SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Photovoltaic with superior crack resistance

Cracks in silicon solar cells composing photovoltaic (PV) modules are induced during production (soldering of busbars onto solar cells, other defects), transportation, installation and exposure to the environment. The economic impact of cracking in PV modules has been assessed in about 6 Euro/(kWp year) due to the cost of repair/substitution and the missing production while cracks are not yet observable with the naked eye. This has a clear huge technological and economic impact on the market that can be estimated in 180 MEuro/year of losses, by considering a conservative amount of 30 GWp of new installations in the World per year. If cracking cannot be avoided due to the brittleness of Silicon, the proposed idea to be taken to proof of concept is to limit its effect as much as possible. A new generation of PV modules displaying a superior resistance against cracking is proposed, starting from the fundamental discovery within the CA2PVM ERC StG project that residual thermo-mechanical compressive stresses in Silicon cells are beneficial to induce crack face contact and electric recovery. An innovative pre-stressing technique will be designed to increase the residual compressive stresses in Silicon and achieve the crack closure state for any crack and therefore avoid electrical power-losses. An exploitation strategy based on patenting of the technical solution, writing of a business plan, and founding a spin-off/start-up company with a team with interdisciplinary skills will be implemented. This will allow for fund raising and exploitation of the idea also based on the already established industrial contacts.
Full fairing rotor head aerodynamic design optimization

The project is aimed on the numerical design optimization and flow analysis of a semi-watertight full fairing rotor head with respect to drag reduction of a compound helicopter configuration, namely the Low Impact, Fast and Efficient Rotorcraft (LifeRCraft) demonstrator. It has been shown that fully fairing the structural components of the rotor head as a whole provides significant drag reduction potential. The project first phase concentrates on the method development for all consecutive steps. This includes enhancing the existing CFD and optimizer software to be able to automatically optimize the fairing geometries. The software functionality is demonstrated by performing computations of the rotor head blade sleeve fairings, the full-fairing beanie and the pylon fairing for a series of simplified flow conditions. The second phase of the project is dedicated to pre-development of potential rotor head full fairing configurations. A special focus is on preliminary optimisations of the blade sleeves, beanie and hub fairing for forward flight conditions with a non-spinning rotor head. The following development phase addresses two tasks. The first task comprises a refined aerodynamic optimization of promising full fairing configurations under the effect of rotor rotation. Flow conditions inside the fairing are also thermically analyzed to avoid any overheating of components. The second task is on wake flow analysis of the drag-reducing full fairing geometries performing high precision aerodynamic simulations. Strong unsteady airloads on the empennage due to the rotor head wake must be avoided to ensure proper flight dynamics and structural integrity. Consequently, the project results in a seamless integration of the developed software tools into the topic leaders work flow. The complex, CPU-intensive CFD simulations establish a sound data base for full fairing rotor head design and analysis which is not available today.
Producer Services for European Sustainability and Competitiveness

The project aims to establish a network of regional and local policy-makers and development authorities, which will improve the European public support strategies and policies regarding environmental sustainability and competitiveness of road transport by supporting knowledge-intensive producer services sector. The network shall stimulate improvement of regional strategies and policies through the exchange of know-how and good practices. It will lead to a better understanding of innovation dynamics in road transport sector and accommodate the transfer of academic and expert know-how on cluster support to regional policy-makers. Befittingly to the project aims all the partner regions possess characteristics of regional lead markets for innovation-inducing producer services for road transport.
The project will establish working groups to analyse producer services in detail, to identify and exchange good practices and to seek policy improvements. The contribution of producer services to sustainable road transport, regional innovativeness and cross-sectoral synergies will be the leading thematic interests. The findings will be disseminated through visiting programs, seminars, reports and  conferences. An important contribution will be made by the academic partner of the project, which will provide the state-of-the-art expertise on producer services, regional economies and cluster policies. In order to stimulate an additional transfer of know-how to policy-makers, PROSESC will also organize seminar workshops with leading academics and high-ranking experts of Europe. The seminar topics shall cover clusters and agglomerations, models on cross-sectoral regional development, European expertise on cluster facilitation, services innovation and sustainable mobility scenarios.
Through the project activities, the effectiveness of regional strategies and practices supporting services innovation and manufacturing competitiveness will be improved. The project shall assist partner regions to upgrade their policies and their regional industries for the target of sustainable road transport. The geographical distribution and regional characteristics of project partners reflect the diversity of European landscape in terms of development and policy experience. A special emphasis will be laid on the dissemination and valorisation of project activities and outcomes. In all activities, the involvement and participation of other European regions, experts from the industry, regional stakeholders, R&D institutes and other relevant parties will be strongly encouraged.
The Effect of Brand Image Inconsistency on Patronage Intent in U.S. Multi-channel Retailing

