SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Competencias que precisan estudiantes de educación física en la práctica profesional: representaciones desde la experiencia de profesores mentores del sistema escolar chileno (Competencies required by physical education students in professional practice:

&#x0D; La práctica profesional es una etapa fundamental de la formación docente puesto que es el momento en el cual el estudiante tiene la posibilidad de aplicar lo aprendido, interactuar con la comunidad escolar y afianzar su rol docente. El presente estudio buscó comprender las representaciones de profesores mentores sobre las competencias que precisan estudiantes de pedagogía en educación física para realizar satisfactoriamente su práctica profesional. Se determinó una metodología cualitativa y un diseño fenomenológico. Se recogieron datos con una encuesta online y entrevistas semiestructuradas a 23 profesores mentores (media edad= 43 años; media experiencia= 16 años) de establecimientos educacionales de la región de Valparaíso, Chile. Se desarrolló análisis de contenido y de discurso con el software ATLAS.ti 9. Como conclusión se evidencia que las competencias para el óptimo desempeño de la práctica se asocian a: a) profesionales; b) sociales; y c) técnicas, las cuales se constituyen como competencias de base para el desempeño profesional futuro de los docentes en formación. &#x0D; Abstract. Professional practice is a fundamental stage of teacher training since it is the moment in which students have the possibility to apply what they have learned, interact with the school community and strengthen their teaching role. This study sought to understand the representations of mentor teachers about the competencies required by students of pedagogy in physical education to satisfactorily carry out their professional practice. A qualitative methodology and a phenomenological design were determined. Data were collected with a semi-structured interview with 23 mentor teachers from educational schools in the Valparaíso, Chile. Content and discourse analysis were developed with the ATLAS.ti 9. As a conclusion, it is evidenced that the competences for the optimal performance of the practice are associated with: a) professionals; b) social; and c) techniques, which are constituted as basic competences for the future professional performance of teachers in training.
A BIM-based system for demolition and renovation waste estimation and planning

► We developed a waste estimation system leveraging the BIM technology. ► The system can calculate waste disposal charging fee and pick-up truck demand. ► We presented an example scenario demonstrating this system. ► Automatic, time-saving and wide applicability are the features of the system. Due to the rising worldwide awareness of green environment, both government and contractors have to consider effective construction and demolition (C&D) waste management practices. The last two decades have witnessed the growing importance of demolition and renovation (D&R) works and the growing amount of D&R waste disposed to landfills every day, especially in developed cities like Hong Kong. Quantitative waste prediction is crucial for waste management. It can enable contractors to pinpoint critical waste generation processes and to plan waste control strategies. In addition, waste estimation could also facilitate some government waste management policies, such as the waste disposal charging scheme in Hong Kong. Currently, tools that can accurately and conveniently estimate the amount of waste from construction, renovation, and demolition projects are lacking. In the light of this research gap, this paper presents a building information modeling (BIM) based system that we have developed for estimation and planning of D&R waste. BIM allows multi-disciplinary information to be superimposed within one digital building model. Our system can extract material and volume information through the BIM model and integrate the information for detailed waste estimation and planning. Waste recycling and reuse are also considered in our system. Extracted material information can be provided to recyclers before demolition or renovation to make recycling stage more cooperative and more efficient. Pick-up truck requirements and waste disposal charging fee for different waste facilities will also be predicted through our system. The results could provide alerts to contractors ahead of time at project planning stage. This paper also presents an example scenario with a 47-floor residential building in Hong Kong to demonstrate our D&R waste estimation and planning system. As the BIM technology has been increasingly adopted in the architectural, engineering and construction industry and digital building information models will likely to be available for most buildings (including historical buildings) in the future, our system can be used in various demolition and renovation projects and be extended to facilitate project control.
Pure spin currents generated by surface acoustic waves

The ability of spin-polarized currents to interact with magnetic states has strongly impacted computation technologies, being exploited by read-heads and by writing–heads on spin-transfer-torque MRAM memories. Today, the most active field in spintronics aims at the generation of pure spin currents, which differ from spin-polarized currents in that they do not involve net flow of charge. Thus, Joule heat losses and Oersted fields are drastically cut down increasing the stability and reducing the energy consumption of electronic nano-devices. The two main strategies to generate spin currents are focused on (i) the spin-pumping effect arising from magnetization excitations in a ferromagnet, and (ii) the spin Seebeck effect. The latter is particularly interesting, since it involves temperature gradients to create the spin currents. Thus, any generation of heat dissipation –usually unwelcome in electronic devices– would be harnessed to produce useful spin currents by creating temperature gradients. The downside is that heat dissipation is a non-directional phenomenon, spreading slowly in all directions, which makes it unattractive for applications. Interestingly, surface acoustic waves (SAW) are fast and strongly directional strain waves that produce local and directional heat, which could eventually be used to generate spin currents through spin Seebeck effect. Moreover, SAWs can dynamically couple by strain to nano-magnets leading to spin excitations that could also be exploited to generate spin currents through spin pumping. Finally, SAWs constitutes an energy efficient technology well established in commercial applications. Therefore, by using SAWs the two strategies to generate spin currents can be contrived to cooperate in an energy-efficient way extremely appealing for the implementation of pure spin currents in commercial devices. In this project we propose to develop the proof of concept of a spintronic nano-device based on pure spin currents created by SAWs.
Strengthening joint programming in europe

