SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Cities and Design

Cities, initially a product of the manufacturing era, have been thoroughly remade in the image of consumer society. Competitive spending among affluent households has intensified the importance of style and design at every scale and design professions have grown in size and importance, reflecting distinctive geographies and locating disproportionately in cities most intimately connected with global systems of key business services. Meanwhile, many observers still believe good design can make positive contributions to people’s lives.

Cities and Design explores the complex relationships between design and urban environments. It traces the intellectual roots of urban design, presents a critical appraisal of the imprint and effectiveness of design professions in shaping urban environments, examines the role of design in the material culture of contemporary cities, and explores the complex linkages among designers, producers and distributors in contemporary cities, for example: fashion and graphic design in New York; architecture, fashion and publishing in London; furniture, industrial design, interior design and fashion in Milan; haute couture in Paris and so on.

This book offers a distinctive social science perspective on the economic and cultural context of design in contemporary cities, presenting cities themselves as settings for design, design services and the ‘affect’ associated with design.
Innovation-driven agri-food sectors for a European industrial renaissance

The agri-food sector has great potential to contribute to regional economic growth and the industrial renaissance of the EU. However, its complexity, the limited innovation and the fragmentation of the R&I resources call for a tailored combination of policy and funding instruments in order to increase R&I resources, stimulate public-private collaboration and enable the emergence of new cross-sector and cross-border value chains. Interregional cooperation based on RIS3 can enable the creation of value chains throughout the EU as well as the generation of synergies in the regions so as to prevent duplication in investment. 
The overall objective of AgriRenaissance is to improve regional development policies and programmes under the Investment for Growth and Jobs goal in order to increase R&I resources and capacities of the agri-food sector, stimulate collaboration and foster its hybridization. The interregional learning process will take place around three thematic areas: i) R&I infrastructure & capacities, ii) R&I public-private collaboration, iii) hybridization of the agri-food sector with other sectors within and across regions. Existing methodologies for updating the RIS3 will also be mapped, as recommended by the Committee of the Regions. 

The main outputs of the project will be: Method Guide, Diagnosis reports of the regional agri-food sectors, Good Practice Guide, Policy Road Map, Regional Policy Briefs and Regional Action Plans with recommendations for integration into RIS3. Stakeholders benefiting from the project will be all actors in the agri-food sectors at the regional, national and EU level: R&I organisations in the agri-food, ICT, health, biotech and environment/ circular economy areas; Industrial and service companies in the agri-food, ICT, health, biotech and environment/ circular economy; Public authorities and policy makers; Networks of interest and NGOs and consumers in general.
Chemical engineering immersive learning

The chemical industry in Europe faces stiff competition as it fights to strengthen its position in the global market place. Europe’s greatest asset is its human capital, but the people working in such a technology-based environment, with the rise of the “smart factories” of Industry 4.0, need to be very well qualified. The situation of yesteryear, where a person could be trained to carry out a job for the whole of his/her career has long since gone; now the situation is one of developing skills and competencies, but then being able to adapt, re-learn and be able to cross sectors and disciplines in a world of work that is dynamic and subject to constant change. Continuous professional development, the stimulation of creative thinking and the motivation of youngsters for science & technology are high on the EU’s agenda. Recent developments in immersive learning technologies are providing exciting new tools for teaching and training programmes, yet they remain underutilised in science & technology education, and nowhere is this more true than in the field of chemistry and chemical engineering. CHARMING, the European Training Network for Chemical Engineering Immersive Learning, takes on this challenge by developing learning strategies, content and prototypes for the application of games and virtual/augmented reality for motivating, teaching and training children, students and employees in chemistry, chemical engineering and chemical operations. The inter-sectorial and interdisciplinary CHARMING ETN consists of leading universities and industry participants and trains 15 ESRs in the areas of innovative chemical engineering, instructional psychology & pedagogy and immersive technology. CHARMING’s success is based on integrating these three areas, in order to provide Europe with its highly trained young experts who are ready to help motivating, training and integrating the next-generation human capital of the European chemical industry and beyond.
Development of a Transcultural social-ethical-care model for dependent population in Mediterra basin

