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Performance Comparison Of Machine Learning Across Metal, Cuda, And Software-Based Neuromorphic Simulation, Ryan Saini, William B. Andreopoulos Jun 2026

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 …

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Revisiting Representation Learning For Natural Language Processing From The Fundamentals For Misinformation Detection, Vishnu S. Pendyala Jun 2026

Revisiting Representation Learning For Natural Language Processing From The Fundamentals For Misinformation Detection, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

While existing language embeddings achieve high accuracy on benchmark tasks, recent studies suggest they often struggle to distinguish true from false statements. This work argues that new representation learning and aggregation strategies are needed, especially those that adapt to misinformation's evolving patterns and incorporate explainability. As a first step, we explore two directions: (1) aggregation strategies inspired by signal processing, where word embeddings are transformed into spectrogram-like representations for classification to overcome context window limitations, and (2) future extensions using dynamic neural architectures such as Neural ODEs, Liquid Time-Constant Networks (LTCs), Kolmogorov-Arnold Networks (KANs), and Legendre Memory Units (LMUs). Preliminary …

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User Interaction, Service Effectiveness And Digital Resource Utilization In Private University Libraries Telangana State: An Empirical Study, Chandra Chary Sreeramoj, Dr. M. Sadik Batcha Jun 2026

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

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 …

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What To Expect When You’Re Expecting Passenger Rail: How Central Valley Communities Are Preparing For High-Speed Rail, Josephine K. Hazelton-Bpyle, Naomi Bick Jun 2026

What To Expect When You’Re Expecting Passenger Rail: How Central Valley Communities Are Preparing For High-Speed Rail, Josephine K. Hazelton-Bpyle, Naomi Bick

Mineta Transportation Institute

Approved by California voters in 2008, the California High-Speed Rail (CAHSR) project is a planned 800-mile rail corridor across California aimed at delivering intercity passenger rail service to the state’s largest metropolitan areas. This was the first voter-approved high-speed rail project in the United States and remains one of its most contentious. The first phase of the project’s construction is currently underway in California’s Central Valley, including many communities that initially opposed CAHSR. While supporters champion increased connectivity and the provision of environmentally sustainable transportation alternatives, critics contend the project’s benefits will not outweigh its environmental costs and economic disruptions. …

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Designing Captcha Systems With Reinforcement Learning For Adaptive Defense, Meghana Indukuri, Eman Naseerkhan, Joshua Rose, Martin Tran, Younghee Park May 2026

Designing Captcha Systems With Reinforcement Learning For Adaptive Defense, Meghana Indukuri, Eman Naseerkhan, Joshua Rose, Martin Tran, Younghee Park

Faculty Research, Scholarly, and Creative Activity

CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) systems remain a widely deployed defense against automated abuse, but advances in machine learning have reduced the effectiveness of traditional challenge-based designs and exposed limitations in proprietary risk-scoring systems. This paper presents an adaptive, reinforcement learning-based CAPTCHA defense framework for high-security web applications. The proposed system formulates bot detection as a partially observable Markov decision process and uses a Proximal Policy Optimization (PPO) agent with Long Short-Term Memory to analyze streamed behavioral telemetry, including mouse movements, clicks, keystrokes, and scrolling, over sequential interaction windows. During the observation phase, …

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Electron And Hole Surface Roughness Scattering-Limited Mobilities In Oxygen-Inserted (Oi) Si Channel, Vikram Magendar, Yi Ann Chen, Albert Lu, Donghun Kang, Daniel Connelly, Marek Hytha, Hideki Takeuchi, Robert Mears, Hiu Yung Wong May 2026

Electron And Hole Surface Roughness Scattering-Limited Mobilities In Oxygen-Inserted (Oi) Si Channel, Vikram Magendar, Yi Ann Chen, Albert Lu, Donghun Kang, Daniel Connelly, Marek Hytha, Hideki Takeuchi, Robert Mears, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

The electron and hole surface roughness scattering (SRS)-limited mobilities, deconvolved from 4.2 K measurements, were compared between oxygen-inserted (OI) and control Si channel for n- and pMOSFETs. It was found that electron SRS-limited mobility in the OI-Si channel is 55% higher, whereas hole SRS-limited mobility is comparable to the control. To elucidate the difference, the Si/Si O2 interface roughness and the nanoscale thickness variation of the gate oxide were analyzed in detail, via high-resolution transmission electron microscopy images, and fed into numerical calculation of the SRS-limited mobility. The power spectral densities (PSDs) based on the Yule–Walker autoregressive model revealed that …