Website design (due to increased online retailing) has received more attention as a way to influence consumer responses (Eroglu et al., 2001, 2003; Kim et al., 2009; Kim & Lennon, 2008; Yoo et al., 2010); however, the website design of multichannel retailers has not been examined from the perspective of the consistency of online store image with the brand image. This study examines the effect of brand image consistency (especially through the website) on consumer attitude and patronage intentions. The findings of this research will add to the growing body of literature on multichannel retailing and provide practical information for online retailers in the development of a website for their online business.
Plasma enabled and graphene allowed synthesis of unique nano structures

PEGASUS ultimate goal is to create a highly efficient, catalyst/harmful-free novel plasma method along with a proof-of-concept PEGASUS device for a large-scale N-graphene direct synthesis, as well as N-graphene/MnO2/Fe2O3/SnO2 composites and unique vertical N-graphene arrays grown on metal substrates, via breakthrough research on plasma-enabled singular assembly pathways. By doing so, a disruptive and highly competitive alternative to conventional lengthy/multistep routes will emerge,  based on the mastering of plasma exclusive mechanisms to control the amount and localization of energy and matter at atomic scales, spurring a new European manufacturing/processing platform. The envisioned path will prompt and build on ground-breaking developments in the underlying physics, with the resulting processes embodying invaluable economic/social impact potential. PEGASUS framework is uniquely positioned to succeed and raise the Europe competitiveness in the strategic nano synthesis domain via the promotion of plasma methods as a Key Enabling Technology for highly controllable and ""green"" assembly of atom-thick hybrid nanostructures and by replacing long existing materials with new cost-effective, higher performance ones. The synergy between plasma physics and mechanical, electrochemical and hi-tech engineering expertise will be the driving force boosting the innovative approach pursued by this project, spanning from fundamental knowledge to appliance prospects. Internationally recognized scientists will contribute to this interdisciplinary project, triggering the commercialization of novel materials and delivering proof-of-concept PEGASUS and supercapacitor devices. With a science-devoted team lead by a female coordinator, PEGASUS contribution ambitions go beyond the scientific scope, helping to bridge economical/social gaps in tune with the EU ambitions.
Cleaning Waste Sulfuric Acid from PVC Gas Analysis Scheme Design and Composition Analysis

HWasu Corporation produces an enormous amount of PVC acetylene gas to wash waste sulfuric acid every year, and the composition of waste acid impurity is complex. The stench restricts the reuse of waste sulfuric acid, This paper establishes the detection scheme which is divide int three parts,respectively: escaping of the exhaust gas, liquid slag washing and washing slag quantitative analysis.Burning waste acid solid content of 11.40%, light component is 97.18%, sulfuric acid content of 79.22%, after washing slag of weight percent is 7.30%, Washing liquid slag quality percentage of 4.10%.Escaping gases mainly contain acetylene, hydrogen chloride, sulfur oxide impurities. Washing slag liquids mainly contain phosphoric acid root, organophosphorus, chloride, calcium, magnesium,iron ions and sulfuric acid root ion. Washing slags mainly contain silicon dioxide, carbon, hydrogen, calcium oxide, magnesium oxide, ferric oxide,and etc. Finally through the balance calculation of data, We can figure out that the experimental data is accurate and reliable for comprehensive utilization of wast sulfuric acid to provide basic theory data.
Co2 utilisation focused on market relevant dimethyl ether production, via 3d printed reactor- and solid oxide cell based technologies

