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Anomalies

Incidentally, it is advisable to compare the results of several methods to uncover possible anomalies and to analyze the results very carefully. [Pg.108]

To detect surface anomalies caused by hydrocarbon accumulations often very small amounts of petroleum compounds have leaked into the overlying strata and to the surface. On land, these compounds, mostly gases, may be detectable in soil samples. [Pg.24]

Note some particularities of new USCT method. At first, data collection and search of areas with anomalous (inhomogeneous)SD of acoustic parameters (velocities of spreading of US waves) is joined. As a sought image, on which anomalies is revealed, it is offered total image B (r), which practically is the low frequency copy of restored fimction g(f). As PMF SD of... [Pg.251]

Induction laws and experiments show that the impedance of a coil crossed by an AC current put near a conductive piece is modified by the creation of eddy currents. The presence of an anomaly in this material structure modifies the impedance of the generating coil. The impedance variation measure is at the root of non destructive testing by eddy currents. Any variation inside a piece (variation of conductivity or permeability) modifies the intensity and the course of the eddy currents and consequently the coil impedance. [Pg.290]

TECHNICAL CHARACTERISTICS OF PROBES BUILDING 6.1. Influential parameters on the sensibility to anomalies... [Pg.291]

This work allows the optimization of the testing conditions in order to minimize human error in the inteipretation and obtaining of an reproducible and clear anomaly spectrum. [Pg.636]

At the separation surface of two mediums of different magnetic permeability, lines force trajectory is deviated by the anomaly according to known and precise laws. [Pg.637]

The most challenging of these applications has been the location and characterisation of anomalies in thick concrete structures using seismic methods and the detection of reinforcing steel and pre-stressing cables in congested structures using radar. [Pg.999]

A problem obviously exists in trying to characterise anomalies in concrete due to the limitations of the individual techniques. Even a simple problem such as measurement of concrete thickness can result in misleading data if complementary measurements are not made In Fig. 7 and 8 the results of Impact Echo and SASW on concrete slabs are shown. The lE-result indicates a reflecting boundary at a depth corresponding to a frequency of transient stress wave reflection of 5.2 KHz. This is equivalent to a depth of 530 mm for a compression wave speed (Cp) of 3000 m/s, or 706 mm if Cp = 4000 m/s. Does the reflection come from a crack, void or back-side of a wall, and what is the true Cp ... [Pg.1004]

Rowell and co-workers [62-64] have developed an electrophoretic fingerprint to uniquely characterize the properties of charged colloidal particles. They present contour diagrams of the electrophoretic mobility as a function of the suspension pH and specific conductance, pX. These fingerprints illustrate anomalies and specific characteristics of the charged colloidal surface. A more sophisticated electroacoustic measurement provides the particle size distribution and potential in a polydisperse suspension. Not limited to dilute suspensions, in this experiment, one characterizes the sonic waves generated by the motion of particles in an alternating electric field. O Brien and co-workers have an excellent review of this technique [65]. [Pg.185]

This behaviour is characteristic of any two-state system, and the maximum in the heat capacity is called a Schottky anomaly. [Pg.403]

One anomaly inmrediately obvious from table A2.4.2 is the much higher mobilities of the proton and hydroxide ions than expected from even the most approximate estimates of their ionic radii. The origin of this behaviour lies in the way hr which these ions can be acconmrodated into the water structure described above. Free protons cannot exist as such in aqueous solution the very small radius of the proton would lead to an enomrous electric field that would polarize any molecule, and in an aqueous solution the proton inmrediately... [Pg.574]

The simplest system exliibiting a nuclear hyperfme interaction is the hydrogen atom with a coupling constant of 1420 MHz. If different isotopes of the same element exhibit hyperfme couplings, their ratio is detemiined by the ratio of the nuclear g-values. Small deviations from this ratio may occur for the Femii contact interaction, since the electron spin probes the inner stmcture of the nucleus if it is in an s orbital. However, this so-called hyperfme anomaly is usually smaller than 1 %. [Pg.1556]

These apparent anomalies are readily explained. Elements in Group V. for example, have five electrons in their outer quantum level, but with the one exception of nitrogen, they all have unfilled (I orbitals. Thus, with the exception of nitrogen. Group V elements are able to use all their five outer electrons to form five covalent bonds. Similarly elements in Group VI, with the exception of oxygen, are able to form six covalent bonds for example in SF. The outer quantum level, however, is still incomplete, a situation found for all covalent compounds formed by elements after Period 2. and all have the ability to accept electron pairs from other molecules although the stability of the compounds formed may be low. This... [Pg.40]

The first step in developing a QSPR equation is to compile a list of compounds for which the experimentally determined property is known. Ideally, this list should be very large. Often, thousands of compounds are used in a QSPR study. If there are fewer compounds on the list than parameters to be fitted in the equation, then the curve fit will fail. If the same number exists for both, then an exact fit will be obtained. This exact fit is misleading because it fits the equation to all the anomalies in the data, it does not necessarily reflect all the correct trends necessary for a predictive method. In order to ensure that the method will be predictive, there should ideally be 10 times as many test compounds as fitted parameters. The choice of compounds is also important. For... [Pg.243]

