SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Policy Learning in Information Technologies for Public Transport Enhancement

POLITE addresses infomobility, specifically the problem of providing travellers with adequate & complete information on the Public Transport (PT) services available in a region at different geographic levels. POLITE promotes public actions to enhance the awareness of travellers’ choice & to increase the use of PT services.
POLITE promotes the exchange, discussion & transfer of experiences & improvement on policies, knowledge & good practices on infomobility. This exchange is focused on policy & planning levers and implemented by advanced & less experienced sites. Some of them can be considered as “good practice” sites, others as “transfer” sites.
POLITE bases its approach on the study of EU good practices for developing tools to support policy making, including:
- Training sessions, workshops, round tables, policy-oriented events, in which the project administrations & further EU ones improve their technical and policy skills & knowledge with the goal of addressing policy developments;
- Development of publications and training products, which will record the knowledge gained during the project and which are usable by further pub. adminitrations.
Partners will use these tools to develop local implementation plans, outlining the local roadmaps for policy development on public transport information systems. POLITE actively dialogues with other transfer sites from outside the partnership, offering support for bilateral exchange on selected infomobility topics as well as training on the project topics.
The project also contributes to:
- increase the capacity of public admin. staff to implement more effective and efficient policy levers and planning approaches to traveller information systems;
- directly improve the national, regional and local policies.
The consortium is composed by different entities representing different geographic levels (national, regional, local and a EU network).
This multilevel partnership allows to approach the issue of traveller information
systems in a holistic & innovative way as it targets the relationships between the information needed by travellers at different territorial levels, to serve as an input to the definition of public policies in a perspective which enables interoperability among information systems & a consequent increase of PT attractiveness. 
The consortium is composed by:
- good practice sites: Province of Ferrara (IT), Reading Borough Council (UK).
- transfer sites: Calabrian Regional Administration (IT), CDV (CZ), ILIM (PL) and LaTDEA (LV).
- Network: POLIS (BE).
ILIM and LaTDEA are public equivalent bodies involved in the policy making activities respectively in Poland and Latvia. CDV represents the Czech Ministry of Transport. POLIS is an European Network for identifying, developing and targeting key public administration stakeholders working in transport, differentiating between local/regional and national stakeholders.
OPEN GRID NAVIGATIONAL SYSTEM

To assist a player in navigating an open grid within a game or virtual environment, a global indicator and a local indicator are displayed within the virtual environment. The global indicator continuously indicates a straight line direction between an object controlled by the player and a next goal unattained within the virtual environment. As the object approaches within a predefined distance from a turn that should be taken to reach the next unattained goal, a local indicator is displayed showing the direction that the object should be turned to reach the goal. The local indicator is removed from the display after a predefined time has elapsed. Preferably, the local indicator is not displayed before a turn so long as continuing to move the object along a current path without turning at the next turn will permit the object to reach the next unattained goal.
INTELLIGENT CONTROL OF WECS SUBJECT TO PARAMETER UNCERTAINTIES, ACTUATOR AND SENSOR FAULTS

This paper proposes the robust fuzzy fault tolerant control (FTC) problem for the fuzzy Takagi-Sugeno (TS) systems with sensor faults and actuator faults in the presence of parameter uncertainties. The TS fuzzy model is first employed to approximate a nonlinear uncertain system, and then the fuzzy sensor fault, fuzzy actuator fault model and the fuzzy state observer are developed. Sufficient stabilization conditions of the fuzzy FTC systems are given, which are formulated in terms of linear matrix inequalities (LMIs). The LMIs can be efficiently solved using the convex optimization techniques. Finally, fuzzy observer based on fuzzy fault tolerant controller is developed. It is proved that the fuzzy control system is reliable in the sense of that the closed-loop system is asymptotic stability and the all sensor and actuator components can operate well in the presence of some component failures. The control scheme is tested for real profiles of wind speed pattern and provides satisfactory results
Detection of elements and radioactivity in pellets from long-eared owls (Asio otus) inhabiting the city of Belgrade (Serbia)

In this study, we analysed pellets from long-eared owls (Asio otus) collected from four localities in Belgrade (Serbia). The pellets contained the remains of prey, namely voles (Arvicola terrestris) and field mice (Apodemus agrarius). The concentrations of 14 elements (Ca, P, Mg, Na, K, Fe, Zn, Sr, Ba, Mn, Ti, Cu, Si, B) were evaluated in whole pellets and in samples containing only bone tissue, which were dissected from the whole pellet. The increased levels of certain elements, including Mn, Zn, Ba, Cu and radioactive 40K, indicate contamination of the soil by various sources, such as industrial plants and agricultural practices. From the results presented in this article, we suggest that the analysis of owl pellets may indicate the quality of the local environment.
Hybridfret - deciphering biomolecular structure and dynamics