The CO2Fokus project aims to realise the full potential of a number of concrete strategies to exploit the direct use of CO2 for the production of dimethyl ether (DME) by CO2 hydrogenation. With CO2 utilisation at its heart, CO2Fokus will seek to exploit the inherent advantages of both chemical and electrochemical systems to establish robust, industrially optimal proofs-of-concept, reaching TRL 6 by the end of the project. The project will explore energy-efficient processes for two separate, potentially integrated systems, namely a 3D printed multichannel reactor and a solid oxide fuel cell (for co-electrolysis and electrolysis/reverse operation). Both systems will be evaluated for operational flexibility in an industrial environment with a CO2 emission point source. H2, as a renewable energy source, will be supplied via the solid oxide cell operating in electrolysis mode,
The central focus will be on producing tangible improvements to the industrial processes in terms of energy efficiency and cost saving, by optimising the most promising conventional catalyst systems as well as innovative carbon-based ones. To this end, the catalyst will be printed and assembled as multi-channel arrays into modular, mobile prototype demonstration units. To enhance the effectiveness of the partners’ innovation efforts and reach ambitious commercial goals, CO2Fokus draws on expertise from partners across the industrial value chain, from industrial CO2 emitters, experts in catalyst manufacturing, petrochemical process engineering, chemistry and fuel cell specialists, offering a wealth of inter-disciplinary and market-oriented experience.
Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing

Semantic parsers critically rely on accurate and high-coverage lexicons. However, traditional semantic parsers usually utilize annotated logical forms to learn the lexicon, which often suffer from the lexicon coverage problem. In this paper, we propose a graph-based semi-supervised learning framework that makes use of large text corpora and lexical resources. This framework first constructs a graph with a phrase similarity model learned by utilizing many text corpora and lexical resources. Next, graph propagation algorithm identifies the label distribution of unlabeled phrases from labeled ones. We evaluate our approach on two benchmarks: Webquestions and Free917. The results show that, in both datasets, our method achieves substantial improvement when comparing to the base system that does not utilize the learned lexicon, and gains competitive results when comparing to state-of-the-art systems.
[Down-regulation of Smoothened gene expression inhibits proliferation of breast cancer stem cells].

To investigate the influence of down-regulating Smoothened (SMO) gene expression through short hairpin RNA (shRNA) on the proliferation of breast cancer stem cells.Human SMO shRNA was designed, synthesized chemically, and transfected into MCF-7 cells to down-regulate SMO gene. By using G418, stable cells with down-regulated SMO were selected. In vitro proliferation of these cells was measured by CCK8 assay. The proportion of CD44(+)/CD24(-) cells was detected by flow cytometry and the mammospheres formation was determined by suspension sphere culture. The expression of SMO, GLI1 and Oct4 was detected by Western blot. In vivo, the volume of tumor was measured every 3 days and the expression of SMO, GLI1 and Oct4 detected by Western blot.In vitro, the cells were transfected with SMO-shRNA and selected by G418 after 21 days. SMO-shRNA effectively down-regulated the expression of SMO gene and protein, and inhibited the proliferation of MCF-7 and markedly reduced the proportion of CD44(+)/CD24(-) cells and mammospheres. In vivo, SMO-shRNA treatment of MCF-7 significantly inhibited the volume of tumor. The positive rate of SMO in negative control and SMO-shRNA group was 5/5 and 2/5, respectively. The expression of SMO, GLI1 and Oct4 in different groups were 0.72 ± 0.17 and 0.21 ± 0.09, 1.21 ± 0.21 and 0.47 ± 0.12, 0.83 ± 0.13 and 0.25 ± 0.07. SMO, GLI1 and Oct4 down-regulation significantly suppressed at protein levels (P < 0.05).The shRNA by chemical synthesis can effectively down-regulate SMO gene expression and inhibit the proliferation of breast cancer stem cells.
Al2O3:Cr3+ microfibers by hydrothermal route: Luminescence properties

