SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Global omic data integration on animal, vegetal and environment sectors

Massive increases in analytical throughput together with reductions in costs have enabled multi-omics studies to be routinely performed at a scale not previously imagined. Two main barriers hamper our ability to reveal the mechanism behind a specific genotype-phenotype link: the cross-talk between multiple molecular layers cannot be properly assessed by a reductionist approach that analyses each omics layer in isolation; and the ever-growing amount of buried information in scientific literature and public omics datasets cannot be extracted without intelligent computational approaches.

 GLOMICAVE project addresses the need for building systems that allow streamlining both the experimental design and the analysis and integration at a systems level of large-scale omics experiments by maximizing the utility of pre-existing massive omics datasets and scientific literature to increase the understanding of biological systems as a whole.

The main outcome will be a multi-omics data analysis cloud-based platform, relying on Big Data Analytics and Artificial Intelligence techniques – and using large-scale publicly available and experimental omics datasets, enhanced with an automatic processing of scientific literature, to assist experts and non-experts in identifying and understanding new links between genotype and phenotype which apply to different domains. 

GLOMICAVE integrative approach will be validated in 3 different industrial sectors (livestock, agro-biotechnology and environment) addressing specific challenges in 6 business cases, which will pave the way for further uptake in other business areas. 

The success of GLOMICAVE builds upon the expertise of a multidisciplinary team of 14 partners with expertise in omics sciences; standardization; bioinformatics; environmental assessment; mathematical modelling; AI and BDA; plant and animal physiology; food quality, microbiology; bioengineering as well as ethical, legal and social aspects.
Bloch oscillations, wannier-stark localisation and coherent terahertz emission in twisted graphene superlattices

For the next generation of photonic applications, there is a growing need for solid-state devices operating in the terahertz regime. Bloch oscillations – one of the oldest known quantum phenomena–describes the fundamental behaviour of electrons in crystals in which a strong DC electric-field should cause electron oscillations in real-space that emit radiation. The effect thus provides a unique route towards tunable terahertz technologies.   However, experimental studies and the development of technologies based on Bloch oscillations have been hampered due to a lack of suitable materials.  Twisted graphene superlattices have recently emerged as an exciting new class of 2D heterostructures whose electronic spectra can be dramatically modified by twisting the crystal layers relative to one another, creating exotic materials that do not exist in nature. In particular, the superlattice potential that is intrinsic to these systems disperses electronic states within a significantly small Brillouin zone, making them ideal candidates for Bloch oscillations. Using a combination of electrical measurements and world-unique cryogenic near-field/far-field terahertz optics, Project BlochTG combines the disciplines of quantum transport and quantum optics to probe the intrinsic light-matter interactions of Bloch oscillations in twisted graphene superlattices. The action will be carried out by the experienced researcher, who is an expert on quantum transport in twisted graphene superlattices, in the lab of Professor Frank Koppens, who has spent the last ten years pioneering the near-field optics techniques described in this proposal. Project BlochTG hence outlines a timely research effort that seeks to understand the foundations of solid-state physics whilst simultaneously investigating novel device concepts for future terahertz technologies, in-line with key objectives of the Horizon 2020 European Roadmap for Graphene Science and Technology.
Quantum artificial neural networks with tensor network algorithmus

During the recent years, modern machine learning (ML) has sparked a revolution in areas so diverse as computer vision, voice recognition, medical diagnosis and finance. On its own, quantum information processing (QIP) has also gained tremendous momentum and a novel field, quantum machine learning (QML), has emerged from the intersection of the two disciplines. Interestingly, much of the understanding underlying the last revolution of ML is strongly connected to insights gained from condensed matter and statistical physics. It is then natural to use well-understood techniques to describe quantum many-body systems, namely, tensor networks (TN) in the context of ML.
The objective of Q-ANNTENNA is to develop a thorough understanding between ML processes and TN. The action will involve state-of-the-art theoretical research at the frontiers of QIP, TN and ML: (1) describing ML processes within the TN formalism, (2) importing TN insights into ML, (3) studying the renormalization process and (4) assessing physical implementations.
The experienced researcher, Dr. Jordi Tura, is an expert in QIP in many-body systems. The supervisor, Prof. J. I. Cirac, is a world-expert in QIP, TN and quantum computation, head of the Theory division of the Max Planck Institute of Quantum Optics (MPQ) since 2001.
The combined expertise between the fellow and the host is uniquely suited to establish Q-ANNTENNA as a ground-breaking framework for understanding the connections between QIP, ML and TN. The action has a tremendous potential impact onto industry and prospects for patents are likely. In addition, it will contribute to EU’s excellence in QML research, where North America is leading industrial and scientific efforts –by far.
The action will greatly increase the applicant’s mobility within EU, create a large network of collaborators for him and MPQ and shape his future career options, with the long-term goal of becoming an independent scientist and establishing his own research group.
Hypermedia enabled procedures for industrial workflows on a voice driven platform