To understand and modulate biological processes, we need their spatiotemporal molecular models. In this project we propose to build these models by a holistic approach. The recent methodological and technical advances in fluorescence spectroscopy and microscopy as well as in multi-scale modelling of complex biochemical systems set the stage to tackle cross-fertilizing challenges in biophysics, biochemistry and cell biology. The applicant proposes to develop a novel integrative platform for a Molecular Fluorescence Microscope (MFM) to achieve ultimate resolution in space (sub-nanometer) and time (picoseconds) for characterizing structure and dynamics of proteins. MFM will combine Multi-parameter Fluorescence Detection with Computational Microscopy (molecular dynamics and coarse grained simulations) in a hybrid approach, first, to derive a complete molecular description of all fluorescence properties of the tailored dyes in proteins (objectives 1 and 2) and, second, to utilize this information in simulations to report on the protein properties (objective 3). In this hybrid approach high precision FRET measurements are the core experimental technique (hybridFRET). The MFM will allow us to tackle the central biophysical question of how intra- and intermolecular domain interactions modulate proteins' overall structure, dynamics, and thus ultimately function (objective 4). In this proposal we will apply MFM to two prototypic proteins of significant medical relevance. The combination with Multi-parameter Fluorescence Image Spectroscopy will exploit the ultimate resolution of the MFM for molecular protein imaging in live cells. To follow and ultimately understand biological processes, we need their spatiotemporal models of the integrative fluorescence spectroscopy platform. Until now, no holistic use of fluorescence spectroscopy for structural modelling of proteins has been reported.
Hydrogen for all of europe (hy4all)

Despite major technological development and the start of commercial deployments of the fuel cells and hydrogen technology, the public awareness of FCH technologies has lagged behind this technical progress so far, restricting the appetite of potential customers and risking a lack of support from policymakers. 
To address this challenge, a consortium of leading experts has come together, combining communication experts, PR of established manufacturers and technology suppliers and world-class experts on the societal benefits of low carbon technologies. Together, the they will deliver HY4ALL, an ambitious programme to drive a step-change in awareness and excitement around fuel cells and hydrogen and deliver clear and consistent messages that resonate with all audiences, from policymakers to the general public. The project will be active in minimum 11 member states, and will be closely linked to the large numbers of existing hydrogen initiatives and demonstrations, maximising its impact and allowing the communication strategy to influence dissemination work beyond the project for lasting effects.
The project aims will be delivered through the following activities:
• Development of an overarching communication strategy, that will form the basis for all subsequent project activities and will allow the FCH community to speak with ‘one voice’
• Creation of an interactive web portal for FCH technologies, providing a ‘one stop shop’ for visitors seeking information and acting as a single brand and hub for all other dissemination activities
• A cross-European ""hydrogen for society"" roadshow with fuel cell vehicles travelling between cities across the EU. The roadshow will form the focal point for a variety of innovative dissemination activities, public debates, co-hosting of national vehicle and infrastructure launches
• A robust assessment of of the macro-economic and societal benefits of FCH technologies, providing fact-based analysis used to convey clear messages
SYSTEM AND METHOD FOR VERTICAL AND HORIZONTAL IN-FILL INSTALLATION

Disclosed is a fence system. The fence system, comprising: a first post; a second post, wherein each of the first post and the second post comprises a first set of ribs and a second set of ribs; a lower rail, wherein a first end of the lower rail is adapted to terminate at a face of the first set of ribs of the first post and a second end of the lower rail is adapted to terminate at a face of the first set of ribs of the second post; and an upper rail, wherein the lower rail and the upper rail are positioned to receive one or more infill boards, such that the one or more infill boards are adapted to terminate at a face of the second set of ribs of the first post and at a face of the second set of ribs of the second post.
SHARE - Sustainable Hydropower in Alpine Rivers Ecosystems

Hydropower is the most important renewable resource for electricity production in alpine areas: it has advantages for the global CO2 balance but creates serious environmental impacts. RES-e Directives require a renewable electricity enhance but, at the same time, the Water Framework Directive obliges member States to reach or maintain a water bodies "good" ecological status, intrinsically limiting the hydropower exploitation. Administrators daily face an increasing demand of water abstraction but lack reliable tools to rigorously evaluate their effects on mountain rivers and the social and economical outputs on longer time scale. The project intends to develop, test and promote a decision support system to merge on an unprejudiced base, river ecosystems and hydropower requirements. This approach will be led using existing scientific tools, adjustable to transnational, national and local normative and carried on by permanent panel of administrators and stakeholders.
Le fonti del discorso femminile nell'Elegia di Madonna Fiammetta