Abstract Uniform Al 2 O 3 :Cr 3+ microfibers were synthesized by using a hydrothermal route and thermal decomposition of a precursor of Cr 3+ doped ammonium aluminum hydroxide carbonate (denoted as AAHC), and characterized by X-ray diffraction (XRD), scanning electron microscope (SEM), photoluminescence (PL) spectra and decay curves. XRD indicated that Cr 3+ doped samples calcined at 1473 K were the most of α-Al 2 O 3 phase. SEM showed that the length and diameter of these Cr 3+ doped alumina microfibers were about 3–9 μm and 300 nm, respectively. PL spectra showed that the Al 2 O 3 :Cr 3+ microfibers presented a broad R band at 696 nm. It is shown that the 0.07 mol% of doping concentration of Cr 3+ ions in α-Al 2 O 3 :Cr 3+ was optimum. According to Dexter's theory, the critical distance between Cr 3+ ions for energy transfer was determined to be 38 A. It is found that the curve followed the single-exponential decay.
Stellar and Planetary Characterization of the Ross 128 Exoplanetary System from APOGEE Spectra

The first detailed chemical abundance analysis of the M dwarf (M4.0) exoplanet-hosting star Ross 128 is presented here, based upon near-infrared (1.5--1.7 \micron) high-resolution ($R$$\sim$22,500) spectra from the SDSS-APOGEE survey. We determined precise atmospheric parameters $T_{\rm eff}$=3231$\pm$100K, log$g$=4.96$\pm$0.11 dex and chemical abundances of eight elements (C, O, Mg, Al, K, Ca, Ti, and Fe), finding Ross 128 to have near solar metallicity ([Fe/H] = +0.03$\pm$0.09 dex). The derived results were obtained via spectral synthesis (1-D LTE) adopting both MARCS and PHOENIX model atmospheres; stellar parameters and chemical abundances derived from the different adopted models do not show significant offsets. Mass-radius modeling of Ross 128b indicate that it lies below the pure rock composition curve, suggesting that it contains a mixture of rock and iron, with the relative amounts of each set by the ratio of Fe/Mg. If Ross 128b formed with a sub-solar Si/Mg ratio, and assuming the planet's composition matches that of the host-star, it likely has a larger core size relative to the Earth. The derived planetary parameters -- insolation flux (S$_{\rm Earth}$=1.79$\pm$0.26) and equilibrium temperature ($T_{\rm eq}$=294$\pm$10K) -- support previous findings that Ross 128b is a temperate exoplanet in the inner edge of the habitable zone.
Protein gels and emulsions from mixtures of Cape hake and pea proteins

Portioning of frozen fish generates by-products such as fish 'sawdust' and cut-offs which can be further processed into protein concentrates and isolates. The objective of the present work was to produce gels and emulsions using recovered Cape hake protein powder (HPP). In previous works, the structures of the gels produced by HPP were found to be strong, with a high rubbery character. In this work, the addition of commercial pea proteins (PPC) to HPP gels and emulsions was studied.Physical properties of gels and emulsions prepared with different proportions of mixtures of PPC and HPP were evaluated. In general, gels and emulsions showed high values for whiteness and, as expected, the higher content of HPP in the protein mixtures led to higher firmness values of the gels. The gel network was rapidly formed upon heating due to the fish protein macromolecules and further reinforced by the pea protein macromolecules when cooled to 5 °C. Both visco-elastic parameters, storage and loss moduli, of the produced gels increased with the HPP proportion in the protein mixtures, corresponding to more structured systems. For the emulsions, two different pH environments were studied: 3.8 and 7.0. At neutral pH a synergy was found between the vegetable and fish protein, which is not so strong when pH is lowered to 3.8, near the isoelectric point of pea proteins (pI = 4.5). This evidence was supported by the results from the texture measurements, viscosity and visco-elastic parameters.Gels made from Cape hake proteins showed a softer texture and were less rubbery with the addition of pea proteins. Emulsions stabilised by these mixtures showed slightly different behaviour when produced at pH 7.0 or pH 3.8.
A comparison of preprocessing methods for solar force-free magnetic field extrapolation

