scholarly journals SELECTION OF STORAGE MEDIA FOR PIG A.I. — LABORATORY METHODS FOR REGULATING THE ACIDITY AND OSMOLARITY OF STORAGE MEDIA FOR BOAR SEMEN

2021 ◽  
Vol 15 ◽  
pp. 219-226
Author(s):  
T. I. DEDE ◽  
J. U. AKPOKODJE ◽  
P. I. ODILI

Simple laboratory methods were used to estimate optimal levels of acidity and osmolarity of four storage media for the boar semen. It was observed that above pH 7.0, less citric acid was needed for a unit change in pH of the sodium-citrate buffer, while above pH 8.0, more sodium carbonate and citric acid were needed for a unit change in the final Sodium-citrate buffered extender (Na-C), indicating high buffering capacity of this medium. The Glucose-glycine buffered extender (G-G), also required more sodium carbonate for a unit change of pH at above pH 6.5, also Indicating high buffering capacity of this medium. This was the same situation with the Tris-buffered extender (Tris), while the response with the Tissue - culture buffer extender (YCN) was always linear, indicating poor buffering capacity of the medium.

1987 ◽  
Vol 26 (7) ◽  
pp. 1291-1296 ◽  
Author(s):  
Binay K. Dutta ◽  
Ranjan K. Basu ◽  
Amit Pandit ◽  
Parthasarathi Ray

2016 ◽  
Vol 58 (2) ◽  
pp. 140-145 ◽  
Author(s):  
İbrahim Aydin ◽  
Hakan Çetinel ◽  
Ahmet Pasinli ◽  
Mithat Yuksel

2013 ◽  
Vol 55 (10) ◽  
pp. 782-788 ◽  
Author(s):  
Ibrahim Aydin ◽  
Hakan Cetinel ◽  
Ahmet Pasinli ◽  
Mithat Yuksel

2012 ◽  
Vol 20 (3) ◽  
pp. 376-383 ◽  
Author(s):  
Rodrigo Cavassim ◽  
Fábio Renato Manzolli Leite ◽  
Daniela Leal Zandim ◽  
Andrea Abi Rached Dantas ◽  
Ricardo Samih Georges Abi Rached ◽  
...  

2018 ◽  
Vol 18 (1) ◽  
pp. 13
Author(s):  
Yulia Dewi Regita ◽  
Kiswara Agung Santoso ◽  
Ahmad Kamsyakawuni

Optimization problems are often found in everyday life, such as when determining goods to be a limited storage media. This causes the need for the selection of goods in order to obtain profits with the requirements met. This problem in mathematics is usually called a knapsack. Knapsack problem itself has several variations, in this study knapsack type used is multiple constraints knapsack 0-1 which is solved using the Elephant Herding Optimization (EHO) algorithm. The aim of this study is to obtain an optimal solution and study the effectiveness of the algorithm comparing it to the Simplex method in Microsoft Excel. This study uses two data, consisting of primary and secondary data. Based on the results of parameter testing, the proven parameters are nClan, nCi,α,β and MaxGen have a significant effect. The final simulation results have also shown a comparison of the EHO algorithm with the Simplex method having a very small percentage deviation. This shows that the EHO algorithm is effective for completing optimization multiple constraints knapsack 0-1. Keywords: EHO Algorithm, Multiple Constraints Knapsack 0-1 Problem.


1935 ◽  
Vol 18 (2) ◽  
pp. 97-104 ◽  
Author(s):  
Hugh L. Templeton ◽  
H.H. Sommer
Keyword(s):  

2018 ◽  
Vol 34 (6) ◽  
pp. 2913-2926 ◽  
Author(s):  
Dante Alighiri ◽  
Edy Cahyono ◽  
Willy Tirza Eden ◽  
Ersanghono Kusuma ◽  
Kasmadi Imam Supardi

The study to improve the quality of Indonesia betel leaves oil is done by treatment of citric acid and sodium carbonate. The treatment showed that the iron content and acid value were reduced optimally in the addition of 5% (w/w) citric acid (12 hours, 50oC) and 5% (w/w) sodium carbonate (9 hours, 50oC) yielded 0.45 mg/L of iron content and 1.00 mg/g of acid value, respectively. The main component of Indonesia betel leaves oil are 4-allyl phenylacetate. The descriptive sensory analysis showed that there were differences between betel leaves oil from Bogor compared with Boyolali and Makassar. There is a significant difference that the content of betel leaves oil from Bogor contains an isoeugenol compound of 20.71% while, Boyolali and Makassar contain eugenol of 17.02 and 19.21%, respectively. The study of the insect repellency indicated that Indonesia betel leaves oil potentially used as mosquito of Aedes aegypti repellent.


2019 ◽  
Vol 135 (3) ◽  
pp. 195-201 ◽  
Author(s):  
Wuchao Wang ◽  
Yi Pan ◽  
Kang Gong ◽  
Qi Zhou ◽  
Tonghua Zhang ◽  
...  

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