SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Brownfield decontamination in southern europe. preparing pcp to r+d for efficient, cost effective and innovative solutions for brownfields decontamination

Public procurement represents +/-19% of the EU’s GDP. Historically a small and slower uptake of innovations has been witnessed along with the fragmentation of publ demand.. PE represents a fundamental driver of innovation and competitiveness.Urban regeneration conducted by Bilbao confirms that the development of mixed formulas publ-priv for projects of mutual interest entails higher quality, effectiveness+efficiency in the management of publ services. Innovation procurement of products and services can (i) be used to deliver societal objectives requiring new solutions not available on the market or too expensive (ii) solve problems related the commercialization of innovative solution (iii) improve quality+efficiency of publ services with  better value 4 $. It is clearly set by the BRODISE project. Objectives:Mobilize publ+priv purchasers+cities networks of cities in SD, , to understand in-depth the technology state of the art and the innovation gap to be addressed by significant R&D,Structure+design a pcp initiative, leveraging the complementarity of the partners for bringing together the demand so create a critical mass for acquire cost-effective solutions, whilst creating new jobs and opportunities for business growth in Europe, specially SMEs. The driver is essentially economic. A complex challenge-based approach has been assumed by the consortium to:Confirm and describe a real technological demanding problem that impact negatively on the PE and on quality of life for all; Avoid the hyper-fragmentation of PP, pre-determine the condition for the development of new EU standard; Predetermine a  competitive market, also enabling and preparing the participation of new players, Enable knowledge sharing.At the end the procurers will be able to lunch PCP and an earlier reality check of industry R&D Undertake efficient solutions for brownfields SD through PCP are: Decontaminate the entire brownfield, coordinate resources,use the most advanced innovative decont techniques.
Compositional effects on the dynamic properties of municipal solid waste

Large-scale cyclic simple shear tests were conducted on reconstituted specimens of municipal solid waste (MSW) collected from the Tri-Cities landfill in Fremont, California, USA. The influence of waste composition and compacted unit weight on the shear wave velocity, small-strain shear modulus, and strain-dependent shear modulus reduction and damping ratio curves of MSW was investigated in these tests. Modulus reduction and damping ratio curves were evaluated over a strain range of 0.01-3%. Specimens were reconstituted using 100%, 65%, and 35%, by weight, of the material that passed through a 20mm screen and four different levels of compaction effort. All specimens were consolidated under a normal stress of 75 kPa prior to testing. The test results show a very strong dependence of shear wave velocity and small strain shear modulus on unit weight. Unit weight also had an influence on modulus reduction and damping ratio. Waste composition had a very strong influence on damping and also influenced shear wave velocity, small strain shear modulus, and modulus reduction. The interrelationship between unit weight and waste composition made it difficult to separate out the effects of these parameters.
Modern architecture for photonic networks-on-chip

Development in photonic integrated circuits (PICs) provides a promising solution for on-chip optical computation and communication. PICs provides the best alternative to traditional networks-on-chip (NoC) circuits which face serious challenges such as bandwidth, latency and power consumption. Integrated optics have substantiated the ability to accomplish low-power communication and low-power data processing at ultra-high speeds. In this work, we propose a new architecture for NoC, which might improve overall on-chip network performance by reducing its power consumption, providing large channel capacity for communication, decreasing latency among nodes and reducing hop count. Some of the key features of the proposed architecture are to reduce the waveguide network for communication among nodes, and this architecture can be used as a brick to construct other architectures. In this architecture, we use micro-ring resonator (MRR) and it is used to provide a high bandwidth connection among nodes with a lesser number of waveguide networks. Furthermore, results show that this architecture of PICs provides better performance in terms of low communication latency, low power consumption, high bandwidth. It also provides acceptable FSR value, FWHR value, finesse value and Q-factor of micro-ring resonators used for the design of MRR in this architecture.
TOUCH SCREEN WAVEFORM DESIGN APPARATUS FOR WELDERS

Welding systems and programming tools are described, in which a touch screen-based welding system configuration tool is provided having a touch screen display for designing welding power source waveforms or for configuring a system sequence controller, where the touch screen may be integrated into a welding system component. The touch screen displays information related to a switching type welding power source and/or a welding system sequence controller, as well as one or more touch activation indicia to allow a userto numerically or graphically configure the power source or the sequence controller by touching the touch activation indicia.
High-Throughput single-cell phenotypic analysis of functional antibody repertoires

Antibodies play an important role ensuring successful protection after vaccination. Upon injection, antigen-binding antibodies are generated to prime the host’s immune system for future encounters with the threat. These responses are highly heterogeneous, with each cell contributing with a single antibody variant to the complexity. Each antibody variant furthermore can recognize a different antigen/epitope with varying specificity and affinity. The immunological function induced is related to those parameters.

