SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Intelligent bulk materials for smart transport industries.

MASTRO Project aim is to develop intelligent bulk materials for the transport sector based on the novel concepts like self-sensing, self-deicing, self-curing, self-healing and self-protection methodologies to increase consumer safety, component life-span and performance while reducing maintenance and manufacturing costs. The functionality of the developed components will be demonstrated under relevant conditions at prototype level for the aerospace, automotive and transport transport networks. These developments will be supported by theoretical material models to capture the self-responsive functionalities. The outputs of the Project will consist of numerous applications in these sectors.
The matrices addressed consist of lightweight polymer composites like glass/carbon fibre reinforced polymers and thermoplastic materials (including melt-spinning for textiles used in the transport sector) together with asphalt and concrete formulations incorporating electrical carbon-based conductive nanomaterials. These self-responsive functionalities are based on two physical phenomena: piezoresistivity and Joule effect. The aim of self-responsiveness properties can be summarized as follows:
Self-sensing: to confer to the intelligent components the ability to monitor/store data about its own condition in terms of vibrations, defects, fatigue, creep and strain.
Self-deicing: to avoid the ice layer formation or the loss of performance due to cold weather. 
Self-curing: to increase quality and durability while reducing manufacturing cost of the polymer composites and cement concrete formulations by improving the curing process step.
Self-healing: to aid the repair of polymer composites and asphalt concrete formulations by healing those materials without the need of an external and expensive maintenance operation.
Self-protection: to minimize the failure occurrence in case of electrostatic charge accumulation or lightning impacts by discharging the voltage through the smart component
Incidence and Time Path of Lymphedema in Sentinel Node Negative Breast Cancer Patients: A Systematic Review

To systematically assess the incidence/prevalence and time path of lymphedema in patients with sentinel node-negative breast cancer.A systematic literature search up to November 2013 was performed using 4 different electronic databases: PubMed, Embase, Cochrane Clinical Trials, and Web of Science.Inclusion criteria were as follows: (1) research studies that included breast cancer patients who were surgically treated using the sentinel lymph node biopsy (SLNB) technique; (2) sentinel node-negative patients; (3) studies that investigated lymphedema as a primary or secondary outcome; (4) data extraction for the incidence or time path of lymphedema was possible; and (5) publication date starting from January 1, 2001. Exclusion criteria were as follows: (1) reviews or case studies; (2) patients who had an SLNB followed by an axillary lymph node dissection (ALND); (3) results of ALND patients and SLNB patients not described separately; and (4) studies not written in English.After scoring the methodological quality of the selected studies, the crude data concerning the incidence of lymphedema were extracted. Data concerning the time points and the incidence of lymphedema were also extracted.Twenty-eight articles were included, representing 9588 SLNB-negative patients. The overall incidence of lymphedema in patients with sentinel node-negative breast cancer ranged from 0% to 63.4%. The studies that have assessed lymphedema at predefined time points, instead of a mean follow-up time, demonstrated an incidence range at ≤3, 6, 12, 18, or >18 months postsurgery of 3.2% to 5%, 2% to 10%, 3% to 63.4%, 6.6% to 7%, and 6.9% to 8.2%, respectively.In SLNB patients, lymphedema is still a problem, mostly occurring 6 to 12 months after surgery. Because of different assessments and criteria, there is a wide range in incidence. Clear definitions of lymphedema are absolutely necessary to tailor therapy.
Development of an innovative sustainable strategy for selective biorecover of critical raw materials from primary and secondary sources