Various embodiments described herein relate to hypermedia enabled procedures for industrial workflows on a voice driven platform. In this regard, a system compares media data related to a step of a video procedure for an industrial task with a category dictionary to determine a category for the step of the video procedure. The system also links, based on the category for the step of the video procedure, the step of the video procedure with at least a portion of a second video procedure to generate a hypervideo that comprises an industrial sub-task for the industrial task. Furthermore, the system displays the hypervideo via a head-mounted visual display of a wearable device.
Eastern romanian business support network support for innovative smes

ERBSN 4 H2020 is a 4-partner partnership covering Romanian Macroregion 2 (RO2) and which objective is to address the topic of H2020 - Work Programme 2017-2018. Out of the 4 partners, three are technically involved in delivering H2020 innovation services for SMEs, while the coordinator is involved to administratively deliver the project. With this view, ERBSN 4 H2020 operates a viable macroregional network of 9 innovation experts, of which 3 Key Account Managers, all staff of the 3 ERBSN-EEN centres, able to deliver the two innovation services proposed by H2020. The Key account management (KAM) services will be delivered for 3 SMEs expected to benefit of SMEs Instrument under H2020, and support them receiving the most appropriate services which will enhance the probability of a successful exploitation of their financed innovation projects, over the first two SMEs Instrument phases, while posting them for further EEN services not covered financially by H2020, for phase 3. The services to enhance the innovation management capacities of SMEs with significant innovation activities and potential for international growth will be delivered for 47 SMEs, identified under a thorough analysis of the RO2 innovative businesses, and among the SoE RO2 SMEs under the SMEs Instrument. In order to achieve the specific objectives, ERBSN shall build sinergies with the consortium's services under COSME, in order to stimulate innovation and facilitate SMEs access to H2020 innovation services and funding. Special actions have been proposed under 2017-2018 COSME activities.
Quantitative analysis of microorganism composition in a pilot-scale fermentative biohydrogen production system

Abstract Five specific real-time polymerase chain reaction primers targeting the 16S rRNA gene of Clostridium spp., Klebsiella spp., Streptococcus spp., Pseudomonas spp., and Bifidobacterium spp., and two primer sets targeting the hydrogenase genes of hydrogen-producing Clostridium pasteurianum and Clostridium butyricum were designed and tested in the present study to quantify the microorganisms in fermentative biohydrogen production systems. The former primers revealed the composition of all coexisting microorganisms, whereas the latter ones provided information on which clostridia were responsible for the biohydrogen production in various operational conditions. When sucrose was selected as the feeding substrate, the biogas production and hydrogen production rate (HPR) of the system increased as the percentage of Clostridium spp. (especially C. pasteurianum) increased. The cell count of C. pasteurianum increased up to 90% of the total cell population when the system approached its maximum hydrogen production. C. butyricum was identified as the main hydrogen-producing clostridium in the condensed molasses soluble wastewater feeding system, but there was no significant correlation between system HPR and C. butyricum cell count. At the same time, other microorganisms, such as Bifidobacterium spp. and Klebsiella spp., were the predominant ones throughout the whole operation and possibly caused the unsatisfied biohydrogen production. The composition of microorganisms is the principal factor affecting biohydrogen production. Aside from the well-known hydrogen-producing Clostridium spp., several other microorganisms not only coexist but can also significantly affect system performance. The monitoring method established in the present study provides a fast quantification procedure to help operators understand how the system works and therefore quickly respond in operations.
Indam doctoral programme in mathematics and/or applications cofunded by marie sklodowska-curie actions

The Istituto Nazionale di Alta Matematica (acronym: INdAM) is a research institution created by the Italian law, which has already been promoted
two Cofund Programmes funded under FP7-PEOPLE-COFUND. The INdAM-DP-COFUND-2015 Programme plans to set up a new Doctoral
Programme in order to extend the range to incoming early stage researchers who intend obtain a PhD degree in Italy. The programme creates a large network of PhD schools in mathematics and/or applications and of non-academic partners, offering to the fellows a large and free choice of research topics, PhD projects, excellent research teams, transferable skills training, international, intersectoral, and interdisciplinary training. The Programme aims to reinforce the scientific excellence, the international dimension and the scientific attractiveness of Italy, by encouraging incoming excellent early stage researchers in mathematics and/or applications to obtain a PhD in Italy.The Programme consists of two Calls; its duration is 60 months; the total number of fellowship: 20; the total number of fellows-years: 60.
HYDROXY-PHENOXYETHER POLYMER/FIBER COMPOSITES AND FOAMS

