Simulating Thermal Food Processes Using Deterministic Models

Physically-based, deterministic models, are considered in this paper. Physically-based, in that the models have a theoretical structure based primarily on the laws of conservation of mass, energy, or momentum; deterministic in the sense that when initial and boundary conditions and inputs are specified, the output is known with certainty. This type of model attempts to describe the structure of a particular hydrologic process and is therefore helpful in predicting what will happen when some change occurs in the system.

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Algorithmic and Stochastic Representations of Gene Regulatory Networks and Protein-Protein Interactions

Current Topics in Medicinal Chemistry ◽

10.2174/1568026619666190311125256 ◽

2019 ◽

Vol 19 (6) ◽

pp. 413-425 ◽

Cited By ~ 3

Author(s):

Athanasios Alexiou ◽

Stylianos Chatzichronis ◽

Asma Perveen ◽

Abdul Hafeez ◽

Ghulam Md. Ashraf

Keyword(s):

Protein Interactions ◽

Biological Networks ◽

Regulatory Networks ◽

Review Paper ◽

Boolean Networks ◽

Diagnostic Tools ◽

Complex Nature ◽

Cellular Interactions ◽

Protein Protein Interactions ◽

Deterministic Models

Background:Latest studies reveal the importance of Protein-Protein interactions on physiologic functions and biological structures. Several stochastic and algorithmic methods have been published until now, for the modeling of the complex nature of the biological systems.Objective:Biological Networks computational modeling is still a challenging task. The formulation of the complex cellular interactions is a research field of great interest. In this review paper, several computational methods for the modeling of GRN and PPI are presented analytically.Methods:Several well-known GRN and PPI models are presented and discussed in this review study such as: Graphs representation, Boolean Networks, Generalized Logical Networks, Bayesian Networks, Relevance Networks, Graphical Gaussian models, Weight Matrices, Reverse Engineering Approach, Evolutionary Algorithms, Forward Modeling Approach, Deterministic models, Static models, Hybrid models, Stochastic models, Petri Nets, BioAmbients calculus and Differential Equations.Results:GRN and PPI methods have been already applied in various clinical processes with potential positive results, establishing promising diagnostic tools.Conclusion:In literature many stochastic algorithms are focused in the simulation, analysis and visualization of the various biological networks and their dynamics interactions, which are referred and described in depth in this review paper.

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Anthocyanins: Chemical Properties and Health Benefits: A Review

Current Nutrition & Food Science ◽

10.2174/1573401317999210101150652 ◽

2021 ◽

Vol 17 ◽

Author(s):

Siraj Salman Mohammad ◽

Renata Oliveira Santos ◽

Maria Ivone Barbosa ◽

José Lucena Barbosa Junior

Keyword(s):

Raw Materials ◽

Health Benefits ◽

Chemical Properties ◽

Extraction Methods ◽

The Body ◽

Raw Material ◽

Extraction Properties ◽

Therapeutic Properties ◽

Food Processes ◽

Shed Light

: Anthocyanins are widely spread in different kinds of food, especially fruits and floral tissues, there is an extensive range of anthocyanin compounds reach more than 600 exist in nature. Anthocyanins can be used as antioxidants and raw material for several applications in food and pharmaceutical industry. Consequently, a plenty of studies about anthocyanins sources and extraction methods were reported. Furthermore, many studies about their stability, bioactive and therapeutic properties have been done. According to the body of work, we firstly worked to shed light on anthocyanin properties including chemical, antioxidant and extraction properties. Secondly, we reported the applications and health benefits of anthocyanin including the applications in food processes and anthocyanin characteristics as therapeutic and prophylactic compounds. We reviewed anticancer, anti-diabetic, anti-fatness, oxidative Stress and lipid decreasing and vasoprotective effects of anthocyanins. In conclusion, because the importance of phytochemicals and bioactive compounds the research is still continuing to find new anthocyanins from natural sources and invest them as raw materials in the pharmaceutical and nutrition applications.

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Ancient Philosophy, Quantum Reality and Management

Purushartha - A Journal of Management Ethics and Spirituality ◽

10.21844/pajmes.v10i1.7794 ◽

2017 ◽

Vol 10 (1) ◽

Author(s):

Anindo Bhattacharjee

Keyword(s):

Uncertainty Principle ◽

Quantum Physics ◽

Ancient Philosophy ◽

Physical World ◽

Scientific Management ◽

Werner Heisenberg ◽

Deterministic Models ◽

Late 19Th Century ◽

Quantum Reality ◽

New View

The romanticism of management for numbers, metrics and deterministic models driven by mathematics, is not new. It still exists. This is exactly the problem which classical physicists had in the late 19th century until Werner Heisenberg brought the uncertainty principle and opened the doors of quantum physics that challenged the deterministic view of the physical world mostly driven by the Newtonian view. In this paper, we propose an uncertainty principle of management and then list a set of factors which capture this uncertainty quite well and arrive at a new view of scientific management thought. The new view which we call as the Quantum view of Management (QVM) will be based on the major tenets from the ancient philosophical traditions viz., Jainism, Taoism, Advaita Vedanta, Buddhism, Greek philosophers (like Hereclitus) etc.

