scholarly journals Reaching an Established but Growing Network: Use-case from Canadensys

2019 ◽  
Vol 3 ◽  
Author(s):  
Carole Sinou ◽  
Anne Bruneau ◽  
Deborah L Paul ◽  
Mary Kennedy
Keyword(s):  
Use Case ◽  
Biodiversity Data ◽  
Canadian Universities ◽  
Capacity Enhancement ◽  
Data Usage ◽  
New Methods ◽  
The Usa ◽  
Important Challenge ◽  
Growing Network ◽  
New Framework

Canadensys is an associate GBIF node in Canada, officially established as a node in 2014, but publishing data on GBIF since 2011. Since then, Canadensys has grown from nine institutions to a network of nearly 25 institutions that publish biodiversity data and we have migrated from an in-house explorer, to a Living Atlases (LA) framework. Canadensys publishes data curated or collected by Canadian universities, museums, as well as municipalities and non govermental organizations (NGOs). Establishing a new network can be challenging, but several resources and programs exist to help node managers and node participants initiate the publication process. Keeping an established network alive while continuing to grow and to develop new methods and technologies is also an important challenge, especially in a context where institutions are geographically separated across large distances, and where funds are scarce or mostly oriented towards highly innovative projects. With the aim to reach both established and new participants across Canada and from adjacent regions in the USA, and in order to help them to familiarize themselves with the new framework based on LA, we organized three workshops on data publication and data usage. Partially funded through a GBIF CESP project, this series of workshops was developed in partnership with international, regional and national partners such as iDigBio, OBIS Canada and GBIF Spain. The workshops helped new participants prepare and publish data, and allowed established publishers to enrich and update their resources on Canadensys and GBIF. The project also highlighted some of the challenges our network is facing, such as funding, infrastructure, human resources, and communication. Feedback from participants shows that the workshops were successfull in terms of capacity enhancement, giving knowledge and tools to data manager in order to prepare and publish standardize data, as well as to transfer that knowledge in their respective institutions. All materials and documentation developed during this project will be made available on Canadensys, allowing everyone interested to follow the curriculum. Sharing our experience will be useful for other nodes wanting to introduce the LA framework to their users and to enhance capacities in the network.

scholarly journals Albanian Universities and e - Learning

2015 ◽  
Vol 4 (1) ◽  
pp. 157
Author(s):  
Luan Bekteshi
Keyword(s):  
Social Life ◽  
Education Sector ◽  
Access To Education ◽  
Mass Education ◽  
New Methods ◽  
The Social ◽  
Important Challenge ◽  
E Learning ◽  
The Government

Today’s society is undergoing great transformations in every sector. One of the most important transformations of the social life is the making of technology and internet available to masses. The technology and internet have also visibly transformed the education sector. The society is facing continuous challenges related to the competition, globalisation and the demand from the job market for qualified employees. These challenges go by side by side with the transformation of the education sector, where a great deal is being invested on the use of ICT, mass education, and the introduction of new methods and tools of teaching. The use of ICT and e-Learning is an important challenge faced by Albanian universities in the mission to improve the quality of teaching, students’ results, and mass education, and achieve the necessary standards. Priorities like equal access to education and lifelong learning would be only slogans without the use of ICT and e-Learning. Polls and interviews were conducted for this study, to obtain a view of the use of e-Learning and the approach to e-Learning in Albanian universities, and also of the government and universities policies. Conclusions of this study are obtained by processing data from questionnaires filled by lecturers in some of the main Albanian universities.

scholarly journals Phylogeny Based Biodiversity Data Queries

2018 ◽  
Vol 2 ◽  
pp. e25589
Author(s):  
Scott Chamberlain
Keyword(s):  
Research Work ◽  
Sister Group ◽  
Data Sources ◽  
Work Flow ◽  
Use Case ◽  
Biodiversity Data ◽  
R Software ◽  
Occurrence Data ◽  
Simple Query ◽  
The Ideal

There is a large amount of publicly available biodiversity data from many different data sources. When doing research, one ideally interacts with biodiversity data programmatically so their work is reproducible. The entry point to biodiversity data records is largely through taxonomic names, or common names in some cases (e.g., birds). However, many researchers have a phylogeny focused project, meaning taxonomic names are not the ideal interface to biodiversity data. Ideally, it would be simple to programmatically go from a phylogeny to biodiversity records through a phylogeny based query. I'll discuss a new project `phylodiv` (https://github.com/ropensci/phylodiv/) that attempts to facilitate phylogeny based biodiversity data collection (see Fig. 1). The project takes the form of an R software package. The idea is to make the user interface take essentially two inputs: a phylogeny and a phylogeny based question. Behind the scenes we'll do many things, including gathering taxonomic names and hierarchies for the taxa in the phylogeny, send queries to GBIF (or other data sources), and map the results. The user will of course have control over the behind the scenes parts, but I imagine the majority use case will be to input a phylogeny and a question and expect an answer back. We already have R tools to do nearly all parts of the work-flow shown above: there's a large number of phylogeny tools, `taxize`/`taxizedb` can handle taxonomic name collection, while `rgbif` can handle interaction with GBIF, and there's many mapping options in R. There are a few areas that need work still however. First, there's not yet a clear way to do a phylogeny based query. Ideally a user will be able to express a simple query like "taxon A vs. its sister group". That's simple to imagine, but to implement that in software is another thing. Second, users ideally would like answers back - in this case a map of occurrences - relatively quickly to be able to iterate on their research work-flow. The most likely solution to this will be to use GBIF's map tile service to visualize binned occurrence data, but we'll need to explore this in detail to make sure it works.

