World beer production generates large volumes of waste discharged with every brew.Recently, new methods of reducing and reusing hops waste: hot trub (HT), and brewer-spent hops (BSH) are being exploited to improve the circular economy processes.This review outlines the current achievements in the management of hops waste.Following an in-depth revie
A Deep Learning Approach for Diagnosis Support in Breast Cancer Microwave Tomography
In this paper, a deep learning technique for tumor detection in a microwave tomography Barretta per Capelli framework is proposed.Providing an easy and effective imaging technique for breast cancer detection is one of the main focuses for biomedical researchers.Recently, microwave tomography gained a great attention due to its ability to reconstruc
Distribution and Variation of Soil Water and Salt before and after Autumn Irrigation
Autumn irrigation is a key measure for alleviating soil salinity and promoting sustainable agricultural development in the Hetao Irrigation district; however, only a part of farmland is irrigated in autumn during the non-growth period of crops, which leads to the Lifestyle redistribution of soil water and salt between autumn-irrigated land (AIL) an
A novel framework for debris flow susceptibility assessment considering the uncertainty of sample selection
The uncertainty arising from random sampling of non-debris flow samples significantly impacts the accuracy of debris flow susceptibility assessments (DFSA).This study introduces a novel uncertainty elimination method, Kernel Density Estimation (KDE), and compares it with Mean and Maximum Probability Analysis (MPA) methods.Furthermore, we investigat