Results 91 to 100 of about 35,671 (228)

Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Fruit juice quality is regulated by European Union legislation; however, adulteration by adding cheaper alternatives, such as white grape juice, remains a prevalent issue. This practice constitutes economic fraud and poses health risks to consumers, including potential allergic reactions to the adulterant.
José Luis P Calle, Marta Ferreiro‐González, Miguel Palma   +2 more
wiley   +1 more source

Unleashing the power of visible‐near infrared spectroscopy: predicting Golden Delicious apple enzyme activity

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Enzymatic browning is a significant reaction in fruits that affects their color, appearance, and quality. The quality of apples, as a perishable product, is mainly influenced by the activity of two browning‐related enzymes, polyphenol oxidase (PPO) and peroxidase (POD), during storage.
Tarahom Mesri Gundoshmian, Mahsa Sadat Razavi, Reza Akbari, Mohammad Tahmasebi, Irene Locatelli, Silvia Grassi   +5 more
wiley   +1 more source

Impact of Cardiometabolic Risk Factors and Steatotic Liver Disease on Liver‐Related Outcomes in Patients With Chronic Hepatitis C After Curative Antiviral Therapy

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Patients with chronic hepatitis C (CHC) frequently present with steatotic liver disease (SLD) and cardiometabolic risk factors (CMRFs). This study aimed to evaluate the impact of SLD and CMRFs on liver‐related outcomes (LROs) in CHC patients after HCV eradication.
Chung‐Feng Huang, Yi‐Hung Lin, Pei‐Chien Tsai, Ming‐Lun Yeh, Chih‐Wen Wang, Tyng‐Yuan Jang, Po‐Cheng Liang, Yu‐Ju Wei, Nai‐Jen Hou, Ming‐Yen Hsieh, Chao‐Kuan Huang, Tzu‐Chun Lin, Jee‐Fu Huang, Chia‐Yen Dai, Wan‐Long Chuang, Ming‐Lung Yu   +15 more
wiley   +1 more source

Estimating Soil Compaction Risk at Regional Scales Using Meteorological Data and Soil Spectroscopy

Land Degradation &Development, EarlyView.
ABSTRACT Soil compaction is a significant form of soil degradation in Europe, reducing agricultural productivity, limiting carbon sequestration and increasing greenhouse gases emissions. In response, the forthcoming European Union Soil Monitoring and Resilience Law requires spatial assessment of topsoil and subsoil compaction risk at district, that is,
Felipe Bachion de Santana, Rebecca. L. Hall, Longnan Shi, Owen Fenton, Victoria Lowe, Giulia Bondi, Lilian O'Sullivan, Karen Daly   +7 more
wiley   +1 more source

Mapping Soil Salinity Prediction Enhanced by Time‐Series Remote Sensing Features

Land Degradation &Development, EarlyView.
ABSTRACT Gaining timely knowledge of soil salinity's spatiotemporal dynamics is crucial for accurate mapping. Through temporal span comparisons, this study systematically extracts and utilizes time‐series features (TSFs) derived from Sentinel‐2 and Landsat 8 NDVI and SAVI data (2019–2023) to enhance prediction accuracy. Three datasets were constructed:
Wenji Zhu, Binglong Gao, Yongqi Chen, Chao Dong   +3 more
wiley   +1 more source

AI/ML Enabled High‐Throughput Design and Synthesis for Energetic Molecules

Materials Genome Engineering Advances, EarlyView.
Novel design methods for a special kind of functional molecules — the energetic molecules—are summarized. Both classic Machine Learning (ML) and Artificial Intelligence (AI) generative models are utilized for the high‐throughput design of these energetic molecules, and a sort of high‐energy low‐sensitivity molecules are obtained.
Wen Qian
wiley   +1 more source

Symbolic Regression‐Guided Feature Engineering for Predicting Magnetization in Cu‐Based Alloys Under Data‐Scarce Conditions

Materials Genome Engineering Advances, EarlyView.
A symbolic regression approach (SISSO) with physics‐informed feature engineering achieves high‐accuracy prediction of magnetic properties in Cu‐based alloys under data‐scarce conditions. The framework offers an interpretable and transferable strategy for accelerated alloy design.
Buyang Ma, Jiejie Li, Qiuju Zhang, Fenghua Chen, Bo Li, Ziqi Tian, Liang Chen   +6 more
wiley   +1 more source

Enhancing Structural Reliability of Composite Adhesive Joints: An Integrated Experimental‐Numerical‐Machine Learning Framework for Material‐Geometric Co‐Optimization

Polymer Composites, EarlyView.
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley   +1 more source

Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions

Portal Hypertension &Cirrhosis, EarlyView.
This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley   +1 more source

In Situ Curing‐Enabled 3D Printing of Continuous Fiber‐Reinforced Thermosetting Composites

Journal of Polymer Science, EarlyView.
In situ curing‐enabled the 3D printing of continuous fiber/thermoset composites, which were reviewed. Particularly, four types of in situ curing, were discussed, including Radiation‐induced curing, photothermal curing, electrothermal curing, and frontal polymerization. AI‐integrated printing was also analyzed.
Xiaofei Wu, Harrison Hayworth, Shiren Wang   +2 more
wiley   +1 more source