Web Platform

Extreme rainfall events are the main triggering causes for hydro-meteorological hazards in mountainous areas, where development is often constrained by the limited space suitable for construction. In these areas, hazard and risk assessments are fundamental for risk mitigation, especially for preventive planning, risk communication and emergency preparedness. Multi-hazard risk assessment in mountainous areas at local and regional scales remain a major challenge because of lack of data related to past events and causal factors, and the interactions between different types of hazards. The lack of data leads to a high level of uncertainty in the application of quantitative methods for hazard and risk assessment. Therefore, a systematic approach is required to combine these quantitative methods with expert-based assumptions and decisions. In this study, a quantitative multihazard risk assessment was carried out in the Fella River valley, prone to debris flows and flood in the northeastern Italian Alps. The main steps include data collection and development of inventory maps, definition of hazard scenarios, hazard assessment in terms of temporal and spatial probability calculation and intensity modelling, elements-at-risk mapping, estimation of asset values and the number of people, physical vulnerability assessment, the generation of risk curves and annual risk calculation. To compare the risk for each type of hazard, risk curves were generated for debris flows, river floods and flash floods. Uncertainties were expressed as minimum, average and maximum values of temporal and spatial probability, replacement costs of assets, population numbers, and physical vulnerability. These result in minimum, average and maximum risk curves. To validate this approach, a back analysis was conducted using the extreme hydro-meteorological event that occurred in August 2003 in the Fella River valley. The results show a good performance when compared to the historical damage reports.

The European Alien Species Information Network (EASIN) aims to facilitate the exploration of alien species information in Europe, and is recognized as the information system supporting European Union Member States in the implementation of the recently published Invasive Alien Species Regulation. In this paper, we present the role and activities of the EASIN Editorial Board (EB), which is responsible for the quality assurance, safeguarding and constant improvement of EASIN. The EB is supported by a web platform that facilitates online discussions about alien species. This platform creates a virtual community by providing a forum-like interface that is moderated by the EB Members but is freely accessible to the scientific community and the general public. It allows all registered users to make comments, raise questions and share experience and expertise on alien species in Europe. Moreover, it provides a means for exchanging opinions and solving disputes in a transparent way. The overall EB activity is commonly agreed upon procedures and standards.

A limited amount of training data is a well-known challenge in the application of deep learning methods. This issue is particularly relevant in biomedical signal processing, such as the analysis of electrocardiograms, due to the labor-intensive nature of data preparation, which requires the involvement of qualified specialists. Self-supervised learning methods, originally developed in such domains as natural language processing and computer vision, have emerged as a potential approach to addressing this challenge and are increasingly being explored in biomedical signal processing. However, direct adaptation of self-supervised learning techniques from other domains does not fully account for ECG-specific characteristics, such as quasi-periodicity, localized morphological features, and susceptibility to noise. This highlights the relevance of developing ECG-specific self-supervised learning methods. This study presents a novel self-supervised learning approach for pretraining neural networks on unlabeled ECG data. The proposed method is based on predicting the short consecutive signal segment using a preceding one and a learned representation vector. The representation extraction and prediction models are trained jointly on the MIMIC-ECG-IV dataset using backpropagation to minimize the mean squared error between the predicted and original signal segments. As an example of a downstream task, a linear binary classifier was trained on the PTB-XL dataset to diagnose pathological conditions using Lead I. The number of training examples for each diagnosis was limited to thirty-four samples. Firstly, the representation model was pre-trained on the unlabeled MIMIC-ECG-IV dataset, and then linear classifiers were trained on the learned representations for each selected diagnosis in PTB-XL. A comparison was also conducted with a randomly initialized representation model trained jointly with the classifier in a fully supervised manner. The proposed method was evaluated against adaptations of Contrastive Learning, Contrastive Predictive Coding, and Masked Autoencoders method. To ensure a controlled experimental setup, implementations of all considered methods were developed using a unified codebase and shared architectural components. Experimental results demonstrated a significant advantage of all self-supervised learning approaches over joint training of feature extraction and classification models. The proposed SSL method outperformed other tested approaches, particularly for diagnoses with subtle short-term morphological features, such as atrial fibrillation and flutter. These findings suggest the potential for further research in developing ECG-specific self-supervised learning methods as a promising approach to improving neural network performance in scenarios with limited labeled data.

