SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Towards digital fundamental mode orthogonal fluxgate

Noise of orthogonal fluxgate in fundamental mode has been strongly reduced in the last years, making it a very competitive vectorial sensor of magnetic field at room temperature. The most important results have been achieved reducing the 1/f noise, which can reach about 1 pT/√Hz at 1 Hz. However, the noise floor is still an issue, which cannot be ignored anymore. The problem of the noise floor in fundamental mode orthogonal fluxgate became evident when sensors based on annealed wire-cores have been proposed. By annealing the wire with proper current flowing through it, the circumferential anisotropy is increased and therefore the 1/f noise reduced. However, the sensitivity is also reduced and that affects the noise floor, which is typically due to the white noise of analog demodulator. The challenge is to produce sensors with simultaneously low 1/f noise and low noise floor. For this reason we propose a transition to digital demodulation of the output voltage of the sensor. The voltage is digitized by high-speed high-resolution digitizer and the first harmonic extracted numerically. In this way we get rid of the noise of the analog demodulator. In this paper we prove that using this method we reduce the noise floor from 650 fT/√Hz to 400 fT/√Hz, a value which could never be achieved with analog demodulator, without increasing the 1/f noise. Moreover, we show how a digital demodulation allows us to efficiently compensate the noise in the output of the sensors due to excitation current. This result is achieved by simultaneous sampling of the excitation current and applying an algorithm based on its correlation to the output voltage of the sensor.
Quasi-monolithic saturable optical element.

An element has an axis along which the beam is propagated and comprises an undoped substrate relatively transparent to the beam and having front and rear faces at a predetermined apex angle with respect to each other. On the rear face there is a dielectric coating that reflects the beam while on the front face there is a saturable absorber platelet having a front surface disposed at Brewster's angle to the optical axis. Retroreflection is provided by the dielectric coating, polarisation by the orientation of the element relative to the optical axis, and saturable absorption by the platelet. Pref. the host material of the platelet is a single crystal of garnet or a glassy material doped with Cr4+ to a predetermined optical density of LiF, and the dielectric coating is multiple layers of silicon dioxide with titanium dioxide or zirconium dioxide. There may be a stack of platelets secured to each other and to the substrate by optically transparent cement.
WIRELESS INFORMATION CARRIER

Communication between RFID tags and RFID reader conveyed by an inductive link comprising a first (114, 212, 324)and a second coil (118, 216, 328) interconnected by a pair of conductors (116, 326) characterised in that the first coil (114, 212, 324) is configured to interact electromagnetically with a communication unit (110, 210, 320) and the second coil (118, 216, 328) is configured to interact electromagnetically with a wireless memory unit (122, 316). The inductive link may be realised as conducting wires or as cut-outs of metal plate, and possibly employed for specifically accessing individual RFID tags by using a switching means, and employed in a system for identification and organisation of laboratory samples.
Novel technologies for dark matter search and frontier astroparticle physics experiments

Experimental astroparticle physics is currently one of the most vibrant and exciting areas of fundamental physics and in the coming decade there is a real potential to experimentally resolve two remaining big puzzles in our understanding of the Universe: the nature of dark matter (DM) and the Baryon Asymmetry of the Universe (BAU, i.e. why there is more matter than antimatter).

We currently do not know what is the nature of 95% of the energy density of our Universe. Astronomical observations tell us that at least 23% of the unknown density should behave like matter – as we cannot see it, we call it dark matter. The exact nature of DM (and dark energy) is still unknown and its origin is at present one of the most important questions in physics. Particle physics beyond the Standard Model provides several candidate particles which could be the DM. Out of these, Weakly Interacting Massive Particles (WIMPs) are the best motivated. Discovering them would be a major breakthrough and a sign of physics beyond the Standard Model.

The DarkWave consortium aims to make key contributions towards this discovery by: (1) building DarkSide-20k, the next generation experiment searching for dark matter via elastic scattering of dark matter particles in liquid argon (LAr), with sensitivity two orders of magnitude beyond current searches at ~1 TeV/c2 WIMP mass, (2) developing new technologies for ARGO and DarkSide-LM, the ultimate detectors, able to probe the full parameter space where WIMPs can be found. It will also (3) exploit technological synergies with two other key areas in astroparticle physics: long-baseline neutrino oscillation experiments (DUNE) and gravitational wave detection.
A Quantum Chemistry Investigation on the Mechanisms of Ozonolysis of Crylic Acid

