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Spartan Daily, January 31, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, January 31, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 3
Content Analysis And Applicability Of Zipf’S Law In Technical Writing In The Domain Of Library & Information Science, Pallavi Ramkrushna Dhoke Miss, Mohan Kherde Dr
Content Analysis And Applicability Of Zipf’S Law In Technical Writing In The Domain Of Library & Information Science, Pallavi Ramkrushna Dhoke Miss, Mohan Kherde Dr
Library Philosophy and Practice (e-journal)
Through content analysis of articles published in library and information science journals, this work aims to analyse, determine, and apply Zipf's Law in the technical writing of library and information science. DESIDOC Journal of Library and Information Technology, Annals of Library and Information Studies, and Library Herald are the journals that were picked for this research. The examination of the 573 articles that were published in the three mentioned journals during the years 2013 to 2017 is the primary focus of the study. If we assume that an abstract should be between 100 and 200 words in length, then 342 …
Habitat Characterization Of American Badgers (Taxidea Taxus) Of Northern California, Mitchell Victoria
Habitat Characterization Of American Badgers (Taxidea Taxus) Of Northern California, Mitchell Victoria
Master's Theses
American badgers (Taxidea taxus) are a semi fossorial mammal that lives in grassland and open prairie ecosystems as well as coastal prairies, agricultural fields, deserts, and deforested habitats. Many researchers have published work on badgers, but we still require more information on their ecology. The American badger is a semi fossorial, solitary, predatory mammal of grassland ecosystems. They are classified as mesopredators when compared to larger apex predators such as brown bears, wolves, and pumas. However, when larger carnivores are absent, Badgers become apex predators of their ecosystems. Los Vaqueros Watershed in Brentwood, California, was my study site because badgers …
Spartan Daily, January 24, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, January 24, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 1
Utilisation Of Mobile Library Technologies And Library Service Delivery In Public And Private Universities In South West, Nigeria, Daniel T. O. Kolawole, Udauk U. Enang, Affiong E. Effiong
Utilisation Of Mobile Library Technologies And Library Service Delivery In Public And Private Universities In South West, Nigeria, Daniel T. O. Kolawole, Udauk U. Enang, Affiong E. Effiong
Library Philosophy and Practice (e-journal)
This study examined the differences between the utilisation of mobile library technologies and library service delivery in public and private universities in south west, Nigeria. In addition to stating the purpose of the study and the associated research questions and hypotheses, two models and one theory were used which include the technology acceptance model, service quality models and diffusion of innovation theory. The technology acceptance model suggests that the acceptance of any technology is based on the perceived usefulness and perceived ease of use of the introduced technology. Diffusion of innovation theory suggests ways mobile technologies can be introduced and …
Xun Zi On Desiring To Be Good: Desire As The Necessary Condition For The Transformation Of Nature, Angel Ting
Xun Zi On Desiring To Be Good: Desire As The Necessary Condition For The Transformation Of Nature, Angel Ting
Comparative Philosophy
There are various discussions on the role of desires in the Xun-Zi and how the transformation of nature takes place. Some scholars hold that the heart-mind can override inborn human desires, a view that is analogous to externalism; others maintain the internalism view that desires are essentially motivating in the Xun-Zi. This paper aims to resolve this seeming conflict between externalism and internalism. By introducing David B. Wong's model of being an internalist about duty and an externalist about reason, I will show that desires in the Xun-Zi are necessarily motivating because of their direction of fit, and …
A Comparative Study Of Emotion In Indian And Western Philosophy, Prasasti Pandit, William Krieger
A Comparative Study Of Emotion In Indian And Western Philosophy, Prasasti Pandit, William Krieger
Comparative Philosophy
