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All Topic Review Biography
Topic Review
IB and ND in Poultry
Infectious bronchitis (IB) and Newcastle disease (ND) are among the most important viral diseases of poultry with substantial global economic impact . Infectious bronchitis is caused by the IB virus (IBV), a member of the Gammacoronavirus genus, family Coronaviridae, and subfamily Orthocoronavirinae. IBV is commonly referred to as avian coronavirus and it belongs in the same family and subfamily as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is currently ravaging the world, although the latter is in a different genus—Betacoronavirus. Newcastle disease (ND) is caused by ND virus (NDV), which belongs to the genus Avulavirus in the family Paramyxoviridae. Both viruses have genomes made up of single stranded RNA (ssRNA). 
  • 2.6K
  • 21 Jan 2021
Topic Review
Evolution of Digital Twins
A digital twin can be described as a digital replica of a real-world entity. It simulates the physical state and maybe the biological state and behavior of the real-world entity based on input data. It helps in predicting, optimizing, and improving decision making. It has revolutionized the industrial world, particularly the manufacturing industry, construction and healthcare sector, smart cities, and energy industry. 
  • 2.6K
  • 13 May 2021
Topic Review
Travis (Chimpanzee)
Travis (October 21, 1995 – February 16, 2009) was a male common chimpanzee (Pan troglodytes) who, in February 2009, mauled his owner's friend in Stamford, Connecticut. He blinded her, severed several body parts and lacerated her face. He was shot dead by a police officer. As an animal actor, Travis had appeared in several television shows and commercials, including spots for Pepsi and Old Navy. He had also appeared on The Maury Povich Show, The Man Show, and a television pilot that featured Sheryl Crow and Michael Moore.
  • 2.6K
  • 07 Nov 2022
Topic Review
3p Deletion Syndrome
3p deletion syndrome is a condition that results from a chromosomal change in which a small piece of chromosome 3 is deleted in each cell. The deletion occurs at the end of the short (p) arm of the chromosome. This chromosomal change often leads to intellectual disability, developmental delay, and abnormal physical features.
  • 2.6K
  • 23 Dec 2020
Topic Review
Machine Learning for Plant Breeding/Biotechnology
Classical univariate and multivariate statistics are the most common methods used for data analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity, classification of plant genotypes, analysis of yield components, yield stability analysis, assessment of biotic and abiotic stresses, prediction of parental combinations in hybrid breeding programs, and analysis of in vitro-based biotechnological experiments are mainly performed by classical statistical methods. Despite successful applications, these classical statistical methods have low efficiency in analyzing data obtained from plant studies, as the genotype, environment, and their interaction (G × E) result in nondeterministic and nonlinear nature of plant characteristics. Large-scale data flow, including phenomics, metabolomics, genomics, and big data, must be analyzed for efficient interpretation of results affected by G × E. Nonlinear nonparametric machine learning techniques are more efficient than classical statistical models in handling large amounts of complex and nondeterministic information with "multiple-independent variables versus multiple-dependent variables" nature. Neural networks, partial least square regression, random forest, and support vector machines are some of the most fascinating machine learning models that have been widely applied to analyze nonlinear and complex data in both classical plant breeding and in vitro-based biotechnological studies. High interpretive power of machine learning algorithms has made them popular in the analysis of plant complex multifactorial characteristics. The classification of different plant genotypes with morphological and molecular markers, modeling and predicting important quantitative characteristics of plants, the interpretation of complex and nonlinear relationships of plant characteristics, and predicting and optimizing of in vitro breeding methods are the examples of applications of machine learning in conventional plant breeding and in vitro-based biotechnological studies. Precision agriculture is possible through accurate measurement of plant characteristics using imaging techniques and then efficient analysis of reliable extracted data using machine learning algorithms. Perfect interpretation of high-throughput phenotyping data is applicable through coupled machine learning-image processing. This entry shows how nonlinear machine learning algorithms can be used in different branches of classical plant breeding and in vitro-based methods. An idea is provided at the end of the entry that shows how coupled image processing-machine learning (especially deep CNN) could be used to identify the ploidy level of plants. It could be used in laboratories without flowcytometry equipment and/or in plant species without an established chromosome counting protocol.
  • 2.6K
  • 16 Feb 2021
Topic Review
Camel Milk Processing
The camel milk market was limited for a long time by its almost exclusive self-consumption use in nomadic camps. Significant development has been observed for the past two or three decades, including internationally, boosted by its reputation regarding its health effects for regular consumers.  The main change lies in the diversification of the camel dairy products offered to the consumers.
  • 2.6K
  • 06 May 2021
Topic Review
Nitrogen Compounds in the Soil
Soil is an important environment in which nitrogen is transformed. The nitrogen cycle in the soil depends on microorganisms, without them, nitrogen transformation processes cannot occur. They determine the continuity of the circulation of this element in the environment and ensure the renewal of its resources. The presence of microorganisms involved in nitrogen transformation in the soil, their activity and the intensity of the reactions taking place are influenced by many factors, including the type of soil, moisture, oxygenation, pH, vegetation and fertilization. 
  • 2.6K
  • 31 May 2021
Topic Review
Anthocyanidins and Anthocyanins
Anthocyanidins are colored molecules having medium-size and belonging to the class of flavonoids.
  • 2.6K
  • 24 May 2021
Topic Review
Platycodon grandiflorus
Platycodon grandiflorus is a widely used edible, traditional Chinese medicinal herb. It is rich in saponins, flavonoids, phenolic acids, and other compounds. It contains a large number of fatty acids such as linoleic acid (up to 63.24%), a variety of amino acids, vitamins, and multiple essential trace elements.  In this entry, the active chemical components and the health benefits of P. grandiflorus have been reviewed, providing new ideas for the further development of nutraceutical products to prevent and manage chronic diseases.
  • 2.6K
  • 27 Oct 2020
Topic Review
Mitochondrial Metabolism of Fatty Acids
Mitochondria are the powerhouse of the cells, generating up to 90% of the energy within a cell in the form of adenosine triphosphate (ATP). There is a close connection between fatty acid metabolism and mitochondria, involving a considerable number of cellular processes that go well beyond mitochondrial fatty acid metabolism. Fatty acids are essential for ATP and energy production, and are therefore highly relevant in the regulation of energy homeostasis. The processes of β-oxidation, linked to ATP production, and mitochondrial fatty acid biosynthesis (mtFAS) are both localized in the mitochondria. This last pathway, in particular, produces molecules that are used as cellular structural components for post-translational modifications of proteins and in signaling cascades.
  • 2.6K
  • 22 Sep 2021
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