scholarly journals Web Application for the Management of Projects of the Division of Postgraduate Studies and Research of the Technological Institute of Oaxaca

Author(s):  
Eva Rafael-Pérez ◽  
Dagoberto Chávez-Cruz ◽  
Héctor Ángel Lujan-Lugos ◽  
Marco Antonio Sánchez-Medina

In accordance with the calls for proposals for technological development and innovation and scientific research projects, issued by the National Technological Institute of Mexico (TecNM), each campus belonging to the TecNM must carry out the management of the projects that are authorized in each period in order to have timely information on the status of each project in terms of progress, application of resources, goals achieved, etc. Based on these needs in the Technological Institute of Oaxaca, specifically in the Coordination of the Division of Postgraduate Studies and Research, the need to have a web tool that supports said project management becomes clear. The objective of this web tool is precisely the management, control and monitoring of the stages, advances, items and sub-items of the research project financing, based on the periods established by the TecNM, maintaining effective communication between the institutional coordinator and the project leader through notifications. The agile extreme programming model, JavaScript and the Express framework were used in the development of the software.

2014 ◽  
Vol 102 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Torregrosa Daniel ◽  
Forcada Mikel L. ◽  
Pérez-Ortiz Juan Antonio

Abstract We present a web-based open-source tool for interactive translation prediction (ITP) and describe its underlying architecture. ITP systems assist human translators by making context-based computer-generated suggestions as they type. Most of the ITP systems in literature are strongly coupled with a statistical machine translation system that is conveniently adapted to provide the suggestions. Our system, however, follows a resource-agnostic approach and suggestions are obtained from any unmodified black-box bilingual resource. This paper reviews our ITP method and describes the architecture of Forecat, a web tool, partly based on the recent technology of web components, that eases the use of our ITP approach in any web application requiring this kind of translation assistance. We also evaluate the performance of our method when using an unmodified Moses-based statistical machine translation system as the bilingual resource.


Webology ◽  
2021 ◽  
Vol 18 (Special Issue 05) ◽  
pp. 1137-1157
Author(s):  
V. Vamsi Krishna ◽  
G. Gopinath

Automatic functional tests are a long-standing issue in software development projects, and they are still carried out manually. The Selenium testing framework has gained popularity as an active community and standard environment for automated assessment of web applications. As a result, the trend setting of web services is evolving on a daily basis, and there is a need to improve automatic testing. The study involves to make the system to understand the experiences of previous test cases and apply new cases to predict the status of test case using Tanh activated Clustering and Classification model (TACC). The primary goal is to improve the model's clustering and classification output. The outcomes show that the TACC model has increased performance and demonstrated that automated testing results can be predicted, which is cost effective and reduces manual effort to a greater extent.


2016 ◽  
Author(s):  
Stephen G. Gaffney ◽  
Jeffrey P. Townsend

ABSTRACTSummaryPathScore quantifies the level of enrichment of somatic mutations within curated pathways, applying a novel approach that identifies pathways enriched across patients. The application provides several user-friendly, interactive graphic interfaces for data exploration, including tools for comparing pathway effect sizes, significance, gene-set overlap and enrichment differences between projects.Availability and ImplementationWeb application available at pathscore.publichealth.yale.edu. Site implemented in Python and MySQL, with all major browsers supported. Source code available at github.com/sggaffney/pathscore with a GPLv3 [email protected] InformationAdditional documentation can be found at http://pathscore.publichealth.yale.edu/faq.


2020 ◽  
Author(s):  
Maximilian Heimstädt

Datafication, the technological development that emerged out of computerization and global interconnectedness, has spawned new forms of societal self-observations. In the present article I turn to the example of Open Data web portals – specialized websites that make large amounts of governmental datasets publicly available – to show how they relate to the status quo of social research on functional differentiation. For my analysis of the Chilean Portal de Datos Públicos I developed a method to link metadata categories from the web portal to a hard-core list of ten function systems. My results confirm literature, which finds economized or politicized forms of societal self-description. Moreover the results are in line with studies that show the vanishing role of religion. Interestingly, my study finds health to be of high importance – I might even speak of a “healthized” self-observation – which I argue is at odds with a negligible representation of the function system “sport” within the self-observation. For future interfunctional social research in the time of datafication, I recommend sharpening the empirical approach by exploring emerging text-as-data methods.


Author(s):  
Eva Rafael-Pérez ◽  
Eliel López-Cruz ◽  
Alan Jhaseel Hernández-Bolaños ◽  
Bibiana Díaz-Sarmiento

Currently, the use of mobile applications is of utmost importance, since it allows the availability of information at all times. The mobile application described in this article was made to follow up on the Requests for Access to Information and is part of a web system, with which an internal control of the Requests for Access to Information that are sent to the Dependencies, Entities, Auxiliary Bodies and Trusts of the State Public Administration. The application will attend to the requests and thus, the times of attention to them are met within the terms established by the Law of Transparency and Access to Public Information for the State of Oaxaca (LGTAIPO). The mobile application allows the monitoring of information requests received, shows the status in which they are through a colored traffic light, meetings can be scheduled, allows the registration of the user's profile, and, has an internal chat so that dependencies can communicate with each other and send notifications. The development methodology used for this project was Extreme Programming using the Dart programming language.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Valerio Licursi ◽  
Federica Conte ◽  
Giulia Fiscon ◽  
Paola Paci

