Development and Validation of Stability Indicating Reverse Phase High Performance Liquid Chromatographic Method for estimation of Donepezil HCl from bulk drug

Stability of Donepezil Hydrochloride(DONE) was investigated using stability indicating Reverse phase high performance liquid chromatography (RP-HPLC) utilizing C-18 column and mobile phase containing Acetonitrile:Water (pH 3.5)  in ratio of 40:60 at flow rate of 1 ml min-1. Peaks of donepezil and degradation products were well resolved at retention times < 7 min. Stability was performed in 0.1N hydrochloric acid, 0.1N sodium hydroxide, 3 % hydrogen peroxide, neutral, photolytic and dry heat conditions. Fast hydrolysis was seen in alkaline condition as compared to oxidative and neutral conditions. Methods was validated with respect to linearity, precision, accuracy, specificity and robustness LOQ and LOD. It was also found to be stability indicating, and therefore suitable for the routine analysis of Donepezil hydrochloride in the pharmaceutical formulation

Study of Detached (Fresh) Leaf and Dried Leaf with Image Processing

Agriculture is the keystone of human being provisions on this world. Now with rising inhabitants we need the efficiency of the agriculture to be augmented a lot to meet the demands. In ancient days they used natural methods to boost the yield, such as using the animal dung as manure in the fields. That resulted increase in the productivity sufficient to meet the requirements of the population. Although later people started thinking of earning more profits by getting more result. So, there came a revolution called “Green Revolution”. So, in this paper we have carried out some methods to measure the plant growth by the means of having area of a leaf. The study gives aspect of comparing the detached leaf with the dried leaf and it will be helpful to researcher to evaluate the dryness and also it will be helpful for the analysis at the time of biodegradation of the leaves and for the generation of organic manures. In this paper we implemented image processing using IJ (Image J 1.48V – Java 1.6.0_20(32- bit)) to measure various image processing related functions. And images of plants we took from D. K. Parmar’s field. DOI: 10.17762/ijritcc2321-8169.15011

Investigation of mass discharge rate and segregation from hopper by discrete element method

Hoppers of different shape and angle are widely used in different industries particularly in handling of solids as storage units and in unit operations, e.g. mixing, tableting, etc. It is a challenge to choose a right hopper to achieve desired flow and insignificant segregation due to difference in material properties. General approach for the selection of optimum hopper for a given unit operation is based on the trial-and-error experimental approach. To address this optimum hopper selection, combined experimental and numerical approach is presented in this study. The objective of this study is to analyze the effect of mixture composition and hopper angle on the flow rate and segregation behavior. The numerical simulation of granular flow out of various conical hoppers was also performed using the discrete element method (DEM). The materials considered include different particle size glass bead particles in different proportions by mass. The experimental study is done to validate the DEM results, particularly, mass flow rate. The results analyzed include temporal development of mass fraction of a given particle size during discharge. In addition, the mass flow rate is also computed. The results indicate that fines percentage in the mixture, ratio of smallest particle size to largest in the mixture, and hopper angle plays significant role in determining the segregation and mass flow rate. The flow pattern found to be influenced by the hopper angle and mean particle size of mixture. The results of discharge rate from DEM are also compared with existing empirical correlations and finite element method based elastoplastic model. The DEM prediction shows a good agreement with the existing correlations for a wide range of hopper angles, and with the experimental data

A comparative study of vaginal misoprostol versus oral misoprostol for induction of labour

Background: Induction of labour defined as artificial initiation of uterine contractions before the onset of spontaneous labour, after the period of viability, by any methods. The successful outcome depends on the Bishop Score, maternal age and parity. Authors compared the most preferred two routes; vaginal and oral for induction and outcome, adverse events and side effects were noted.Methods: This was a prospective comparative study carried out at SVPIMSR, Ahmedabad, from January 2019 to June 2019, Gujarat, 100 patients who required induction were randomly divided in two groups- Group A received 25µg oral misoprostol, Group B - received 25µg vaginal misoprostol repeated 4 hourly up to maximum five doses in both groups. The induction to delivery interval, mode of delivery, maternal and neonatal outcome and complications were observed.Results: The mean induction to delivery interval was less in vaginal group than oral (18.7 hours in vaginal versus 22.4 hours in oral). Vaginal delivery and caesarean section rates were comparable in both groups. 60% patients in Group A required more than two doses as compared to 36% in Group B. No major complications or adverse events were observed.Conclusions: Both oral misoprostol in a dose of 25μg and vaginal misoprostol 25μg every four hours, to a maximum of five doses, have safety and efficacy for induction. With The vaginal route, delivery occurs in less time and few doses required as compared to oral