In modern conditions of increasing the amount of waste generated during construction, demolition, repair or reconstruction of facilities, the problem of analysis and management of this waste is becoming increasingly relevant in solving environmental and economic issues. This problem in Ukraine is complicated by hostilities on its territory, which resulted in a significant number of destroyed or damaged buildings. The scientific article proposes a solution to the problem of analysis and management of construction waste by creating intelligent information technology. The authors propose a conceptual scheme of intelligent information technology, which will provide geospatial information about waste reception centres based on data entered by the end user about the source and type of construction waste. The subject literature on the current state of technologies and methods for construction waste management was analysed, on the basis of which the requirements for intelligent information technology were formed. When describing the components of the conceptual scheme, the nature of the input and output data was analysed, and machine algorithms and technologies that can be used to solve the intelligent task of analysing and managing construction waste were considered. As an option for solving the problem of analysing and managing construction waste, the authors developed the intelligent information system of 4 modules, which implemented the following subtasks: classification of waste collection centres, collection of data on the source of waste and its types, waste classification, determination of the nearest waste collection centres and output of results in the form of an interactive map. The server was written in the Java programming language, using the Spring Framework, as well as Spring Boot and Spring Data JPA. PostgreSQL was chosen as the database management system. The frontend was written using Thymeleaf, as well as HTML, CSS and JavaScript. The fourth module includes a query to OpenStreetMap Tiles to display the map on the user's web page. Further development of the research may involve the use of artificial intelligence technologies or neural networks to analyse images of waste generation facilities, based on which a text file with classes of construction waste can be obtained to generate suggestions to the user on waste management.

Most of blood borne and airborne pathogens are highly contagious, harmful and have prevalence among healthcare workers. In this group, healthcare students, especially nursing undergraduates, have even higher risk to be exposed and suffered a contagious accident. One of the main pillars to prevent exposure to such pathogens and decrease accidents seems to be through education. A prospective observational educational research focused on quantifying the students' knowledge, and prevention culture was carried out. The educational approach based on the development of a technological tool, its integration in the students' education, and posterior assessment. The Chi-square, ANOVA, Kruskal-Wallis, Man-Whitney U, and Spearman correlations were used to determine the effect of such educational methodology. The results, previous to the integration of the educational approach, showed differences between the elementary and proficient knowledge and correct procedure in each academic year (p < 0.05), being the best year the third academic year. The mean of elementary knowledge among second year students after the inclusion of the educational methodology improved for 2017/2018 with a mean of 7.5 (1.11) and in 2018/2019 with 7.87 (1.34). This study argued that the educational approach proposed could improve the prevention culture and knowledge among students and future healthcare professionals.

COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. Its symptoms are similar to those of the common flu, including fever, cough, dyspnea, myalgia, and fatigue. Due to its rapid expansion globally, the World Health Organization (OMS) declared it a pandemic. The molecular test commonly used worldwide for direct detection of the virus is the RT-PCR test but it takes time to process and the materials used are scarce. In this work we propose: (a) The design and implementation of a deep neural network architecture for the detection of patients with COVID-19 using as input X-ray images of the chest; the architecture is made up of a feature extraction phase, that is, a pre-trained model VGG16 extracts the features of the image; then in the second phase, a multilayer neural network classifies into one of two particular classes (1: COVID, 0: NO COVID). (b) The implementation of a Web platform that allows interested people to use our architecture in a clear, simple and transparent way. The deep learning algorithm was implemented in Python with specific libraries for the design of neural networks, while the Web platform was implemented in PHP using the Laravel framework and MySQL database. We evaluate the performance of our proposal using the sensitivity, specificity and area under the curve (AUC) evaluation metrics, obtaining good results in very short computational times.

