137,834 research outputs found
B-H. Han. Hiperculturalidad. Barcelona: Editorial Herder, 2018.
No full textB-H. Han. Hiperculturalidad. Barcelona: Editorial Herder, 2018. USB-H. Han. Hiperculturalidad. Barcelona: Editorial Herder, 2018. E
hyemin-han/BayesFactorFMRI: BayesFactorFMRI V1.0.0
No full textBayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing. This tool was developed to expedite computationally intensive Bayesian fMRI analysis through multiprocessing. Its GUI allows researchers who are not experts in computer programming to feasibly perform Bayesian fMRI analysis. BayesFactorFMRI is available via or GitHub for download. It would be widely reused by neuroimaging researchers who intend to analyse their fMRI data with Bayesian analysis with better sensitivity compared with classical analysis while saving time by distributing analysis tasks into multiple processes.
Please refer to and cite these articles when you use BayesFactorFMRI:
Journal of Open Research Software paper. Bayesian multiple comparison correction: Han, H. (in press). Implementation of Bayesian multiple comparison correction in the second-level analysis of fMRI data: With pilot analyses of simulation and real fMRI datasets based on voxelwise inference. Cognitive Neuroscience, 11(3), 157-169. http://bit.ly/2S6Uka2 Bayesian meta-analysis: Han, H., & Park, J. (2019). Bayesian meta-analysis of fMRI image data. Cognitive Neuroscience, 10(2), 66-76. http://bit.ly/2RCbxZ
hyemin-han/BayesFMRI: The first release of BayesFMRI
No full textBayesFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing. This tool was developed to expedite computationally intensive Bayesian fMRI analysis through multiprocessing. Its GUI allows researchers who are not experts in computer programming to feasibly perform Bayesian fMRI analysis. BayesFMRI is available via or GitHub for download. It would be widely reused by neuroimaging researchers who intend to analyse their fMRI data with Bayesian analysis with better sensitivity compared with classical analysis while saving time by distributing analysis tasks into multiple processes.
Please refer to and cite these articles when you use BayesFMRI:
Bayesian multiple comparison correction: Han, H. (in press). Implementation of Bayesian multiple comparison correction in the second-level analysis of fMRI data: With pilot analyses of simulation and real fMRI datasets based on voxelwise inference. Cognitive Neuroscience. http://bit.ly/2S6Uka2
Bayesian meta-analysis: Han, H., & Park, J. (2019). Bayesian meta-analysis of fMRI image data. Cognitive Neuroscience, 10(2), 66-76. http://bit.ly/2RCbxZY
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DIETARY CONDITIONS AND DIFFERENTIAL ACCESS TO FOOD RESOURCES AMONG THE VARIOUS CLASSES DURING THE HAN PERIOD
No full textIn this thesis, I study how food resources and dietary conditions were determined by social and economic status during the Han period in China, B.C. 206~A.D.220. Even though earlier scholars have published research concerning the Chinese food culture of this period, these studies were limited in that they only illustrated the dietary culture of the upper class or the available food resources in one geographic area. Also, without any persuasive data, it has been assumed by these earlier scholars that there were big differences in food resources and food consumption between the upper and lower classes. In this thesis, for comparison among the classes, I divide the social and economic classes into five stratified groups: nobles, officials, peasants, soldiers and convicts. After a brief introduction of the nature of each social class, I examine the food resources and nutritional condition of each group using information such as the wealth and income of each group, the market price of food resources, the agricultural products of peasants, and the amount of food distribution to soldiers and convicts. I found these data from archaeological remains, received historical records and pictorial data, and excavated texts. This research shows a broader view of Chinese dietary condition focusing not only on the variety of food resources of nobles, but also on the different food accessibilities among the officials, and the food deficiencies of peasants. It also deals with the situations of food supply for soldiers and convicts in an effort to reveal the true dietary consumption and nutritional conditions for all Chinese. This research proves that the various classes during the Han period in China had different food resources and dietary conditions
Receding Horizon H (infinity) Control for Input-Delayed Systems
No full textWe propose the receding horizon H (infinity) control (RHHC) for input-delayed systems. A new cost function for a finite horizon dynamic game problem is first introduced, which includes two terminal weighting terms parameterized by a positive definite matrix, called a terminal weighing matrix. Secondly, the RHHC is obtained from the solution to the finite dynamic game problem. Thirdly, we propose an LMI condition under which the saddle point value satisfies the nonincreasing monotonicity. Finally, we show the asymptotic stability and H (infinity) boundedness of the closed-loop system controlled by the proposed RHHC. The proposed RHHC has a guaranteed H (infinity) performance bound for nonzero external disturbances and the quadratic cost can be improved by adjusting the prediction horizon length for nonzero initial condition and zero disturbance, which is not the case for existing memoryless state-feedback controllers. It is shown through a numerical example that the proposed RHHC is stabilizing and satisfies the infinite horizon H (infinity) performance bound. Furthermore, the performance in terms of the quadratic cost is shown to be improved by adjusting the prediction horizon length when there exists no external disturbance with nonzero initial condition.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
Comparison of the toxicokinetics of daidzein and bisphenol A in pregnant and non-pregnant DA/Han rats
No full textPotentially adverse human and environmental effects due to hormone mimicry of environmental estrogens are a matter of current concern. Environmental estrogens belong to the socalled endocrine active compounds (EAC) and may alter signalling processes of the endocrine system leading to a broad range of effects during fetal and postnatal development, puberty, adulthood, and aging. A number of synthetic chemicals as well as several plant-derived compounds, socalled phytoestrogens, are known to have weak estrogenic activity. The present study is part of the risk assessment of the weak environmental estrogens daidzein and bisphenol A. The isoflavone daidzein is an important phytoestrogen with respect to dietary exposure (soy beans and soy products) whereas bisphenol A is an industrial chemical that occurs at much lower concentrations as a contaminant in food. The toxicokinetics of these compounds in female pregnant and non-pregnant DA/Han rats after single intravenous application were compared by the use of the Mann-Whitney- U-statistic. --Bisphenol A,daidzein,xenoestrogens,phytoestrogens,endocrine active compounds,Mann-Whitney-U-test
Surface chemistry of food, packaging and biopolymer materials
No full textThis chapter discusses the physicochemical principles of surface phenomena, and provides an overview of the research regarding surface properties of biopolymers used for the manufacturing of biodegradable films. Surface properties of food packaging polymers, such as wettability, scalability, printability, dye uptake, resistance to glazing, and adhesion to food surfaces or other polymers are of central importance to food packaging designers and engineers with respect to product shelf-life, appearance, and quality control. The most commonly used food packaging polymers are low-density polyethylene, high-density polyethylene, polypropylene, polytetrafluoroethylene, and nylon. In recent years, environmental concerns have increased the interest in preparing biodegradable packaging materials. Proteins and polysaccharides are the biopolymers of prime interest, since they can be used effectively to make edible and biodegradable films to replace short shelf-life plastics. Surface properties of biopolymers provide a supplementary understanding of film behavior, leading to an enhanced design of packaging materials for specific applications.Fil: Buffo, Roberto Americo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet Noa Sur. Instituto Superior de Investigaciones Biologicas. Grupo de Investigacion y Desarrollo del Noroeste Argentino | Universidad Nacional de Tucuman. Instituto Superior de Investigaciones Biologicas. Grupo de Investigacion y Desarrollo del Noroeste Argentino.; ArgentinaFil: Han, Jung H.. Pepsico; Estados UnidosFil: Zhang, Yachuan. Pepsico; Estados Unido
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