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Cloud-Based Ai Framework For Ev Charging Forecasting And Infrastructure Optimization, Jerry Gao, Neeraja Abhinav Buch, Thuan Chau, Yumeng Sheng, Rong Wang, Siri Kadalbal May 2026

Cloud-Based Ai Framework For Ev Charging Forecasting And Infrastructure Optimization, Jerry Gao, Neeraja Abhinav Buch, Thuan Chau, Yumeng Sheng, Rong Wang, Siri Kadalbal

Faculty Research, Scholarly, and Creative Activity

The growing use of electric vehicles (EVs) has created a strong need for smart, data-driven charging management systems that can support large-scale and sustainable infrastructure. This study introduces a modular cloud-based framework that combines artificial intelligence and machine learning to provide predictive insights for energy demand and station expansion. The system mainly consists of two complementary models. The first is an AutoRegressive Integrated Moving Average (ARIMA) model that forecasts charging energy demand using transactional data from Palo Alto. The second is a Light Gradient Boosting Machine (LightGBM) model that predicts optimal charging-station locations using spatial data from the U.S. Department …

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Librarians As Guardians Of Knowledge: Artificial Intelligence And The Future Of Librarianship, Michelle Q. Zeren, Alex D. Mcallister Ed.D May 2026

Librarians As Guardians Of Knowledge: Artificial Intelligence And The Future Of Librarianship, Michelle Q. Zeren, Alex D. Mcallister Ed.D

Library Philosophy and Practice (e-journal)

This article examines librarianship in the new age of AI, specifically how librarians can enhance and improve upon their already unique responsibilities by expanding to new and exciting jobs requiring AI information integrity. Librarian roles are becoming more crucial to the information environment as they help people fully embrace and protect knowledge in a challenging world of AI. The authors explore the evolving librarian roles needed to safeguard unbiased AI oversight, protect patron privacy, teach proper AI ethical academic usage, and fact check research information to maintain ethical integrity in academic studies. Librarians must continue to evolve and embrace an …

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Exploring Clinical Ladder Program Participation Among Operating Room Nurses, Camille Sistoso-Lorenzana May 2026

Exploring Clinical Ladder Program Participation Among Operating Room Nurses, Camille Sistoso-Lorenzana

Doctoral Projects

Continuous professional development among nurses is vital, yet not all nurses embark on this career journey. The Clinical Ladder Program (CLP) is a retention strategy among various health institutions to retain talent and improve nurses' satisfaction, but this plan is unappealing or indifferent to some nurses. While the CLP is a motivation tool for nurses to focus on clinical expertise in bedside care (Riley et al., 2009), and resources are available to increase a nurse's chances of successfully advancing the ladder, participation in and perspectives on the CLP remain unknown, especially among operating room nurses. This project is guided by …

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The Effects Of Pesticide-Treated Pork Meat On Insect Colonization: Implications For Postmortem Interval Estimation In Forensic Investigations, Alejandra Veja May 2026

The Effects Of Pesticide-Treated Pork Meat On Insect Colonization: Implications For Postmortem Interval Estimation In Forensic Investigations, Alejandra Veja

Themis: Research Journal of Justice Studies and Forensic Science

Forensic entomologists estimate the postmortem interval (PMI) by analyzing insect colonization patterns on remains. Colonization can be influenced by factors such as state of decomposition, environment type, weather, and chemical exposure. Household products and pesticides may be used to conceal remains by delaying decomposition and preventing insect activity. Despite this, their impact on PMI estimation remains unclear. This study examined the effects of 98.11% DEET, 20% picaridin, and 20% IR3535 on insect colonization, compared to a control. Twelve boneless pork chops were placed outdoors in a suburban setting and monitored twice daily at 12-hour intervals. Results showed that high concentrations …

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Record Clearance: Practical And Essential Justice Reform, Brendan Krepchin May 2026

