SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Innovative model of a simultaneous translation service, consisting in a cloud-based software platform that delivers audio translations to venue audience through automated managed wi-fi networks.

A new, disruptive, more economic and effective model of simultaneous translation system for the international events,
consisting in a cloud based software platform that handles all operations through Internet, with built-in configuration of the
related Wi-Fi networks and the possibility to use remotely connected professional interpreters chosen from a vast accredited
community. The same system can also be integrated within other popular web-conferencing platforms, enabling
multilanguage
web meetings.
ST WI-FI facilitates access and participation to live and on-line meetings & events to multilanguage audiences, removing
geographic and language barriers, contributing to widespread dissemination of their contents.
Existing simultaneous translation systems are based upon specific, dedicated IR (infrared) equipment, which need to be
rented and installed at each event at relevant costs. ST WI-FI handles their same functionalities and workflow but uses
Internet and Wi-Fi instead of IR as means of communication. Event participants listen to translations through their own
mobile devices, not anymore considered as a limiting factor due to their widespread adoption.
For all live-events, ST WI-FI dramatically reduces all rental, setup and management costs connected to legacy IR systems
and enables further functionalities and options otherwise available through other different dedicated systems. For webbased
meetings and conferences, it provides multi-language interpreting facilities currently unavailable within existing
platforms.
ST WI-FI will be proposed to the market as SaaS, in different subscription packages. Customers will use their own
interpreters or engage them from the same platform at convenient pay-per-hour fees.
ST WI-FI has been awarded with the Seal of Excellence in its precedent proposals to Horizon 2020 SME2 (evaluation result:
12,91 in June 2016, 12,68 in October 2016 and 13,25 in April 2017.
Downhole progressive pressurization actuated tool and method of using the same

A method of servicing a subterranean formation comprising positioning a wellbore servicing tool comprising an axial flowbore within a wellbore, making a first application of pressure to the axial flowbore of the wellbore servicing tool; wherein the pressure within the wellbore servicing tool is at least a first upper threshold during the first application of pressure, allowing the pressure within the axial flowbore following the first application of pressure to fall below a first lower threshold, making a second application of pressure to the axial flowbore of the wellbore servicing tool, wherein the pressure within the wellbore servicing tool is at least a second upper threshold during the second application of pressure, allowing a second subsiding of pressure within the axial flowbore following the second application of pressure to fall a second lower threshold, and communicating a fluid to the wellbore, the subterranean formation, or both via one or more ports of the wellbore servicing tool.
Exploring the potential of Operator 4.0 interface and monitoring

Abstract In the context of smart factories, where intelligent machines share data and support enhanced functionalities at a factory level, workers are still seen as spectators rather than active players (Hermann, Pentek, & Otto, 2017). Instead, Industry 4.0 represents a great opportunity for workers to become part of the intelligent system; on one hand, operators can generate data to program machines and optimize the process flows, on the other hand they can receive useful information to support their work and cooperate with smart systems (Romero et al., 2016). Diversely from machines, humans are naturally smart, flexible and intelligent, so putting the operators in the digital loop can bring more powerful and efficient factories. The paper aims at defining a theoretical human-centered framework for Operator 4.0, and testing its feasibility and impact on companies, thanks to the integration of human factors in 4.0 computerized industrial contexts. The proposed framework is based on data collection about the workers’ performance, actions and reactions, with the final objective to improve the overall factory performance and organization. Data are used to assess the workers’ ergonomics performance and perceived comfort and to build a proper knowledge about the human asset of the factory, to be integrated with the knowledge derived from machine data collection. The framework is cased on the adoption of an Operator 4.0 monitoring system, which consists of an eye tracking and a wearable biosensor, combined to a proper protocol analysis to interpret data and create a solid knowledge. Virtual prototypes are used to make the workers interact with the digital factory to conveniently simulate the human–machine interaction (HMI) in order to avoid bottlenecks at the shop floor, to optimize the workflows, and to improve the workstations’ design and layout. The study represents a step toward the design of human-centred industrial systems, including human factors in the digital twin. The research approach has been successfully tested on an industrial case study, developed in collaboration with CNH Industrial, for the re-design of assembly workstations.
Wire-in-channel superconductor

In a method of manufacturing a copper clad aluminum channel superconductive conductor, an electrically conductive wire comprising a metal or alloy core is formed with a longitudinally extending groove in a surface thereof. A wire made of a material that exhibits superconducting properties within a defined temperature range is soldered into the groove.
Determinants of Electricity Demand in Nonmetallic Mineral Products Industry: Evidence from a Comparative Study of Japan and China

