May 2026 Issue

This paper introduces a mathematical model explaining why the Coffer Illusion is initially perceived as geometric shapes, revealing the precise visual cues.

Nickel, Iron, Cobalt, and Copper metal-based coatings was added to the photolytic catalyst, graphitic carbon nitride (g-C3N4), in order to react with polyvinyl chloride, so the solvent of the reacted solution could be analyzed through gas chromatography.

This paper examines the differences in gray and white matter atrophy patterns in neurodegenerative diseases and their impact on cognitive function.

Measuring sun’s rotational period from sunspots shows differential rotation: longer at higher latitudes, shorter at the equator.

This study computationally identifies a high-affinity VEGFR2-binding Fab and models its integration into an engineered oncolytic virus to block angiogenesis and enhance targeted therapy for Non-Small Cell Lung Cancer.

This work establishes new state of the art for detection and classification of radio galaxies through a novel machine learning architecture.

This study systematically evaluates the molecular similarity principle across eight protein targets and shows that its predictive power varies by protein family.

In this work we present Qartographer, an open-source Python framework for optimizing ancillary control layouts in quantum processors.

This study presents the Cellular Deepfake Engine, a novel generative AI framework designed to produce high-fidelity, biologically plausible microscopy images across three domains: blood cells, nuclei, and cancerous cells.

This research presents a fully in silico pipeline for engineering a Bispecific T-Cell Engager by identifying and validating scFv antibodies that target CD22 and the T-cell receptor for acute lymphoblastic leukemia therapy.

Supervised and unsupervised machine learning models are used to find patterns in galaxy cluster and supercluster features.

This study aims to develop a Neural Network (NN)-based system that regulates room temperature by generating command signals for the valve and bypass damper in a traditional HVAC setup, given suboptimal past control data.

Using evolutionary algorithms, this work models how virtual genomes self-optimize traits over time, offering insights into adaptation, complexity, and cellular decision-making.

This study investigates how an AI-enabled agent can address student barriers and enhance participation in high school extracurricular programs.

This paper provides a novel, unsupervised machine learning pipeline for exoplanet anomaly classification.

Arduino Module controlled electronic circuits for generating high voltage pulse by utilizing charging/discharging capacitor and relay bank in energizing four pairs of inductive coils.

This research paper presents a computational pipeline that identifies key GLP-1 Receptor binding determinants and proposes improved liraglutide variants for next-generation weight-management therapies.

This longitudinal machine learning analysis reveals that drivers of residential energy tax credit adoption have shifted over time, making educational attainment a key driver and revealing structural barriers that exclude less-educated households from utilizing these tax incentives.

This study combines AI-driven molecular design with computational docking validation to identify novel ferroptosis inhibitors for Parkinson's disease treatment.

A computational investigation identifying and evaluating potential small-molecule binding sites on the GITR protein to inform immunotherapy strategies.

By examining listening patterns and productivity, this study reveals that calm and structured music can support mental focus in students.

A hybrid pipeline including a modified BFAST, convolutional neural network embeddings and a XGBoost achieving a ~97% accuracy on a synthet-ic tropical-forest time series and classify into 5 major classes.

A system that analyzes user MIDI files and generates musically coherent continuations using AI.

This study presents a computational framework that integrates patient narratives with symptom scales using aspect-based sentiment analysis to generate an interpretable longitudinal wellness index for clinical assessment.

Timed exposures to caffeine and ethanol in Caenorhabditis elegans reveal that both reduce reproductive success; chronic caffeine exposure nearly eliminated egg production and viable progeny, while brief peri-ovulatory ethanol exposure increased egg production but sharply reduced embryo viability.

This study describes the design and testing of a 3D-printed centrifuge for the preparation of saliva samples for disease detection.

This study assessed the degree of emotional salience elicited by negatively associated environmental images (e.g., pollution) in the Attentional Blink paradigm.

A hybrid strategy of small molecule drug design that combined evolutionary and crowd sourced designs yielded novel synthetically accessible candidate inhibitors of the Kna1.2 channel implicated in developmental epileptic encephalopathies.

This study validates a low-cost, sensor-based "Smart Compression Sleeve" that successfully quantifies significant deficits in knee flexion (-27.3%) and postural stability (+38.9%) in patients with injuries, proving its value as an objective tool for data-driven rehabilitation.