The reaction mechanism between ozone molecule and crylic acid has been studied using the density functional theory(DFT) methods. The geometries of all the stationary points involved in the reaction are completely optimized by the MPW1K/6-31+G(d,p) level of theory. The relative energy obthained at the MPW1K/6-31+G(d,p) level of theory are further refined with the zero point energy correction(ZPE). The geometries and energy for stationary points are validated by the MPWB1K/6-31+G(d,p) level of theory and the BHandHLYP/6-31+G(d,p) level of theory. In addition, all the transition states and intermediates are verified by the frequency analysis calculations. The results indicate that ozone reacts with crylic acid feasibly because of the low barrier on its energy profile.. And OH yields can be product in a variety of reaction channels. Beside, there will be two isomers of COOHHCOO radicals produced from the decomposition of different transition states. The isomers have their own reaction pathways. And syn-COOHHCOO has higher activation energies and can decomposes OH radicals.
Effects of Long-Term Exercise on Age-Related Hearing Loss in Mice

Regular physical exercise reduces the risk for obesity, cardiovascular diseases, and disability and is associated with longer lifespan expectancy (Taylor et al., 2004; Pahor et al., 2014; Anton et al., 2015; Arem et al., 2015). In contrast, decreased physical function is associated with hearing loss among older adults (Li et al., 2013; Chen et al., 2015). Here, we investigated the effects of long-term voluntary wheel running (WR) on age-related hearing loss (AHL) in CBA/CaJ mice, a well established model of AHL (Zheng et al., 1999). WR activity peaked at 6 months of age (12,280 m/d) and gradually decreased over time. At 24 months of age, the average WR distance was 3987 m/d. Twenty-four-month-old runners had less cochlear hair cell and spiral ganglion neuron loss and better auditory brainstem response thresholds at the low and middle frequencies compared with age-matched, non-WR controls. Gene ontology (GO) enrichment analysis of inner ear tissues from 6-month-old controls and runners revealed that WR resulted in a marked enrichment for GO gene sets associated with immune response, inflammatory response, vascular function, and apoptosis. In agreement with these results, there was reduced stria vascularis (SV) atrophy and reduced loss of capillaries in the SV of old runners versus old controls. Given that SV holds numerous capillaries that are essential for transporting oxygen and nutrients into the cochlea, our findings suggest that long-term exercise delays the progression of AHL by reducing age-related loss of strial capillaries associated with inflammation.Nearly two-thirds of adults aged 70 years or older develop significant age-related hearing loss (AHL), a condition that can lead to social isolation and major communication difficulties. AHL is also associated with decreased physical function among older adults. In the current study, we show that regular exercise slowed AHL and cochlear degeneration significantly in a well established murine model. Our data suggest that regular exercise delays the progression of AHL by reducing age-related loss of strial capillaries associated with inflammation.
Insulating composition with high permittivity for an electric cable or connection device for such cables

Insulation composition having high permitivity comprises a polymer matrix comprising an elastomer, a filler with high permitivity i.e. higher than 15, preferably higher than 40 and a conducting filler such as a filler doped with a conducting element, where the concentration of the conducting filler is lower than the concentration corresponding to the percolation threshold of the conducting filler in the polymer matrix. Independent claims are included for: (1) an electrical cable connecting device, comprising at least an electric field-control element, made up of the composition; and (2) an electrical cable, comprising at least an electric field-control element made up of the composition.
Advancing Large Scale Many-Body QMC Simulations on GPU Accelerated Multicore Systems

The Determinant Quantum Monte Carlo (DQMC) method is one of the most powerful approaches for understanding properties of an important class of materials with strongly interacting electrons, including magnets and superconductors. It treats these interactions exactly, but the solution of a system of $N$ electrons must be extrapolated to bulk values. Currently $N \approx 500$ is state-of-the-art. Increasing $N$ is required before DQMC can be used to model newly synthesized materials like functional multilayers. DQMC requires millions of linear algebra computations of order $N$ matrices and scales as $N^3$. DQMC cannot exploit parallel distributed memory computers efficiently due to limited scalability with the small matrix sizes and stringent procedures for numerical stability. Today, the combination of multisocket multicore processors and GPUs provides widely available platforms with new opportunities for DQMC parallelization. The kernel of DQMC, the calculation of the Green's function, involves long products of matrices. For numerical stability, these products must be computed using graded decompositions generated by the QR decomposition with column pivoting. The high communication overhead of pivoting limits parallel efficiency. In this paper, we propose a novel approach that exploits the progressive graded structure to reduce the communication costs of pivoting. We show that this method preserves the same numerical stability and achieves 70\% performance of highly optimized {\tt DGEMM} on a two-socket six-core Intel processor. We have integrated this new method and other parallelization techniques into QUEST, a modern DQMC simulation package. Using 36 hours on this Intel processor, we are able to compute accurately the magnetic properties and Fermi surface of a system of $N=1024$ electrons. This simulation is almost an order of magnitude more difficult than $N \approx 500$, owing to the $N^3$ scaling. This increase in system size will allow, for the first time, the computation of the magnetic and transport properties of layered materials with DQMC. In addition, we show preliminary results which further accelerate DQMC simulations by using GPU processors.
CELL CULTURE MEDIUM FOR THE GROWTH AND DIFFERENTIATION OF CELLS OF THE HEMATOPOIETIC LINEAGE

