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Pressing filtration for extraction of cabbage dietary fiber and soluble components

Xie et al. | Nov 16, 2025

Pressing filtration for extraction of cabbage dietary fiber and soluble components
Image credit: Shelley Pauls

Here the authors introduce pressing filtration as a novel, efficient, and low-energy method for extracting dietary fiber from cabbage, which successfully retains heat-sensitive nutrients and achieves a high fiber yield. The study demonstrates the scalability and economic viability of this technique for commercial use, highlighting that the resulting high-fiber cabbage powder can be incorporated into familiar foods like hamburger buns and beef patties without compromising taste or sensory quality.

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Exploring the Factors that Drive Coffee Ratings

Agarwal et al. | May 19, 2025

Exploring the Factors that Drive Coffee Ratings

This study explores the factors that influence coffee quality ratings using data from the Coffee Quality Institute. Through a regression model based on gradient descent, the authors aimed to predict coffee ratings (total cup points) and hypothesized that sweetness and the coffee producer would be the most influential factors.

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An improved video fingerprinting attack on users of the Tor network

Srikanth et al. | Mar 31, 2022

An improved video fingerprinting attack on users of the Tor network

The Tor network allows individuals to secure their online identities by encrypting their traffic, however it is vulnerable to fingerprinting attacks that threaten users' online privacy. In this paper, the authors develop a new video fingerprinting model to explore how well video streaming can be fingerprinted in Tor. They found that their model could distinguish which one of 50 videos a user was hypothetically watching on the Tor network with 85% accuracy, demonstrating that video fingerprinting is a serious threat to the privacy of Tor users.

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Improving measurement of reducing sugar content in carbonated beverages using Fehling’s reagent

Zhang et al. | Jul 21, 2020

Improving measurement of reducing sugar content in carbonated beverages using Fehling’s reagent

The sugar-rich modern diet underlies a suite of metabolic disorders, most common of which is diabetes. Accurately reporting the sugar content of pre-packaged food and drink items can help consumers track their sugar intake better, facilitating more cognisant and, eventually, moderate consumption of high-sugar items. In this article, the authors examine the effect of several variables on the accuracy of Fehling's reaction, a colorimetric reaction used to estimate sugar content.

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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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