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Candidate

Example 5.1 Each component for the mixture in Table 5.2 is to he separated into relatively pure products. Use the heuristics to determine sequences which are candidates for further evaluation. [Pg.133]

Clearly, the conflicts that have arisen in this problem have not been too helpful in identifying sequences which are candidates for further evaluation. A little more intelligence could be used in apphcation of the heuristics, and they could be ranked in order of... [Pg.134]

Alternative superstructures to those in Figs. 16.26 and 16.27 can be developed. On the one hand, it is desirable to include many structural options to ensure that all features which are candidates for an optimal solution have been included. On the other hand, including more and more structural features increases the computational load dramatically. Thus care should be taken not to include unnecessary features in the superstructure. [Pg.396]

In the experiments, the probabilities were estimated from the processed signal by means of a histogram. It is well known that the entropy is large for nearly uniform distributions and small for distributions with few peaks. Thus it is an interesting candidate as a performance measure when the goal is to process a signal to become more easily interpreted. [Pg.91]

The method implies injection of a mixture of 3 radioactive tracers each being distributed into one of the 3 phases. The tracers must show such differences in the emitting y-radiation energy spectra that they can be simultaneously detected by on line y-spectrometry. Candidate tracers are Br-82 as bromobenzene for oil, Na-24 or La-140 for water, and Kr-85 for gas. The tracers are injected simultaneously at a constant rate into the flow in the pressurised pipe, and the concentration is detected as series of instantaneous measurements taken downstream as illustrated in figure 2. [Pg.1056]

Laser-based profilometry systems have also been adapted for unique applications in nuclear power generating plants. Applications where quantitative information with regard to surface condition for mechanisms such as surface pitting and flow-assisted corrosion are candidates for this NDT method. [Pg.1065]

As a result of several complementary theoretical efforts, primarily the path integral centroid perspective [33, 34 and 35], the periodic orbit [36] or instanton [37] approach and the above crossover quantum activated rate theory [38], one possible candidate for a unifying perspective on QTST has emerged [39] from the ideas from [39, 40, 4T and 42]. In this theory, the QTST expression for the forward rate constant is expressed as [39]... [Pg.891]

Chemical reactions can be studied at the single-molecule level by measuring the fluorescence lifetime of an excited state that can undergo reaction in competition with fluorescence. Reactions involving electron transfer (section C3.2) are among the most accessible via such teclmiques, and are particularly attractive candidates for study as a means of testing relationships between charge-transfer optical spectra and electron-transfer rates. If the physical parameters that detennine the reaction probability, such as overlap between the donor and acceptor orbitals. [Pg.2497]

The appropriate quantum mechanical operator fomi of the phase has been the subject of numerous efforts. At present, one can only speak of the best approximate operator, and this also is the subject of debate. A personal historical account by Nieto of various operator definitions for the phase (and of its probability distribution) is in [27] and in companion articles, for example, [130-132] and others, that have appeared in Volume 48 of Physica Scripta T (1993), which is devoted to this subject. (For an introduction to the unitarity requirements placed on a phase operator, one can refer to [133]). In 1927, Dirac proposed a quantum mechanical operator tf), defined in terms of the creation and destruction operators [134], but London [135] showed that this is not Hermitean. (A further source is [136].) Another candidate, e is not unitary. [Pg.103]

There are two independent coordinates that define the plane of a loop. If the loop is phase inverting, one of these coordinates must be phase inverting, the other, phase preserving. Out of the infinite number of possible candidates, a convenient choice are reaction coordinates (Section I). Any one of the three reaction coordinates connecting two of the anchors can be used for the... [Pg.337]

Moreover, our Hamiltonian system possesses an additional symmetry — it is equivariant under the transformation (52,P2) —(92, 2). In other words each of these sets is a candidate for a set B mentioned in the assumptions of Corollary 4. Thus, by this result, both of these sets are almost invariant with... [Pg.112]

The implicit-midpoint (IM) scheme differs from IE above in that it is symmetric and symplectic. It is also special in the sense that the transformation matrix for the model linear problem is unitary, partitioning kinetic and potential-energy components identically. Like IE, IM is also A-stable. IM is (herefore a more reasonable candidate for integration of conservative systems, and several researchers have explored such applications [58, 59, 60, 61]. [Pg.241]

