Proposed shunt rounding technique for large-scale security constrained loss minimization

The official published version can be obtained from the link below - Copyright @ 2010 IEEE.Optimal reactive power flow applications often model large numbers of discrete shunt devices as continuous variables, which are rounded to their nearest discrete value at the final iteration. This can degrade optimality. This paper presents novel methods based on probabilistic and adaptive threshold approaches that can extend existing security constrained optimal reactive power flow methods to effectively solve large-scale network problems involving discrete shunt devices. Loss reduction solutions from the proposed techniques were compared to solutions from the mixed integer nonlinear mathematical programming algorithm (MINLP) using modified IEEE standard networks up to 118 buses. The proposed techniques were also applied to practical large-scale network models of Great Britain. The results show that the proposed techniques can achieve improved loss minimization solutions when compared to the standard rounding method.This work was supported in part by the National Grid and in part by the EPSRC. Paper no. TPWRS-00653-2009

Effect of SIMPESA Career Application on Student Self-Efficacy in Selecting majors

This research aims to examine the effect of the use of Android-based career application on the self-efficacy of students in the selection of majors in high school. This research is a pre-experiment research on high school students in Makassar city, South Sulawesi. This research begins with development research and has been produced in previous research an Android-based career application named SIMPESA (high school student interest) that has been tested the validity and acceptance by psychologists and ICT experts and counseling counselor (counselor) to assist students in choosing majors in senior high school. The population in this research was all students of State Senior High School 5 Makassar-South Sulawesi class X. The sampling technique was using proportional random sampling involving 30 students of class X. The research design used is the use of pre-experimental design. The research instrument was using career decision making self-efficacy scale and focus group discussion. While the data analysis technique used t test. The results showed that there was a significant increase in pre-test and post-test averages in the trial group, where the post-test average score was higher than the pre-test average score. The conclusion of this research is SIMPESA android based career application have positive influence to self-efficacy students in selecting majors in senior high school

Rebound Discharge in Deep Cerebellar Nuclear Neurons In Vitro

Neurons of the deep cerebellar nuclei (DCN) play a critical role in defining the output of cerebellum in the course of encoding Purkinje cell inhibitory inputs. The earliest work performed with in vitro preparations established that DCN cells have the capacity to translate membrane hyperpolarizations into a rebound increase in firing frequency. The primary means of distinguishing between DCN neurons has been according to cell size and transmitter phenotype, but in some cases, differences in the firing properties of DCN cells maintained in vitro have been reported. In particular, it was shown that large diameter cells in the rat DCN exhibit two phenotypes of rebound discharge in vitro that may eventually help define their functional roles in cerebellar output. A transient burst and weak burst phenotype can be distinguished based on the frequency and pattern of rebound discharge immediately following a hyperpolarizing stimulus. Work to date indicates that the difference in excitability arises from at least the degree of activation of T-type Ca2+ current during the immediate phase of rebound firing and Ca2+-dependent K+ channels that underlie afterhyperpolarizations. Both phenotypes can be detected following stimulation of Purkinje cell inhibitory inputs under conditions that preserve resting membrane potential and natural ionic gradients. In this paper, we review the evidence supporting the existence of different rebound phenotypes in DCN cells and the ion channel expression patterns that underlie their generation

A QCM-D Analysis of Nanosilver Interactions with Supported Lipid Bilayers (SLBs) in the Presence of Natural Organic Matter (NOM)

We investigated the size-dependence of silver nanoparticle (NP) interactions with L-phosphatidylcholine (PC) supported lipid bilayers (SLBs) when equilibrated with 20 mg/L of four NOM analogs: Suwannee River Humic Acid Standard II (SRHA), Suwannee River Fulvic Acid Standard II (SRFA), Elliott Soil Humic Acid Standard IV (ESHA) and Leonardite Humic Acid Standard (LHAS). We isolated the effective interaction of 20 nm, 40 nm, and 50 nm silver NPs at a concentration of 1E10 NP/mL using quartz crystal microbalance with dissipation monitoring (QCM-D). The study aimed to develop a mechanistic model for nanosilver interactions with SLBs and inform regulators of the health risks associated with the influx and accumulation of NPs in the environment