Systemic Therapy in Endometrial Cancer: Recent Advances.

Endometrial cancer is a chemosensitive disease. Studies have established a clear benefit of chemotherapy in advanced stages and trials are ongoing to define its role in early stages as well. As more molecular pathways are being elucidated there is increasing role for targeted agents and future looks quite promising. We did an extensive search both online and offline for all the relevant articles including chemotherapy and targeted therapy for endometrial cancer

NANO FORMULATION ANALYSIS: ANALYTICAL METHOD DEVELOPMENT OF ISONIAZID AND SIMULTANEOUS ESTIMATION OF ANTI-TUBERCULAR DRUGS ISONIAZID AND RIFAMPICIN BY RP-HPLC

Objective: The objective of the study was to develop and validate a simple and reproducible reverse phase high pressure liquid chromatography (RPHPLC) method for hydrophilic drug isoniazid (INH) to apply for the analysis of the INH in nanoparticle drug formulations. Furthermore, to estimate simultaneously rifampicin (RIF) and INH in combined form.Methods: Isocratic elution with 10 minutes runtime on a C-18 Luna, 5 μ, 100Ã…, 150 mm column, methanol, and water as mobile phase with detection wavelength at 268 nm was used. INH nanoformulations were prepared by double emulsion solvent evaporation technique. Quantitative analysis of encapsulated drug was estimated via developed RP-HPLC method. Simultaneous estimation for the two drugs was carried out by gradient elution. All chromatographic separation and estimations were obtained on Shimadzu HPLC system.Results: INH eluted with a short retention time (RT) of 4.06 minutes. Method showed good linearity in the range of concentrations 0.01-100 μg/ml. The limit of detection (LOD) and quantification (LOQ) for INH was 0.03 and 0.12 μg/mL, respectively, and developed method has been successfully applied for the analysis of drugs in nanoparticle formulations. Simultaneous estimation of antitubercular drugs INH and RIF showed two separate peaks within specified runtime.Conclusion: Developed method showed good resolved peaks. Since the RT is short, in a shorter duration more samples could be completed and developed method will be easy for analyzing greater number of samples. Analysis of nanoformulation results have shown that this method is simple, reliable, reproducible, hence can be applied for drug delivery analysis.Â

Cluster Dependent Classifiers for Online Signature Verification

In this paper, the applicability of notion of cluster dependent classifier for online signature verification is investigated. For every writer, by the use of a number of training samples, a representative is selected based on minimum average distance criteria (centroid) across all the samples of that writer. Later k-means clustering algorithm is employed to cluster the writers based on the chosen representatives. To select a suitable classifier for a writer, the equal error rate (EER) is estimated using each of the classifier for every writer in a cluster. The classifier which gives the lowest EER for a writer is selected to be the suitable classifier for that writer. Once the classifier for each writer in a cluster is decided, the classifier which has been selected for a maximum number of writers in that cluster is decided to be the classifier for all writers of that cluster. During verification, the authenticity of the query signature is decided using the same classifier which has been selected for the cluster to which the claimed writer belongs. In comparison with the existing works on online signature verification, which use a common classifier for all writers during verification, our work is based on the usage of a classifier which is cluster dependent. On the other hand our intuition is to recommend to use a same classifier for all and only those writers who have some common characteristics and to use different classifiers for writers of different characteristics. To demonstrate the efficacy of our model, extensive experiments are carried out on the MCYT online signature dataset (DB1) consisting signatures of 100 individuals. The outcome of the experiments being indicative of increased performance with the adaption of cluster dependent classifier seems to open up a new avenue for further investigation on a reasonably large dataset

Planning Instrumentation Monitoring in Dams

This paper outlines the seismic instrumentation being adopted for river valley projects in India, More than 60% of Indian sub-continent lies in an active seismic belt. Of this the middle and lower Himalayas constitute a major area wherein lies a huge untapped hydro-power potential, Being primarily constituted of younger rock formations, frequented by faults, thursts and shear zones and lying in a high seismic risk zone, observations through instruments play a significant role in perspective planning of projects in this area. Setting up of seismological observatories in advance of construction of dam projects, forms a part of investigative planning to assess the seismic status of the area. The observations are continued after construction to monitor any changes in seismicity due to reservoir impounding. Present approach is to also provide instrumentation and continued observation to a possible prediction of earthquake. A typical case of instrumentation for a dam on active fault is also cited