Immunoglobulin level in the sera of 62 patients with intracranial space occupying lesions was assayed using the radial immunodiffusion method. Serum IgM levels showed a highly significant increase in ...all types of brain tumour when compared to controls. Serum IgG levels were also increased in benign as well as malignant cases. Serum IgA levels were high only in benign cases. Hence, increased serum Ig levels may be of prognostic value in these cases.
The levels of circulating immune complexes (CIC) were assayed in the sera of 109 patients with intracranial space occupying lesions. The CIC levels were significantly increased in all the brain ...tumours. After treatment, the CIC levels were still significantly increased when compared to the controls but showed no change when compared to their respective pre-operative values. Further, no change was observed in the CIC levels between the malignant and benign tumour case. Moreover, in brain tumours, 90% of the CIC precipitate consisted of IgG. However, the CIC levels fail to prognosticate the process of the disease in these patients.
Adenosine deaminase (ADA) activity in serum was estimated in 86 patients with intracranial tumours and 40 healthy volunteers. Although high ADA concentrations in biological fluids and tumour tissues ...were observed in several neoplastic conditions, there was no significant difference in the ADA in sera of brain tumour patients when compared to the control values. Therefore, cell-mediated immunity probably does not play a significant role in brain tumours.
In covert communication, Information hiding is rapidly gaining momentum. There are many sophisticated techniques being developed in steganography. There is a need of universal method to detect hidden ...image. We have proposed a Universal method to detect hidden message using Histogram, Discrete Fourier Transform and SVM (UDHDS). When compared to cover image stego image has irregular statistical characteristics. one class SVM is trained by these statistical features which are generated Using Histogram and DFT to discriminate the cover and stego image. The number of statistical features is less in UDHDS Algorithm when compared to the existing algorithm and found to be more efficient.
A recurrent spatio-temporal neuron: advantage of potential build-up Clouse, R.L.; Jun Liu; Waldron, M.B.
Proceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA,
1999, Letnik:
1
Conference Proceeding, Journal Article
The dynamics of a recurrent Spatio Temporal Neuron (rSEN) is studied. The authors allow rSTEN a "moment of choice" whose length resides in part in the nature of its external environment by ...introducing two distinguishing parameters, a time varying threshold and a soma potential build up (R.L. Clouse and M.B. Waldron, 1998). The authors find a critical value of the relative refractory period, embedded in the threshold function, that could serve as a bifurcation parameter for the neuron so that the network can transition from order to chaos.
Neuronal adaptation by varying transmission delay on recurrent excitation Liu, J.; Clouse, R.L.; Waldron, M.B.
Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N,
1999, Letnik:
1
Conference Proceeding
A neuronal model with recurrent excitation (positive feedback of its own output) and transmission delay is presented. The neuron has two additional biologically plausible attributes: a time varying ...threshold and a decaying soma potential. The authors study the effect of the feedback delay in such a neuronal model. The simulation results show that the feedback delay contributes to the neuronal adaptation in making new associations or breaking previous ones.