Mediterranean countries are showing common trends in terms of social support decrease and the need for innovative and sustainable socio-ethical-care models. These issues have an impact on many categories of vulnerable people, such as dependent elderly having chronic diseases and lacking family network support, with the consequence of being further marginalized. TEC-MED will develop an innovative and cost-effective socio-ethical care intervention framework which will improve and adapt social care policies tackling the phenomenon of the ageing population. A new organizational model will be designed to support cooperation and partnership between public institutions and social care actors. Six pilot actions will be implemented in the participating countries to test and validate the model by involving social enterprises, citizens and public administrations.
Open Social Innovation policies driven by co-creative Regional Innovation eco-systemS

OSIRIS addresses essential challenges of seven public bodies in Europe: North (SE, FI), South (IT, PT, GR), East (SK) and West (NL). The challenges are referring to: employment, innovation, education, social inclusion and climate/energy. They all run Good Practices (GP) on Open and Social Innovation (OSI). Policy Instruments (PIs) need implementation of more effective Smart Specialization Strategies enhancing border-crossing interregional media solutions, visualizing and disseminating improvements and changes, increasing involvement for regional growth and employment.  
OSIRIS aims at improving design, rapid delivery and implementation of OSI policies and Action plans through co-creative regional eco-systems for innovation, inspired by the Lead Partner co-creative cyclic GP, the Innovation Loop. Policy-makers’ innovation management skills and co-creativity will be accelerated by interregional collaboration in focussed sectors and disciplines, adopting the penta-helix model (Government-Research-Business-Citizens-Society), empowering the Public Information Sector. 
A set of co-creative workshops for participatory policy design and exchange of knowledge, ensure individual, organizational and stakeholders involvement and learning, resulting in identification and implementation of desirable changes in the seven PIs, supported by ERDF/ESF. 
The 54 months project develops policy-makers’ capacities to: •	exploit and optimize the potential of OSI methods and tools for delivering innovation policies addressing real life issues and societal challenges  •	get shared visions for designing new projects, services and products  •	make regional and local governments driving co-design enabled innovation. 
Outputs from the co-creative workshops, the export of successful GPs and the strategic policy recommendations iteratively developed and intertwined with proactive research and innovation will enhance the evolution of powerful Action Plans (AP) boosting societal quality of life.
POLYMER PRODUCT, METHOD FOR PRODUCING THE POLYMER AND USE OF THE POLYMER

The present invention relates to a method for producing a cationic polyvinyl amine based copolymer. The present invention further relates to a cationic polyvinyl amine based copolymer and use of the copolymer in paper industry as a strength agent, a retention agent and a drainage agent.
Mobile application for hybrid internet

In spite of the expected annual growth rate (47%) of Internet data consumption and speed requirements, Internet Service Providers (ISPs) are suffering from the continuous erosion of traditional services revenues (voice & messaging) due to a) the fierce competition between them and b) the irruption of Over-The-Top applications (Skype, WhatsApp, Facebook Messenger, etc.). To cope with the growing demand while increasing revenues, ISPs will have to leverage currently deployed infrastructures as much as possible, monetising the Internet consume data.
Tessares has developed the Multipath App (MPA), an innovative software which is able to combine all the ISP’s existing access technology investments (4G/5G mobile Internet, WiFi hot-spots and Community WiFi) to better deliver current and emerging internet-based services. The MPA is the first downloadable app to offer higher speed, reliability and on-the-move consistency by enabling smartphones to simultaneously combine WiFi and 4G/5G networks.
ISPs are Tessares´ primary target market. Tessares has commercial agreements already with several ISPs that have shown interest in the MPA approach. Moreover, Tessares is in discussion with other ISPs worldwide to establish future commercial agreements. The MPA solution will be sold through software licences, maintenance software and professional services.
There are two key aspects that define the entry market strategy of Tessares: 1) Detecting the early adopters, and 2) Speed to market. Based on these aspects and the high scalability of the MPA, the product will be introduced in Europe in 2021 (right after the end of the project), in Asia, North America and Australia in 2022, and in other markets in 2023.
The MPA represents a real innovation for the Internet Service Providers´ needs, being capable to create 10 new direct jobs during the project and generating over €144M of revenues during the period 2021-2025. Moreover, another 30 employees will be hired during the same period.
Polyurethane stator for a progressive cavity pump