Composites and foamed composites comprised of fiber and hydroxy-phenoxyether polymer are effective to provide articles having increased strength, enhanced moisture resistance, gas barrier properties, adhesion, and structural strength. Methods for preparing the composites and foams are disclosed. Materials and articles formed by such methods have utility in several fields and applications, including the packaging industry.
FLEXIBLE SUPERHYDROPHOBIC AND/OR OLEOPHOBIC POLYURETHANE COATINGS

This disclosure deals with novel formulations to create highly durable flexible hydrophobic, superhydrophobic, oleophobic and/or superoleophobic surfaces. The formulations of this invention can be applied by dip, spray and painting processes.
Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

We describe a framework to model visual semantics of liver lesions in CT images in order to predict the visual semantic terms (VST) reported by radiologists in describing these lesions. Computational models of VST are learned from image data using linear combinations of high-order steerable Riesz wavelets and support vector machines (SVM). In a first step, these models are used to predict the presence of each semantic term that describes liver lesions. In a second step, the distances between all VST models are calculated to establish a nonhierarchical computationally-derived ontology of VST containing inter-term synonymy and complementarity. A preliminary evaluation of the proposed framework was carried out using 74 liver lesions annotated with a set of 18 VSTs from the RadLex ontology. A leave-one-patient-out cross-validation resulted in an average area under the ROC curve of 0.853 for predicting the presence of each VST. The proposed framework is expected to foster human-computer synergies for the interpretation of radiological images while using rotation-covariant computational models of VSTs to 1) quantify their local likelihood and 2) explicitly link them with pixel-based image content in the context of a given imaging domain.
Performance Metrics of Wormhole Detection using Path Tracing Algorithm

Objective: Mobile Adhoc Networks contains set of mobile nodes does not have a fixed structure. It is very important to protect the network secure. The main aim of the paper is to protect the network from worm hole attack using path tracing algorithm with the advancement of aodv and compare the performance parameters. Methods: We propose path tracing algorithm for detection of worm hole attack as a extension of aodv protocols the path of the node effectively computes the per hop distance of its neighbor node with per hop distance of the previous node to identify the worm hole attack. NS2 simulator is used to compare the performance parameters of the worm hole attack. Conclusions: Simulated parameters like packet delivery ratio, delay, and packet loss with attacker and without attacker are done and the detection ratio is identified.
Quantum superiority with coherent states

The unique features of quantum mechanics enable communication and computation tasks impossible to achieve by classical means. This opens a tremendous potential for enhancing the power, efficiency and security of everyday interactions in our information-based society. The quest of the demonstration in physical systems of quantum superiority has led to milestone implementations, most notably of the distribution of secret keys with unconditional security or of elementary computations such as the efficient sampling of bosonic distributions. 

In this project, we propose to develop and experimentally demonstrate a framework where quantum resources can be used to outperform their classical counterparts for a much larger range of problems than key distribution or boson sampling, with applications in algorithms, cryptography, communications, scheduling, routing, data mining, process monitoring and control or DNA sequencing. The theoretical basis of our framework is decomposed in three well defined elements-circuits, of increasing complexity, which can individually be used for specific quantum enhanced applications and together lead to the demonstration of the holy grail of quantum information science – quantum superiority for hard computation algorithms. The implementation of all the elements will be based on a photonic experimental platform exploiting a mapping of quantum information protocols involving multiple quantum bits of information to protocols based on coherent states of light in a superposition of optical modes. This is extremely appealing from a practical point of view and will be fully explored, in particular using silicon photonic technologies that allow for scalable devices involving fast switching operations, compact delay lines, and reconfigurable couplers, the main components of our circuits.

Our project sets a highly ambitious target, providing on the way powerful and readily accessible applications of quantum technologies.
METHOD FOR ILLUMINATING AN ITEM OF FURNITURE

The invention relates to a method for illuminating an item of furniture (1) comprising: a furniture carcass (2); a drawer (3) arranged movably thereon, wherein the drawer (3) can be moved between a closed position and an open position, in which the drawer (3) is situated at least partially outside the furniture carcass (2); a lamp (4), which is situated above the drawer (3) such that an interior (5) of the drawer (3) can be illuminated; and a switch device (6), by means of which a change in position of the drawer (3) can be detected and by means of which the lamp (4) can be switched; wherein the method comprises the following method steps: the drawer (3) is moved out of the closed position into the open position; the switch device (6) detects this change in position of the drawer (3); the switch device (6) switches the lamp (4) on or switches the lamp (4) from a first illumination stage to a second illumination stage which is brighter than the first illumination stage; and the lamp (4) illuminates the interior (5) of the drawer (3).
SYSTEMS AND METHODS FOR PLANT GROWING ENVIRONMENT