Building on the ERA-LEARN, NETWATCH & JPIs To Co Work predecessor projects ERA-LEARN 2020 will provide an integrated framework to make P2P more efficient and effective and support national and regional funding organisations in the preparation, implementation and monitoring of joint actions. 
ERA-LEARN 2020 will increase mutual learning within the P2P community and will thereby support the implementation of streamlined mechanisms. Useful input will be provided towards the analysis and possible future development of P2P formats. ERA-LEARN 2020 will highlight synergies between different forms of national/regional programme coordination and facilitate high-level analysis of P2P policy-related issues. It will provide tools for analysis and communication formats for supporting future developments of transnational programme coordination.
The ERA-LEARN 2020 team is highly qualified & complementary with national authorities and experts for analysis with many years experience of P2P at both the operational and policy levels. 
ERA-LEARN 2020 will:
1. provide a web-based information, learning and support platform for P2P to avoid duplication of efforts;
2. support the ongoing optimisation of P2P networks by providing a toolbox for the wider activities of joint programming, particularly the JPIs, Art.185 and  ERA-NET Cofund instrument, as well as their associated impacts;
3. implement a systematic process for monitoring & impact assessment of P2P networks, including their impacts at both the policy, programme and co-funded RTD project-level; 
4. assess and benchmark current approaches to alignment and explore options for new modalities to better align national and/or regional activities under common research agendas;
5. implement an annual cycle of knowledge exchange aimed at increasing the impact of investment in P2P activities and exploring options to support less research intensive countries.
ROAD SAFETY BARRIERS

A road safety barrier having four or more ropes (4-7) supported by posts (1-3) rigidly mounted on or in the ound is described. Each rope is held in tension against the posts and follows a sinuous path between the posts. The ropes are tensioned against the posts and this gives rise to a combined frictional resistance to displacement of the ropes relative to each post along the length of the safety barrier. The structure of at least some of the posts and/or their mounting with respect to the ground defines a minimum bending yield strength in a direction along the length of the barrier. This minimum bending yield strength is greater than the bending moment resulting from the combined frictional resistance forces acting on the post.
Mechanisms of Memory Dysfunction during High Altitude Hypoxia Training in Military Aircrew

Abstract Objectives: Cognitive dysfunction from high altitude exposure is a major cause of civilian and military air disasters. Pilot training improves recognition of the early symptoms of altitude exposure so that countermeasures may be taken before loss of consciousness. Little is known regarding the nature of cognitive impairments manifesting within this critical window when life-saving measures may still be taken. Prior studies evaluating cognition during high altitude simulation have predominantly focused on measures of reaction time and other basic attention or motor processes. Memory encoding, retention, and retrieval represent critical cognitive functions that may be vulnerable to acute hypoxic/ischemic events and could play a major role in survival of air emergencies, yet these processes have not been studied in the context of high altitude simulation training. Methods: In a series of experiments, military aircrew underwent neuropsychological testing before, during, and after brief (15 min) exposure to high altitude simulation (20,000 ft) in a pressure-controlled chamber. Results: Acute exposure to high altitude simulation caused rapid impairment in learning and memory with relative preservation of basic visual and auditory attention. Memory dysfunction was predominantly characterized by deficiencies in memory encoding, as memory for information learned during high altitude exposure did not improve after washout at sea level. Retrieval and retention of memories learned shortly before altitude exposure were also impaired, suggesting further impairment in memory retention. Conclusions: Deficits in memory encoding and retention are rapidly induced upon exposure to high altitude, an effect that could impact life-saving situational awareness and response. ( JINS , 2017, 23 , 1–10)
VEHICLE CONTROL UNIT HAVING A MICROCONTROLLER THE SUPPLY VOLTAGE OF WHICH IS MONITORED AND ASSOCIATED METHOD