A progressive cavity pump including a shell, a stator removably affixed within the shell, a rotor positioned interior of the stator within the shell and a motor interconnected to the rotor so as to rotate the rotor. The stator is formed of polyurethane material. The polyurethane material of the stator has a durometer hardness of 50-98 shore. The polyurethane material of the stator has an operating temperature of between 212° F. and 400° F. The polyurethane material of the stator had a tensile stress of between 100-5100 p.s.i. The stator is positioned between the fluid inlet and outlet of the shell.
Mapping gravitational waves from collisions of black holes

Breakthroughs in numerical relativity in 2005 gave us unprecedented access to the strong-field regime of general relativity, making possible solutions of the full nonlinear Einstein equations for the merger of two black holes. Numerical relativity is also crucial to study fundamental physics with gravitational-wave (GW) observations: numerical solutions allow us to construct models that will be essential to extract physical information from observations in data from Advanced LIGO and Virgo, which will operate from late 2015. Complete signal models will allow us to follow up our first theoretical predictions of the nature of black-hole mergers with their first observational measurements. 

The goal of this project is to advance numerical-relativity methods, deepen our understanding of black-hole mergers, and map the parameter space of binary configurations with the most comprehensive and systematic set of numerical calculations performed to date, in order to produce a complete GW signal model. Central to this problem is the purely general-relativistic effect of orbital precession. The inclusion of precession in waveform models is the most challenging and urgent theoretical problem in the build-up to GW astronomy. Simulations must cover a seven-dimensional parameter space of binary configurations, but their computational cost makes a naive covering unfeasible. This project capitalizes on a breakthrough preliminary model produced by my team in 2013, with the pragmatic goal of focussing on the physics that will be measurable with GW detectors over the next five years. 

My team at Cardiff is uniquely placed to tackle this problem. Since 2005 I have been at the forefront of black-hole simulations and waveform modelling, and the Cardiff group is a world leader in analysis of GW detector data. This project will consolidate my team to make breakthroughs in strong-field gravity, astrophysics, fundamental physics and cosmology using GW observations.
Mobility Assessment of Demented People Using Pose Estimation and Movement Detection - An Experimental Study in the Field of Ambient Assisted Living

The European population will steadily be growing older in the following decades. At the same time, the risk of

getting dementia increases with higher age. Both these factors are apt to cause serious problems for the society,

especially with regard to the caring sector, which also suffers from the lack of qualified personnel. As technical

support systems can be of assistance to medical staff and patients, a mobility assessment system for demented

people is presented in this paper. The grade of mobility is measured by means of the personâs pose and

movements in a monitored area. For this purpose, pose estimation and movement detection algorithms have

been developed. These process 3-D data, which are provided by an optical stereo sensor installed in a living

environment. In order to train and test a discriminative classifier a variety of labelled training and test data

was recorded. Moreover, we designed a discriminative and universal feature vector for pose estimation. The

experiments demonstrated that the algorithms work robustly. In connection with a human machine interface,

the system facilitates a mobilisation as well as a more valid assessment of the patientâs medical condition than

it is presently the case.
Aerosol climatology over South Africa based on 10 years of Multiangle Imaging Spectroradiometer (MISR) data

