|Cell placement is an important phase of current VLSI circuit design styles as standard cell, gate array, and Field Programmable Gate Array (FPGA). Although nondeterministic algorithms such as Simulated Annealing (SA) have been successful in solving this problem, they are known to be slow. In this paper, we propose a neural network algorithm that produces solutions as good as SA in substantiall...

Material efficiency (ME) strategies are pursued by governments and companies to reduce environmental emissions, improve supply chain resilience, enhance cost competitiveness. flow analysis (MFA) methods useful quantify raw material stocks flows assess the potential impacts of ME strategies. Although popularity MFA is increasing, there methodological limitations that hinder its use as a decision...

The survey studies the minor components' changes in directly brined Aloreña de Málaga table olive fat during processing and shelf life, using standard-multivariate statistics (SM), multifactor (MFA), compositional data (CoDa) analyses. General Linear Model (GLM) showed a significant increase polar compounds (mainly oxidised triacylglycerols diacylglycerols), fatty alcohols (hexacosanol (C26) oc...

Continuous K nearest neighbor queries (C-KNN) on moving objects retrieve the K nearest neighbors of all points along a query trajectory. In existing methods, the cost of retrieving the exact C-KNN data set is expensive, particularly in highly dynamic spatio-temporal applications. The cost includes the location updates of the moving objects when the velocities change over time and the number of ...

The nearest neighbor (NN) technique is very simple, highly efficient and effective in the field of pattern recognition, text categorization, object recognition etc. Its simplicity is its main advantage, but the disadvantages can’t be ignored even. The memory requirement and computation complexity also matter. Many techniques are developed to overcome these limitations. NN techniques are broadly...

Material flow analysis (MFA) is a useful tool to predict the flows of engineered nanomaterials (ENM) to the environment. The quantification of release factors is a crucial part of MFA modeling. In the last years an increasing amount of literature on release of ENM from materials and products has been published. The purpose of this review is to analyze the strategies implemented by MFA models to...

Aim: to assess effect of a training program about maternal fetal attachment skills on prenatal attachment among primigravida women. Subjects and Methods: A quasi experimental research design was utilized. From a specific private Antenatal Clinic in Mansoura city-Egypt eighty primigravida women aged 20 to 35 years, at 30 week gestation, had singleton pregnancy and can read and write were selecte...

Many traits are known to be important in determining the value of Eucalyptus wood as sawn timber. The commercial importance of the microfi bril angle (MFA) for wood quality is well established for a range of softwoods, but is less clear for hardwood species. For instance, the relationships of MFA with wood stiffness and compressive strength are unknown in Eucalyptus. Therefore, the aim of this ...

Metabolic flux analysis (MFA) is a widely used method for quantifying intracellular metabolic fluxes. It works by feeding cells with isotopic labeled nutrients, measuring metabolite isotopic labeling, and computationally interpreting the measured labeling data to estimate flux. Tandem mass-spectrometry (MS/MS) has been shown to be useful for MFA, providing positional isotopic labeling data. Spe...

Intubation of rats with alpha-mercapto-beta-(2-furyl)-acrylic acid (MFA) for 5 days at 50 mg/kg caused a 7-fold increase in kidney copper concentration, a 2-fold increase in kidney zinc concentration, and a 20% increase in liver zinc concentration. The proteins which bound the increased metals were purified and identified as metallothioneins by their amino acid compositions. Two isoforms were i...