A vehicle control unit (CD) has a microcontroller (MC), to which multiple analog supply voltages (VCC1 with VCCn) are applied, and a monitoring unit (MU) for the functional monitoring of the microcontroller (MC). The microcontroller (MC) comprises an A/D converter (ADC1) for the conversion of the plurality of analog supply voltages (VCC1-VCCn) into digitized supply voltages. A computing area (LL2) of the microcontroller (MC) which is secured by a computer is provided for monitoring said digitized supply voltages of the microcontroller (MC), the plurality of digitized supply voltages being monitored in said area as to whether they are within predetermined tolerance ranges (TB1, TB2).
Improve biorefinery operations through process intensification and new end products

Building on successful projects and relevant assets from partners and an interdisciplinary approach, BioSPRINT applies process intensification in the context of biorefining operations, so as to improve the efficiency of the purification and conversion of sugars from the hemicelluloses fraction of lignocellulosic biomass and to enable their transformation into new bio-based resins for substituting fossil based polymers in a range of applications. The ultimate objective is to lead to a reduction in operation costs, feedstock and energy resources, greenhouse gas emissions and higher yields, while increasing operation safety, by concentrating on technologies which can intensify processing methods and create an integrated biorefinery concept.  Of particular interest in BioSPRINT is the valorisation of hemicelluloses streams derived from hard wood and straw, from processes employed in the production of paper pulp or biofuels. Such streams are readily available from the pilot or production processes of the project’s research and industrial partners (Fraunhofer and UPM). A case study using a stream from Clariant will also be carried out.  With regards to processing technologies, BioSPRINT will focus on 4 activity areas (a) Upstream purification; (b) Catalytic conversion; (c) Downstream purification and (d) Polymerisation. The project will develop and validate an intensified and integrated purification strategy leveraging innovative anti-solvent precipitation and membrane separation methods, novel intensified and integrated catalytic processes for dehydration of C5 and C6 hemicelluloses sugars into monomers, extractive-reaction methods to isolate the reaction products from the reaction medium in situ, heterogeneous catalysts and an intensified polymerisation process for furan-based derivatives. Cross-cutting activities will cover process simulation and optimisation, an integrated Lifecycle sustainability assessment, standardisation, dissemination and exploitation activities
Integrating BIM and GIS to improve the visual monitoring of construction supply chain management

Abstract In recent years, with the increasing level of competition in the global construction market, several research efforts have focused on the application of information technology (IT) as a way to improve the integration process of construction supply chain management (CSCM). Visual representation of the process can provide an effective tool for monitoring resources in the CSCM. In order to support this objective, this paper integrates building information modeling (BIM) and geographic information systems (GIS) into a unique system, which enables keeping track of the supply chain status and provides warning signals to ensure the delivery of materials. First, the proposed methodology is implemented by using BIM due to its capability to accurately provide a detailed takeoff in an early phase of the procurement process. Furthermore, in order to support the wide range of spatial analysis used in the logistics perspective (warehousing and transportation) of the CSCM, GIS is used in the present model. Thus, this paper represents the integrated GIS-BIM model manifesting the flow of materials, availability of resources, and “map” of the respective supply chains visually. A case example is presented to demonstrate the applicability of the developed system.
Learning heuristics in preference elicitation tasks: insights from behavioural, computational and neurobiological investigations

Although decision theory assumes that when making a choice, individuals attribute values to available options, compare those values and select the option with the highest, the succession of choices faced during classical preference elicitation tasks might trigger the emergence of additional heuristics, implemented to perform those tasks in a fast, yet adaptive manner. This project aim at pioneering the isolation of such heuristic development, in a dynamical framework where both the task features and the agents’ own preferences are learned from previous trials, and influence subsequent behavior. This framework suggests that agents’ preferences will depend on the choice sequence, thus vary according to predictable patterns through different instantiations of the same task. Thereby, it captures a new component of individual preferences, which we refer to as task-related preferences. Combining behavioral experiments, computational modelling and functional brain imaging, we propose to reveal and measure the behavioral variance accounted by the task-related preferences, to model their emergence during the task, and to incorporate them in a coherent neuro-cognitive model of decision-making. Overall, this project will contribute to 1) refine current neurocognitive and economic models of decision-making, 2) train a promising cognitive neuroscientist to tackle human decision issues relevant to social sciences, with advanced quantitative economic/computational tools, and 3) foster fruitful cross-talks between scholars from economics, psychology, and neuroscience at the host institution. The scientific contribution seems particularly important given that preferences are one of the current conceptual cornerstones used to understand our society at the micro- and macroeconomic level, to guide and assess public policies aiming to maximize people’s well-being, to characterize normal and pathological behaviors, and to unravel the neurobiological mechanisms underlying decision-making.
Gravitational and electric energies in the collapse of a spherical thin-shell capacitor