Currently, a large variety of infrastructures are targeting 3D models. Recently, several overview reports on extant platforms and repositories [1-5] and 3D visualization frameworks and formats [6] were compiled. Infrastructures differ from services by including tools or services and facilities for operation. Particularly for 3D models, there is a main difference between such as repositories and aggregators for storing, collecting, and preserving 3D data as well as 3D viewers or virtual research environments that allow access to 3D models and research activities with them. • What are the types of infrastructures? • What are current challenges and developments? • Linked open data • Virtual research environments • 3D information systems

The European Alien Species Information Network (EASIN) aims to facilitate the exploration of alien species information in Europe, and is recognized as the information system supporting European Union Member States in the implementation of the recently published Invasive Alien Species Regulation. In this paper, we present the role and activities of the EASIN Editorial Board (EB), which is responsible for the quality assurance, safeguarding and constant improvement of EASIN. The EB is supported by a web platform that facilitates online discussions about alien species. This platform creates a virtual community by providing a forum-like interface that is moderated by the EB Members but is freely accessible to the scientific community and the general public. It allows all registered users to make comments, raise questions and share experience and expertise on alien species in Europe. Moreover, it provides a means for exchanging opinions and solving disputes in a transparent way. The overall EB activity is commonly agreed upon procedures and standards.

In recent years, advances in the fields of photogrammetry and computer vision have produced several solutions for generating 3D reconstruction starting from simple images. Even if the potentialities of the image-based 3D reconstruction approach are nowadays very well-known in terms of reliability, accuracy and flexibility, there is still a lack of low-cost, open-source and automated solutions for collecting mass of archaeological findings, specially if one consider the real (and non theoretical) contextual aspects of a digitization campaign on the field (number of objects to acquire, available time, lighting conditions, equipment transport, budget, etc...) as well as the accuracy requirements for an in-depth shape analysis and classification purpose. In this paper we present a prototype system (integrating hardware and software) for the 3D acquisition, geometric reconstruction, documentation and archiving of large collections of archaeological findings. All the aspects of our approach are based on high-end image-based modeling techniques and designed basing on an accurate analysis of the typical field conditions of an archaeological campaign, as well as on the specific requirements of archaeological finding documentation and analysis. This paper presents all the aspects integrated into the prototype:-a hardware development of a transportable photobooth for the automated image acquisition consisting of a turntable and three DSLR controlled by a microcontroller ;-an automatic image processing pipeline (based on Apero/Micmac) including mask generation, tie-point extraction, bundle adjustment, multi-view stereo correlation, point cloud generation, surface reconstruction ;-a versatile (off-line/on-line) portable database for associating descriptive attributes (archaeological description) to the 3D digitizations on site ;-a platform for data-gathering, archiving and sharing collections of 3D digitizations on the Web. The presentation and the assessment of this prototype is based on an interdisciplinary experience carried out on the study of the Tholos in Delphi within the framework of the CNRS's Eloquentia project and the EFA's archaeological program.

The combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and e...

Las herramientas didacticas y pedagogicas deben evolucionar para poder hacer frente a los nuevos retos que se presentan actualmente en esta sociedad de la tecnologia y del conocimiento. Dentro de las nuevas estrategias se encuentran aquellas que permitan motivar a los alumnos, logrando que puedan realizar las actividades de forma entretenida sintiendo placer por realizarlas. Es por ello por lo que el ambito academico debe tomar conceptos propios de los juegos que tienen inherentemente la caracteristica de atrapar a sus usuarios. Esto no necesariamente conlleva a implementar juegos serios en las asignaturas sino por el contrario agregarle atractivo a las tareas cotidianas. Es alli donde la gamificacion, es decir agregar elementos ludicos a actividades no ludicas, cobra un papel principal. Este trabajo presenta una plataforma web gamificada para la practica de ejercicios de programacion accesible desde la web, donde el estudiante obtiene una respuesta inmediata de sus actividades, per...