Single-shot quantum memory advantage in the simulation of stochastic processes

Stochastic processes underlie a vast range of natural and social phenomena. Some processes such as atomic decay feature intrinsic randomness, whereas other complex processes, e.g. traffic congestion, are effectively probabilistic because we cannot track all relevant variables. To simulate a stochastic system's future behaviour, information about its past must be stored and thus memory is a key resource. Quantum information processing promises a memory advantage for stochastic simulation that has been validated in recent proof-of-concept experiments. Yet, in all past works, the memory saving would only become accessible in the limit of a large number of parallel simulations, because the memory registers of individual quantum simulators had the same dimensionality as their classical counterparts. Here, we report the first experimental demonstration that a quantum stochastic simulator can encode the relevant information in fewer dimensions than any classical simulator, thereby achieving a quantum memory advantage even for an individual simulator. Our photonic experiment thus establishes the potential of a new, practical resource saving in the simulation of complex systems

A study of gestational diabetes mellitus and fetal outcome in a tertiary care center

Background: Modern desk-bound lifestyle and unhealthy dietary changes have brought a rise in the prevalence of obesity and gestational diabetes mellitus (GDM). It is associated with severe hazards to the mother and the baby. It is mandatory that early diagnosis ensues and timely and congruous management is undertaken.Methods: In this observational study, 1250 women were included. A standardized questionnaire was formed and their details were noted. Tests for glucose levels, complete blood picture, urine examination were performed. An oral glucose tolerance test was performed on all the patients. Neonatal outcomes in terms of birth weight and the presence of complications were noted.Results: A total 201 (16.1%) of all women were having gestational diabetes mellitus (GDM). Most mothers were in the 25-30 age group. The majority of the women had a BMI between 26-30. 21.9% of babies were having weight >3.5 kgs. 11.4% of babies were <2.5 kgs. Out of 201 neonates, 90 babies were having complications. Major complications in neonates were macrosomia and respiratory distress. Therefore, early diagnosis, glycemic control, and timely and congruous management are advantageous to both mother and baby.Conclusions: GDM complicating the pregnancy results in a higher prevalence of complications in the mother and the neonate. Therefore, appropriate control of the sugar level in mothers is necessary and it decreases the morbidity and mortality rates in the babies as well as the mothers.

Photon emission correlation spectroscopy as an analytical tool for quantum defects

Photon emission correlation spectroscopy has a long history in the study of atoms, molecules, and, more recently, solid-state quantum defects. In solid-state systems, its most common use is as an indicator of single-photon emission, a key property for quantum technology. However, photon correlation data can provide a wealth of information about quantum emitters beyond their single-photon purity$\,-\,$information that can reveal details about an emitter's electronic structure and optical dynamics that are hidden by other spectroscopy techniques. We present a standardized framework for using photon emission correlation spectroscopy to study quantum emitters, including discussion of theory, data acquisition, analysis, and interpretation. We highlight nuances and best practices regarding the commonly-used $g^{(2)}(\tau=0)<0.5$ test for single-photon emission. Finally, we illustrate how this experimental technique can be paired with optical dynamics simulations to formulate an electronic model for unknown quantum emitters, enabling the design of quantum control protocols and assessment of their suitability for quantum information science applications.Comment: 20 pages, 7 figures. Updates in version 2 include an expanded section VI and the addition of two figures and an appendi

Laminin–sulfatide binding initiates basement membrane assembly and enables receptor signaling in Schwann cells and fibroblasts

Endoneurial laminins (Lms), β1-integrins, and dystroglycan (DG) are important for Schwann cell (SC) ensheathment and myelination of axons. We now show that SC expression of galactosyl-sulfatide, a Lm-binding glycolipid, precedes that of Lms in developing nerves. This glycolipid anchors Lm-1 and -2 to SC surfaces by binding to their LG domains and enables basement membrane (BM) assembly. Revealingly, non–BM-forming fibroblasts become competent for BM assembly when sulfatides are intercalated into their cell surfaces. Assembly is characterized by coalescence of sulfatide, DG, and c-Src into a Lm-associated complex; by DG-dependent recruitment of utrophin and Src activation; and by integrin-dependent focal adhesion kinase phosphorylation. Collectively, our findings suggest that sulfated glycolipids are key Lm anchors that determine which cell surfaces can assemble Lms to initiate BM assembly and DG- and integrin-mediated signaling

Suzaku observation of IGR J16318-4848

We report on the first Suzaku observation of IGR J16318-4848, the most extreme example of a new group of highly absorbed X-ray binaries that have recently been discovered by the International Gamma-Ray Astrophysics Laboratory INTEGRAL. The Suzaku observation was carried out between 2006 August 14 and 17, with a net exposure time of 97 ks. The average X-ray spectrum of the source can be well described with a continuum model typical for neutron stars i.e., a strongly absorbed power law continuum with a photon index of 0.676(42) and an exponential cutoff at 20.5(6) keV. The absorbing column is 1.95(3)x10e24 cm-2. Consistent with earlier work, strong fluorescent emission lines of Fe Kalpha, Fe Kbeta, and Ni Kalpha are observed. Despite the large absorbing column, no Compton shoulder is seen in the lines, arguing for a non-spherical and inhomogeneous absorber. Seen at an average 5-60 keV absorbed flux of 3.4x10e-10 erg cm-2 s-1, the source exhibits significant variability on timescales of hours.Comment: 5 pages, 5 figures, 1 table. Accepted for publication in A&