The objective of BIORECOVER is the R&D of a new sustainable & safe process, essentially based on biotechnology, for selective extraction of a range of Critical Raw Materials, from relevant unexploited secondary & primary sources:
-Rare Earths from Bauxite Residue from Greece (MYTILINEOS)
-Magnesium from Mg wastes of low grade minerals and calcination by-products- from Spain (MAGNA)
-Platinum Group Metals from flotation tailings from South Africa (UWITS) & PGM slags, dusts and press cake from United Kingdom (JM)
To this end, BIORECOVER will be based on the integration of 3 main stages to reach the expected recovery rates (90%), selectivity (95%) & purity (99%) (TRL from 2-3 to 5):
(1) Remove the major impurities presents in raw materials sources to achieve the greater availability of the target metals for their recovery.
(2) Mobilise these metals through specific and improved microorganisms to get a leachate enriched with the target CRMs.
(3) Development of a specific technology for recovering metals with high selectivity & purity that meet the quality requirements for its reuse.
Downstream processes will be also studied of the recovered metals for their reuse (brakes pads, oxygen sensors, powder Mg & catalysts). The different stages of the process provide it modular capacity increasing its adaptation flexibility and thus, further market penetration.
LCA & LCC and a Decision Making Framework will support these aims. The awareness, trust & acceptance of the society about the importance of raw materials will be addressed by an awareness campaign and public perception studies. The project results will contribute to EU bio-mining knowledge (RMIS) and a communication with other key project will be also set up.
To achieve this ambitious project, a multidisciplinary consortium covering the whole value chain (from suppliers to end users) will be involved, being represented 7 member states across EU (ES, DK, FR, LE, PT, SE & UK) and effective international cooperation with ZA
Regulating staff enhancement in organisations (glasnost)

My project aims to assess the impact of human enhancement technologies used at work onto employees and their performance. Indeed, the use of human enhancement technologies in organisations can shape the fu-ture of work, i.e. how one performs at work, how one feels at work, how one relates to others and managers. It has implications in terms of employee well-being and health. My project will promote the consideration of ethical issues in the implementation of technologies used to enhance the performance of individual employ-ees in organizations. It will first look at how organisations and stakeholders consider ethics in the way they implement the use of enhancement technologies, and then it will consider the role of ethics in shaping em-ployee acceptance and experience of the technology. Based on these elements, I will design together with stakeholders guidelines for the implementation of human enhancement in the workplace and a policy brief. 
The nature of this project is grounded in Ethics and Information Systems Management (IS), while being poli-cy-driven. Mixing these skills will provide an innovative look on theories of acceptance in IS, a field that traditionally understands ethics as ‘privacy’. Holding a PhD in IS and a master’s degree in Political Sciences, I have expertise in investigating organisations, policy, as well as users’ perception of technology. However, I need to get training in Ethics in order to integrate the forms of ethical assessment and dimensions of ethics to the IS theory. I will complete this research while hosted at the Philosophy Department of the University of Twente (UT) and supervised by Prof. Philip Brey, which will allow me to grow expertise in applied ethics and ethics of technology, and through a 6 month secondment in Dublin City University (DCU) with an IS professor – Regina Connolly.
Influence of fault asymmetric dislocation on the gravity changes

A fault is a planar fracture or discontinuity in a volume of rock, across which there has been significant displacement along the fractures as a result of earth movement. Large faults within the Earth’s crust result from the action of plate tectonic forces, with the largest forming the boundaries between the plates, energy release associated with rapid movement on active faults is the cause of most earthquakes. The relationship between unevenness dislocation and gravity changes was studied on the theoretical thought of differential fault. Simulated observation values were adopted to deduce the gravity changes with the model of asymmetric fault and the model of Okada, respectively. The characteristic of unevennes fault momentum distribution is from two end points to middle by 0 according to a certain continuous functional increase. However, the fault momentum distribution in the fault length range is a constant when the Okada model is adopted. Numerical simulation experiments for the activities of the strike-slip fault, dip-slip fault and extension fault were carried out, respectively, to find that both the gravity contours and the gravity variation values are consistent when either of the two models is adopted. The apparent difference lies in that the values at the end points are 17. 97% for the strike-slip fault, 25. 58% for the dip-slip) fault, and 24. 73% for the extension fault.
Rapid integrity assessment of flexible risers for offshore oil and gas installations

