Cognitive Science Commons^™

Confronting The Digital Epidemic: Excessive Social Media Use (Smu) In The Wellbeing Of Young Adult Populations, Joanna Abellera

McNair Research Journal SJSU

This study will investigate the relationship between social media as a

mediator and its effects on depressive symptoms, using Social Comparisons

theory (SCT; Festinger, 1954) as a framework. A series of 8-10 articles,

obtained through the San Jose State Library Database and PsycINFO, will

explore the nature of social media addiction (SMA) and problematic social

media use (PSMU) and its relation to self-esteem of young adult

populations by comparing theoretical perspectives (i.e., cross-sectional and

experimental designs) in the literature. Studies have found that [increased

SMU has been correlated with negative outcomes such as depression,

loneliness, and increased envy]. Future studies …

A Comprehensive Review On Gamification In Neurocybersecurity, Ms. Kritika

Journal of Cybersecurity Education, Research and Practice

The research investigates gamification methods as it applies to the emerging interdisciplinary domain that brings together cybersecurity with neuroscience and psychology. Neurocybersecurity implements neural concepts to protect digital systems from security threats while targeting the human vulnerabilities that present as the strongest points of attack. Several researchers have examined gamification techniques which incorporate game design elements to enhance cybersecurity training outcomes by improving user participation and knowledge retention and user conduct compliance. The research incorporates Self-Determination Theory along with Cognitive Load Theory to explain the design principles for efficient gamified interventions. The implementation of both cognitive performance improvement and neuroplasticity …

Re-Engaging Driver Attention Using Chatgpt: A Multimodal Study On Stress Impact And Driving Performance, Alaa Zaki Elfiqi

Theses and Dissertations

Driving is considered a complex task that requires continuous focus and attention from the driver. Driving performance can also be impacted by changes in the driver’s stress level. However, limited research explores methods to address this challenge. With the current advances in Large Language Models (LLMs) and their ability to engage in human-like interaction, this study investigates the potential of using ChatGPT, designed to speak Egyptian Arabic, in re-engaging driver attention under different driving scenarios for low-stress and high-stress conditions within a virtual reality (VR) environment driving simulator. Drivers were asked to follow a leading car into two scenarios with …

Ketamine As A Novel Treatment For Bipolar Disorder: Efficacy, Safety, And Future Directions, Sophia M. Valerino

Advances in Clinical Medical Research and Healthcare Delivery

Bipolar disorder is a complex mood disorder characterized by alternating episodes of depression and mania/hypomania, affecting approximately seven million people in the United States. Current pharmacological treatments include lithium, anticonvulsants, and second-generation antipsychotics, but these medications are often associated with significant side effects and poor adherence. Ketamine, a noncompetitive NMDA antagonist, has recently gained attention as a potential treatment for bipolar disorder due to its rapid antidepressant effects, particularly in treatment-resistant mood disorders. This article examines the therapeutic potential of ketamine for bipolar disorder, focusing on its mechanism of action and efficacy. Clinical studies have shown promising results, with ketamine …

Proceedings Of The 19th Facet Theory Conference, Samuel Shye

International Facet Theory Conference

No abstract provided.

Examining Nonprofit Social Service Sector Burnout And Turnover: Trait Mindfulness As A Moderator Of Work-Life Balance And Compassion Fatigue, Melissa L. Brown

Dissertations

Nonprofit burnout and turnover surpass all national industries, specifically in the social services subsector. In contrast to their for-profit counterparts, nonprofit turnover rates remain on the rise. While literature indicates that one of the primary drivers of nonprofit turnover is burnout, more granular research proposes that nonprofit social service employees encounter a distinct form of burnout generated by the exposure to secondary traumatic distress known as compassion fatigue. This study investigated the antecedents of this phenomenon by examining trait mindfulness as a moderator of work-life balance and compassion fatigue among nonprofit social service providers. To sustain a workforce that provides …

Decision Field Theory For Human-Multi-Robot Collaboration: Human-Centric Decision-Making For Multi-Robot Systems, Ryan Mbagna Nanko

All Theses

At first glance, choosing between an apple and an orange appears to be a straightforward matter of personal taste; however, this seemingly simple preference opens a window into the multifaceted world of decision-making, revealing the complex interplay of cognitive processes, psychological, and behavioral-economic principles that guide our choices \cite{bandyopadhyayRoleAffectDecision2013}. By unpacking these nuanced perspectives, we uncover insights that can drive more effective human-robot interaction and collaboration.

