Study to Assess the Prevalence of Soft Drinking and its Determinants among the School going Children of Gwalior city

Background: Over the time there has been spectrum of changes in the universe. It may be at physical, chemical and cultural level. People have adopted newer life styles like their working style, clothing’s, food habits and so on. One of the pertinent example of this newer food habits is rising consumption of soft drinks rather than traditional home made drinks. This study was aimed to find out various determinants responsible for this rising trend of soft drinking so that effective intervention can be undertaken to overcome this creeping problem. Objectives: To find out the prevalence of soft drinking consumption among the students and to assess the determinants of soft drink consumption among the students. Materials and methods: It was a cross sectional study. A sample of 200 students was selected from the both govt. and private schools by stratified random sampling. Then they all were interviewed by using pre tested, semi structured proforma. Later on data was analyzed manually and by using suitable statistical software. Results: Frequent drinking of soft drinks was found more among the students of private schools than govt. (p < 0.05). A significant association was found between pocket money, TV watching and frequency of soft drinking (p< 0.05).Other reasons which were found to be responsible by far for frequent soft drinking like lack of awareness regarding hazards, frequent TV watching, desire of new taste, lack of health education from the parents side etc. Conclusion: Soft drinking consumption is creeping day by day amongst the children with out knowing their hazards. And they are the future of any country so there should be effective intervention from both sides govt. as well as parents to get rid of it at earliest

Revisiting Visual Question Answering Baselines

Visual question answering (VQA) is an interesting learning setting for evaluating the abilities and shortcomings of current systems for image understanding. Many of the recently proposed VQA systems include attention or memory mechanisms designed to support "reasoning". For multiple-choice VQA, nearly all of these systems train a multi-class classifier on image and question features to predict an answer. This paper questions the value of these common practices and develops a simple alternative model based on binary classification. Instead of treating answers as competing choices, our model receives the answer as input and predicts whether or not an image-question-answer triplet is correct. We evaluate our model on the Visual7W Telling and the VQA Real Multiple Choice tasks, and find that even simple versions of our model perform competitively. Our best model achieves state-of-the-art performance on the Visual7W Telling task and compares surprisingly well with the most complex systems proposed for the VQA Real Multiple Choice task. We explore variants of the model and study its transferability between both datasets. We also present an error analysis of our model that suggests a key problem of current VQA systems lies in the lack of visual grounding of concepts that occur in the questions and answers. Overall, our results suggest that the performance of current VQA systems is not significantly better than that of systems designed to exploit dataset biases.Comment: European Conference on Computer Visio

Landau Ghosts and Anti-Ghosts in Condensed Matter and High Density Hadronic Matter

It is observed that the ``ghost'' (originally discovered by Landau in quantum electro-dynamics) and its counterparts in other theories are indeed ubiquitous as they occur in a one-loop approximation to any conventional (unbroken) gauge theory. The mechanism is first exposed in its generality via the Dyson equation and a simple but explicit example in condensed matter is provided through the static Clausius-Mossotti and its dynamic counterpart the Lorenz-Lorentz equation. The physical phase transition phenomenon associated with it is found to be super-radiance. We verify quantitatively that water (and many other polar liquids) are indeed super-radiant at room temperature. In quantum chromo-dynamics on the other hand, we encounter, thanks to asymptotic freedom, an ``anti-ghost'' which is closely associated with color confinement. Thus, in QCD, free quarks and glue exist in a super-radiant phase and hadronic matter in the normal one.Comment: LaTeX 12 Pages and 2 *.eps Figure

Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification

Microscopic histology image analysis is a cornerstone in early detection of breast cancer. However these images are very large and manual analysis is error prone and very time consuming. Thus automating this process is in high demand. We proposed a hierarchical system of convolutional neural networks (CNN) that classifies automatically patches of these images into four pathologies: normal, benign, in situ carcinoma and invasive carcinoma. We evaluated our system on the BACH challenge dataset of image-wise classification and a small dataset that we used to extend it. Using a train/test split of 75%/25%, we achieved an accuracy rate of 0.99 on the test split for the BACH dataset and 0.96 on that of the extension. On the test of the BACH challenge, we've reached an accuracy of 0.81 which rank us to the 8th out of 51 teams