scholarly journals Information sources utilized by Vermont foodservice businesses during the onset of the COVID-19 pandemic

2021 ◽  
pp. 1-4
Author(s):  
Henry Blair ◽  
David Conner ◽  
Naomi Cunningham ◽  
Jessica Krueger ◽  
Claire Whitehouse
Keyword(s):  
Comparative Analysis ◽  
Research Team ◽  
Information Sources ◽  
Support Systems ◽  
Business Strategies ◽  
Food Hubs ◽  
Informal Information

Our research team interviewed owners or managers (n ­=10) of commercial (restaurants, caterers, food hubs) and institutional (schools, hospitals) foodservice businesses in Vermont in the summer and fall of 2020 to gather information about their experiences and response to the COVID-19 pandemic. This article discusses the information sources they utilized to make decisions about operating procedures and business strategies as the pandemic unfolded. Though this is not a comparative analysis to other states, Vermont had strong networks and support systems in place before the onset of COVID-19 that were poised to respond quickly as events unfolded. In addition, these interviews highlighted the importance of both formal and informal information sources, which filled different niches in the information ecosystem.

Diagnostic Support Systems and Computational Intelligence

2012 ◽  
pp. 1374-1388
Author(s):  
Stavroula Mougiakakou ◽  
Ioannis Valavanis ◽  
Alexandra Nikita ◽  
Konstantina S. Nikita
Keyword(s):  
Computational Intelligence ◽  
Research Team ◽  
Support Systems ◽  
Ct Images ◽  
Focal Liver Lesions ◽  
Liver Lesions ◽  
Enhanced Ct ◽  
Hepatic Lesions ◽  
Computational Intelligence Methods ◽  
Diagnostic Support

Recent advances in computer science provide the intelligent computation tools needed to design and develop Diagnostic Support Systems (DSSs) that promise to increase the efficiency of physicians during their clinical practice. This chapter provides a brief overview of the use of computational intelligence methods in the design and development of DSSs aimed at the differential diagnosis of hepatic lesions from Computed Tomography (CT) images. Furthermore, examples of DSSs developed by our research team for supporting the diagnosis of focal liver lesions from non-enhanced CT images are presented.

scholarly journals Setting Up and Implementation of the Parallel Computing Cluster in Higher Education

2019 ◽  
Vol 14 (06) ◽  
pp. 4 ◽  
Author(s):  
Meruert Serik ◽  
Nursaule Karelkhan ◽  
Jaroslav Kultan ◽  
Zhandos Zulpykhar
Keyword(s):  
Higher Education ◽  
Parallel Computing ◽  
Comparative Analysis ◽  
Teaching And Learning ◽  
Information Sources ◽  
Matrix Multiplication ◽  
The Subject ◽  
The Creation ◽  
Computing Cluster

In this article, we describe in detail the setting up and implementation of the parallel computing cluster for education in the Matlab environment and how we solved the problems arising on this way. We also describe the comparative analysis of parallel computing cluster by the example of matrix multiplication by a vector with large dimensions. First calculations were performed on one computer, and then on a parallel computing cluster. In the experiment, we proved the effectiveness of parallel computing and the necessity of the setting up of the parallel computing cluster. We hope that the creation of a parallel computing cluster for education will help in teaching the subject of parallel computing at higher schools that do not have sufficient hardware resources. This paper presents unique setting up and implementation of the parallel computing cluster for teaching and learning of the parallel computing course and a wide variety of information sources from which instructors can choose.

A theoretical analysis of independent business owners' preferences for informal information sources

2020 ◽  
Vol 57 (1) ◽  
Author(s):  
Joel Chan ◽  
Jonathan Brier ◽  
Zahra Farhadi ◽  
Myeong Lee ◽  
Shawn Janzen ◽  
...  
Keyword(s):  
Theoretical Analysis ◽  
Information Sources ◽  
Business Owners ◽  
Informal Information

The Culture of Credit in Eighteenth-Century Commerce: The English Textile Industry

2003 ◽  
Vol 4 (2) ◽  
pp. 299-325 ◽  
Author(s):  
John Smail
Keyword(s):  
Eighteenth Century ◽  
Comparative Analysis ◽  
Economic Analysis ◽  
Textile Industry ◽  
Business Strategies ◽  
Cultural Dimension ◽  
Wool Textile ◽  
Narrow Focus ◽  
Different Cultures

In this article, I seek to expand the relatively narrow focus of most work on commercial credit in eighteenth-century England by incorporating culture into an economic analysis. I argue that the various credit regimes that operated in the regional branches of the English wool textile industry are best understood as having a cultural dimension. A comparative analysis of business strategies in these regions suggests that the different cultures of credit had important implications for the development of the textile industry during the eighteenth century, shaping the character of the entrepreneurship of each region's merchants and producers.