Record Clearance: Practical And Essential Justice Reform, Brendan Krepchin

Themis: Research Journal of Justice Studies and Forensic Science

Record clearance is the process of expunging and reducing offenses listed on an individual’s Record of Arrests and Prosecutions (RAP). The current regime of laws surrounding the issue of record clearance is a patchwork of state laws that permit and restrict the process depending on the offense, the sentence, and multiple factors pertaining to the judicial process. The mere existence of a RAP sheet creates barriers to achieving any number of goals established at the individual or societal level. This article argues that record clearance should be universally proportional to circumstances across all levels of the justice system, as it …

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Depth-Dependent Suppression Of Bipolar Degradation In 4h-Sic Diodes Via Proton Implantation And Evaluation Of Safe Operating Current Density Range, Atsushi Shimbori, Ryota Wada, Nobuhiro Tokoro, Takashi Kuroi, Hiu Yung Wong, Alex Q. Huang May 2026

Depth-Dependent Suppression Of Bipolar Degradation In 4h-Sic Diodes Via Proton Implantation And Evaluation Of Safe Operating Current Density Range, Atsushi Shimbori, Ryota Wada, Nobuhiro Tokoro, Takashi Kuroi, Hiu Yung Wong, Alex Q. Huang

Faculty Research, Scholarly, and Creative Activity

This work explores the role of implantation depth in suppressing bipolar degradation of 4H-SiC PiN diodes through proton implantation. Targeting depths aligned with active basal plane dislocations (BPDs) effectively reduces stacking-fault expansion, as confirmed by electroluminescence imaging [1,2]. From these observations, we quantified the effective range of suppression in both depth and safe operating current density. Room-temperature proton implantation (170keV, 1×1016 cm-2) into the buffer reduced forward-voltage drift ΔVF by 97% at 600A/cm2 . The implanted diode extended the safe operating current range to 1300A/cm2, ~200A/cm2 higher than the reference, confirming effective suppression …

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Is Panic Over E-Bike Safety Justified? A Review Of The Literature And Comparative Analysis With Conventional Bicycles And E-Scooters, Amir Ghanbari, Asha Weinstein Agrawal, Kevin Fang May 2026

Is Panic Over E-Bike Safety Justified? A Review Of The Literature And Comparative Analysis With Conventional Bicycles And E-Scooters, Amir Ghanbari, Asha Weinstein Agrawal, Kevin Fang

Faculty Research, Scholarly, and Creative Activity

The increasing popularity of e-bikes has prompted global concerns about their safety. This literature review synthesizes English-language literature on e-bike safety, focusing on publication trends, data sources, major themes, and comparisons with human-powered bicycles and e-scooters. In total, 197 studies published between 2009 and June 2024 were reviewed. Research activity has expanded rapidly in recent years, with China and the United States emerging as the leading countries. Most studies examined rider demographics, crash involvement, rider behaviors, and comparisons with other traffic modes. The most common data sources were medical records, surveys, and naturalistic designs. Among studies comparing e-bike safety with …

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Hybrid Densenet-U-Net Framework For Automated Grading Of Renal Cell Carcinoma, Rohini Jadhav, Banani Mohapatra, Bhavnish Walia, Sital Dash, Kailas Patil, Shrikant Jadhav, Ishwari Rohit Raskar May 2026

Hybrid Densenet-U-Net Framework For Automated Grading Of Renal Cell Carcinoma, Rohini Jadhav, Banani Mohapatra, Bhavnish Walia, Sital Dash, Kailas Patil, Shrikant Jadhav, Ishwari Rohit Raskar

Faculty Research, Scholarly, and Creative Activity

Introduction: Precisely grading renal cell carcinoma (RCC) through histopathology slides is a requisite to predict the cancer prognosis and select treatments, however, there is a considerable variability in the assessment between observers. While some AI systems mainly rely on transformer-based and nuclei-centric models, they are computationally very demanding so their clinical use is thus limited. Hence, there is a need for practical and easy-to-understand solutions that can be integrated into digital pathology workflows. Methods: We built a hybrid framework that integrates U-Net-based tumor segmentation, convolutional feature extraction, nuclei-aware descriptors, stain normalization, and attention-based multiple instance learning for slide-level RCC grading. …

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A Novel Hybrid Dual-Stream Deep Learning Architecture Integrating Multi-State Lstm, Cnn, And Multi-Head Self-Attention For Water Level And Discharge Prediction (Missouri River Basin, Usa), Milad Ahmadi Gharehtoragh, Ali Mehran, Georgia Destouni, Alireza Taheri Dehkordi May 2026