[1] In this paper, we present a detailed study of the spatial and seasonal aerosol climatology over South Africa (SA), based on Multiangle Imaging Spectroradiometer (MISR) data. We have used 10 years (2000–2009) of MISR monthly mean aerosol extinction (text), absorption (ta) optical depths at 558 nm, Angstrom exponents in visible (VIS; 446–672 nm) and near‐infrared (NIR; 672–866 nm) spectral bands, and the extracted spectral curvature. Thestudyhasshownthat,intermsofaerosolloadlevelspatialvariation,SAcanbeclassified into three parts: the upper, central, and lower, which illustrate high, medium, and low aerosol loadings, respectively. The results for the three parts of SA are presented in detail. The prevailing sources of aerosols are different in each part of SA. The lower part is dominated by the air mass transport from the surrounding marine environment and other SA or neighboring regions, while the central and upper parts are loaded through wind‐ ablated mineral dust and local anthropogenic activities. During the biomass burning seasons (July–September), the central part of SA is more affected than the rest of SA bythe biomass‐ burning aerosols (based on ta, ∼20% higher than the rest of SA). In alignment with the observed higher values of text, aerosol size distributions were found to be highly variable in the upper part of SA, which is due to the high population and the industrial/mining/ agricultural activities in this area. Citation: Tesfaye, M., V. Sivakumar, J. Botai, and G. Mengistu Tsidu (2011), Aerosol climatology over South Africa based on 10 years of Multiangle Imaging Spectroradiometer (MISR) data, J. Geophys. Res., 116, D20216, doi:10.1029/2011JD016023.
Mediterranean Risk Management

The project Med-RISK aims at solving the unsatisfactory synergy of systems for rational management of natural risks in the ArchiMed area. The Mediterranean zone is an intensely developing region in the sectors of industry and tourism with millions of visitors from all over the world. At the same time, natural disasters do not any longer concern only the state in which they occur since it affects simultaneously different geographical regions, overlapping the national borders. The eligible region of ArchiMed has to solve, in the direct future, the unsatisfactory synergy, operation of systems of risk prevention that threatens the environment and rational management of natural risks. Objectives 1. Interconnection and Joint Policy of Operational Centers in different countries for crises management 2. Creation of scenarios and better planning of Civil Protection at every level of administrative structure 3. Information the public
An insight into lysosomal signature in muscle wasting

Muscle wasting is the severe and progressive loss of muscle mass experienced in different pathological conditions such as cancer. The outcome of this debilitating condition on human health is detrimental; the effect on society is a public health burden. Attenuating muscle wasting ameliorates prognosis and survival in some circumstances; nevertheless, to date, a proper therapy preventing muscle loss is lacking. Partially responsible for this, is the fragmented knowledge of the signals controlling muscle homeostasis.  Here I propose Myo_LysoZOOM as the groundbreaking tool for unraveling the mysterious relationship between lysosomal signaling and muscle atrophy. Through the harmonic and complementary interaction between me and the two groundbreaking realities, Whitehead Institute for Biomedical Research (MIT) and University of Padova, I will become the interpreter of this secret code named lysosomal signature in muscle wasting. Reinforcing my technical skills and boosting my scientific knowledge, this Marie Curie action will allow me to assume a unique prominent position in the European myology landscape. In turn, this will foster the development of a new research line through which I will be able to actively participate in the fighting against muscle wasting. Concluding, Myo_LysoZOOM will build a long-term terrific impact on European research, innovation, science and society.
Abrupt monsoon transitions as seen in paleorecords can be explained by moisture-advection feedback