Modeling human cognition requires understanding the evolution of choice utility and the influence of emotions. Decision Field Theory (DFT) stands out by capturing the fluctuating nature in human preferences over time, explaining why choices …

Bystanders Intervening During Acts Of Cyberbullying: Examining The Moderating Influence Of “Likes” And Pleas For Help, Joseph Kallman

Student Theses

Abstract

Cyberbullying research has only recently begun exploring “cyberstanders,” also known as bystanders, and their role in cyberbullying, as well as testing the bystander effect (Barlinska et al., 2013; Machackova et al., 2013; Obermaier et al., 2016; Shultz et al., 2014). In the current study, we aim to deepen our understanding of the bystander effect by manipulating the number of likes, which will indicate the number of bystanders present and the plea for help on social media via Twitter among college students, by examining how participants respond to fictitious cyberbullying incidents. The results of this study did not support our …

Growth Mindset And Generative Ai, J. Elizabeth Clark, Casandra Silva Sibilin

Open Educational Resources

This module expands the CUNY Learning Mindsets framework—originally developed with the University of Virginia’s Motivate Lab to support student motivation through growth, purpose and relevance, and sense of belonging (GPS)—by introducing a fourth module focused on generative artificial intelligence (Gen AI). Designed in spring 2025 by CUNY Learning Mindset Ambassadors Casandra Silva Sibilin and J. Elizabeth Clark, the module integrates growth mindset principles with emerging research on Gen AI to help educators and students engage with these tools as opportunities for learning and development rather than shortcuts or sources of academic misconduct.

The module provides an introduction to …

Spiritual Practices In Survivor Care: A Qualitative Analysis Of Christian Faith-Based Shelters And Survivor Well-Being, Jeanne L. Allert

Dignity: A Journal of Analysis of Exploitation and Violence

Christian faith-based organizations constituted a significant proportion of shelter programs for survivors of sex trafficking in the United States, with an estimated 63% identifying as Christian-affiliated (Institute for Survivor Care, 2024). Despite their prevalence, such programs often elicited skepticism due to the rise of secularism (Pew Research, 2022) and concerns that spiritual programming might retraumatize survivors (Ahrens et al., 2010; Hodge, 2020). However, Ahrens et al. (2010) and Hodge (2020) also found that religious practices can be helpful. This qualitative study employed a trauma-informed, descriptive survey design to explore the experiences of 158 trafficking survivors, who had either resided in …

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …

The Effects Of E-Cigarettes And Oxidative Stress On Cognitive Function And Adolescent Academics, Alexis A. Kaminsky Jr.

Lynchburg Journal of Medical Science

Electronic cigarettes are the fastest growing method of tobacco consumption in the United States despite an overall decline in smoking rates. Evidence has shown that enticing flavor and trendy marketing campaigns have increased use among younger consumers. Nicotine use is a risk factor among younger individuals for damage to brain development and cognitive impairment, and electronic cigarettes are no exception. This paper attempts to review and clarify previously observed health impacts of electronic cigarette use among younger individuals, as measured by academic grades and scores. A focus on the effect of oxidative stress on the body and the resulting academic …

Director, Military Cyber Institute, Joseph Schafer

Military Cyber Affairs

No abstract provided.

Throughput Of Ascon Compared With Popular Iot Encryption Algorithms, Mitchel R. Harvey (Ryan), Andrew M. Kaiser, Garrett W. Hoiness

Military Cyber Affairs

No abstract provided.

