A5026786128- Computational Drug Discovery Methods
- Experimental Learning in Engineering
- Chemical Thermodynamics and Molecular Structure
- Advanced Control Systems Optimization
- Thermal and Kinetic Analysis
- Fault Detection and Control Systems
- Analytical Chemistry and Chromatography
- Process Optimization and Integration
- Engineering Education and Pedagogy
- Machine Learning in Materials Science
- Advanced Statistical Methods and Models
- Spectroscopy and Chemometric Analyses
- Iterative Methods for Nonlinear Equations
- Advanced Optimization Algorithms Research
- Numerical Methods and Algorithms
- Risk and Safety Analysis
- Matrix Theory and Algorithms
- Control Systems and Identification
- Statistical and numerical algorithms
- Engineering Education and Curriculum Development
- Numerical methods for differential equations
- Probabilistic and Robust Engineering Design
- Advanced Data Processing Techniques
- Statistics Education and Methodologies
- Phase Equilibria and Thermodynamics
Hebrew University of Jerusalem
2020-2021
Ben-Gurion University of the Negev
2009-2020
Tel Aviv University
1999-2020
University of Connecticut
1980-2020
Interuniversity Institute for Marine Sciences in Eilat
2020
Universidad de Jaén
2019-2020
University of Hawaiʻi at Mānoa
2019-2020
Intel (Israel)
2020
University of Michigan
2020
University of Chemical Technology and Metallurgy
2006-2009
Pooling multiple swab samples before RNA extraction and real-time reverse transcription polymerase chain reaction (RT-PCR) analysis has been proposed as a strategy to reduce costs increase throughput of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests. However, reports on practical large-scale group testing for SARS-CoV-2 have scant. Key open questions concern reduced sensitivity due sample dilution, the rate false positives, actual efficiency (number tests saved by...
Abstract In recent years process simulation by computer has become an accepted tool in the design and control of chemical processes, but there are still uncertainties conflicting views about real benefits relative to cost both industry education. This article surveys literature last three years, exploring answers question: How fulfilled expectations education what major areas research identifiable at this time? It is concluded that remains a very dynamic field with continuous expansion...
Abstract The numerical solution of n non‐linear algebraic equations with unknowns, when any or all the variables are subjected to constraints, is discussed. Distinction made between physical and absolute constraints. It shown, using a set test problems, that constrained does require special approach. found step length restricted Newton's method performs best for problems Physical constraints can be handled continuation penalty functions.
From the Publisher: A companion book including interactive software for students and professional engineers who want to utilize problem-solving effectively efficiently obtain solutions realistic complex problems. An Invaluable reference that discusses Illustrates practical numerical problem solving in core subject areas of Chemical Engineering. Problem Solving Engineering with Numerical Methods provides an extensive selection problems require from throughout chemical engineering. Many are...
Data transformation for obtaining the most accurate and statistically valid correlation is discussed. It shown that degree of a polynomial used in regression limited by collinearity among monomials. The significance can best be measured truncation to natural error ratio. representing highest power term lower polynomial, due precision experimental data. Several transformations reducing are introduced. use orthogonal polynomials provides an estimation ratio on basis range independent variable...
Abstract Regression of the experimental data one independent variable, y vs . a linear combination functions an variable form = Σβ j f (x) is considered. Inherent collinearity among terms such may prevent obtaining model desired accuracy. Traditional indicators, condition number normal matrix, variance inflation factor, and new indicator (truncation‐error‐to‐noise ratio) are used to investigate effects range precision independent‐variable on in regression model. Statistical confidence...
Prediction of unknown properties for a target compound using quantitative structure−property relationships (QSPRs) is reliable only if the within model applicability domain. To improve prediction reliability, "targeted" QSPR (TQSPR) method developed in which training set containing compounds structurally similar to first identified. Similarity measured by partial correlation coefficients between vectors molecular descriptors and each potential predictive compound. Available property data are...
Abstract A new approach for predicting a wide range of physical and thermodynamic properties is proposed. It involves calculation the molecular descriptors target compound unknown properties, followed by regression this vector vs. database compounds with known measured properties. The model, obtained in terms predictive their coefficients, then used prediction compound. precision can be estimated from standard deviation correlation property data compounds. proposed method was tested 31 18...
Abstract NOTE: The first page of text has been automatically extracted and included below in lieu an abstract SESSION 2520 A COMPARISON OF SIX NUMERICAL SOFTWARE PACKAGES FOR EDUCATIONAL USE IN THE CHEMICAL ENGINEERING CURRICULUM Mordechai Shacham Department Chemical Engineering Ben-Gurion University the Negev P. O. Box 653 Beer Sheva 84105, Israel Tel: (972) 7-6461481 Fax: 7-6472916 E-mail: shacham@bgumail.bgu.ac.il Michael B. Cutlip Connecticut U-222 Storrs, CT 06269-3222 (860)486-0321...