savitribai Phule Pune University, Pune. The study examines domain extensions, number of web pages, internal and external links, and availability of library webpages. It also evaluates content features such as academic information, …

Smart-Twin: Systematic Modeling And Real-Time Transportation With Digital Twins, Hovannes Kulhandjian

Mineta Transportation Institute

Urban transportation networks are increasingly affected by everyday congestion, non-recurring disruptions, and limited real-time visibility into what is happening on the road. Transportation agencies require advanced tools that support faster, proactive management and data-driven infrastructure decisions rather than passive monitoring. This report presents SMART-TWIN, an Artificial Intelligence (AI)–driven Digital Twin framework designed for real-time traffic operations, disruption detection, and performance-based decision-making support. The SMART-TWIN architecture integrates microscopic traffic simulation (detailed traffic modeling), long-horizon synthetic demand generation simulating real travel patterns, supervised machine learning, and performance analysis within a unified and reproducible workflow. A corridor-scale Digital Twin was developed for the …

Beyond The Catalog: Library Professionals' Adoption Of Ai And Ai Tools Through The Lens Of Utaut, Dr. Sankar P, Anjaline R

Library Philosophy and Practice (e-journal)

The exponential growth of Artificial Intelligence (AI) technology has radically changed the information landscape, making it essential to explore how library professionals perceive and utilize these new tools. This study examines attitudes of library professionals toward AI and AI-based tools through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT). A structured questionnaire survey was conducted amongst 165 library professionals from academic, public and special libraries spread across India. The study applies Structural Equation modeling (SEM) with the use of AMOS 26.0 to analyze the relationships among UTAUT constructs such as Performance Expectancy (PE), Effort Expectancy …

Sjsu Erfa News, Summer 2026, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 39, No 39

Understanding How Fire Impacts Soil Carbon And Nutrient Cycling: Toward Standardized Reporting Of Fire Metrics For The Integrated Plant-Soil System, Julia B. Gaudinski, Kate Wilkin, Jasquelin Peña, Mary Ellen Miller, Margaret S. Torn

Faculty Research, Scholarly, and Creative Activity

Fire events impact soil carbon (C) and nutrient stocks immediately due to combustion of biomass and organic matter and set up additional post-fire changes to ecosystem inputs and losses. The literature on this topic is expanding rapidly as large and intense wildfires are increasingly affecting communities globally. However, many of these studies do not describe initial post-fire soil conditions adequately or consistently, nor do they link the impacts of fire on C and nutrient cycling to key soil properties and soil inputs, stocks and fluxes. Here we conduct a systematic analysis of 56 review- papers published in 2010 or later …

Routes To Sustainable Goods Movement: How Local And Regional Governmental Agencies Can Plan For The Sustainable Freight System Of The Future, Serena E. Alexander, Avante Grady

Mineta Transportation Institute

Freight transportation plays a critical role in supporting economic activity and everyday consumption across metropolitan regions, but growing freight demand continues to increase congestion, infrastructure strain, greenhouse gas emissions, air pollution, and safety risks. These impacts often disproportionately affect low-income and environmentally burdened communities. This report examines how metropolitan regions across the United States are planning for sustainable freight transportation through content analysis of freight and goods movement plans and interviews with freight planning professionals. The study analyzes plans from eight major metropolitan regions to identify common freight planning strategies, implementation approaches, opportunities, and barriers related to sustainability, resilience, and …

Preparing Today’S Workforce For Tomorrow’S Autonomous Transportation: Bridging Electrical And Civil Engineering Disciplines, Masoud Ghodrat Abadi, Rohollah Moghadam

Mineta Transportation Institute

Autonomous vehicles (AVs) are expected to transform transportation systems and reshape workforce needs across engineering and related fields. Although existing AV workforce development efforts often emphasize electrical engineering, computer science, and mechanical engineering, transportation engineering remains underrepresented despite its importance to infrastructure, traffic operations, safety, and mobility integration. This study addresses that gap through the development, implementation, and evaluation of an interdisciplinary certificate program, Workforce for Autonomous Vehicle Engineering (WAVE), at California State University, Sacramento. The program was designed to bridge transportation engineering and electrical engineering through a two-step curriculum model consisting of theoretical educational modules and hands-on laboratory activities. …