The optimization of the backtracking algorithm usually consists of an application of several heuristics which reduce the number of candidate atoms for mapping from Gq to Gj. These heuristics are based on local properties of the atoms such as atom types, number of bonds, bond orders, and ring membership. According to these properties the atoms in Gq and Gj are separated into different classes. This step is known in the literature as partitioning [13]. Table 6.1 illustrates the process of partitioning. [Pg.301]

DENDRAL followed a three-stage procedure. In the first phase, the so-called plan, prior knowledge, and heuristics were used to deduce a set of constraints. Constraints could be, for example, the exemption of large sets of candidate solutions or the suggestion for a extensive search over limited classes of solutions. [Pg.480]

The partition coefficient and aqueous solubility are properties important for the study of the adsorption, distribution, metabolism, excretion, and toxicity (ADME-Tox) of drugs. The prediction of the ADME-Tox properties of drug candidates has recently attracted much interest because these properties account for the failure of about 60 % of all drug candidates in the clinical phases. The prediction of these properties in an early phase of the drug development process could therefore lead to significant savings in research and development costs. [Pg.488]

The descriptor set can then be reduced by eliminating candidates that show such bad characteristics. Optimization techniques such as genetic algorithms (see Section 9.7) are powerful means of automating this selection process. [Pg.490]

In particular, in silico methods are expected to speed up the drug discovery process, to provide a quicker and cheaper alternative to in vitro tests, and to reduce the number of compounds with unfavorable pharmacological properties at an early stage of drug development. Bad ADMET profiles are a reason for attrition of new drug candidates during the development process [9, 10]. The major reasons for attrition of new drugs are ... [Pg.598]


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A Promising Clinical Candidate

Accurate candidate regions

Alternative Sources of Novel Probiotics Candidates

Anti-fungal candidates

Anti-tumour candidates

Antitumor candidate

Assessing the Candidates—Lines of Communication

Association studies using candidate genes

Balanced Portfolio of Clinical Candidates

Biocides candidate

Biopharmaceutics candidate drug selection

CANDIDATES FOR SUPERCRITICAL FLUIDS

COMPUTATION OF THE PID FROM A STACKING SEQUENCE CANDIDATE

Candidate Chromophores

Candidate Gene Studies

Candidate Receptors

Candidate compounds

Candidate density

Candidate density Metropolis-Hastings

Candidate density acceptance-rejection-sampling

Candidate density matched curvature heavy-tailed

Candidate density matched curvature normal

Candidate design

Candidate drug molecules

Candidate drug molecules chemical libraries

Candidate drug molecules lead compounds

Candidate drug salt selection

Candidate drug selection biopharmaceutical support

Candidate drug selection lead identification

Candidate drug selection preformulation

Candidate drug selection, preferred

Candidate drugs

Candidate drugs to evaluate for effects on gut immune system

Candidate evaluation grid

Candidate for investigation

Candidate gene analysis

Candidate gene approach

Candidate gene association studies

Candidate gene profiling

Candidate genes

Candidate herbicide

Candidate library

Candidate liquid salts

Candidate markers

Candidate materials

Candidate methods

Candidate operation set

Candidate partners, developing

Candidate partnerships

Candidate region

Candidate residue pairs

Candidate screening

Candidate selection

Candidate selection (chapter

Candidate sites, direct testing

Candidate solution

Candidate state

Candidate status

Candidate structures

Candidate systems

Candidate-gene strategy

Candidate-selection process

Candidates for active conformers substructures

Candide

Candide

Catalysts candidates

Chemistry Thousands of Candidate Drugs in a Few Easy Steps

Chiral drug candidates

Clinic candidate

Clinic development candidate selection

Clinical Candidate Database

Clinical candidate

Clinical candidate selection

Clinical candidates finding

Clinical candidates from other drugs

Clinical candidates selecting

Clinical candidates sharing

Clinical trials drug candidates

Comparison of Three Candidate Entrainers

Contaminant Candidate List

Contractor Candidate Evaluations

Degradation pharmaceutical drug candidates

Development candidates

Development of drugs candidate

Developmental candidate

Discovery of clinical candidates

Discovery phase, candidate

Discovery phase, candidate screening

Discovery program, drug candidate

Drug Candidates for Effective Targeting

Drug Metabolism discovery: candidate

Drug candidate screening

Drug candidate selection

Drug candidate, hepatotoxic potential

Drug candidates APIs)

