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Bacterial volatile organic compounds and gene-induced host-defense pathways
(ELSEVIER, 2022)The microbial volatile organic compounds (VOCs) directly and/or indirectly play a role in plant/fungi-microbe interactions. A number of different bacterial VOCs have been identified, comprising polyaromatic hydrocarbons. ... -
Cell-extracellular matrix adhesion assay
(Humana Press Inc., 2020)Adhesion is defined as a fundamental ability of the adherent cells isolated from the multicellular organisms to attach to an extracellular matrix or another cell, and it takes a key role in a wide variety of the important ... -
Criteria for Best Architecture Selection in Artificial Neural Networks
(World Scientific Publishing Co., 2022)Architecture selection in artificial neural networks is a critical process which determines a satisfactory neural network model(s) that will lead to the most accurate results. The architecture that minimizes the difference ... -
Electrochemical Carbon Dioxide Detection
(Elsevier, 2023)In this chapter, initially, the concerns about global warming and greenhouse effects, and the research on sensing, capturing, and monitoring carbon dioxide (CO2) have been discussed in a general manner. After that, the ... -
Event-Oriented, Model-Based GUI Testing and Reliability Assessment-Approach and Case Study
(Elsevier Academic Press Inc, 2012)It is widely accepted that graphical user interfaces (GUIs) highly affect-positive or negative-the quality and reliability of human-machine systems. However, quantitative assessment of the reliability of GUIs is a relatively ... -
Host-Induced Gene Silencing: Approaches in Plant Disease Management
(Springer International Publishing, 2023)Crops exposed to the damage of various biotic and abiotic sources result in reduced yields and cause economic losses. There are prominent strategies such as breeding for improved resistance, the application of pesticides, ... -
Lichens as a Promising Source of Unique and Functional Small Molecules for Human Health and Well-Being
(Elsevier Science Bv, 2018)Drug design and discovery processes are very important for human health because of the prevalence of many diseases for which there is no known medical cure. Much scientific effort backed by the financial support of governments ... -
A missing dilemma on nanoparticle producer microorganisms
(Springer Singapore, 2020)The development of eco-friendly biological methods in material synthesis has been reported with chemically well-defined variety of inorganic nanoparticles (NP) that are produced by using various microorganisms. In last ... -
Nanomaterials-mediated oxidative stress in cancer: Recent trends and future perspectives
(Pan Stanford Publishing Pte. Ltd, 2022)The malignant tissue that is formed as a result of carcinogenesis, which causes the cells to continuously increase their dividing capacity by exhibiting abnormal behavior, may damage the surrounding tissues and prevent ... -
A New Perspective on Cryotherapy: Pathogen Elimination Using Plant Shoot Apical Meristem via Cryogenic Techniques
(Humana Press Inc., 2020)Plant pathogens cause different diseases on crops and industrial plant species that result in economic losses. Pathogen-free plant material has usually been obtained by traditional procedures such as meristem culture, ... -
Photodynamic therapy assay
(Humana Press Inc., 2020)Photodynamic therapy is a promising, minimally invasive, and clinically approved treatment strategy that destroys the cell components by oxidizing the biological molecules such as nucleic acids, carbohydrates, proteins, ... -
Photoprotective activity assay toward ultraviolet B in human keratinocytes
(Humana Press Inc., 2020)Design and discovery of novel sunscreens are of great importance to protect the human skin toward ultraviolet-induced damages because of the incidence of skin cancers that is believed to have increased depending on the ... -
Time Series Modeling with Deep Neural Networks
(World Scientific Publishing Co., 2022)Deep neural networks are the latest among powerful artificial intelligence tools. As advanced forms of artificial neural networks, deep nets can be used in various fields and also time series forecasting. Time series ...