scholarly journals Identifying port maritime communities: application to the Spanish case

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Nicanor García ◽  
Belarmino Adenso-Díaz ◽  
Laura Calzada-Infante
Keyword(s):  
Link Prediction ◽  
Decision Makers ◽  
Fine Tuning ◽  
Trade Patterns ◽  
Weighted Network ◽  
Export Activity ◽  
Maritime Traffic ◽  
Freight Traffic ◽  
Different Types ◽  
Port System

AbstractThe aim of this paper is to detect port maritime communities sharing similar international trade patterns, by a modelisation of maritime traffic using a bipartite weighted network, providing decision-makers the tools to search for alliances or identify their competitors. Our bipartite weighted network considers two different types of nodes: one represents the ports, while the other represents the countries where there are major import/export activity from each port. The freight traffic among both types of nodes is modeled by weighting the volume of product transported. To illustrate the model, the Spanish case is considered, with the data segmented by each type of traffic for a fine tuning. A sort of link prediction is possible, finding for those communities with two or more ports, countries that are part of the same community but with which some ports do not have yet significant traffic. The evolution of the traffics is analyzed by comparing the communities in 2009 and 2019. The set of communities formed by the ports of the Spanish port system can be used to identify global similarities between them, comparing the membership of the different ports in communities for both periods and each type of traffic in particular.

scholarly journals MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Léo Pio-Lopez ◽  
Alberto Valdeolivas ◽  
Laurent Tichit ◽  
Élisabeth Remy ◽  
Anaïs Baudot
Keyword(s):  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Link Prediction ◽  
Network Embedding ◽  
Multiplex Networks ◽  
Multiplex Network ◽  
Gene Associations ◽  
Different Types ◽  
Embedding Methods ◽  
Node Embeddings

AbstractNetwork embedding approaches are gaining momentum to analyse a large variety of networks. Indeed, these approaches have demonstrated their effectiveness in tasks such as community detection, node classification, and link prediction. However, very few network embedding methods have been specifically designed to handle multiplex networks, i.e. networks composed of different layers sharing the same set of nodes but having different types of edges. Moreover, to our knowledge, existing approaches cannot embed multiple nodes from multiplex-heterogeneous networks, i.e. networks composed of several multiplex networks containing both different types of nodes and edges. In this study, we propose MultiVERSE, an extension of the VERSE framework using Random Walks with Restart on Multiplex (RWR-M) and Multiplex-Heterogeneous (RWR-MH) networks. MultiVERSE is a fast and scalable method to learn node embeddings from multiplex and multiplex-heterogeneous networks. We evaluate MultiVERSE on several biological and social networks and demonstrate its performance. MultiVERSE indeed outperforms most of the other methods in the tasks of link prediction and network reconstruction for multiplex network embedding, and is also efficient in link prediction for multiplex-heterogeneous network embedding. Finally, we apply MultiVERSE to study rare disease-gene associations using link prediction and clustering. MultiVERSE is freely available on github at https://github.com/Lpiol/MultiVERSE.

Key principles for the improved conduct of health technology assessments for resource allocation decisions

2008 ◽  
Vol 24 (03) ◽  
pp. 244-258 ◽  
Author(s):  
Michael F. Drummond ◽  
J. Sanford Schwartz ◽  
Bengt Jönsson ◽  
Bryan R. Luce ◽  
Peter J. Neumann ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Health Technology ◽  
Resource Allocation Decision ◽  
Decision Makers ◽  
Costs And Benefits ◽  
Allocation Decision ◽  
Health Technologies ◽  
System A ◽  
Different Types ◽  
Allocation Decisions

Health technology assessment (HTA) is a dynamic, rapidly evolving process, embracing different types of assessments that inform real-world decisions about the value (i.e., benefits, risks, and costs) of new and existing technologies. Historically, most HTA agencies have focused on producing high quality assessment reports that can be used by a range of decision makers. However, increasingly organizations are undertaking or commissioning HTAs to inform a particular resource allocation decision, such as listing a drug on a national or local formulary, defining the range of coverage under insurance plans, or issuing mandatory guidance on the use of health technologies in a particular healthcare system. A set of fifteen principles that can be used in assessing existing or establishing new HTA activities is proposed, providing examples from existing HTA programs. The principal focus is on those HTA activities that are linked to, or include, a particular resource allocation decision. In these HTAs, the consideration of both costs and benefits, in an economic evaluation, is critical. It is also important to consider the link between the HTA and the decision that will follow. The principles are organized into four sections: (i) “Structure” of HTA programs; (ii) “Methods” of HTA; (iii) “Processes for Conduct” of HTA; and (iv) “Use of HTAs in Decision Making.”

scholarly journals Communicating earthquake risk: mapped parameters and cartographic representation

