研究速報 : On the characteristics of eddies in DNS, GS, and SGS velocity fields in homogeneous isotropic turbulence

特集1 乱流シミュレーションと流れの設計(TSFD

Design and Implementation of Lab Scale Automated Solar Powered Irrigation and Fertigation System

In Brunei, natural oil and gas contributes to about 99% in the generation of electricity and about 88% to the country revenue. Since Brunei is heavily dependent on a non-renewable energy, potential exhaustion of oil and gas reserves pose a challenge to the country, especially with continuous increase of energy consumption in order to meet the population demand. Additionally, Brunei has ambition to improve its agriculture sector. Implementations of PV systems in local agricultural sectors can also help improving the country revenue by increasing yield and reducing costs from electricity consumption. In this paper, we present design and practical implementation of fully automated solar powered irrigation and fertigation system. Ultrasonic sensors and moisture sensors are used to detect the state of the tank and the soil. The whole system is controlled with a microcontroller and a wireless monitoring system with mobile application is designed. The operation of the system was tested and the performance was acceptable

Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives

In recent years, artificial intelligence has become increasingly popular and is more often used by scientists and entrepreneurs. The rapid development of electronics and computer science is conducive to developing this field of science. Man needs intelligent machines to create and discover new relationships in the world, so AI is beginning to reach various areas of science, such as medicine, economics, management, and the power industry. Artificial intelligence is one of the most exciting directions in the development of computer science, which absorbs a considerable amount of human enthusiasm and the latest achievements in computer technology. This article was dedicated to the practical use of artificial neural networks. The article discusses the development of neural networks in the years 1940–2022, presenting the most important publications from these years and discussing the latest achievements in the use of artificial intelligence. One of the chapters focuses on the use of artificial intelligence in energy processes and systems. The article also discusses the possible directions for the future development of neural networks

Puff or pass: do social media and social interactions influence smoking behaviour of university students? A cross-sectional mixed methods study from Dhaka, Bangladesh.

OBJECTIVE: To determine whether the odds of being a smoker differ based on social media use and social interactions among urban university students in Bangladesh. HYPOTHESIS: Social media use and social interactions influence the smoking behaviour of Bangladeshi university students, particularly in starting and maintaining cigarette smoking. DESIGN AND SETTING: A cross-sectional study using mixed methods on 600 student smokers and non-smokers recruited from two public and two private universities in Dhaka, Bangladesh, a lower middle-income country with limited resources. Exclusion criteria were those who did not use any form of social media and PhD students. RESULTS: Odds of smoking were significantly higher for those who socialised more than 4 hours/day (p<0.05; OR 1.75; 95% CI 1.12 to 2.75) and typically at night (p<0.05; OR 2.80; 95% CI 1.95 to 4.00). Odds of smoking were also higher for those who liked (p<0.05; OR 4.85; 95% CI 3.32 to 7.11), shared (p<0.05; OR 20.50; 95% CI 13.02 to 32.26) and followed (p<0.05; OR 2.88; 95% CI 1.36 to 6.11) tobacco-related content on social media. Qualitative analysis resulted in emergent themes of smokers imitating tobacco-related photos or videos seen on social media and peers as an influence for smoking initiation. CONCLUSION: This study suggests social media and social interactions may influence smoking behaviour in university students in Dhaka, Bangladesh. Future research should continue to investigate the roles social media and social interaction have on smoking in order to explore social media-based smoking cessation interventions or dissemination of smoking health hazards through social media

Densities and viscosities of the binary mixtures of phenylmethanol with 2-butanone

Densities and viscosities of the binary systems of phenylmethanol with 2-butanone were measured for the entire composition range at T = (303.15, 308.15, 313.15, 318.15, and 323.15) K and at the atmospheric pressure. The excess molar volumes were derived from the experimental data and were fitted with the Redlich-Kister equation to obtain their coefficients and standard deviations. The Grunberg-Nissan equation was used to correlate the viscosity data. Furthermore, kinematic viscosities were compared with those predicted by the UNIFAC-VISCO model. The cause of relatively large deviations between the experimental and predicted kinematic viscosities was explored by comparing the combinatorial and residual terms of the UNIFAC-VISCO model. © 2011 American Chemical Society

Volumetric and viscometric behavior of the binary system: (Hexan-1-ol + p -Xylene)

金沢大学理工研究域物質化学系Densities and viscosities for the binary mixtures of hexan-1-ol with p-xylene have been measured at a number of mole fractions at T = (303.15, 313.15, and 323.15) K. The excess molar volumes and viscosity deviations have been calculated from the experimental results and have been fitted to the Redlich-Kister polynomial equation. © 2010 American Chemical Society

Viscometric behavior of binary mixtures of butan-2-one with benzene at T = (303.15, 313.15, and 323.15) K

金沢大学理工研究域物質化学系Viscosities of binary liquid mixtures of butan-2-one with benzene were measured at a number of mole fractions at T = (303.15, 313.15, and 323.15) K and atmospheric pressure. The viscometric behavior is discussed on the basis of structural and geometrical effects between the components. In addition, kinematic viscosities were calculated using the UNIFAC-VISCO model. The predicted kinematic viscosities are in good agreement with the experimental ones. © 2011 American Chemical Society

Exploring predictors of blood pressures and risk factors associated with hypertension: A comprehensive study on Eastern University in Bangladesh

21-24 December, 2012, ISSN 978984335876

Erratum: Density and viscosity of the binary mixtures of hexan-1-ol with isomeric xylenes at T = (308.15 and 318.15) K and atmospheric pressure

金沢大学理工研究域物質化学系Densities and viscosities of binary liquid mixtures of hexan-1-ol + o-xylene, + m-xylene, or + p-xylene were measured at a number of mole fractions at T = (308.15 and 318.15) K and atmospheric pressure. The excess volumes and the viscosity deviations from the mole fraction average were calculated from the experimental density and viscosity data. The experimental data were correlated with Redlich-Kister equation. Variations in the calculated excess and deviation properties for the liquid mixtures were studied in terms of intermolecular interactions. © 2010 American Chemical Society