Paleoclimatic records show abrupt monsoon shifts at various different locations and historic periods (1⇓⇓⇓–5). An important question is whether such transitions are possible in the future (6). To this end, we carved out the physical mechanism for such transitions in a purposefully simple conceptual model (7). Recently, Boos and Storelvmo (8) claimed that introducing adiabatic cooling into our model (7) eliminates these abrupt transitions. This claim is not generally true. As can be seen from their figure 1, Boos and Storelvmo (8) only eliminate abrupt transitions if most of the energy from the rain’s latent heat release is consumed by adiabatic cooling. Although adiabatic cooling exists and is, as shown below, implicitly accounted for in ref. 7, it is not a valid assumption that most of the latent heat release is consumed by this process. …
Discussion on Water Vapor Source Based on Hysplit Model and Characteristics of the Isotopes in Precipitation in Yinchuan

Base on Hysplit model with Backwards Trajectory showed Yinchuan was dominated by westerly continental vapor throughout the year, and also was influenced by the maritime vapor in spring and summer. Owing to the high temperature, Yinchuan was remarkably effected by local evaporation of water vapor in spring and summer. By dint of isotopes data of the meteoric precipitation in Global Network of Isotopes of Yinchuan station, the changes characteristics of precipitation in Yinchuan were analyzed. The analysis of the relationship between δ 18O with precipitation and respectively implied that the weighted average of δ 18O took on a good temperature effect. At the same time, it showed a positive correlation between the weighted average of δ 18O and precipitation, which was related to the arid and semi-arid climate of Yinchuan. The slope and intercept of local meteorological water line (LMWL) of Yinchuan were lower than that of Global Meteorological Water Line ( GMWL) and Chinese precipitation line.
A novel approach for collecting and sharing software metrics data

Software metrics collection is a fundamental activity required to perform almost any empirical software engineering study. However, even if a wide range of tools exists, the collection of such fundamental data is still very time consuming. Moreover, every researcher collects almost the same data (e.g., CK metrics, McCabe Cyclomatic Complexity, etc.) from almost the same projects (e.g., well-known open source projects). The amount of such duplicate work performed in the community reduces the effort that researchers can actually spend in the most valuable part of their research such as the development of new theories and models and their empirical evaluation. This paper proposes a novel approach for collecting and sharing software metrics data enabling the cooperation of researchers and reducing the amount of wasted effort in the software engineering community. We aim at this objective through the proposal of a Software Metrics Exchange Format (SMEF) and a REST API for the collection, storage, and exchange of software metrics data.
AN ANTIMICROBIAL COMPOSITION COMPRISING ESSENTIAL OIL AND ANTIMICROBIAL LIPID

This invention relates to an antimicrobial composition, especially one which provides synergistic anti-dandruff or anti-acne efficacy. This is achieved through a judicious combination of select essential oil actives chosen from thymol, or terpineol and certain antimicrobial lipids selected from sapienic acid, palmitoleic acid, sphingosine, dihydrosphingosine, phytosphingosine, and 6-hydroxysphingosine. These compositions can be delivered through very many different types of personal care products e.g. shampoo, conditioner; face wash or hand wash product; or a leave on cream/lotion.
A Scalable FPGA Engine for Parallel Acceleration of Singular Value Decomposition

Singular value decomposition (SVD) is a fundamental computational kernel and tool wildly used in data analytics such as least squares regression, principle components analysis (PCA), and pattern recognition. While a number of dedicated hardware processors have been proposed to accelerate the computationally intensive SVD computation, these designs suffer from poor flexibly and scalability, and/or lack full consideration of compute and data movement challenges associated with SVD. This paper presents a scalable parallel SVD FPGA engine based on the Hestenes-Jacobi method. We propose a so-called Maximum Data Sharing (MDS) ordering, which maximizes on-chip data reuse, and significantly reduces the expensive off-chip data movements and bandwidth requirement. Our SVD engine can flexibly decompose rectangular matrices with variable sizes and speed up SVD computation by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$80\mathrm{X}$</tex> to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$300\mathrm{X}$</tex> when compared with software SVD solvers such as the Eigen package running on high-performance CPUs. It can process much larger matrices than the previously reported FPGA designs.