July 2026 (Vol. 9 Issue 2)
Examining Differential Gene Expression Between Luminal A and Basal-like Breast Cancer
Medha Chellapilla
21/07/2026
Breast cancer is a leading contributor to the global cancer burden as the most common form of cancer in women (Lukasiewicz et al., 2021). Scientists often examine breast cancer on a genetic level and use molecular subtypes to differentiate between symptoms and aggression levels. Overarching subtypes ...
Can AI Design with Care? Evaluating an AI-Based Multi-Agent System for Beginner Smart Home Projects
Stephen Yuan
21/07/2026
Large language models are increasingly used by students to brainstorm and explain engineering projects, but a fluent design proposal can still hide weak feasibility judgment, incomplete safety reasoning, or shallow attention to human needs. This student-led project asks whether AI can design with care by ...
Integrative Transcriptomic and Network Based Framework for Designing Heat-Stress and Protective Topical Therapies in Mammals
Rihaan Sodhani and Nirupma Singh
21/07/2026
Anthropogenic climate change and the urban heat island effect have significantly increased the risk of heat stress in urban mammals. Existing cooling strategies for animals primarily focus on physiological management and often overlook molecular-level mitigation of heat-induced cellular damage. Therefore, ...
Advances in Substitutive Technologies for Supporting Visually Impaired Individuals
Gia Gupta
21/07/2026
Visual impairment is a significant public health issue, with over 253 million people in the world affected. These individuals face major limitations on their independence, mobility and daily social functioning. The evolution of assistive technology (AT) for blind and low vision (BLV) individuals has progressed from the ...
Evaluating the Potential of Pumped Hydro Energy Storage to Mitigate Dry-Year Hydroelectric Shortfalls in New Zealand
Derek (Xiangwen) Ding
21/07/2026
New Zealand’s electric system relies heavily on hydroelectric generation; thus, the system is vulnerable during dry years due to the shortage of precipitation. Pumped hydro energy storage (PHES) is a proposed option to store surplus electricity in a reservoir and release it when electric generation is limited from ...
Network and Transcriptome-Guided Explainable Machine Learning for Identifying Disease-Specific Drug–Target Interactions in Alzheimer’s and Parkinson’s Disease
Vir Rastogi and Nirupma Singh
21/07/2026
Alzheimer’s disease and Parkinson’s disease are neurodegenerative disorders that pose significant global health challenges. Traditional drug discovery approaches are often time consuming and costly, emphasizing the need for more efficient computational strategies to identify potential drug targets. In this ...
Bilingual Evaluation of Tone and Emotional Nuance in Korean-English Translation: Human vs. AI
Yeeun Choi
21/07/2026
The act of translation requires navigating tensions between fidelity to source texts and accessibility for target audiences. This challenge is especially present in Korean-English translation, where there is substantial linguistic and cultural distance. In an era where AI translation systems grow ever more ...
Rehabilitation Behind Bars: The Role of Education, Meditation, Counselling, and Vocational Training in Reforming Prison Inmates in India
Elina Mehra
21/07/2026
The present narrative review critically explores the contribution of education, meditation and yoga, counselling and vocational training to the rehabilitation of prison inmates in the context of India and literature published from 2001-2025. The review concludes that, although there are systemic issues that ...
Memory on Trial: How Pretrial and Courtroom Dynamics Distort Eyewitness Memory
Shriya Saravanan
21/07/2026
The legal system treats eyewitness testimony as highly probative evidence; however, psychological research, cognitive neuroscience, and case analyses indicate that pretrial and courtroom dynamics systematically distort the reconstruction of memory. This paper examines the impact of courtroom ...
Theoretical and Computational Studies to Understand the Behavior of the Kuramoto Model in Different Network Topologies
Vishrut Kinikar
21/07/2026
The localization of the Kuramoto model in various real-world systems such as Josephson junctions and ring oscillator circuits has emphasized the need to understand the behavior of the Kuramoto model in localized network topologies. This study investigates the evolution of the order parameter of a dynamical ...