This paper aims to develop a comparative analysis of the place of emotion from Indian and Western philosophical perspectives. Both Eastern and Indian philosophy consider three mental states as being involved with the arousal of emotions, i.e., cognitive (epistemic), conative (desire), and affective. In Indian philosophy, there is no such single term or specific equivalent definition to the Western term ‘emotion.’ Further, there is no clear dichotomy (cognitive & non-cognitive) between reason and emotion in Indian culture. In Indian scriptures, there are various, at times intermingled conceptions of emotion. From a religious standpoint, emotion can be an expression of religious …
A Madhyamaka Critique Of Jaegwon Kim's Supervenience Argument, Tyler J. Jungbauer
A Madhyamaka Critique Of Jaegwon Kim's Supervenience Argument, Tyler J. Jungbauer
Comparative Philosophy
Jaegwon Kim’s supervenience argument objects to the possibility of emergent causation (both downward and same-level) based on both (1) the causal overdetermination of both (a) higher-level emergent events and (b) lower-level basal events, and (2) the causal closure principle of the physical domain. Kim argues that emergent causation entails epiphenomenalism. Madhyamaka Buddhist philosophy skeptically critiques the primary (ultimate) existence of causal phenomena and instead suggests that all such phenomena may only be secondarily (conventionally) existent. Mādhyamikas acknowledge that, conventionally, emergent phenomena appear to cause both basal phenomena and other emergent phenomena. However, contra Kim, Mādhyamikas doubt that causal relations ultimately …
Intersecting Perspectives: A Comparative Dialogue On Respect In Confucian And Western Philosophies, Chuan Chih Hsu, Antonio Calderón, Chia Shih Su
Intersecting Perspectives: A Comparative Dialogue On Respect In Confucian And Western Philosophies, Chuan Chih Hsu, Antonio Calderón, Chia Shih Su
Comparative Philosophy
Present study analyzes the concept of respect in both Confucius' and Western philosophical traditions. It reveals the differences in interpretation and practice of respect due to their distinctive cultural, historical, and philosophical contexts. Confucius' philosophy emphasizes respect towards authority, traditions, and the elderly through dedication and commitment, while Western philosophy, primarily Aristotle's perspective, emphasizes reciprocal respect and the inherent rights of individuals. Both systems of thought, although contrasting, seek to promote values fostering cooperation, understanding, and peaceful coexistence. Despite their varied conceptualizations of respect, the ultimate goal remains the same – to provide ethical and moral guidance for a harmonious …
The Social Relevance Of Comparative Philosophy, Timothy Connolly
The Social Relevance Of Comparative Philosophy, Timothy Connolly
Comparative Philosophy
Early proponents of comparative philosophy believed that the dissemination of comparative methods would lead to step forward in human consciousness and contribute to a more peaceful world. Can comparative philosophy today still aspire to such goals? On the one hand, the aims of the field have narrowed, so that comparative philosophy is seen as a method of interpreting particular thinkers and texts or as a tool for addressing specific philosophical problems. On the other hand, critics argue that comparative philosophy is an outmoded enterprise that should give way to more pluralistic forms of inquiry. In this paper, I examine three …
Heraclitus And The Rig Veda: A Cross-Tradition Engaging Examination, Eleni Chronopoulou
Heraclitus And The Rig Veda: A Cross-Tradition Engaging Examination, Eleni Chronopoulou
Comparative Philosophy
As early as the 18th century, the similarities between Greek and Iranian thought have raised questions about the origins of Greek philosophy and a possible Oriental influence many have ventured to highlight parallels and to explain this proximity of ideas. However, although it is very well-known that Iranian philosophy is influenced by the early Hindu thought, and there are studies on the analogies between the Greek and the Indian philosophy only few scholars have studied the closeness of the Heracletean philosophy with the early Indian thinking. This article attempts to compare some fragments of the Ionian philosopher on fire …
The Hand Of Thought: A Cross-Tradition Examination Of Kosho Uchiyama And Martin Heidegger, Gregory Burgin
The Hand Of Thought: A Cross-Tradition Examination Of Kosho Uchiyama And Martin Heidegger, Gregory Burgin