Depending on the nature of the threat, required protective functional antibodies vary. Therefore, also each vaccination against those threads needs to trigger a specific functional antibody repertoire. Presently, induced functional antibody repertoires have not yet been studied sufficiently, mostly due to the lack of technologies that enable analysing these repertoires with high enough throughput and resolution. Consequently, the mechanisms behind the evolution of these functional repertoires, and the influence of vaccination on these repertoires remain poorly understood.

An innovative technology combined with a methodical approach to vaccinations will enable the FuncMab research team to generate data sets needed for the understanding of immunological processes that result in different functional antibody repertoires. Herein, antibodies are analysed on the individual cell level in high-throughput using specific bioassays that target various antibody functions and their biophysical parameters, generating high-resolution data. These functional repertoires are followed over time and evolutionary changes can be linked to introduced vaccine variations, allowing a quantitative approach to study the changes within the repertoires. These in-depth data sets will not only allow understanding interactions between vaccine components and their generated immune responses, but also propels this project to the forefront of creating a new generation of successful vaccines
ELECTROLYTIC DEVICE

An electrolytic device includes: an electrolytic tank; an ion exchange membrane configured to partition the electrolytic tank into a cathode chamber and an anode chamber; a catholyte supply unit configured to supply an electrolytic solution serving as a catholyte to the cathode chamber; a catholyte discharge unit configured to discharge the catholyte from the cathode chamber; an anolyte supply unit configured to supply an electrolytic solution serving as an anolyte to the anode chamber; an anolyte discharge unit configured to discharge the anolyte from the anode chamber; a cathode provided on a surface of the ion exchange membrane on the cathode chamber side; an anode provided on a surface of the ion exchange membrane on the anode chamber side; a cathode side power feeder provided in the cathode chamber and configured to supply electric power to the cathode; and an anode side power feeder provided in the anode chamber and configured to supply electric power to the anode. A pH of the catholyte is lower than a pH of the anolyte.
Integrated organic rankine cycle system for simultaneous utilization of solar energy and lng cold energy

Both renewable energy (e.g. solar energy) and conventional fuels (e.g. Liquified Natural Gas (LNG)) play an important role in the future energy market. Rising electricity demand, finite fossil fuel reserves and environmental concerns motivate the switch to renewable energy sources, increasing energy efficiency, and recovery of unused energy streams. I am determined to make my own contribution in dealing with these issues. This project aims to develop a holistic systematic method for a future energy system design for an integrated Organic Rankine Cycle (ORC) for simultaneous utilization of solar energy and LNG cold energy. Through various training during my Ph.D. research, I am equipped with good knowledge regarding (ORC), process integration and optimization. As a postdoc at Norwegian University of Science and Technology and Massachusetts Institute of Technology, I obtained experience in the field of Process Systems Engineering and energy system optimization. I would like to extend my knowledge and skills with the optimization under uncertainties, process risk analysis, and environmental impact assessment to design a combined renewable and conventional energy system based on an interdisciplinary approach. Therefore, I have decided to apply for a Marie Curie Individual Fellowship at the Process and Systems Engineering Center at DTU, which excels in the simulation-based optimization, process risk analysis, and environmental impacts assessment. In the future, I would like to continue focusing on future energy system design as well as greenhouse gas emissions and aim to deliver novel applicable energy systems featuring high efficiency and profitability, but low risk and low environmental impacts. The training I would get through a Marie Curie fellowship, would also bring me closer to a more permanent faculty position and job opportunities in LNG related industries.
Methodological proposal to classify and delineate natural protected areas. Study case: Region of Extremadura, Spain

