Generalized Zero-Shot Learning via Synthesized Examples

We present a generative framework for generalized zero-shot learning where the training and test classes are not necessarily disjoint. Built upon a variational autoencoder based architecture, consisting of a probabilistic encoder and a probabilistic conditional decoder, our model can generate novel exemplars from seen/unseen classes, given their respective class attributes. These exemplars can subsequently be used to train any off-the-shelf classification model. One of the key aspects of our encoder-decoder architecture is a feedback-driven mechanism in which a discriminator (a multivariate regressor) learns to map the generated exemplars to the corresponding class attribute vectors, leading to an improved generator. Our model's ability to generate and leverage examples from unseen classes to train the classification model naturally helps to mitigate the bias towards predicting seen classes in generalized zero-shot learning settings. Through a comprehensive set of experiments, we show that our model outperforms several state-of-the-art methods, on several benchmark datasets, for both standard as well as generalized zero-shot learning.Comment: Accepted in CVPR'1

Quantitative environmental impact assessment of the Open cast mining in Sonbhadra district, Uttar Pradesh, India

The district Sonbhadra, previously a part of Mirzapur district in Uttar Pradesh, India, was created as a separate district in 1991.Geologically the area consists of Vindhyan supergroup, Mahakoshal group and Dudhi granitoid complex.The district Sonbhadra has rich mineral resources and their potential. The area is known for production of cement grade Limestone and Dolomite; the other minerals are Clay, Calcite, Silimanite and base metals for more than last three decades. These mining areas show impacts on the environmental status of the district. In the present study, the different mining and environmental parameters have been considered for analysing the environmental impact assessment (EIA). A matrix method has been used to delineate the quantitative EIA in the area. Finally, the resulted assessment impact value index (-2861.76), shows significant impact on environment such as degradation of forest land, air contamination due to mining dust, water quality and related health aspect of the area. Thus, major environmental control measures should be taken for sustainable development of the study area such as improvement of mining equipments, proper dumping of the mining waste and large scale plantation

SYSTEM AND METHOD FOR ROLE AUTOMATION FOR DATA VIRTUALIZATION

The present disclosure provides a method and automation system for role automation for data virtualization. When user modifies/builds views, the automation system defines available security role master, row-level security rules, column-level security rules and view-specific security rules. The automation system then creates base view for master and obtains existing permission from metadata. The automation system compares results of base review and existing permission to find if there is any change in security rule. The automation system creates generic framework to generate security scripts in VQL to modify roles and store results into database as table. The automation system creates procedures to call VQLs and deploy in VQL shell. Thereafter, automation system schedule procedures using scheduler to run periodically, to verify and update security after each change in database. Thus, the present disclosure reduces time consumption for updating roles by automating the process

Effect of yoga and meditation on serum cortisol level in first-year medical students

Background: Yoga is a traditional technique to conserve and purify body, mind and soul. It is a mind-body bridge which involves relaxation, meditation and a set of physical exercises performed in association with breathing. In this new era of evolution, most of the population are depressed or in stress, irrespective of their age and gender.Methods: This study is performed on 1st yr. medical students whose stress level is in higher side due to academic burden. An 55 medical students were selected as participants through counseling and were divided into yoga group (n= 27) and control group (n=28). Their morning serum cortisol level was assessed, and yoga group were instructed to practice yoga (1hr/day for 12 weeks) under supervision of yoga instructor. No such instruction was given to control group.Results: Serum cortisol level is the marker of stress and inflammation. Higher cortisol level means high stress level. Yoga and meditation is documented to reduce stress level in regular practitioners.  Statistical analysis has shown decrease in morning serum cortisol level (572.18±168.03 to 544.98±139.89, 4.8% decrease, P value ˂0.05, significant) in yoga group after study. Control group have shown marked increase in cortisol level (558.89±162.69 to 577.26±254.5, 3.4% increase, P value = 0.74, not significant) after three months of study.Conclusions: This study concludes that practicing Yoga has a significant effect on the reduction of stress and anxiety level in medical students

A Review Over Genetic Algorithm and Application of Wireless Network Systems

AbstractTele-communication and network industry are becoming extremely fascinated by the use of evolutionary smart sensor nodes in wireless sensor networks. This technology promises to overcome several challenges within WSNs needed for real time data protection via optimization technique: Genetic Algorithm. This paper reviewedthe use of Genetic Algorithms (GAs) to solve certain limitation of wireless sensor networks. It further presents major application areas of wireless sensors networks. Longerdistance gap between a sensor and destination in a sensor network can remarkably reduce the energy of sensors and can degrade the life of a network. GA can prolong the network lifetime by minimizing the total communication distance

Regulation of wound strength by Ocimum sanctum: in silico and in vivo evidences

Background: The present work has been an attempt to facilitate the scientific understanding of the wound strength by Ocimum sanctum (OS, holy basil) a traditional knowledge practiced since ancient times in India.Methods: The in vivo Incision (wound strength) and Dead space wound models (biochemical estimation of components of ECM) in rats and  In silico method, where one of the target proteins from each class of MMPs involved in wound strength was selected for molecular docking with eugenol (one of the flavonoid present in OS).Results: Molecular docking showed that eugenol was able to inhibit all selected MMPs, i.e. collagenase (-6.37 Kcal/mol), gelatinase (-5.99 Kcal/mol), elastase (-6.31 Kcal/mol) and stromelysin (-5.79 Kcal/mol). Ethanolic extract of Ocimum sanctum (OSE, 200-800 mg/kg) when administered as suspension showed dose-dependent increase in wound breaking strength in in vivo Incision wound rat model. OSE 400 mg/kg produced a significant increase in protein and collagen constituents like hydroxyproline, hexuronic acid and hexosamine in the connective tissue content of extracellular matrix when studied in Dead space wound model in rat.Conclusions: The present study is an attempt to correlate the in vivo findings on wound strength promoting activity by Ocimum sanctum with in silico tools

TRIPHALADI NIRUHA BASTI IN THE MANAGEMENT OF CHRONIC KIDNEY DISEASE

Kidneys are the organs that have numerous biological roles in maintaining the homeostatic balance of body fluids by removing wastes out of the body. Chronic Kidney Disease (CKD) has always remained a major area of concern since a long time as it leads to irreversible deterioration in renal function which classically develops over a period of years. CKD is considered when glomerular filtration rate (GFR) falls below 30 ml/min. The conventional approach of management includes dialysis and renal transplantation, which are not easily affordable. If still can afford it, these costs have to be borne for life time and where in the complication problems after a transplant may include post-operative complication, bleeding, infection, vascular thrombosis and transplant rejection. Therefore, exploration of a safe and alternative therapy is needed, which proves to be helpful in reducing the requirement of dialysis and in postponing the renal transplantation. Ayurveda highlights the significance of Trimarma viz., Sira, Hrudaya, and Basti which are to be protected, if not may lead to many trivial diseases and may turn fatal. Though Basti Marma is identified structurally as bladder, the entire functional aspect of renal system is to be considered among which functioning of Kidneys occupies the major place. If we consider CKD as the disease affecting Basti Marma, then Basti Karma can be adopted as the treatment of choice as it is told to be best for Marma Paripalana. In this regard, a study was designed to manage the conditions of chronic kidney disease with Triphaladi Niruha Basti administered in Kala basti pattern along with Shamana Aushadis. The study revealed that there is marked improvement in reducing the clinical and laboratory manifestations of CKD