SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
On the Analysis of a Wave Energy Farm with Focus on Maintenance Operations

Wave energy has a promising technical potential that could contribute to the future energy mix. However, costs related to the deployment of wave energy converters (WECs) are still high compared to other technologies. In order to reduce these costs, two principle options are available, a reduction in cost and an increase in productivity. This paper presents a reliability-based computational tool to identify typical decision problems and to shed light on the complexity of optimising a wave power farm. The proposed tool is used to investigate productivity and availability of a wave energy farm during 10 years of operational life. A number of optimization possibilities to improve productivity, namely vessel choice, maintenance regime, failure rate and component redundancy, are then explored in order to assess their effectiveness. The paper quantifies the yield increase and provides a practical approach to evaluate the effectiveness of strategic and operational decision options. Results, in terms of the variations in productivity and availability of the farm, are analysed and discussed. Conclusions highlight the importance of reliability-centred simulations that consider the specific decision parameters throughout the operational life to find suitable solutions that increase the productivity and reduce the running cost for offshore farms.
Classification of projection images of proteins with structural polymorphism by manifold: A simulation study for x-ray free-electron laser diffraction imaging

Coherent x-ray diffraction imaging (CXDI) enables us to visualize noncrystalline sample particles with micrometer to submicrometer dimensions. Using x-ray free-electron laser (XFEL) sources, two-dimensional diffraction patterns are collected from fresh samples supplied to the irradiation area in the "diffraction-before-destruction" scheme. A recent significant increase in the intensity of the XFEL pulse is promising and will allow us to visualize the three-dimensional structures of proteins using XFEL-CXDI in the future. For the protocol proposed for molecular structure determination using future XFEL-CXDI [T. Oroguchi and M. Nakasako, Phys. Rev. E 87, 022712 (2013)10.1103/PhysRevE.87.022712], we require an algorithm that can classify the data in accordance with the structural polymorphism of proteins arising from their conformational dynamics. However, most of the algorithms proposed primarily require the numbers of conformational classes, and then the results are biased by the numbers. To improve this point, here we examine whether a method based on the manifold concept can classify simulated XFEL-CXDI data with respect to the structural polymorphism of a protein that predominantly adopts two states. After random sampling of the conformations of the two states and in-between states from the trajectories of molecular dynamics simulations, a diffraction pattern is calculated from each conformation. Classification was performed by using our custom-made program suite named enma, in which the diffusion map (DM) method developed based on the manifold concept was implemented. We successfully classify most of the projection electron density maps phase retrieved from diffraction patterns into each of the two states and in-between conformations without the knowledge of the number of conformational classes. We also examined the classification of the projection electron density maps of each of the three states with respect to the Euler angle. The present results suggest that the DM method is imperative for future applications of XFEL-CXDI experiments for proteins, and clarify issues to be taken care of in the future application.
French mediterranean support for innovative smes

MED4INNO Project proposal is an extension of the MED2EUROPE Project financed under COSME Program for Enterprise
Europe Network activity in 2015/2016. The project covers the whole of the French Mediterranean area with 3 regions:
Provence Alpes Côte d’Azur, Languedoc-Roussillon and Corsica (NUTS-1 FR7). The project will be carried out by 3
partners in the 2 major regions (PACA and LR) :
- Agence Régionale de l’Innovation et de l’Internationalisation des entreprises de la région PACA (ARII PACA) for Provence
Alpes Côte d’Azur Region
- Chambre de Commerce et d’Industrie de Région PACA (CCIR PACA) for Provence Alpes Côte d’Azur Region
- Transferts LR for Languedoc-Roussillon Region
As Corsica region is a small region with very few Growth SMEs, partners from PACA region will act as a relay in Corsica in close collaboration with the EEN Partner in Corsica.
The project aims at to put in place a reinforced SME Service Support, named Service Package, dedicating to support the growth of promising companies involved in innovative projects or benefiting SME Instrument grants.
MED4INNO Project matches perfectly the work program defined by the European Commission concerning its support to SMEs. European SMEs have demonstrated for several years that they pull European growth and that they are the backbone in Europe for innovation, investment and job creation. Unfortunately innovative SMEs are often too small or too young or less capitalized than any other companies to grow. The final impact of support service provided is similar to the objective of SME Instrument: to increase the competitiveness of our most promising SMEs.
Profilométrie optique par méthodes inverses de diffraction électromagnétique

