Text Independent Open-Set Cell phone Identification

This paper discusses the application of speech signals that convey various pieces of information such as the identity of its speaker, the language spoken, and the linguistic information about the text being spoken etc. The rapid developments in technologies related to cell-phones have resulted in their much broader usage than mere talking devices used for making and receiving phone calls. User-generated audio recordings from cell phones can be very helpful in a number of forensic applications. This thesis proposes a novel system for open-set cell-phone identification from speech samples recorded using the cell-phone. The proposed system uses different features based on original speech recordings and classifies them using sequential minimal optimization (SMO) based Support vector machine (SVM) and Vector Quantization (VQ). The performance of the proposed system is tested on a customised databases extracted from pre-recorded speech content of twenty-two cell phones of different manufacturers. Closed-set cell-phone recognition systems abound, and the overwhelming majority of research in cell-phone recognition in the past has been limited to this task. A realistically viable system must be capable of dealing with the open-set task. This effort attacks the open-set task, identifying the best features to use, and proposes the use of a fuzzy classifier followed by hypothesis testing as a model for text-independent, open-set cell-phone recognition

Granger Causality Detection via Sequential Hypothesis Testing

Most of the metrics used for detecting a causal relationship among multiple time series ignore the effects of practical measurement impairments, such as finite sample effects, undersampling and measurement noise. It has been shown that these effects significantly impair the performance of the underlying causality test. In this paper, we consider the problem of sequentially detecting the causal relationship between two time series while accounting for these measurement impairments. In this context, we first formulate the problem of Granger causality detection as a binary hypothesis test using the norm of the estimates of the vector auto-regressive~(VAR) coefficients of the two time series as the test statistic. Following this, we investigate sequential estimation of these coefficients and formulate a sequential test for detecting the causal relationship between two time series. Finally via detailed simulations, we validate our derived results, and evaluate the performance of the proposed causality detectors.Comment: 5 pages 3 figure

A rare association of Pyle disease with ventricular septal defect

Pyle’s disease is a rare autosomal recessive disorder manifested by metaphyseal dysplasia. It is characterized by defect in metaphyseal remodeling that leads to grossly widened metaphyses of long bones with marked cortical thinning and osteoporosis, especially in the distal end of femur and proximal tibia. The other features include genu valgum, broadening of the long bones extending into the diaphyses, widening of the ribs and clavicles, platyspondyly, and cortical thinning. We report this rare disorder in a 5-year-old boy associated with ventricular septal defect which has never been reported in the literature. It may be an incidental finding or some association with this rare disorder

Study of anti-nociceptive potential of physostigmine and its combination with morphine in albino rats

Background: The cholinergic drugs are having antinociceptive potential but are under investigation because of their serious side effects. It is difficult to accept them as an analgesic. This study is undertaken in the experimental animal models for the evaluation of the antinociceptive potential of Physostigmine and its combination with Morphine at their sub-analgesic doses. The objective of the study was to evaluate the antinociceptive effect of Physostigmine and its combination with subanalgesic dose of morphine and comparing their effect with analgesic dose of Morphine.Methods: Antinociceptive effect of Physostigmine in three graded doses (50, 100 & 200 µg/kg) and combination of Physostigmine at low dose (50 µg/kg) with sub-analgesic dose of Morphine (0.1 mg/kg) and Morphine in analgesic dose (1 mg/kg) was evaluated by using tail flick method in albino rats.Results: Comparison of maximal possible effect in percentage (MPE in %) between groups at 90 minutes in control, Morphine, Physostigmine in 50, 100, 200 µg/ kg doses and combination group respectively, demonstrated significant difference (p < 0.001) when compared by one way ANOVA test. There was no much increase in the tail flick latency in Physostigmine 50 µg/kg (SC) treatment at 90 min (3.08±0.15) in comparison to control (NS) treatment group. Combination treatment of low doses of both Physostigmine 50 µg/kg + Morphine 0.1 mg/kg increased the tail flick latency 90 min (7.08±0.15) in-comparison to control (NS) treatment group (3.33±0.11).Conclusions: Physostigmine is more potent antinociceptive than Morphine and Physostigmine potentiated the antinociceptive activity of low dose of standard drug Morphine

Study of Microstrip filters

Volume 2 Issue 1 (January 2014

Effectiveness of low dose physostigmine for dose reduction of morphine in pain management

