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Articles 301 - 330 of 11655
Full-Text Articles in Entire DC Network
Machine Learning For Dissolved Oxygen Prediction In The Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, Oluwarotimi S. Oladele
Machine Learning For Dissolved Oxygen Prediction In The Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, Oluwarotimi S. Oladele
Faculty Research, Scholarly, and Creative Activity
Uncontrolled anthropogenic activities have increased river pollution, resulting in poor water quality and a growing need for continuous monitoring, which is time-consuming and costly. This study evaluated the accuracy of machine learning (ML) models in predicting dissolved oxygen (DO) levels, aiming to reduce field monitoring efforts and minimize the number of measured parameters. Regression models (Huber, Linear, Ridge), Bagging methods (Extra Trees, Random Forest, Decision Trees), and Boosting techniques (Gradient Boosting, Light Gradient Boosting, AdaBoost) were tested using data from three sites in the Manawatu Catchment, New Zealand. Data spanning 1989–2014 included 12 water quality variables and was split into …
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, …
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
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 …
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
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.
Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare
Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare
Faculty Research, Scholarly, and Creative Activity
Highlights: What are the main findings? A smart transport management system based on UAV data integrating advanced machine learning and deep learning techniques is proposed to enhance road anomaly detection and severity classification. The system employs a comprehensive multi-stage framework, integrating a high-precision obstacle detection model, six specialized severity classification models, and an aggregation model to deliver accurate anomaly assessment, enabling strategic, data-driven road maintenance and enhanced transportation safety. What is the implication of the main finding? A scalable and efficient solution is proposed to enhance road safety and optimize transportation management through intelligent anomaly detection and severity assessment. This …
Spartan Daily, September 17, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 17, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 11
Enhancing Clinical Named Entity Recognition Via Fine-Tuned Bert And Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, Mohammad Masum
Enhancing Clinical Named Entity Recognition Via Fine-Tuned Bert And Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, Mohammad Masum
Faculty Research, Scholarly, and Creative Activity
Clinical notes often contain unstructured text filled with abbreviations, non-standard terminology, and inconsistent phrasing, which pose significant challenges for automated medical information extraction. Named Entity Recognition (NER) plays a crucial role in structuring this data by identifying and categorizing key clinical entities such as symptoms, medications, and diagnoses. However, traditional and even transformer-based NER models often struggle with ambiguity and fail to produce clinically interpretable outputs. In this study, we present a hybrid two-stage framework that enhances medical NER by integrating a fine-tuned BERT model for initial entity extraction with a Dictionary-Infused Retrieval-Augmented Generation (DiRAG) module for terminology normalization. Our …
Spartan Daily, September 16, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 16, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 10
Evaluation Of Home Modifications For Individuals With Mobility Impairments Using Virtual Reality And Wearable Sensors, Yue Luo, Jithin Gopinadhan, Nicolas S. Grimaldi, Xiaojie Lu, Sherry Ahrentzen, Ravi Srinivasan, Boyi Hu
Evaluation Of Home Modifications For Individuals With Mobility Impairments Using Virtual Reality And Wearable Sensors, Yue Luo, Jithin Gopinadhan, Nicolas S. Grimaldi, Xiaojie Lu, Sherry Ahrentzen, Ravi Srinivasan, Boyi Hu
Faculty Research, Scholarly, and Creative Activity
Background: Home repurposing can help enhance accessibility for people with mobility impairments. However, residents may hesitate to implement such changes without clear evidence showing the effectiveness. Purpose: The study integrates virtual reality (VR) systems and wearable technology to provide the effectiveness evidence of home repurposing, reducing residents’ hesitancy. Here, VR allows residents to compare old and new home designs, while wearables offer direct evidence through motion and task analysis. Methods: Twenty-one participants conducted two consecutive activities of daily living (i.e., relocating the robe and going to the bathroom) in original and redesigned bedrooms simulated in the VR system. Participants’ performance …
Transcultural Competence And Empathy In Language Education: Imagining The Unimaginable, Michiko Uryu
Transcultural Competence And Empathy In Language Education: Imagining The Unimaginable, Michiko Uryu
Faculty Research, Scholarly, and Creative Activity
The 2007 MLA report offered guidelines and competencies for foreign language majors at American universities in the age of globalization. The notion of translingual and transcultural competence suggests that today’s foreign language education is not merely a matter of language acquisition, but humanistic learning. The ultimate goal for foreign language learners should be to gain alternative ways of seeing the world, namely, “imagining the unimaginable” (Ozick, 1987). This underscores the central importance of empathy in foreign language education. Yet the true challenge lies in how to assess such an abstract concept. Even eighteen years since its initial publication, the report …
Spartan Daily, September 11, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 11, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 9
Temperature And Pressure Shaped The Evolution Of Antifreeze Proteins In Polar And Deep Sea Zoarcoid Fishes, Samuel N. Bogan, Nathan Surendran, Scott Hotaling, Thomas Desvignes, Iliana Bista, Luana S.F. Lins, Mari H. Eilertsen, Nathalie R. Le François, Tait Algayer, Scott L. Hamilton, Paul B. Frandsen, Federico G. Hoffmann, Joanna L. Kelley