This action will bring to market a unique product, RiserSure™, for assessing the condition of flexible riser pipes widely used in offshore oil and gas production. Riser failure is increasing and is costly (€3M per day from lost production alone). It damages the environment and creates the potential for major incidents. The Gulf of Mexico disaster in 2010 prompted very recent new safety legislation in the US and Europe (2015 US offshore safety drilling rule, 2013 EU Offshore Safety Directive). This is driving the uptake of non-destructive testing (NDT) to monitor riser condition.
Current techniques cannot reliably or efficiently assess flexible riser condition to provide advance warning of failure. Radiography is ideal as it penetrates all the layers in the pipe. However, current systems are designed for on-shore applications, not sub-sea.
The objective of this action is to take to market RiserSure™, which uses a novel subsea digital radiography detector. We will take the technology from TRL6 to TRL9 by optimising it for operation on flexible risers and adapting it to the needs of our customers – the NDT service providers and asset operators. Sub-sea field trials will demonstrate customer benefits. Within this 33 month project we will complete commercial and manufacturing preparations for product launch and lay the foundations for growth.
RiserSure™ will reduce the environmental impact and improve the safety of offshore production. It will improve the profitability of operators by reducing leaks and downtime, saving the industry €270M over 5 years. It will develop new revenues of €90M with a profit of €50M cumulative within 5 years of the end of the action; creating 139 new jobs for the SME led the consortium and an ROI of 148:1. Our industry-led consortium is requesting an EU contribution of €2,521,892 reflecting the costly nature of offshore testing, and our ambitious plans to achieve successful and rapid commercialisation of RiserSure™.
Towards Integration of CFD and Photosynthetic Reaction Kinetics in Modeling of Microalgae Culture Systems

Despite the growing interest in photosynthetic microalgae, e.g., as a source of biofuels, the mass cultivation of microalgae still exhibits many drawbacks and successful industrial applications are scarce. Reliable model integrating all relevant phenomena and enabling to assess the system performance, its in silico scale-up and eventually optimization, is still lacking. Here, we present a unified modeling framework for microalgae culture system. We propose a multidisciplinary modeling framework to bridge biology (cell growth) and physics (hydrodynamics and optics) together. This framework consists of (i) the state system (mass balance equations in form of advection-diffusion-reaction PDEs), (ii) the fluid flow equations (Navier-Stokes equations), and (iii) the irradiance distribution. To validate the method, the Couette-Taylor reactor, which hydrodynamically induces the fluctuating light conditions, was chosen. The results of numerical simulation of microalgae growth in this device show good agreement with experimental data.
PolyMETREXplus - Vers une Europe Métropolitaine Polycentrique

The idea of the project is to provide a specific, effective answer to the Scheme for Developing the Community Area, and especially to the three Political Options that refer directly to metropolitan areas. • To strengthen several large, global, economic integration areas in the EU. • To develop a more balanced, multi-central system for metropolitan regions and town networks. • Complementarity: to help strengthen and restore balance to urban structure throughout the territory by new methods, enabling towns and regions to complement each other and cooperate. Overall objective / Objectif général General objective: to provide effective, multi-central links between metropolitan areas, based on complementarity and cooperation, for balanced, sustainable development of European territory. Topic for cooperation: development of the territory on a metropolitan scale, based on an appropriate strategy, makes urban development more efficient. Moreover, in an interdependent European area, towns can add value to their policies while considering their position within an enlarged Europe. Expected results / Résultats attendus The expected results are: • A common understanding among regions and metropolitan areas of the potential of developing multi-central relations with each other, and identification of the main problems to be resolved and opportunities to be taken up. • Launch of a “Framework for a multi-central metropolitan Europe” and an associated “Plan of Action”. • Drafting of a “Programme of representative, interregional networking activities” among inter-regional partners to prove the feasibility and efficiency of a multi-central approach. In the longer term, PolyMETREXplus should contribute to “more balanced and sustainable development of the EU territory”— the objective of the Scheme for Developing the EU Area. Through the networking programme, the project should provide a context for efficient use of Structural Funds.
Relative rank theory: a computational model of preferences, choices, attitudes and opinions