Background: This is an interventional study, undertaken in the experimental animal models for the evaluation of the antinociceptive potential of Physostigmine and its combination with Morphine at their sub-analgesic doses. The objective of the study was to evaluate the antinociceptive potential of Physostigmine alone and in combination with morphine.Methods: Antinociceptive effect of Physostigmine in three graded doses (50, 100 and 200 μg/kg) and combination of Physostigmine at low dose (50 μg/kg) with sub-analgesic dose of Morphine (0.1 mg/kg) and Morphine in analgesic dose (1 mg/kg) was evaluated by using Hot Water Bath method in albino rats.Results: Comparison of maximal possible effect in percentage (MPE in %) between groups at 90 minutes in control, Morphine, Physostigmine in 50, 100, 200 μg/ kg doses and combination group respectively, demonstrated significant difference (p <0.001) when compared by one way ANOVA test. There was no much increase in maximal possible effect in the tail withdrawal latency in Physostigmine 50 μg/kg (SC) treatment at 90 min (5.50±0.88) in comparison to control (NS) treatment group. Combination treatment of low doses of both Physostigmine 50 μg/kg + Morphine 0.1 mg/kg increased in maximal possible effect the tail withdrawal latency 90 min (53.87±1.38) in-comparison to control (NS) treatment group (6.17±0.92).Conclusions: Physostigmine is more potent antinociceptive than Morphine and Physostigmine potentiated the antinociceptive activity of low dose of standard drug Morphine

Turbulent flow heat transfer through a circular tube with novel hybrid grooved tape inserts : thermohydraulic analysis and prediction by applying machine learning model

The present experimental work is performed to investigate the convection heat transfer (HT), pressure drop (PD), irreversibility, exergy efficiency and thermal performance for turbulent flow inside a uniformly heated circular channel fitted with novel geometry of hybrid tape. Air is taken as the working fluid and the Reynolds number is varied from 10,000 to 80,000. Hybrid tape is made up of a combination of grooved spring tape and wavy tape. The results obtained with the novel hybrid tape show significantly better performance over individual tapes. A correlation has been developed for predicting the friction factor (f) and Nusselt number (Nu) with novel hybrid tape. The results of this investigation can be used in designing heat exchangers. This paper also presented a statistical analysis of the heat transfer and fluid flow by developing an artificial neural network (ANN)-based machine learning (ML) model. The model is trained based on the features of experimental data, which provide an estimation of experimental output based on user-defined input parameters. The model is evaluated to have an accuracy of 98.00% on unknown test data. These models will help the researchers working in heat transfer enhancement-based experiments to understand and predict the output. As a result, the time and cost of the experiments will reduce.RIG Grant, BITS Pilanihttps://www.mdpi.com/journal/sustainabilityMechanical and Aeronautical Engineerin

DESIGN AND CHARACTERIZATION OF SUSTAINED RELEASE MATRIX TABLETS OF METFORMIN HYDROCHLORIDE USING COMBINATION OF HYDROPHILIC POLYMERS

Sustained release system is types of modified drug delivery system that can be used as an alternative to conventional system. Among different dosage forms, matrix tablets are widely accepted for oral sustained release Metformin hydrochloride has relatively short plasma half-life, low absolute bioavailability. The need for the administration two to three times a day when larger doses are required can decrease patient compliance. Sustained release formulation that would maintain plasma level for 8-12 h might be sufficient for daily dosing of metformin. Sustained release products are needed for metformin to prolong its duration of action and to improve patient compliances. They are capable of reducing the dose intake, minimize the blood level oscillation dose related adverse effect and cost thus improves the patient compliance in the therapeutic management of diabetes. The Metformin hydrochloride matrix Sustained release tablets were prepared using different hydrophilic polymers in various proportions as release retarding agent to prolong the drug release and to improve the patience compliance. The tablets were evaluated for various tests like hardness, friability, disintegration and in-vitro dissolution studies. Keywords: Matrix Tablets, Metformin hydrochloride, Hardness, Friability, Disintegration and in-vitro dissolution studie

Phylogeography and Population Structure Analysis Reveal Diversity by Gene Flow and Mutation in Ustilago segetum (Pers.) Roussel tritici Causing Loose Smut of Wheat

Ustilago segetum (Pers.) Roussel tritici (UST) causes loose smut of wheat account for considerable grain yield losses globally. For effective management, knowledge of its genetic variability and population structure is a prerequisite. In this study, UST isolates sampled from four different wheat growing zones of India were analyzed using the second largest subunit of the RNA polymerase II (RPB2) and a set of sixteen neutral simple sequence repeats (SSRs) markers. Among the 112 UST isolates genotyped, 98 haplotypes were identified. All the isolates were categorized into two groups (K = 2), each consisting of isolates from different sampling sites, on the basis of unweighted paired-grouping method with arithmetic averages (UPGMA) and the Bayesian analysis of population structure. The positive and significant index of association (IA = 1.169) and standardized index of association (rBarD = 0.075) indicate population is of non-random mating type. Analysis of molecular variance showed that the highest variance component is among isolates (91%), with significantly low genetic differentiation variation among regions (8%) (Fst = 0.012). Recombination (Rm = 0) was not detected. The results showed that UST isolates have a clonal genetic structure with limited genetic differentiation and human arbitrated gene flow and mutations are the prime evolutionary processes determining its genetic structure. These findings will be helpful in devising management strategy especially for selection and breeding of resistant wheat cultivars