Automatic Gait Recognition using Hybrid Neural Network

Gait is a biometric trait that has been used for user authentication or verification on the basis of various attributes of gait. Gait of an individual get affected due to variation in mood, emotions, age and weight, due to these variation a perfect model is not possible that can be developed so that these all factors can be eliminated. In the proposed work, CASIA dataset has been used as standard dataset. This dataset contains samples of 16 different individuals that have been taken at 0, 45, 90 degrees of angles. Afterwards, silhouette images have been taken for feature extraction from the gait samples using variable2-dimenssiaonl principal component analysis with neural network classifier.Along with this, validation of the proposed work has been done using two performance evaluation parameters, namely, FAR and FRR through confusion matrix

Canada’s Prime Minister Wields Excessive Power

The focus of this paper is to argue in favour of the notion that power is being overly centralized in the hands of the prime minister. The focus of this paper has been narrowed down to analyze three key features; the House of Commons, Members of Parliament, and Cabinet minister. The paper will explain how the Canadian PM holds power over these bodies, and what implications this invested power holds. The paper will also address how certain constraints on the prime minister are not effective in limiting the powers of the prime minister. Therefore, in this paper, I will argue that power has been overly centralized in the hands of the prime minister because of the prime minister’s ability to control sessions of Parliament, the use of excessive party discipline, and the control over Cabinet appointments. I will draw evidence from various academic articles and books, as well as news articles to provide concrete examples to support my argument

Variation in Adherence Measures to Imatinib Therapy

Purpose: The introduction of tyrosine kinase inhibitors has transformed the care of patients with chronic myeloid leukemia, with survival approaching that of healthy individuals. Current-day challenges in chronic myeloid leukemia care include adherence to tyrosine kinase inhibitor therapy. We studied adherence from resource-constrained settings and tried to analyze the factors responsible for nonadherence in these individuals. We also correlated adherence to current molecular status. Patients and Methods: This was a single-center, cross-sectional, observational study from north India. It consisted of a questionnaire-based survey in which a one-to-one interview technique was used by trained nursing staff administering the Modified Morisky Adherence Scale (MMAS-9) questionnaire. Adherence was also measured on the basis of physician’s assessment. JMP 13.0.0 was used for statistical analysis. Results: A total of 333 patients with a median age of 42 years were included in the study. The median BCR-ABL/ABL ratio (IS) was 0.175 (0.0 to 98.0). The mean MMAS-9 score was 11 ± 2. Adherence was seen in 54.95% on the basis of MMAS-9, whereas physician’s assessment reported adherence in 90.39% of patients. Using the χ2 test, no relationship was found between the two assessment techniques. There was a significant relationship between major molecular response status and adherence by physician’s assessment and MMAS-9 (P < .001). Bivariate analysis by logistic fit showed a good relation between the MMAS-9 score and the BCR-ABL/ABL ratio (IS), χ2 (1,220) = 135.45 (P < .001). On multivariate analysis, enrolment in the Novartis Oncology Access program (a patient assistance program) was significantly associated with adherence (P = .012). Conclusion: This study highlights the lack of adherence in real-world settings and the various factors responsible. Such studies are important from a public health services perspective in various settings around the world because they may lead to corrective action being taken at the institutional level