Matrix recovery using Split Bregman

In this paper we address the problem of recovering a matrix, with inherent low rank structure, from its lower dimensional projections. This problem is frequently encountered in wide range of areas including pattern recognition, wireless sensor networks, control systems, recommender systems, image/video reconstruction etc. Both in theory and practice, the most optimal way to solve the low rank matrix recovery problem is via nuclear norm minimization. In this paper, we propose a Split Bregman algorithm for nuclear norm minimization. The use of Bregman technique improves the convergence speed of our algorithm and gives a higher success rate. Also, the accuracy of reconstruction is much better even for cases where small number of linear measurements are available. Our claim is supported by empirical results obtained using our algorithm and its comparison to other existing methods for matrix recovery. The algorithms are compared on the basis of NMSE, execution time and success rate for varying ranks and sampling ratios

Quest for Identity in Bharati Mukherjee’s Novel Leave It to Me

Quest for identity or identity crisis has achieved propel in the Post Colonial literature. Post colonial literature can be identified by its discussion of cultural identity. It attempts to restore the original culture, conformity to the culture presented by the settlers or the creation of a new culture which combines both the left and the adopted. Indian English fiction deals eventually with the predicament, rising due to multi-culturalism and intercultural interactions. When a man is uprooted, he mislays the sense of belongingness and thus suffers from a sense of insecurity or identity crises. &nbsp

The Influence of Leadership on Organizational culture, Commitment, and Work Motivation

The significance of organizational culture in determining the success of an organization cannot be understated, and leadership plays a crucial role in shaping it. Furthermore, the literature review has identified the importance of studying other variables such as organizational commitment and workplace motivation. This research aims to examine how different leadership styles impact organizational culture, organizational commitment, and workplace motivation. A survey questionnaire was administered, incorporating established measurement scales, resulting in 541 responses that were subsequently analyzed using the SmartPLS tool. The findings of the study revealed that various leadership styles have varying effects on organizational culture, commitment, and work motivation. Notably, autocratic leadership was found to have a negative impact on these outcomes. The study also offers practical implications and proposes avenues for future research in this domain

EFFECT OF AAHAR AND VIHAR IN NCDS W.S.R TO MODERN ERA

NCD is medical conditions that is not caused by infectious agent but are caused as a direct result of diet, life style and environmental factors. NCDs can refers to chronic diseases which last for long periods of time and progress slowly such as autoimmune disease, cardiovascular diseases, metabolic diseases and chronic kidney diseases. NCDs are leading cause of death in the world representing 63% of all annual deaths. The major cause of NCD is eating unhealthy foods like food so much sweet, high salt, high fat, other junk food and fruits persevered with chemical fertilizer and drinking excess amount of alcohol. Doing no physical activity have increased working hours, high stress level, are major cause of NCDs.Ayurveda is science of life it is mentioned that the 3 pillars of healthy and long life are proper Aahar, Nidra, Bhrahmcharya of our body. Our diet is an essential factor for the formation of body. Charak says that consuming improper diet in improper way is the main cause of disease this is explained under Ashtaaharvidhivisheshayatan, Viruddhaahar. Use of incompatible food leads to skin disorder, GIT disorder, Diabetes, obesity, hence these should be avoided. Ayurveda imphasizes regulation of Aahar Vihar in the form of Ashtaaharvidhivisheshayatan, Dincharya, Ritucharya. Ayurveda can definitely yield reliable efficacious result when applied to all manner of chronic diseases

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study

Mixup is a popular data augmentation technique based on creating new samples by linear interpolation between two given data samples, to improve both the generalization and robustness of the trained model. Knowledge distillation (KD), on the other hand, is widely used for model compression and transfer learning, which involves using a larger network's implicit knowledge to guide the learning of a smaller network. At first glance, these two techniques seem very different, however, we found that "smoothness" is the connecting link between the two and is also a crucial attribute in understanding KD's interplay with mixup. Although many mixup variants and distillation methods have been proposed, much remains to be understood regarding the role of a mixup in knowledge distillation. In this paper, we present a detailed empirical study on various important dimensions of compatibility between mixup and knowledge distillation. We also scrutinize the behavior of the networks trained with a mixup in the light of knowledge distillation through extensive analysis, visualizations, and comprehensive experiments on image classification. Finally, based on our findings, we suggest improved strategies to guide the student network to enhance its effectiveness. Additionally, the findings of this study provide insightful suggestions to researchers and practitioners that commonly use techniques from KD. Our code is available at https://github.com/hchoi71/MIX-KD.Comment: To be presented at WACV 202

Clinical Metabolomics Investigation of Rheumatoid Arthritis Patients Receiving Ayurvedic Whole System Intervention

BACKGROUND: Arthritis is a common clinical condition seen in Ayurveda clinics. Clinical trials have reported Ayurvedic interventions to be of benefits in many arthritic conditions including Rheumatoid Arthritis (RA). No mechanistic details however are available about how such interventions on their own or as a combination of whole system Ayurveda might be working. OBJECTIVE: The study aims to evaluate simultaneously the clinical outcome of Ayurveda whole system (AWS) intervention in RA patients and identifying the serum metabolic signatures which could be useful for diagnosing the disease and monitoring treatment response. MATERIAL AND METHODS: RA patients (n = 37) simultaneously diagnosed as Amavata fulfilling the specific inclusion and exclusion criteria were recruited in the study and were given Ayurveda whole system (AWS) intervention comprised of oral medicines, local therapy and dietary recommendation for 3 months. The clinical and serum metabolic changes were investigated for pre-treatment RA patients (baseline RA group, n = 37) and post-treatment RA patients (following treatment of 6-weeks (RA_F, n = 26) and three months (RA_T, n = 36). For comparative serum metabolomics analysis, 57 normal healthy control (HC) subjects were also involved and the serum metabolic profiles were measured at high-field 800 MHz NMR spectrometer. The serum metabolic profiles were compared using multivariate statistical analysis and discriminatory metabolic features were evaluated for diagnostic potential using receiver operating characteristic (ROC) curve analysis. RESULTS: A significant reduction in DAS-28 ESR, AAM Score, total swollen joints, total tender joints were observed following AWS intervention. The clinical outcomes were concordant with changes in metabolic profiles of RA patients as these were also shifting towards the normal levels following the intervention. Compared to healthy control (HC) subjects, the sera of baseline RA patients were characterised by increased circulatory level of succinate, lysine, mannose, creatine, and 3-Hydroxybutyrate (3-HB) and decreased levels of alanine. The present study also evaluated the serum metabolic ratios for their discriminatory and diagnostic potential and notably, six metabolic ratios (KHR, KThR, KVR, GHR, PTR and SHR) were found significantly altered (elevated) in baseline RA patients. However, in RA patients receiving AWS treatment, these metabolic changes showed marked convergence towards the metabolic signatures of healthy controls. CONCLUSION: This first of its kind study clearly shows the clinical efficacy of Ayurvedic Whole System (AWS) intervention in the management of Rheumatoid Arthritis (RA), as demonstrated by significant improvements in key clinical parameters. The intervention not only alleviated symptoms but also induced a profound metabolic shifting towards normalization; thus, underscoring the potential of AWS intervention to modulate cellular metabolism in a manner that facilitates a return to homeostasis in RA patients. However, future studies are imperative to confirm these preliminary observations and delineate the underlying mechanisms of action of intervention in cases of RA