Nell’Elegia di Madonna Fiammetta Giovanni Boccaccio fa propria la voce di una fanciulla per narrare in prima persona un’intima esperienza amorosa e psicologica. La fonte principale è riscontrabile nelle Heroides, da cui il certaldese riprende le modalità del monologo al femminile e l’intento di conferire una finalità morale alla vicenda, sulla falsa riga dei limiti medievale dell’esegesi ovidiana. L’articolo pretende esaminare le tecniche retorico-persuasive impiegate nel discorso della donna e funzionali al racconto esemplare, tanto per quanto riguarda le parti dialogiche come i soliloqui in cui la narrazione si articola. Per mettere in atto un’accurata ricerca sulle fonti, saranno presi in considerazioni non solo i testi classici e mediolatini che Boccaccio registrò nei suoi Zibaldoni, ma anche le tradizioni letterarie in lingua volgare di area italiana, tra le quali spicca sopra ogni altra la Vita Nova di Dante. A queste si aggiungeranno le opere di area francese che l’autore ebbe modo di conoscere durante il suo soggiorno presso la corte angioina a Napoli.
Synthesis of systematic resources

European natural history collections are a critical infrastructure for meeting the most important challenge humans face over the next 30 years – mapping a sustainable future for ourselves and the natural systems on which we depend – and for answering fundamental scientific questions about ecological, evolutionary, and geological processes. Since 2004 SYNTHESYS has been an essential instrument supporting this community, underpinning new ways to access and exploit collections, harmonising policy and providing significant new insights for thousands of researchers, while fostering the development of new approaches to face urgent societal challenges. SYNTHESYS+ is a fourth iteration of this programme, and represents a step change in evolution of this community. For the first time SYNTHESYS+ brings together the European branches of the global natural science organisations (GBIF, TDWG, GGBN and CETAF) with an unprecedented number of collections, to integrate, innovate and internationalise our efforts within the global scientific collections community. Major new developments addressed by SYNTHESYS+ include the delivery of a new virtual access programme, providing digitisation on demand services to a significantly expanded user community; the construction of a European Loans and Visits System (ELViS) providing, for the first time, a unified gateway to accessing digital, physical and molecular collections; and a new data processing platform (the Specimen Data Refinery), applying cutting edge artificial intelligence to dramatically speed up the digital mobilisation of natural history collections. The activities of SYNTHESYS+ form a critical dependency for DiSSCo - the Distributed System of Scientific Collections, which is the European collection communities ESFRI initiative. DiSSCo will undertake the maintenance and sustainability of SYNTHESYS+ products at the end of the programme.
Does the Stock Market Compensate Banks for Diversifying into the Insurance Business?

This paper explores a wide range of corporate restructurings, all available deals from wire services, in the banking and insurance sectors that led to bancassurance ventures. An event study methodology is employed to calculate excess returns on and around the deals’ announcement date. Using both univariate and multivariate analysis the paper finds bank driven mergers, deal's size and regional categorization all triggering positive and significant market reactions. Unlike the univariate framework, multivariate analysis shows that geographic focus and language are not significant factors. The results also indicate that markets are indifferent with respect to bank withdrawals from the bank-insurance operations. Finally, Canadian, U.S. and European bank-insurance deals produce positive results, while Australasian bidders offer statistically insignificant equity returns.
The first commercial cubesat constellation for early detection and real time monitoring of wildfires across the entire globe

OroraTech aims to launch a constellation of 100 CubeSats (the biggest one in Europe and the third biggest in the world) to provide high resolution thermal images of the entire globe enabling the automatic detection and real time monitoring of wildfires across the globe. Fuelled by rising temperatures, wildfires have become more common, deadly, expensive and difficult to contain, resulting in over 200 deaths and damage >€23bn in the EU and US alone, in 2018. Their causes are unpredictable and so the only solution is early detection and suppression. With 4% of the earth’s surface affected, there are no technologies to viably provide continuous high resolution monitoring, with current satellite technology either having a too low resolution or inadequate overpass frequency.
OroraTech provides a breakthrough by integrating the latest advances in miniature electronics, computing and space technology to deliver the first commercially viable CubeSat delivering high resolution thermal imaging. We will cover the whole earth at 0.1% of current satellite technology costs providing 24hr surveillance at a high resolution delivering data in a matter of minutes. This will reduce fire suppression costs by 25% and detection infrastructure capital costs by up to 90% resulting in global savings in the order of billions of euros. With wildfires contributing 20% of global CO2 emissions annually, our solution potentially reduces global CO2 emissions by >2%.
We are attacking a high growth market worth over €7bn/yr by 2027 with over 16 million potential customers in EU alone. We have already received the support of the German Aerospace Centre, European Space Agency, and Global Fire Monitoring Centre, and attracted the attention of the biggest forest service (US) in the world.
Visually guided grasping and its effects on visual representations