Comparative Philosophy
This paper presents how the Sōtō Zen priest, Kōshō Uchiyama, and the mercurial and polarizing German philosopher, Martin Heidegger, approach what the former calls “opening the hand of thought” (omoi no te banashi). For Uchiyama, the metaphoric opening of our mental hand requires the meditative practice of zazen or “just sitting” (shikantaza) and is said to mean that we avoid the act of thinking. Conversely, Heidegger maintains that the “releasement” (Gelassenheit) of our conceptual grasp is the basis of a more essential and “meditative” mode of thinking and discourse (besinnliches Denken). While Uchiyama and Heidegger appear to be at odds, …
Digital Literacy Skills And Job Performance Of Library Personnel In State-Owned Universities In Rivers State, Nigeria., Godwin Otu
Library Philosophy and Practice (e-journal)
The primary objective of this study is to ascertain the level of expertise held by university library staff members working in Rivers State University libraries with regard to digital technology. This investigation was founded on a series of research questions as well as three hypotheses that were proposed to explain the data. Because the population of the study consisted of 32 librarians working at RSU and IAUE, the researchers compiled their findings through the use of a correlational survey design and a census sampling technique. The reliability of the questionnaire was demonstrated using Cronbach's alpha, which indicated a value of …
Thermal Runaway Analysis And Cooling Strategies For Nmc 523 Li-Ion Battery Packs Using Pcm, Heat Pipes, And Air Cooling, Vijethvardhan Singh
Thermal Runaway Analysis And Cooling Strategies For Nmc 523 Li-Ion Battery Packs Using Pcm, Heat Pipes, And Air Cooling, Vijethvardhan Singh
Master's Theses
The growing demand for electric vehicles (EVs) necessitates efficient thermal management of lithium-ion batteries (LIBs), especially NMC 523 cells. This thesis investigates thermal runaway (TR) mechanisms and evaluates cooling strategies to mitigate overheating risks. Using ANSYS Fluent, the TR of four cells in series was simulated and validated with Jun Wu et al.'s experimental data, achieving an error margin below 10%. Peak temperatures reached 1,126°C in the first cell, with delayed propagation in adjacent cells. Sensitivity analysis of voltage, current, and state of charge (SOC) under varying C-rates was performed using a multi-scale multi-domain (MSMD) battery model. A logarithmic voltage …
The Impact Of Video Game Play On Attention And Perception, Krish Pradhan
The Impact Of Video Game Play On Attention And Perception, Krish Pradhan
Master's Theses
Past research shows that individuals who play action video games have stronger attentional resources. However, the role of expertise and player experience is yet to be operationalized in cognitive video game research. This thesis aimed to discover if there is a systematic relationship between video game expertise, specifically percentile-based ranks and actual hours played, on perception and attentional skills. Percentile-based rankings were used as a new, objective measure of expertise that accounts for an individual's skill level relative to all other players of the same game. The number of weekly hours played was gathered from the participants and divided into …
A New Method For Removing Artifacts From Recordings Of The Electrically Evoked Compound Action Potential: Single-Pulse Stimulation, Jeffrey Skidmore, Yi Yuan, Shuman He
A New Method For Removing Artifacts From Recordings Of The Electrically Evoked Compound Action Potential: Single-Pulse Stimulation, Jeffrey Skidmore, Yi Yuan, Shuman He
Faculty Research, Scholarly, and Creative Activity
This report presents a new method for removing electrical artifact contamination from the electrically evoked compound action potential (eCAP) evoked by single cathodic-leading, biphasic-pulse stimulation. The development of the new method is motivated by results recorded in human cochlear implant (CI) users showing that the fundamental assumption of the classic forward masking artifact rejection technique is violated in up to 45% of cases tested at high stimulation levels when using default stimulation parameters. Subsequently, the new method developed based on the discovery that a hyperbola best characterizes the artifacts created during stimulation and recording is described. The eCAP waveforms obtained …