Graphomotor Friction and Linguistic Complexity: A Computer Vision Analysis
Sophie Baryalai
21/07/2026
Transcription Bottleneck theory suggests that mechanical writing demands consume working memory, limiting the extent to which cognitive ability is reflected in written output. This study investigates whether graphomotor friction, measured using a computer vision–based framework, is ...
Comparing the Impact of Historical Narratives Versus Expository Texts on High School Students’ Macroeconomic Understandings
Karisma Sarkar
21/07/2026
Despite the critical role of macroeconomic literacy in financial decision-making, high school students often struggle with “hyper-rational” economic lessons that feel disconnected from real-world contexts. While narratives, theoretically, are more engaging and thus more effective in helping students understand ...
"MindDrive" - Personalized Model Using EEG-Based Brain-Computer Interface for Wheelchair Control
Aanya Krishna
21/07/2026
Our project addresses several challenges of traditional wheelchairs and previous BCI-based prototypes to make the system more usable. Current solutions are often based on high channel EEG configurations or deep learning models with high computation and processing time. This approach employs an 8-channel ...
A Taylor-Series Engineering Approach to Machine Learning-Based Early Detection of Systemic Lupus Erythematosus
Harrison Baek
21/07/2026
This study addresses the challenge of early detection of systemic lupus erythematosus (SLE), an autoimmune disease that is often diagnosed late due to its heterogeneous clinical presentation. I investigate whether Taylor-series–derived features can enhance machine learning (ML) models by ...
AI's Effect on America's Fast Food Service Industry and Economy
Maansi Ranjan
21/07/2026
The American fast-food industry is rapidly changing as companies adopt artificial intelligence (AI). Technologies like AI-driven drive-thrus, kitchen automation, predictive inventory systems, and personalized mobile apps are actively turning a traditionally labor-heavy business into a highly efficient, ...
Evaluating Aqueous Electrolyte Effects on the Electrochemical Output of Aluminum-Air Batteries
Ridi Aggarwalt
21/07/2026
As the global energy demands continue to increase, there is an immediate need for advanced battery materials. This paper examines the influence of different aqueous electrolytes and their concentration on the electrochemical characteristics of aluminum-air batteries. A recycled lab cell was designed using ...
Hardware-Software Interplay: Measuring the Energy Cost of Local LLM Inference Across Integrated Testbed Profiles on Consumer Hardware
Aaryan Karlapalem
21/07/2026
As large language models (LLMs) evolve from data centers to local edge devices, understanding the hardware-software interactions of these systems has become essential for creating sustainable forms of AI. This study investigates the influence of host operating systems and machine specifications on the ...
Association Between the Cardiometabolic Index With Mortality Risk in Adult Hypertensive Patients
Geeta Dey
21/07/2026
Hypertension alone contributes to 10 million deaths annually, highlighting the need for improved risk assessment tools. Currently, the cardiometabolic index (CMI) provides prognostic value in early clinical screening for disease risk in conditions for type 2 diabetes, hypertension, and cardiovascular disease ...
The Effect of Artificial Intelligence Feedback and Social Norms on Performance
Katherine Wu
21/07/2026
As artificial intelligence (AI) systems become common sources of feedback in workplaces and classrooms, understanding how people respond to AI-generated evaluations is increasingly important, particularly whether recipients distrust feedback simply because it comes from a machine.
May the Odds Be Ever in Your Favor: How the Involvement of the United States of America and NATO Negatively Impacted the 2011 Libyan Civil War
Seva Ananthram
21/07/2026
This paper discusses and reviews the intervention of NATO and the United States of America in the 2011 Libyan Civil War. Civilian casualties, outside influence for the United States intervention and a lack of transparency from NATO are analyzed, with the purpose of identifying how the intervention of the United ...