Addressing Data Scarcity In Malware Classification Via Pixel-Level Synthetic Image Generation, Mounika Krishna Teja Karumudi, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Deep learning-based malware classification using image representations has emerged as a highly effective paradigm for threat detection. However, training robust neural networks is frequently bottlenecked by data scarcity and severe class imbalances in real-world repositories. This study investigates the viability of using an autoregressive PixelCNN framework to synthesize high-fidelity, class-specific malware images to augment limited training distributions. Utilizing the benchmark Malimg dataset, we systematically evaluate a Convolutional Neural Network (CNN) classifier across varying ratios of synthetic-to-authentic data under strict data scarcity constraints (ranging from 10 to 80 authentic samples per family). Our experimental results reveal that while PixelCNN successfully replicates …

Semantic-Geometric Decoupling For Universal Spatial Anchoring In Extended Reality, Danila Kharitonenkov, Haichao Miao, Vuthea Chheang

Faculty Research, Scholarly, and Creative Activity

The Vision Language Models (VLMs) demonstrate remarkable performance in semantic reasoning tasks. However, it is still challenging for them to fully understand 3D spatial environment. Trained on 2D data, the model does not understand the relationship between positions and the first-person viewpoint, leading to viewpoint confusion, which is especially evident during egocentric tasks. The VLMs use 2D image Red-Green-Blue channel (RGB) pattern matching instead of actual point cloud coordinates for distance calculations. This modality could prevent the model’s 3D space geometry understanding, and leads to metric hallucination, as the model guesses the distance without mathematical calculations. In addition, the industrial …

From Deficit To Dialogue: Reassessing The Role Of Institutional Data In Library Resource Deployment, Rebecca Bryant Penrose, Geoff Walton, Kirsty Fife, Mary K. Bolin

Faculty Research, Scholarly, and Creative Activity

Universities increasingly foreground institutional research (IR) dashboards to steer ‘student success’ agendas, yet much of the library’s contribution operates through relationships that IR cannot readily capture. As a result, the library’s engagement with IR efforts remains underexplored in library and information science scholarship. Drawing on descriptive survey data from 66 academic librarians and library administrators, together with nine semi-structured interviews conducted across the California State University system, this study examines how library resources are allocated at course level and whether IR data inform those decisions. Findings indicate that librarians rely far more on local relationships, timing within the academic calendar …

Identifying Parkinson’S Disease From Gait Biomechanics Using A Participant-Level Machine Learning Analysis Pipeline, Li Jin

Faculty Research, Scholarly, and Creative Activity

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor control, balance, and gait impairments that significantly elevate fall risk. Traditional gait analysis focuses on spatiotemporal parameters, while gait variability, asymmetry, and balance measures offer more sensitive indicators of PD-related motor deficits. Machine learning studies using wearable gait data frequently report high classification accuracy but lack biomechanical interpretability and methodological rigor. Using the PhysioNet Gait in Parkinson’s Disease database, 93 individuals with PD and 72 healthy controls were analyzed during level-ground walking. Key biomechanical differences were identified: stride time coefficient of variation was significantly higher in PD bilaterally (left …

Assessing The Effect Of Chromolaena Odorata On Maize (Zea Mays L.) Growth And Yield In The Semi-Deciduous Forest Zone Of Côte D’Ivoire, Roger Bayala, Lisette Zeh Tokpa, Firmin Kouamé Konan, Kouamé Emile Ange Brou, Ambroise Casimir Laopé Siene, Pauline Amanko Ndouba, Nathanael A. Bogie, Sabas Sadaiou Yao Barima