While innovation and creativity are critical to an organization&apos;s success, it cannot be forced or even created only by top company executives or dedicated innovation teams. Instead, the appropriate environment and processes need to be crafted, so that an employee&apos;s innate creativity is naturally forthcoming. This paper presents a project that was developed in order to promote the human capital of an entity or organization through individual dissemination of ideas whose context is to improve processes, reduce costs, increase efficiency or to simplify administration and bureaucracy. The platform provides to all employees of an organization the opportunity to express their ideas publicly. The ideas are anonymously approved a priori and the adopted voting process follows the methodology of Likert.

Creating medical applications of additive manufacturing (AM) is a complex multidisciplinary process. There is a need to examine this process in more detail to understand it better, which is crucial for its further development. The objective of this study was to investigate the design and production process of medical applications of AM and to develop an online platform for the documentation and planning of medical application of AM cases. The study was motivated by the fact that the medical applications of AM field is lacking a comprehensive classification standard and a process model which depicts the design and manufacturing process. A web platform would enable professionals to collaborate meaningfully on this complex and multidisciplinary subject. The online platform was developed by using Drupal content management system and PHP programming. The result was a dynamic web platform where users can view and document case studies using the designed matrix framework and communicate and collaborate with other professionals in the field.

The systems for studying public sentiment in web platforms are analyzed. Various tools and methods for effectively determining the mood in textual data from web platforms are described, including the formalization of the social graph and the content graph. The process of classifying comments, which includes the systematization and categorization of statements, is investigated. Based on the studied dataset, information on customer reviews and hotel ratings in Europe from the booking.com web platform is selected. Taking into account the requirements of the information system and the results of the analysis, it is determined that in order to obtain better results in determining the emotional connotation of the texts of reviews and messages from users, the most appropriate is the use of machine learning methods, taking into account natural language methods for processing text data. When choosing a text vectorization method for machine learning, the Term Frequency Inverse Document Frequency Vectorizer was chosen as the most effective among the studied methods. The architectural structure of the studied system is proposed, which is aimed at effective interaction between components and modules. The LogisticRegression model is chosen to determine the public mood. An information system has been developed that analyzes public sentiment about objects, uses advanced machine learning technologies to assess the emotional connotation of text comments, and provides users with insights and analysis of the results.

Coastal environment with high interaction between nature and societies is subject to multihazard interaction such as landslides, flood or cliff retreat. These territories are characterized by numerous elements at risk located in valley bottoms, front sea or at the outlets of small dry watershed. The aim is to quantify the potential consequences of EaR by integrating multiple hazards exposure at various scale analyses. To quantify the element at risk, three steps have been required. First, an initial rank has been attributed to each class of element at risk at three different scales analysis. Second, the potential consequences are weighted according to environmental dimension. Third, the consequences are combined with a linear combination of criteria in GIS environment. At medium-scale analysis, element at risk highlighted is built-up areas, national road, railway, lifeline and urban centers. At large-scale analysis, consequences concern any kind of house, apartment and complex located on multiple exposure areas. At local scale, consequences concern buildings located on multiple exposure areas with one floor in mixed materials and built after 1980. Thus, this method proposes an approach with multiple scales analysis and by integrating multiple exposure areas to quantify potential consequences. With the environmental dimension in element at risk analysis, it is an intermediate step to traditional risk analysis and, more specifically multirisk analysis without considering in this case the spatial and temporal dimension of hazards.