Anomaly Detection Of Network Layer Attacks Against Cyber Physical Systems Using Machine Learning And Deep Learning Techniques, James Alger, Michael Tu

Military Cyber Affairs

This research paper presents the analysis of using machine learning and deep learning algorithms on detecting anomalous network traffic in Cyber-Physical Systems (CPS). Using a real PLC CPS-based system, normal and anomalous network traffic will be captured using Wireshark. The research analyzes a DDoS attack. The focus of the research is to identify the most effective feature combinations and evaluate them on ML and DL models. The emphasis is on enhancing detection strategies rather than exploiting device vulnerabilities. The detection of network attacks often involves handling a vast array of high-level features. Previous studies (Li & Chasaki, 2022) apply machine …

Characterizing Caldera’S Cyber Attack Emulation Capabilities, Caleb Chang, Matthew Cao, Kenyou Teoh, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

Autonomous cyber attack emulation can aid cyber defenders to identify and remediate cyber risks. MITRE’s Caldera software is the state-of-the-practice for automated attack emulation. Yet, it has not been systematically analyzed, putting its performance and effectiveness into question. This paper systematically characterizes Caldera’s architecture, abilities and use cases, and assesses its strengths and weaknesses. It draws useful insights, such as: Caldera excels in stealthy access and execution tactics to pilfer data against Windows operating systems. It also discusses two directions for Caldera improvement: module-level automation and end-to-end attack emulation.

The Digital Battlefield: Safeguarding Military Drones Against Cyberattacks, Jason Ashong, Arun Venkitanarayanan, Benjamin Yankson

Military Cyber Affairs

The Internet of Battlefield Things (IoBT) is an advanced network of interconnected devices that significantly enhance military operations through real-time data exchange and situational awareness. While IoBT offers tactical advantages like improved surveillance, reconnaissance, and operational effectiveness, it also introduces substantial cybersecurity risks. Adversaries can exploit vulnerabilities within these networks, potentially compromising mission integrity and national security. This research examines the cybersecurity measures of commercial drone controllers and their correlation with military devices. It aims to enhance future vulnerability assessments with advanced tools and approaches to better secure critical military operations. The study highlights the need for robust security architectures …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Network And Multipath Traceroute Visualization, Cameron Makowski

Military Cyber Affairs

TraceCam introduces a new paradigm in network path analysis, leveraging GPU-accelerated WebGL visualization, advanced traceroute integrations, and AI-driven insights to transform complex routing data into actionable intelligence. Early prototypes have demonstrated significant improvements in performance, clarity, and multi-path discovery, overcoming traditional limitations in traceroute analysis. By incorporating retrieval-augmented language models and enriched metadata sources like IPinfo.io, TraceCam enables automated anomaly detection, contextual explanations, and rapid root-cause analysis, enhancing operational efficiency. The platform’s architecture ensures scalability and adaptability, supporting deeper investigations and real-time situational awareness. Future development will focus on clustering-based anomaly detection, expanded geographic visualizations, and enhanced AI-generated analysis to …

Quantifying Adversary Military Forces’ Susceptibility To Cognitive Attacks, Bonnie Rushing, Cole Nelson, Shouhuai Xu, Christofer “Raven” O’Keefe, Olga Karpoyan

Military Cyber Affairs

This paper introduces a method to quantify international populations’ susceptibility to cyber cognitive attacks using press freedom and media trust metrics. We present the Cognitive Influence Calculator, a tool that estimates susceptibility (𝑆) based on Press Freedom Scores (PFS) and media trust levels. Findings show that while authoritarian regimes are harder to reach, successful cognitive attacks have greater impacts due to higher trust in state-controlled narratives. Using U.S. wargaming data and international trust metrics, we compute susceptibility scores for the U.S., Russia, China, Iran, and North Korea. Results show an inverse relationship between PFS and media susceptibility, with local/allied …