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Biological Potential of <i>Tsuga canadensis</i>: A Study on Seed, Cone Essential Oils, and Seed Lipophilic Extract

Anna Wajs-Bonikowska, Ewa Maciejczyk, Łukasz Szoka, Paweł Kwiatkowski et al. • Applied Sciences (2025)

This study investigates the essential oil (EO) isolated from the seeds and cones of Canadian hemlock (Tsuga canadensis), highlighting notable differences in their chemical composition and biological activities. The seed EO was uniquely domi...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15041713

Encapsulation of granulocyte colony-stimulating factor and granulocyte-macrophage colony-stimulating factor in liposomes prepared by thin film hydration and their transfer to mesenchymal stem cells and cord blood hematopoietic stem cells

Sławomir Lewicki, Monika Leśniak, Agnieszka Sobolewska-Ruta, Aneta Lewicka et al. • Archives of Medical Science (2020)

Introduction Cytokines are important immune modulator factors controlling homeostasis of the body and are involved in tissue regeneration after wound healing. The encapsulation of cytokines in liposomes has many advantages potentially usefu...

DOAJ Open Access (DOAJ) DOI: 10.5114/aoms.2020.94527

Inhibition of methyltransferase activity of enhancer of zeste 2 leads to enhanced lipid accumulation and altered chromatin status in zebrafish

Marjo J. den Broeder, Jarle Ballangby, Leonie M. Kamminga, Peter Aleström et al. • Epigenetics & Chromatin (2020)

Abstract Background Recent studies indicate that exposure to environmental chemicals may increase susceptibility to developing metabolic diseases. This susceptibility may in part be caused by changes to the epigenetic landscape which conseq...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13072-020-0329-y

Water mites (Acari, Hydrachnidia) of riparian springs in a small lowland river valley: what are the key factors for species distribution?

Andrzej Zawal, Robert Stryjecki, Edyta Buczyńska, Paweł Buczyński et al. • PeerJ (2018)

This paper examines the impact of disturbance factors—flooding and intermittency—on the distribution of water mites in the riparian springs situated in the valley of a small lowland river, the Krąpiel. The landscape factors and physicochemi...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj.4797

Improved Immunohistochemistry of Mouse Eye Sections Using Davidson&amp;#39;s Fixative and Melanin Bleaching

Anne Longakit, Chloe Hess, Christina Zhang, Catherine Van Raamsdonk • Bio-Protocol (2025)

Immunohistochemistry (IHC) and immunofluorescence (IF) are fundamental molecular biology techniques to assess protein expression. However, the melanin present normally in the eye in the uveal tract (choroid, iris, and ciliary body) and the ...

DOAJ Open Access (DOAJ) DOI: 10.21769/BioProtoc.5510

Causal analysis between altered levels of interleukins and obstructive sleep apnea

Minhan Yi, Minhan Yi, Minhan Yi, Wangcheng Zhao et al. • Frontiers in Immunology (2022)

BackgroundInflammation proteins including interleukins (ILs) have been reported to be related to obstructive sleep apnea (OSA). The aims of this study were to estimate the levels for several key interleukins in OSA and the causal effects be...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2022.888644

Genetic Markers of Adaptation of <named-content content-type="genus-species">Plasmodium falciparum</named-content> to Transmission by American Vectors Identified in the Genomes of Parasites from Haiti and South America

Massimiliano S. Tagliamonte, Charles A. Yowell, Maha A. Elbadry, Jacques Boncy et al. • mSphere (2020)

ABSTRACT The malaria parasite, Plasmodium falciparum, was introduced into Hispaniola and other regions of the Americas through the slave trade spanning the 16th through the 19th centuries. During this period, more than 12 million Africans w...

DOAJ Open Access (DOAJ) DOI: 10.1128/mSphere.00937-20

Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Giovanni Morone, Giovanni Morone, Luigi De Angelis, Luigi De Angelis et al. • Frontiers in Digital Health (2025)

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1550731

DIAGNOSTICS OF RUSTS AND SPOTTS OF WHEAT USING COMPUTER VISION METHODS

Irina V. Arinicheva, Igor V. Arinichev, Galina V. Volkova, Sergey V. Polyanskikh • Siberian Journal of Life Sciences and Agriculture (2022)

Purpose. To investigate the possibility of diagnosing yellow and brown rust (Puccinia striiformis f. sp. tritici West. Puccinia triticina f. sp. tritici Erikss), yellow spot (Pyrenophora tritici-repentis (Died.) Drechsler) on wheat leaves f...

