نتایج جستجو برای: principal component analyses

تعداد نتایج: 1055377  

Journal: :international journal of advanced biological and biomedical research 2014
masoomeh rajabi hashjin mohammad hossein fotokian mostafa agahee sarbrzeh mohsen mohammadi daryush talei

genetic  diversity  is  the  basis  of  the  natural  evolution  of  plant  breeding  and  biological  system  are  important  components  of  sustainability. the aim of this study was to evaluate 116 genotypes of triticum turgidum from seven countries in terms of morphological traits. the results showed that high significant differences among the genotypes. the correlation between grain yield ...

Daryush Talei Masoomeh Rajabi Hashjin Mohammad Hossein Fotokian Mohsen Mohammadi Mostafa Agahee Sarbrzeh

Genetic  diversity  is  the  basis  of  the  natural  evolution  of  plant  breeding  and  biological  system  are  important  components  of  sustainability. The aim of this study was to evaluate 116 genotypes of Triticum turgidum from seven countries in terms of morphological traits. The results showed that high significant differences among the genotypes. The correlation between gra...

Journal: :iranian biomedical journal 0
mohammad arjmand azadeh madrakian ghader khalili ali najafi dastnaee zahra zamani ziba akbari

background: cutaneous leishmaniasis is one of the most important parasitic diseases in humans. in this disease, one of the responsible organisms is leishmania major, which is transmitted by sandfly vector. there are specific differences in biochemical profiles and metabolite pathways in logarithmic and stationary phases of leishmania parasites. in the present study, 1h nmr spectroscopy was used...

Journal: :فیزیک زمین و فضا 0
مهدی صادقی دانشجوی کارشناسی ارشد ژئوفیزیک (لرزه شناسی)، دانشگاه صنعتی شاهرود، ایران امین روشندل کاهو استادیار، دانشکده معدن، نفت و ژئوفیزیک، دانشگاه صنعتی شاهرود، ایران حمیدرضا سیاه کوهی استاد، گروه فیزیک زمین، موسسه ژئوفیزیک دانشگاه تهران، ایران علیرضا حیدریان دانشجوی دکتری ژئوفیزیک، موسسه ژئوفیزیک، دانشگاه تهران، ایران

spectral decomposition of time series has a significant role in seismic data processing and interpretation. since the earth acts as a low-pass filter, it changes frequency content of passing seismic waves. conventional representing methods of signals in time domain and frequency domain cannot show time and frequency information simultaneously. time-frequency transforms upgraded spectral decompo...

Journal: :Information and Inference 2013

Journal: :Neural Computation 2020

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