Design of a New Chemical Injection Pump System for Gas Hydrate Inhibition

In this study the main feature of chemical injection systems used in gas industry are detailed. The two main energy sources of these systems are air and electric power source. The general structure and main properties of these injection systems are discussed. Examples for a pneumatic commercial and a newly developed, electric system are compared

Diagnoses of additive faults of serial wounded motor using artificial intelligence methods

In this paper an artificial neural network based technique will be introduce, which is capable to separate the different types of faulty state of the analysed system and generate signs to alarm the user about the failures in the system. The method can detect, separate, and identify the faults in the system. Large datasets were developed to train the separator networks. To speed up the training process of separator network, active learning method was applied. To find the separator mathematical structure weakness, a complex test process was used where the size of the different faults was varied and the performance of the structure was examined. The examination has two parts: first the appearance and termination of the faults were tested; later the estimation of the fault size was checked. The separator technique needs mathematical models of the analysed system. In our case, the models were also based on feed forward neural networks

APOE epsilon status in Hungarian patients with primary progressive multiple sclerosis

PRINCIPLES: Apolipoprotein E (ApoE), an important glycoprotein in the transport, uptake and redistribution of cholesterol, is necessary in nerve tissue repair. The APOE gene (APOE) is involved in neurodegenerative diseases, the best-known association being that between the APOE epsilon4 allele and Alzheimer's disease. Multiple sclerosis (MS) is a chronic inflammatory neurological disease. The aim of this study was to assess (multicentre assessment) the possible influence of the APOE gene on the susceptibility of primary progressive MS (PPMS) in Hungary. METHODS: Polymerase chain reaction and restriction fragment length polymorphism were carried out on DNA isolated from 135 volunteers. RESULTS: The number of PPMS patients without the epsilon2 allele was found to be remarkably high, whilst the epsilon2 allele was overrepresented in the RRMS group. A markedly high frequency of the epsilon4 allele was found in the PPMS group and a very low frequency in the HC group. With regards to the clinical parameters, significant differences were observed between the RRMS and PPMS groups. Differences were also detected regarding the EDSS and MSSS scores when the patients were grouped by the presence or absence of the epsilon2 allele. All of the observed differences in the clinical parameters disappeared when the patients were further stratified by the type of MS. CONCLUSIONS: Our findings suggest that the presence of the epsilon2 and epsilon4 alleles may play a role in the development of the disease. However, if any type of the disease has already developed the alleles show no association with the clinical parameters

Tumour necrosis factor alpha gene (TNF-alpha)-376 polymorphism in Hungarian patients with primary progressive multiple sclerosis

Tumour necrosis factor alpha (TNF-alpha) is associated with clinical activity in relapsing-remitting multiple sclerosis (RRMS) and the development of progressive disease. Our aim was to investigate the TNF-alpha -376 polymorphism in primary progressive MS (PPMS) patients. Polymerase chain reaction and restriction fragment length polymorphism were carried out on 45 PPMS patients, 45 age and sex-matched RRMS patients and 45 healthy controls (HC). The GG genotype and the guanine allele (G) were detected significantly more often in the PPMS group as compared with the HC group (p=0.027; p=0.032). The G allele may be one of the factors responsible for progression in PPMS