scholarly journals Opto-thermal oscillation and trapping of light absorbing particles

2019 ◽  
Vol 27 (21) ◽  
pp. 29730 ◽  
Author(s):  
Min-Cheng Zhong ◽  
Ai-Yin Liu ◽  
Feng Ji
Keyword(s):  
2017 ◽  
Vol 39 (4) ◽  
pp. 385
Author(s):  
Jovanir Inês Müller Fernandes ◽  
Daianna Rosse Martins Gonçalves ◽  
Eliana Thais Riffel ◽  
Elisângela Vanroo ◽  
Fernanda Kaiser de Lima ◽  
...  

The aim of the study was to evaluate the efficacy of a nutritional formulation based on amino acids and vitamins supplemented in the drinking water for chicks in the first week of life subjected to thermal oscillation on performance, organ development and intestinal morphometry from 1 to 21 days. 640-male broiler chicks were distributed in a 2x2 factorial completely randomized design (with or without dietary supplementation and at comfort temperature or thermal oscillation). Chicks subjected to thermal oscillation presented worse performance (p < 0.05) than those under thermal comfort of 1 to 7, 1 to 14 and 1 to 21 days. Nutritional supplementation did not alter the performance (p < 0.05) of the birds, but resulted in a higher body weight (p < 0.05) regardless of the environmental thermal condition. At 7 days, chicks under thermal comfort had better intestinal morphometric parameters (p < 0.05), in relation to birds under thermal oscillation. In conclusion, the temperature oscillations caused negative consequences to the productive performance and the intestinal morphology of chicks for which dietary supplementation was not enough to mitigate the effects of the environmental challenge during the first week of life of the birds. 


1998 ◽  
Vol 124 (547) ◽  
pp. 793-809 ◽  
Author(s):  
Wenju Cai ◽  
Peter C. Chu
Keyword(s):  

2020 ◽  
Vol 7 (11) ◽  
pp. 200774
Author(s):  
Dalibor Chevizovich ◽  
Davide Michieletto ◽  
Alain Mvogo ◽  
Farit Zakiryanov ◽  
Slobodan Zdravković

The study and the investigation of structural and dynamical properties of complex systems have attracted considerable interest among scientists in general and physicists and biologists in particular. The present review paper represents a broad overview of the research performed over the nonlinear dynamics of DNA, devoted to some different aspects of DNA physics and including analytical, quantum and computational tools to understand nonlinear DNA physics. We review in detail the semi-discrete approximation within helicoidal Peyrard–Bishop model and show that localized modulated solitary waves, usually called breathers, can emerge and move along the DNA. Since living processes occur at submolecular level, we then discuss a quantum treatment to address the problem of how charge and energy are transported on DNA and how they may play an important role for the functioning of living cells. While this problem has attracted the attention of researchers for a long time, it is still poorly understood how charge and energy transport can occur at distances comparable to the size of macromolecules. Here, we review a theory based on the mechanism of ‘self-trapping’ of electrons due to their interaction with mechanical (thermal) oscillation of the DNA structure. We also describe recent computational models that have been developed to capture nonlinear mechanics of DNA in vitro and in vivo , possibly under topological constraints. Finally, we provide some conjectures on potential future directions for this field.


Ciencia Unemi ◽  
2019 ◽  
Vol 12 (29) ◽  
pp. 36-50
Author(s):  
Italo Mendoza-Haro ◽  
Hiram Marquetti-Nodarse

La investigación muestra lo importante de las redes neuronales artificiales dentro de la industria azucarera, como una herramienta útil para la predicción del cultivo de la caña de azúcar, tomando como entradas la información climatológica: temperaturas máximas y mínimas, oscilación térmica, precipitaciones, heliofanía, humedad relativa, evaporación y hectáreas de los cultivos sembrados, para obtener una salida: toneladas de caña. Se desarrolló una herramienta de trabajo predictiva con resultados confiables, comparados con métodos tradicionales utilizados, como los aforos de expertos para la cosecha de la caña de azúcar. Se analizó la base de datos histórica de la organización, mediante un software MATLAB, herramienta matemática, que ofrece un entorno de desarrollo integrado (IDE) con lenguaje M de programación propio. La investigación se desarrolló en Compañía Azucarera Valdez S.A. Ubicada en la Ciudad de Milagro-Provincia del Guayas-Ecuador.AbstractThe research shows the importance of artificial neural networks within the sugar industry, as a useful tool for the prediction of the cultivation of sugarcane, taking as input the climatological information: maximum and minimum temperatures, thermal oscillation, rainfall, heliophany, relative humidity, evaporation and hectares of crops planted, to obtain tons of cane as an output. A predictive work tool with reliable results was developed, compared with traditional methods used, such as expert assessment for sugarcane harvesting. The historical database of the organization was analyzed through MATLAB software, a mathematical tool which offers an integrated development environment (IDE) with its own M programming language. The research was developed at Compañía Azucarera Valdez S.A. located in the City of Milagro-Province of Guayas-Ecuador.


2019 ◽  
Vol 282 ◽  
pp. 02052
Author(s):  
Václav Kočí ◽  
Jiří Maděra ◽  
Robert Černý

A precise technique for determination of effective specific heat capacity of building materials is presented within this paper. The applicability of the technique is demonstrated on a PCM-enhanced plaster, being characterized by a phase change between 15 and 30 °C. The effective specific heat capacity is determined by means of inverse analysis of calorimetric data using computational model of the device. The identified effective specific heat capacity values reached up to 1890 J·kg-1·K-1 when cooled and 1580 J·kg-1·K-1 when heated. Using this quantity in simulation of thermal performance, the PCM-enhanced plaster showed to have a promising potential to be used in buildings’ interiors as a thermal regulator to stabilize inner environment as it contributed to a thermal oscillation decrease by up to 2.5 °C


Author(s):  
BoHung Kim ◽  
Ali Beskok ◽  
Tahir Cagin

Molecular Dynamics (MD) simulations of nano-scale flows typically utilize fixed lattice crystal interactions between the fluid and stationary wall molecules. This approach cannot properly model thermal exchange at the wall-fluid interface. Therefore, we use an interactive thermal wall model that can properly simulate the flow and heat transfer in nano-scale channels. Using the interactive thermal wall, Fourier law of heat conduction is verified for the 3.24 nm channel, while the thermal conductivity obtained from Fourier law is verified using the predictions of Green-Kubo theory. Moreover, temperature jumps at the liquid/solid interface, corresponding to the well known Kapitza resistance, are observed. Using systematic studies thermal resistance length at the interface is characterized as a function of the surface wettability, thermal oscillation frequency, wall temperature and thermal gradient. An empirical model for the thermal resistance length, which could be used as the jump-coefficient of a Navier boundary condition, is developed.


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