scholarly journals Corrigendum: Target Uncertainty During Motor Decision-Making: The Time Course of Movement Variability Reveals the Effect of Different Sources of Uncertainty on the Control of Reaching Movements

2019 ◽  
Vol 10 ◽  
Author(s):  
Melanie Krüger ◽  
Joachim Hermsdörfer
Keyword(s):  
Decision Making ◽  
Time Course ◽  
Reaching Movements ◽  
Movement Variability ◽  
Target Uncertainty ◽  
Sources Of Uncertainty ◽  
Different Sources

Multi-Organisational Decision Processes in the Planned Expansion of Towns

1970 ◽  
Vol 2 (1) ◽  
pp. 33-54 ◽  
Author(s):  
J.K. Friend ◽  
J.M.H. Hunter
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Decision Processes ◽  
Government Agencies ◽  
Sources Of Uncertainty ◽  
Different Sources

The concept of the ‘multi-organisation’ is used to obtain a clearer view of the problems of decision-making in one field of public planning where the pattern of organisational responsibilities is exceptionally diffuse: that relating to the planned expansion of towns to channel the pressures for change within a region. Four basic types of multi-organisational activity are identified, concerned with the redistribution of population and employment within a region, the negotiation of local agreements, the coordination of local operations, and the coordination of external authorisations by different government agencies. Some of the main characteristics of these four activities are identified, and it is argued that a basis for predicting the effectiveness of alternative organisational patterns can be developed through the analysis of different sources of uncertainty as perceived by those actually involved in the decision process.

scholarly journals Hydrolysis Activity of Virgin Coconut Oil Using Lipase from Different Sources

Scientifica ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
T. A. V. Nguyen ◽  
Truong D. Le ◽  
Hoa N. Phan ◽  
Lam B. Tran
Keyword(s):  
Time Course ◽  
Candida Rugosa ◽  
Coconut Oil ◽  
Virgin Coconut Oil ◽  
Porcine Pancreas ◽  
Hydrolysis Degree ◽  
Porcine Pancreas Lipase ◽  
Hydrolysis Process ◽  
Hydrolysis Of ◽  
Different Sources

Two types of lipase, Candida rugosa lipase (CRL) and porcine pancreas lipase (PPL), were used to hydrolyze virgin coconut oil (VCO). The hydrolysis process was carried out under four parameters, VCO to buffer ratio, lipase concentration, pH, and temperature, which have a significant effect on hydrolysis of lipase. CRL obtained the best hydrolysis condition at 1 : 5 of VCO to buffer ratio, 1.5% of CRL concentration, pH 7, and temperature of 40°C. Meanwhile, PPL gave different results at 1 : 4 of VCO to buffer ratio, 2% of lipase concentration, pH 7.5, and 40°C. The highest hydrolysis degree of CRL and PPL was obtained after 16 hours and 26 hours, reaching 79.64% and 27.94%, respectively. Besides, the hydrolysis process was controlled at different time course (every half an hour) at the first 4 hours of reaction to compare the initial hydrolysis degree of these two lipase types. FFAs from hydrolyzed products were isolated and determined the percentage of each fatty acid which contributes to the FFAs mixture. As a result, medium chain fatty acids (MCFAs) made up the main contribution in composition of FFAs and lauric acid (C12) was the largest segment (47.23% for CRL and 44.23% for PPL).

scholarly journals 23 Science and the International Regulation of Marine Pollution

2015 ◽  
Author(s):  
Kirk Elizabeth A
Keyword(s):  
Decision Making ◽  
Historical Development ◽  
Final Section ◽  
Marine Pollution ◽  
Management Approach ◽  
International Regulation ◽  
Sources Of Pollution ◽  
Similarities And Differences ◽  
Different Sources

This chapter considers the approaches taken by international regimes to address marine pollution. It identifies similarities and differences in approaches across time and different sources of pollution, the degree to which they follow an adaptive management approach, and the role of science in decision-making. It begins with an overview of the historical development of the law. It then discusses the current regime, covering general obligations and certain source-specific obligations. The final section contains conclusions and a discussion of current and future issues.

A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains

2021 ◽  
Author(s):  
Gabrielle Gauthier Melançon ◽  
Philippe Grangier ◽  
Eric Prescott-Gagnon ◽  
Emmanuel Sabourin ◽  
Louis-Martin Rousseau
Keyword(s):  
Machine Learning ◽  
Supply Chain ◽  
Service Level ◽  
Learning System ◽  
Safety Stock ◽  
Service Levels ◽  
Sources Of Uncertainty ◽  
Supply Chain Efficiency ◽  
Percentage Points ◽  
Different Sources

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets, owing to different sources of uncertainty and risks. These risks, such as drastic changes in demand, machine failures, or systems not properly configured, can lead to planning or execution issues in the supply chain. It is too expensive to have planners continually track all situations at a granular level to ensure that no deviations or configuration problems occur. We present a machine learning system that predicts service-level failures a few weeks in advance and alerts the planners. The system includes a user interface that explains the alerts and helps to identify failure fixes. We conducted this research in cooperation with Michelin. Through experiments carried out over the course of four phases, we confirmed that machine learning can help predict service-level failures. In our last experiment, planners were able to use these predictions to make adjustments on tires for which failures were predicted, resulting in an improvement in the service level of 10 percentage points. Additionally, the system enabled planners to identify recurrent issues in their supply chain, such as safety-stock computation problems, impacting the overall supply chain efficiency. The proposed system showcases the importance of reducing the silos in supply chain management.

