scholarly journals MIKB: A Manually Curated and Comprehensive Knowledge Base for Myocardial Infarction

2021 ◽  
Author(s):  
Chaoying Zhan ◽  
Yingbo Zhang ◽  
Xingyun Liu ◽  
Rongrong Wu ◽  
Ke Zhang ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Knowledge Base ◽  
Comprehensive Knowledge

scholarly journals CitrusKB: a comprehensive knowledge base for transcriptome and interactome of Citrus spp. infected by Xanthomonas citri subsp. citri at different infection stages

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Adriano Ferrasa ◽  
Mayara M Murata ◽  
Teresa D C G Cofre ◽  
Juliana S Cavallini ◽  
Gustavo Peron ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Citrus Canker ◽  
Limited Information ◽  
Xanthomonas Citri ◽  
Comprehensive Knowledge ◽  
Genetic Mechanisms ◽  
Serious Disease ◽  
Canker Development ◽  
User Friendly

Abstract Citrus canker type A is a serious disease caused by Xanthomonas citri subsp. citri (X. citri), which is responsible for severe losses to growers and to the citrus industry worldwide. To date, no canker-resistant citrus genotypes are available, and there is limited information regarding the molecular and genetic mechanisms involved in the early stages of the citrus canker development. Here, we present the CitrusKB knowledge base. This is the first in vivo interactome database for different citrus cultivars, and it was produced to provide a valuable resource of information on citrus and their interaction with the citrus canker bacterium X. citri. CitrusKB provides tools for a user-friendly web interface to let users search and analyse a large amount of information regarding eight citrus cultivars with distinct levels of susceptibility to the disease, with controls and infected plants at different stages of infection by the citrus canker bacterium X. citri. Currently, CitrusKB comprises a reference citrus genome and its transcriptome, expressed transcripts, pseudogenes and predicted genomic variations (SNPs and SSRs). The updating process will continue over time by the incorporation of novel annotations and analysis tools. We expect that CitrusKB may substantially contribute to the field of citrus genomics. CitrusKB is accessible at http://bioinfo.deinfo.uepg.br/citrus. Users can download all the generated raw sequences and generated datasets by this study from the CitrusKB website.

Definitional, Parametric, and Procedural Considerations in Timeout Interventions and Research

1984 ◽  
Vol 51 (4) ◽  
pp. 279-288 ◽  
Author(s):  
Karen R. Harris
Keyword(s):  
Knowledge Base ◽  
Future Research ◽  
Conceptual Basis ◽  
Exceptional Students ◽  
Contextual Variables ◽  
Comprehensive Knowledge

This article reviews definitional, parametric, and procedural issues which must be considered to optimize the effectiveness of timeout, an intervention frequently used with exceptional students. The conceptual basis of timeout is explained as a meaningful discrepancy between the timein and timeout environments, and five general types of timeout are delineated: (a) isolation timeout, (b) exclusion timeout, (c) contingent observation, (d) removal of reinforcing stimulus conditions, and (e) ignoring the student. The results of parametric and comparative investigations involving these five types of timeout are reviewed. However, a comprehensive knowledge base concerning timeout has yet to be established. Thus, directions for future research and the need for systematic studies are noted. Procedural considerations, including preconditions, contextual variables, concurrent interventions, and evaluation of timeout, are then discussed.

scholarly journals Crowdsourcing for Creating a Dataset for Training a Medication Chatbot

2021 ◽  
Author(s):  
Cyril R. Zgraggen ◽  
Sebastian B. Kunz ◽  
Kerstin Denecke
Keyword(s):  
Knowledge Base ◽  
Mobile Health ◽  
Information Needs ◽  
Comprehensive Knowledge ◽  
Mobile Health Applications ◽  
Health Applications ◽  
User Queries

To facilitate interaction with mobile health applications, chatbots are increasingly used. They realize the interaction as a dialog where users can ask questions and get answers from the chatbot. A big challenge is to create a comprehensive knowledge base comprising patterns and rules for representing possible user queries the chatbot has to understand and interpret. In this work, we assess how crowdsourcing can be used for generating examples of possible user queries for a medication chatbot. Within one week, the crowdworker generated 2‘738 user questions. The examples provide a large variety of possible formulations and information needs. As a next step, these examples for user queries will be used to train our medication chatbot.

