FORMULATION AND EVALUATAION OF COLON TARGETED MATRIX TABLET OF NAPROXEN

Objectives: The objective of the present study is to formulate the Colon targeted delivery containing Naproxen for chronopharmaceutical drug delivery system (ChrDDS) for treatment of rheumatoid arthritis, which are influenced by circadian rhythm. Chronopharmaceutical drug delivery system is capable of delivering drug when and where drug required most. Naproxen would remain in the GIT Fluid, intestinal fluid and it will liberate only in colonic fluid and gives better absorption. Methods: The matrix core tablets of Naproxen were prepared by direct compression method by using Crosspovidone as superdisintegrant. From those optimesd batch core tablet is further going for coating. Coating was carried out by using natural gums like Xanthan gum, Guar gum, Chitosan and Pectin alone and in combination. Results: From the experimental work Crosspovidone shows good drug release. Coating done by combination of Xanthan Gum and Chitosan shows better drug release (98.24%) in sustained release manner than other natural gums like Guar gum and pectin. Conclusion: From the results obtained, it was concluded that the programmable Chronopharmaceutical drug release has been achieved from Crosspovidone containing core tablet compressed coated by combination of Xanthan gum and Chitosan over a 10 hrs period, consistent with the demands of chronotherapeutic drug delivery for rheumatoid arthritis

Application and Analysis of Machine Learning Algorithms on Pima and Early Diabetes Datasets for Diabetes Prediction

Diabetes is a chronic condition that strike how your body burns food for energy. Much of the food you consume is converted by your body into sugar (glucose), which is then released into your bloodstream. Your pancreas releases insulin when your blood sugar levels rise. Over the years, several scholars have sought to create reliable diabetes prediction models. Due to a lack of adequate data sets and prediction techniques, this discipline still faces many unsolved research issues, which forces researchers to apply big data analytics and ML-based methodology. Four distinct machine learning algorithms are used in the study to analyze healthcare prediction analytics and solve the issues. In this investigation, the Pima and Early detection datasets were employed. We applied the Decision Tree, MLP, Naive Bayes, and Random Forest algorithms to these datasets and evaluated the accuracy and F-Measure. The goal of this research is to develop a system that could more precisely predict a patient's risk of developing diabetes

Cuticular Biochemistry: Lambda-Cyhalothrin Induced Alterations in Mutant Drosophila Melanogaster

Derivatives of natural pyrethrum, synthetic pyrethroids, are well-established neurotoxins. However, they do interfere with the functioning of metabolic processes; the most important of these is chitin metabolism, a key process in the development of insects. Type II synthetic pyrethroid, lambda-cyhalothrin, when orally fed to Drosophila melanogaster revealed its efficacy in chitin synthesis modulation. Total proteins, glucosamine, N-acetylglucosamine, chitinase activity and chitin content exhibit significant changes in the final developmental stage, the adults. A reduction in chitin synthesis is suggestive of interference in polymerization process which is a must for cuticle formation. Involvement of lambda-cyhalothrin in chitin synthesis has been sought to be an additional mode of action, other than its neurotoxic nature

Cellular Automata with Synthetic Image A Secure Image Communication with Transform Domain

    Image encryption has attained a great attention due to the necessity to safeguard confidential images. Digital documents, site images, battlefield photographs, etc. need a secure approach for sharing in an open channel. Hardware – software co-design is a better option for exploiting unique features to cipher the confidential images. Cellular automata (CA) and synthetic image influenced transform domain approach for image encryption is proposed in this paper. The digital image is initially divided into four subsections by applying integer wavelet transform. Confusion is accomplished on low – low section of the transformed image using CA rules 90 and 150. The first level of diffusion with consecutive XORing operation of image pixels is initiated by CA rule 42. A synthetic random key image is developed by extracting true random bits generated by Cyclone V field programmable gate array 5CSEMA5F31C6. This random image plays an important role in second level of diffusion. The proposed confusion and two level diffusion assisted image encryption approach has been validated through the entropy, correlation, histogram, number of pixels change rate, unified average change intensity, contrast and encryption quality analyses

