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Factors impacting fuzy and goal masticatory purpose within seniors: Importance of an internal approach.
Graphical relationship among the critical, independent variables was represented using the Contour plot and 3-D surface plot. Design space was identified by designing overlay plot using response surface design. RESULTS Excellent correlation was observed between actual and predicted values. Similarity Factor (F2) of reproducible trials was 78 and 79 and content uniformity was 100.9% and 100.4%. Average weight, hardness, thickness, diameter and friability were within acceptable limits. CONCLUSIONS QbD approach along with quality risk management tool provided an efficient and effective paradigm to build quality MRT of HCTZ. Copyright© Bentham Science Publishers; For any queries, please email at [email protected] The Brain is the most complex organ of human body with millions of connections and activations. The electromagnetic signals are generated inside the brain due to a mental or physical task performed. These signals excite a bunch of neurons within a particular lobe depending upon nature of task performed. To localize this activity, certain machine learning (ML) techniques in conjunction with a neuroimaging technique (M/EEG, fMRI, PET) are developed. Different ML techniques are provided in literature for brain source localization. Among them, the most common are minimum norm estimation (MNE), low resolution brain electromagnetic tomography (LORETA) and Bayesian framework based multiple sparse priors (MSP). AIMS In this research work, EEG is used as a neuroimaging technique. METHODS EEG data is synthetically generated at SNR=5dB. Afterwards, ML techniques are applied to estimate the active sources. Each dataset is run for multiple trials (>40). The performance is analyzed using free energy and localization error as performance indicators. Furthermore, MSP is applied with variant number of patches to observe the impact of patches on source localization. RESULTS It is observed that with increased number of patches, the sources are localized with more precision and accuracy as expressed in terms of free energy and localization error respectively. CONCLUSION The patches optimization within Bayesian Framework produces improved results in terms of free energy and localization error. Copyright© Bentham Science Publishers; For any queries, please email at [email protected] Seizure is the most common neurological disorders in children, where, 4-10% cases experience at least one seizure before the age of 16. find more The most frequent causes of seizures in children are fever, epilepsy, infection and brain damage. The aim of this study was to investigate the frequency of organic lesions in MRI of children with seizure unrelated to fever. MATERIALS AND METHODS This cross-sectional study included children presented with fever-unrelated seizures. The MRI was examined by a radiologist to identify abnormal findings in each patient. A researcher-made questionnaire including general information, history of head trauma, obstructed labor and the history of seizure were completed for the patients. RESULTS Of 287 children with fever-related seizure, 127 (45.7%) were male and 151 (54.3%) were female. History of seizure, history of obstructed labor, abnormal MRI, complete delay, use of antiepileptic drug and history of trauma were 22(9.9%), 1 (0.4%), 11(4%), 5(1.8%), 259(93.2%) and 12 (4.3%) respectively. Of 11 patients with abnormal MRI, 4 had MTS lesions, 2 had tumor lesions, 2 had scarring trauma, 1 had epidural abscess and 1 had meningitis. Frequency of organic lesions had no significant differences based on gender, use of anti-epileptic drug and traumatic history, but it had a significant relation with obstructed labor and the history of seizure. CONCLUSION The results showed that organic brain lesions in children with fever-unrelated seizure, which had a significant relation with the history of seizure and obstructed maternal labor. Copyright© Bentham Science Publishers; For any queries, please email at [email protected] The dural venous sinuses (DVS) in general are frequently asymmetrical and display far more anatomical variations than arterial systems. A comprehensive study of the anatomy and variants of the DVS can help surgeons in the preoperative evaluation and management as well as minimizing possible complications in the following treatment. METHODS The current review was designed to provide a general overview of the normal anatomy and notable variants of the cerebral venous system as surveyed from the available literatures. The pros and cons of different multimodal imaging methods for investigating DVS are also outlined. Finally, cases of variously pathological entities are illustrated from our clinical practice. CONCLUSION There are many anatomical variations and lesions involving the DVS. Radiological examination can provide essential information both on anatomical variation and morphological or functional change of the offending DVS in the most circumstances. Multimodal non-invasive venography protocols may become a feasible alternative to the classical digital subtraction angiography and would improve the diagnostic accuracy in the future studies. Copyright© Bentham Science Publishers; For any queries, please email at [email protected] new practical cyclocondensation synthesis for a series of 3, 8,10-trisubstituted[1,2,4]triazolo[4,3-c]pyrido[3,2-e] pyrimidine 4a-c, 5a-c, 8a-c and 9,11-diaryl-4-oxo-2,3,4-trihydro-1H-pyrido[2',3'4,5] pyrimido[6,1-c][1,2,4]triazine 9a-c from 2-amino-3-cyano-4.6-diarylpyridines passing through formation of 7-diaryl-4-hydrazinopyrido[2,3-d]pyrimidine 3a-c. Also polyheterocyclic compounds containing [1,2,4]triazolo 6a-c and [1,2,3,4]tetrazolo moieties 7a-c were also synthesized through the reactions of 3-hydrazino-8,10-diaryl[1,2,4]triazolo[4,3-c]pyrido[3,2-e]pyrimidine 5a-c with both formic acid and the formation of diazonuim salt respectively . Newly synthesized heterocycles structures were confirmed using elemental analysis, IR, 1H-NMR, 13C-NMR and mass spectral data. Five selected compounds 4c, 6c. 7c, 8c and 9c are optimized with DFT computational calculations. Molecular docking was performed to show in silico the possible ligand inhibitory effect on human Tankyrase I enzyme of code PDB 2RF5. Analysis of ligand-docked receptors shows that there are different types of interactions mainly H-bond and Van der Waals (VDW) interactions that have the greatest influence on the assumed stability of the complex ligand -amino acids of the receptor interacted.
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