Geographic Marketing in Support of Decision-Making Processes

2020 ◽  
pp. 103-115
Author(s):  
Maria Fernanda Augusto
Keyword(s):  
Decision Making ◽  
Geographic Information ◽  
Essential Elements ◽  
Added Value ◽  
Key Factors ◽  
Digital Maps ◽  
Decision Making Processes ◽  
Growth Prospects ◽  
Definition Of ◽  
Different Sources

Nowadays, geographic information and spatial aspects are essential elements for the definition of companies' strategies. With the use of different sources data, companies were able to obtain insights that they could not obtain without the spatial component and were able to use them to optimize their business. Then, geographic marketing presents itself as an added value for companies, one of the key factors being its role in supporting decision making. The main attributes of geographic marketing or GeoMarketing allow us to identify and present through digital maps the behavior and trends of certain variables based on characteristics of a market. The meticulous study of spatial and demographic information generated by GeoMarketing are crucial for important strategic adjustments in the business plan, such as definitions related to the location considered ideal for the business, target audience, price and growth prospects, among other factors. In this context, GeoMarketing will be introduced, exploring its scope, applicability, and relevance of its use in support of the decision-making process.

Big Data in Business

2021 ◽  
pp. 235-249
Author(s):  
Farid Huseynov
Keyword(s):  
Decision Making ◽  
Big Data ◽  
New Products ◽  
Critical Role ◽  
Digital Data ◽  
Business Decisions ◽  
Business Operations ◽  
Operational Costs ◽  
Big Data Technologies ◽  
Different Sources

The term “big data” refers to the very large and diverse sets of structured, semi-structured, and unstructured digital data from different sources that accumulate and grow very rapidly on a continuous basis. Big data enables enhanced decision-making in various types of businesses. Through these technologies, businesses are able to cut operational costs, digitally transform business operations to be more efficient and effective, and make more informed business decisions. Big data technologies enable businesses to better understand their markets by uncovering hidden patterns behind consumer behaviors and introduce new products and services accordingly. This chapter shows the critical role that big data plays in businesses. Initially, in this chapter, big data and its underlying technologies are explained. Later, this chapter discusses how big data digitally transforms critical business operations for enhanced decision-making and superior customer experience. Finally, this chapter ends with the possible challenges of big data for businesses and possible solutions to these challenges.

scholarly journals International Student Recruitment Strategies in Finland and China

2019 ◽  
Vol 3 (4) ◽  
pp. 1-17
Author(s):  
Suvi Jokila
Keyword(s):  
Decision Making ◽  
International Students ◽  
Study Abroad ◽  
International Student ◽  
Recruitment Strategies ◽  
Sources Of Information ◽  
International Student Recruitment ◽  
Decision Making Processes ◽  
Private Actors ◽  
Different Sources

The recruitment of international students has become a global phenomenon. Prospective candidates planning to study abroad rely on different sources of information in their decision-making processes, provided by different national, institutional and private actors. Thus, more analysis of the mediators facilitating this encounter of recruiters and students is needed. This study analyses how study choices in Finland and China are constructed by analysing the embeddedness of national recruitment strategies in websites, the construction of study choices as capitals and the trust-building devices (dispositifs) employed in the websites. Data consist of textual material from four websites representing educational offerings in Finland and China, targeted for international students searching for information in their study-abroad decision-making. This study puts forward three arguments. First, the analysed websites reflect the national strategies on the recruitment of international students; however, the approaches the websites use vary greatly. Second, websites construct expectations that build on a holistic study-abroad experience. Third, non-governmental websites employ commercially oriented dispositifs to distinguish or affirm choices.

scholarly journals Accounting for three sources of uncertainty in ensemble hydrological forecasting

2016 ◽  
Vol 20 (5) ◽  
pp. 1809-1825 ◽  
Author(s):  
Antoine Thiboult ◽  
François Anctil ◽  
Marie-Amélie Boucher
Keyword(s):  
Ensemble Kalman Filter ◽  
Lead Time ◽  
Initial Conditions ◽  
Forecast Horizon ◽  
Meteorological Forcing ◽  
Total Uncertainty ◽  
Sources Of Uncertainty ◽  
Forecasting Performance ◽  
Respective Contribution ◽  
Different Sources

Abstract. Seeking more accuracy and reliability, the hydrometeorological community has developed several tools to decipher the different sources of uncertainty in relevant modeling processes. Among them, the ensemble Kalman filter (EnKF), multimodel approaches and meteorological ensemble forecasting proved to have the capability to improve upon deterministic hydrological forecast. This study aims to untangle the sources of uncertainty by studying the combination of these tools and assessing their respective contribution to the overall forecast quality. Each of these components is able to capture a certain aspect of the total uncertainty and improve the forecast at different stages in the forecasting process by using different means. Their combination outperforms any of the tools used solely. The EnKF is shown to contribute largely to the ensemble accuracy and dispersion, indicating that the initial conditions uncertainty is dominant. However, it fails to maintain the required dispersion throughout the entire forecast horizon and needs to be supported by a multimodel approach to take into account structural uncertainty. Moreover, the multimodel approach contributes to improving the general forecasting performance and prevents this performance from falling into the model selection pitfall since models differ strongly in their ability. Finally, the use of probabilistic meteorological forcing was found to contribute mostly to long lead time reliability. Particular attention needs to be paid to the combination of the tools, especially in the EnKF tuning to avoid overlapping in error deciphering.

Influence of target uncertainty on reaching movements while standing in stroke

2019 ◽  
Vol 64 ◽  
pp. 283-295
Author(s):  
Camila Astolphi Lima ◽  
Sandra Regina Alouche ◽  
Alessandra Maria Schiavinato Baldan ◽  
Paulo Barbosa de Freitas ◽  
Sandra Maria Sbeghen Ferreira Freitas
Keyword(s):  
Reaching Movements ◽  
Target Uncertainty
Sign in / Sign up

Export Citation Format

Share Document