This study is a preliminary step to understanding how space is represented in movies - an investigation of spatial reference frames, spatial cues, and conflict between frames and cues that could affect a movie watcher’s perception of space.

Analysis of gravel occurrence data revealed a sedimentary series in Western Bangladesh that contained evidence of a large-scale fluvial event in the Early Holocene.

This study examines the impact that tutor engagement, attention, and emotions have on student reading growth throughout a 6-week tutoring period.

Producing a microfluidic mixing channel for radiotracer synthesis on a lab on chip device.

This study conducts a large-scale genomic and bioinformatic analysis of familial hypercholesterolemia-associated mutations, revealing variant con-sequences, functional enrichment patterns, and mutation spectrum trends that inform precision gene therapy development.

This project shows how Topology Optimization and 3D Printing can reduce drone weight without sacrificing strength, opening the door to more capable and accessible drones.

This study models the water and energy consumption of large-language model inference at the token level and evaluates a Chrome extension that provides real-time eco-feedback to improve user prompt efficiency.

Utilizing the peroxisome proliferator-activated receptor gamma pathway (PPARꝩ) for immunotherapy in lung cancer models.

This project attempts to produce the subtilin precursor SpaS in E. coli to support new antibiotic development.

This work deals with the synthesis of cat litter material using sustainable materials and testing their properties.

Low Endotoxin Recovery, a false negative in endotoxin testing, was studied comparatively and for viable solutions.

This study develops an AI-based Random Forest framework that integrates genetic variants and demographic data to accurately predict speech outcomes after cochlear implantation, supporting personalized prognosis and rehabilitation strategies.

An investigation of the Dead-Cone effect in proton-proton collision simulations using the Energy-Energy Correlator.

A waterway study looking at heavy metal concentrations in the Cumberland River and how those concentrations change when moving through farmland to an urban environment (Nashville).

The paper examines China–United States attitudes toward disability, finding stronger medical-model views in China, greater United States support for equal employment, and disabled Chinese respondents ranking inclusive education as the most effective awareness strategy.

An overview of investigating whether salt deposits and organic carbon traces can reveal the environmental history and surface exposure duration of Beacon Valley.

DNA methylation is an epigenetic mechanism that uncovers methylation patterns associated with adversity type, timing, and participant de-mographics.

Test of 6 sites, 3 restored and 3 not yet restored, pH, Salinity, and growth effect to determine the effect of restoration on soil health.

An operant preference test was designed to assess female zebra finch preferences towards male courtship song characteristics.

This research project aims to study the effects of synonymous mutations on the 3cpro interactions with proteins in the assembly of the FMDV capsid.

The creation of a cost-effective device to measure soil compaction.

This study investigates how a wearable UV-monitoring intervention can improve sun-protection habits, skin-health awareness, and understanding of vitamin D among adolescents.

Develop and validate a non-lethal, functional methodology for measuring spinal cord regeneration after injury that matches the accuracy of cellular histology while increasing experimental throughput.

This study examines how proteins, Profilin-2 and NCAM-1, play a role in regulating the synaptic remodeling process in restructuring neurons during neural development in C. elegans, offering insight into intracellular mechanisms that shape functional neural circuits.

This study carries out an empirical analysis on a randomized experiment carried out on high school students to investigate the role of anchoring bias on decision making and how other mediators (such as financial literacy) can mitigate this effect.

Auditory vignettes were found to elicit emotions in a political context, but did not reduce the polarization that plagues American politics.

Exploring the difference in the formation of microspheres between a Y-splitter and a Flow-focusing microfluidic device.

Climate models were used to predict the effects of different levels of climate change on the North American climate patterns.

This project investigates how the Golgi flippase Neo1regulates protein trafficking by controlling the localization of the Arf-GEF Gea2 through PI4P lipid flipping.

A bispecific protein designed to inhibit IL-1β while targeting type II collagen to localize anti-inflammatory therapy in osteoarthritis.

An exposition and analysis of the Fehu Function, its properties, and its place in the realm of mathematics.

An artificial intelligence–driven user-friendly enzyme-engineering workflow accelerated the optimization of a metagenomic polyurethane-degrading urethanase.

Monitoring DNA hybridization with FRET