Faculty Research, Scholarly, and Creative Activity

Chromolaena odorata is a dominant pioneer species in the successional vegetation following deforestation in humid and sub-humid tropical regions. Despite its prevalence, the specific interactions between C. odorata and subsequent food crops remain poorly characterized. This study aimed to evaluate the influence of C. odorata on the growth and yield of maize (Zea mays L.) under varying nutrient regimes. The experiment employed a randomized complete block design to assess the interaction between shrub presence (present vs. absent) and fertilization (0 or 1× the recommended N–P–K rate). The results indicated that the presence of C. odorata significantly increased maize height, stem …

Disaster Preparedness, Prevention And Management In Lagos State University Library, Mausi A. Bokoh, Sophia V. Adeyeye Dr, Oluwaseun Adeola Abiodun-Asanre, Mrs

Library Philosophy and Practice (e-journal)

Disasters pose significant threats to human lives, infrastructure, and national socioeconomic development. Effective disaster preparedness, prevention, and management are therefore vital for mitigating their impact and ensuring continuity of operations. This study examined disaster preparedness, prevention, and management practices at Lagos State University Library. A survey research design was adopted, and data were collected through a structured questionnaire covering key aspects of disaster management. Frequency counts, percentages, mean, and standard deviations were used to analyze data.  The findings revealed that the library employs basic preventive strategies such as turning off electricity after work hours and ensuring timely evacuation during emergencies. …

Demand And Capacity Management Of Runway Systems: A Review, Hao Jiang, Weili Zeng, Hainuo Zhou, Yannan Lu, Yuheng Chen, Wenbin Wei

Faculty Research, Scholarly, and Creative Activity

Runway systems serve as the critical interface between airports and terminal airspace, and their efficient operation is essential for balancing air traffic demand and airport capacity. With the continuous growth of air traffic, intelligent runway demand and capacity management has become increasingly important for mitigating congestion and delays. This paper presents a comprehensive review of runway capacity–demand management from both supply-side and demand-side perspectives. On the supply side, runway configuration selection is reviewed, including runway configuration capacity envelopes, influencing factors, and existing optimization methodologies, such as prescriptive models, descriptive models, and reinforcement learning approaches. On the demand side, flight runway …

Building Bridges: The Reference Interview As A Mechanism For Social Capital In School Libraries, Jessica M. Lilly

Learning Hub

Building Bridges: The Reference Interview as a Mechanism for Social Capital in School Libraries

Abstract

School librarians occupy a unique position within schools, interacting across all stakeholder groups and serving as a conduit between students, teachers, administrators, and the broader learning community. This article examines the reference interview not merely as a transactional information-retrieval tool but as a relational practice through which school librarians generate, sustain, and distribute social capital. Drawing on the foundational theories of Putnam (2000), Coleman (1988), and Bourdieu (1986), and on the reference transaction model grounded in Jesse H. Shera's foundational work (Coleman et al., …

Users’ Searching Preferences In Accessing The E-Library Resources Of The Federal University Of Lafia, Nigeria, Alice Olije Odu, Samuel Otsonu Aboh, Olumide Johnson Akanmidu, Grace Sewuese Ape

Library Philosophy and Practice (e-journal)

Online information activities in the academic environment keeps getting better and easier thanks to the internet that forms part of regular source of connection between users and other information resources. Access to e- library resources are normally via computers and mobile technologies using local network or the internet connection. This makes searching from e-library resource more appealing to academic library users. However, libraries still experiencing low users’ patronage with the e-resource collection, hence this study is undertaken to ascertain the searching preference by the Students of the Federal University of Lafia to help devise better ways of meeting their information …

Constitutional Inferences On Emerging Technologies: Analyzing Government Overreach, The Fourth Amendment, And Democratic Process In The Age Of Artificial Intelligence, Alan To

McNair Research Journal SJSU

The rapid adoption of artificial intelligence (AI) and machine learning (ML)

technologies by federal agencies presents novel constitutional questions that

existing legal doctrine has not yet adequately addressed. This paper

examines the emerging constitutional dimensions of the 2026 conflict

between Anthropic and the Department of Defense (DOD), in which the

Pentagon demanded unrestricted use of Anthropic's AI model Claude for

domestic mass surveillance and autonomous weapons systems, ultimately

designating Anthropic a supply chain risk when the company refused.

