Supporting On-demand Elasticity in Distributed Graph Processing

2016 ◽  
Author(s):  
Mayank Pundir ◽  
Manoj Kumar ◽  
Luke M. Leslie ◽  
Indranil Gupta ◽  
Roy H. Campbell
Keyword(s):  
Demand Elasticity ◽  
Graph Processing ◽  
On Demand

scholarly journals Consumption and Beef Price Changes on Demand in East Nusa Tenggara, Indonesia

2021 ◽  
Vol 13 (2) ◽  
pp. 97-105
Author(s):  
Doppy Roy Nendissa ◽  
Ratya Anindita ◽  
Nikmatul Khoiriyah ◽  
Ana Arifatus Sa’diyah
Keyword(s):  
Income Elasticity ◽  
Milk Powder ◽  
Chicken Meat ◽  
Animal Protein ◽  
Seemingly Unrelated Regression ◽  
Demand Elasticity ◽  
Demand System ◽  
Estimation Of Parameters ◽  
Fresh Fish ◽  
On Demand

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.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI PERMINTAAN TANAMAN ANGGREK (Orchidaceae) DI KOTA MEDAN

2018 ◽  
Vol 4 (2) ◽  
pp. 129
Author(s):  
Khairunnisa Rangkuti
Keyword(s):  
Statistical Analysis ◽  
Confidence Level ◽  
Secondary Data ◽  
T Test ◽  
Demand Elasticity ◽  
On Demand ◽  
Independent Variable ◽  
Consumer Tastes ◽  
The City

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.

scholarly journals ANALISIS PERMINTAAN KEDELAI DI INDONESIA

2014 ◽  
Vol 1 (1) ◽  
pp. 77
Author(s):  
Luthfiya Fathi Pusposari
Keyword(s):  
Population Growth ◽  
Census Data ◽  
Demand Elasticity ◽  
Income Per Capita ◽  
On Demand ◽  
Indonesian Population ◽  
Demand Theory ◽  
Per Capita

<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>

scholarly journals Modelling the Demand of Fresh Meat by Households in Malaysia

2020 ◽  
pp. 1-5
Author(s):  
Nordiana Marjan Rusli ◽  
Assis Kamu
Keyword(s):  
Food Industry ◽  
Food Preference ◽  
Demand Elasticity ◽  
Demand System ◽  
Consumption Pattern ◽  
Household Expenditure ◽  
Fresh Meat ◽  
On Demand ◽  
Expenditure Survey ◽  
Household Expenditure Survey

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

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
Keyword(s):  
Demand Elasticity ◽  
Temperature Responsive ◽  
On Demand

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

scholarly journals The Role of Orexin-1 Receptor Signaling in Demand for the Opioid Fentanyl

2019 ◽  
Author(s):  
Jennifer E. Fragale ◽  
Caroline B. Pantazis ◽  
Morgan H. James ◽  
Gary Aston-Jones
Keyword(s):  
Behavioral Economics ◽  
Drug Addiction ◽  
Abuse Liability ◽  
Demand Elasticity ◽  
Potential Treatment ◽  
Treatment Target ◽  
On Demand ◽  
Abused Drugs ◽  
Increasing Demand

AbstractThe orexin system is a potential treatment target for drug addiction. Orexin-1 receptor (OxR1) antagonism reduces demand for cocaine and remifentanil indicating that orexin-based therapies may reduce demand for many classes of abused drugs. However, pharmacokinetics vary greatly among opioids and it is unclear if OxR1 antagonism would reduce demand for all opioids, particularly ones with particularly high abuse liability. Here, we establish a behavioral economics (BE) procedure to assess the effects of OxR1 antagonism on demand for the highly abused opioid fentanyl. We also investigate the utility of our novel procedure in predicting OxR1 antagonism efficacy and relapse propensity. The OxR1 antagonist SB-334867 (SB) increased demand elasticity (α; decreased motivation) for fentanyl without affecting preferred consumption of fentanyl at null cost (Qo). Baseline α values predicted SB efficacy, such that SB was most effective at increasing demand elasticity in highly motivated rats. SB also attenuated cue-induced fentanyl seeking and baseline α values predicted the amount of reinstatement behavior. These results highlight the promise of the orexin system as a treatment target for opioid addiction and emphasize the usefulness of BE procedures in the study of opioid abuse.

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