Electricity intensity is an important indicator for measuring production efficiency. A comparative study could offer a new perspective on investigating determinants of electricity demand. The Japanese non-metallic mineral products industry is chosen as the object for comparison considering its representative position in production efficiency. By adopting the cointegration model, this paper examines influencing factors of electricity demand in Japanese and Chinese non-metallic mineral products industries under the same framework. Results indicate that although economic growth and industrial development stages are different between the two countries, major factors that affect the sectoral energy consumption are the same. Specifically, economic growth and industrial activity contribute to the growth of sectoral electricity consumption, while R&D intensity, per capita productivity and electricity price are contributors to the decline of sectoral electricity consumption. Finally, in order to further investigate the development trend of sectoral electricity demand, future electricity consumption and conservation potential are predicted under different scenarios. Electricity demand of the Chinese non-metallic mineral products industry is predicted to be 680.53 TWh (terawatt-hours) in 2020 and the sectoral electricity conservation potentials are estimated to be 118.26 TWh and 216.25 TWh under the moderate and advanced electricity-saving scenarios, respectively.
La ética profesional como religación social: Hacia una visión compleja para el estudio de la ética en las profesiones

Based on a synthetic description of the “state of the art” in the field of “Professional ethics” research and the preliminary results of the “interinstitutional project on professional ethics” that involves 15 universities around the country, this article explores the notion of “social religation” developed by Edgar Morin (2005) as a key term that can help the understanding of “professional ethics” in a new, complex, holistic, dialogical and recursive perspective linked to the other “human religation duties“ and always inserted in tensions and contradictions that all the professionals live in their decision making. From this new complex perspective, the article assumes the necessity to transcend the notion of “professional values” as a guide concept in research about “professional ethics” to make new research based on the moral decision making of professionals in a world characterized by the “curl”: crisis-change-globalization.
The Effect of Depression on Serum VEGF Level in Alzheimer’s Disease

Objective . Growing evidence suggests that angiogenesis might represent a new pathogenic mechanism involved in the progression of Alzheimer’s disease (AD). Among angiogenic cytokines, vascular endothelial growth factor (VEGF) levels in AD patients have been evaluated, but the results are controversial among studies. We investigated serum levels of VEGF in AD patients with depression, AD patients without depression, and the controls, respectively. The aim of this study is to elucidate the relationship between VEGF, depression, and cognitive impairment in AD. Methods . The CDR (Clinical Dementia Rating), MMSE-KC (the Mini-Mental Status Examination-Korean version), and SGDS-K (the Korean version of the Geriatric Depression Scale-Short Form) were measured in the subjects. Serum VEGF levels were measured in 24 AD patients with depression, 25 AD patients without depression, and 26 controls, using an enzyme-linked immunosorbent assay kit. Results . Serum VEGF levels in AD patients with depression were significantly higher than AD patients without depression or the control. A correlation was observed between VEGF and scores on SGDS-K, but no correlation was detected between VEGF and MMSE-KC scores. Conclusion . Serum VEGF levels in AD patients with depression were higher than those without depression. Depression might be associated with changes in serum levels of VEGF in AD patients.
Impact growth: european superstars for future internet

IMPACT GROWTH will fund 4 European Superstar Startups (unicorn potential) confirmed by top VC investors and global corporates of 4 smart verticals: cities, digital content, agrifood and factories
48 companies exploiting Future Internet research results will be discovered out of a deal flow of 5.000 startups through 4 OpenCalls. They will join an acceleration programme and will start a crowdfunding track.  A “live due diligence” from the acceleration and the market response through the crowd will select the best  companies. 4 out of the 48 startups will succeed in reaching the 1.5 million euros crowd funded investment led by the VCs and platforms in the consortium leveraging the 6 million euros of public funding with 6 additional million euros of private investment.
The IMPACT GROWTH consortium includes:
Mobile World Congress as the reference digital mobile event in the planet; 4 corporates including Danone, Ferrovial, NTT DOCOMO BuonGiorno and MADE (integrates LEGO and Vestas among others); FIWARE Foundation to guarantee the proper exploitation of research results aligning them with other FIWARE initiatives; Accelerace and Kibo Ventures as top VCs; ISDI as leading FIWARE accelerator; FundingBox as leading European startups funding platform; INVESDOR as first global crowdfunded platform with MiFID license and ISDI Mexico that will reinforce EC objectives of globalizing the Future Internet efforts via Mexico and as a pilot on how to engage with Plug & Play and Tel Aviv Go Global  joining the project via LoI; PARP, the agency for startups in Poland, will support the consortium via LoI to pilot the adoption of best practices for ESIF purposes under Smart Specialization Strategies for regions.
IMPACT GROWTH will help demonstrate that public funded research results with a “continuity”  approach (continued support from seed to initial series round) can help top startups become European Superstars and can turn the EU into the EU of  ""entrepreneurial states"".
Science Requirements and Detector Concepts for the Electron-Ion Collider