Abstract A significant change to Natural Protected Areas (NPAs) has been occurring worldwide. This change could cause concurrently potential damages related with NPA characteristics. Particularly, many regions of Spain face strong pressure due to their geographical, demographic and economic handicaps. This study presents a methodological proposal for properly classifying and delineating NPA, highlighted in a case region of Extremadura, being NATURA 2000 site of local heritage and one of less developed regions in European Union (EU). With Geographic Information System (GIS), the case region was firstly analyzed and then presented the real geo-socio-economic impact and environmental protection implementation, which urgently need to adopt a new methodological proposal with the complex and diverse legislations. Knowing the problems from the case region analyzed, the methodological proposal as the objective of this research describes how to define proper criteria, how to propose land use plan, and how to analyze socio-economic development with professional and public participation for NPA, and, therefore, to revitalize the problematic area. Thus, this methodological proposal as new valuable approach, which filling a niche of current outdated NPA, can be used and reapplied to other destinations with similar geographical characteristics for analyzing its current situations and predicting its future improvements.
A comparison of "clutter-agnostic" PHD filters

This paper describes a general approach for deriving PHD/CPHD filters that must estimate the background clutter process, rather than being provided with it a priori. I first derive general time- and measurementupdate equations for clutter-agnostic PHD filters. I then consider two different Markov motion models. For the Uncoupled Motion (UM) model, targets can transition only to targets, and clutter generators can transition only to clutter generators. For the Coupled Motion (CM) model, targets can transition to clutter generators and vice-versa. I demonstrate that R. Streit's multitarget intensity (MIF) is actually a PHD filter with a CM model. Streit has made the following claims for the MIF: it subsumes the conventional PHD filter as a special case, and can estimate both the clutter rate lk+1 and the target-birth rate Bk+1|k. I exhibit counterexamples to these claims. Because of the CM model, the MIF (1) does not subsume the conventional PHD filter as a special case; (2) cannot estimate Bk+1|k when there are no clutter generators; and (3) cannot estimate lk+1 when the target birth-rate and target death-rate are conjugate. By way of contrast, PHD filters with UM models do include the PHD filter as a special case, and can estimate the clutter intensity function kk+1(z). I also show that the MIF is essentially identical to the UM-model PHD filter when the target birth-rate and death-rate are both small.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Integrated value function construction with application to impact assessments

An integrated structure is provided for processing various forms of imprecise preference information in the context of multicriteria impact assessments. Linear programming formulations generate best-t value function models and associated ranking of alternatives, both when preferences are over-determined (leading to potential inconsistencies) or when preference information is incomplete. In the latter context, the algorithm identies a range of possible rank orders for the decision alternatives under consideration, consistent with the information provided. The approach is primarily aimed at structuring opinions of experts concerning the desirability of dierent actions in terms of technical aspects, intended as input into the nal political decision making process. It is demonstrated that the approach described here can be implemented with modest levels of eort by the experts. Experiences are reported with the approach in the context of a problem of a soil sanitation problem in the Netherlands, in which experts expressed satisfaction with the resulting rank ordering of alternatives.
Distribution of amoxicillin-resistant oral streptococci in dental plaque specimens obtained from Japanese children and adolescents at risk for infective endocarditis

Infective endocarditis (IE) is known to be a life-threatening disease and prevention of its onset is important. Oral amoxicillin (AMPC) is generally prescribed to patients at risk for IE prior to undergoing risky procedures, such as invasive dental treatments. We previously found that approximately 5% of systemically healthy Japanese subjects harbor strains highly resistant to AMPC. In the present study, the prevalence of strains in patients at risk for IE was investigated.Thirty-four Japanese children and adolescents designated at risk for IE by their cardiovascular surgeons participated. Dental plaque specimens were obtained at recall examinations for dental checkups and placed in sterile phosphate-buffered saline, then diluted and streaked onto selective media for oral streptococci and also media containing AMPC. Nine strains with a minimum inhibitory concentration of AMPC of 16μg/mL or more were isolated from 7 of the subjects (20.6%), each of which was also resistant to other antibiotics analyzed except for new quinolone drugs. The 16S rRNA sequence of each strain demonstrated that all were oral streptococcal species. In addition, dental plaque specimens collected from 5 subjects after an additional interval of 3-4 months showed that 2 harbored the same clones at different time points.These findings suggest a higher prevalence of AMPC-resistant strains in children and adolescents at risk for IE as compared to systemically healthy subjects. Thus, alternative antibiotics should be considered for such subjects when performing prophylaxis procedures.
DEVICE AND SYSTEM FOR MODULATING THE PHASE OF AN OPTICAL SIGNAL, BASED ON GRAPHENE AND/OR CARBON-BASED NANOSTRUCTURED MATERIALS