A system for growing plants includes a water circulation system connecting a plurality of deep water culture tanks in series and/or in parallel through which water is provided to plants housed in the tanks; a nanobubble generator for oxygenating the water; and a water cooling and disinfecting apparatus.
Development of a Recovery Manual for Suicidal Patients with Schizophrenia: Consumer Feedback

A recovery-oriented manual was developed for patients with schizophrenia and suicidality. It included psychoeducational information, vignettes, "workbook" sections and was reviewed by experts in suicidology, recovery, patient education, manual development and psychosocial interventions. The revised version was tested in 22 consumers with schizophrenia and a history of suicidality. Consumer-based focus groups yielded five key themes which were used to further refine the manual. A satisfaction survey indicated that 85% stated the manual was 'somewhat easy', 'easy' or 'very easy to read.' All stated it was 'very useful', 'useful' or 'somewhat useful. Thus, the manual appears to be acceptable and useful.
Visualization of energy and water consumption and GHG emissions: A case study of a Canadian University Campus

Abstract Campuses, communities, and other building clusters are major users of energy and water and thus can have a significant environmental impact. Frequently, their buildings’ resource consumption is metered to various levels of resolution to attempt to track and reduce it. However, the metering and data logging systems are often inconvenient and difficult to access due to use of multiple systems and technologies of varying vintages. This paper proposes several methods to analyze and visualize building-level water, natural gas, and electricity consumption and the upstream environmental impacts: Sankey diagrams and bar charts that normalize metered values by floor area and occupancy. The objective is to improve accessibility of these data to all stakeholders, including building operators, planners, occupants, and utilities. The methods are then applied to a 45-building Canadian university campus and an array of graphical representations of the data is provided. The resulting analysis and visualization reveals significant variation in consumption between buildings regardless of building vintage and function. Furthermore, it is concluded that identifying resource consumption reducing strategies, once inefficient buildings have been identified, would require higher data resolution – both spatial and temporal.
Association between the serotonin transporter triallelic genotype and eating problems is moderated by the experience of childhood trauma in women

This study investigated a potential interaction between the triallelic polymorphism of the serotonin transporter gene (SLC6A4) promoter and the experience of childhood trauma on the number of problem eating behaviors.The study sample was comprised of 439 (64.7% female) Caucasian college students (mean age = 22.49, SD = 6.12). Participants completed questionnaires that assessed eating problems and experience of trauma in childhood (ages 0-12) and donated cheek cells for 5-HTTLPR and rs25531 genotyping.Women carrying a lower expressing allele (i.e., L(G) or S) who were exposed to higher levels of childhood trauma reported significantly higher mean numbers of eating problems (gender × genotype × trauma interaction, p = .006).These results are consistent with findings that the lower expressing alleles of the SLC6A4 promoter are associated with increased sensitivity to the negative impact of childhood stressors on adult behavioral outcomes.
Exoplanet atmospheres as indicators of life: from hot gas giants to earth-like planets

This is a proposal to use a new ground-breaking spectroscopic technique to study the atmospheres of extrasolar planets. Understanding planet atmospheric processes and their evolutionary histories is crucial for unambiguously identifying biomarker gases, and forms the main driver behind the enormous surge in exoplanet atmospheric research. 

I propose to lead a program using the new VLT CRIRES+ instrument, that will focus on the new ground-breaking developments in ground-based high-dispersion spectroscopy, in which my work plays a leading role. We successfully determined the dominant spectroscopically-active species in hot Jupiter atmospheres (e.g. Brogi, Snellen et al. Nature 2012), provided the first evidence for high altitude winds (Snellen et al. Nature 2010), and determined for the first time the spin-rotation rate of a young gas-giant planet (Snellen et al. Nature 2014) – pioneering a technique that combines high-dispersion spectroscopy with high-contrast imaging.

The new CRIRES+ spectrograph at the VLT (2017) will have a revolutionary impact in the field, changing the main focus of current atmospheric research from hot 1000-1500 K gas giants to cooler 400-700 K Neptunes and Super-Earths. With this new instrument, I will 1) make a large inventory of planet spin rates as function of planet mass and age, 2) probe the atmospheres of cool super-Earths above the cloud-deck for the first time, solving for their bulk compositions. 3) determine the vertical and longitudinal atmospheric temperature profiles of hot Jupiters, and obtain a complete inventory of the C and O bearing molecules in their upper atmospheres. 4) I will for the first time probe isotope-ratios in exoplanet atmospheres. This project will be an important stepping stone in developing high-dispersion spectroscopic techniques for studying Earth-like exoplanets with the European Extremely Large Telescope.