The European Alien Species Information Network (EASIN) aims to facilitate the exploration of alien species information in Europe, and is recognized as the information system supporting European Union Member States in the implementation of the recently published Invasive Alien Species Regulation. In this paper, we present the role and activities of the EASIN Editorial Board (EB), which is responsible for the quality assurance, safeguarding and constant improvement of EASIN. The EB is supported by a web platform that facilitates online discussions about alien species. This platform creates a virtual community by providing a forum-like interface that is moderated by the EB Members but is freely accessible to the scientific community and the general public. It allows all registered users to make comments, raise questions and share experience and expertise on alien species in Europe. Moreover, it provides a means for exchanging opinions and solving disputes in a transparent way. The overall EB activity is commonly agreed upon procedures and standards.

Objective To explore the effects of a web platform, aiming to support parents of children with developmental coordination disorder (DCD), on parental knowledge and skills. Method A randomized pilot trial was undertaken (Clinical trial XX). Parents of children 5-12 years old with suspected or diagnosed DCD were recruited. The intervention group (n=15) had access to a web platform (including resources, forum and virtual interactions) for three months. The control group (n=13) only had access to resources. The primary outcome was measured pre-and postintervention with the Parent Knowledge and Skills Questionnaire. Pre-post-questionnaires evaluated secondary outcomes (parents' sense of competence, children's strenghts and difficulties, and children's occupational performance). Results and discussion All outcome measures improved over time for families of the intervention group. However, those improvements were not statistically significant (p 0.075-0.414). Conclusion Web platforms supporting parents of children with DCD are promising and need further evaluation.

One of the main problems of the inventory of architectural heritage is managing and storing large amounts of information in different formats, in addition to the need to organize and manage the information generated by collaborative work between the different technicians who participate in the documentation process. The solution involves the development of a model capable of incorporating information on a layered support and allowing analysis and management, as well as interoperability between tools and other systems throughout the entire life cycle of the building. To carry out this work, two methodologies have been selected to verify their effectiveness in the field of architectural heritage inventory, covering the specific needs of generating a complete graphic database of the building. The Arches platform, a free open source software developed to carry out inventories, has been chosen for its interoperability, specificity and all the characteristics and functions described above...

Landslides threaten many parts of the world and cause many deaths and significant damage every year, and this should increase in the future due to climate change. To cope with this situation and prevent landslides impacts, a large variety of susceptibility and hazard mapping tools have been developed, either to assess current potential failure zones or to predict those that will appear in the near future. In the following, we present an application of the Vigirisks multirisks web-platform. This web-tools, developed by BRGM, propose computations allowing multi-risks mapping in a realistic manner, e.g., including cascading effects, vulnerability assessment and damages evaluation. The study site selected here is located in Diepe (Normandie, France); this is a typical case of complex flooding/landsliding processes. The Vigirisk web-tool was tested to evaluate risks when these two processes occur in the same time. We present here a simple "concomitant risks" workflow, implemented by using a weithing method.

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Rainfall in Urban and Natural Systems 10th International Workshop on Precipitation in Urban Areas UR15-22

Due to its mountainous topography and its Mediterranean climate, the Provence-Alpes-Cote d&#39;Azur (PACA) region in Southeastern France is particularly prone to flash floods, debris flows and mass movements (landslides and rockfall). A mapping system for these rainfall induced hazards has been tested by local and regional authorities and Government agencies since 2011 as part of the RHYTMME project. This system allows, thank to radar rainfall estimation and rainfall-runoff modelling, the real-time warning and monitoring of flash floods wherever they may occur in the PACA territory. It is also intended to enable, during intense rainfall events, the localisation of the streams susceptible to generate debris flows and of the slopes the more likely to trigger landslides and/or rockfalls.

Las herramientas didacticas y pedagogicas deben evolucionar para poder hacer frente a los nuevos retos que se presentan actualmente en esta sociedad de la tecnologia y del conocimiento. Dentro de las nuevas estrategias se encuentran aquellas que permitan motivar a los alumnos, logrando que puedan realizar las actividades de forma entretenida sintiendo placer por realizarlas. Es por ello por lo que el ambito academico debe tomar conceptos propios de los juegos que tienen inherentemente la caracteristica de atrapar a sus usuarios. Esto no necesariamente conlleva a implementar juegos serios en las asignaturas sino por el contrario agregarle atractivo a las tareas cotidianas. Es alli donde la gamificacion, es decir agregar elementos ludicos a actividades no ludicas, cobra un papel principal. Este trabajo presenta una plataforma web gamificada para la practica de ejercicios de programacion accesible desde la web, donde el estudiante obtiene una respuesta inmediata de sus actividades, per...

