Why Performance Testing

This paper introduces Benefits of performance testing in organizations. To understand the importance, it is very necessary to know what Performance is testing, why it should be or when it should be performed. Performance testing means to validate the applications/ systems reliability, scalability, stability. If testing is not performed properly then it can produce catastrophic results. Keywords: Performance Testing, HP Load runner, Load testing, Stress Testin

REINFORCEMENT LEARNING BASED RECOMMENDATION SYSTEM FOR SOFTWARE UPGRADES

A software recommendation system that uses Reinforcement Learning to recommend the most suitable upgradable software versions to a customer. The software recommendation system takes into consideration the user\u27s feedback and applies that learning to unseen cases, resulting in a better customer experience

Cultural context shapes the carbon footprints of recipes

Food systems are responsible for a third of global anthropogenic greenhouse gas emissions central to global warming and climate change. Increasing awareness of the environmental impact of food-centric emissions has led to the carbon footprint quantification of food products. However, food consumption is dictated by traditional dishes, the cultural capsules that encode traditional protocols for culinary preparations. Carbon footprint estimation of recipes will provide actionable insights into the environmental sustainability of culturally influenced patterns in recipe compositions. By integrating the carbon footprint data of food products with a gold-standard repository of recipe compositions, we show that the ingredient constitution dictates the carbon load of recipes. Beyond the prevalent focus on individual food products, our analysis quantifies the carbon footprint of recipes within the cultural contexts that shape culinary protocols. While emphasizing the widely understood harms of animal-sourced ingredients, this article presents a nuanced perspective on the environmental impact of culturally influenced dietary practices. Along with the grasp of taste and nutrition correlates, such an understanding can help design palatable and environmentally sustainable recipes. Systematic compilation of fine-grained carbon footprint data is the way forward to address the challenge of sustainably feeding an anticipated population of 10 billion.Comment: 37 pages (inclusive of Extended Figures and Supplementary Materials), 5 Main Figures, 6 Extended Figures, 3 Supplementary Figures, and 6 Supplementary Table

Why To Go With Licensed Version Control Tool When Open Source Tool Is There

This Paper introduces why organizations should use licensed version control tool when open source tool (GIT) is available in the market. To purchase and maintain such tools, it’s hard for the small organizations, and now becoming a challenge for the large organizations too. For such kind of reasons and to make organizations cost effective, idea came for migration from vendor IBM Rational ClearCase to an open Source tool GIT/subversion. When all similar features are available in the open source tool GIT. Keywords: Software configuration management, ClearCase, GIT, repository, cloning

EPJ Data Science / Collective aspects of privacy in the Twitter social network

Preserving individual control over private information is one of the rising concerns in our digital society. Online social networks exist in application ecosystems that allow them to access data from other services, for example gathering contact lists through mobile phone applications. Such data access might allow social networking sites to create shadow profiles with information about non-users that has been inferred from information shared by the users of the social network. This possibility motivates the shadow profile hypothesis: the data shared by the users of an online service predicts personal information of non-users of the service. We test this hypothesis for the first time on Twitter, constructing a dataset of users that includes profile biographical text, location information, and bidirectional friendship links. We evaluate the predictability of the location of a user by using only information given by friends of the user that joined Twitter before the user did. This way, we audit the historical prediction power of Twitter data for users that had not joined Twitter yet. Our results indicate that information shared by users in Twitter can be predictive of the location of individuals outside Twitter. Furthermore, we observe that the quality of this prediction increases with the tendency of Twitter users to share their mobile phone contacts and is more accurate for individuals with more contacts inside Twitter. We further explore the predictability of biographical information of non-users, finding evidence in line with our results for locations. These findings illustrate that individuals are not in full control of their online privacy and that sharing personal data with a social networking site is a decision that is collectively mediated by the decisions of others.(VLID)477385

MOESM1 of Collective aspects of privacy in the Twitter social network

Additional information about statistical analyses. (pdf

FlavorDB2: An Updated Database of Flavor Molecules

Flavor is expressed through interaction of molecules via gustatory and olfactory mechanisms. Knowing the utility of flavor molecules in food and fragrances, it is valuable to add a comprehensive repository of flavor compounds characterizing their flavor profile, chemical properties, regulatory status, consumption statistics, taste/aroma threshold values, reported uses in food categories, and synthesis. FlavorDB2 (https://cosylab.iiitd.edu.in/flavordb2/) is an updated database of flavor molecules with an user-friendly interface. This repository simplifies the search for flavor molecules, their attributes and offers a range of applications including food pairing. FlavorDB2 serves as a standard repository of flavor compounds.Comment: 5 pages, 2 figure

Object Detection in Indian Food Platters using Transfer Learning with YOLOv4

Object detection is a well-known problem in computer vision. Despite this, its usage and pervasiveness in the traditional Indian food dishes has been limited. Particularly, recognizing Indian food dishes present in a single photo is challenging due to three reasons: 1. Lack of annotated Indian food datasets 2. Non-distinct boundaries between the dishes 3. High intra-class variation. We solve these issues by providing a comprehensively labelled Indian food dataset- IndianFood10, which contains 10 food classes that appear frequently in a staple Indian meal and using transfer learning with YOLOv4 object detector model. Our model is able to achieve an overall mAP score of 91.8% and f1-score of 0.90 for our 10 class dataset. We also provide an extension of our 10 class dataset- IndianFood20, which contains 10 more traditional Indian food classes.Comment: 6 pages, 7 figures, 38th IEEE International Conference on Data Engineering, 2022, DECOR Worksho

Role of Human Epididymis Protein 4 in Tumour Angiogenesis

HE4 is a secretory protein. It is expressed in reproductive tract and respiratory epithelium in normal individuals. Serum level of HE4 is raised in various solid cancers that give us an advantage to use it as a diagnostic and prognostic biomarker. It is an established biomarker of epithelial ovarian cancer [EOC]. It has also shown the significance in various other malignancies like cancer of endometrium, cervix, lung and breast. Studies show HE4 as an independent prognostic biomarker in non-small cell lung carcinoma. Its raised values in cancer signify its role in oncogenesis. HE4 promotes angiogenesis via STAT3 signalling pathway. In this paper we have tried to illustrate about human epididymis protein 4 and its role in tumour angiogenesis