Temperature And Pressure Shaped The Evolution Of Antifreeze Proteins In Polar And Deep Sea Zoarcoid Fishes, Samuel N. Bogan, Nathan Surendran, Scott Hotaling, Thomas Desvignes, Iliana Bista, Luana S.F. Lins, Mari H. Eilertsen, Nathalie R. Le François, Tait Algayer, Scott L. Hamilton, Paul B. Frandsen, Federico G. Hoffmann, Joanna L. Kelley
Faculty Research, Scholarly, and Creative Activity
Antifreeze proteins (AFPs) have enabled teleost fishes to repeatedly colonize polar seas. Four AFP types have convergently evolved in several fish lineages. AFPs inhibit ice crystal growth and lower tissue freezing point. In lineages with AFPs, species inhabiting colder environments may possess more AFP copies. Elucidating how differences in AFP copy number evolve is challenging due to the genes' tandem array structure and consequently poor resolution of these repetitive regions. Here, we explore the evolution of type III AFPs (AFP III) in the globally distributed suborder Zoarcoidei, leveraging six new long-read genome assemblies. Zoarcoidei has fewer genomic resources relative to …
Aisstream-Mcp: A Real-Time Memory-Augmented Question-Answering System For Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, Yinghua Huang
Aisstream-Mcp: A Real-Time Memory-Augmented Question-Answering System For Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, Yinghua Huang
Faculty Research, Scholarly, and Creative Activity
Ports and maritime operations generate massive real-time data streams, particularly from Automatic Identification System (AIS) signals, which are challenging to query effectively using natural language. This study proposes a prototype AISStream-MCP, a memory-augmented real-time maritime question-answering (QA) system that integrates live AIS data streaming with a Model Context Protocol (MCP) toolchain to support port operations decision-making. The system combines a large language model (LLM) with four MCP-enabled modules: persistent dialogue memory, live AIS data query, knowledge graph lookup, and result evaluation. We hypothesize that augmenting an LLM with domain-specific tools significantly improves QA performance compared to systems without memory or …
Spartan Daily, September 10, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 10, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 8
Spartan Daily, September 9, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 9, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 7
Spartan Daily, September 4, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 4, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 6
Climate Change-Related Threats To Railroads: Implications For Threat, Hazard And Risk Assessment, Frances L. Edwards, Daniel C. Goodrich
Climate Change-Related Threats To Railroads: Implications For Threat, Hazard And Risk Assessment, Frances L. Edwards, Daniel C. Goodrich
Faculty Research, Scholarly, and Creative Activity
Climate change has created new challenges for railroads around the world. The rail systems operate in open environments, subjecting them to increased heat, changing locations of heavy rains, developing sea level rise and storm surge, and a longer and stronger wildfire season. This research investigates how an updated threat and hazard identification and risk assessment (THIRA) can lead to the development of climate adaptation strategies that limit damage and disruption to the railroad enterprise. The THIRA analyzes which threats are of most concern in a specific rail segment, and which climate change adaptation strategies give a beneficial return on investment.
Spartan Daily, September 3, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, September 3, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 5
Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb
Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb
Faculty Research, Scholarly, and Creative Activity
This use case reports on the impressive output, hallucinations, instability, and limitations of three Large Language Models (LLMs): ChatGPT, Gemini, and Grok. The LLMs were prompted in an investigative sequence and responses checked. The collected information supports the common theory that chronic wasting disease (CWD) in North America originated in 1967 at a research facility in Fort Collins, Colorado, where deer were reported to have been exposed to sheep with a similar disease - scrapie. Findings include that: no sheep with scrapie were detected in the area around Fort Collins prior to 1967; domestic sheep reportedly exposed to scrapie were …
Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin
Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin
Faculty Research, Scholarly, and Creative Activity
Language modeling has evolved from simple rule-based systems into complex assistants capable of tackling a multitude of tasks. State-of-the-art large language models (LLMs) are capable of scoring highly on proficiency benchmarks, and as a result have been deployed across industries to increase productivity and convenience. However, the prolific nature of such tools has provided threat actors with the ability to leverage them for attack development. Our paper describes the current state of LLMs, their availability, and their role in benevolent and malicious applications. In addition, we propose how an LLM can be combined with text-to-speech (TTS) voice cloning to create …
Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar
Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar
Faculty Research, Scholarly, and Creative Activity
Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent public-safety risk, we propose a real-time Driver Drowsiness Detection System that achieves both high accuracy and fast inference on standard hardware. Our key idea is to combine two complementary deep-learning strategies: 1) a custom Convolutional Neural Network (CNN) paired with a Support Vector Machine (SVM) classifier, and 2) a lightweight transfer-learning model built upon a pre-trained convolutional backbone. We evaluate these approaches on two datasets: …
Spartan Daily, August 28, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, August 28, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 4
Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 3