2011 ◽  
Vol 11 (2) ◽  
pp. 359-366 ◽  
Author(s):  
J. M. Gaspar-Escribano ◽  
T. Iturrioz
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Risk Information ◽  
Decision Makers ◽  
Earthquake Risk ◽  
Graphical Representations ◽  
Related Risk ◽  
Different Types ◽  
Earthquake Effects ◽  
Earthquake Risk Assessment

Abstract. Earthquake risk assessment is probably the most effective tool for reducing adverse earthquake effects and for developing pre- and post-event planning actions. The related risk information (data and results) is of interest for persons with different backgrounds and interests, including scientists, emergency planners, decision makers and other stakeholders. Hence, it is important to ensure that this information is properly transferred to all persons involved in seismic risk, considering the nature of the information and the particular circumstances of the source and of the receiver of the information. Some experience-based recommendations about the parameters and the graphical representations that can be used to portray earthquake risk information to different types of audiences are presented in this work.

scholarly journals WASTE MANAGEMENT ON BOARD SEAGOING SHIPS

2021 ◽  
Vol 2021 (2) ◽  
pp. 49-54
Author(s):  
LILIANA VIORICA POPA
Keyword(s):  
Waste Management ◽  
Management System ◽  
Management Plan ◽  
Decision Makers ◽  
Waste Management System ◽  
Different Types ◽  
Climate Crisis ◽  
Constructive Action

"The reality remains uncomfortable, the climate crisis is coming with extreme phenomena more and more devastating around the globe and more and more people and more and more parts of ecosystems are suffering from the greed of large companies and lack of constructive action and coherent decision-makers. There are various types of waste generated during operation, and to be able to implement a waste management system, it is necessary to identify and quantify the different types of waste on board. The purpose of this paper is to examine the responsibilities, management, handling and disposal of ship-generated waste and the requirements for the preparation of an on-board waste management plan. "

Similarity-based link prediction in social networks: A path and node combined approach

2016 ◽  
Vol 43 (5) ◽  
pp. 683-695 ◽  
Author(s):  
Chuanming Yu ◽  
Xiaoli Zhao ◽  
Lu An ◽  
Xia Lin
Keyword(s):  
Social Networks ◽  
Link Prediction ◽  
Computational Analysis ◽  
Rapid Development ◽  
Area Under The Curve ◽  
Combined Approach ◽  
Topological Features ◽  
Different Types ◽  
Path Dependent ◽  
Analysis Of Social Networks

With the rapid development of the Internet, the computational analysis of social networks has grown to be a salient issue. Various research analyses social network topics, and a considerable amount of attention has been devoted to the issue of link prediction. Link prediction aims to predict the interactions that might occur between two entities in the network. To this aim, this study proposed a novel path and node combined approach and constructed a methodology for measuring node similarities. The method was illustrated with five real datasets obtained from different types of social networks. An extensive comparison of the proposed method against existing link prediction algorithms was performed to demonstrate that the path and node combined approach achieved much higher mean average precision (MAP) and area under the curve (AUC) values than those that only consider common nodes (e.g. Common Neighbours and Adamic/Adar) or paths (e.g. Random Walk with Restart and FriendLink). The results imply that two nodes are more likely to establish a link if they have more common neighbours of lower degrees. The weight of the path connecting two nodes is inversely proportional to the product of degrees of nodes on the pathway. The combination of node and topological features can substantially improve the performance of similarity-based link prediction, compared with node-dependent and path-dependent approaches. The experiments also demonstrate that the path-dependent approaches outperform the node-dependent appraoches. This indicates that topological features of networks may contribute more to improving performance than node features.

Exploring Funding in Higher Education Sector in Oman

2021 ◽  
Vol 12 (2) ◽  
pp. 10-20
Author(s):  
Mouza Said Al Kalbani ◽  
Ahmad Bintouq
Keyword(s):  
Higher Education ◽  
Private Education ◽  
Education Sector ◽  
Decision Makers ◽  
Government Support ◽  
Tuition Fees ◽  
Funding Sources ◽  
The Us ◽  
Different Types ◽  
The Uk

Funding of higher education institutions is a major growing expense for the Oman government (13–14% of the total spending in 2016) and is at par with that of other governments (e.g., 11% in the UK and 15.5% in the US). However, there has been little investigation into the funding of quality higher education in Oman. The present research project aims to explore the sources of funding at Oman universities after it opened the private education sector in 1996. The research methodology includes conducting interviews with leaders in higher education to explore different types of funding (e.g., gifts, tuition fees, government support). This will enhance our understanding, as well as that of decision-makers, regarding universities' funding sources and of the higher education landscape.