A Novel Hybrid Dual-Stream Deep Learning Architecture Integrating Multi-State Lstm, Cnn, And Multi-Head Self-Attention For Water Level And Discharge Prediction (Missouri River Basin, Usa), Milad Ahmadi Gharehtoragh, Ali Mehran, Georgia Destouni, Alireza Taheri Dehkordi

Faculty Research, Scholarly, and Creative Activity

Study region: The Missouri River Basin, located between the states of Nebraska and Iowa, USA. Study focus: Water level (WL) and discharge (Q) are key hydrological variables, accurate prediction of which in both long-term and short-term (extreme events) scenarios is essential for water resources and flood risk management. We propose a novel hybrid deep learning architecture, CNN-NLSTM-SA, which integrates a Convolutional Neural Network (CNN) branch for extracting local features and a Multi-State LSTM (NLSTM) branch for capturing long-term temporal dependencies. NLSTM, with its child-parent structure, enhances memory propagation and mitigates vanishing and exploding gradients. The outputs of these two branches …

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Many-Body Benchmark Of Electronic Charge And Spin Densities For Li1–Xnio2, Abdul Ghaffar, Shenli Zhang, Liwen F. Wan, Kayahan Saritas, Fernando A. Reboredo, Jaron T. Krogel May 2026

Many-Body Benchmark Of Electronic Charge And Spin Densities For Li1–Xnio2, Abdul Ghaffar, Shenli Zhang, Liwen F. Wan, Kayahan Saritas, Fernando A. Reboredo, Jaron T. Krogel

Faculty Research, Scholarly, and Creative Activity

Accurate benchmarks are particularly important for highly correlated oxides as mean-field approximations often fail to describe the subtle balance of charge transfer and magnetism in these materials with an accuracy comparable to experimental needs. Here we present accurate diffusion Monte Carlo (DMC) results of the electronic charge and spin densities for the tunable highly correlated oxide Li1–xNiO2 for x = 0, 1/2, and 1. To enable quantitative comparisons, we introduce a robust density-partitioning scheme, extending Voronoi analysis to assign atomic charges from spatially noisy DMC densities. We then benchmark common approximations used in density functional theory (DFT). Comparison against DMC …

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Study Of Access Region Sheet Resistance In Superlattice U-Gan Hemt And Its Compact Modeling, Vikram Magendar, Hiu Yung Wong May 2026

Study Of Access Region Sheet Resistance In Superlattice U-Gan Hemt And Its Compact Modeling, Vikram Magendar, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Superlattice GaN structures are expected to have reduced on-state resistance due to the formation of multiple twodimensional electron gas (2DEG) channels in the access regions. The U-GaN structure, which has one channel in the gate region for normally-off operation, employs regrown Si-doped vertical GaN sidewalls to electrically connect multiple channels in the access regions. In this paper, an access region with thin superlattice layers, which is expected to have less relaxation and dislocations than the thicker one, is studied. Technology Computer-Aided Design (TCAD) simulations confirm the formation of multiple polarization-induced 2DEG channels. It is found that the equivalent access-region sheet …

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Exploring The Benefits Of Yoruba Indigenous Knowledge And The Herbal Medicine System, Sunday Opene Ozonuwe 7317673, Ayobami Aderonke Ogungbade, Faith Ohwofasa May 2026

Exploring The Benefits Of Yoruba Indigenous Knowledge And The Herbal Medicine System, Sunday Opene Ozonuwe 7317673, Ayobami Aderonke Ogungbade, Faith Ohwofasa

Library Philosophy and Practice (e-journal)

The Yoruba people are one of the West African's main ethno-linguistic or ethnic groups. They have an impressive indigenous knowledge and herbal medicinal system. They pre-occupied Oyo, Osun, Ekiti, Kwara, Ondo, Lagos and Koji state. The researchers developed seven (7) research objectives and seven (7) research questions to investigate the nature, forms, benefits and methods of preparing and administering Yoruba Herbal Medicine. Descriptive research design was adopted for the study, interviews and observations were the instruments used for data collections. Eight (8) herbal medicine practitioners were interviewed in Oyo and Ogun state. The result of the interviews was also presented …

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Ethical Issues In The Use Of Emerging Technologies In The Library, Funmilola Olubunmi Omotayo May 2026

Ethical Issues In The Use Of Emerging Technologies In The Library, Funmilola Olubunmi Omotayo