Assessing the Control Literature: Looking Back and Looking Forward

2020 ◽  
Vol 7 (1) ◽  
pp. 339-368
Author(s):  
Sim B. Sitkin ◽  
Chris P. Long ◽  
Laura B. Cardinal
Keyword(s):  
Knowledge Base ◽  
Control Systems ◽  
Control Mechanisms ◽  
Organizational Life ◽  
Comprehensive Knowledge ◽  
New Directions ◽  
Control Research ◽  
Comprehensive Picture ◽  
And Control ◽  
Looking Back

This review provides a comprehensive picture of the range of control influences in organizations. We begin by describing and labeling the various types of control mechanisms and control systems examined in the literature. We then identify several issues in the control literature that are currently compromising scholars’ capacities to develop a full, complete, and comprehensive knowledge base about control dynamics. Theorists have been constrained by frameworks that present important but relatively limited pictures of how individuals experience, comprehend, address, and attend to the potentially wide array of control influences they encounter. We use these observations to propose new directions for control research that will help scholars develop richer and more complete but also more nuanced understandings of how individuals experience and engage the various forms of control they encounter in organizational life.

An Intelligent Resource Manager Over Terrorism Knowledge Base

2020 ◽  
Vol 13 (3) ◽  
pp. 394-405 ◽  
Author(s):  
Archana Patel ◽  
Abhisek Sharma ◽  
Sarika Jain
Keyword(s):  
Knowledge Base ◽  
Situation Awareness ◽  
Fire Department ◽  
Government Officials ◽  
Resource Manager ◽  
Emergency Personnel ◽  
Comprehensive Knowledge ◽  
Managerial Implications ◽  
The Government ◽  
The Military

: The complex and chaotic crisis created by terrorism demands for situation awareness which is possible with the proposed Indian Terrorism Knowledge Treasure (ITKT). Objective: This work is an effort at creating the largest comprehensive knowledge base of terrorism and related activities, people and agencies involved, and extremist movements; and providing a platform to the society, the government and the military personnel in order to combat the evolving threat of the global menace terrorism. Methods: For representing knowledge of the domain semantically, an ontology has been used in order to better integrate data and information from multiple heterogeneous sources. An Indian Terrorism Knowledge Base is created consisting of information about past terrorist attacks, actions taken at time of those attacks, available resources and more. An Indian Terrorism Resource Manager is conceived comprising of various use cases catering to searching a specified keyword for its description, navigating the complete knowledge base of Indian Terrorism and finding any answers to any type of queries pertaining to terrorism. Results: The managerial implications of this work are two-fold. All the involved parties, i.e., the government officials, military, police, emergency personnel, fire department, NGOs, media, public etc will be better informed in case of emergency and will be able to communicate with each other; hence improving situation awareness and providing decision support.

DeepDepict

2021 ◽  
Vol 15 (5) ◽  
pp. 1-16
Author(s):  
Shaoyang Hao ◽  
Bin Guo ◽  
Hao Wang ◽  
Yunji Liang ◽  
Lina Yao ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Heterogeneous Data ◽  
Experimental Results ◽  
Labor Costs ◽  
Time Consumption ◽  
Descriptive Information ◽  
Generic Framework ◽  
Comprehensive Knowledge ◽  
Public Dataset ◽  
Purchase Behaviors

In e-commerce platforms, the online descriptive information of products shows significant impacts on the purchase behaviors. To attract potential buyers for product promotion, numerous workers are employed to write the impressive product descriptions. The hand-crafted product descriptions are less-efficient with great labor costs and huge time consumption. Meanwhile, the generated product descriptions do not take consideration into the customization and the diversity to meet users’ interests. To address these problems, we propose one generic framework, namely DeepDepict, to automatically generate the information-rich and personalized product descriptive information. Specifically, DeepDepict leverages the graph attention to retrieve the product-related knowledge from external knowledge base to enrich the diversity of products, constructs the personalized lexicon to capture the linguistic traits of individuals for the personalization of product descriptions, and utilizes multiple pointer-generator network to fuse heterogeneous data from multi-sources to generate informative and personalized product descriptions. We conduct intensive experiments on one public dataset. The experimental results show that DeepDepict outperforms existing solutions in terms of description diversity, BLEU, and personalized degree with significant margin gain, and is able to generate product descriptions with comprehensive knowledge and personalized linguistic traits.

scholarly journals Oleogels—Their Applicability and Methods of Characterization

Molecules ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 1673
Author(s):  
Eckhard Flöter ◽  
Till Wettlaufer ◽  
Valentina Conty ◽  
Maria Scharfe
Keyword(s):  
Knowledge Base ◽  
Binding Capacity ◽  
Current Method ◽  
Solubility Data ◽  
Product Innovations ◽  
Laboratory Bench ◽  
Comprehensive Knowledge ◽  
Technology Area ◽  
Oil Binding

