نتایج جستجو برای: kom

تعداد نتایج: 485  

Journal: :Curationis 1982
J G Van Niekerk

Tuberkulose is een van die grootste gesondheidsprobleme in Suid-Afrika. As primêre gesondheidswerker speel die ver­ pleegkundige onder andere ’n belangrike rol in alle fasette van tuberkulosesorg. ’n Honderd geregistreerde verpleegkundiges in die Ga-rankuwa-omgewing is gevra om ’n eenvoudige vraelys oor tu­ berkulose in te vul om hulle vlak van kennis te toets. Die gemiddeld van 70 % wat behaal...

2012
Bing Xue Yingcheng Hu

Laminated Veneer Lumber (LVL) panels made from poplar (Populus ussuriensis Kom.) and birch (Betula platyphylla Suk.) veneers were tested for mechanical properties. The effects of the assembly pattern on the modulus of elasticity (MOE) and modulus of rupture (MOR) of the LVL with vertical load testing were investigated. Three analytical methods were used: composite material mechanics, computer s...

Journal: :Genetics and molecular research : GMR 2016
X H Zhu S P Cheng T Liao X Y Kang

Populus talassica Kom. is an ecologically important species endemic to central Asia. In China, its main distribution is restricted to the Ili region in the Xinjiang Autonomous Region. An understanding of genetic diversity and population structure is crucial for the development of a feasible conservation strategy. Twenty-six high-level simple sequence repeat (SSR) markers were screened and used ...

Journal: :Biochemical systematics and ecology 2000
Kawashty El-Garf

The genus Verbena L. (Verbenaceae) comprises 250 species mainly in tropical and temperate America. It is represented in Egypt by two species viz. Verbena ozcinalis L. and V. supina L. (Taeckholm, 1974). Verbena ozcinalis is widely distributed mainly in the northern hemisphere while V. supina is of Mediterranean, West Irano}Turanian and East Saharo-Arabian distribution (Fienbrun-Dothan, 1978). I...

Journal: :Neural Networks 1988
R. Paul Gorman Terrence J. Sejnowski

-A neural network learning procedure has been applied to the classification ~/sonar returns [kom two undersea targets, a metal cylinder and a similarly shaped rock. Networks with an intermediate layer ~/ hidden processing units achieved a classification accuracy as high as 100% on a training set of l04 returns. These net~orks correctly classified up to 90.4% of 104 test returns not contained in...

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