Cavities detection

Vol. 129. Flame Chemiluminescence Analysis by Molecular Emission Cavity Detection. Edited by David Stiles, Anthony Calokerinos, and Alan Townshend... 

Electroanalytlcal Stripping Methods. By Khjena Z. Brainina and E. Neyman Air Monitoring by Spectroscopic Techniques. Edited by Markus W. Sigrist Information Theory in Analytical Chemistry. By Karel Eckschlager and Klaus Danzer Flame Chemiluminescence Analysis by Molecular Emission Cavity Detection. Edited by... 

Organophosphorus type, triethy lpho sphate, trimethylphosphate, dimethyl phosphonothioate Molecular emission cavity detection [128]... 

The conditio sine qua non for structure-based drug design is the identification and functional annotation of the relevant binding site(s) in a target protein. A number of methods, closely related to the characteristics of binding sites and the restraints imposed on the formation of functional structural units, are discussed in Section 4.2. The most commonly used methods can be classified into geometry-based methods for cavity detection, methods for identifying specific patterns, and evolutionary methods. 

Upper punch pull-up cam After compression, the upper punch enters into the upper-punch pull-up cam, which removes the upper punch from the die cavity. This cam provides an excellent location to measure the upper punch pull-up force that determines the tightness of the upper punches. Compared to the upper punch dwell cam, this location has the advantage of determining the punch tightness not only in the turret but also in the die cavity. Detection of... 

Vol. 129. Flame Chemiluminescence Analysis by Molecular Emission Cavity Detection. 

Kodera, Y., Nakanishi, H., Yamamura, Y., Shimizu, Y., Torii, A., Hirai, T., et al.. Prognostic value and clinical implications of disseminated cancer cells in the peritoneal cavity detected by reverse transcriptase-polymerase chain reaction and cytology. Int. J. Cancer 79, 429-433 (1998). 

Geophysical method Depth to bedrock Stratigraphy Lithology Fractured zones Fault displacements Dynamic elastic moduli Density Rippability Cavity detection Buried artefacts... 

Figure 3 Sa emission spectrum from carbon disulfide vapors introduced into a water-cooled cavity into which cooling water is supplied at (A) low and (B) high flow rate, showing the effect of the Salet phenomenon on the emission (C flame background emission). (Reproduced from Stiles DA, Calokerinos AC, and Townshend A (1994) Flame Chemiluminescence Analysis by Molecular Emission Cavity Detection. New York Wiley.)...

MRI findings are similar to those seen with ultrasound, hut cavity detection in the rudimentary horn can be facilitated by using heavily T2-weighted imaging sequences. Normal zonal anatomy is observed in a small uterus. 

The design method is based on the traditional calculation method of these elements with the ballast module. The slab rests on two different ballast modules whose position depends on the configuration of cavities detected during the terrain survey. Due to uncertainty about the position of karst areas, several calculation hypotheses are used about the distribution of these modules. This depends basically on the position of the rocky layer under the slab, the diameter of the cavities and the covering by competent clays. 

Quite unique feature of all agglomerates detected in Co powder deposit is the presence of deep cavities on their surfaces and the fem-like dendrites on their bottom for most of the cavities. This is illustrated in Fig. 2.27b for compact agglomerates and in Fig. 2.27d for ball-like agglomerates. The most interesting one is the cavity detected in the ball-like agglomerates. More detailed micrograph for such cavity is shown in Fig. 2.31. 

Fig. 2.31 SEM micrograph of the cavity detected on the ball-like agglomerate (Reprinted from [99] with the permission of Springer-Verlag.)...

The results presented here show that the PHEMA hydrogels prepared in the presence of water contain a porous network on a number of length scales and with varying structure. On the angstrom level, substantial free volume has been identified by both Xe NMR and positron lifetime annihilation spectroscopy. It is likely that the free volume cavities detected by these two techniques exists within relatively hydrophobic, i.e. non-hydrated domains. On the micron level and larger a network of water-filled pores was identified by H NMR relaxation time measurements. It is this porous network that is responsible for the transport properties of PHEMA confirmed in numerous previous studies. The results are consistent with previous NMR studies of bulk-polymerized PHEMA. 

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