Determination, Development and Validation of Method for Simultaneous AXITINIB Pharmaceutical Dosage form by a Reverse Phase HPLC

A simple and selective LC method is described for the determination of AXITINIB dosage forms. Chromatographic separation is observed on a c18 packing column using mobile phase with a mixture of TEA -Acetonitrile (50:50) with detected at 254nm. Linearity was observed in the range 15-45 µg /ml for AXITINIB (r2 =0.997) for drug estimated by the proposed methods was in good agreement with the label claim. The proposed method was validated. The accuracy of the methods was assessed by recovery studies at three different levels. The current study indicated the absence of interference of commonly encountered pharmaceutical additives. The method was precise to be indicated by the repeatability analysis, by showing %RSD > 2. All statistical data proved the validity of the methods and used for routine analysis of pharmaceutical dosage form

Automatically Generating Data Linkages Using a Domain-Independent Candidate Selection Approach

Abstract. One challenge for Linked Data is scalably establishing high-quality owl:sameAs links between instances (e.g., people, geographical locations, publications, etc.) in different data sources. Traditional ap-proaches to this entity coreference problem do not scale because they exhaustively compare every pair of instances. In this paper, we pro-pose a candidate selection algorithm for pruning the search space for entity coreference. We select candidate instance pairs by computing a character-level similarity on discriminating literal values that are chosen using domain-independent unsupervised learning. We index the instances on the chosen predicates ’ literal values to efficiently look up similar in-stances. We evaluate our approach on two RDF and three structured datasets. We show that the traditional metrics don’t always accurately reflect the relative benefits of candidate selection, and propose additional metrics. We show that our algorithm frequently outperforms alternatives and is able to process 1 million instances in under one hour on a single Sun Workstation. Furthermore, on the RDF datasets, we show that the entire entity coreference process scales well by applying our technique. Surprisingly, this high recall, low precision filtering mechanism frequently leads to higher F-scores in the overall system

Antioxidant activity of Peanut (Arachis Hypogaea L.) Skin Extract: Application in Soybean and Mustard Oil

Total phenolics of peanut skin obtained by different methods were estimated; the effect of different solvents on extractability of total phenolic compounds has also been evaluated. The effect of peanut skin extract, possessing highest phenolics and DPPH radical scavenging activity, was evaluated by schaal oven test in the soybean oil, while oxidative stability of mustard oil was evaluated by Rancimat method. Total phenolics were obtained highest (76.0 ± 2.12 to 101.7 ± 5.54 mg/g GAE dw) in the roasted samples, followed by the dry samples (54.7 ± 1.78 to 89.1 ± 3.78 mg/g GAE dw), and lowest (14.5 ± 0.95 to 21.6 ± 1.02 mg/g GAE dw) in the blanched samples; 80% methanol extraction provided better extractability of phenolic compounds than the aqueous and 80% ethanol extraction method. The peroxide value and induction period of different oils was also evaluated in the present study, which clearly showed that peanut skin extract offered significantly (P < 0.05) better or at least similar protection against oxidation in the oils; than the synthetic antioxidant (BHT). Thus, peanut skin may be a good source of natural antioxidants for stabilization of various vegetable oils, during harsh processing and unavoidable storage conditions

Reachability problems for PAMs

Piecewise affine maps (PAMs) are frequently used as a reference model to show the openness of the reachability questions in other systems. The reachability problem for one-dimentional PAM is still open even if we define it with only two intervals. As the main contribution of this paper we introduce new techniques for solving reachability problems based on p-adic norms and weights as well as showing decidability for two classes of maps. Then we show the connections between topological properties for PAM's orbits, reachability problems and representation of numbers in a rational base system. Finally we show a particular instance where the uniform distribution of the original orbit may not remain uniform or even dense after making regular shifts and taking a fractional part in that sequence.Comment: 16 page