People differ in their preferences and attitudes. But how do these preferences and attitudes relate to the choices people make and the opinions they express? People’s behaviour is ubiquitously and systematically context-dependent, but cognitive and economic models of choice have failed to provide accounts that satisfactorily reconcile the context-dependence of choice with the existence of stable individual differences. In social psychology, the related person-situation debate remains largely uninformed by current cognitive models. We propose to develop a new and integrative computational model which reconceptualises the relation between preferences, choices, attitudes, and expressed opinions. We suggest that people’s choices and expressed opinions cannot be understood in terms of stable underlying preferences and attitudes in the way that conventional models assume. We propose a radically different alternative, which brings insights from social psychology to bear on cognitive models of economic judgement and choice by distinguishing between underlying preferences and expressed preferences. Underlying preferences are stable characteristics of people, but do not inform everyday choices directly because people have no conscious access to the strength of their underlying preferences. Expressed preferences in contrast are learned, context-dependent, and do inform everyday choices directly. Bringing insights from cognitive models to social context effects, we implement a parallel distinction between underlying and expressed attitudes and quantify the concepts of authenticity preference and social extremeness aversion. Using agent-based modelling to link individual-level and network-level effects, we model effects of both choice context and social context within an integrative framework, and aim to account for individual choice as well as social network-level phenomena such as social norm influences, polarisation, and social contagion effects.
Culture and Heritage Added value to Regional policies for Tourism Sustainability

BACKGROUND

The CHARTS project focuses on the role of culture and heritage in the formulation and delivery of added-value to regional strategies for sustainable tourism development and integration into local, regional, national and EU policies. Partners will share experience on how improved management of cultural tourism destinations contribute to protection and enhancement of cultural heritage & landscape, as well as sustainable regional development policies, especially in relation to challenges of climate change and the economic crisis.

Eight Good Practices are analysed and exchanged, drawn from two existing networks: the European Cultural Tourism Network (ECTN), legacy of INTERRREG IIIC operation, and CHIRON (Cultural, Heritage promotion of Identity of Regions Observatory and Networking for cultural tourism) IIIB CADSES, coming together to work jointly, with Place Marketing delivered by the IIIC CultMark operation and other Initiatives inc.Cultural Routes of the Council of Europe.
OBJECTIVES

The overall objective is to build on, capitalise and exploit the outputs, methods, results, policies and strategies of previous projects and initiatives in the field of culture, heritage and sustainable tourism development strategies and to transfer highly relevant Good Practices between participating regions and Europe-wide, as important added-value to effective regional policy formulation and implementation, as well as contributing to the Lisbon & Gothenburg Agendas

PARTNERSHIP
The 13 Partners are from 11 EU counties, covering North (SE, LV), South (EL, IT, ES, CY), East (RO, BG) & West (UK, IE, BE), while 4 partners are from New Member States (LV, CY, RO, BG), ensuring a widespread EU geographical coverage. The Partnership comprises 2 elected regional authorities (UK, IT), 4 elected local government bodies (EL, IE, SE, ES), 2 national agencies/institutes (EL, RO), 2 regional tourism boards (CY, LV), 1 Local Authorities Union (BG), 1 University (ES) & 1 EU Network (BE).
MAIN ACTIVITIES

Identification, analysis, exchange & transfer of good practices on climate change, accessibility to heritage, effective partnerships, host communities, quality criteria, visitor information, place marketing and cultural routes, for sustainable tourism. Policy integration & added value. Charter. Award. Events. Exhibitions. Workshops. Conference.

