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Prediction of Transcription Factor Binding Sites of SP1 on Human Chromosome1

open access: yesApplied Sciences, 2021
Transcription factors (TFs) are proteins that control the transcription of a gene from DNA to messenger RNA (mRNA). TFs bind to a specific DNA sequence called a binding site. Transcription factor binding sites have not yet been completely identified, and
Maiada M. Mahmoud   +2 more
doaj   +1 more source

Adapting harm reduction services during COVID-19: lessons from the supervised injecting facilities in Australia

open access: yesHarm Reduction Journal, 2021
The COVID-19 crisis has had profound impacts on health service provision, particularly those providing client facing services. Supervised injecting facilities and drug consumption rooms across the world have been particularly challenged during the ...
Amanda Roxburgh   +8 more
doaj   +1 more source

Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project

open access: yesAnnals of Medicine, 2023
Background Candidemia is associated with a heavy burden of morbidity and mortality in hospitalized patients. The availability of blood culture results could require up to 48–72 h after blood draw; thus, early treatment decisions are made in the absence ...
Daniele Roberto Giacobbe   +16 more
doaj   +1 more source

Land Cover Changes Based on Landsat Imagery Interpretation

open access: yesJurnal Teknik Pertanian Lampung, 2023
This paper presents the use of satellite data (i.e., Landsat-5 & Landsat-8) to interpret the change of land cover from 1997 to 2020. The study area covers the administrative boundary of Lumajang Regency.
Chairiyah Umi Rahayu   +4 more
doaj   +1 more source

Shapley-Additive-Explanations-Based Factor Analysis for Dengue Severity Prediction using Machine Learning

open access: yesJournal of Imaging, 2022
Dengue is a viral disease that primarily affects tropical and subtropical regions and is especially prevalent in South-East Asia. This mosquito-borne disease sometimes triggers nationwide epidemics, which results in a large number of fatalities.
Shihab Uddin Chowdhury   +5 more
doaj   +1 more source

Analysis of Graphomotor Tests with Machine Learning Algorithms for an Early and Universal Pre-Diagnosis of Dysgraphia

open access: yesSensors, 2021
Five to ten percent of school-aged children display dysgraphia, a neuro-motor disorder that causes difficulties in handwriting, which becomes a handicap in the daily life of these children. Yet, the diagnosis of dysgraphia remains tedious, subjective and
Louis Devillaine   +6 more
doaj   +1 more source

Robust Ensemble Machine Learning Model for Filtering Phishing URLs: Expandable Random Gradient Stacked Voting Classifier (ERG-SVC)

open access: yesIEEE Access, 2021
As cyber-attacks grow fast and complicated, the cybersecurity industry faces challenges to utilize state-of-the-art technology and strategies to battle the consistently present malicious threats.
Pubudu L. Indrasiri   +2 more
doaj   +1 more source

Finding the Generic Hygrothermal Properties of Historical Bricks by Supervised Agglomerative Clustering

open access: yesEnvironmental and Climate Technologies, 2022
Finding the generic hygrothermal properties of historical brick for application in Heat Air and Moisture (HAM) simulation programs such as Delphin, Wufi, etc., is the main objective of this paper.
Freimanis Ritvars   +4 more
doaj   +1 more source

DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral Unmixing

open access: yesRemote Sensing, 2022
Hyperspectral unmixing (HSU) is a crucial method to determine the fractional abundance of the material (endmembers) in each pixel. Most spectral unmixing methods are affected by low signal-to-noise ratios because of noisy pixels and bands simultaneously,
Fazal Hadi   +5 more
doaj   +1 more source

Ultra-High-Resolution UAV-Based Detection of Alternaria solani Infections in Potato Fields

open access: yesRemote Sensing, 2022
Automatic detection of foliar diseases in potato fields, such as early blight caused by Alternaria solani, could allow farmers to reduce the application of plant protection products while minimizing production losses.
Ruben Van De Vijver   +8 more
doaj   +1 more source

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