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Heme iron amplifies azoxymethane initiating effect on rat colon preneoplastic lesions

Julia Keller, Pascale Plaisancié, Edwin Fouché, Edwige-Marie Pralet et al. • Redox Experimental Medicine (2025)

Objective: Colorectal cancer is a major public health issue for which dietary factors such as red and processed meat consumption seem to play a prominent role. Heme iron, which is present in important concentration in those food products, w...

DOAJ Open Access (DOAJ) DOI: 10.1530/REM-25-0001

Dietary effects of protein and lipid levels on growth performance and flesh quality of large-size largemouth bass (Micropterus salmoides)

Yunfeng Chen, Hang Yang, Beibei Guo, Xiaoqin Li et al. • Aquaculture Reports (2023)

The aim of this trial was to investigate the effects of dietary protein and lipid levels on growth performance and flesh quality of largemouth bass (Micropterus salmoides). A 3 × 3 two-factor design was used, including three crude protein l...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aqrep.2023.101852

Current Trends in Tolerance Induction in Cow's Milk Allergy: From Passive to Proactive Strategies

Cansin Sackesen, Derya Ufuk Altintas, Aysen Bingol, Gulbin Bingol et al. • Frontiers in Pediatrics (2019)

This review addresses the current strategies of inducing tolerance development in infant and childhood cow's milk protein allergy (CMPA). The change in prevention strategies for CMPA has been emphasized based on the lack of evidence to supp...

DOAJ Open Access (DOAJ) DOI: 10.3389/fped.2019.00372

Valorisation of agri-food by-products into bioactive compounds: Green extraction, microbial biotransformation and circular biorefinery strategies

Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research (2026)

Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102511

AI and Chatbot-Supported Interventions for Physical Activity and Obesity-Related Lifestyle Behaviors: Scoping Review With Attention to Family Involvement

Qianxia Jiang, Xiayu Summer Chen, Dev Patel, Keith Brazendale et al. • JMIR Pediatrics and Parenting (2026)

Abstract BackgroundAI-enabled chatbots and related conversational systems can facilitate human–computer interaction through natural language, personalization, and automated support. In pediatric health promotion, these tools hav...

DOAJ Open Access (DOAJ) DOI: 10.2196/98889

An Automated Image-Based Dietary Assessment System for Mediterranean Foods

Fotios S. Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis • IEEE Open Journal of Engineering in Medicine and Biology (2023)

Goal: The modern way of living has significantly influenced the daily diet. The ever-increasing number of people with obesity, diabetes and cardiovascular diseases stresses the need to find tools that could help in the daily intake of the n...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJEMB.2023.3266135

CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets

Orges Koci, Richard K. Russell, M. Guftar Shaikh, Christine Edwards et al. • Microbiome (2024)

Abstract Background Shotgun metagenomics for microbial community survey recovers enormous amount of information for microbial genomes that include their abundances, taxonomic, and phylogenetic information, as well as their genomic makeup, t...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40168-024-01834-9

Burnout Risk Profiles in Psychology Students: An Exploratory Study with Machine Learning

M. Graça Pereira, Martim Santos, Renata Magalhães, Cláudia Rodrigues et al. • Behavioral Sciences (2025)

University students are at increased risk of developing burnout and psychological distress from high academic workloads and performance expectations. The purpose of this study is to analyze the relationship between psychological and lifesty...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs15040505

Machine learning in manufacturing: advantages, challenges, and applications

Thorsten Wuest, Daniel Weimer, Christopher Irgens, Klaus‐Dieter Thoben • Production & Manufacturing Research (2016)

The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means av...

OPENALEX cc-by DOI: https://doi.org/10.1080/21693277.2016.1192517

Overfitting and undercomputing in machine learning

Thomas G. Dietterich • ACM Computing Surveys (1995)

suggests a reasonable line of research: find algorithms that can search the hypothesis class better. Hence, there is been extensive research in applying second-order methods to fit neural networks and in conducting much more thorough search...

OPENALEX Open Access DOI: https://doi.org/10.1145/212094.212114

Readings in Machine Learning

JUDE W. SHAVLIK, Thomas E. Deitterich, Thomas G. Dietterich (1991)

From the Publisher: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous ...

OPENALEX

Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection

Inese Polaka, Danute Razuka-Ebela, Jin Young Park, Marcis Leja • BioData Mining (2021)

Abstract Background The amount of available and potentially significant data describing study subjects is ever growing with the introduction and integration of different registries and data banks. The single specific attribute of these data...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13040-021-00271-w

Optimizing Ultrasonic-Assisted Extraction Process of <i>Paralepista flaccida</i>: A Comparative Study of Antioxidant, Anticholinesterase, and Antiproliferative Activities via Response Surface Methodology and Artificial Neural Network Modeling

Mustafa Sevindik, Ayşenur Gürgen, Aras Fahrettin Korkmaz, Ilgaz Akata • Molecules (2025)

In this study, extraction conditions were optimized to maximize the biological activities of extracts obtained from Paralepista flaccida, an edible mushroom species. Extraction processes were carried out using an ultrasonically assisted sys...

DOAJ Open Access (DOAJ) DOI: 10.3390/molecules30163317

Artificial intelligence: A powerful paradigm for scientific research

Yongjun Xu, Xin Liu, Xin Cao, Changping Huang et al. • The Innovation (2021)

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day li...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.xinn.2021.100179 PMC: 8633405