Andreev Scattering and the Kondo Effect

We examine the properties of an infinite-$U$ Anderson impurity coupled to both normal and superconducting metals. Both the cases of a quantum dot and a quantum point contact containing an impurity are considered; for the latter, we study both one and two-channel impurities. Using a generalization of the noncrossing approximation which incorporates multiple Andreev reflection, we compute the impurity spectral function and the linear-response conductance of these devices. We find generically that the Kondo resonance develops structure at energies corresponding to the superconducting gap, and that the magnitude of the resonance at the Fermi energy is altered. This leads to observable changes in the zero-bias conductance as compared to the case with no superconductivity.Comment: 8 pages, 7 figures; expanded version to appear in PR

Ballistic versus diffusive magnetoresistance of a magnetic point contact

The quasiclassical theory of a nanosize point contacts (PC) between two ferromagnets is developed. The maximum available magnetoresistance values in PC are calculated for ballistic versus diffusive transport through the area of a contact. In the ballistic regime the magnetoresistance in excess of few hundreds percents is obtained for the iron-group ferromagnets. The necessary conditions for realization of so large magnetoresistance in PC, and the experimental results by Garcia et al are discussedComment: 4 pages, TEX, 1 Figur

Thermal decomposition pattern and particle size estimation of iron minerals associated with the Cretaceous-Tertiary boundary at Gubbio

Mossbauer studies of the samples from the Cretaceous-Tertiary (K-T) boundary layer at Gubbio, Italy show that iron appears mainly in two phases, magnetically ordered hematite and a paramagnetic silicate phase. The average particle size of hematite is estimated to be in the range of 16 to 27 nm from transmission electron micrographs and lack of a Morin transition. The hyperfine magnetic field at the iron nucleus is observed to be somewhat less than that of bulk hematite, which may be explained by collective magnetic excitation. Stepwise heating up to 1000 ° C shows a decomposition pattern of the paramagnetic phase, which suggests it to be a tri-octahedral layer silicate. The iron-bearing phases found in the bulk sedimentary K-T boundary material are different from those found in the spherules separated from this material indicating that the redox conditions changed rapidly after the impact, becoming more oxidizing during the period these bulk phases were formed

Spin-Imbalance and Magnetoresistance in Ferromagnet/Superconductor/Ferromagnet Double Tunnel Junctions

We theoretically study the spin-dependent transport in a ferromagnet/super- conductor/ferromagnet double tunnel junction. The tunneling current in the antiferromagnetic alignment of the magnetizations gives rise to a spin imbalance in the superconductor. The resulting nonequilibrium spin density strongly suppresses the superconductivity with increase of bias voltage and destroys it at a critical voltage Vc. The results provide a new method not only for measuring the spin polarization of ferromagnets but also for controlling superconductivity and tunnel magnetoresistance (TMR) by applying the bias voltage.Comment: 4pages, to be published in Phys. Rev. Let

A high pressure XRD setup at ADXRD beamline (BL-12) on Indus-2

A high pressure XRD measurement setup in the angle dispersive geometry has been setup in the Angle Dispersive X-ray diffraction beamline (BL-12) in Indus-2 synchrotron facility. The X-ray beam is collimated inside the Diamond Anvil Cell (DAC) using a pair of cross-slit collimators and 100 micron orifice in a 400 micron thick Ta sheet. With the use of an adaptive optics to ensure a converging beam at the sample position, the need of an X-ray beam collimator is eliminated making the alignment of the DAC quite easy. The alignment of the DAC with respect to the incident X-ray beam is made by placing it on a computer controlled sample mounting and alignment stage developed specifically for this setup. Interactive software has been developed to make the alignment of the X-ray through the DAC very easy and accurate. NIST standard LaB6 powder was used for test runs, and a few fine pieces of gold served as pressure calibrator. The data was recorded on a MAR345 Image plate detector