Bridging the Gap between Citizens and Decision-Makers

2010 ◽  
pp. 573-586
Author(s):  
Karamagioli Evika
Keyword(s):  
Social Impact ◽  
Social Practices ◽  
Decision Makers ◽  
Democratic Accountability ◽  
Cultural Meanings ◽  
The Past ◽  
The Social ◽  
Modern Methods ◽  
Different Types ◽  
Efficiency And Effectiveness

Over the past few years the concepts of government and governance have been dramatically transformed. Not only is this due to increasing pressures and expectations that the way we are governed should reflect modern methods of efficiency and effectiveness, but also that government should be more open to democratic accountability. The following chapter will introduce the social impact dimension of e-democracy while proposing concrete directions and incentives that should be provided for engagement through electronic means. The intention is to highlight the fact that technology is the result of a combination of tools, social practices, social organizations, and cultural meanings. It not only represents social arrangements, but also has the potential to facilitate and / or limit different types of interaction.

Simulations in orthopedics and rehabilitation – Part I: Simulators

2016 ◽  
Vol 12 (4) ◽  
Author(s):  
Jacek Dygut ◽  
Piotr Piwowar ◽  
Maria Gołda ◽  
Krzysztof Popławski ◽  
Robert Jakubas ◽  
...  
Keyword(s):  
Computer Simulation ◽  
The Other ◽  
Fine Tuning ◽  
Patient Treatment ◽  
Biological Processes ◽  
Clinical Environment ◽  
Knowledge And Skills ◽  
Simulation Techniques ◽  
Resident Physicians ◽  
Different Types

AbstractNowadays, medical simulators and computer simulation programs are used to train various skills required in medicine. The development of medicine, including orthopedics and rehabilitation, has meant that resident physicians, within a much shorter period of time, must acquire the knowledge and skills that their older colleagues gained over years, learning as they operated on patients. For this reason, simulation very often helps the doctor and others engaged in health care train some techniques necessary during the work before they start working in a clinical environment. They have a chance of fine-tuning certain skills under nonclinical environment. On the other hand, simulation techniques are used in medical scientific research to know and explain the different biological processes that can be used for better patient treatment in the future. In this paper (Part I), the authors focused on the presentation of different types of simulators for the following purposes: test (conducted under laboratory conditions), training (incorporated into school, universities syllabus), diagnostic and therapeutic (within the hospital, clinics, private medical practice).

scholarly journals A New Decision-Making Method for Stock Portfolio Selection Based on Computing with Linguistic Assessment

2009 ◽  
Vol 2009 ◽  
pp. 1-20 ◽  
Author(s):  
Chen-Tung Chen ◽  
Wei-Zhan Hung
Keyword(s):  
Decision Making ◽  
Portfolio Selection ◽  
Quantitative Data ◽  
Decision Makers ◽  
Stock Selection ◽  
Qualitative And Quantitative ◽  
Selection Problems ◽  
Different Types ◽  
Linguistic Assessment ◽  
Stock Portfolio

The purpose of stock portfolio selection is how to allocate the capital to a large number of stocks in order to bring a most profitable return for investors. In most of past literatures, experts considered the portfolio of selection problem only based on past crisp or quantitative data. However, many qualitative and quantitative factors will influence the stock portfolio selection in real investment situation. It is very important for experts or decision-makers to use their experience or knowledge to predict the performance of each stock and make a stock portfolio. Because of the knowledge, experience, and background of each expert are different and vague, different types of 2-tuple linguistic variable are suitable used to express experts' opinions for the performance evaluation of each stock with respect to criteria. According to the linguistic evaluations of experts, the linguistic TOPSIS and linguistic ELECTRE methods are combined to present a new decision-making method for dealing with stock selection problems in this paper. Once the investment set has been determined, the risk preferences of investor are considered to calculate the investment ratio of each stock in the investment set. Finally, an example is implemented to demonstrate the practicability of the proposed method.

scholarly journals Dynamics of Actors in Innovation in Public Health Services: Brazilian Experience

2019 ◽  
Vol 21 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Cristine Hermann Nodari ◽  
Luciana Gondim de Almeida Guimarães ◽  
Alipio Ramos Veiga Neto ◽  
Pelayo Munhoz Olea ◽  
Isabel Cristina Rosa Barros Rasia
Keyword(s):  
Public Health ◽  
Health Services ◽  
Decision Makers ◽  
Future Research ◽  
Public Health Services ◽  
Political Decision ◽  
The Public ◽  
Different Types ◽  
South Of Brazil

The analysis of development of innovation in services starts from the interaction of different actors. This research aimed to identify the dynamics of the mobilization of preferences and capabilities of different actors (political decision-makers, users and servers) in the development of the final characteristics of the service and, consequently, of the innovation in the public health context of a municipality located in the south of Brazil. Was carried out analysis of data from descriptive and inferential statistics of case study. The main results highlight the preponderance of the operation of server capacity for mobilization of different types of innovation, and consequently the production of the final characteristics of the health service. In this context, service innovation can finally be taken as the endogenous decision-making process of the organizations that make up the sector and that derive from the very nature of health services. Finally, we described the limitations and future research opportunities.

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