Optical profilometry is a nondestructive and fast noncontact surface metrology technique. In this thesis, we have tackled this issue with inverse scattering electromagnetic methods and in an Optical Digital Tomographic Microscopy (ODTM) configuration. The surface is probed with illuminations under several incidence angles; the measure of far scattered field amplitude and phase constitutes the problem data. Surface profiles have been reconstructed using different scattering models among which an approximate theory based on single scattering and paraxiality. The lateral resolution of this technique and classical profilometric approaches is limited by the so-called Abbe-Rayleigh's criterion defined out of the numerical aperture for illumination and field detection. In order to overpass this resolution limit, we have developed a regularized iterative Newton-Kantorovitch's method. The scattering operator is rigorously modelized with the method of moments, that is a numerical solution of boundary integral equations, and its Frechet derivative adjoint states expression is deduced from the reciprocity theorem. For one-dimensional metallic surfaces, our method succeeds in inverting from synthetic data very rough surfaces with the resolutions beyond the Abbe-Rayleigh's criterion. The performance of this technique and inversion conditions clearly differ from one polarization to the other : in the TM case, interactions at longer distance than in the TE case improve yet the resolution. This work includes also an experimental validation of our inverse model on grooves in indium phosphure substrate at 633 nm.
Primary clinical observation of pneumatic trabeculoplasty for primary open-angle glaucoma

Objective To observe the clinical efficacy of pneumatic trabeculoplasty(PNT) for primary open-angle glaucoma(POAG).Methods From January 2011 to November 2011,a total of 20 eyes(14 patients) with POAG were enrolled.All 20 eyes received PNT.The visual acuity before and after PNT was recorded,and the intraocular pressure(IOP) at 1 hour before PNT,1 hour,1 day,7 days,14 days,30 days,45 days,60 days,90 days and 120 days after PNT were also recorded.The number of patients whose IOP was control and obviously decreased at 1 month,2 months,3 months and 4 months were investigated.The follow-up time was 4 months,the thickness of retinal never fiber layer was compared before PNT and 4 months after PNT.Results The visual acuity before and after PNT were 0.76±0.23 and 0.73±0.21,there was no statistical difference(P=0.26).IOP at each time point after PNT were lower than that before PNT,there were statistical differences(all P0.05).IOP at 1 month,2 months,3 months and 4 months after PNT were controlled in 13 eyes(65%),12 eyes(60%),11 eyes(55%) and 5 eyes(25%),obviously decreased in 17 eyes(85%),15 eyes(75%),15 eyes(75%) and 11 eyes(55%).Patients were less dependent on IOP drugs after PNT.There was no statistical difference in thickness of retinal nerve fiber layer at each quadrant before and after PNT(both P0.05).Conclusion PNT for primary open-angle glaucoma is safe and effective.
Metastasis-Associated altered molecular patterns in the brain

Organ colonization is the most inefficient step of metastasis. However, once a few cancer cells manage to re-initiate their growth in the brain, the initial naïve microenvironment, which was not favouring and even actively limiting the number of potential metastasis initiating cells, is slowly rewired into a different ecosystem with pro-metastatic properties. In this project (ALTER-brain), we will study the biology of microenvironment reprogramming to explore innovative ways of treating metastasis.
Microenvironment reprogramming relies on altered molecular patterns that emerge in specific brain cell types simultaneously to the outgrowth of metastases. Dissecting the biology of these emerging patterns and their functional consequences could provide the basis to prevent metastasis but also to treat advances lesions. A key objective of ALTER-brain is the identification of newly established functional networks among previously non-connected components of the microenvironment that are critical to nurture tumour growth.
This research proposal focuses on metastasis in the brain given its rising incidence, poor therapeutic options and short survival rates upon diagnosis. ALTER-brain will use novel (i.e. spontaneous metastasis) and clinically relevant (i.e. relapse after therapy) experimental mouse models of brain metastasis combined with genetically engineered mice in which we will target specific components of the microenvironment. In addition, we will apply novel lineage tracing technologies to understand the origin and emerging heterogeneity of the reprogrammed microenvironment. Given the clinical relevance of our research, human brain metastasis provided by our clinical network will be used to validate key findings. 
ALTER-brain will identify key principles underlying the unknown biology of the brain under a specific pathological pressure that might be translated to other highly prevalent disorders affecting this organ in the future.
AQUACULTURE FEED