Oleogels or, more precisely, non-triglyceride structured lipid phases have been researched excessively in the last decade. Yet, no comprehensive knowledge base has emerged, allowing technology elevation from the laboratory bench into the industrial food application. That is partly due to insufficient characterization of the structuring systems studied. Examining a single composition decided upon by arbitrary methods does not stimulate progress in the research and technology area. A framework that gives much better guidance to product applications can easily be derived. For example, the incremental structure contribution concept is advocated as a parameter to compare the potency of structuring systems. These can straightforwardly be determined by combining solubility data and structural measurements in the recommended manner. The current method to determine the oil-binding capacity suffers from reproducibility and relevance. A newly developed method is suggested to overcome these shortcomings. The recommended new characterization of oleogels should contribute to a more comprehensive knowledge base necessary for product innovations.

scholarly journals A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation

2019 ◽  
Author(s):  
Keivan Moradi ◽  
Giorgio A. Ascoli
Keyword(s):  
Knowledge Base ◽  
Hippocampal Neurons ◽  
Large Scale ◽  
Hippocampal Formation ◽  
Neural System ◽  
Liquid Junction ◽  
Comprehensive Knowledge ◽  
General Rules ◽  
The Difference ◽  
Machine Readable

AbstractThe cellular and synaptic architecture of the rodent hippocampus has been described in thousands of peer-reviewed publications. However, no human- or machine-readable public catalog of synaptic electrophysiology data exists for this or any other neural system. Harnessing state of the art information technology, we have developed a cloud-based toolset for identifying empirical evidence from the scientific literature pertaining to synaptic electrophysiology, for extracting the experimental data of interest, and for linking each entry to relevant text or figure excerpts. Mining more than 1,200 published journal articles, we have identified eight different signal modalities quantified by 68 different methods to measure synaptic amplitude, kinetics, and plasticity in hippocampal neurons. We have designed a data structure that both reflects these variabilities and maintains the existing relations among experimental modalities. Moreover, we mapped every annotated experiment to identified “synapse types,” i.e. specific pairs of presynaptic and postsynaptic neuron types. To this aim, we leveraged Hippocampome.org, an open-access knowledge base of morphologically, electrophysiologically, and molecularly characterized neuron types in the rodent hippocampal formation. Specifically, we have implemented a computational pipeline to systematically translate neuron type properties into formal queries in order to find all compatible synapse types. With this system, we have collected nearly 40,000 synaptic data entities covering 88% of the 3,120 potential connections in Hippocampome.org. Correcting membrane potentials with respect to liquid junction potentials significantly reduced the difference between theoretical and experimental reversal potentials, thereby enabling the accurate conversion of all synaptic amplitudes to conductance. This dataset allows for large-scale hypothesis testing of the general rules governing synaptic signals. To illustrate these applications, we confirmed several expected correlations between synaptic measurements and their covariates while suggesting previously unreported ones. We release all data open source at Hippocampome.org in order to further research across disciplines.

An empirical examination of Wikipedia's credibility

First Monday ◽  
2006 ◽  
Author(s):  
Thomas Chesney
Keyword(s):  
Knowledge Base ◽  
General Public ◽  
Response Rate ◽  
Personal Knowledge ◽  
Research Staff ◽  
Empirical Examination ◽  
Perceived Credibility ◽  
Comprehensive Knowledge ◽  
Over Time ◽  
Destructive Methods

Wikipedia is an free, online encyclopaedia which anyone can add content to or edit the existing content of. The idea behind Wikipedia is that members of the general public can add their own personal knowledge, anonymously if they wish. Wikipedia then evolves over time into a comprehensive knowledge base on all things. Its popularity has never been questioned, although its authority has. By its own admission, Wikipedia contains errors. A number of people have tested Wikipedia’s accuracy using destructive methods, i.e. deliberately inserting errors. This has been criticised by Wikipedia. This short study examines Wikipedia’s credibility by asking 258 research staff with a response rate of 21 percent, to read an article and assess its credibility, the credibility of its author and the credibility of Wikipedia as a whole. Staff were either given an article in their own expert domain or a random article. No difference was found between the two group in terms of their perceived credibility of Wikipedia or of the articles’ authors, but a difference was found in the credibility of the articles — the experts found Wikipedia’s articles to be more credible than the non–experts. This suggests that the accuracy of Wikipedia is high. However, the results should not be seen as support for Wikipedia as a totally reliable resource as, according to the experts, 13 percent of the articles contain mistakes.

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