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Titlebook: Forest Trees; Chittaranjan Kole Book 2007 Springer-Verlag Berlin Heidelberg 2007 Economic plants.Fagaceae.Field crops.Gene maps.Plant bree

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樓主: Maculate
31#
發(fā)表于 2025-3-26 23:42:58 | 只看該作者
32#
發(fā)表于 2025-3-27 04:07:38 | 只看該作者
33#
發(fā)表于 2025-3-27 05:22:21 | 只看該作者
34#
發(fā)表于 2025-3-27 09:45:12 | 只看該作者
Energiebewertung, der Exergie-Begriff, vaccine antigens, antibodies, diagnostic proteins) in seeds of model plants as well as crops such as rice, soybean, and maize. We discuss the regulatory and biosafety issues in plant molecular farming and other aspects involving product development and commercialization.
35#
發(fā)表于 2025-3-27 16:42:00 | 只看該作者
,Isolierung, Identifizierung und Strukturauf- kl?rung eines Naturstoffes Citronens?ure, eine einzige Methode alleine nicht zum Ziel führt, sondern da? verschiedene Methoden sich erg?nzen. Auf diese Weise kann ein Beitrag zur Schulung naturwissenschaftlicher Denk- und Handlungskompetenz geleistet werden.
36#
發(fā)表于 2025-3-27 19:43:56 | 只看該作者
37#
發(fā)表于 2025-3-28 01:19:15 | 只看該作者
Ahmed Fawzy Gad show that the average absolute error between actual and estimated coordination equal to 1.796044?m and average elapsed time equal 0.030439?s, which is unacceptable in our opinion because the localization system must be more accurate. To address this problem, a proposed improvement on KNN algorithm
38#
發(fā)表于 2025-3-28 02:37:35 | 只看該作者
Some Comments on the Relation Between Synergetics and Other Sciences, and two adult haemoglobins A and A . E-and IX-chains are part of the embryonic haemoglobins Gower 1 (E4) and 2 Gower 2 (1X2E2). These haemoglobins predominate in embryos during the second month of pregnancy and at the end of the first trimester they are completely re- placed by foetal haemoglobin F (~Y2). Ad978-94-010-1092-4978-94-010-1090-0
39#
發(fā)表于 2025-3-28 08:14:03 | 只看該作者
40#
發(fā)表于 2025-3-28 11:42:01 | 只看該作者
A VGG16 Feature-Based Transfer Learning Evaluation for the Diagnosis of Oral Squamous Cell Carcinom by 83%. This chapter shall explore the use of a feature-based transfer learning model, i.e., VGG16 coupled with different types of conventional machine learning models, viz. Support Vector Machine (SVM), Random Forest as well as .-Nearest Neighbour (.NN) as a means to identify OSCC. A total of 990
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