Prediction of Ideas Number During a Brainstorming Session

International audienceIn this paper, we present an approach allowing the prediction of ideas number during a brainstorming session. This prediction is based on two dynamic models of brainstorming, the non-cognitive and the cognitive models proposed by Brown and Paulus (Small Group Res 27(1):91–114, 1996). These models describe for each participant, the evolution of ideas number over time, and are formalized by differential equations. Through solution functions of these models, we propose to calculate the number of ideas of each participant on any time intervals and thus in the future (called prediction). To be able to compute solution functions, it is necessary to determine the parameters of these models. In our approach, we use optimization model for model parameters calculation in which solution functions are approximated by numerical methods. We developed two generic optimization models, one based on Euler’s and the other on the fourth order Runge–Kutta’s numerical methods for the solving of differential equations, and we apply them to the non-cognitive and respectively to the cognitive models. Through some feasibility tests, we show the adequacy of the proposed approach to our prediction context

Pilot study of the multicentre DISCHARGE trial: image quality and protocol adherence results of computed tomography and invasive coronary angiography (vol 30, pg 1997, 2020)

The original version of this article, published on 16 December 2019, unfortunately contained two mistakes.Cardiovascular Aspects of Radiolog

Investigating the Potential Impacts of Mega Archeological Projects in Egypt

Cultural tourism has gained considerable prominence as a tool contributing to the social and economic development of countries. This paper investigates the potential impacts of recent mega archeological projects in Egypt. Three main questions are addressed in this study, including 1) How do stakeholders perceive the importance of mega archeological projects in Egypt?, 2) What are the potential economic, social, and environmental implications associated with mega archeological initiatives in Egypt?, and 3) How to utilize mega archeological projects to upscale Egyptian tourism? To provide answers to these questions, international experiences highlighting the return on cultural heritage investments are reviewed, and a quantitative survey is designed based on the triple bottom line approach. The findings of this study reveal that stakeholders recognize the foremost importance of the recent mega archeological projects in Egypt. This importance can be reflected in the role of such projects as an effective strategy to reinforce the competitive advantage of Egyptian tourism, enrich economic growth, support inclusive community development, and contribute to sustainable development. Also, the results indicate that the recent mega archeological projects can contribute to the tourism recovery in Egypt by attracting more purposeful cultural tourists, who are wholly motivated by culture, encouraging non-cultural tourists to partake in cultural activities, promoting domestic tourism flows, maximizing tourism contribution to GDP, and providing more job opportunities empowering women and youth. This paper concludes with proposed actions that can assist in utilizing the mega archeological projects for upscaling Egyptian tourism

The Effect Of The Application Of Cooperative Learning Model Of Student Teams Achievement-Division (Stad) Type To Improve The Learning Results Of Class On Class Student Intellectual Intelligence (PDCI) At MTs Negeri 1 Kunir, Wonodadi, Blitar Academic Year:

As for improving learning results teachers must be good at choosing methodsand learning models that will be applied to students. One of them is implementingthe STAD type cooperative learning model. In Junior High School Kunir 1 Blitaracademic year 2018/2019. The research objectives in this study were: (1) Describethe application of the STAD Cooperative learning model to the learning outcomesof Fiqh lessons in the PDCI class of MTsN Kunir Wonodadi Blitar. (2) Explainwhether or not there is an effect of the application of the STAD learning model onthe learning results of PDCI students in the MTsN Kunir Wonodadi District Blitaron Fiqh subjects.This type of research is quantitative experimental research withpost-test only design. The data collection instrument uses tests and data analysisusing the normality test, homogeneity test, t test and regression test.The results ofthis study indicate that: (1) Implementing the STAD learning model can improvestudent learning outcomes in Fiqih subjects in the PDCI MTsN 1 Kunir, Wonodadi,Blitar school year 2018-2019. (2) There are influences of learning results in theexperimental class with the number of 18 students having an average of 97.05%who previously had a class average of 58.33% and a control class with a total of 18students having a mean grade of 92.66% previously had a class average of 61.66%with t count of tresult4.041> ttable 1.688 and the results of the regression test 0.014under 0.050

Increased/Targeted Brain (Pro)Drug Delivery via Utilization of Solute Carriers (SLCs)

Membrane transporters have a crucial role in compounds’ brain drug delivery. They allow not only the penetration of a wide variety of different compounds to cross the endothelial cells of the blood–brain barrier (BBB), but also the accumulation of them into the brain parenchymal cells. Solute carriers (SLCs), with nearly 500 family members, are the largest group of membrane transporters. Unfortunately, not all SLCs are fully characterized and used in rational drug design. However, if the structural features for transporter interactions (binding and translocation) are known, a prodrug approach can be utilized to temporarily change the pharmacokinetics and brain delivery properties of almost any compound. In this review, main transporter subtypes that are participating in brain drug disposition or have been used to improve brain drug delivery across the BBB via the prodrug approach, are introduced. Moreover, the ability of selected transporters to be utilized in intrabrain drug delivery is discussed. Thus, this comprehensive review will give insights into the methods, such as computational drug design, that should be utilized more effectively to understand the detailed transport mechanisms. Moreover, factors, such as transporter expression modulation pathways in diseases that should be taken into account in rational (pro)drug development, are considered to achieve successful clinical applications in the future

A Group Multicriteria Approach

International audienceGroup decision support systems are developed to support a group engaged in decision-making process. These decision-making processes can also be seen from a multicriteria perspective. We present in this chapter group support system called GRoUp Support (GRUS) based on a multicriteria paradigm. The GRUS system has been tested and used in several contexts. Some experiments are conducted in a European project called RUC-APS and some other in a French national project called VGI4Bio, and finally we conducted some experiments in three different countries with Master and PhD students