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Topic Review
Wake
In fluid dynamics, a wake may either be: 1. the region of recirculating flow immediately behind a moving or stationary blunt body, caused by viscosity, which may be accompanied by flow separation and turbulence, or 2. the wave pattern on the water surface downstream of an object in a flow, or produced by a moving object (e.g. a ship), caused by density differences of the fluids above and below the free surface and gravity (or surface tension).
  • 2.7K
  • 08 Nov 2022
Topic Review
Information Deficit Model
In studies of the public understanding of science, the information deficit model (or simply deficit model) or science literacy/knowledge deficit model attributes public scepticism or hostility to science and technology to a lack of understanding, resulting from a lack of information. It is associated with a division between experts who have the information and non-experts who do not. The model implies that communication should focus on improving the transfer of information from experts to non-experts.
  • 2.7K
  • 17 Nov 2022
Topic Review
Congregation for the Doctrine of the Faith
The Congregation for the Doctrine of the Faith (Latin: Congregatio pro Doctrina Fidei; CDF) is the oldest among the nine congregations of the Roman Curia. It was founded to defend the church from heresy; today, it is the body responsible for promulgating and defending Catholic doctrine. Formerly known as the Supreme Sacred Congregation of the Roman and Universal Inquisition, it is informally known in many Catholic countries as the Holy Office, and between 1908 and 1965 was officially known as the Supreme Sacred Congregation of the Holy Office. Founded by Pope Paul III in 1542, the congregation's sole objective is to "spread sound Catholic doctrine and defend those points of Christian tradition which seem in danger because of new and unacceptable doctrines." Its headquarters are at the Palace of the Holy Office, just outside Vatican City. The congregation employs an advisory board including cardinals, bishops, priests, lay theologians, and canon lawyers. The current Prefect is Archbishop Luis Ladaria Ferrer, who was appointed by Pope Francis for a five-year term beginning July 2017.
  • 2.7K
  • 29 Sep 2022
Topic Review
Abiotic and Biotic Polymer Degradation Mechanisms
Polymer degradation is defined as an irreversible change of the chemical structure, physical properties, and visual appearance due to the chemical cleavage of the polymer’s constitutive macromolecules by one or more mechanism. More than one mechanism can simultaneously take place due to the action of external factors, and one mechanism can be more dominant than others at any time. External factors associated with the environment, such as heat, humidity, radiation, and acidic or alkaline conditions, could modify the degradation process and its rate. The degradation process can alter polymer properties such as mechanical, optical, electrical, discoloration, phase separation or delamination, erosion, cracking, and crazing. The four main abiotic mechanisms associated with polymer degradation are mechanical, thermal (or thermo-oxidative), photo (photo-oxidative), and hydrolytic (chemical) degradation, some of which can be assisted by catalysis. In addition, ozone degradation (chemical) is considered a mechanism of degradation for polymers but is less common. The biotic degradation involves the action of microorganisms by enzymatic action.
  • 2.7K
  • 27 Oct 2022
Topic Review
CASC Rainbow
CASC Rainbow (Cai Hong, abbreviated as CH) is a series of unmanned aerial vehicles (UAVs) developed by the China Academy of Aerospace Aerodynamics, an entity under the China Aerospace Science and Technology Corporation (CASC). The China Academy of Aerospace Aerodynamics is also known as the 11th Academy of CASC, or 701st Research Institute.
  • 2.7K
  • 17 Oct 2022
Topic Review
Biological Functions of Nitric Oxide
Nitric oxide (nitrogen monoxide) is a molecule and chemical compound with chemical formula of NO. In mammals including humans, nitric oxide is a signaling molecule involved in several physiological and pathological processes. It is a powerful vasodilator with a half-life of a few seconds in the blood. Standard pharmaceuticals such as nitroglycerine and amyl nitrite are precursors to nitric oxide. Low levels of nitric oxide production are typically due to ischemic damage in the liver. As a consequence of its importance in neuroscience, physiology, and immunology, nitric oxide was proclaimed "Molecule of the Year" in 1992. Research into its function led to the 1998 Nobel Prize for elucidating the role of nitric oxide as a cardiovascular signalling molecule.
  • 2.7K
  • 04 Nov 2022
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.
  • 2.7K
  • 16 Feb 2021
Topic Review
Ethical Dilemmas in Emerging Technologies
Emerging technologies have featured prominently in the research on technology ethics, which is progressively concentrating on early-stage intervention in technological innovation. Techno Ethics (TE) serves as a multidisciplinary research field that incorporates theories and techniques from various domains including communications systems, sociology, innovation, ethical theories, and principles. Cybercrime is an umbrella term for all illicit activities made possible by access to an IT infrastructure including unauthorized access, unlawful data comparison interception, system disruption, digital identity fraud, etc. The goal of cybersecurity (counterpart to cybercrime) is to assist people in mitigating risks in their systems, networks, and data, ensuring security and privacy. To secure cyberspace, formal and informal resources, including equipment, people, infrastructure, services, policies, training, and technologies are used. As more firms post details to demonstrate their public commitment to ethical ideals while promoting security, discussions regarding ethical standards for emerging technologies are becoming more common. 
  • 2.7K
  • 13 Feb 2023
Topic Review
Decentralized Smart IoT
Decentralized smart Internet of Things (IoT) refers to future IoT powered by blockchain-enabled edge intelligence. This new form of IoT is motivated by the recent advancement of distributed ledger technology (DLT), multi-access edge computing (MEC) and artificial intelligence (AI). The idea is to empower all kinds of IoT devices to observe, identify, and understand the world not by the help of humans but by cooperation and consensus among edge devices, in a secure and verifiable manner. Decentralized smart IoT will provide trust and intelligence to satisfy the sophisticated needs of industries and society.
  • 2.7K
  • 26 Apr 2021
Topic Review
Sustainable Employability
Sustainable employability (SE) generally refers to employees’ capacities to function in work and on the labor market throughout their working lives. However, several definitions have been forwarded in the scientific literature that differ in nuanced ways. A recent overview of existing definitions is provided by Fleuren, de Grip, Jansen, Kant, and Zijlstra (2020).[1]
  • 2.7K
  • 29 Oct 2020
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