DOAJ Open Access (DOAJ) DOI: 10.12731/2658-6649-2022-14-1-248-261

Humanized substitutions of Vmat1 in mice alter amygdala-dependent behaviors associated with the evolution of anxiety

Daiki X. Sato, Yukiko U. Inoue, Nahoko Kuga, Satoko Hattori et al. • iScience (2022)

Summary: The human vesicular monoamine transporter 1 (VMAT1) harbors unique substitutions (Asn136Thr/Ile) that affect monoamine uptake into synaptic vesicles. These substitutions are absent in all known mammals, suggesting their contributio...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.isci.2022.104800

Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study

Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal et al. • Frontiers in Education (2025)

Given the exponential growth of biochemical data and deep effect of computational methods on life sciences, there is a need to rethink undergraduate curricula. A project-oriented learning approach based on the Triangular Spatial Relationshi...

DOAJ Open Access (DOAJ) DOI: 10.3389/feduc.2024.1455173

Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction

Naledi Lenah Adam, Grzegorz Kowalik, Andrew Tyler, Ronald Mooiweer et al. • Frontiers in Cardiovascular Medicine (2024)

BackgroundSimultaneous multi-slice (SMS) bSSFP imaging enables stress myocardial perfusion imaging with high spatial resolution and increased spatial coverage. Standard parallel imaging techniques (e.g., TGRAPPA) can be used for image recon...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcvm.2024.1350345

High-fidelity single-frame computational super-resolution using signal-preserving denoising-enabled deconvolution

Fudong Xue, Lin Yuan, Wenting He, Zuo’ang Xiang et al. • Nature Communications (2026)

Abstract Computational super-resolution (SR) methods enable nanoscale imaging from single-frame wide-field or spinning-disk confocal images without hardware modifications, yet face limitations: statistical restoration suffers from noise and...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-026-70791-8

Deep learning microscopy

Yair Rivenson, Zoltán S. Göröcs, Harun Günaydın, Yibo Zhang et al. • Optica (2017)

We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field-of-view and depth-of-field. After its training, the only input to this network is an image acquired ...

OPENALEX Open Access DOI: https://doi.org/10.1364/optica.4.001437

Deep Learning in Drug Discovery

Erik Gawehn, Jan A. Hiss, Gisbert Schneider • Molecular Informatics (2015)

Artificial neural networks had their first heyday in molecular informatics and drug discovery approximately two decades ago. Currently, we are witnessing renewed interest in adapting advanced neural network architectures for pharmaceutical ...

OPENALEX DOI: https://doi.org/10.1002/minf.201501008

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

Machine Learning in Enzyme Engineering

Stanislav Mazurenko, Zbyněk Prokop, Jiřı́ Damborský • ACS Catalysis (2019)

Abstract Enzyme engineering plays a central role in developing efficient biocatalysts for biotechnology, biomedicine, and life sciences. Apart from classical rational design and directed evolution approaches, machine learning methods have b...

OPENALEX other-oa DOI: https://doi.org/10.1021/acscatal.9b04321

Calibrated Machine Learning with Temporal Leakage Controls for Rare-Event Forecasting of Port Activity Anomalies: Evidence from Selected African Countries and Indonesia

Tomasz Rokicki, Piotr Bórawski, Aneta Bełdycka-Bórawska, Bogdan Klepacki • Applied Sciences (2026)

Port activity anomalies are rare but may signal operational constraints relevant to supply chains. The aim of the study was to develop and empirically evaluate a calibrated machine learning framework for forecasting rare, algorithmically de...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16189017

Artificial intelligence

Gillian Pocock, M Hugh • Oxford University Press eBooks (1993)

This chapter explores the extensive potential of artificial intelligence (AI), which has been recognized and harnessed by computer scientists, including physics and life sciences. It analyses how AI is applied to those areas of chemistry th...

OPENALEX DOI: https://doi.org/10.1093/hesc/9780198557364.003.0001