7,501 research outputs found
Efficacy of pregabalin versus nortriptyline in the treatment of chronic low backache with radiculopathy: an open label observational study
Background: The efficacy and safety of Pregabalin and Nortriptyline have been proved individually in low backache with radicular pain. However, there are limited number of studies comparing the efficacy of Pregabalin and Nortriptyline in Chronic Low Backache (CLBA) with radicular pain. Hence the present study was designed to determine the efficacy as well as tolerability of Pregabalin in comparison with that of Nortriptyline for reduction of pain in CLBA. The present study was an open label prospective observational study.Methods: Patients with CLBA, 15-60 years of age without specific cause and significant neurological deficit were included in the study. Severity of pain was assessed by Visual Analogue Scale (VAS). Patients were followed up at 2 and 4 weeks and their VAS scores and side effects were noted.Results: Both Pregabalin and Nortriptyline were effective in reducing pain, from baseline to 2 weeks and up to 4 weeks of treatment in chronic low backache with radicular pain, but there was no statistically significant difference between the two treatment groups. The incidences of side effects were less in the Nortriptyline treatment group as compared to Pregabalin.Conclusions: From the results of the present study it can be concluded that both Pregabalin and Nortriptyline were equally effective in the treatment of chronic low backache with radicular pain, but the incidence of adverse effects were more with Pregabalin as compared to Nortriptyline
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Is the energy density a reliable parameter for materials synthesis by selective laser melting?
The effective fabrication of materials using selective laser melting depends on the process parameters. Here, we analyse the suitability of the energy density to represent the energy transferred to the powder bed, which is effectively used to melt the particles and to produce the bulk specimens. By properly varying laser power and speed in order to process the powder at constant energy density, we show that the equation currently used to calculate the energy density gives only an approximate estimation and that hatch parameters and material properties should be considered to correctly evaluate the energy density
Stock Market Analysis and Prediction Using ML
Seventy-Five percentage of Business pioneers state 'development' as the key wellspring of significant worth from investigation yet Just sixty percentage of these pioneers have prescient exam abilities. The solution to this is applying the correct arrangements of applications, which can work on huge bits of information. Machine Learning Calculations are major application which makes it possible. The place of this task is to break down through different expecting techniques to anticipate future stock benefits dependent on past data returns to build up a game plan of various stocks to know the varieties in the outcomes. We are doing this by applying machine learning strategy to determine stock value and provide the users with a better prediction and assist them with proper stock investments on web
Abundance and Occurrence of Phosphate Solubilizing Bacteria and Phosphatase in Sediment of Hooghly Estuary, North East Coast of Bay of Bengal, India
The abundance and occurrence of a special group of bacteria, capable of solubilizing or mobilizing insoluble phosphates were studied in estuarine environment, especially in sediments. The possible role of various factors of the sediments in maintaining the phosphate availability in the overlying water was described. The phosphatase activity was recorded in all samples irrespective of salinity variations. Total number of bacteria showed higher value in lower salinity. The total phosphate content in soil showed positive correlation with the phosphatase activity ( r = 0.890; P-Value = 0.000; n-=15). Clayey sediment contents more phosphate solubilizing bacteria and phosphatase than sandy sediment in a tropical estuarine region of River Hooghly
Oligonucleotides Incorporating Palladacyclic Nucleobase Surrogates
An oligonucleotide incorporating a palladacyclic nucleobase has been prepared by ligand-directed metalation of a phenylpyridine moiety. This oligonucleotide hybridized with natural counterparts placing any of the canonical nucleobases opposite to the palladacyclic residue. The palladated duplexes had B-type conformation and melting temperatures comparable to those of respective unmodified duplexes with a single mismatch. In the duplexes placing C, G or T (but not A) opposite to the palladacyclic residue, greatly increased absorptivity suggested formation of a Pd-II-mediated base pair. Absorptivity and ellipticity of these duplexes persisted even at the highest temperatures applicable in T-m and CD experiments (90 degrees C). Evidently the Pd-II-mediated base pairs do not dissociate under the experimental conditions
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