نتایج جستجو برای: genetic network programing with vigorous connection gnp vc

تعداد نتایج: 9687130  

Introduction:  It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability. This study aimed to combine an artificial neural network with the genetic algorithm to assess patients with myocardial infarction and congestive heart failure.   Materials & Methods: This study utilized a m...

Journal: :Nanoscale 2014
Fabrizio Sordello Gul Zeb Kaiwen Hu Paola Calza Claudio Minero Thomas Szkopek Marta Cerruti

We report the hydrothermal synthesis of graphene (GNP)-TiO2 nanoparticle (NP) hybrids using COOH and NH2 functionalized GNP as a shape controller. Anatase was the only TiO2 crystalline phase nucleated on the functionalized GNP, whereas traces of rutile were detected on unfunctionalized GNP. X-Ray Photoelectron spectroscopy (XPS) showed C-Ti bonds on all hybrids, thus confirming heterogeneous nu...

1997
Nachum Shacham Madhu Sudan Michael Brown

Heterogeneous MultiCast (HMC) is a communication paradigm for distributing real-time streams among multiple session participants that have diierent constraints and reception preferences. In HMC, sources ooer streams to the participants , and each participant speciies individualized delity level for each stream he/she wants to receive. Participants can change their speciication in mid-session. T...

Journal: :E-polymers 2022

Abstract Natural rubber latex/graphene nanoplatelet (NRL/GNP) composites containing GNP-pristine and GNP–SDS were prepared by a simple mechanical mixing method. The main objective was to study the effect of dispersibility GNP on properties in NRL. X-ray diffraction confirmed adsorption sodium sulfate dodecyl (SDS) surface. results showed that high filler loading diminished physical but successf...

2009
Yu-Shiun Chen Yao-Ching Hung Ian Liau Li-Wei Lin Meng-Yeng Hong Steve Huang

Aims : To investigate the toxic effect of gold nanoparticles (GNPs) to the learning and memory of mice. Main methods: Naked GNPs of 17 nm and 37 nm were synthesized, purified, and injected intraperitoneally into BALB/C mice at a dose of 8 mg/kg/week. Passive avoidance test was performed to detect the possible leaning impairment. Biochemical analysis to examine levels of monoamine and acetylchol...

2003
Haruhisa Kurokawa Akiya Kamimura Eiichi Yoshida Kohji Tomita Shigeru Kokaji Satoshi Murata

− − We have been developing a self-reconfigurable modular robotic system (M-TRAN) which can make various 3-D configurations and motions. In the second prototype (M-TRAN II), various improvements are integrated in order to realize complicated reconfigurations and versatile whole body motions. Those are a reliable connection/detachment mechanism, on-board multi-computers, high speed inter-module ...

2013
Daniel Y. Joh Lova Sun Melissa Stangl Ajlan Al Zaki Surya Murty Phillip P. Santoiemma James J. Davis Brian C. Baumann Michelle Alonso-Basanta Dongha Bhang Gary D. Kao Andrew Tsourkas Jay F. Dorsey

Successful treatment of brain tumors such as glioblastoma multiforme (GBM) is limited in large part by the cumulative dose of Radiation Therapy (RT) that can be safely given and the blood-brain barrier (BBB), which limits the delivery of systemic anticancer agents into tumor tissue. Consequently, the overall prognosis remains grim. Herein, we report our pilot studies in cell culture experiments...

2015
Yang Chen Li Li Rong Xu

Epidemiological studies suggested that obesity increases the risk of colorectal cancer (CRC). The genetic connection between CRC and obesity is multifactorial and inconclusive. In this study, we hypothesize that the study of shared comorbid diseases between CRC and obesity can offer unique insights into common genetic basis of these two diseases. We constructed a comorbidity network based on mi...

2009
Taisuke Otsu

This paper studies the Generalized Neyman–Pearson (GNP) optimality of empirical likelihood-based tests for parameter hypotheses. The GNP optimality focuses on the large deviation errors of tests, i.e., the convergence rates of the type I and II error probabilities under fixed alternatives. We derive (i) the GNP optimality of the empirical likelihood criterion (ELC) test against all alternatives...

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