Disclosed are a device and system for modulating the phase of an optical signal, based on graphene and/or carbon-based nanostructured materials. The device and system for modulating the phase of an optical signal, based on graphene, essentially comprise: a graphene-based electro-optical device in which light interacts with the graphene, such that a variation of the phase of the optical signal is produced, without significant variation of the amplitude or intensity thereof; an optical interface that allows the phase variation produced in the optical signal to be analysed or monitored; and an electronic interface that allows the graphene to be acted upon by modifying the properties thereof in order to modify the phase of the optical signal, without affecting the intensity of same.
Supervised sparse coding strategy in hearing aids

Hearing impaired people are struggling more understanding speech that is corrupted with noise than normal hearing listeners. In this paper we develop a supervised single channel sparse coding (SC) strategy for hearing aid (HA) users in noise environment. In this algorithm, the sparse coding and shrinkage principles are applied to noisy speech. The algorithm is implemented in the temporal domain by arranging one-dimensional speech into a data matrix. The strategy not only reduces background noise but also extracts key information from speech. The performance of the supervised sparse coding strategy is compared with other state-of-art noise reduction strategies (Wiener filtering and spectral subtraction) in both objective and subjective experiments. Results show that sparse coding leads to better sound quality (objective measures) and preserves the level of intelligibility (subjective measures).
METHOD FOR CUTTING OPEN A SLAUGHTERED ANIMAL WHICH IS SUSPENDED WITH ITS LEGS FROM A SUSPENSION HOOK OF A CONVEYOR

The invention relates to a method for cutting open a slaughtered animal (1), in particular fowl, which is suspended with its legs from a suspension hook of a conveyor, in particular, but not limited to, making an incision in the belly of a slaughtered bird, wherein the method comprises the step of making a first incision (9) in the skin of the slaughtered animal, which first incision extends substantially in a first direction of the slaughtered animal.
Materials for neuromorphic circuits

Large efforts are invested into developing computing platforms that will be able to emulate the low power consumption, flexibility of connectivity or programming efficiency of the human brain. The most common approach so far is based on a feedback loop that includes neuroscientists, computer scientists and circuit engineers. Recent successes in this direction motivate the scientific community to start working on the next big challenge: using materials that emulate neural networks. For that, new players are needed: material scientists, who look into alternatives to silicon in order to develop basic device units, more fitting to the needs of cognitive-type processing than current transistors. We notice that recent progress in chemistry and materials sciences (atomically controlled materials) and nanotechnology (diversity of tools to probe the nanometer scale) brings exciting possibilities for novel approaches in the area of neuromorphic computing. Clearly, the type of materials, physical responses and spatial dimensions considered in the design of neuromorphic systems will crucially determine their utilization, properties and cost, and consequently their societal and economic impact. Therefore, it is urgent that chemists and materials scientists also join forces in the development of the future neuromorphic computer. MANIC aims to offer complementary expertise to current approaches by recruiting fifteen Early Stage Researchers (ESRs) and providing them with the best possible research, academic and professional training, to prepare them for the challenge of developing advanced materials with memory, plasticity and self-organization that will perform better than the current solutions to emulate neural networks and, eventually, learn.
End of life care for people with a learning disability

To explore the experiences of learning disability and district nurses caring for people with a learning disability at the end of their lives.A small-scale semi-structured qualitative study involving interviews was carried out to explore the experiences of healthcare professionals from two specialist healthcare settings.Healthcare professionals felt that formal guidelines and support were needed in this complex area. The study also revealed that successful provision of palliative care for people with a learning disability requires a person-centred approach.Modifications to existing palliative care services, involving joint working, improved co-ordination and reasonable adjustments, is recommended. This aims to address any inequalities in care provision for people with a learning disability who are at the end of their lives.
Photoelectrocatalytic degradation of triclosan on TiO2 nanotube arrays and toxicity change

Triclosan, one of the most widely used disinfectants, has been found to be toxic to animals and human beings. In this paper, triclosan was degraded on TiO2 nanotube arrays, using a photoelectrocatalytic (PEC) process under UV illumination, with Na2SO4 as the supporting electrolyte. The effect of bias potential was investigated and the results showed that 0V was the most appropriate potential for the degradation of triclosan. In 30min, 78.7% of triclosan had degraded during the PEC process. Intermediate analysis showed that 2,7-dichlorodibenzodioxin (DCDD) had formed during the degradation. The toxicity change during the PEC process was investigated using a luminescent bacteria test, with the results demonstrating that the toxicity of the reaction liquid decreased at the beginning and subsequently increased to a stable level. The indications were that some intermediates such as 2,7-dichlorodibenzodioxin was more toxic and stable than triclosan in the solution.