Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Social and Behavioral Sciences (21789)
- Communication (12325)
- Journalism Studies (12079)
- Mass Communication (12071)
- Library and Information Science (7970)
-
- Scholarly Communication (2327)
- Information Literacy (1429)
- Collection Development and Management (1295)
- Cataloging and Metadata (1094)
- Arts and Humanities (1087)
- Education (874)
- Public Affairs, Public Policy and Public Administration (870)
- Physical Sciences and Mathematics (850)
- Engineering (636)
- Medicine and Health Sciences (597)
- Transportation (574)
- Computer Sciences (504)
- Sociology (408)
- Business (357)
- Nursing (314)
- Scholarly Publishing (301)
- Computer Engineering (268)
- Life Sciences (258)
- Law (257)
- Higher Education (228)
- Race, Ethnicity and Post-Colonial Studies (208)
- Philosophy (176)
- Archival Science (160)
- Astrophysics and Astronomy (156)
- Other Computer Engineering (147)
- Keyword
-
- Spartan Daily (12028)
- Newspaper (11671)
- Newspapers (371)
- Nigeria (303)
- Bibliometrics (298)
-
- Library (253)
- Scientometrics (221)
- Information (217)
- Libraries (193)
- Academic libraries (188)
- Librarians (180)
- Publications (155)
- COVID-19 (154)
- Academic Libraries (151)
- India (142)
- Bibliometric (138)
- Education (137)
- ICT (124)
- Social media (120)
- Pakistan (115)
- Library services (114)
- Students (111)
- Articles (110)
- Awareness (110)
- Scopus (108)
- Psychology (98)
- Library Services (96)
- Research (96)
- Information literacy (95)
- Utilization (95)
- Publication Year
- Publication
-
- Spartan Daily (School of Journalism and Mass Communications) (11107)
- Library Philosophy and Practice (e-journal) (6975)
- Faculty Research, Scholarly, and Creative Activity (1161)
- Faculty Publications (1146)
- Master's Projects (1045)
-
- Master's Theses (999)
- Mineta Transportation Institute (601)
- School of Information Student Research Journal (177)
- Doctoral Projects (172)
- Comparative Philosophy (160)
- The Contemporary Tax Journal (155)
- SWITCH (140)
- Dissertations (132)
- NACCS Annual Conference Proceedings (124)
- Themis: Research Journal of Justice Studies and Forensic Science (118)
- State College Times, 1933 (117)
- Faculty and Staff Publications (106)
- State College Times, 1932 (105)
- Faculty Publications, Biological Sciences (86)
- Spartan Daily, 2018 (84)
- Spartan Daily, 2021 (84)
- Spartan Daily, 2025 (83)
- Spartan Daily, 2017 (82)
- Spartan Daily, 2019 (81)
- Spartan Daily, 2020 (79)
- Spartan Daily, 2023 (79)
- Spartan Daily, 2022 (78)
- Asian American Literature: Discourses & Pedagogies (77)
- Spartan Daily, 2016 (75)
- Spartan Daily, 2024 (67)
- Publication Type
- File Type
Articles 511 - 540 of 27877
Full-Text Articles in Entire DC Network
Full Circle, Full Century: An Interview With Mitsuye Yamada, Noelle Brada-Williams, Elizabeth J. Asborno
Full Circle, Full Century: An Interview With Mitsuye Yamada, Noelle Brada-Williams, Elizabeth J. Asborno
Asian American Literature: Discourses & Pedagogies
No abstract provided.
