Dynamic alterations of hepatocellular function by on-demand elasticity and roughness modulation

2018 ◽  
Vol 6 (5) ◽  
pp. 1002-1006 ◽  
Author(s):  
K. Uto ◽  
T. Aoyagi ◽  
C. A. DeForest ◽  
M. Ebara

Temporal elasticity and roughness modulation with temperature-responsive poly(ε-caprolactone) induced the alternation of hepatocellular function dynamically.

2021 ◽  
Vol 13 (2) ◽  
pp. 97-105
Author(s):  
Doppy Roy Nendissa ◽  
Ratya Anindita ◽  
Nikmatul Khoiriyah ◽  
Ana Arifatus Sa’diyah

Households consume animal protein after carbohydrate food is fulfilled, moreover animal protein prices are increasing. This study aims to analyze the effect of rising beef prices on demand. The demand system approach uses the Quadratic Almost Ideal Demand System (QUAIDS) model. Estimation of parameters using Iterated non-linear Seemingly Unrelated Regression. The research data use the 2016 National Socio-Economic Survey (Susenas, 2016), amounting to 10,751 households. The results of the study concluded that beef is the third most elastic animal food after fresh fish and chicken meat. Fresh fish in the most elastic among all animal foods with a demand elasticity of 3.31%, followed by chicken, beef, milk powder, and eggs with demand elasticities of 1.55%, 1.62%, 1.29%, and 0.80%, respectively. Beef is a luxury item with an income elasticity of 1.59%, as well as fresh fish, chicken meat, and milk powder. While eggs are normal goods. Although fresh fish is more elastic than beef, beef marginal expenditure share (MES) is higher than fresh fish MES, so that in the long run, the increase in household income tends to increase beef consumption more than fresh fish.


2018 ◽  
Vol 4 (2) ◽  
pp. 129
Author(s):  
Khairunnisa Rangkuti

The purpose of this study was to determine the effect of prices, consumer tastes, income and location / place to Requests Orchid Plant in the city of Medan, and to know the Demand Elasticity of orchids in the city of Medan. The data collected from the data Primary and Secondary Data. Based on the results of testing statistical analysis obtained by value Multiple R of 86.6%. The value of F table at the level of 0.05 is thus calculated F 2,76 = 18.801> F table = 2.76 at 95% confidence level. Furthermore, in testing T test, to see the effect of demand factors partially on the request of orchids, the value of the T-table 2.045 with a confidence level of 86.6%. X2, X3 and X4 real impact While real variables X1 No Effect on Demand (Y). Analysing the value of Elasticity, Elastic Retrieved much as 3.395> 1. Demand level of sensitivity to the independent variable (tastes, income, and location) of 3.395.


Small ◽  
2020 ◽  
Vol 16 (49) ◽  
pp. 2070267
Author(s):  
Yoon‐Ho Hwang ◽  
Kyounghee Jeon ◽  
Sang A Ryu ◽  
Dong‐Pyo Kim ◽  
Hyomin Lee

2011 ◽  
Vol 71 (4) ◽  
pp. 525-535 ◽  
Author(s):  
Yi Chen ◽  
Rui Wang ◽  
Jian Zhou ◽  
Haojun Fan ◽  
Bi Shi

Author(s):  
Mayank Pundir ◽  
Manoj Kumar ◽  
Luke M. Leslie ◽  
Indranil Gupta ◽  
Roy H. Campbell

2014 ◽  
Vol 1 (1) ◽  
pp. 77
Author(s):  
Luthfiya Fathi Pusposari

<p>Indonesian population growth from year to year has increased, the population of Indonesia has incense for about 20 million people from the previous census data. Soybean is one of commodity most consumed by society census. Demand of soybean in this country 2,4 million tons per year, as much as 70% comes from imported soybean. Based on demand theory there are many factors that influence demand of goods, among others, the price of the goods themselves, the price of other goods, population, etc. Purpose of this research is to understand the elasticity of  soybean’s demand in East Java and what variable which have the highest elasticity. The result of this research shows that variable of soybean's price is in elastic towards demand of soybean while variable of corn's price, income per capita and population is elastic. Variable which has sensitivity or the highest elasticity is variable of population</p><p>Keyword: Demand, Elasticity, Soybean</p>


2020 ◽  
pp. 1-5
Author(s):  
Nordiana Marjan Rusli ◽  
Assis Kamu

There have been some changes in Malaysians’ food preference as Malaysia is one of the most developing countries in Asia. These changes in consumption pattern have some impact on the agriculturally based food industry. One of the changes is in the preference for fresh meat such as poultry, beef, mutton, and other meat. This study is focusing on demand elasticity of fresh meat by households in Malaysia. This study has obtained demand elasticity of fresh meat via Linear Approximate Almost Ideal Demand System (LA-AIDS). Data from the Household Expenditure Survey (HES) 2014 has been used to build a statistical model in estimating the demand elasticity. Keywords: demand elasticity; Linear Approximate Almost Ideal Demand (LA-AIDS); Household Expenditure Survey (HES) 2014


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