Hack3D: Crowdsourcing the assessment of cybersecurity in digital manufacturing

This article summarizes lessons from the past three Hack3D events, including ways in which engineers can launch surprise attacks on digital manufacturing (DM) designs. A key outcome is a taxonomy-guided security benchmark for the DM community

Nonparametric identification of regulatory interactions from spatial and temporal gene expression data

<p>Abstract</p> <p>Background</p> <p>The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but current methods are limited in their ability to make correct predictions.</p> <p>Results</p> <p>Here we describe a novel approach which uses nonparametric statistics to generate ordinary differential equation (ODE) models from expression data. Compared to other dynamical methods, our approach requires minimal information about the mathematical structure of the ODE; it does not use qualitative descriptions of interactions within the network; and it employs new statistics to protect against over-fitting. It generates spatio-temporal maps of factor activity, highlighting the times and spatial locations at which different regulators might affect target gene expression levels. We identify an ODE model for <it>eve </it>mRNA pattern formation in the <it>Drosophila melanogaster </it>blastoderm and show that this reproduces the experimental patterns well. Compared to a non-dynamic, spatial-correlation model, our ODE gives 59% better agreement to the experimentally measured pattern. Our model suggests that protein factors frequently have the potential to behave as both an activator and inhibitor for the same <it>cis</it>-regulatory module depending on the factors' concentration, and implies different modes of activation and repression.</p> <p>Conclusions</p> <p>Our method provides an objective quantification of the regulatory potential of transcription factors in a network, is suitable for both low- and moderate-dimensional gene expression datasets, and includes improvements over existing dynamic and static models.</p

Demographic pattern, clinical profile and outcome of traumatic spinal cord injuries at a tertiary care hospital

Background: Traumatic spinal cord injury (SCI) is recognized as a serious public health problem resulting in significant morbidity, mortality and permanent disability. The present study is aimed to describe the epidemiological characteristics and outcome of patients with traumatic spinal cord injury in rural tertiary referral care center form South India. Material and methods: The present study was conducted at Narayana Medical College and Hospital, Nellore. All patients admitted and managed for traumatic spinal cord injury were retrieved and data collected in a pre-designed proforma. Patient characteristics, details of etiology, mechanism of injury, level of injury, extent of neurological deficits, details of investigations, details of management and immediate outcome were recorded. Results: A total 152 patients were included in the present study. The mean age was 38.45 years and majority the patients were young adult males. The mean hospital stay was 19.12 days. 71.7% percent patients were non-agriculture workers (mainly involved in construction work) and 28.3% patients were farmers. 61.2% of the patients sustained injuries due to fall from height and 34.2% patients sustained injuries due road traffic accidents. Cervical spine injuries were most common (44.1%), followed by thoraco-lumbar region (36.8%) and dorsal spinal region (19.1%). 9 patients expired in post-injury during hospital stay and all of them had complete cervical spinal cord injury. All patients received aggressive rehabilitation care. Conclusion: In accordance with the literature our results reflect that traumatic spinal cord injuries affect young population and can leave these persons with significant functional and physical morbidity. The major limitation of the study is that it is a single institution based and may not reflect the true spectrum of traumatic spinal cord injuries in the population

Researchers’ publication patterns and their use for author disambiguation

Over the recent years, we are witnessing an increase of the need for advanced bibliometric indicators on individual researchers and research groups, for which author disambiguation is needed. Using the complete population of university professors and researchers in the Canadian province of Québec (N=13,479), of their papers as well as the papers authored by their homonyms, this paper provides evidence of regularities in researchers’ publication patterns. It shows how these patterns can be used to automatically assign papers to individual and remove papers authored by their homonyms. Two types of patterns were found: 1) at the individual researchers’ level and 2) at the level of disciplines. On the whole, these patterns allow the construction of an algorithm that provides assignation information on at least one paper for 11,105 (82.4%) out of all 13,479 researchers—with a very low percentage of false positives (3.2%)