Spartan Daily, October 8, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 8, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 20
Spartan Daily, October 7, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 7, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 19
Ainr: Automated Intrinsic Non-Rigid Registration For Accuracy Qualification Of Complex Freeform Products In 3d Printing, Weizhi Lin, Qiang Huang
Ainr: Automated Intrinsic Non-Rigid Registration For Accuracy Qualification Of Complex Freeform Products In 3d Printing, Weizhi Lin, Qiang Huang
Faculty Research, Scholarly, and Creative Activity
Non-rigid shape registration identifies the optimal non-rigid transformation between an actual product and its intended design to characterize their geometric dissimilarities. This transformation is usually determined by iteratively minimizing point-wise distances to match points with point-wise rigid motion. However, freeform products may exhibit complex spatial patterns of shape deviation, leading to premature iteration termination due to tradeoffs among local regions. One solution is to segment the complex design into semantic features and perform segment-wise rigid registration. Segment boundaries are typically placed along high-curvature regions, where deviations are more likely occur in 3D printing. However, since boundaries are generally more prone …
Discriminative Regions And Adversarial Sensitivity In Cnn-Based Malware Image Classification, Anish Roy, Fabio Di Troia
Discriminative Regions And Adversarial Sensitivity In Cnn-Based Malware Image Classification, Anish Roy, Fabio Di Troia
Faculty Research, Scholarly, and Creative Activity
The escalating prevalence of malware poses a significant threat to digital infrastructure, demanding robust yet efficient detection methods. In this study, we evaluate multiple Convolutional Neural Network (CNN) architectures, including basic CNN, LeNet, AlexNet, GoogLeNet, and DenseNet, on a dataset of 11,000 malware images spanning 452 families. Our experiments demonstrate that CNN models can achieve reliable classification performance across both multiclass and binary tasks. However, we also uncover a critical weakness in that even minimal image perturbations, such as pixel modification lower than 1% of the total image pixels, drastically degrade accuracy and reveal CNNs’ fragility in adversarial settings. A …
Spartan Daily, October 2, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 2, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 18
Sjsu Erfa News, Fall 2025, San Jose State University, Emeritus And Retired Faculty Association
Sjsu Erfa News, Fall 2025, San Jose State University, Emeritus And Retired Faculty Association
Emeritus and Retired Faculty Association (ERFA) Newsletter
Volume 39, No 1
Spartan Daily, October 1, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, October 1, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 17
Robust Hashing For Improved Cnn Performance In Image-Based Malware Detection, Sanket Shekhar Kulkarni, Fabio Di Troia
Robust Hashing For Improved Cnn Performance In Image-Based Malware Detection, Sanket Shekhar Kulkarni, Fabio Di Troia
Faculty Research, Scholarly, and Creative Activity
This paper presents a comparative study on the impact of robust hashing in enhancing image-based malware classification. While Convolutional Neural Networks (CNNs) have shown promise when working with image-based malware samples, their performance degrades significantly when obfuscation techniques are taken into consideration to hamper the malware classification or detection. To address this, we apply a robust hashing technique that generates invariant visual representations of malware samples, enabling improved generalization under obfuscation implemented as image salting. Using a custom obfuscation method to simulate polymorphic variants, we evaluate MobileNet, ResNet, and DenseNet architectures across five salting conditions (0% to 40%). The results …
Frameworks And Life Cycle Assessment For Reinforced Concrete Bridges For Sustainability In Transportation, Yu-Fu Ko, Jessica Gonzalez
Frameworks And Life Cycle Assessment For Reinforced Concrete Bridges For Sustainability In Transportation, Yu-Fu Ko, Jessica Gonzalez
Mineta Transportation Institute
Bridge structures are critical components of California’s transportation network, with reinforced concrete (RC) bridges being among the most widely used. Extending the lifespan of these structures can lead to significant reductions in environmental impacts. However, California’s frequent seismic activity has repeatedly exposed the vulnerability of existing RC bridges, highlighting the urgent need for seismic retrofitting and maintenance to improve infrastructure resilience against earthquakes and to increase sustainability. This research used detailed computer simulations known as nonlinear finite element models, which are highly detailed computer models, incorporating section damage indices to predict damage and assess structural deficiencies in RC bridges during …
A Holistic Inquiry Of Intelligent Speed-Assist Technology: Safety Impacts, Technology Implementation, And Challenges, Sahar Ghanipoor Machiani, Nusheen Baradaran, Arash Jahangiri
A Holistic Inquiry Of Intelligent Speed-Assist Technology: Safety Impacts, Technology Implementation, And Challenges, Sahar Ghanipoor Machiani, Nusheen Baradaran, Arash Jahangiri
