Use-cases on evolution

This report presents a set of use cases for evolution and reactivity for data in the Web and Semantic Web. This set is organized around three different case study scenarios, each of them is related to one of the three different areas of application within Rewerse. Namely, the scenarios are: “The Rewerse Information System and Portal”, closely related to the work of A3 – Personalised Information Systems; “Organizing Travels”, that may be related to the work of A1 – Events, Time, and Locations; “Updates and evolution in bioinformatics data sources” related to the work of A2 – Towards a Bioinformatics Web

State-of-the-art on evolution and reactivity

This report starts by, in Chapter 1, outlining aspects of querying and updating resources on the Web and on the Semantic Web, including the development of query and update languages to be carried out within the Rewerse project. From this outline, it becomes clear that several existing research areas and topics are of interest for this work in Rewerse. In the remainder of this report we further present state of the art surveys in a selection of such areas and topics. More precisely: in Chapter 2 we give an overview of logics for reasoning about state change and updates; Chapter 3 is devoted to briefly describing existing update languages for the Web, and also for updating logic programs; in Chapter 4 event-condition-action rules, both in the context of active database systems and in the context of semistructured data, are surveyed; in Chapter 5 we give an overview of some relevant rule-based agents frameworks

Self-* overload control for distributed web systems

Unexpected increases in demand and most of all flash crowds are considered the bane of every web application as they may cause intolerable delays or even service unavailability. Proper quality of service policies must guarantee rapid reactivity and responsiveness even in such critical situations. Previous solutions fail to meet common performance requirements when the system has to face sudden and unpredictable surges of traffic. Indeed they often rely on a proper setting of key parameters which requires laborious manual tuning, preventing a fast adaptation of the control policies. We contribute an original Self-* Overload Control (SOC) policy. This allows the system to self-configure a dynamic constraint on the rate of admitted sessions in order to respect service level agreements and maximize the resource utilization at the same time. Our policy does not require any prior information on the incoming traffic or manual configuration of key parameters. We ran extensive simulations under a wide range of operating conditions, showing that SOC rapidly adapts to time varying traffic and self-optimizes the resource utilization. It admits as many new sessions as possible in observance of the agreements, even under intense workload variations. We compared our algorithm to previously proposed approaches highlighting a more stable behavior and a better performance.Comment: The full version of this paper, titled "Self-* through self-learning: overload control for distributed web systems", has been published on Computer Networks, Elsevier. The simulator used for the evaluation of the proposed algorithm is available for download at the address: http://www.dsi.uniroma1.it/~novella/qos_web

Use of Medicinal Cannabis and Synthetic Cannabinoids in Posttraumatic Stress Disorder (PTSD): a systematic review

Background and Objectives: Post-traumatic stress disorder (PTSD) is a common psychiatric disorder resulting from a traumatic event, is manifested through hyperarousal, anxiety, depressive symptoms, and sleep disturbances. Despite several therapeutic approaches being available, both pharmacological and psychological, recently a growing interest has developed in using cannabis and synthetic cannabinoids stems from their consideration as more efficient and better tolerated alternatives for the treatment of this condition. The present paper aims to evaluate the clinical and therapeutic potentials of medical cannabis and synthetic cannabinoids in treating PTSD patients. Methods: A systematic electronic search was performed, including all papers published up to May 2019, using the following keywords (((cannabis[Title/Abstract]) OR (synthetic cannabinoids [Title/Abstract])) AND ((PTSD[Title/Abstract]) OR (Posttraumatic stress disorder[Title/Abstract]))) for the topics ‘Cannabis’, ‘Synthetic Cannabinoids’, ‘PTSD’, and MESH terms, on the PubMed, Cochrane Library, and Web of Science online databases. For data gathering purposes, PRISMA guidelines were followed. Results were organized into two groups, considering cannabis and synthetic cannabinoids as different therapeutic approaches for PTSD. Results: Present data show that cannabis and synthetic cannabinoids, both acting on the endocannabinoids system, may have a potential therapeutic use for improving PTSD symptoms, e.g., reducing anxiety, modulating memory-related processes, and improving sleep. Conclusions: Even though the current literature suggests that cannabis and synthetic cannabinoids may have a role in the treatment of PTSD, there is currently limited evidence regarding their safety and efficacy. Therefore, additional research is needed in order to better understand the effectiveness and therapeutic usage of these drug classes and monitor their safety.Peer reviewe

ENMat international projects: FP7 NMP coordination action: 2BFUNTEX

Boosting collaboration between research centres and industry to enhance rapid industrial uptake of innovative functional textile structures and textile-related materials in a mondial market 2BFUNTEX will exploit the untapped potential in functional textile structures and textile related materials. It will bring together all innovation actors in the field fostering a multidisciplinary approach between universities, research institutes, SMEs and sector associations. The 2BFUNTEX team will identify technological gaps and eliminate barriers resulting in a faster industrial uptake of added value functional materials with new functionalities and improved performance and resulting in creation of new business worldwide. Technological needs will be mapped, new joint international research disciplines will be identified and multidisciplinary lab teams will be created. International cooperation will be favoured to exploit the worldwide market expansion potential. Industry will be involved at all stages of the process. The inventory will enlarge the team of important textile universities and renowned materials research centres and will identify new collaborations. Synergy will be reinforced and created which will enable to identify and develop new functional materials. Training materials regarding functional materials for research and industrial purposes will be developed and implemented to allow a common language regarding functional textile structures and text ile related materials, and will increase the number of well-trained people in this field. Further, the 2BFUNTEX partners will organise and participate in conferences, workshops and brokerage events. Along with a website with an extensive database comprising all information gained throughout the project, collaboration will be boosted and rapid industrial uptake catalysed and enhanced. The project duration will be 4 years and the consortium includes 26 partners from 16 countries. Start date : 01/01/2012 More information: Ir. Els Van der Burght Department of Textiles/Ghent University [email protected] [email protected] URL: http://www.2bfuntex.e

ENMat international projects: FP7 NMP large collaborative project: 3D-LightTrans

Large scale manufacturing technology for high-performance lightweight 3D multifunctional composites The goal of the 3D-LightTrans project is to provide groundbreaking, highly flexible, efficient and adaptable low-cost technologies for the manufacturing of integral large scale 3D textile reinforced plastic composites, including innovative approaches for the individual processes and its integration in complete manufacturing chains, which will enable to shift them from its current position in cost intensive, small series niche markets, to broadly extended mass product applications, not only in transportation, but also in other key sectors, like health and leisure. To fulfil this goal, the 3DLightTrans manufacturing chains will be based on multimaterial semifinished fabrics, processed to deep draped prefixed multilayered and multifunctional 3D -textile preforms, which will be processed into composites by a thermoforming process. By integrating these new, innovative process steps with full automation in -nowadays mostly manually performed- complex handling operations, it will be possible to obtain a fully automated and highly adaptable manufacturing chain to achieve integral large scale 3D composites. 3D-LightTrans will open the way to a totally new concept for the design, manufacturing and application of composites for low-cost mass products in a wide range of sectors. The Consortium brings together multidisciplinary research teams involving European leading companies, including industrial stakeholders from machine tools and machine automation and several OEM active in the field of processing of flexible materials and composite manufacturing, as well as from the application sector, and extensive expertise from well known research specialists in the area of materials, production research and technical textiles in particular. Start date : 01/04/2011 Project duration : 4 years More information: Dr. Erich Kny Austrian Institute of Technology, [email protected] URL: http://www.3d-lighttrans.com