The Paternity Test and Effect of Environmental on the Calf Auction Price

2020 ◽  
Vol 54 (6) ◽  
pp. 67-71
Author(s):  
Hyeon-Kwon Kim ◽  
◽  
Kyu-Myeong Choi ◽  
Du-Won Sun ◽  
Moon-Sung Park ◽  
...  
Keyword(s):  
Paternity Test ◽  
Auction Price

Assessing exclusionary power of a paternity test involving a pair of alleged grandparents

Transfusion ◽  
2007 ◽  
Vol 47 (2) ◽  
pp. 335-340 ◽  
Author(s):  
Marco A. Scarpetta ◽  
Rick W. Staub ◽  
David D. Einum
Keyword(s):  
Paternity Test

scholarly journals EQUIPMENT PRICE FORECAST BASED ON T-S FUZZY NEURAL NETWORK

2018 ◽  
Vol 48 (4) ◽  
pp. 305-309
Author(s):  
G. P. JIANG ◽  
L. XIE ◽  
S. X. SUN
Keyword(s):  
Neural Network ◽  
Wavelet Neural Network ◽  
Test Results ◽  
Factors Affecting ◽  
Price Forecast ◽  
Network Algorithm ◽  
Auction Price ◽  
Variable Weight ◽  
Fuzzy Neural ◽  
Neural Network Algorithm

As we all know, the factors affecting the price of equipment are more complicated, but these factors still have a great correlation. How can we accurately predict the price of equipment? Based on the study of the tight support and smoothness of wavelet function, this paper proposes a correlation variable weight wavelet neural network algorithm to predict the price of 162 devices. The test results show that if the weight is not reduced, the predicted price is 0, and the error is still large. However, by arranging the data from small to large, the variable weighted wavelet neural network algorithm is used to predict the result closer to the auction price, which overcomes the incompatibility of the algorithm iteration and provides a reference for accurately predicting the price of the device.

scholarly journals PSV-37 Relationships among carcass and sensory traits, auction price, and computer image analysis traits of marbling characteristics in Korean beef cattle

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 340-340
Author(s):  
Beak Seok-Hyeon ◽  
Seung Ju Park ◽  
Dilla Fassah ◽  
Hyun Jin Kim ◽  
Hyun Jung Lee ◽  
...  
Keyword(s):  
Image Analysis ◽  
Correlation Analysis ◽  
Computer Image ◽  
Marbling Score ◽  
Computer Image Analysis ◽  
Cross Sectional ◽  
Korean Cattle ◽  
Auction Price ◽  
Quality Grading ◽  
Positive Correlations

Abstract This study examined relationships among carcass and sensory traits, auction price, and computer image analysis (CIA) traits of marbling characteristics in Korean cattle beef. In experiment 1, 43 Korean cattle steers reared in similar feeding conditions were slaughtered at 34 months of age, and carcass traits were evaluated by official meat graders. Carcass auction prices were determined by wholesalers. Cross-sectional photographs of the beef were taken at the 13th thoracic vertebra using beef carcass photography equipment. Image files were analyzed for marbling characteristics using Beef Analyzer II software. Longissimus thoracis (LT) samples obtained after carcass grading were analyzed for sensory traits. Correlations among several variables were analyzed using either Pearson’s correlation or Spearman’s correlation analysis. Marbling score and quality grade (QG) had strong positive correlations (0.63 ≤ r ≤ 0.88, P < 0.01) with several CIA traits, including number of coarse marbling particles (MPs), number of fine MPs, and fineness index. Auction price had strong positive correlations (0.69 ≤ r ≤ 0.76, P < 0.01) with these CIA traits. Most sensory traits were not correlated with CIA traits. In experiment 2, 267 additional LT images photographed at the slaughter house were used for correlation analysis between auction price and CIA traits within an individual QG class [QGs 1 (middle), 1+, and 1++ (best)]. Carcass auction price was positively correlated (0.36 ≤ r ≤ 0.51, P < 0.01) with number of coarse MPs, number of fine MPs, and fineness index in both QGs 1+ and 1++ but not in QG 1. Overall, marbling score and QG had positive correlations with several CIA traits of marbling characteristics. Carcass auction price had positive correlations with CIA traits in QGs 1+ and 1++ but not in QG 1. In conclusion, a CIA method after modification could be incorporated into current beef quality grading systems.

scholarly journals PP-VCA: A Privacy-Preserving and Verifiable Combinatorial Auction Mechanism

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mingwu Zhang ◽  
Bingruolan Zhou
Keyword(s):  
Privacy Preserving ◽  
Network Routing ◽  
Combinatorial Auction ◽  
Sensitive Information ◽  
Sensitive Data ◽  
Winner Determination ◽  
Spectrum Auction ◽  
Auction Price ◽  
Data Volume ◽  
Auction Mechanisms

Combinatorial auctions can be employed in the fields such as spectrum auction, network routing, railroad segment, and energy auction, which allow multiple goods to be sold simultaneously and any combination of goods to be bid and the maximum sum of combinations of bidding prices to be calculated. However, in traditional combinatorial auction mechanisms, data concerning bidders’ price and bundle might reveal sensitive information, such as personal preference and competitive relation since the winner determination problem needs to be resolved in terms of sensitive data as above. In order to solve this issue, this paper exploits a privacy-preserving and verifiable combinatorial auction protocol (PP-VCA) to protect bidders’ privacy and ensure the correct auction price in a secure manner, in which we design a one-way and monotonically increasing function to protect a bidder’s bid to enable the auctioneer to pick out the largest bid without revealing any information about bids. Moreover, we design and employ three subprotocols, namely, privacy-preserving winner determination protocol, privacy-preserving scalar protocol, and privacy-preserving verifiable payment determination protocol, to implement the combinatorial auction with bidder privacy and payment verifiability. The results of comprehensive experimental evaluations indicate that our proposed scheme provides a better efficiency and flexibility to meet different types of data volume in terms of the number of goods and bidders.

scholarly journals Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias

1991 ◽  
Vol 5 (1) ◽  
pp. 193-206 ◽  
Author(s):  
Daniel Kahneman ◽  
Jack L Knetsch ◽  
Richard H Thaler
Keyword(s):  
Loss Aversion ◽  
Status Quo ◽  
Endowment Effect ◽  
Status Quo Bias ◽  
Current State ◽  
Auction Price

A wine-loving economist we know purchased some nice Bordeaux wines years ago at low prices. The wines have greatly appreciated in value, so that a bottle that cost only $10 when purchased would now fetch $200 at auction. This economist now drinks some of this wine occasionally, but would neither be willing to sell the wine at the auction price nor buy an additional bottle at that price. Thaler (1980) called this pattern—the fact that people often demand much more to give up an object than they would be willing to pay to acquire it—the endowment effect. The example also illustrates what Samuelson and Zeckhauser (1988) call a status quo bias, a preference for the current state that biases the economist against both buying and selling his wine. These anomalies are a manifestation of an asymmetry of value that Kahneman and Tversky (1984) call loss aversion—the disutility of giving up an object is greater that the utility associated with acquiring it. This column documents the evidence supporting endowment effects and status quo biases, and discusses their relation to loss aversion.

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