A method based on the adaptive-network-based fuzzy inference system (ANFIS) is presented for computing the narrow aperture dimension of the pyramidal horn. Eight optimization algorithms, least-squares, hybrid learning, Nelder-Mead, genetic, differential evolution, particle swarm, simulated annealing, and clonal selection, are used to optimally determine the design parameters of the ANFIS. The narrow aperture dimension computed by using the ANFIS is used in the optimum gain pyramidal horn design. The computed gains of the designed pyramidal horns are in a very good agreement with the desired gains. When the performances of ANFIS models are compared with each other, the best result is obtained from the ANFIS model trained by the least-squares algorithm.
Adaptivně administrované testy s dichotomně skórovanými položkami jsou již v odborné literatuře poměrně dobře popsány a v praxi jsou stále častěji využívány. Předložená studie popisuje a hlouběji analyzuje možnosti adaptivní administrace testů s polytomními položkami, které jsou nejčastěji využívány v široké oblasti diagnostiky osobnosti. Na základě rozboru adaptivní administrace testu NEO PI-R jsou prozkoumány výhody a nevýhody tohoto přístupu. Adaptivní administrace ve srovnání s plnou délkou testu úspěšně rekonstruuje úroveň všech měřených rysů, a to za použití výrazně nižšího počtu položek. Výrazným problémem je však nadužívání několika málo položek, které jsou charakteristické vysokou mírou rozlišovací účinnosti. Pro studii byl využit reprezentativní soubor osob, který byl sestaven za účelem standardizace dotazníku NEO PI-R v českých podmínkách (N = 2084). and Adaptive administration of NEO PI-R: limits and benefits
Adaptively administered tests with dichotomously scored items are already well described in the relevant literature and used in practice. The presented study analyses the possibilities of adaptive administration of test with polytomous items, which are commonly used in personality testing. Based on analysis of simulated adaptive administration of NEO PI-R, the limits and benefits of this approach are discussed. It was found that adaptive administration successfully and more effectively reconstructs the level of measured traits ADAPTIVNÍ ADMINISTRACE NEO PI-R: VÝHODY A OMEZENÍ1 MARTIN JELÍNEK, PETR KVĚTON, DALIBOR VOBOŘIL Psychologický ústav AV ČR, Brno in comparison with full scale administration. On the other hand, significant problem consists in overexposure of several items with highest item discrimination power. Representative sample built for the purposes of Czech standardization of NEO PI-R was used (N = 2084).
After sigmoid activation function is replaced with piecewise linear activation function, the adding decaying self-feedback continuous Hopfield neural network (ADSCHNN) searching space changes to hyper-cube space, i.e. the simplified ADSCHNN is obtained. Then, convergence analysis is given for the simplified ADSCHNN in hyper-cube space. It is proved through convergence analysis that the ADSCHNN outperforms the continuous Hopfield neural network (CHNN), when they are applied to solve optimization problem. It is also proved that when extra self-feedback is negative, the ADSCHNN is more effective than the extra self-feedback is positive, when the ADSCHNN is applied to solve TSP.
In a case-cohort design, covariate histories are measured only on cases and a subcohort that is randomly selected from the entire cohort. This design has been widely used in large epidemiologic studies, especially when the exposures of interest are expensive to assemble for all the subjects. In this paper, we propose statistical procedures for analyzing case-cohort sampled current status data under the additive hazards model. Asymptotical properties of the proposed estimator are described and we suggest a resampling method to estimate the variances. Simulation studies show that the proposed method works well for finite sample sizes, and one data set is analyzed for illustrative purposes.
Adiponectin (APN), an adipose tissue-excreted adipokine, plays protective roles in metabolic and cardiovascular diseases. In this study, the effects and mechanisms of APN on biological functions of rat vascular endothelial progenitor cells (VEPCs) were investigated in vitro . After administrating APN in rat VEPCs, the proliferation was measured by methyl thiazolyl tetrazolium (MTT) method, the apoptotic rate was test by Flow cytometry assay, mRNA expression of B-cell lymphoma-2 (Bcl-2) and vascular endothelial growth factor (VEGF) was determined by real-time reverse transcriptase polymerase chain reaction (RT-PCR), and protein expression of mechanistic target of rapamycin (mTOR), signal transducer and activator of transcription 3 (STAT3) and phospho-STAT3 (pSTAT3) was analyzed by Western blot. It was suggested that APN promoted the optical density (OD) value of VEPCs, enhanced mRNA expression of Bcl-2 and VEGF, and inhibited cell apoptotic rate. Furthermore, protein expression of pSTAT3 was also increased in the presence of APN. Moreover, APN changed-proliferation, apoptosis and VEGF expression of VEPCs were partially suppressed after blocking the mTOR-STAT3 signaling pathway by the mTOR inhibitor XL388. It was indicated that APN promoted biological functions of VEPCs through targeting the mTOR-STAT3 signaling pathway., Xiaoying Dong, Xia Yan, Wei Zhang, Shengqiu Tang., and Obsahuje bibliografii