Browse Articles

Functional Network Connectivity: Possible Biomarker for Autism Spectrum Disorders (ASD)

Wang et al. | Feb 23, 2015

Functional Network Connectivity: Possible Biomarker for Autism Spectrum Disorders (ASD)

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and is difficult to diagnose in young children. Here magnetoencephalography was used to compare the brain activity in patients with ASD to patients in a control group. The results show that patients with ASD have a high level of activity in different areas of the brain than those in the control group.

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Performance comparison of indoor polyculture utilizing hydroponic and soil-based systems

Sreenath et al. | Jul 26, 2026

Performance comparison of indoor polyculture utilizing hydroponic and soil-based systems

Hydroponics is often promoted as a highly efficient alternative to traditional soil farming, but its effectiveness in small indoor polyculture systems is not well understood. In this study, students compared plant growth and maturity across hydroponic and soil-based indoor polycultures and found that soil grown plants were generally taller and more mature than those grown hydroponically. These results suggest that soil-based methods may outperform hydroponics in certain household polyculture settings.

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The ecological mysteries of Opheodesoma spectabilis : Seasonal trends, habitat preferences, and climate responses

Watson et al. | Jul 26, 2026

The ecological mysteries of <i>Opheodesoma spectabilis</i>	: Seasonal trends, habitat preferences, and climate responses

This study examines how environmental conditions influence the abundance and ecological role of the sea cucumber Opheodesoma spectabilis in Kāneʻohe Bay. Field observations and laboratory experiments showed that the species is more common in algae-dominated sandy habitats, where it improves water clarity and increases dissolved oxygen through bioturbation. However, exposure to very high temperatures caused rapid mortality, suggesting that marine heat waves could threaten this species and the ecological functions it provides.

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Demographic trends of alcohol and marijuana co-use: examining age, gender, and race/ethnicity trends

Ryoo et al. | Jul 05, 2026

Demographic trends of alcohol and marijuana co-use: examining age, gender, and race/ethnicity trends

This study aims to examine the demographic factors that predict patterns of co-use of alcohol and marijuana in the United States. Significant findings were identified using data from the National Survey on Drug Use and Health (2012-2022), showing that there were significant differences in the prevalence of substance use among demographic groups, with young adults showing the highest co-use of alcohol and marijuana.

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Evaluating need for adversarial training data given algorithmic defense methods against adversarial attacks

Yian et al. | Jul 05, 2026

Evaluating need for adversarial training data given algorithmic defense methods against adversarial attacks

The purpose of this study was to determine the necessity of previous non-algorithmic attacks (Adversarial Training) in light of algorithmic defense methods (Gradient Masking and Defensive Distillation) against FGSM attacks. We found a significant increase in image classification accuracy from defense methods with the non-algorithmic defense method compared to ones without. By analyzing the significance with a McNemar test, we determined that the inclusion of non-algorithmic defense methods is still necessary in light of new algorithmic defense methods.

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Using satellite surface temperature data to monitor urban heat island

Meister et al. | Feb 13, 2026

Using satellite surface temperature data to monitor urban heat island
Image credit: Meister, Horvath, and Brown de Colstoun

This manuscript investigates the urban heat island (UHI) effect by utilizing two satellite datasets: Landsat (high spatial resolution, lower temporal resolution) and MODIS (lower spatial resolution, high temporal resolution). The authors hypothesized that Landsat would provide better spatial detail, while MODIS would better capture temporal variations. Their analysis in the Washington D.C.–Baltimore region supports these hypotheses, demonstrating that Landsat offers finer spatial details, whereas MODIS provides more consistent seasonal patterns and better detects heatwave frequencies.

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