In this paper we present Mate Marote, a web platform for massive scale educational interventions. We focus on the scaling requirements needed on these kind of deployments. We show the designed architecture, how these decisions solve the imposed requirements and the implementation. To test this development, we performed a small pilot intervention where the whole system was evaluated. We conclude that Mate Marote is ready for production deployment and enabled to middleto-massive scale interventions. For this purpose, we have deployed this platform in CEIBAL program at Uruguay with more than 100K potential users.

Where information is cheap, attention becomes expensive. In today’s society, information is increasingly at hand. Today, via Internet, anyone has access to it. In the online environment, news channels are flooded with updates – most of them being takeovers of official Web sites of the institutions involved. Their huge numbers and increased dynamics demolish any attempt to build confidence in the government source. A few decades ago, the citizen had television as the main source of information. Soon after the number of TV channels has increased, was observed a decrease regarding the television consumer’s confidence in the information provided this way. Before that, the newspaper and the radio went through similar stages. Today Internet is facing it. This paper proposes the realization of a conceptual framework for online delivery of information from the public environment to the citizens, businesses and other government institutions – as part of a success model regarding the ...

This paper includes new results of avalanche mapping in Uzbekistan. The avalanche caused damage distribution in Uzbekistan is presented. The description of the "Snow Avalanches" database, allowing searching various weather, snow and avalanche parameters, is given. New criteria for potential hazard evaluation were developed for the conditions of Western Tien-Shan mountain regions. All mountain regions of the country were considered for mean scale avalanche danger mapping. An opportunity of avalanche risk assessment on the basis of available information for Southern mountainous regions is considered.

Protected areas (PAs) can generate many benefits inside and outside their borders, and achieving objectives for diverse stakeholders raises many challenges. There are many examples of successful PA management around the globe, although a systematic and comprehensive approach to developing and sharing these solutions has been lacking. We present ''solutioning'' as a structured process of peer-learning, which can inform management strategies in and around protected areas. We explain how the PANORAMA-Solutions for a Healthy Planet initiative has put solutioning into practice through an interactive community and web portal to learn about protected area solutions around the globe. Unlike other web platforms and initiatives reviewed, PANORAMA facilitates adaptation of solution elements (i.e., building blocks) for novel implementation. Supported by theories of resilience and peer-learning, PANORAMA appears to have potential to promote efficiency and equitable benefits for PAs and associated stakeholders focused on nature conservation and sustainable development, although further research is needed to assess whether this learning leads to better solutions or more effective PA management.

Many areas of the world are prone to several natural hazards, and effective risk reduction is only possible if all relevant threats are considered and analyzed. However, in contrast to single-hazard analyses, the examination of multiple hazards poses a range of additional challenges due to the differing characteristics of processes. This refers to the assessment of the hazard level, as well as to the vulnerability toward distinct processes, and to the arising risk level. As comparability of the single-hazard results is strongly needed, an equivalent approach has to be chosen that allows to estimate the overall hazard and consequent risk level as well as to rank threats. In addition, the visualization of a range of natural hazards or risks is a challenging task since the high quantity of information has to be depicted in a way that allows for easy and clear interpretation. The aim of this contribution is to give an outline of the challenges each step of a multi-hazard (risk) analysis poses and to present current studies and approaches that face these difficulties.