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Temperature and its measurement

10.1093/oso/9780199551668.003.0003 ◽

2017 ◽

Author(s):

Andrew Clarke

Keyword(s):

Thermal Equilibrium ◽

Isotope Fractionation ◽

Thermodynamic Temperature ◽

The Other ◽

Deterministic Models ◽

Triple Point Of Water ◽

Temperature Scales ◽

Classical Thermodynamics ◽

The Relationship ◽

Unit Of Temperature

Temperature is that property of a body which determines whether it gains or loses energy in a particular environment. In classical thermodynamics temperature is defined by the relationship between energy and entropy. Temperature can be defined only for a body that is in thermodynamic and thermal equilibrium; whilst organisms do not conform to these criteria, the errors in assuming that they do are generally small. The Celsius and Fahrenheit temperature scales are arbitrary because they require two fixed points, one to define the zero and the other to set the scale. The thermodynamic (absolute) scale of temperature has a natural zero (absolute zero) and is defined by the triple point of water. Its unit of temperature is the Kelvin. The Celsius scale is convenient for much ecological and physiological work, but where temperature is included in statistical or deterministic models, only thermodynamic temperature should be used. Past temperatures can only be reconstructed with the use of proxies, the most important of which are based on isotope fractionation.

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Encapsulated NOLA™ Fit 5500 Lactase—An Economically Beneficial Way to Obtain Lactose-Free Milk at Low Temperature

Catalysts ◽

10.3390/catal11050527 ◽

2021 ◽

Vol 11 (5) ◽

pp. 527

Author(s):

Katarzyna Czyzewska ◽

Anna Trusek

Keyword(s):

Low Temperature ◽

Storage Temperature ◽

Competitive Inhibition ◽

Caloric Content ◽

Substrate Diffusion ◽

Galactose Inhibition ◽

The Subject ◽

And Storage ◽

Food Processes ◽

Hydrolysis Of

The current requirements of industrial biocatalysis are related to economically beneficial and environmentally friendly processes. Such a strategy engages low-temperature reactions. The presented approach is essential, especially in food processes, where temperature affects the quality and nutritional value foodstuffs. The subject of the study is the hydrolysis of lactose with the commercial lactase NOLA™ Fit 5500 (NOLA). The complete decomposition of lactose into two monosaccharides gives a sweeter product, recommended for lactose intolerant people and those controlling a product’s caloric content. The hydrolysis reaction was performed at 15 °C, which is related to milk transportation and storage temperature. The enzyme showed activity over the entire range of substrate concentrations (up to 55 g/L lactose). For reusability and easy isolation, the enzyme was encapsulated in a sodium alginate network. Its stability allows carrying out six cycles of the complete hydrolysis of lactose to monosaccharides, lasting from two to four hours. During the study, the kinetic description of native and encapsulated NOLA was conducted. As a result, the model of competitive galactose inhibition and glucose mixed influence (competitive inhibition and activation) was proposed. The capsule size does not influence the reaction rate; thus, the substrate diffusion into capsules can be omitted from the process description. The prepared 4 mm capsules are easy to separate between cycles, e.g., using sieves.

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Operational Forecasting of Tropical Cyclone Rapid Intensification at the National Hurricane Center

Atmosphere ◽

10.3390/atmos12060683 ◽

2021 ◽

Vol 12 (6) ◽

pp. 683

Author(s):

Mark DeMaria ◽

James L. Franklin ◽

Matthew J. Onderlinde ◽

John Kaplan

Keyword(s):

Tropical Cyclone ◽

Absolute Error ◽

Baseline Period ◽

Probability Of Detection ◽

Rapid Intensification ◽

Improvement Program ◽

Deterministic Models ◽

Operational Forecasting ◽

National Hurricane Center ◽

Made In

Although some recent progress has been made in operational tropical cyclone (TC) intensity forecasting, the prediction of rapid intensification (RI) remains a challenging problem. To document RI forecast progress, deterministic and probabilistic operational intensity models used by the National Hurricane Center (NHC) are briefly reviewed. Results show that none of the deterministic models had RI utility from 1991 to about 2015 due to very low probability of detection, very high false alarm ratio, or both. Some ability to forecast RI has emerged since 2015, with dynamical models being the best guidance for the Atlantic and statistical models the best RI guidance for the eastern North Pacific. The first probabilistic RI guidance became available in 2001, with several upgrades since then leading to modest skill in recent years. A tool introduced in 2018 (DTOPS) is currently the most skillful among NHC’s probabilistic RI guidance. To measure programmatic progress in forecasting RI, the Hurricane Forecast Improvement Program has introduced a new RI metric that uses the traditional mean absolute error but restricts the sample to only those cases where RI occurred in the verifying best track or was forecast. By this metric, RI forecasts have improved by ~20–25% since the 2015–2017 baseline period.

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