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Drinking patterns and alcohol use disorders in São Paulo, Brazil: the role of neighborhood social deprivation and socioeconomic status.

Camila Magalhães Silveira, Erica Rosanna Siu, James C Anthony, Luis Paulo Saito et al. • PLoS ONE (2014)

Research conducted in high-income countries has investigated influences of socioeconomic inequalities on drinking outcomes such as alcohol use disorders (AUD), however, associations between area-level neighborhood social deprivation (NSD) a...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0108355

Oxford Textbook of Public Health

Roger Detels, Robert Beaglehole, Mary Ann Lansang, Martin C. Gulliford • RePEc: Research Papers in Economics (2011)

SECTION 1: THE DEVELOPMENT OF THE DISCIPLINE OF PUBLIC HEALTH 1.1 The scope and concerns of public health 1.2 The history and development of public health in high-income countries 1.3 The history and development of public health in low- and...

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Modelling Potassium Properties in East African Soils Using Infrared Spectroscopy

A. M. Tye, K. Leeming, M. R. Cave, S. J. Kemp et al. • Applied and Environmental Soil Science (2026)

Potassium (K) is an essential plant nutrient and is often in short supply in the highly weathered soils of East Africa. The development of effective and sustainable fertilisation strategies could be helped by developing rapid and relatively...

DOAJ Open Access (DOAJ) DOI: 10.1155/aess/1909857

Predicting Microbial Protein Synthesis in Cattle: Evaluation of Extant Equations and Steps Needed to Improve Accuracy and Precision of Future Equations

Michael L. Galyean, Luis O. Tedeschi • Animals (2024)

Predictions of microbial crude protein (MCP) synthesis for beef cattle generally rely on empirical regression equations, with intakes of energy and protein as key variables. Using a database from published literature, we developed new equat...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani14192903

Embodied science and mixed reality: How gesture and motion capture affect physics education

Mina C. Johnson-Glenberg, Colleen Megowan-Romanowicz • Cognitive Research (2017)

Abstract A mixed design was created using text and game-like multimedia to instruct in the content of physics. The study assessed which variables predicted learning gains after a 1-h lesson on the electric field. The three manipulated varia...

DOAJ Open Access (DOAJ) DOI: 10.1186/s41235-017-0060-9

Diversity of Rickettsia species in collected ticks from Southeast Iran

Ali Qorbani, Mohammad Khalili, Saeidreza Nourollahifard, Ehsan Mostafavi et al. • BMC Veterinary Research (2024)

Abstract Rickettsia occurs worldwide and rickettsiosis is recognized as an emerging infection in several parts of the world. Ticks are reservoir hosts for pathogenic Rickettsia species in humans and domestic animals. Most pathogenic Rickett...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12917-024-04142-4

Construction of the cancer patients’ database based on the US National Health and Nutrition Examination Survey (NHANES) datasets for cancer epidemiology research

Jinyoung Moon, Yongseok Mun • BMC Medical Research Methodology (2025)

Abstract Background The US National Health and Nutrition Examination Survey (NHANES) dataset does not include a specific question or laboratory test to confirm a history of cancer diagnosis. However, if straightforward variables for cancer ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12874-025-02478-5

A distinct gut microbiota composition in patients with ankylosing spondylitis is associated with increased levels of fecal calprotectin

Eva Klingberg, Maria K. Magnusson, Hans Strid, Anna Deminger et al. • Arthritis Research & Therapy (2019)

Abstract Background Ankylosing spondylitis (AS) shares many characteristics with inflammatory bowel disease (IBD). Intestinal microbiota most likely plays an important role in the development of IBDs and may also be involved in the pathogen...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13075-019-2018-4

DEVELOPMENT OF STEM-BASED DIGITAL POCKETBOOK ON SPLDV MATERIAL USING THE ADDIE MODEL: APPLICATION IN ONLINE LEARNING ENVIRONMENTS

Komarudin Komarudin, Suherman Suherman, Laila Puspita • Prima: Jurnal Pendidikan Matematika (2024)

This study aims to assess the feasibility, teacher and student responses, and effectiveness of the STEM-based digital pocketbook on the topic of Systems of Linear Equations in Two Variables (SPLDV). The subjects of this research were junior...

DOAJ Open Access (DOAJ) DOI: 10.31000/prima.v8i2.9345

Understanding Customers' Opinion using Web Scraping and Natural Language Processing

Alin-Gabriel Vaduva, Simona-Vasilica Oprea, Dragos-Catalin Barbu • Ovidius University Annals: Economic Sciences Series (2023)

The web offers large volumes of data that is unstructured and fails to be further processed if not extracted and organized into local variables or into databases. In this paper, we aim to extract data from the Internet using web scraping ...

DOAJ Open Access (DOAJ)

Bias and Fairness in Natural Language Processing

Kai-Wei Chang, Vinod M. Prabhakaran, Vicente Ordóñez • Conference on Empirical Methods in Natural Language Processing (EMNLP) (2019)

Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...

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A recurrent neural network framework for flexible and adaptive decision making based on sequence learning.

Zhewei Zhang, Huzi Cheng, Tianming Yang • PLoS Computational Biology (2020)

The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. Th...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pcbi.1008342

A systematic review of natural language processing applied to radiology reports

Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making (2021)

BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-021-01533-7 PMC: 8176715

Ensembles machine learning for short duration rainfall intensity forecasting

Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence (2026)

Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01772-5

Natural Language Processing

Yue Zhang, Zhiyang Teng • Cambridge University Press eBooks (2020)

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are sy...

OPENALEX DOI: https://doi.org/10.1017/9781108332873

Natural Language Processing in Oncology

Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology (2016)

IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...

OPENALEX DOI: https://doi.org/10.1001/jamaoncol.2016.0213

Displacement and Illumination Levels Effect on Short-distance Measurement Errors of Using a Camera

Eduardo D. Piedad Jr., Ricky B. Villeta • Recoletos Multidisciplinary Research Journal (2016)

Using a camera for measurement reading is simplified through the incorporation of computer vision application. The variations in the environment’s setting, however, may constitute to the occurrence of measurement errors. A study investigate...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.32871/rmrj1604.01.06

Studying the causes of humidity fluctuations in food products within industrial environments

Elouanes Khelifi, Amir Saki, Sousso Kelouwani, Usef Faghihi • Applied Food Research (2026)

The production of processed foods and animal nutrition requires precise control over product characteristics to ensure consistent quality. Unexpected fluctuations in key parameters, particularly humidity, can lead to significant financial l...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102698

Evaluation of quantization error in computer vision

Behrooz Kamgar-Parsi, Behzad Kamgar-Parsi • IEEE Transactions on Pattern Analysis and Machine Intelligence (1989)

Due to the important role that digitization error plays in the field of computer vision, a careful analysis of its impact on the computational approaches used in the field is necessary. The authors develop the mathematical tools for the com...

OPENALEX DOI: https://doi.org/10.1109/34.35496