The present invention relates to a cell culture medium for the growth and/or differentiation of cells of the hematopoietic lineage, comprising: - insulin at a concentration of from 1 to 50 µg/ml; - transferrin at a concentration of from 100 µg/ml to 2000 µg/ml; and - plasma or serum at a concentration of from 1% to 30%.
The european remanufacturing network - coordinating and supporting european remanufacturers

Remanufacturing is an important component of a resource efficient manufacturing industry. By keeping components and their embodied material in use for longer, significant energy use and emissions to air and water can be avoided. In addition to environmental benefits, remanufacturing provides opportunities for the creation of highly skilled jobs and economic growth.  

Despite these accolades, remanufacturing is an undervalued part of the industrial landscape and an under-recognised sustainable industry. Activity to promote remanufacturing is currently undertaken at a sectoral level for some product sectors. In Europe, unlike in the recycling industry, cross-sectoral activities to facilitate knowledge transfer and promote the industry do not exist. Our major competitors, the US and China, already have a common vision and strategy for remanufacturing within their industrial landscape. An outcome may be that European remanufacturing could lose competitiveness against these more organised sectors. As a result, there is a real need for a European-level solution to encourage remanufacturing throughout Europe.

This proposal sets out the formation, coordination and support of a European Remanufacturing Network (ERN) over a project period of two years, which aims to:
• encourage new businesses to take up remanufacturing
• help existing remanufacturers improve their operations
• improve competitiveness of remanufacturers domestically and internationally
• create greater awareness of remanufacturing in the public and policy makers to increase demand and address barriers.

The aims of the ERN will be achieved through:
• mapping out the current remanufacturing landscape in Europe and estimating its future potential
• disseminating best practice in remanufacturing business models, processes and design
• providing industry with remanufacturing knowledge, tools and partnerships
• undertaking an information campaign to raise the profile of the European remanufacturing industry.
TURRET DEVICE FOR CONTINUOUS CASTING INSTALLATIONS

A turret device for continuous casting installations for the maneuvering of metallurgical supply vessels, in particular, pouring ladles and distributor gutters for pouring receivers and the like, includes a first bearing pivotable about a vertical axis which carries one or more arms for carrying the supply vessels which are rotatable with the pivot bearing for around the pivot bearing and a second set of pivotal arms which are independently or pivotable about the same or additionally concentrically arranged bearing at a distinct level from the first set of arms and which are provided for supporting distributor gutters and similar devices which are to be arranged at a different level from the ladles.
Ontology driven open translation environment

OntoTrans provides an ontology-based Open Translation Environment. Its Artificial Intelligence approach enables end users to represent in a standard ontological form their manufacturing process challenges and to connect them with relevant information sources and materials modelling solutions, capable to support optimal materials and process design. 
OntoTrans provides smart targeted guidance through the whole translation process, namely from the initial user case specification to actual materials modelling workflows with related validation, verification and uncertainty quantifications to deliver a full complete experience to companies. This is achieved via analysis of available data (data fusion), modelling workflow options, simulation and contextual results interpretation. 
OntoTrans is fully integrated into existing and emerging developments in materials and manufacturing, including integration with digital materials modelling marketplaces and open simulation platforms. Its footing on the European Materials Modelling Ontology ensuring wide interoperability and standardisation. OntoTrans is developed and tested alongside four industrial challenges covering different types of materials and industries, targeting increased competitiveness by means of a semantic data-driven and agile approach.
ENERGY CABLE WITH ELECTROCHEMICAL CHEMICAL ANALYTE SENSOR

An optical fiber or electrical power cable with at least one electrochemical chemical analyte sensor (12) which includes a conductive polymer which extends longitudinally along the length of the cable. The polymer has electrical properties which undergo a reversible change when in contact with a chemical analyte. The conductive polymer can be a conductive polymer composite including an immiscible polymer based of at least two polymers and a conductive filler which is dispersed in one of the polymers of the blend through a multiple percolation process. The cable has jacket (30) and the sensor(s) are disposed outside the core in proximity to an inner or outer surface of the jacket, or as part of the jacket, and not energy coupled to any energy conveying media in the cable, so that the presence of analytes in contact with the cable can be detected, the location along the longitudinal length of a cable where the cable is exposed to the analytes can be determined, penetration of the analytes into the cable occurs can be determined, whether damage has been caused to the cable by the analytes or otherwise can be determined and the identity of an analyte which is in contact with the cable can be determined.
Bringing personalized knowledge to students in public schools through artificial intelligence in elearning