The Relationship Between Communication With Coworkers And Job Satisfaction Among Teleworkers: The Moderating Role Of Communication Modality, Madison L. Mariano
The Relationship Between Communication With Coworkers And Job Satisfaction Among Teleworkers: The Moderating Role Of Communication Modality, Madison L. Mariano
Master's Theses
Teleworking has become increasingly prevalent due to public health concerns and advancements in communication technologies. While organizations should take steps to promote job satisfaction among teleworkers, there is little research on the predictors of job satisfaction among full-time teleworkers. Specifically, few studies have focused on how coworker communication might impact job satisfaction among full-time teleworkers. This study focused on this gap in the literature by examining the relationship between the frequency of communication with coworkers and job satisfaction and the moderating role of communication modality. Communication modality refers to a form of communication technology available to teleworkers, ranging from rich …
Unrealvision: A Synthetic Dataset Generator For Human-Pose Estimation And Behavior Analysis, Thinh Lu
Unrealvision: A Synthetic Dataset Generator For Human-Pose Estimation And Behavior Analysis, Thinh Lu
Master's Theses
For over a decade, computer vision (CV) has become an indispensable component of numerous camera surveillance applications as well as intelligent autonomous systems. Thanks to new advances in AI, Edge Computing, and IoT technologies, there is now a rapidly growing number of smart camera devices, industrial and consumer robots that are using computer vision for various applications - from human tracking and analysis, object classification, to visual inspection and anomaly detection. For most common use cases, building vision-based applications can be a straightforward and affordable task thanks to the increasing number of publicly accessible datasets and research publications. However, it …
Temporal Changes In The Surface Chemistry And Topography Of Reactive Ion Plasma-Treated Poly(Vinyl Alcohol) Alter Endothelialization Potential, Ryan A. Faase, Novella M. Keeling, Justin S. Plaut, Christian Leycam, Gabriela Acevedo Munares, Monica T. Hinds, Joe E. Baio, Patrick L. Jurney
Temporal Changes In The Surface Chemistry And Topography Of Reactive Ion Plasma-Treated Poly(Vinyl Alcohol) Alter Endothelialization Potential, Ryan A. Faase, Novella M. Keeling, Justin S. Plaut, Christian Leycam, Gabriela Acevedo Munares, Monica T. Hinds, Joe E. Baio, Patrick L. Jurney
Faculty Research, Scholarly, and Creative Activity
Synthetic small-diameter vascular grafts (<6 mm) are used in the treatment of cardiovascular diseases, including coronary artery disease, but fail much more readily than similar grafts made from autologous vascular tissue. A promising approach to improve the patency rates of synthetic vascular grafts is to promote the adhesion of endothelial cells to the luminal surface of the graft. In this study, we characterized the surface chemical and topographic changes imparted on poly(vinyl alcohol) (PVA), an emerging hydrogel vascular graft material, after exposure to various reactive ion plasma (RIP) surface treatments, how these changes dissipate after storage in a sealed environment at standard temperature and pressure, and the effect of these changes on the adhesion of endothelial colony-forming cells (ECFCs). We showed that RIP treatments including O2, N2, or Ar at two radiofrequency powers, 50 and 100 W, improved ECFC adhesion compared to untreated PVA and to different degrees for each RIP treatment, but that the topographic and chemical changes responsible for the increased cell affinity dissipate in samples treated and allowed to age for 230 days. We characterized the effect of aging on RIP-treated PVA using an assay to quantify ECFCs on RIP-treated PVA 48 h after seeding, atomic force microscopy to probe surface topography, scanning electron microscopy to visualize surface modifications, and X-ray photoelectron spectroscopy to investigate surface chemistry. Our results show that after treatment at higher RF powers, the surface exhibits increased roughness and greater levels of charged nitrogen species across all precursor gases and that these surface modifications are beneficial for the attachment of ECFCs. This study is important for our understanding of the stability of surface modifications used to promote the adhesion of vascular cells such as ECFCs.