This report describes the physics case, the resulting detector requirements, and the evolving detector concepts for the experimental program at the Electron-Ion Collider (EIC). The EIC will be a powerful new high-luminosity facility in the United States with the capability to collide high-energy electron beams with high-energy proton and ion beams, providing access to those regions in the nucleon and nuclei where their structure is dominated by gluons. Moreover, polarized beams in the EIC will give unprecedented access to the spatial and spin structure of the proton, neutron, and light ions. The studies leading to this document were commissioned and organized by the EIC User Group with the objective of advancing the state and detail of the physics program and developing detector concepts that meet the emerging requirements in preparation for the realization of the EIC. The effort aims to provide the basis for further development of concepts for experimental equipment best suited for the science needs, including the importance of two complementary detectors and interaction regions. This report consists of three volumes. Volume I is an executive summary of our findings and developed concepts. In Volume II we describe studies of a wide range of physics measurements and the emerging requirements on detector acceptance and performance. Volume III discusses general-purpose detector concepts and the underlying technologies to meet the physics requirements. These considerations will form the basis for a world-class experimental program that aims to increase our understanding of the fundamental structure of all visible matter
Automated super-resolution polarimetric nonlinear microscope 'polarnon'

The analysis of materials is a key requirement for device quality control in medical, electronic and photonic industry. Currently, fluorescence imaging, electron microscopy and photoluminescence are typical tools for quality control in research and industry. However, they suffer from several limitations: complex samples preparation, special environments, destructive and time-consuming measurements. The development of new materials and components needs innovative approaches for fast and non-destructive testing (NDT). We propose to use nonlinear optical responses that are strongly dependent on material properties like crystal structure, defects and roughness for NDT. Despite the high potential of nonlinear optics in material sciences, the existing solutions are not convenient in terms of equipment, measurements methods, sample preparation and human resources costs.
We propose the implementation and testing of a fully automated polarimetric nonlinear microscope ‘PolarNon’ as a hardware and software solution for NDT and quality control of materials or optoelectronic components in the semiconductor industry (Market segment I), and metallic or ceramic alloys in the aerospace industry (Market segment II). The PolarNon system overcomes the limitations of current methods: it does not require special sample preparation or measurement conditions, like low temperatures, vacuum or ultrathin substrates, and it can characterize materials already incorporated in a device. The PolarNon includes a method of per-pixel analysis of optical images to reconstruct the material crystalline properties down to the pixel resolution. We already successfully applied this approach to several materials for predicting samples inner structure. This project allows us to build an industrial prototype for future commercialization and secure the invention to create an engineering start-up focused on the development of nonlinear optical microscopy tools for material analysis.
Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets

Mining high utility item sets from transactional databases is an important data mining task, which refers to the discovery of item sets with high utilities (e.g. high profits). Although several studies have been carried out, current methods may present too many high utility item sets for users, which degrades the performance of the mining task in terms of execution and memory efficiency. To achieve high efficiency for the mining task and provide a concise mining result to users, we propose a novel framework in this paper for mining closed+ high utility item sets, which serves as a compact and loss less representation of high utility item sets. We present an efficient algorithm called CHUD (Closed+ High Utility item set Discovery) for mining closed+ high utility item sets. Further, a method called DAHU (Derive All High Utility item sets) is proposed to recover all high utility item sets from the set of closed+ high utility item sets without accessing the original database. Results of experiments on real and synthetic datasets show that CHUD and DAHU are very efficient with a massive reduction (up to 800 times in our experiments) in the number of high utility item sets. In addition, when all high utility item sets are recovered by DAHU, the approach combining CHUD and DAHU also outperforms the state-of-the-art algorithms in mining high utility item sets.
Rescuing cognitive deficits in neurodevelopmental disorders by gene editing in brain development: the case of down syndrome

