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INTRODUCTION. .. ............................................................... 417 Relative frequency of crossing over in males and females. ............................. 418 Previous investigations. ...................................................... 418 Crossing over between B b and Lg I , and between C c and Sh sh in microsporogenesis and megasporogenesis. .................................
10.1128/AEM.67.1.426-433.2001. 2001, 67(1):426. DOI: Appl. Environ. Microbiol. Yoshikatsu Murooka Hisayo Ono, Mitsuo Yamashita, Yoshinobu Kaneko and Pornpimon Kiatpapan, Hajime Kobayashi, Maki Sakaguchi, Biosynthesis ), Which Are Essential for Fatty Acid accBCDA Acetyl Coenzyme A Carboxylase ( ) and fabH Carrier Protein Synthase III ( -Ketoacyl-Acyl β Genes for plantarum Lactobacillus Molecular...
Geobacillus thermoleovorans CCB_US3_UF5 is a thermophilic bacterium isolated from a hot spring in Malaysia. Here, we report the complete genome of G. thermoleovorans CCB_US3_UF5, which shows high similarity to the genome of Geobacillus kaustophilus HTA 426 in terms of synteny and orthologous genes.
The TREC 2004 Terabyte Track evaluated information retrieval in largescale text collections, using a set of 25 million documents (426 GB). This paper gives an overview of our experiences with this collection and describes Amberfish, the text retrieval software used for the experiments.
On Authors request: "Wrong total number of cases selected in the article, wrong number of cases in the minimally invasive surgery, and there are errors in the hospital complications" Reference: Minimally Invasive Cardiac Surgery in China: Multi-Center Experience Kun Hua, Yang Zhao, Ran Dong, Taoshuai Liu Med Sci Monit 2018;24: 421-426 10.12659/MSM.905408.
Effect of LiCoO2 Cathode Nanoparticle Size on High Rate Performance for Li-Ion Batteries Minki Jo, Young-Sik Hong, Jaebum Choo, and Jaephil Cho* Division of Energy Engineering, Ulsan National Institute of Science & Technology, Ulsan 689-805, Korea Department of Science Education, Seoul National University of Education, Seoul 137-742, Korea Department of Applied Chemistry, Hanyang University, An...
Deep learning algorithms show good prospects for remote sensing flood monitoring. They mostly rely on huge amounts of labeled data. However, there is a lack available data in actual needs. In this paper, we propose high-resolution multi-source dataset area extraction: GF-FloodNet. GF-FloodNet contains 13388 samples from Gaofen-3 (GF-3) and Gaofen-2 (GF-2) images. We use multi-level sample selec...
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