Scalable And Consolidated Microbial Platform For Rare Earth Element Leaching And Recovery From Waste Sources, Nathan M. Good, Christina S. Kang-Yun, Morgan Z. Su, Alexa M. Zytnick, Colin C. Barber, Huong N. Vu, Joseph M. Grace, Hoang H. Nguyen, Wenjun Zhang, Elizabeth Skovran, Maohong Fan, Dan M. Park, Norma Cecilia Martinez-Gomez
Scalable And Consolidated Microbial Platform For Rare Earth Element Leaching And Recovery From Waste Sources, Nathan M. Good, Christina S. Kang-Yun, Morgan Z. Su, Alexa M. Zytnick, Colin C. Barber, Huong N. Vu, Joseph M. Grace, Hoang H. Nguyen, Wenjun Zhang, Elizabeth Skovran, Maohong Fan, Dan M. Park, Norma Cecilia Martinez-Gomez
Faculty Research, Scholarly, and Creative Activity
Chemical methods for the extraction and refinement of technologically critical rare earth elements (REEs) are energy-intensive, hazardous, and environmentally destructive. Current biobased extraction systems rely on extremophilic organisms and generate many of the same detrimental effects as chemical methodologies. The mesophilic methylotrophic bacterium Methylobacterium extorquens AM1 was previously shown to grow using electronic waste by naturally acquiring REEs to power methanol metabolism. Here we show that growth using electronic waste as a sole REE source is scalable up to 10 L with consistent metal yields without the use of harsh acids or high temperatures. The addition of organic acids increases …
Unveiling The Cognitive Impact: An Exploratory Study On Food Insecurity And Value-Driven Attentional Capture, Nichole S. Hogoboom
Unveiling The Cognitive Impact: An Exploratory Study On Food Insecurity And Value-Driven Attentional Capture, Nichole S. Hogoboom
Master's Theses
Food insecurities have been shown to lead to serious negative health outcomes such as increased risk for diabetes and obesity in adulthood, food-related mental health and behavioral issues, all of which can have a crossover effect in many areas of a person’s life. This experiment explores whether previous history of food insecurity is associated with how people allocate attention to pictures of food; whether they are prioritizing or ignoring food stimuli in their environment. We hypothesized that the severity of food insecurity experienced in childhood would correlate with attentional bias towards food images, and that how hungry or thirsty participants …
Uncovering Weaknesses In Autonomous Driving: A Formal Approach To Adversarial Scenario Generation And Falsification, Carlos O. Hernandez
Uncovering Weaknesses In Autonomous Driving: A Formal Approach To Adversarial Scenario Generation And Falsification, Carlos O. Hernandez
Master's Theses
Autonomous vehicles utilize advanced safety features like proactive driving assistance and pre-collision alerts to minimize the risk of accidents. However, evaluating the correct functionality of these systems is complex. First, safety systems are highly sophisticated, integrating software, networking, and hardware components, many of which rely on advanced artificial intelligence and machine learning algorithms. Second, an array of dynamic factors, including numerous actors and physical variables, can influence the performance of safety mechanisms during critical scenarios. Each actor’s unique behavior introduces unpredictability, making it difficult to anticipate future states and outcomes. This thesis presents a comprehensive framework for testing autonomous vehicle …
Sdebuddy - Code Documentation Using Large Language Models, Nischay Nagendra
Sdebuddy - Code Documentation Using Large Language Models, Nischay Nagendra
Master's Projects
In this fast developing world of software development, it is crucial to maintain the quality of code and the developers’ productivity. This can be done effectively with good code documentation. SDEBuddy uses the latest generation of Large Language Models (LLMs) and finetuning procedures to create code documentation. In this project, state-of-the-art models such as Llama2 and Llama3 are employed to mimic the behavior of the given code and produce documentation. Such models are tuned for various programming languages and documentation formats using LoRA and QLoRA fine-tuning approaches. These models are evaluated in terms of the BLEU score, ROUGE score and …
Formula 1 Commentary Generator Using Generative Artificial Intelligence, Hiral Moliya
Formula 1 Commentary Generator Using Generative Artificial Intelligence, Hiral Moliya
Master's Projects
This project aims to create a high-quality commentary generation system utilizing cutting-edge Generative AI technologies, with a particular focus on the T5 transformer-based text-to-text transfer transformer (T5). The primary goal is to create a fully autonomous and contextually aware commentary system that will be able to provide consistent and insightful commentary on dynamic events that reflect the level of detail normally associated with human commentary. Upon giving the input as a text input of the race events the model using large language models that are trained on a large range of datasets creates text-based commentary. The system in order to …
Advancing Phishing Protection: Employing Sophisticated Methods For Precise Url Evaluation, Abbhinav Reddie Nomuiia
Advancing Phishing Protection: Employing Sophisticated Methods For Precise Url Evaluation, Abbhinav Reddie Nomuiia