Privacy-Preserving Doorway People Counting Using Embedded PIR–Ultrasonic Sensor Fusion
Aryan Biradar
21/07/2026
Occupancy sensing is crucial for smart building automation and energy management systems. Conventional vision-based and cloud-dependent systems raise privacy concerns and often require significant computational resources. This work presents a low-cost, privacy-preserving, offline ...
Unseen Ecosystems: Microbial Life in Soil, Water, and Air
Tanvi Hari
21/07/2026
Microorganisms are vital, yet unseen, components of the biosphere, crucial for nutrient cycling, environmental stability, and ecosystem sustainability. They are distributed across major reservoirs like soil, water, and air, and their presence and characteristics are indicators of environmental quality and ...
Data Center Development and Local Economy: Assessing the Persistence of Economic Growth Benefits
Travyn Rasiah
21/07/2026
This paper examines whether data centers generate sustained local economic growth or whether their effects are short-lived and limited. As demand for cloud computing, artificial intelligence, and digital infrastructure continues to rise, data centers have become increasingly important to regional economic
The Relationship Between Training Load and Perceived Performance in Adolescent Badminton Players
Dominique (Antoine Bailey) Church
21/07/2026
This exploratory study examined how training load, including frequency, duration, and intensity, relates to perceived performance and fatigue in adolescent badminton players. Data were collected over approximately 17 weeks using training logs built with Google Forms. Six adolescent athletes were ...
Attention, Memory, and Classroom Design: A Review of Environment-Based Learning Strategies
JoAnn Morris
21/07/2026
The integration of cognitive psychology into pedagogical practice represents a critical frontier for improving student outcomes. This review investigates the complex relationship between the cognitive processes of attention and memory, exploring how their biological interplay influences the mechanisms of ...
The Interaction Between Tau and Microglia-induced Neuroinflammation as a Cause of Alzheimer's Disease: A Computational Study
Sai Yashasvi Kasthala
21/07/2026
Alzheimer’s disease (AD) is a neurodegenerative disease that is characterized by gradual cognitive decline, memory loss, and neuronal death. Physically, AD is marked by amyloid-beta plaques, tau pathology, and neuroinflammation. While these processes, especially amyloid-beta, are usually studied ...
Causal Impact of State-Level Minimum Wage Increases Between 2015 and 2024 on Employment Rates for Teenagers Aged 16–19 in the United States
Ayush Deshpande
21/07/2026
This study estimates the causal effect of state-level minimum wage increases on the teen employment rate from 2015 to 2024. Using approximately 671,000 person-month CPS observations, I applied a difference-in-differences (DiD) design that compared states which raised their minimum wage above the federal floor value of $7.25 as opposed to states that did not ...
Regime-Aware Consumer Price Index Dynamics in India:A Multi-Methodology Econometric and Machine Learning Framework, 1952-2024
Arnav Aggarwal
21/07/2026
India's Consumer Price Index (CPI) is influenced by both national economic issues and global economic pressures. This study develops a forecasting framework for predicting CPI using nine economic variables—food price inflation (CFPI), wholesale inflation (WPI), Brent crude oil prices, INR–USD ...
The Effects of Loss Aversion Framing on High School Test Performance: A Pilot Study
Maya Alexandra Clark
21/07/2026
This pilot study examined whether loss aversion, a core principle in behavioral economics, affected academic performance when applied to everyday classroom assessments. Across three AP Macroeconomics class periods (N = 36), students had been randomly assigned to take identical quizzes
From Social Exclusion to Inflammation: Cultural, Gendered, and Biological Dimensions of Acculturative Stress in Chinese Immigrant Female Populations
Sarah Wang
21/07/2026
Asian Americans are one of the fastest-growing populations in North America, doubling their population from approximately 11.9 million in 2000 to 24.8 million in 2023 in the United States alone (Krogstad & Im, 2025). Yet, a strong understanding of the issues that this population faces still needs to be developed. ...