Abstract Background miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insight into understanding the regulatory mechanism orchestrated by miRNAs in various cellular processes. A reasonable solution is certainly to prioritize miRNA-target interactions to maximize the effectiveness of the downstream analysis. Results We propose a new and easy-to-use web tool MIENTURNET (MicroRNA ENrichment TURned NETwork) that receives in input a list of miRNAs or mRNAs and tackles the problem of prioritizing miRNA-target interactions by performing a statistical analysis followed by a fully featured network-based visualization and analysis. The statistics is used to assess the significance of an over-representation of miRNA-target interactions and then MIENTURNET filters based on the statistical significance associated with each miRNA-target interaction. In addition, the holistic approach of the network theory is used to infer possible evidences of miRNA regulation by capturing emergent properties of the miRNA-target regulatory network that would be not evident through a pairwise analysis of the individual components. Conclusion MIENTURNET offers the possibility to consistently perform both statistical and network-based analyses by using only a single tool leading to a more effective prioritization of the miRNA-target interactions. This has the potential to avoid researchers without computational and informatics skills to navigate multiple websites and thus to independently investigate miRNA activity in every cellular process of interest in an easy and at the same time exhaustive way thanks to the intuitive web interface. The web application along with a well-documented and comprehensive user guide are freely available at http://userver.bio.uniroma1.it/apps/mienturnet/ without any login requirement.


2018 ◽  
Vol 399 (9) ◽  
pp. 983-995
Author(s):  
Chenwei Wang ◽  
Leire Moya ◽  
Judith A. Clements ◽  
Colleen C. Nelson ◽  
Jyotsna Batra

AbstractThe dysregulation of the serine-protease family kallikreins (KLKs), comprising 15 genes, has been reportedly associated with cancer. Their expression in several tissues and physiological fluids makes them potential candidates as biomarkers and therapeutic targets. There are several databases available to mine gene expression in cancer, which often include clinical and pathological data. However, these platforms present some limitations when comparing a specific set of genes and can generate considerable unwanted data. Here, several datasets that showed significant differential expression (p<0.01) in cancer vs. normal (n=118), metastasis vs. primary (n=15) and association with cancer survival (n=21) have been compiled in a user-friendly format from two open and/or publicly available databases Oncomine and OncoLnc for the 15 KLKs. The data have been included in a free web application tool: the KLK-CANMAP https://cancerbioinformatics.shinyapps.io/klk-canmap/. This tool integrates, analyses and visualises data and it was developed with the R Shiny framework. Using KLK-CANMAP box-plots, heatmaps and Kaplan-Meier graphs can be generated for the KLKs of interest. We believe this new cancer KLK focused web tool will benefit the KLK community by narrowing the data visualisation to only the genes of interest.


2019 ◽  
Vol 214 ◽  
pp. 01045
Author(s):  
Giacomo Cucciati

The Large Hadron Collider (LHC) at CERN in Geneva, Switzerland, has just completed the Run 2 era, colliding protons at a center-of-mass energy of 13 TeV at high instantaneous luminosity. The Compact Muon Solenoid (CMS) is a general-purpose particle detector experiment at the LHC. The CMS electromagnetic calorimeter (ECAL) has been designed to achieve excellent energy and position resolution for electrons and photons. A multi-machine distributed software configures the on-detector and off-detector electronic boards composing the ECAL data acquisition (DAQ) system and follows the life cycle of the acquisition process. Since the beginning of Run 2 in 2015, many improvements to the ECAL DAQ have been implemented to reduce and mitigate occasional errors in the front-end electronics and not only. Efforts at the software level have been made to introduce automatic recovery in case of errors. Automatic actions has made even more important the online monitoring of the DAQ boards status. For this purpose a new web application, EcalView, has been developed. It runs on a light Node.js JavaScript server framework. It is composed of several routines that cyclically collect the status of the electronics. It display the information when web requests are launched by client side graphical interfaces. For each board, detailed information can be loaded and presented in specific pages if requested by the expert. Server side routines store information regarding electronics errors in a SQLite database in order to perform offline analysis about the long term status of the boards.


2016 ◽  
Vol 78 (5-8) ◽  
Author(s):  
Junghoon Lee ◽  
Gyung-Leen Park

This paper designs and develops a real-time charger management system which keeps collecting the status information from chargers and converts control messages from the total operation center to a command predefined for charger control. RF cards complete the service chain from electric vehicles to the operation center, making the information flow bidirectional. The extended coverage of the operation control over the charging infrastructure allows an easy payment for the charging fee, based on the membership management and personalized services. A web application is implemented on the digital map of the target city for users to retrieve necessary information from the system and find the best service and chargers. The massive amount of real-time charger monitoring data is being accumulated in the database, and big data analysis will allow us to make intelligent plans for future smart grid city services. 


2020 ◽  
Vol 36 (10) ◽  
pp. 3246-3247
Author(s):  
Vaclav Brazda ◽  
Jan Kolomaznik ◽  
Jean-Louis Mergny ◽  
Jiri Stastny

Abstract Motivation G-quadruplexes (G4) are important regulatory non-B DNA structures with therapeutic potential. A tool for rational design of mutations leading to decreased propensity for G4 formation should be useful in studying G4 functions. Although tools exist for G4 prediction, no easily accessible tool for the rational design of G4 mutations has been available. Results We developed a web-based tool termed G4Killer that is based on the G4Hunter algorithm. This new tool is a platform-independent and user-friendly application to design mutations crippling G4 propensity in a parsimonious way (i.e., keeping the primary sequence as close as possible to the original one). The tool is integrated into our DNA analyzer server and allows for generating mutated DNA sequences having the desired lowered G4Hunter score with minimal mutation steps. Availability and implementation The G4Killer web tool can be accessed at: http://bioinformatics.ibp.cz. Supplementary information Supplementary data are available at Bioinformatics online.


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