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Academic Articles & Research Papers
Showing 20 of 405 academic articles
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...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0108355
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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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
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...
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Open Access (DOAJ)
DOI: 10.3390/ani14192903
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...
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Open Access (DOAJ)
DOI: 10.1186/s41235-017-0060-9
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...
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Open Access (DOAJ)
DOI: 10.1186/s12917-024-04142-4
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 ...
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Open Access (DOAJ)
DOI: 10.1186/s12874-025-02478-5
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...
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Open Access (DOAJ)
DOI: 10.1186/s13075-019-2018-4
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...
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Open Access (DOAJ)
DOI: 10.31000/prima.v8i2.9345
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 ...
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Open Access (DOAJ)
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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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...
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Open Access (DOAJ)
DOI: 10.1371/journal.pcbi.1008342
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...
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DOI: https://doi.org/10.1186/s12911-021-01533-7
PMC: 8176715
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...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-01772-5
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...
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DOI: https://doi.org/10.1017/9781108332873
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...
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DOI: https://doi.org/10.1001/jamaoncol.2016.0213
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...
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Open Access (DOAJ)
DOI: https://doi.org/10.32871/rmrj1604.01.06
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...
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Open Access (DOAJ)
DOI: 10.1016/j.afres.2026.102698
Joanna ŁABĘDZKA • Problemy Eksploatacji
(2016)
The traditional approach to forecasting lies in the assumption that, byapplying a set of powerful analytic tools, the future could be predictedaccurately enough to choose an appropriate strategic direction for it. Theprocess often involves ...
DOAJ
Open Access (DOAJ)
DOI: 10.5604/01.3001.0055.6305
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...
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DOI: https://doi.org/10.1109/34.35496