The validation of the prediction equation is its performance in predicting properties of molecules that were not included in the parameterization set. Equations that do well on the parameterization set may perform poorly for other molecules for several different reasons. One mistake is using a limited selection of molecules in the parameterization set. For example, an equation parameterized with organic molecules may perform very poorly when predicting the properties of inorganic molecules. Another mistake is having nearly as many fitted parameters as molecules in the test set, thus fitting to anomalies in the data rather than physical trends. [Pg.246]

In order to parameterize a QSAR equation, a quantihed activity for a set of compounds must be known. These are called lead compounds, at least in the pharmaceutical industry. Typically, test results are available for only a small number of compounds. Because of this, it can be difficult to choose a number of descriptors that will give useful results without htting to anomalies in the test set. Three to hve lead compounds per descriptor in the QSAR equation are normally considered an adequate number. If two descriptors are nearly col-linear with one another, then one should be omitted even though it may have a large correlation coefficient. [Pg.247]

Sometimes, the system of interest is not the inhnite crystal, but an anomaly in the crystal, such as an extra atom adsorbed in the crystal. In this case, the inhnite symmetry of the crystal is not rigorously correct. The most widely used means for modeling defects is the Mott-Littleton defect method. It is a means for performing an energy minimization in a localized region of the lattice. The method incorporates a continuum description of the polarization for the remainder of the crystal. [Pg.271]

The measurement of pK for bases as weak as thiazoles can be undertaken in two ways by potentiometric titration and by absorption spectrophotometry. In the cases of thiazoles, the second method has been used (140, 148-150). A certain number of anomalies in the results obtained by potentiometry in aqueous medium using Henderson s classical equation directly have led to the development of an indirect method of treatment of the experimental results, while keeping the Henderson equation (144). [Pg.355]

The vapor density of acetic acid suggests a molecular weight much higher than the formula weight, 60.06. Indeed, the acid normally exists as a dimer (4), both in the vapor phase (5) and in solution (6). This vapor density anomaly has important consequences in engineering computations, particularly in distillations. [Pg.64]

Fig. 3. (a) General locations of hydrothemial power plants in the continental United States (6). Power is produced directiy from hydrothermal steam indicated by the steam plume at The Geysers in northern California. At all other locations, hot water resources are utilized for power production. In 1993, a hydrothermal power plant also came on line on the island of Hawaii, (b) Location of The Geysers steam-dominated hydrothermal field (D) in Lake and Sonoma counties, within the boundaries of the Cleadake—Geysers thermal anomaly (B). [Pg.264]

Thus nicotinoids that have the highest insecticidal action have the highest piC and, consequently, exist largely in the ionized form at physiological pH. This produces the anomaly that the compounds that are most highly ionized react most rapidly with the receptor protein, yet they are less able to penetrate through the ionic barrier surrounding the insect nerve synapse. [Pg.269]


See other pages where Anomalies is mentioned: [Pg.303]    [Pg.304]    [Pg.15]    [Pg.16]    [Pg.251]    [Pg.326]    [Pg.636]    [Pg.678]    [Pg.914]    [Pg.122]    [Pg.408]    [Pg.1372]    [Pg.2267]    [Pg.313]    [Pg.7]    [Pg.109]    [Pg.67]    [Pg.222]    [Pg.6]    [Pg.399]    [Pg.161]    [Pg.294]    [Pg.265]    [Pg.288]    [Pg.268]    [Pg.405]   
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See also in sourсe #XX -- [ Pg.168 ]

See also in sourсe #XX -- [ Pg.295 ]

See also in sourсe #XX -- [ Pg.426 ]

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Ab Initio Investigations of Phonon Anomalies and Martensitic Transformations