This section discusses the analysis of multi-hazards in a mountainous environment at a medium scale (1:25,000) using Geographic Information Systems. Although the term 'multi-hazards' has been used extensively in literature there are still very limited approaches to analyze the effects of more than one hazard in the same area, especially related to their interaction. The section starts with an overview of the problem of multi-hazard risk assessment, and indicates the various types of multi-hazard interactions, such as coupled events, concatenated events, and events changing the predisposing factors for other ones. An illustration is given of multi-hazards in a mountainous environment, and their interrelationships,

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Risk management is very often operating in a reactive way, responding to an event, instead of proactive starting with risk analysis and building up the whole process of risk evaluation, prevention, event management and regeneration. Since damage and losses from natural hazards raise continuously more and more studies, concepts (e.g. Switzerland or South Tyrol-Bolozano) and software packages (e.g. ARMAGEDOM, HAZUS or RiskScape) are developed to guide, standardize and facilitate the risk analysis. But these approaches focus on different aspects and are mostly closely adapted to the situation (legislation, organization of the administration, specific processes etc.) of the specific country or region. We propose in this study the development of a flexible methodology for multi-hazard risk analysis, identifying the stakeholders and their needs, processes and their characteristics, modeling approaches as well as incoherencies occurring by combining all these different aspects. Based on this concept a flexible software package will be established consisting of ArcGIS as central base and being complemented by various modules for hazard modeling, vulnerability assessment and risk calculation. Not all modules will be developed newly but taken from the current state-of-the-art and connected or integrated into ArcGIS. For this purpose two study sites, Valtellina in Italy and Bacelonnette in France, were chosen and the hazards types debris flows, rockfalls, landslides, avalanches and floods are planned to be included in the tool for a regional multi-hazard risk analysis. Since the central idea of this tool is its flexibility this will only be a first step, in the future further processes and scales can be included and the instrument thus adapted to any study site.

Science-based strategies to tackle biological invasions depend on recent, accurate, well-documented, standardized and openly accessible information on alien species. Currently and historically, biodiversity data are scattered in numerous disconnected data silos that lack interoperability. The situation is no different for alien species data, and this obstructs efficient retrieval, combination, and use of these kinds of information for research and policy-making. Standardization and interoperability are particularly important as many alien species related research and policy activities require pooling data. We describe seven ways that data on alien species can be made more accessible and useful, based on the results of a European Cooperation in Science and Technology (COST) workshop: (1) Create data management plans; (2) Increase interoperability of information sources; (3) Document data through metadata; (4) Format data using existing standards; (5) Adopt controlled vocabularies; (6) Increase data availability; and (7) Ensure long-term data preservation. We identify four properties specific and integral to alien species data (species status, introduction pathway, degree of establishment, and impact mechanism) that are either missing from existing data standards or lack a recommended

The European Alien Species Information Network (EASIN) aims to facilitate the exploration of alien species information in Europe, and is recognized as the information system supporting European Union Member States in the implementation of the recently published Invasive Alien Species Regulation. In this paper, we present the role and activities of the EASIN Editorial Board (EB), which is responsible for the quality assurance, safeguarding and constant improvement of EASIN. The EB is supported by a web platform that facilitates online discussions about alien species. This platform creates a virtual community by providing a forum-like interface that is moderated by the EB Members but is freely accessible to the scientific community and the general public. It allows all registered users to make comments, raise questions and share experience and expertise on alien species in Europe. Moreover, it provides a means for exchanging opinions and solving disputes in a transparent way. The overall EB activity is commonly agreed upon procedures and standards.

The investigations that are made on a building for conservation purposes need an important work that is transcribed in a variety of numerical and printed data: surveying data and scientific imagery, damage mapping, photographic collections, historical archives, physical and chemical data etc. Given the difficulty to collect, compare, analyse and validate data prior to restoration, the approach we present aims to mobilize various disciplines (architecture, conservation, mechanics, and computer sciences) to define a novel information processing chain including metric surveys, analysis of surfaces, geometric models of structures, heterogeneous documentary sources management, temporal data, etc. By the way of MONUMENTUM project which is an on-going research project (2013- 2017) funded by ANR (French National Agency for Research), we are designing and developing an open and expandible web platform for the capitalisation and the management of knowledge needed for the understanding and ana...

The combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and e...

The combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and e...

The combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and e...

This paper presents the initial phase of the approach and implementation of a prototype of virtual infrastructure for teaching and lab development in the areas of Industrial Automation and Industrial Communications. The proposed prototype allows remote lab practice using: internet, VMware virtualization and management through Netlab. It allows easy and permanent access to the automation software and hardware necessary for an adequate student experience with real devices.

This study investigates the impact of an exhibition on natural hazards on risk awareness of the inhabitants of the Ubaye Valley in southern France. Risk communication practices need to be effective to contribute to disaster reduction, but their impact is rarely evaluated. Using a pretest/post-test research design as well as a longitudinal study, changes in awareness of adults, teenagers and children were measured. The responses to a questionnaire were analyzed using nonparametric tests. The questionnaire dealt with several factors determining or influencing awareness: attitudes to risk, previous experiences of emergencies, exposure to awareness raising, ability to mitigate/prepare/respond, worry level, self-reported awareness, hard knowledge and demographic characteristics. Generally, risk awareness was higher after visiting the exhibition. The exhibition had most impact on visitors that had experienced few natural hazards or that were little informed a priori. In contrast to teenagers and children, the awareness of adults increased only for risk in general and not for specific natural hazards. Moreover, the results show that the exhibition was more effective in raising awareness of the hazards that occur rarely. For more frequent and more locally occurring hazards, such as debris flows, other means of communication should be considered.

As part of the activities of Huma-Num's Consortium 3D for the Humanities, many meetings have taken place, bringing together scientists from various fields (historians, archaeologists, computer sciences, architects, 3D engineers, archivists, etc.) with the aim of providing effective solutions for the creation and usage of 3D digital models in the Humanities and Social Sciences (SSH). One of the tasks assigned to the Consortium 3D for the Humanities was to develop and write specifications on how to manage a 3D Cultural Heritage project. This document follows up the release of the recommendation of the Consortium 3D for the Humanities available in open access on the HAL platform in 2018. These first recommendations were mostly included into the guide "Guide pour la rédaction d'un cahier des charges de numérisation en 3D" published by the French Ministry of Culture in the context of the National program to digitize and to valorize cultural content.

ABSTRACT: Natural processes are interacting components of natural systems. Only certain characteristics possibly pose a threat to elements at risk and convert the processes into hazards. In the framework of multihazard risk analyses these interactions are mostly not taken into account, however mutual impacts alter the disposition and the triggering of natural hazards and negligence might lead to miss-or underestimation of the actual hazard/risk. In a case study of a medium-scale multi-hazard analysis the interactions concerning the ...

The combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and e...

The transparency provided by information technology (IT) allows companies to reposition themselves in the production chain and dynamically collaborate with other companies for the purpose of optimizing their business. Thus, based on this context, this study aims to analyze the trajectory of the use of collaborative platforms to integrate supply chains based on two cases depicting different aspects of implementing supply chain collaboration practices. According to examination of these cases, interesting lessons are derived regarding the suitability and criticality of the technological approach used to support collaboration, especially regarding the use of a centralized web platform. This study provides insights for managers related to using collaborative tools and reinforcing routes established for practices when seeking to improve integrative capability.

Cultural Heritage management is a topical issue facing administrators, professionals and scholars involved in documentation, restoration and enhancement of the cultural assets. In the paper, after a general framework on the state of the art in the sector, two recent experiences are reported about Information System and integrated service platform for managing Cultural Heritage that authors contributed to develop with the aim of providing experts of the field with effective and flexible tools: the Information System for the restoration of the Neptune's Fountain and the SACHER 3D Life Cycle Management for Cultural Heritage service. The paper describes in detail the two case studies and some possible implementation designed but not yet achieved for the latter, and finally presents some starting points for future research.