Parts verification for multi-level-dependent demand manufacturing systems: a recognition and classification structure

This research has developed and implemented a part recognition and classification structure to execute parts verification in a multi-level-dependent demand manufacturing system. The part-recognition algorithm enables the parent and child relationship between parts to be recognised in a finite-capacitated manufacturing system. This algorithm was developed using the SIMAN simulation language and implemented in a multi-level-dependent demand manufacturing simulation model. The part-classification structure enables the modelling of a multi-level-dependent demand manufacturing system between parts to be carried out effectively. The part-classification structure was programmed using Visual Basic Application (VBA) and was integrated into the work-to-list generated from a simulated materials requirements planning (MRP) model. This part-classification structure was then implemented in the multi-level-dependent demand manufacturing simulation model. Two stages of implementation, namely, parameterisation and execution, of the part recognition and classification structure were carried out. A real case study was used and five detailed steps of execution were processed. Simulation experiments and MRP were run to verify and validate the part recognition and classification structure. The results led to the conclusion that implementation of the recognition and classification structure has effectively verified the correct parts and sub-assemblies used for the correct product and order. No parts nor sub-assembly shortages were found, and the quantity required was produced. The scheduled release for some orders was delayed due to overload of the required resources. When the loading is normal, all scheduled release timing is adhered to. The recognition and classification structure has a robust design; hence, it can be easily adapted to new system parameters to study different or more complex cases.     

Chimeric constructs between human and rat equilibrative nucleoside transporters (hENT1 and rENT1) reveal hENT1 structural domains interacting with coronary vasoactive drugs

We have recently isolated cDNAs from human placenta and rat jejunum encoding the prototypic human and rat equilibrative nitrobenzylthioinosine (NBMPR)-sensitive nucleoside transporters hENT1 and rENT1. The two proteins (456 and 457 residues, Mr 50,000) are 78% identical in amino acid sequence and contain 11 potential transmembrane segments (TMs) with a large putative extracellular loop between TMs 1 and 2 and a large cytoplasmic loop between TMs 6 and 7. When expressed in Xenopus oocytes, recombinant hENT1 and rENT1 transport both purine and pyrimidine nucleosides, including adenosine, and are inhibited by nanomolar concentrations of NBMPR. hENT1 is also potently inhibited by coronary vasodilator drugs (dipyridamole, dilazep, and draflazine), whereas rENT1 is insensitive to inhibition by these compounds (dipyridamole IC50 values 190 nM (hENT1) and >/=10 microM (rENT1) at 10 microM uridine). In the present study, we have generated reciprocal chimeras between hENT1 and rENT1, using splice sites at residues 99 (end of TM 2) and 231 (end of TM 6), to identify structural domains of hENT1 responsible for transport inhibition by vasoactive compounds. Transplanting the amino-terminal half of hENT1 into rENT1 converted rENT1 into a dipyridamole/dilazep-sensitive transporter, whereas the amino-terminal half of rENT1 rendered hENT1 dipyridamole/dilazep-insensitive. Domain swaps within the amino-terminal halves of hENT1 and rENT1 identified residues 100-231 (incorporating TMs 3-6) of hENT1 as the major site of vasodilator interaction. Since these drugs function as competitive inhibitors of nucleoside transport and NBMPR binding, TMs 3-6 are likely to form part of the substrate-binding site.     

Both hypothyroidism and hyperthyroidism enhance low density lipoprotein oxidation

Hypothyroidism is frequently associated with hypercholesterolemia and an increased risk for atherosclerosis, whereas hyperthyroidism is known to precipitate angina or myocardial infarction in patients with underlying coronary heart disease. We have shown previously that L-T4 functions as an antioxidant in vitro and inhibits low density lipoprotein (LDL) oxidation in a dose-dependent fashion. The present study was designed to evaluate the changes in LDL oxidation in subjects with hypothyroidism and hyperthyroidism. Fasting blood samples for LDL oxidation analyses, lipoprotein determinations, and thyroid function tests were collected at baseline and after the patients were rendered euthyroid. The lag phase (mean +/- SEM hours) of the Cu+2-catalyzed LDL oxidation in the hypothyroid state and the subsequent euthyroid states were 4 +/- 0.0.65 and 14 +/- 0.68 h, respectively (P < 0.05). The lag phase during the hyperthyroid phase was 6 +/- 0.55 h, and that during the euthyroid phase was 12 +/- 0.66 h (P < 0.05). The total and LDL cholesterol levels were higher in hypothyroidism than in euthyroidism and were lower in hyperthyroidism than in the euthyroid state. We conclude that LDL has more susceptibility to oxidation in both the hypothyroid and hyperthyroid states. Thus, the enhanced LDL oxidation may play a role in the cardiac disease process in both hypothyroidism and hyperthyroidism.     

Formation of part families to design cells with alternative routing considerations

A heuristic algorithm for the formation of part families to design cells with consideration to alternative routing of parts is presented. Most of the existing algorithms in cellular manufacturing systems utilize fixed routings for parts. Consideration of alternative routings in the design of cells is important for improving operational aspects of cellular manufacturing systems. An example problem solved is included in the paper.     

Fixed-point error analysis of discrete Wigner-Ville distribution

The Wigner-Ville distribution (WVD) has been a powerful signal processing tool for time-frequency signal analysis. Consequently, many algorithms have been proposed in the literature for computing the WVD in real-time applications. However, Boashash (1987) has proposed and showed that the evaluation of the analytic signal using the time-domain approach, and involving the Hilbert transformer, is the most efficient algorithm for real-time applications. A fixed-point error analysis of this algorithm has been carried out. The theoretical noise-to-signal ratio (NSR) is derived and verified through simulation. The results indicate that for this algorithm, the NSR increases by 0.5 bit/stage, whereas for the other algorithms, it increases by 1 bit/stage     

Pressure transducer with Au-Ni thin-film strain gauges

The behavior of a pressure transducer with Au-Ni (89:11) film as strain gauges has been studied. The effects of postdeposition heat treatment on the resistance of the thin-film strain gauges and hence the output performance of the pressure transducer are discussed. The effect of a repeated number of pressure cycles carried out over a period of eight months has also been reported. The maximum nonlinearity and the hysteresis is improved from 0.92% FSO to 0.06% FSO after 1000 pressure cycles. The output behavior of the pressure transducer with temperature has also been studied