ShareCare: a study of databases within Q&A webapp context

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Blasco Jiménez, Guillermo[en] The content of this work is related to the study of the different database families that can be found working in different applications for the web. This study means a description of those families together with an analysis of their features and some of their common uses. This overview of databases will be reinforced by the example of a web application, created to exemplify some interesting use cases that make nowadays application use several kinds of databases. The purpose of this work is, therefore, to show how important is to know the possibilities that exist in terms of databases, and also to know some facts that a developer may bear in mind in order to make a good choice when selecting a database to work with

Large-scale event extraction from literature with multi-level gene normalization

Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts. To provide comprehensive coverage and enable full integration with existing biomolecular database records, it is crucial that text mining tools scale up to millions of articles and that their analyses can be unambiguously linked to information recorded in resources such as UniProt, KEGG, BioGRID and NCBI databases. In this study, we investigate how fully automated text mining of complex biomolecular events can be augmented with a normalization strategy that identifies biological concepts in text, mapping them to identifiers at varying levels of granularity, ranging from canonicalized symbols to unique gene and proteins and broad gene families. To this end, we have combined two state-of-the-art text mining components, previously evaluated on two community-wide challenges, and have extended and improved upon these methods by exploiting their complementary nature. Using these systems, we perform normalization and event extraction to create a large-scale resource that is publicly available, unique in semantic scope, and covers all 21.9 million PubMed abstracts and 460 thousand PubMed Central open access full-text articles. This dataset contains 40 million biomolecular events involving 76 million gene/protein mentions, linked to 122 thousand distinct genes from 5032 species across the full taxonomic tree. Detailed evaluations and analyses reveal promising results for application of this data in database and pathway curation efforts. The main software components used in this study are released under an open-source license. Further, the resulting dataset is freely accessible through a novel API, providing programmatic and customized access (http://www.evexdb.org/api/v001/). Finally, to allow for large-scale bioinformatic analyses, the entire resource is available for bulk download from http://evexdb.org/download/, under the Creative Commons -Attribution - Share Alike (CC BY-SA) license

Towards product platform introduction: optimising commonality of components

Companies that design and manufacture products for a wide range of related applications need to offer the right product for each use. A platform design strategy allows designing the product range based on product platforms, where some of the components and systems are common across the range whereas other components are individual for each product variant. This paper presents the problems that a company faces when trying to introduce a platform strategy and outlines a method to find suitable components to be made common. The method is shown with a simple case. The approach uses fuzzy logic to obtain a suitable criterion to assess the overall value of the product line and a genetic algorithm for finding the set of components to be made commo

Homebuyer Education and Counseling: A Start-Up Guide

This guide combines material from various sources in order to provide the best summary of homebuyer education programs. The enclosed samples range from job descriptions for home ownership counselors to Homebuyers Club schedules

Selecting asteroids for a targeted spectroscopic survey

Asteroid spectroscopy reflects surface mineralogy. There are few thousand asteroids whose surfaces have been observed spectrally. Determining the surface properties of those objects is important for many practical and scientific applications, such as for example developing impact deflection strategies or studying history and evolution of the Solar System and planet formation. The aim of this study is to develop a pre-selection method that can be utilized in searching for asteroids of any taxonomic complex. The method could then be utilized im multiple applications such as searching for the missing V-types or looking for primitive asteroids. We used the Bayes Naive Classifier combined with observations obtained in the course of the Sloan Digital Sky Survey and the Wide-field Infrared Survey Explorer surveys as well as a database of asteroid phase curves for asteroids with known taxonomic type. Using the new classification method we have selected a number of possible V-type candidates. Some of the candidates were than spectrally observed at the Nordic Optical Telescope and South African Large Telescope. We have developed and tested the new pre-selection method. We found three asteroids in the mid/outer Main Belt that are likely of differentiated type. Near-Infrared are still required to confirm this discovery. Similarly to other studies we found that V-type candidates cluster around the Vesta family and are rare in the mid/oter Main Belt. The new method shows that even largely explored large databases combined together could still be further exploited in for example solving the missing dunite problem.Comment: accepted to A

Bridging the Gap

School districts across the country are increasingly seeking out digital tools to support the work of educators, in the hopes of improving students' academic achievement. With the rapid emergence of this new market, many districts have been challenged by the task of identifying and procuring educational technology (ed-tech) products that match the needs of their educators and students.The NYC Department of Education's "Innovate NYC Schools" division, supported by a U.S. DOE Investing in Innovation (i3) grant, aims to address this problem, in part by promoting "user-centered design," an approach that puts the needs and preferences of products' intended users (in this case, teachers, students, and parents) front and center in the development and procurement of new technology.Bridging the Gap describes the design and implementation of three Innovate NYC Schools initiatives grounded in user-centered design theory:School Choice Design Challenge (SCDC),an effort to develop apps that would help students explore and narrow down their choices of high school.#SharkTankEDU events, during which ed-tech developers present a product to a panel of educators who provide feedback on the tool.Short-Cycle Evaluation Challenges (SCEC), a classroom-based, semester-long pilot of ed-tech tools intended to inform product development, as well as the ultimate procurement decisions of school staff.The report focuses on four phases of work involved in bringing ed-tech companies and the users of their products together: defining a problem; selecting users and ed-tech companies; implementing pilot-based initiatives; and evaluating products. It describes strategies used and challenges faced, and offers practical lessons gleaned from the experiences of the individuals who designed and participated in these efforts.