In the EU, private and public expenditure per full-time student rose from 5,674 to 6,900, i.e. by almost 22% from 2005 to 2010 whilst PISA results remain largely stable. In order to impact students’ learning curve, we need advanced learning tools, i.e. e-learning needs to be infused with AI: content creation tools, adaptive learning, collaborating learning, and Open Education Resource management.
That is why we have created Icarus, an AI plugin system that can be installed on top of one of the most recognized free open source Dokeos e-learning platform. Icarus provides tools to students to frequent a learning path and to teachers to create one as a personalized and adaptive tutor with a series of modules. It will be available open source based on a freemium
business model where we only charge for customization work. There is currently no open source AI e-learning application available at a freemium.
The objective of a Phase II project will be to a) scale up the Icarus plugin system on top of the main open source e-learning platform additionally to Dokeos and to b) pilot Icarus in at least three public or private primary schools in two different EU countries. In Phase I, we will conduct a Feasibility Study and a Business Plan including the following objectives: feasibility
study, partner search, market, business model, risk and IP assessment as well as draft a work plan for Phase II.
The project Icarus responds to topic ICT-37-2015. As an innovative SME, we propose to scale-up our ICT product Icarus that will disrupt the market by being the first open source AI system for e-learning that can directly be used by all levels of educational institutions: This is going to have a measurable impact on education with students reaching higher scores in PISA evaluations and ultimately bringing better results as part of the future work force. The EC funding will allow us to grow our company significantly. We will invest in new staff to more than double our staff from 2015.
Product Counterfeiting and Survival of Selected Pharmaceutical Firms in Anambra State

This research is centered on Product Counterfeiting and the Survival of selected Pharmaceutical Firms. The poor consumer enlightenment campaign and security challenges make it difficult to combat the problem of Product counterfeiting, ineffective enforcement of the existing law, ignorance, corruption, lack of capacity in terms of work force, loose control system, non health professional in the drug business and lack of appropriate legislature. The study determines the nature of relationship between counterfeited product and attitude of the consumers with purchase intention. The study is anchored on Ajzen theory of planned behavior. The study employed descriptive research design, the primary source of data are the major instrument use for this study. Pearson product moment correlation was used to analyze the data with aid of SPSS version 22.The findings reveal that there is a positive relationship counterfeit product and the attitude of consumers with purchase intention. Base on the findings, the researcher recommends that government should equip the Agencies involve in combating Product counterfeiting proliferation with every logistics support needed to fight the nefarious crime.
INTERDISCIPLINARY AQUARIA FOR THE PROMOTION OF ENVIRONMENT AND HISTORY

The specific project aims at the creation of museums for the promotion of the marine environment and the cultural heritage. The idea of the project is to prepare a show of archaeological remains with a reproduction of the relicts on the sea bottom covered and modified by the sea and its living organisms. The above objective will be achieved through the realization of: • A detailed collection of information on bottom habitats and historical relicts in the participating areas • Joint short scuba surveys to document actual situations, with the development of a GIS MAP • Scenes (DIORAMA) with the reproduction of an ancient ship-relict with all its cargo in position. • Aquarium • A Documentation Point where people can study (a LIBRARY), discuss and/or communicate (a small Conference Hall)
An iterative MapReduce approach to frequent subgraph mining in biological datasets

Mining frequent subgraphs has attracted a great deal of attention in many areas, such as bioinformatics, web data mining and social networks. There are many promising main memory-based techniques available in this area, but they lack scalability as the main memory is a bottleneck. Taking the massive data into consideration, traditional database systems like relational databases and object databases fail miserably with respect to efficiency as frequent subgraph mining is computationally intensive. With the advent of the MapReduce framework by Google, a few researchers have applied the MapReduce model on a single graph for mining frequent substructures. In this paper, we propose to make use of the MapReduce programming model which achieves multifold scalability on a set of labeled graphs. We tested our method on both real and synthetic datasets. To the best of our knowledge, this is the first attempt to implement transaction graphs using the MapReduce model.
Progress and application prospect of pig induced pluripotent stem cells

Pig has always been the focus of establishing a big ungulate animal ES cell lines because of its convenient source, genetic similarity with humans, and their importance in animal husbandry, but little development is achieved. Induced pluripotent stem cells technology creates a new method of reprogramming somatic cells to pluripotent state. As the pig iPS cells is established and perfected, pig ES cells will be established in the coming years. The pig iPS cells will give a hint on other livestock ES cells. On the other hand, pig iPS cells can be used to improve the efficiency of transgenic cloning pigs to conduct effective breeding and conservation of breeds. It is particularly important that the pig iPS cells can provide new model for human medical research, a new donor cells for human tissue and organ engineering, and have extensive and far-reaching impact on the biomedical field. Here, we briefly review the major progress of iPS cells, and emphasize current state of pig iPS cells and its application prospect in biomedicine and animal husbandry in order to provide a useful reference for researchers working in this area.