Protein structure prediction (PSP) is one of the most important problems in computational biology. This chapter introduces a novel hybrid Estimation of Distribution Algorithm (EDA) to solve the PSP problem on HP model. Firstly, a composite fitness function containing the information of folding structure core (H-Core) is introduced to replace the traditional fitness function of HP model. The new...

Quantum chemistry in the form of density functional theory (DFT) calculations is a powerful numerical experiment for predicting intermolecular interaction energies. However, no chemical insight gained this way beyond predictions observables. Energy decomposition analysis (EDA) can quantitatively bridge gap by providing values drivers interactions, such as permanent electrostatics, Pauli repulsi...

This paper introduces a new hybrid evolutionary algorithm (EA) for continuous global optimization problems, called estimation of distribution algorithm with local search (EDA/L). Like other EAs, EDA/L maintains and improves a population of solutions in the feasible region. Initial candidate solutions are generated by uniform design, these solutions evenly scatter over the feasible solution regi...

This paper presents a freeware EDA framework for teaching mixed-mode full-custom VLSI design. The proposed set of EDA tools and associated physical design kit (PDK) allows students to gain handson experience on ASIC design tasks covering schematic entry, both at system and circuit levels, HDL system simulation and block specification, automatic circuit optimization, PCell-based layout, physical...

Abstraet---Ethylenediamine (EDA) is adsorbed from aqueous solution on Na-, Kand Li-montmorillonite as the monoprotonated cation (EDAH +) through an ion-exchange process. On washing with distilled water the second amine function is protonated--probably through dissocmtion of water near the clay surface--and simultaneously formed alkali hydroxide is removed. In air-dried clay films, prepared from...

Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Restricted Boltzmann Machines (RBMs) are generative neural networks with these desired properties. We integrate an RBM into an EDA and evaluate the performance of this system in solving combinatorial optimization problems with a single objective. We assess how the number...

The Journal of Clinical Investigation | October 2003 | Volume 112 | Number 7 Introduction Patients with anhidrotic ectodermal dysplasia with immunodeficiency (EDA-ID) present with impaired development of skin appendices, resulting in sparse hair, conical teeth, and anhidrosis/hypohidrosis. Host defense is also impaired, resulting principally in multiple and severe bacterial diseases (1). X-link...

The EDA model (Epistemic-Deontic-Axiological) is an agent model based on the social psychology theoretical classification of norms and corresponding attitudes: Ontological, Epistemic, Deontic and Axiological. EDA agents are situated in normative information fields, and are described in terms of the basic attitudes aforementioned. Information fields are used as the basis for coordinating an orga...

The mesoporous carbon (CMK-3) functionalized with ethylenediamine (EDA) has been synthesized (CMK-3-EDA) and applied as a new mesoporous adsorbent for removal of Cu(II) and Pb(II) cations from aqueous solutions. Nitrogen adsorption–desorption measurements (BET) show that surface area, pore size and pore volume of CMK-3 were significantly changed after amine modification. The BET surface area an...

In the modern semiconductor industry, automatic generation of parameterized and recurring layout structures plays an important role and should be present as a feature in Electronic Design Automation (EDA)-tools. Currently these layout generators are developed with a proprietary programming language and can be used with a specific EDA-tool. Therefore, the semiconductor companies find the develop...