The present invention relates to a feed premix feed premix comprising high amounts of eicosapentaenoic acid ("ERA") and docosahexaenoic acid ("DHA") as feed premix for animals, preferably aquatic animals including fish and shrimp. More particular, this invention relates to a feed premix intended for intake by aquatic animals comprising high amounts of ERA and DHA and vitamins C and E. The invention further concerns a method of producing a meat product, preferably an aquaculture meat product, by feeding an animal, preferably a fish, a feed composition, said method comprising the step of formulating a feed composition comprising DHA, preferably ERA and DHA, and vitamins C and E.
TransportingFrankenstein: Mary Shelley's Mobile Figures

This essay situates Mary Shelley's Frankenstein at the intersection of neurology, epidemiology, and transportation history, and alongside the emergent discipline of tropical medicine that united them. One artifact of this nexus of disciplines, it argues, was a persistent tropicality, or high figurality: the metaphoric processes in which physicians and engineers sought to establish and confirm Britain's, and Britons', insularity were plagued by eruptions of metonymic instability. Proposing that Shelley's novel was informed by more than tropical medicine's preoccupations with insularity, contagion, and mental hygiene, this essay explores Shelley's uses of metaphor and her enactment of metonymic seriality on the level of narrative form. The essay makes the case for restoring the connections between subjectivity and the emergence of global networks in our current approaches to Romantic affects and mobilities, and for the indispensability, especially in this context, of attending closely to the poetics of non-...
Smart roof edge technology

Buildings account for 40% of energy consumption and 36% of CO2 emissions in the EU.
• Anerdgy has developed a roof edge building technology which combines local energy generation, building design options and roof edge functionality in just one modular system.
Currently many flat roof buildings, which are renovated or new builds, face multiple challenges to be energetically upgraded – cost, functionality, aesthetics and the local energy generation have to be optimally combined by architects and building planners to achieve both the building owners’ & the regulatory goals. As of today it is very difficult to achieve and as a result, the potential of flat roof buildings are very often not utilised.
• The Anerdgy WindRail C30 System enables architects & building planners to overcome the flat roof challenges in an easy way for both planning & installation by the use of our multifunctional system on roof edges. The system combines the maximum possible renewable local energy generation with great aesthetics and cost savings.
• The system is fully customizable for the various roof geometries and their needs. 
• The WindRail C30 system takes over many of the functions of traditional separately installed elements thereby typically recovering 35-70% of its cost whilst additionally enabling easy integration of design options. The remaining 30-65% of the costs is repaid by the local energy generation with a typical energy production cost of 0.05-0.10€/kWh. 
• The WindRail C30 system unlocks the immense potential of flat roof buildings, resulting in a by far better solution to achieve the goals of renewable local energy generation and CO2 reduction than with the current standalone solutions.
Reports by the EU funded IEE project Episcope looking at European countries show that on average 11% of the buildings have flat roofs. A market review from Uni. St. Gallen indicate an addressable market size of 2.3 billion € per year. 
• WindRail C30 can tap this hitherto huge untapped market.
A CMOS pixel sensor with 4-bit column-parallel self-triggered ADC for the ILC vertex detector