Students' Formal and Informal Information Sources

2019 ◽  
pp. 209-232
Author(s):  
Corinna Petra Raith
Keyword(s):  
Information Sources ◽  
Interview Study ◽  
User Generated Content ◽  
Academic Learning ◽  
Usage Behavior ◽  
Question And Answer ◽  
Informal Information ◽  
Preparation Work

Based on an explorative interview study, this chapter reports on students' usage behavior concerning formal and informal information sources for academic (learning) purposes. In this regard, a variety of information sources was reported, ranging from scholarly materials to applications based on user-generated content like Wikipedia, Facebook, YouTube, blogs, forums, and question-and-answer sites. The findings showed that students' acceptance of information sources varied with an increase in the academic age: the more experienced students were, the more focused their choice of information sources was. Bachelor students utilized diverse sources, while doctoral and PhD students mainly concentrated on scholarly materials and news articles, but used Wikipedia, YouTube, and blogs as well. Regarding such informal sources, bachelor students mainly consulted these for learning purposes, while doctoral/PhD students primarily utilized them for checking up/acquiring information and their preparation work. The results are preliminary in their nature and are to be validated in further research.

scholarly journals Application of Apriori Algorithm Method in Sales Analysis of Mountain Bag Brands in Post Stores 1

2020 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Agus Salim ◽  
Mochammad Nizar
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Young People ◽  
Decision Support Systems ◽  
Support Systems ◽  
A Priori ◽  
Business Strategies ◽  
Apriori Algorithm ◽  
Research Material ◽  
Sports Shoes

Nowadays, climbing mountains has become a lifestyle for young people. Outdoor industries that produceclothing, bags and sports shoes participate in developing and following the desires of the market. Eachcompany in producing its products has a special brand. Shop Pos 1 is one of the shops that sell variousclimbing equipment commonly used by climbers to climb mountains. In addition, Pos 1 stores also find itdifficult to get updated information about the level of sales per period. Therefore, we need a decision support systems and methods that can be used to determine business strategies that can provide efficientand effective information, namely data mining using a priori technology association methods. The authorchooses mountain bag products only as research material by selecting brands, completing Avtech, Consina,Co-tracks, Cozmed, Eiger, Forester, Rei, Loss. In analyzing the data, the writer uses a priori algorithmcalculation by testing the hypothesis of two variables between the value of support and the value of trust.After that, a priori algorithm is calculated using Tanagra. Based on analysis conducted by the author, theoperator most preferred by climbers is Avtech, Consina, Cozmed. From these results, it can be used by Pos 1to prepare brand inventory of mountain bag products that are widely bought by buyers and increasebrand inventory.Keywords: Bag Brand, Data Mining, apriori algorithm.

scholarly journals Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary

2016 ◽  
Vol 10 (2) ◽  
pp. 53-62 ◽  
Author(s):  
Loránd Szabó ◽  
Márton Deák ◽  
Szilárd Szabó
Keyword(s):  
Comparative Analysis ◽  
Land Cover ◽  
Satellite Images ◽  
Information Sources ◽  
Landsat 8 ◽  
Accurate Data ◽  
Maximum Likelihood Algorithm ◽  
Landsat 7 ◽  
Change Monitoring ◽  
Training Area

Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area using the Maximum Likelihood algorithm and used segmentation techniques for training area selection. We validated the results of all sensors to reveal which one produced the most accurate data. According to our study Landsat 8’s OLI performed the best (96.9%) followed by TM on Landsat 5 (96.2%) and ALI on EO-1 (94.8%) while Landsat 7’s ETM+ had the worst accuracy (86.3%).

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