نتایج جستجو برای: روش rsm

تعداد نتایج: 373312  

2018
H B Choi J S Hong S S Jin S W Jung J C Jang J H Jeong Y Y Kim

OBJECTIVE This experiment evaluated the effect of dietary supplementation levels of rapeseed meal (RSM) in gestation diets on reproductive performance, blood profiles, milk composition of sows, and growth of their progeny. METHODS A total of 55 mixed-parity sows (Yorkshire×Landrace; average parity = 3.82) with an initial body weight (BW) of 193.0 kg were used in this experiment. Sows were all...

2016
Yonghui Jiao Jing Zhao Bo Hu Xiaoling La Xiaoyun Gong Ying Huang Xia Cai Yi Zhang

Toll-like receptor 4 (TLR4), a recently identified vertebrate receptor, serves a pivotal role in immune responses. The aim of the present study was to investigate the association between the human TLR4 gene and recurrent spontaneous miscarriage (RSM). A total of 306 RSM patents and 306 age-matched controls were genotyped for four single-nucleotide polymorphisms (SNPs) of the human TLR4 gene (rs...

1981
Robert C. Scott Walter A. Silva James R. Florance Donald F. Keller

Experimental data from wind-tunnel tests of the Rigid Semispan Model (RSM) performed at NASA Langley's Transonic Dynamics Tunnel (TDT) are presented. The primary focus of the paper is on data obtained from testing of the RSM on the Oscillating Turntable (OTT). The OTT is capable of oscillating models in pitch at various amplitudes and frequencies about mean angles of attack. Steady and unsteady...

Journal: :Pattern Recognition 2008
Hui Xue Songcan Chen Xiaoqin Zeng

It is well known that the generalization capability is one of the most important criterions to develop and evaluate a classifier for a given pattern classification problem. The localized generalization error model (RSM) [2, 12] recently proposed by Ng et al. provides a more intuitive look at the generalization error. Although RSM gives a brand-new method to promote the generalization performanc...

2005
Yunpeng Xing Jie Liu Xiaoping Sun Erlin Yao

The Semantic Link Network model SLN and Resource Space Model RSM are semantic models proposed separately for effectively specifying and managing versatile resources across the Internet. Collaborating the relational semantics of SLN with the classification semantics of the RSM can support richer semantic modeling in applications. This paper introduces the Resource Class Hierarchies into the SLN ...

Journal: :Reproduction, nutrition, development 1997
T Rotkiewicz G Bomba J Falkowski J Glogowski W Kozera M Kozłowski

Three feeding groups were used: the control (SOY) was fed diets without rapeseed products, and the two experimental groups were fed with either 10% rapeseed meal (RSM) or with 12% OO rape seeds (PFRS). Half of the boars from each group were slaughtered after 1 or 2 years. In RSM and PFRS boars steroid-3-beta-ol-dehydrogenase activity was high, whilst Leydig cells were not numerous after 1 year....

Journal: :Journal of animal science 2016
T G Hulshof P Bikker A F B van der Poel W H Hendriks

An experiment was conducted to determine protein quality in processed protein sources using the content of AA, -methylisourea (OMIU)-reactive Lys, Maillard reaction products (MRP), and cross-link products; the standardized ileal digestibility (SID) of CP and AA; and growth performance in growing pigs as criteria. Differences in protein quality were created by secondary toasting (at 95°C for 30 ...

Journal: :American journal of physiology. Gastrointestinal and liver physiology 2013
Jagmohan Singh Satish Rattan

The role of PKC and RhoA/ROCK pathways in the phasic activities in the rectal smooth muscles (RSM) in the basal state is not known. We examined this issue by determining the effects of PKC inhibitors (calphostin C and Gö-6850) and a ROCK inhibitor (Y-27632) on the slow-rate (~3/min) and fast-rate (~25/min) phasic activities. We also examined the corresponding signal transduction cascades and th...

Journal: :JCIT 2009
Jinn-Min Yang Pao-Ta Yu

Classifier combining techniques have become popular for improving weak classifiers in recent years. The random subspace method (RSM) is an efficient classifier combining technique that can improve classification performance of weak classifiers for the small sample size (SSS) problems. In RSM, the feature subsets are randomly selected and the resulting datasets are used to train classifiers. How...

2012
Mohammed J.K. Bashir Hamidi Abdul Aziz Shuokr Qarani Aziz Salim Abu Amr

Optimization plays a key role in environmental engineering parameters since the best system performance mainly is on optimum point or optimum range. The majority of wastewater treatment processes are multi-variable and optimization through the classical method is inflexible, unreliable and time-consuming. Thus, response surface methodology (RSM), as a very efficient design and widely used techn...

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