Library Philosophy and Practice (e-journal)

Digital tools and emerging technologies are transforming our world, including library settings. Libraries are shifting their collections from predominantly print publications to digital resources. Librarians have turned from an ethos of ownership and authority to service, guidance, and collaboration. From pedagogy to resource sharing, the success of many libraries relies upon diverse technologies and their widespread adoption. Librarians create technological processes, design resources, manage resources, and make use of diverse technologies to support library administration. Emerging technologies such as the Internet of Things, Artificial Intelligence and Robotics and Data mining and analytics tools are now being adopted for library administration. …

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Spartan Daily, May 7, 2026, San Jose State University, School Of Journalism And Mass Communications May 2026

Spartan Daily, May 7, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 43

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Building Nurse Managers’ Knowledge And Confidence To Lead Clinical Ladder Success: A Theoretically Informed Educational Framework, Michelle Joann Chlebinski May 2026

Building Nurse Managers’ Knowledge And Confidence To Lead Clinical Ladder Success: A Theoretically Informed Educational Framework, Michelle Joann Chlebinski

Doctoral Projects

Background: Clinical Ladder Programs (CLPs) offer a structured pathway for nursing professional growth, fostering clinical excellence while improving nurse satisfaction and longterm retention. Although nurse managers play a pivotal role in facilitating the CLP, there is currently no comprehensive educational framework to enhance their knowledge and confidence in supporting clinical ladder advancement. Purpose: The aim of this DNP project is to develop implement, and evaluate an educational framework grounded in Benner’s Novice-to-Expert framework and Watson Caring Science® to enhance nurse managers' knowledge and confidence in leading nurses towards clinical ladder success. Methods: In a quasi-experimental study using a single-group, pre-post …

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Sjsu Erfa Board Minutes, April 6, 2026, San Jose State University, Emeritus And Retired Faculty Association May 2026

Sjsu Erfa Board Minutes, April 6, 2026, San Jose State University, Emeritus And Retired Faculty Association

SJSU ERFA Minutes

SJSU ERFA Executive Board Minutes
April 6, 2026

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Statistical Cryogenic Characterization Of Commercial 14nm Finfets For Analog Applications, Wesley Xi, Le Minh Long Nguyen, Vikram Magendar, Hiu Yung Wong May 2026

Statistical Cryogenic Characterization Of Commercial 14nm Finfets For Analog Applications, Wesley Xi, Le Minh Long Nguyen, Vikram Magendar, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Cryogenic devices at 4.2K are indispensable in the control electronics for large-scale quantum computers. Due to its small manufacturing volume, a standard commercial foundry process is likely to be used in the near and medium terms. Moreover, 77K electronics are promising for high-speed server applications. Besides digital circuits, analog circuits with non-minimal channel length are particularly important in quantum computing control. In this paper, special structures are designed to characterize the device properties of medium- and long-channel length devices at 292K, 77K, and 4.2K in a commercial 14nm FinFET process. About 100 structures were measured for both NMOS and PMOS. …

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Steel Corrosion In Underground Transportation Infrastructure, Amr M. Morsy, Islam A. Ebo, Shiv K. Janardhanan May 2026

Steel Corrosion In Underground Transportation Infrastructure, Amr M. Morsy, Islam A. Ebo, Shiv K. Janardhanan

Mineta Transportation Institute

Corrosion of buried steel, a critical component of American transportation infrastructure, remains one of the most insidious challenges due to the uncertainty associated with its estimates. Predicting when and how this corrosion happens is very difficult. This uncertainty grows exponentially with time, making corrosion estimation in the long term even more challenging, especially with buried steel and steel structures, which cannot even be monitored visually. While significant advancement has been made to understand the effect of the various corrosion parameters on soil corrosivity, there is a lack of a comprehensive understanding of how these factors collectively contribute to corrosion as …

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Nurturing The Nurturers: Caritas Literacy Wellness Program, Pakeeza Ali May 2026

Nurturing The Nurturers: Caritas Literacy Wellness Program, Pakeeza Ali

Doctoral Projects

Burnout, compassion fatigue, and emotional exhaustion remain significant concerns among oncology staff in high-demand ambulatory settings. This quality improvement project implemented the Caritas Literacy and Resilience Training Program (CLARITY), a microlearning-based intervention grounded in Watson’s Caring Science Theory, to support self-caring behaviors and emotional resilience among oncology staff in an ambulatory cancer center. A quasi-experimental, mixed-methods design was used, incorporating pre- and post-intervention survey data and qualitative focus group feedback. Quantitative outcomes were assessed using the Watson Caritas Self-Rating Score (WCSR) and post-intervention ratings of perceived effectiveness of the microlearning format. Wilcoxon signed-rank tests were used to examine pre-post change …

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Ischool Student Research Journal, Vol.16, Iss.1 May 2026

Ischool Student Research Journal, Vol.16, Iss.1

School of Information Student Research Journal

No abstract provided.