I ask how vision guides grasping, and conversely, how learning to grasp objects constrains visual processing. Grasping an object feels effortless, yet the computations underlying grasp planning are nontrivial and there is an extensive literature describing the multifaceted features of visually guided grasping. I aim to bind this fragmented body of knowledge into a unified framework for understanding how humans visually select grasps. To do so I will use motion-tracking hardware (already in place at the University of Giessen) to measure and model human grasping patterns to 3D objects. I will rely on Dr. Fleming’s unique expertise with physical simulation to simulate human grasping with objects varying in shape and material. Joining behavioral measurements with computer simulations will provide a powerful data- and theory-driven approach to fully map out the space of human grasping behavior. The complementary goal of this proposal is to understand how grasping constrains visual processing of object shape and material. I plan to tackle this goal by building a computational model of visual processing for grasp planning. Both Dr. Fleming and I have previous experience with computational modelling of visual function. I will exploit powerful machine learning techniques to infer what kinds of visual representations are necessary for grasp planning. I will train Deep Neural Nets (for which the hardware and software is already in place and in use by the Fleming lab) using extensive physics simulations. Dissecting the learned network architecture and comparing the network’s performance to human behavior will tell us what information about shapes, material, and objects the human visual system encodes to plan motor actions. In short, with this research I aim to determine how processing within the human visual system is shaped by and guides hand motor action.
Center of excellence in combustion

The Center of Excellence in Combustion (CoEC) is a collective effort to exploit Exascale computing technologies to address fundamental challenges related to the simulation of combustion systems. The CoEC vision is aligned with the decarbonization goals of the European power and transport sectors and the European roadmap to achieve net-zero greenhouse gas emissions by 2050. The consortium is composed by leading institutions in the fields of computational combustion and High-Performance Computing. It promotes a core of scientific and technological activities aiming at extending the state-of-the-art in combustion simulation capabilities through advanced methodologies enabled by Exascale computing. These advances will increase the TRL of representative codes from the EU combustion community. Selected Exascale Application Challenges are used to create demonstrators and validate the project achievements. The most ready technologies will be the basis of a service portfolio to support the academic and industrial activities in the power and transportation sectors. This will eventually increase the EU competitiveness and leadership in power and propulsion technologies.
A comparison of ANFIS and MLP models for the prediction of precipitable water vapor

This paper aimed to compare the adaptive neuro fuzzy inference system (ANFIS) with multi layer perceptron (MPL) of artificial neural network (ANN) structure in estimating the precipitable water vapor (PWV) value. The estimation is based on the surface meteorological data as input from the Malaysian environment and the results of these models were compared with PWV observed by GPS. Two kinds of training data sets were provided to develop these models based on the data gathered from UKMB and UMSK stations at one-minute resolution. To perform of these models, a correlation coefficient (r), root mean square (RMSE) and percent error (PE) were employed. Results showed that the correlation coefficient (r), RMSE and PE of ANFIS model for UKMB station were 0.999, 0.018, and 0.023 and 0.979, 0.019, 0.028 for UMSK station, respectively. For MLP model, the values are 0.975, 0.337 and 0.390 for UKMB station and 0.978, 0.305 and 0.443 for UMSK station. Based on the above results, both models showed strongest correlation. However, RMSE and PE for MLP model are higher ~5.5% and 5.59% compared with the ANFIS model. This indicated that ANFIS model has better performance and can be proposed as an alternative method in estimating the PWV value where the GPS data in a specific location is absent.
From Domain-Specific Language to Timed Automata. Automatic Translation and Verification of Contract Specifications

Analysis of contracts is becoming an increasingly important subject due to the amount of agreements on the web. In this thesis a compositional formal language, Simplified
Contract Language, SCL, is used to represent contracts. A translation between SCL and Timed Automata is designed and implemented, in order to verify contracts using temporal logic. UPPAAL is used as the timed automata verifying tool. 
The translation is shown to preserve the behavioral semantics of the SCL. The translation is tested thoroughly, using QuickCheck, against an implementation of the semantics
in terms of trace acceptance. A case study of a university course, modeled as a contract, is done. It shows that it is possible to use the SCL and the translation for analyzing a real world contract with different traces. The case study also shows that when randomly generating events the state space can get large enough to slow down the verification speed significantly.
Probabilistic Model-Based Analysis to Improve Software Energy Efficiency

Software energy consumption has recently become a concern in software development. However, developers still lack knowledge about how to produce, evaluate and evolve their software considering energy consumption, which might limit their execution in some platforms and prevent users from adopting them. Towards providing more support for energy consumption analysis, we provide a set of properties to analyse software consumption considering not only energy costs but also probabilistic information. We demonstrate how to use, combine and interpret the results of analyses of these properties. We discuss experiments involving the analysis of the proposed properties in different scenarios and how, based on the results of these analyses, recommendations of possible actions to adjust energy consumption can be proposed.