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Observation process

In all observed processes, only a fraction of the heat extracted from a heat reservoir can be converted into work, with the remainder returned to a lower temperature reservoir. [Pg.57]

A disadvantage of the conventional control charts is that a small or gradual shift in the observed process parameter is only confirmed long after it has occurred, because the shift is swamped in statistical (analytical) noise. A simple way out is the Cusum chart (cumulated sum of residuals, see program CUSUM.exe), because changes in a parameter s average quickly show up, see Fig. 1.32. The... [Pg.85]

The oxidation and reduction of Ni(R2electrochemical studies as the reduction product of [Ni(Et2C fc)3]. It is, however, very unstable (94). [Pg.101]

Possibly the most easily observable process is the phosphorescence decay.<17) While at 77°K the decay is exponential, at 1.6°K the observed decay for compounds like pyrazine is nonexponential and is composed of three first-order decays. Thus one can determine the values of kx, ky, and kz from this decay. Typical values are shown in Table 6.2. [Pg.142]

Porphyrin complexes are particularly suitable cores to construct dendrimers and to investigate how the behavior of an electroactive species is modified when surrounded by dendritic branches. In particular, dendritic porphyrins can be regarded as models for electron-transfer proteins like cytochrome c [42, 43]. Electrochemical investigation on Zn-porphyrins bearing polyether-amide branches has shown that the first reduction and oxidation processes are affected by the electron-rich microenvironment created by the dendritic branches [42]. Furthermore, for the third generation compound all the observed processes become irreversible. [Pg.222]

When considering analytic description, asymptotically optimal estimates are of importance. Asymptotically optimal estimates assume infinite duration of the observation process for fjv —> oo. For these estimates an additional condition for amplitude of a leap is superimposed The amplitude is assumed to be equal to the difference between asymptotic and initial values of approximating function a = <2(0, xo) — <2(oc,Xq). The only moment of abrupt change of the function should be determined. In such an approach the required quantity may be obtained by the solution of a system of linear equations and represents a linear estimate of a parameter of the evolution of the process. [Pg.379]

To observe process of eq. (16.7), the energy associated with the two electrons, higher than for process of eq. (16.6), can be measured. [Pg.359]

Extended Luen-berger Observer Process model, (including process kinetics, but it is possible to estimate some kinetic parameters online), process inputs. Well known approach. It allows tuning the convergence rate by pole placement. Model hnearization Inputs knowledge Stability and convergence are only locally vahd. [6]... [Pg.125]

Kinesin and dynein are two microtubule-associated ATP-dependent motors responsible for intracellular motility. Gilbert et al made direct measurements of the dissociation kinetics of kinesin from microtubules (MTs), the release of orthophosphate and ADP, and the rebinding of this motor to MTs. They observed processivity in ATP hydrolysis amounting to 10 molecules ATP per site at low salt concentration and 1 molecule of ATP per site at a higher concentration of salt. After hydrolysis, the dissociation of kinesin from the MT is rate-limiting, and rebinding of kinesin-ADP to MTs is fast. The authors discuss how this behavior differs from that of skeletal myosin. [Pg.572]

Surface physics and chemistry play a major role as far as blood-material interactions are concerned. However, the observed processes depend as much on the local flow patterns of the blood near the material surface as on these surface characteristics. [Pg.384]

Deconvolution of spectra, such as infrared absorption spectra, provides researchers with a tool that they can use to carry out a particular experiment. It provides an extra measure of flexibility in the design of experiments and in the observation process. In dispersive infrared spectroscopic systems, Blass and Halsey (1981) have shown that effective resolution-acquisitiontime trade-offs may be made, owing to the fact that dispersive infrared spectroscopy is usually detector noise limited. Acquisition rates are therefore optical throughput dependent, which is equivalent to saying that acquisition rates are resolution dependent. Blass and Halsey (1981) show that, for a constant signal-to-noise ratio,... [Pg.156]

Applying pulse radiolysis to the formation of Cuni(GlyGlyHis) only two consecutive reactions are observed experimentally during its decomposition. A volume of activation of Ah = +14 cm3 mol-1 was measured for the first observable step, which is in accord with the decarboxylation process being the rate determining step in this mechanism. AV = + 8 cm3 mol-1 was obtained for the second observable process in agreement with expectations for the heterolytic. in... [Pg.302]

We define the 4-entity prior to the invocation of the 9/91 operator (observation) as the causal side of the observation process. The most significant concept embedded in the concept of causality would appear to be that an entity exists and acts during time. The most significant content of the concept of the effect is that it was caused by an entity existing in and acting in time, but it (the effect) itself does not exist in time. We define the 3-entity that is the output of observation (after the application of the 9/91 operator) as the effect side of the observation process. As is well known, all observation is 3-spatial, so an observed entity does not exist or act in time. We also speak of the intermediary as the entity—usually a mass that is itself an effect, or masstime, which is a causal entity—with which the causal entity interacts and to which the 9/91 operator is applied. [Pg.654]

Not only ionic evaporation has to be considered, but also excited state evaporation. Previous pump-probe experiments that conclude to the existence of ESPT show picosecond decays for one cluster size 1-4 and flat signals for larger ones [24]. For other authors, the decay is observed for the 1-3 complex [20]. Furthermore, the rate of the observed process is also typically the one of evaporation (of one ammonia molecule). In the non reactive Na(NH3)n system, evaporation rate has been measured and is also at the tens picoseconds order of magnitude[32]. It is clear that excited state evaporation must also be taken into account. [Pg.54]

Fig 2. The components forming a closed loop apparatus for control quantum phenomena. Using a new sample upon each cycle of the loop sidesteps the issue of the observation process disturbing the system in an unknown way. The key to success of such control experiments lies in the ability to traverse the loop under very high duty cycle to rapidly home in on the target physical objective. [Pg.82]

The chemically observable process is decay of 1, the excited triplet state of the dienone, to 4. In the Zimmerman mechanism a couple of chemical intermediates, 3, and its low lying triplet state, 2,f are introduced. The key electronic relaxation step is the reaction 1 2. Rationalization of... [Pg.384]


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See also in sourсe #XX -- [ Pg.59 ]




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Behaviour modification process observation

Chemical processes observed

Crystalline-State Photoreactions Direct Observation of Reaction Processes and Metastable Intermediates

Differential thermal analysis processes observed

Mass fragmentation processes, reactions observed

Observation process advantages

Observation process checklists

Observation process common configurations

Observation process employee involvement

Observation process example

Observation process implementation

Observation process importance

Observation process management modeling

Observation process management review

Observation process practices

Observation process starting

Observations of thermal processing in protoplanetary disks

Observing Chemical Processes

Poly observing crystallization process

Process Models Developed Using Other Observations

Process controls human observation

Safety observations Observation process

Self observations sampling process

Step 2 Creating the Safety Observation Process

Steps of the Observation Process

Trial Run the Observation Checklist and Process

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