Master's Projects
In short, the incidence of phishing - the illegal act of people pretending to be well-known companies to secure personal information - has skyrocketed in the past few years. In 2022 alone, 300,000 consumers in the United States were captured by scammers using phishing techniques, losing in all over $50 million. In the span of two weeks, over 510 million attempts occurred in a variety of sectors, particularly instant messaging platforms, package delivery businesses, and digital currency trading. Since most businesses have recognized that they are prone to these exposure cases, there has been a sixty percent increase in businesses …
Multiclass Lung Disease Classification In Chest X-Ray Images: A Fine-Tuned Hybrid Cnn-Gnn Approach Using Transfer Learning And Feature Extraction, Vinay Vilas Khade
Multiclass Lung Disease Classification In Chest X-Ray Images: A Fine-Tuned Hybrid Cnn-Gnn Approach Using Transfer Learning And Feature Extraction, Vinay Vilas Khade
Master's Projects
In clinical practice, it is still difficult to accurately diagnose lung diseases from chest X-ray (CXR) images. In this study, we propose a new hybrid method for identifying several types of lung diseases using CXR images by combining Convolutional Neural Networks (CNNs) with Graph Neural Networks (GNNs). The framework of our proposed methodology takes advantage of CNN’s ability to extract detailed visual features and GNN’s capacity to understand complex relationships between these features, enabling comprehensive analysis in a multi-class classification setting of COVID-19, pneumonia, and normal lung conditions. We used multiple transfer learning models such as DenseNet201, VGG16, VGG19, MobileNetV2, …
An Empirical Analysis Of Adversarial Attacks In Federated Learning, Rohit Mapakshi
An Empirical Analysis Of Adversarial Attacks In Federated Learning, Rohit Mapakshi
Master's Projects
In this paper, we experimentally analyze the susceptibility of selected Federated Learning (FL) systems to the presence of adversarial clients. We find that temporal attacks significantly affect model performance in FL, especially when the adversaries are active throughout and during the ending rounds of the FL process. Machine Learning models like Multinominal Logistic Regression, Support Vector Classifier (SVC), Neural Network models like Multilayer Perceptron (MLP), Convolution Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) and tree-based machine learning models like Random Forest and XGBoost were considered. These results highlight the effectiveness of temporal attacks and the need …
Multimodal Techniques For Malware Classification, Jonathan Jiang
Multimodal Techniques For Malware Classification, Jonathan Jiang
Master's Projects
The threat of malware has remained a serious concern for computer networks and systems, highlighting the need for accurate classification techniques. This research adopted the structured nature of PE files incorporated with a multi-modal machinelearning approach, to classify malware types. Features extracted from the PE headers were used to train an LSTM model. Features extracted from the PE sections were used to train a CNN model. Probabilities produced from these two models were then concatenated and fed into an SVM classifier. This multi-modal approach demonstrated high accuracy by experimenting with and verifying the approach on a large and labeled dataset. …
Reinforcement Learning And Hidden Markov Models For Simulating And Analyzing Social Engineering Attacks., Bharkavi Sachithanandam
Reinforcement Learning And Hidden Markov Models For Simulating And Analyzing Social Engineering Attacks., Bharkavi Sachithanandam
Master's Projects
The advent of the internet has revolutionized communication and connectivity on a global scale. Now every computer is connected to the internet. Although this technological advancement has made human life easier, this has also led to an increase in sophisticated methods of exploitation. Social Engineering is such a prominent threat to the human community. Social engineering attackers manipulate the victim into giving away sensitive details. Understanding the dynamics of social engineering is crucial for developing measures to help individuals and organizations avoid falling prey to these deceptive tactics. Hence it is essential to understand the attackers. Thus gaining insight into …
Ai Generated Text Detection & Source Identification, Anjana Priyatham Tatavarthi
Ai Generated Text Detection & Source Identification, Anjana Priyatham Tatavarthi
Master's Projects
The detection of AI-generated text by the application of advanced machine learning techniques not only presents a promising approach toward distinguishing human-written content from machine-generated text, but also identifies the source model used for the generation of the text. This helps address the growing concerns about authenticity and accountability in digital communication. The difference between human-generated and AI-generated text lies in the core of several applications, from news media to academic integrity.It also helps in ensuring the transparency and trust in content-driven environments. However, existing models fall short in accurately detecting AI-generated text and identifying the specific AI source due …