scholarly journals Convulsive syndrome in the post-vaccination period: is there a connection with the vaccine?

2021 ◽  
Vol 12 (5) ◽  
pp. 15-20
Author(s):  
E. P. Nacharova ◽  
S. M. Kharit ◽  
A. A. Ruleva
Keyword(s):  
Age Groups ◽  
Health Conditions ◽  
Post Vaccination ◽  
New Methods ◽  
Clinical Center ◽  
The Usa ◽  
The Russian Federation ◽  
The Relationship ◽  
Vaccination Period

The article describes the characteristics and classification of adverse events after immunization (AEFI) according to the latest WHO recommendations. The registration systems for AEFI in the USA and in Russia are described. Particular attention is paid to the interpretation of the convulsive syndrome that developed after vaccination. Four clinical cases of the development of convulsive syndrome in children hospitalized at the Pediatric Research and Clinical Center for Infectious Diseases of Russia (St. Petersburg) in the postvaccination period are presented. The criteria for differential diagnosis of the described diseases are indicated. Only a search for the etiology of the disease allows us to assess the relationship with vaccination, timely conduct adequate therapy and generate objective information on the safety of vaccines. There is a need to register all episodes of seizures after vaccination and introduce new methods for registering PPI, as well as creating a system of statistical accounting of background health conditions (convulsions, allergies) of the population of the Russian Federation of various age groups.

The Application of the Time Series Theory to Processing Data From the SBAS Receiver in Safety Mode

2012 ◽  
Author(s):  
M. Jonas
Keyword(s):  
Time Series ◽  
Statistical Tests ◽  
Point Of View ◽  
Garch Models ◽  
Autocorrelation Functions ◽  
Conditional Heteroscedasticity ◽  
New Methods ◽  
Processing Data ◽  
Wide Area Augmentation System ◽  
The Usa

Before satellite-based augmentation systems (SBAS) such as the Wide Area Augmentation System (WAAS) in the USA, and the European Geostationary Navigation Overlay Service (EGNOS), will be used in railway safety-related applications, it is necessary to determine reliability attributes of these systems as quality measures from the user’s point of view. It is necessary to find new methods of processing data from the SBAS system in accordance with strict railway standards. For this purposes data from the SBAS receiver with the Safety of Life Service was processed by means of the time series theory. At first, a basic statistic exploration analysis by means of histograms and boxplot graphs was done. Then correlation analysis by autocorrelation (ACF), and partial autocorrelation functions (PACF), was done. Statistical tests for the confirmation of non-stationarity, and conditional heteroscedasticity of time series were done. Engle’s ARCH test confirmed that conditional heteroscedasticity is contained. ARMA/GARCH models were constructed, and their residuals were analyzed. Autocorrelation functions and statistical tests of models residuals were done. The analysis implies that the models well cover the variance volatility of investigated time series and so it is possible to use the ARMA/GARCH models for the modeling of SBAS receiver outputs.

scholarly journals The importance of forestry and forest engineering: Past – present – future

2003 ◽  
Vol 79 (5) ◽  
pp. 876-881
Author(s):  
Gilbert G Paillé
Keyword(s):  
Federal Government ◽  
Forest Products ◽  
Forest Community ◽  
Forest Research ◽  
Forest Operations ◽  
Canadian Universities ◽  
Engineering Research ◽  
Research Activities ◽  
The Usa ◽  
Forest Engineering

Until 1900, Canada had no foresters involved in logging, practising forestry or doing research. Forest engineering as a discipline held no importance whatsoever. The forest was simply exploited for its timbers and most of the forest products were sold abroad. During the next 50 years, four Canadian universities opened forestry schools, some research activities were organized by the federal government, provincial governments, and industry. However, the importance of forest engineering did not grow much. Since 1950, however, the situation was turned around completely, as was the industry. While forest operations were completely mechanised everywhere in Canada with machines or concepts often developed in the USA or in Scandinavia, more forestry schools were opened, the federal government opened forest research laboratories, provincial governments acquired more expertise in this field, and forestry equipment manufacturers did considerable development work. A national forest engineering research institute was even created. In the future, the forest community will have to team up to raise the profile of forest engineering. Key words: co-operation, forest engineering, forestry, forestry education, forestry research, sustainable management

scholarly journals Talent Management Programmes at British, American and Canadian Universities: Comparative Study