Ambiguities and anomalies

Amorphous anomalies

Anomalies Associated with Fluorine

Anomalies and Corrections in Collecting Electrophoresis

Anomalies bulk water

Anomalies expansion

Anomalies glass transition

Anomalies in isosterism

Anomalies in the Flow Properties of Pure Liquids

Anomalies layer

Anomalies modeling effect

Anomalies of water

Anomalies thermodynamic

Anomalies, Special Cases and Non-linearity

Anomaly annular

Anomaly apical

Anomaly electrical conductivity

Anomaly false

Anomaly fusion

Anomaly hydrocarbon

Anomaly hydromorphic

Anomaly in susceptibility

Anomaly kidney

Anomaly linear

Anomaly position

Anomaly renal pelvis

Anomaly residual

Anomaly selective leach

Anomaly spontaneous potential

Anomaly ureter

Anomaly, Incident, and Accident Investigation

Anomaly, geochemical

Anorectal anomaly

Another Anomaly, Vilsmeier-Haack-Arnold Formylation of S-Selinene

Approaches to understand water anomalies

Axial anomaly

Band intensity anomalies

Biogeochemical anomalies

Borate anomaly

Bordwells Anomaly

Boric acid anomaly

Boron anomaly

Boundary anomalies

C-axis anomaly

Carbon dioxide anomalies

Ce anomaly

Cerium anomaly

Chromatographic anomalies

Chromatography anomalies

Chromium isotopic anomalies

Chromosomal anomalies

Climate anomalies

Clouds absorption anomaly

Congenital anomaly

Congenital arterial anomalies

Congenital defects anomalies

Constraints anomalies

Coronary anomalies

Cosmogenic isotope anomalies

Crystallisation anomaly

DUPAL anomaly

Data anomalies

Debye anomalies

Density anomalies order parameter

Density anomaly

Detection anomaly

Detection of Tissue Anomalies and Cancer

Dielectric anomaly

Diffusion anomalies

Diffusion, generally anomalies

Dispersion metal anomaly

Dynamic anomalies

Ebstein’s anomaly

Eccentric anomaly

Elastic anomalies

Electrical anomaly

Electronic structure resistance anomalies

Energy anomaly

Entropy anomalies

Ether anomaly

Eu anomaly

Europium anomaly

Europium anomaly negative

Extra-Coordination as a Spatial and Electronic Anomaly of the Polyhedron

Facial anomalies

Factors affecting carbon dioxide anomalies

Fetal Anomalies

Fetal anomalies, skeletal examination

Fetus anomalies

First Sharp Diffraction Peak Anomalies

First row anomaly

First- and Second-Row Anomalies

First-member anomaly

Flow anomalies

Flow-stress anomaly

Fluid pressure anomalies

Fluorescence The Azulene Anomaly

Further Rare Anomalies of Lipid Metabolism

Gas Hydrate and Chloride Anomalies

Gas Hydrate and Water Isotope Anomalies

Gas anomalies

Genital anomaly

Geobotanical anomalies

Germanate anomaly

Giant Kohn anomaly

Glass transition anomalies dynamic heterogeneity

Global annual temperature anomalies

Global annual temperature anomalies trend

Global temperature anomalies

Gravity anomalies

Hall anomaly

Hall effect sign anomaly

Heat Schottky anomaly

Heat capacity Schottky anomaly

Heterogeneities thermal anomalies

High pressure anomalies

High pressure resistance anomalie

High pressure resistance anomaly

Hydrogen resistivity anomaly

Hyperfine Anomaly

Hyperfine structure anomaly

Intensity anomalies

Intermediate phonon anomalies

Irritancy anomalies

Isotope anomaly

Isotopic anomalies

Isotopic anomalies and condensation sequence

Kohn anomalies

Kondo anomalies

Kondo anomalies electrical resistivity

Kondo anomalies specific heat

Kondo anomalies thermoelectric power

Kursk Magnetic Anomaly

Lambda anomaly

Lambda type anomaly

Lanthanum anomalies

Light atom anomaly

Liquid helium, anomaly

Low-temperature anomalies

Magnetic anomalies

May-Hegglin anomaly

Mechanisms and anomalies

Metallopolymeric chain anomalies

Meteorites isotopic anomalies

Method development anomalies during

Modeling effect of anomalies

Molecular clouds isotopic anomalies

Mullerian anomalies

Nitroalkane anomaly

Nitrogen-Induced Anomalies

Nuclear anomalies

Nucleosynthetic isotope anomalies

Other anomalies

Particle-motion anomalies

Pelger-Huet anomaly

Pelvic anomaly

Pelvis anomalies

Periodic Anomalies of the Nonmetals and Posttransition Metals

Periodic anomalies

Periodic table group anomalies

Phonon anomalies

Phonon elastic) anomalies

Plasticizer Anomalies and Antiplasticization

Plasticizers anomalies

Porosity anomaly

Portal anomalies

Presolar grains isotope anomalies

Pulmonary anomalies

Rare earth element europium anomaly

Reflectance anomalies

Resistivity anomaly

Rotation, anomaly

Rotational intensity anomalies

Schottky anomaly

Schottky curve anomaly

Skeletal anomalies

Solar System isotopic anomalies

Solar nebula isotope anomalies

Specific heat Schottky anomaly

Statistics and Anomalies

Stoichiometric anomaly

Stress anomaly

Stress time anomaly

Strips Market Anomalies

Structural anomalies

Structural defects/anomalies

Subband intensity anomalies

Supercooling anomalies

Surface geochemical anomalies in northern Chile

Temperature anomalies

Temperature anomalies, prediction

Text anomalies

The Anomaly

The Anomaly of Beryllium

The Anomaly of Lithium

Theoretical interpretation anomalies

Thermal anomalies

Thermal anomalies hysteresis

Titanium isotopic anomalies

Topological Constraints, Rigidity Transitions, and Anomalies in Molecular Networks

Treatment of Anomalies

Triangle anomaly

True anomaly

Urinary Congenital anomalies

Urogenital anomalies

Uterine anomaly

Vagina anomaly

Vascular anomalies

Vegetation anomaly

Viscoelastic mechanisms and anomalies

Viscosity critical anomaly

Voltage anomalies

Water density anomaly

Waters anomalies

Wide bladder neck anomaly

Widom line anomalies

Winter anomaly

Wood’s anomaly

Xenon isotope anomalies

Young anomaly

Zero-bias anomaly

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