Drawing on three salient constitutional frameworks, specifically the Fourth

Amendment doctrine established in Kyllo v. United States (2001) and

Carpenter v. United …

Explainable Multi-Agent Llm Framework For Phishing Email Detection Via Role-Specialized Evidence Decomposition, Tanya Yadav, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Phishing email remains a persistent and operationally critical cybersecurity threat, yet existing detection approaches, including traditional machine learning and single-pass large language model systems, either lack native interpretability or provide explanations that are difficult to standardize and audit. This paper introduces an explainable multi-agent LLM framework that decomposes phishing evidence across three role-specialized agents focused on linguistic patterns, psychological manipulation, and sender identity consistency. The framework then aggregates specialist outputs through schema-governed synthesis, enabling each intermediate and final decision to be structured, comparable, and auditable. The central contribution is the treatment of role-specialized evidence decomposition and explanation structure as first-class …

Enhancing Sustainability And Durability In Asphalt Pavements: Evaluating The Impact Of Low-Carbon Sulfur Polymer Modifiers And Reclaimed Asphalt Pavement, Mohammad Doroudgar, Shadi Saadeh, Elham Fini

Mineta Transportation Institute

The asphalt industry faces major challenges, including the need for pavements that last longer and are more sustainable, as traditional asphalt production is costly and has a high environmental impact. To address this, researchers have been exploring modified asphalt binders such as rubber, charcoal, and waste cooking oil, which have shown promise in extending the lifespan, resistance to deformation, and durability of asphalt pavements. In addition, governments and industries are investing in the use of recycled and “green” materials to reduce the carbon footprint and environmental degradation of conventional asphalt mixtures. Building on this momentum, this study investigates the performance …

A Framework For Enhancing Utilization Of Library Electronic Resources In Higher Institutions Of Learning, Niyonsaba Innocent, Atuha Peter, Natukunda Elizabeth, Arahe Turahe Glorious

Library Philosophy and Practice (e-journal)

Abstract

Electronic resources are now essential for teaching, learning, research and dissemination of knowledge in higher institutions of learning. Although many universities have invested heavily in digital collections, databases, electronic journals, electronic books, institutional repositories, and online reference services, the use of these resources is not as high as expected in many universities, especially in developing countries. Low awareness, lack of information literacy skills, limited technological infrastructure, poor internet connectivity, lack of training, and weak institutional support continue to impede the effective use of electronic resources. This is a review paper that explores the current state of electronic resource utilization …

Recent Changes In Global Ocean N2o Fluxes And Their Relationship To Ocean Climate Variability, Kai Ma, Manfredi Manizza, Yonglin Liu, Dimitris Menemenlis, Hanqin Tian, Kate Zhang, Qinghua Yang, Chuanyu Liu, Yang Feng

Faculty Research, Scholarly, and Creative Activity

While the ocean is a critical regulator of atmospheric nitrous oxide (N2O) levels, its specific contribution remains poorly constrained. Here, we implemented an N2O module into the Estimating Circulation and Climate of the Ocean-Darwin (ECCO-Darwin) to investigate global sea-air N2O fluxes, trends and interannual variabilities. From 1992 to 2017, the model yielded a global the oceanic N2O efflux of 2.43 ± 0.43 Tg N yr⁻¹, with a declining trend of −0.021 ± 0.0031 Tg N yr⁻², attributed mainly to a reduction in N2O production induced by strengthened upper-ocean stratification. The Eastern Tropical Pacific (ETP), Indian Ocean …

Assessment Of The Status Of Open Access Publications In Central Universities Of India: A Review Of Literature, Gulam Jilani, Swapna Banerjee

Library Philosophy and Practice (e-journal)