EXPECTED OUTPUTS & RESULTS
Enhanced regional policies on Culture, Heritage & Sustainable Tourism; Added-value to past and existing initiatives
Increased knowledge in less developed regions of the EU (inc. new MS)
Creation of opportunities for employment in the Cultural and Tourism industries
Protection and preservation of culture and heritage sites and landscapes
Protection and preservation of the environment through the introduction and promotion of sustainable tourism strategies (Responsible tourism)
Better use of EU funds in the mainstream operational programmes with already proven successful best practices and policies.
Reinventing geo-location for iot

Nestwave brings a radically novel solution optimized for IoT geolocation. Based on 11 patents issued and pending, the Nestwave solution improves accuracy in urban canyon environments, increases indoor coverage, and reduces power consumption and costs as compared to existing solutions (2.5x accuracy and 1/10 of the power consumption at 1/3 of the cost of GNSS solutions).
The Nestwave solution is a combination of software integrated into a modem or GNSS chip and a cloud-based service used to complete the geolocation calculations, which will be sold to communication modem chipset vendors, GNSS chipset vendors, IoT device suppliers and IoT connectivity suppliers.  Nestwave’s unique, patented signal processing solution provides high accuracy and fast signal acquisition at low signal levels (e.g. behind buildings or indoor with signal strength 1,000 or 10,000 times weaker than in open, outdoor locations) or in the presence of signal reflections in urban environments.
Currently, the solution determines timestamps using a hybrid of GPS and 4G signal sources. The project funding will be used in part to create a more comprehensive, higher performance solution based on additional signal sources, including Galileo, BeiDou, 5G and WiFi. 
The performance of the Nestwave solution is reflected by the strong market interest we have experienced in the past 12 months: we have generated €360k from proof of concept projects related to LoRa geolocation and RTOS development.
Assuming an average customer lifetime value of €0.4 per IoT device, our total addressable market is estimated to €1.35Bn in 2022 growing to €2.15Bn in 2025, supporting a revenue forecast of €27M by 2025 and over 300 jobs created (directly and indirectly). 
Nestwave is led by an executive team combining 80 years of experience in the wireless industry (at NemeriX, Qualcomm, Sequans and Motorola).
Statistic Correlation Technique, MEMCDM Non-Numerical and Fuzzy System for Collaboration Determining of Dominant Factors of National Palm Oil Stock

Palm oil is the strategic commodities of the world and domestic of Indonesia. Indonesia is the biggest exporter of palm oil since 2006. As the biggest exporter, Indonesia can not be a price maker in international market. Besides Indonesia palm oil factory can not absorb all of crude palm oil production. This condition can disturbed to domestic crude palm oil stock and national foreign exchange or dollar when crude palm oil export decline. Therefor finding dominant factors of detect variable of stock problems are very important. The dominant factors is found by literature study then be equipped by historical data of annual periods. Statistical Pearson correlation and multi-pexpert multi-criteria decision making (MEMCDM) non-numerical are used to test and to verify correlation the dominant factors of national crude palm oil stock, and then fuzzy system is used to judge the dominant factors. Keywords: Pearson correlation statistic, multi-criteria decision making non-numerical, fuzzy system
Newton's method in practice: Finding all roots of polynomials of degree one million efficiently

We use Newton's method to find all roots of several polynomials in one complex variable of degree up to and exceeding one million and show that the method, applied to appropriately chosen starting points, can be turned into an algorithm that can be applied routinely to find all roots without deflation and with the inherent numerical stability of Newton's method. We specify an algorithm that provably terminates and finds all roots of any polynomial of arbitrary degree, provided all roots are distinct and exact computation is available. It is known that Newton's method is inherently stable, so computing errors do not accumulate; we provide an exact bound on how much numerical precision is sufficient.
TRAVEL-SPECIFIC NATURAL LANGUAGE PROCESSING SYSTEM

Systems and methods for travel-specific natural language processing are disclosed. The techniques described herein include maintaining a first dataset having a standardized text format and a second dataset having a noisy text format, each of which corresponds to a travel-specific lexicon. The techniques include generating training data corresponding to a first training objective and a second training objective based on the first dataset and the second dataset. A machine-learning model can be trained using the training data according to the first and second training objectives.