This paper presents a CMOS Pixel Sensor (CPS) prototype for the outer layers of the future International Linear Collider (ILC) vertex detector. It is composed of a matrix of 48 × 64 pixels with a 4-bit column-parallel analog-to-digital converter (ADC). The pixel concept combines in-pixel amplification with a correlated double sampling (CDS) operation in order to reduce the temporal and fixed pattern noise (FPN). The self-triggered ADC accommodating the pixel readout in a rolling shutter mode completes the conversion by performing a multi-bit/step approximation. The ADC design was optimized for power saving at sampling frequency. Accounting the fact that in the outer layers of the ILC vertex detector the hit density is in the order of a few per thousand, this ADC works in two modes: active mode and inactive mode. The average energy and total capacitance are significantly reduced by a power-gating control and a switching network, respectively. The prototype sensor was fabricated in a 0.35 μm CMOS process with a pixel pitch of 35 μm. The designed 4-bit ADC dissipates, at a 3-V supply and 6.25-MS/s sampling rate, 486 μW in its inactive mode, which is by far the most frequent. This value rises to 714 μW in case of the active mode. Its footprint amounts to 35 × 545 μm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .
Innovation management

Through the training of a specific professional figure, this project intends to provide guidance to enterprises (particularly SME) in the cross border area on innovation and technology transfer, as a practice to maintain and develop competitiveness in the new scenarios of European integration and globalisation. Specifically, the “Innovation Manager” course intends to train and accompany in their entry into the economic and production fabric of both Italy and Slovenia a sort of “bridging figure” between research and the business world, with a view to cross-border development. The course, targeting unemployed persons, is structured in modules, with a preparatory and a specialist phase: the first mainly characterised by economic and management notions, the second focusing on innovation and technology transfer. The professional thus trained is able to move in the scenarios of technology and innovation, to promote a research that is market-oriented, an advisor who can operate in mediation bodies. As regards employment opportunities, he/she can work for companies who wish to innovate products and/or processes by optimising investments in R&D, research centres that intend to maximise their economic returns, science and technology parks, public and private enterprises engaged in territorial development.
(3553.04032020.158000376) CERO SECO

EL PROYECTO TIENE COMO OBJETIVO DESARROLLAR UN PROCESO DE TRATAMIENTO TÉRMICO AVANZADO E INNOVADOR PARA EL SECADO DE ALGUNOS RESIDUOS, CARACTERIZADO POR ALTOS NIVELES DE HUMEDAD QUE ACTUALMENTE TIENEN DIFICULTADES. EL MERCADO DE RESIDUOS EN GENERAL, Y DE RESIDUOS LÍQUIDOS EN PARTICULAR, HA DESARROLLADO CON EL TIEMPO UNA CADENA DE SUMINISTRO QUE, SALVO EN ALGUNOS CASOS? CARACTERIZADA, TAMBIÉN PARA LOS RESIDUOS CONCENTRADOS, POR LA ELIMINACIÓN FINAL EN PURIFICADORES (RESIDUOS LÍQUIDOS) O EN VERTEDEROS (RESIDUOS DESPLEGABLES). PARA ENCONTRAR UN DESTINO A NIVEL DE SISTEMA EN LAS PLANTAS CAPACES DE TRATAR ADECUADAMENTE LOS RESIDUOS SEGÚN SU TENDENCIA NATURA.SUCH DEBE INVERTIRSE PARA EVITAR, COMO OCURRE A MENUDO, UNA DILUCIÓN DE LOS RESIDUOS Y LAS SUSTANCIAS CONTENIDAS EN ELLOS, QUE A MENUDO NO SE ELIMINAN SINO QUE SOLO SE DILUYEN MEDIANTE TRATAMIENTO EN LOS PURIFICADORES, CON EL RESULTADO GENERAL DE DISPERSAR LOS CONTAMINANTES EN EL MEDIO AMBIENTE A CONCENTRACIONES MUY BAJAS.
Melange: a meta-language for modular and reusable development of DSLs