Unrestricted access to research outputs and increased exposure and distribution of academic information are two benefits of Open Access (OA) publication, which has emerged as a revolutionary method to scholarly communication. With an emphasis on its economic models, international and Indian publishing trends, institutional activities, regulations, and researcher attitudes, this study explores the literature on open access publishing. The paper examines many OA models, such as gold, green, hybrid, bronze, and diamond access, emphasizing their benefits, drawbacks, and implications for the fair distribution of information. The expansion of open access publication in India and throughout the world is also covered, …

User Interaction, Service Effectiveness And Digital Resource Utilization In Private University Libraries Telangana State: An Empirical Study, Chandra Chary Sreeramoj, Sadik Batcha Dr. M.

Library Philosophy and Practice (e-journal)

The purpose of this study is to observe the operational design, cognizance levels, complications faced and complete fulfillment of users regarding numerical resources in designated private university libraries in the state of Telangana. The study predominantly emphasizes on graduates, postgraduates, research scholars, and faculty members of Malla Reddy University and S.R. University. The study adopted quantitative descriptive design, and data were collected by means of a Google Form survey, resulting in 1796 legal valid responses. The examination included descriptive statistics, Chi-square tests and ANOVA to classify variances across different user groupings. The outcomes reveal that most respondents are mindful of …

Non-Negotiable Responsibilities Of Librarians Despite The Presence Of Generative-Ai Powered Chatbots: An Overview, Emmanuel Chidiadi Onwubiko

Library Philosophy and Practice (e-journal)

The presence of AI-Chatbots as linguistic models of Generative AI is one that has sent cold in the spines of librarians for the fear of the unknown.  Against this backdrop, it is received with mixed feelings.  To some librarians, it poses threats to their traditional responsibilities hence the fear of losing their jobs.  This paper conceptualizes the place of generative-AI Chatbots in libraries and their limitations, identifying some non-negotiable responsibilities of librarians regardless of the emergence of AI-Chatbots as well as clearing some doubts as expressed by librarians by reconciling the impacts of Chatbot and how librarians can leverage the …

The Shrinking Caspian Sea: Eco-Hydrological Responses To Human And Climate Pressures, Jesse Duku, Mohammad J. Tourian, Marzi Azarderakhsh, Rovshan Abbasov, Ali Mehran, Ali Torabi Haghighi, Stefanos Xenarios, Azara Boschee, Salih Babagiray, Mojtaba Sadegh, Nima Shokri, Ali Nazemi, Alireza Farahmand, Samaneh Ashraf, Temur Khujanazarov, Elmira Hassanzadeh, Dalal Najib, Daniel Placht, Shamshagul Mashtayeva, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

The Caspian Sea, the Earth's largest inland water body, faces water level decline, drawing comparisons to the collapse of the Aral Sea. Unlike the Aral Sea, the relative roles of climatic variability, hydrological changes, and anthropogenic pressures on the Caspian Sea remain poorly understood. Here, we integrate satellite observations, in situ hydrological records and reanalysis data to examine recent drivers of the Caspian water loss. We show that total river inflow to the Caspian Sea has declined significantly, primarily due to reduced discharge from the Volga River. At the same time, precipitation over the basin has remained broadly stable, while …

Performance Comparison Of Machine Learning Across Metal, Cuda, And Software-Based Neuromorphic Simulation, Ryan Saini, William B. Andreopoulos

Faculty Research, Scholarly, and Creative Activity

Machine learning’s computational demands necessitate optimal performance and utilization across diverse hardware architectures. This research compares computing as spiking neural networks (CSNNs, or simulated neuromorphic computing) and regular CNNs on Apple Silicon M3 Pro with Metal Performance Shaders (MPS), and NVIDIA RTX 3070 GPU with CUDA. We run Convolutional Spiking Neural Networks (CSNNs) and traditional CNNs on two datasets (frame-based CIFAR-10; and sequential event-based DVS) to evaluate the suitability of neural net architectures and platforms for different data problems. For both CSNNs and traditional CNNs, Apple Silicon with MPS delivers better energy efficiency but longer processing times for training and …