Mineta Transportation Institute
Speeding is a leading contributor to roadway fatalities in the United States, and California consistently ranks among states with the highest number of speed-related crashes. Intelligent Speed Assistance (ISA) technology has emerged as a solution aimed at mitigating this issue by notifying drivers of speed limits and, in some cases, intervening and lowering the speed to the posted speed limit. This work presents a comprehensive investigation into ISA system safety benefits, implementation challenges, and public perception, with a focus on California drivers. This study utilized a multi-method approach. A literature review explores the history, regulatory barriers, and international trails of …
Wildfire Emergency Response And Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian
Wildfire Emergency Response And Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian
Mineta Transportation Institute
Wildfires are escalating in frequency and severity due to climate change, posing increasing threats to human life, infrastructure,and ecosystems. Traditional wildfire management systems struggle to respond effectively to rapidly evolving fire conditions. This research presents a novel, AI-powered Wildfire Emergency Response and Evacuation Framework that integrates autonomous unmanned aerial vehicles (UAVs, AKA “drones”), multi-sensor data fusion, and machine learning (ML) for real-time fire detection, evacuation planning, and search and rescue (SAR) operations. Central to the system is the Dynamic Wildfire Response Algorithm (DWRA), a hybrid decision-making framework combining AI-driven techniques including reinforcement learning (RL), genetic algorithms (GA), and deep learning …
Best Practices In Marketing And Creative Outreach For New Transportation Technologies, William Riggs, Caillou Dasalla, Cayden Rooney, Vaasu Bhartia
Best Practices In Marketing And Creative Outreach For New Transportation Technologies, William Riggs, Caillou Dasalla, Cayden Rooney, Vaasu Bhartia
Mineta Transportation Institute
Emerging transportation technologies—including electric vehicles (EVs), micromobility solutions, autonomous vehicles (AVs), hyperloop systems, and mobility-as-a-service (MaaS) platforms—are rapidly reshaping mobility patterns and urban environments. As these innovations gain traction, it becomes increasingly important to address concerns, communicate advantages, and foster trust across communities. This project examines marketing best practices for promoting emerging mobility solutions, synthesizing insights from scholarly research, industry standards, and case studies of successful campaigns. Emphasis is placed on the shift toward “snackable,” visually engaging content delivered through widely used social media platforms such as TikTok, Instagram, and Snapchat, which are increasingly central to reaching diverse audiences. The …
Spartan Daily, September 30, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 30, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 16
Converse Of Ptolemy’S Theorem, Hidefumi Katsuura
Converse Of Ptolemy’S Theorem, Hidefumi Katsuura
Faculty Research, Scholarly, and Creative Activity
In The Almagest, we found the original Ptolemy’s theorem and its proof, and we compared it to “Ptolemy’s theorem” written in two modern geometry textbooks. They are different in that the new ones include the “converse” of the original one. We noticed the hypothesis of the “converse” can be interpreted in two ways. Using this as our motivation, we establish a new theorem related to Ptolemy’s theorem in this note as follows: If four distinct points A, B, C, D are given in the three-dimensional space so that ABC is a triangle, and if |AB||CD|+|AD||BC|=|AC||BD|, then the points A, B, …
Between Two Worlds: Nationality And Identity In Korean Immigrants – A Qualitative Exploration Of A Sense Of Belonging In California, The United States, Chulwoo Park, Patricia Angelica
Between Two Worlds: Nationality And Identity In Korean Immigrants – A Qualitative Exploration Of A Sense Of Belonging In California, The United States, Chulwoo Park, Patricia Angelica
Faculty Research, Scholarly, and Creative Activity
Background: Korean immigrants are among the top five Asian immigrant groups in California. Many came to the United States with a visa or green card, and later some became U.S. citizens. One’s nationality refers to the country of their legal citizenship, but it is often also the country where they were born. As some people renounce their citizenship from their country of origin, the impact of nationality on identity and the influence of identity on nationality have yet to be studied. Methods: We conducted a qualitative study using semi-structured, in-depth interviews between March 2023 and July 2023. A total of …
Spartan Daily, September 25, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 25, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 15
Synthetic Social Engineering Scenario Generation Using Llms For Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, Sayma Akther
Synthetic Social Engineering Scenario Generation Using Llms For Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, Sayma Akther
Faculty Research, Scholarly, and Creative Activity