Domain-Specific Languages (DSLs) are now developed for a wide variety of domains to address specific concerns in the development of complex systems. When engineering new DSLs, it is likely that previous efforts spent on the development of other languages could be leveraged, especially when their domains overlap. However, legacy DSLs may not fit exactly the end user requirements and thus require further extension, restriction, or specialization. While current language workbenches provide import mechanisms, they usually lack an explicit support for such customizations of imported artifacts. In this paper, we propose an approach for building DSLs by safely assembling and customizing legacy DSLs artifacts. This approach is based on typing relations that provide a reasoning layer for manipulating DSLs while ensuring type safety. On top of this reasoning layer, we provide an algebra of operators for extending, restricting, and assembling separate DSL artifacts. We implemented the typing relations and algebra into the Melange meta-language. We illustrate Melange through the modular definition of an executable modeling language for the Internet Of Things domain. We show how it eases the definition of new DSLs by maximizing the reuse of legacy artifacts without introducing issues in terms of performance, technical ecosystem compatibility, or generated code volume.
Ultrashort echo time magnetization transfer (UTE-MT) imaging of cortical bone

Magnetization transfer (MT) imaging is one way to indirectly assess pools of protons with fast transverse relaxation. However, conventional MT imaging sequences are not applicable to short T2 tissues such as cortical bone. Ultrashort echo time (UTE) sequences with TE values as low as 8 µs can detect signals from different water components in cortical bone. In this study we aim to evaluate two-dimensional UTE-MT imaging of cortical bone and its application in assessing cortical bone porosity as measured by micro-computed tomography (μCT) and biomechanical properties. In total, 38 human cadaveric distal femur and proximal tibia bones were sectioned to produce 122 rectangular pieces of cortical bone for quantitative UTE-MT MR imaging, μCT, and biomechanical testing. Off-resonance saturation ratios (OSRs) with a series of MT pulse frequency offsets (Δf) were calculated and compared with porosity assessed with μCT, as well as elastic (modulus, yield stress, and strain) and failure (ultimate stress, failure strain, and energy) properties, using Pearson correlation and linear regression. A moderately strong negative correlation was observed between OSR and μCT porosity (R(2) = 0.46-0.51), while a moderate positive correlation was observed between OSR and yield stress (R(2) = 0.25-0.30) and failure stress (R(2) = 0.31-0.35), and a weak positive correlation (R(2) = 0.09-0.12) between OSR and Young's modulus at all off-resonance saturation frequencies. OSR determined with the UTE-MT sequence provides quantitative information on cortical bone and is sensitive to μCT porosity and biomechanical function.
A Guide to Morphosyntax-Phonology Interface Theories. How Extra-Phonological Information is Treated in Phonology since Trubetzkoy's Grenzsignale

This book reviews the history of the interface between morpho-syntax and phonology roughly since World War II. Structuralist and generative interface thinking is presented chronologically, but also theory by theory from the point of view of a historically interested observer who however in the last third of the book distills lessons in order to assess present-day interface theories, and to establish a catalogue of properties that a correct interface theory should or must not have. The book also introduces modularity, the rationalist theory of the (human) cognitive system that underlies the generative approach to language, from a Cognitive Science perspective. Modularity is used as a referee for interface theories in the book. Finally, the book locates the interface debate in the landscape of current minimalist syntax and phase theory and fosters intermodular argumentation: how can we use properties of morpho-syntactic theory in order to argue for or against competing theories of phonology (and vice-versa)?
Hidden Champions: Strategies for Swedish small and medium-sized enterprises producing sports equipment to innovate and compete successfully on the world market

In the new global economy, there is no place for companies to hide from foreign competitors - all companies need to plan for growth and survival in a world of global competition. This research is focused on identifying the abilities and strategies of ‘Hidden Champions’ located in Sweden – with some of them producing sports equipment – to successfully innovative and compete in the world market. The results from this exploratory study indicate that their long-term success is rooted in their focused strategy with soft diversification, continuous innovation through close relationship with customers and employees, providing superior quality and customized services compared to their competitors and by not following management fads. Swedish hidden champions are not afraid of low price competitors from developing countries such as China and India, which is a challenge and threat for most of the companies in developed economies. Hidden champions across the industries investigated are successful due to their excellent innovation governance, and they posses many lessons for other companies for how to govern innovation.