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11#
發(fā)表于 2025-3-23 11:28:57 | 只看該作者
Poly-implantation and Embryonic Deathia has an evidence of self-sustaining growth for more than two decades. The question often arises whether, this increment of positive growth is an implication of shining India. Why is growth more pro-poor in some states than others? We attempt to answer this question using a novel approach that allo
12#
發(fā)表于 2025-3-23 16:10:21 | 只看該作者
Das Schreiben mit Blei, Pinsel und Kreide,iscrete and continuous form is proposed and related characterization theorems are proved. The proposed model fits the data well. Two production seasons of bulb crop garlic are compared from estimated model parameters. We estimate end point of a distribution based on one-sided convergence and minimis
13#
發(fā)表于 2025-3-23 20:23:33 | 只看該作者
14#
發(fā)表于 2025-3-24 00:04:01 | 只看該作者
15#
發(fā)表于 2025-3-24 04:34:22 | 只看該作者
16#
發(fā)表于 2025-3-24 07:05:50 | 只看該作者
Growth Curve of Elephant-Foot-Yam, Plant Stress and Mann-Whitney ,-Statistics,th measurements by Archimedean principle, and then replanting these to continue growth experiment till maturity at the Indian Statistical Institute, Giridih farm. In order to find appropriate seed weight for high yield and appropriate time for harvest, twenty yam plants in each category of seed weig
17#
發(fā)表于 2025-3-24 13:48:13 | 只看該作者
Protein Structure Modeling of Abnormal Genes Associated with PARK 1 and PARK 8 Loci Related to Autosive, autosomal dominant ones are more harmful—than recessive types—and a single copy of their gene causes the disease. Of the five dominant loci involved in PD—PARK1, PARK3, PARK4, PARK5 and PARK8—the two most predominant are PARK1 and PARK8. Understanding and modeling of the abnormal proteins of t
18#
發(fā)表于 2025-3-24 16:18:41 | 只看該作者
19#
發(fā)表于 2025-3-24 21:59:38 | 只看該作者
20#
發(fā)表于 2025-3-24 23:40:34 | 只看該作者
,Coconut Plant Growth, Mahalanobis Distance, and Jeffreys’ Prior,ormative prior and related matching priors are investigated in relation to cases including bi-exponential distribution for first principal component in the analyzed data. Fisher’s information .(.) is seen to be a measure of distribution sensitivity in terms of chi-square distance, extending a result
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