2015 ◽  
Vol 5 (4) ◽  
pp. 68-72 ◽  
Author(s):  
Maryna Boichenko
Keyword(s):  
Higher Education ◽  
Great Britain ◽  
Human Resources ◽  
Higher Education Institutions ◽  
Talent Development ◽  
Talent Management ◽  
Canadian Universities ◽  
Business Operation ◽  
American Higher Education ◽  
The Usa

Abstract The article deals with the peculiarities of talent management programmes implementation at the top British, American and Canadian universities. The essence of the main concepts of research - talent and talent management - has been revealed. Talent management is referred to as the systematic attraction, identification, development, engagement, retention and deployment of those individuals who are of particular value to an organization, either in view of their “high potential” for the future or because they are fulfilling business/ operation-critical roles. The factors that drive the development of talent management at the universities have been defined. The benefits that can be obtained as a result of talent management programmes implementation in higher education institutions have been pointed out. The differences in talent management programmes implementation at the universities of Great Britain, the USA and Canada have been found out. These differences depend mainly on the human resources policy of the institution represented in its strategic plan. It has been concluded that most top British and American higher education institutions run talent development programmes, but the target categories and forms of their implementation greatly differ. Canadian universities in the human resources policy focus on professional development of staff and faculty, but do not have special talent management programmes. Progressive conceptual ideas of foreign experience that can be used in practice of Ukrainian universities have been considered.

Drug poisoning management using smartphones: an apps review study based on use case classification model

2020 ◽  
Vol 6 (4) ◽  
pp. 246-251
Author(s):  
Sadrieh Hajesmaeel Gohari ◽  
Kambiz Bahaadinbeigy ◽  
Shahrad Tajoddini ◽  
Sharareh R Niakan Kalhori
Keyword(s):  
Use Cases ◽  
Classification Model ◽  
Use Case ◽  
Smartphone Apps ◽  
Drug Poisoning ◽  
Efficient Management ◽  
The Usa ◽  
Google Play ◽  
Case Classification

Drug poisoning is the most common form of poisoning in the world. Timely and efficient management of this form of poisoning may save the life of many patients. Today, smartphone apps are widely used for various utilisations, such as for medical purposes. This study aimed to review the crucial characteristics of Android and iOS apps for drug poisoning management and categorise them by the use case classification model. Google Play and App Store were searched in December 2018 for drug poisoning apps using the keywords toxicology, poisoning, drug poisoning and drug toxicities, and resulted in 551 smartphone apps. The 17 final apps were evaluated based on the following items: platform, cost, date of update, country, app target, target group, rating and developer. The results showed that 64.7% of apps were available on both platforms and 53% were free to download. Majority of the apps (53%) were designed for medical staff and 47% were developed in the USA. In 47% of the apps, users rated a score above 4 for apps evaluation, and in 47% the last update was 1 year ago. Nine distinct use cases from the published use case classification model were found in 17 apps. The results of this study can help users select and use a reliable app for management of drug poisoning. The results also showed that 22 use cases of the 31 introduced were not considered in the development of the apps. Application of these use cases may improve the quality of drug poisoning management apps.

Report on New Methods for Representing and Interacting with Qualitative Geographic Information, Stage 2: Task Group 3: Social-focused Use Case

2014 ◽  
Author(s):  
Alan M. MacEachren ◽  
Alexander Savelyev ◽  
Scott Pezanowski ◽  
Anthony C. Robinson ◽  
Prasenjit Mitra
Keyword(s):  
Geographic Information ◽  
Task Group ◽  
Use Case ◽  
New Methods ◽  
Group 3

Exploring sensor data for agricultural statistics: The fruit is not hanging as low as we thought

2021 ◽  
pp. 1-14
Author(s):  
Ger Snijkers ◽  
Tim Punt ◽  
Sofie De Broe ◽  
José Gómez Pérez
Keyword(s):  
Business Processes ◽  
Current Data ◽  
Data Driven ◽  
Sensor Data ◽  
Small Scale ◽  
Use Case ◽  
New Methods ◽  
New Business ◽  
Data Source ◽  
Selection Of

New business processes are increasingly data driven as sensors have become ubiquitous. Sensor data could be a valuable new data source for official statistics. To study this presumption Statistics Netherlands conducted a small-scale use case in the area of agricultural statistics in collaboration with an innovative farmer. A selection of his sensor data was explored for overlap with current data demands in surveys. The aim of the study was to obtain insights in the available agricultural data, their data structure and quality, and explore new methods of data collection for agricultural statistics. The conclusion is that these data are valuable for replacing or pre-filling (parts of) certain agricultural surveys. However, many more challenges surfaced than we expected, to which the title of this paper refers. These challenges will be discussed in this paper.

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