Neurodevelopmental disorders (ND) are chronic psychiatric conditions with different etiologies, but most share a strong genetic component, defective brain development, and cognitive impairment. Currently, treatment options are very limited, and early educational intervention is the cornerstone for the management of cognitive impairment in most ND, indicating the positive effect of early actions during brain development. Among ND, Down syndrome (DS) is caused by the presence of an extra chromosome 21, and it represents the leading cause of genetically-defined intellectual disability. Different pharmacological treatments targeting one of the many pathways downstream of the triplicated genes have been shown to rescue cognitive impairment in DS animal models. Nevertheless, most of these preclinical studies have been performed postnatally and often in adults, possibly because of concerns of unwanted drug side effects that may have long-lasting noxious sequelae on a developing brain at embryonic stages. On the other hand, viral (but also non-viral) gene therapy approaches in animal models of ND have been mostly neglected because of technical and ethical issues, when considered in the light of future translational applications. Yet, DS is mostly diagnosed prenatally, when many of its brain developmental abnormalities originate. Here, we will investigate whether in utero manipulation of specific and possibly converging gene networks in neuronal progenitors of DS mice by CRISPR-Cas9 gene-editing technology, may recover brain development and cognitive deficits later in life. Specifically targeting neuronal progenitors will allow us to act at early stages of brain development, while avoiding the involvement of genetic editing of germline cells and all related ethical issues. In parallel, we will also develop safer (viral-free) technological approaches for genetic manipulations in utero to minimize technical issues in the view of potential future translational applications.
Geologic Fracture Mechanics

This lively introduction to geologic fracture mechanics provides a consistent treatment of all common geologic structural discontinuities. It explores the formation, growth and interpretation of fractures and deformation bands, from theoretical, field and lab-based perspectives, bridging the gap between a general textbook treatment and the more advanced research literature. It allows the reader to acquire basic tools to interpret discontinuity origins, geometries, patterns and implications using many of the leading and contemporary concepts known to specialists in the field. Problem sets are provided at the end of each chapter, and worked examples are included within each chapter to illustrate topics and enable self-study. With all common geologic structures including joints, hydrofractures, faults, stylolites and deformation bands being discussed from a fresh perspective, it will be a useful reference for advanced students, researchers and industry practitioners interested in structural geology, neotectonics, rock mechanics, planetary geology, and reservoir geomechanics.
A smart hyperspectral system for early, non-invasive diagnosis of retinal disease

The future of retinal diagnostics relies on data-backed smart devices that can see beyond the human eye. With a rising incidence of eye-related diseases further aggravated by the diabetes pandemic, early diagnosis and treatment could prevent up to 98% of sight loss resulting from diabetes. Advances in retinal imaging are in fact fundamental to our understanding and treatment of ocular diseases. XpectralTEK is a European startup focused on the development of imaging diagnostics that aim to improve the visualisation of objects, nature and the human body. By leveraging our expertise in spectroscopy, imaging and computer vision we developed a new hyperspectral fundus camera, XpeFundus. Our camera is capable to perform in-vivo retinal spectroscopy without excessive irradiation making the extreme light intensities and invasive diagnostic methods completely redundant and radically improving the patient experience. Through 3x improved visual mapping of eye tissue alterations, the doctor makes an earlier diagnosis of retinal pathology which leads to earlier prognosis and treatment. Backed by an AI-powered visualisation software and VR, our camera is a complete diagnostic tool that empowers ophthalmologists towards the rapid and non-invasive clinical evaluation of retinal diseases but can also prove a valuable tool for laser treatment, future doctor education and medical research.
With the Global Fundus Cameras Market poised to reach a value of $743.3 million by 2025, we are confident that XpeFundus is coming to the market at the right time. Due to the increasing prevalence of eye disorders but also the stagnated number of new ophthalmologists entering the field, advances in retinal diagnostics are a global market high priority. We have already successfully commercialised our patented prototype for its application in cultural heritage and agriculture and we are confident that our business and medical background will be strong assets to bring XpeFundus to the medical market.
SYSTEM FOR PREDICTIVELY COMPARING CLINICAL PRACTICE OPTIONS OF A MEDICAL FACILITY

A predictive analysis system (100) allows users to compare outcomes of alternative practice options. The system (100) enables users to compare outcomes for a particular practice environment. The system (100) generally includes an input module (102) for receiving queries entered via client devices (101), a processing platform (103) that receives information from various sources (106), and an output module (104). The processing platform (103) receives the query (103), accesses the sources (106) of information, and provides output information (104) responsive to the query. The sources (106) may include facility specific information, such as information regarding patient populations, statistical information, such as information from peer-reviewed studies, and regulatory information. Output module (104) provides a comparative and predictive analysis report of cost, volume of procedures, outcomes, such as mortality, morbidity, length of stay, and readmissions for use of an alternative technology, device or procedure compared to the current standard of practice.