Assessing the Potential of Brewer's Spent Grain to Enhance Cookie Physicochemical and Nutritional Profiles.

Brewers' spent grain (BSG), the major by-product of the brewery industry, has high nutritional value, making it suitable for upcycling into products such as healthy, and sustainable cookies. Nonetheless, the incorporation of BSG in cookies can impact their quality, given the increased fiber and protein content. This work explored the effect of replacing wheat flour with BSG at 50% and 75% in cookie formulations, focusing on physical, chemical, and sensory properties.

Results of a Global Survey on the State of Interventional Radiology 2024.

Purpose: To understand the state of IR practice and education worldwide and identify factors impacting access to IR services.

Methods And Materials: A Society of Interventional Radiology (SIR) approved anonymous survey was created to gather demographics, regional IR practice and education characteristics, and challenges impacting local IR development. The survey was distributed to members of global IR societies and shared on social media from 6/2022 to 9/2023.

The Nitrogen Preference of Cactus Pear (): A Sand Culture Snapshot.

Cactus pear ( (L.) Mill.) is an important agricultural crassulacean acid metabolism (CAM) species used as a source of food, forage, fodder, and secondary products and as a biofuel feedstock.

In vitro assays identified thiohydantoins with anti-trypanosomatid activity and molecular modelling studies indicated possible selective CYP51 inhibition.

This work investigates the anti-trypanosomal activities of ten thiohydantoin derivatives against the parasite Trypanosoma cruzi. Compounds with aliphatic chains (THD1, THD3, and THD5) exhibited the most promising IC against the epimastigote form of T. cruzi.

Efficiently accelerated bioimage analysis with NanoPyx, a Liquid Engine-powered Python framework.

The expanding scale and complexity of microscopy image datasets require accelerated analytical workflows. NanoPyx meets this need through an adaptive framework enhanced for high-speed analysis. At the core of NanoPyx, the Liquid Engine dynamically generates optimized central processing unit and graphics processing unit code variations, learning and predicting the fastest based on input data and hardware.