Drug candidates biotransformation

Drug candidates development

Drug candidates high-quality

Drug candidates ionization constant

Drug candidates metabolic pathways

Drug candidates optimization

Drug candidates oral absorption potential

Drug candidates pharmaceutical ingredients

Drug candidates quantitative analysis

Drug candidates stability testing

Drug candidates structures

Drug candidates, stress

Drug candidates, stress testing

Drug development candidate drugs

Drug discovery research candidate

Drug discovery stages candidate selection

Drug testing lead candidate

Effect of Candidate Compounds with Antisecretory Potential on Serum Gastrin Levels

Energy crops, candidate

Experimental membrane candidates

Family benefits are unlikely candidates to activation

Fault candidates

Filtering candidates by calculated properties

Fragment-derived candidates

GAS CANDIDATES

Galectins candidates

Genome-wide Computational Screen for Candidate HIF Target Genes in Drosophila melanogaster and Caenorhabditis elegans

Genomic approaches candidate genes

H3 inverse agonist clinical candidate

Heart candidate selection

Hepatitis C drug candidate

High-quality candidate

Human leukocyte antigen , candidate

Hydrophobic mismatch a candidate mechanism for neuromolecular computing

Impurities pharmaceutical drug candidates

Inhibitors candidates

Integration of Lead Optimization Data for Candidate Selection and Development

Interview , job candidate

Isolating Candidates

Job candidates

Late Stage NDAs and Clinical Candidates

Lead Generation Approaches Delivering Inhaled p2-Adrenoreceptor Agonist Drug Candidates

Lead Optimization and Candidate Selection

Lead candidate

Lead candidate, pharmacokinetic evaluation

Lead development candidate

Lead-free solder candidate alloys

Lycoranes, a Goldmine of Pharmaceutical Candidates

Metallic interconnects candidate alloys

Metropolis-Hastings algorithm independent candidate density

Metropolis-Hastings algorithm random-walk candidate density

Minority candidates

Most-Studied Candidates and Coating Methodology

Nasal peptide drug candidates

New drug candidates

Officer Candidate School, CWS

Oxygen candidates

Partial candidate region

Pfizer clinical candidates

Pharmaceutical properties lead candidate

Pharmaceuticals candidate selection

Pharmaceuticals drug candidate molecules

Physicochemical properties of drug candidates

Polyp Candidate

Preclinical Safety Assessment of Drug Candidate-Induced Pancreatic Toxicity From an Applied Perspective

Preclinical candidates

Preclinical drug candidate safety

Preclinical drug candidate safety assessment

Preparation of the Candidate CRM

Preparation of the Candidate CRMs

Preparation of the Candidate Reference Material

Project Constructor Candidate Evaluations

Quinoxaline candidates

Screen for candidate HIF target genes

Screening applicants ranking candidates

Selecting Clinical Candidates for Trial

Selecting Potential Candidates

Selecting candidate processes

Selection of Candidates

Selection of clinical candidates

Solder Alloy candidates

Solubility candidate drug salt selection

Solvent extraction candidates

Sources of Candidates

Stability candidate drug salt selection

Stability of drug candidates

Steam Lines and Candidate Materials

Stille reaction candidate

Stroke, drug candidate

Syntheses, chemical candidates

Target Candidates

Technology candidate selection

The Candidate

The Candidate Physical Ability Test

The candidate-gene approach

Thiazole-containing drug candidates

Thiazoles thiazole-containing drug candidate

Toller selection candidates

Toxicology formulation clinical candidate

Tumours, anti-tumour candidates

Validation of Candidates

Voltaire, Candide

Well stimulation candidates

Why Perovskite-Type Catalysts are Good Candidates

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