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The authors analyzed biosolids from five Wisconsin wastewater treatment plants and suggest using KBr pellet FTIR as a simple and rapid method to start characterizing P species in biosolids.

In this study, the authors tested different approaches for removing arsenic from rice. Due to higher arsenic levels in water, some areas grow rice with higher levels as well. This is a health hazard and so developing methods to remove arsenic from the rice will be helpful to many. Using a rapid arsenic kit, the authors found that activated charcoal was the most effective at removing arsenic from rice.

This study investigates the presence of alkaloids in a variety of medicinal plants using the Marquis reagent. They reveal some surprising results and how useful the Marquis reagent is.

This article discusses Alopecia areata, an autoimmune disorder causing sudden hair loss due to the immune system mistakenly attacking hair follicles. The article introduces the use of deep learning (DL) techniques, particularly convolutional neural networks (CNN), for classifying images of healthy and alopecia-affected hair. The study presents a comparative analysis of newly optimized CNN models with existing ones, trained on datasets containing images of healthy and alopecia-affected hair. The Inception-Resnet-v2 model emerged as the most effective for classifying Alopecia Areata.

Here, recognizing that years of training in saber fencing could expectedly result in optimized movements that result in elite skill levels, the authors used motion tracking and statistical analysis to assess the difference in velocity and blade tip velocity of novice and elite fencers during a vertical blade thrust. They found statistically significant differences in blade tip velocity and elbow joint angle kinematics.

The authors test symbiotic relationships among cyanobacteria species to generate more robust cultures for potential biofuel production.

The authors designed a system that runs off of body heat to track body temperature that could help prevent injuries that result from elevated body temperature.

In this article, the authors created CuSbS₂ solar cells. They discovered that the cells' efficiency was affected by the formation of MoS₂. By incorporating a layer of single-walled carbon nanotubes, however, they were able to prevent MoS₂ formation and increase the device's efficiency.

The authors used developed a machine learning tool for studying social media discourse surrounding use of tobacco and cannabis.

The authors looked at genes and pathways that are enriched in glioblastoma multiforme.