Extrapolations of solar photospheric vector magnetograms into three-dimensional magnetic fields in the chromosphere and corona are usually done under the assumption that the fields are force-free. The field calculations can be improved by preprocessing the photospheric magnetograms. We compare two preprocessing methods presently in use, namely the methods of Wiegelmann et al. (2006) and Fuhrmann et al. (2007). The two preprocessing methods were applied to a recently observed vector magnetogram. We examine the changes in the magnetogram effected by the two preprocessing algorithms. Furthermore, the original magnetogram and the two preprocessed magnetograms were each used as input data for nonlinear force-free field extrapolations by means of two different methods, and we analyze the resulting fields. Both preprocessing methods managed to significantly decrease the magnetic forces and magnetic torques that act through the magnetogram area and that can cause incompatibilities with the assumption of force-freeness in the solution domain. Both methods also reduced the amount of small-scale irregularities in the observed photospheric field, which can sharply worsen the quality of the solutions. For the chosen parameter set, the Wiegelmann et al. method led to greater changes in strong-field areas, leaving weak-field areas mostly unchanged, and thus providing an approximation of the magnetic field vector in the chromosphere, while the Fuhrmann et al. method weakly changed the whole magnetogram, thereby better preserving patterns present in the original magnetogram. Both preprocessing methods raised the magnetic energy content of the extrapolated fields to values above the minimum energy, corresponding to the potential field. Also, the fields calculated from the preprocessed magnetograms fulfill the solenoidal condition better than those calculated without preprocessing.
Developing services of the IGRA Development Agency in order to improve information for entrepreneurs

The implementation of the project Development Agency of the IGRA will enhance the availability of relevant information for entrepreneurs from the City of Ivanić Town and East of Zagreb County. The project will organise 11 news workshops for SMEs, 11 SME matchmaking events and support institutions and other business stakeholders. The outreach activities will include topics related to the EU and other sources of financing, business start-up and development of sustainable business activities, sustainable development, as well as issues arising from the regular business and topicality of the legislation. The IGRA website will also be upgraded with new content and developed by a single web tool (municipal charges calculator).
Infrared imaging and sensing: the single-photon frontier

Infrared sensing technology has a central role to play in addressing 21st century global challenges in healthcare, security and environmental sensing.  Promising new applications hinge on the ability to detect individual quanta of light: single photons.  At infrared wavelengths this is a formidable task due to the low photon energy, and commercial-off-the-shelf technologies fall far short of the required performance.  IRIS will engineer revolutionary photon counting infrared imaging and sensing solutions, with unprecedented spectral range, efficiency, timing resolution and low noise.  Using state-of-the-art materials and nanofabrication techniques, novel superconducting detector technology will be scaled up from single pixels to large area photon counting arrays.  Efficient readout and optical coupling solutions will be developed and implemented.  IRIS will exploit space age cryogenic technology to create compact and mobile detector systems.   IRIS will deploy these systems for the first time in revolutionary infrared imaging and sensing applications: dosimetry for laser based cancer treatment, atmospheric remote sensing of greenhouse gases and real-time distributed fibre sensing for geothermal energy.
Geochemical influence of soil on leaf and grape (Vitis vinifera L. 'Cencibel') composition in La Mancha region (Spain)

The main purpose of the study was to evaluate major and trace elements contained in topsoil from representative plots of vineyards located in La Mancha, Spain, to obtain an elemental fingerprint of vines. The samples evaluated were obtained from topsoil in six different plots, belonging to the region of La Mancha, characterized by the cultivation of vineyards (near 189.127 ha). Twenty different vines from each plot were chosen to take samples from grapes, petioles and leaves. Analyses were carried out by X-ray Fluorescence applied on soils and dried vegetal matter. Biological Absorption Coefficient (BAC) was calculated to assess the uptake of minerals by vines as a function of their specific content in soil. The BAC in leaves and grapes was very similar for all studied elements. High contents of Ca, Sr, Ni and rare earth elements (La, Ce and Nd) were found along with low contents in Al, Zr, Ba, Cu, Zn and Pb, and normal contents in the rest of the elements. BAC in grapes was lower for the majority of the studied elements but it is interesting to underline the contents of Cs, K, Nb, Ce, Zn and Sr as possible markers of soil fingerprinting in the resulting wines.