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Ai Literacy In The Nursing Informatics Community: A Needs Assessment, Jerri Westphal May 2026

Ai Literacy In The Nursing Informatics Community: A Needs Assessment, Jerri Westphal

Doctoral Projects

Nursing informatics professionals are required to lead AI integration in healthcare, yet their baseline AI literacy, competency, and educational needs have not been formally assessed. This descriptive needs assessment examined AI literacy, competency, adoption readiness, and engagement among nursing informatics professionals, concurrently identifying educational priorities and preferred learning modalities. A cross-sectional survey was administered to members of the American Nursing Informatics Association (ANIA) and the broader community (N = 194). The N.U.R.S.E.S. framework (Hoelscher & Pugh, 2025) informed the survey instrument's domain structure. Five composite indices were developed: AI Familiarity, Knowledge, Attitude, Competency, and Use. Descriptive statistics and Pearson correlation …

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Nevis Digital Twin: Photogrammetry And Immersive Visualization Of Historical Sites, Alex Apffel, Huy Tran, Vuthea Chheang May 2026

Nevis Digital Twin: Photogrammetry And Immersive Visualization Of Historical Sites, Alex Apffel, Huy Tran, Vuthea Chheang

Faculty Research, Scholarly, and Creative Activity

In this work, we present a multimodal data acquisition workflow for the digital preservation and virtual reconstruction of at-risk historical sites in the island of Nevis. Facing threats from coastal erosion, rising sea levels, and aggressive vegetation, the archaeological heritage of Nevis requires documentation strategies that bridge the gap between high-cost professional surveying and consumer accessibility. Experimental test compared acquisition variables, specifically camera height (1 m vs. 3 m) and operator trajectory against highresolution control data. Moreover, we explore the virtual reconstruction between mesh reconstruction and 3D gaussian splatting to serve as different modalities for documentation. The resulting data is …

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Use And Awareness Of Online Resources In University Libraries, Rudraksha Gouridevi May 2026

Use And Awareness Of Online Resources In University Libraries, Rudraksha Gouridevi

Library Philosophy and Practice (e-journal)

The study of the use and awareness of online resources in university libraries. The study used a survey to collect primary data. A questionnaire was used to collect primary data from library users (undergraduate, postgraduate students, and research scholars) in selected university libraries, both public and Deemed University libraries, in Andhra Pradesh. The study covered four university libraries. Out of the total number of students and research scholars (25266) from the four universities. In this study, only 10 percent of the respondents were selected as the survey sample. The study indicated that the highest rate of users are accessing the …

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Human And Geographic Dimensions Of Heat Risk: Progress, Challenges, And Opportunities, Olga V. Wilhelmi, Mary H. Hayden, Peter D. Howe, Jennifer K. Vanos, Sara Meerow, Dana Habeeb, V. Kelly Turner, Cenlin He, Ulrike Passe, Tian Yao, Rodrigo Leal, Rajesh Kumar, Benjamin Crawford, Kevin Lanza, Alamin Molla, Andrew J. Newman, Amanda L. Laverty, Jean Claude Iradukunda, Carly Frank, Tammie Visintainer Apr 2026

Human And Geographic Dimensions Of Heat Risk: Progress, Challenges, And Opportunities, Olga V. Wilhelmi, Mary H. Hayden, Peter D. Howe, Jennifer K. Vanos, Sara Meerow, Dana Habeeb, V. Kelly Turner, Cenlin He, Ulrike Passe, Tian Yao, Rodrigo Leal, Rajesh Kumar, Benjamin Crawford, Kevin Lanza, Alamin Molla, Andrew J. Newman, Amanda L. Laverty, Jean Claude Iradukunda, Carly Frank, Tammie Visintainer

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

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