Social engineering is found in a strong majority of cyberattacks today, as it is a powerful manipulation tactic that does not require the technical skills of hacking. Calculated social engineers utilize simple communication to deceive and exploit their victims, all by capitalizing on the vulnerabilities of human nature: trust and fear. When successful, this inconspicuous technique can lead to millions of dollars in losses. Social engineering is not a one-dimensional technique; criminals often leverage a combination of strategies to craft a robust yet subtle attack. In addition, offenders are continually evolving their methods in efforts to surpass preventive measures. A …
Spartan Daily, September 24, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 24, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 12
Novel Biological Prompting Technology: Automatic Directional Control By Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, Yue Luo
Novel Biological Prompting Technology: Automatic Directional Control By Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, Yue Luo
Faculty Research, Scholarly, and Creative Activity
Biological prompting or human teleoperation have been appealing to many researchers lately. Hands-free and voice-free command or control of vehicles, aircraft, machines, robots, etc. would provide huge convenience to users and allow them for multi-tasking. In this work, we would like to dedicate to a new biological prompting function, namely automatic directional control using instantaneous eye gaze data. In this work, we would like to investigate how to apply advanced machine-learning models to design novel automatic gaze-direction identification techniques. We explore the difficulty, namely infliction with outliers and variations, in dealing with eye-tracking data and propose to transform the original …
Hypoxia Exposure Fine-Tunes Mitochondrial Function In Sea Turtle Cells, B. Gabriela Arango, David C. Ensminger, Dianna Xing, Céline A. Godard-Codding, José Pablo Vázquez-Medina
Hypoxia Exposure Fine-Tunes Mitochondrial Function In Sea Turtle Cells, B. Gabriela Arango, David C. Ensminger, Dianna Xing, Céline A. Godard-Codding, José Pablo Vázquez-Medina
Faculty Research, Scholarly, and Creative Activity
Abstract: Sea turtles experience extreme fluctuations in oxygen levels derived from extended breath-hold diving, yet the cellular adjustments underlying hypoxia tolerance in these animals remain poorly understood. Here, we employed metabolite profiling, extracellular flux assays and microscopy analyses of the mitochondrial reticulum to investigate how primary cells derived from sea turtles and lizards cope with extended hypoxia exposure. Cells from both species proliferate in primary culture, stain positive for fibroblast markers, are metabolically active and stabilize HIF1-α when exposed to chemical or environmental hypoxia. In contrast to lizard cells, sea turtle cells exhibit a faster and more robust response to …
The Contemporary Tax Journal Volume 13, No. 2 – Winter 2024
The Contemporary Tax Journal Volume 13, No. 2 – Winter 2024
The Contemporary Tax Journal
No abstract provided.
The Contemporary Tax Journal’S Interview With Mr. David Forst, Shuang Zhang
The Contemporary Tax Journal’S Interview With Mr. David Forst, Shuang Zhang
The Contemporary Tax Journal
No abstract provided.
The Second Annual Blockchain Tax Conference On January 24, 2025: Legislative Update – Tax And Non–Tax, Shuang Zhang
The Second Annual Blockchain Tax Conference On January 24, 2025: Legislative Update – Tax And Non–Tax, Shuang Zhang
The Contemporary Tax Journal
No abstract provided.
The Deductibility Of Scam Losses: Cca 202511015, Jing Luo
The Deductibility Of Scam Losses: Cca 202511015, Jing Luo
The Contemporary Tax Journal
No abstract provided.
Spartan Daily, September 18, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 18, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 12
Spartan Daily, September 23, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 23, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 12
Front Matter (Letter From The Editor, Masthead, Etc.)
Front Matter (Letter From The Editor, Masthead, Etc.)
The Contemporary Tax Journal
No abstract provided.
The Second Annual Blockchain Tax Conference On January 24, 2025: Overview Of Blockchain Technology And Why It Matters For Tax, Sviatlana Yakavets
The Second Annual Blockchain Tax Conference On January 24, 2025: Overview Of Blockchain Technology And Why It Matters For Tax, Sviatlana Yakavets
The Contemporary Tax Journal
No abstract provided.
Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal
Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal
Faculty Research, Scholarly, and Creative Activity
This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and comprehensive coverage analysis. A case study using the Seek by iNaturalist application demonstrates the framework’s applicability to real-world CV tasks. It effectively identifies species and non-species under varying image conditions such as distance, blur, brightness, and grayscale. This study contributes a structured methodology that advances our academic understanding of model-based CV testing while offering practical tools for improving the robustness and reliability of AI-driven vision applications.