We adopt a simplified model describing the collapse of a spherical thin-shell capacitor to give an analytical description how gravitational energy is converted to both kinetic and electric energies in the gravitational collapse. It is shown that (i) averaged kinetic and electric energies are the same order, about an half of gravitational energy of spherical thin-shell capacitor in the collapse; (ii) caused by radiating and rebuilding electric energy, the gravitational collapse undergoes a sequence of "on and off" hopping steps in the microscopic Compton scale. Although the collapse process is still continuous in terms of macroscopic scales, it is slowed down as the kinetic energy is reduced and collapsing time is about an order of magnitude larger than that of the collapse process eliminating electric processes.
Credit expansion and development – A Schumpeterian and Keynesian view of the Chinese miracle

In neoclassical thinking, insufficient development is considered the result of a lack of resources, and an inefficient allocation. Deregulated markets have to guarantee a better allocation of resources as well as a net resource inflow to augment the domestic physical capital stock. From a Schumpeterian-Keynesian perspective, it is not the lack of physical resources and optimal allocation which prevent development. It is first and foremost the lack of a sufficient credit-investment mechanism which leads to the perpetuation of underdevelopment. It is shown here that the Schumpeterian-Keynesian perspective gives a much more plausible interpretation of the Chinese development than the neoclassical perspective. It is also shown under which regulations and conditions a credit-investment process in developing countries is possible.
Fostering the sustainable usage of renewable energy sources in Central Europe - putting biomass into action

Recently, the EU has set high aiming targets for renewable energy in its proposal on a directive for the promotion of energy from renewable energy sources (RES). Biomass is to play an important role in living up to the objectives set out by the Commission. At the same time member states are called to draw up national Biomass Action Plans. _x000D_
Contrary to other RES, supply of biomass is limited by the land available for its production. With rising pressure to produce biomass with low input and maximum yields and the choice to produce either for food or non-food usage, “competition of use” and “environmental sustainability” becomes a core issue of any national, regional or European bioenergy strategy. This is especially true for Central Europe, where the biomass potential is estimated to be particularly large. _x000D_
Furthermore increasing demand for biomass bears the risk of unsustainable intensified agricultural production and competition of use. 4BIOMASS will assess the production of biomass and bioenergy according to its sustainability. Resource availability, efficiency and trade will be assessed to mitigate competition of use issues. Only safe technologies and systems will be promoted. _x000D_
The goal of 4BIOMASS is to facilitate a complementary and integrated development in the region to generate synergies in the efficient exploitation of biomass in Central Europe. An integrated approach is needed, including cross-sectoral interests from producers, trade, energy suppliers, policy makers, consumers, NGOs and others. These stakeholders are acting on all vertical levels, thus for successful action, local, regional, national, transnational and supranational levels have to be involved._x000D_
Vidar: r-enabled large-scale data analytics in vida

In this project we will build ViDaR, an interface for integrating R with ViDa. R is among the leading data analytics environments (the leading open-source), and is heavily used by data and domain scientists and data analysts in their daily routine. ViDa, developed by an ERC grant, is the state-of-the-art query engine for raw data. It relies on data virtualization, i.e., abstracting data out of its form and manipulating it regardless of the way it is stored or structured, to enable efficient, scalable, querying and manipulation of data in-situ, at their raw format and shape. Integration of ViDa with R will have a positive impact on both systems. For ViDa, it will provide capabilities for data exploration, visualization, mining and analytics, as well as powerful libraries for numerical and statistical computing, thereby substantially growing its user base. For R, it will increase its scale and performance, and reduce the time and effort spent by data scientists on tedious data management tasks. The resulting solution will serve as a proof-of-concept of ViDa’s performance, capabilities, and flexibility for integration with any third-party software that needs to manage vast amounts of raw data.
A GPU-accelerated adaptive discontinuous Galerkin method for level set equation

This paper presents a GPU-accelerated nodal discontinuous Galerkin method for the solution of two-and three-dimensional level set LS equation on unstructured adaptive meshes. Using adaptive mesh refinement, computations are localised mostly near the interface location to reduce the computational cost. Small global time step size resulting from the local adaptivity is avoided by local time-stepping based on a multi-rate Adams–Bashforth scheme. Platform independence of the solver is achieved with an extensible multi-threading programming API that allows runtime selection of different computing devices GPU and CPU and different threading interfaces CUDA, OpenCL and OpenMP. Overall, a highly scalable, accurate and mass conservative numerical scheme that preserves the simplicity of LS formulation is obtained. Efficiency, performance and local high-order accuracy of the method are demonstrated through distinct numerical test cases.