SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Metrology excellence academic network for smart grids

MEAN4SG network aims to educate 11 young researchers in the smart grids metrology field by constructing a training network gathering the whole innovation value chain. The main EU actors in the field of smart grids metrology have worked together, under the umbrella of the European Association of National Metrology Institutes (EURAMET), and relying on the support of the International Electrotechnical Commission (IEC), in order to design a training program coping with the principal R&D challenges related to metrology for smart grids while tackling the shortage of highly-skilled professionals on this area that has been foreseen by the European Commission, the electricity grids industrial sector and the academia.
The overall MEAN4SG research programme tackles the main research challenges in the smart grids metrology field identified by the European R&D community: (1) power quality analysis, (2) smart grids modelling and management, (3) advanced monitoring through Phasor Measurement Units applications and (4) smart cable diagnosis. These main goals have been divided into eleven specific objectives, which will be assigned to the fellows, for them to focus their R&D project, PhD Thesis and professional career.
The established training plan answers the challenges identified by the SET Plan Education Roadmap. Personal Development Career Plans (PCDP) will be tuned up for every fellow, being their accomplishment controlled by a Personal Supervisory Team (PST), composed by a main supervisor from the beneficiary and two mentors from the institutions hosting the two fellows’ secondments. The training plan includes intra-network activities, like Specific Courses lectured by the project partners, as well as network-wide initiatives, like two secondments for every fellow, PhD Seminars organized in cooperation with EURAMET and Summer Schools. Internal agreements have been reached among the beneficiaries to ensure the access for all the fellows to the obtention of a PhD degree.
ASSAY FOR SARS-COV-2 INFECTION OF VULNERABLE HUMAN CELLS

Provided herein are methods and compositions useful for identifying compounds that can inhibit SARS-CoV-2 infection or the effects thereof, especially in cardiomyocytes (CMs), which are highly infectible by SARS-CoV-2 corona viruses.
Hybrid Model Incorporating Real Options with Process Centric and System Dynamics Modeling to Assess Value of Investments in Alternative Dispute Resolution Techniques

Project-specific dispute resolution ladders (DRLs) are typically implemented in construction projects to resolve issues arising between the project participants. The DRL typically consists of single or multiple alternative dispute resolution (ADR) techniques to address construction issues at the three levels of escalation: conflicts; disputes; and claims. However, a DRL requires significant investments to cover the direct costs incurred in-house by the project participants or, externally, if construction specialists and lawyers are recruited to assist in the resolution. Thus, the benefits of the DRL implementation in a construction project must outweigh its costs for the implementation to be worthwhile. This paper presents a methodology to study the effect of different resolution strategies on the value of the investment in a DRL using option/real option theories from financial engineering, process centric modeling, and system dynamics methodology. Of particular interest in this paper is the integration o...
Reen: virtual pacesetter for runner’s performance improvement.

AUREEL is a technological company created by professionals from different fields. We brought our expertise to this company in order to implement advanced training systems for different sports, allowing professional and amateur athletes to improve their performance by achieving a better control of their training activities.
Running is nowadays the most extended and growing sport activity, with millions of runners training in parks, roads, etc. Runners use to have specific objectives in marathon, half-marathon, 10 km races, etc. Achieving these objectives implies training routines and maintaining certain pace rhythms, what is not easy and causes discomfort and training performance losses.
REEN project is intended to assist runners in these training activities, advising them about their rhythm and speed with a projected lighting system on the ground ahead of the runners (see image), without need to look at screens or devices. Projected information is sent including simple messages for runners to accelerate or decelerate, change pace, etc. REEN is a virtual rabbit, setting the runners’ pace according to previous commands.
Thermal engineering of steel alloy systems

Comprehensive Materials Processing students and professionals with a one-stop resource consolidating and enhancing the literature of the materials processing and manufacturing universe. It provides authoritative analysis of all processes, technologies, and techniques for converting industrial materials from a raw state into finished parts or products. Assisting scientists and engineers in the selection, design, and use of materials, whether in the lab or in industry, it matches the adaptive complexity of emergent materials and processing technologies. Extensive traditional article-level academic discussion of core theories and applications is supplemented by applied case studies and advanced multimedia features. Coverage encompasses the general categories of solidification, powder, deposition, and deformation processing, and includes discussion on plant and tool design, analysis and characterization of processing techniques, high-temperatures studies, and the influence of process scale on component characteristics and behavior. Authored and reviewed by world-class academic and industrial specialists in each subject fieldPractical tools such as integrated case studies, user-defined process schemata, and multimedia modeling and functionalityMaximizes research efficiency by collating the most important and established information in one place with integrated applets linking to relevant outside sources
Method of making carbon fibers and uses thereof

A method of making a plurality of carbon fibers which comprises the step of heat-treating a substrate on which a catalyst is arranged under circumstance including carbon, wherein the catalyst contains Pd and at least one element selected in the group consisting of Fe, Co, Ni, Y, Rh, Pt, La, Ce, Pr, Nd, Gd, Tb, Dy, Ho, Er and Lu, and 20 atm% (atomic percentage) or more and 80 atm% (atomic percentage) or lower of the selected at least one element is contained to Pd.
DIGITAL TO ANALOGUE CONVERTING DEVICE

The invention relates to a digital to analogue converting device comprising a converting step establishing an upper (UL) and a lower voltage level (LL) in dependency of at least one digital input signal (DIS), said upper (UL) and lower voltage levels (LL) being time-modulated in dependency of at least said digital input signal (DIS) into a time-modulated output signal (TMOS), said time-modulated output signal having a period (T), said time-modulated output signal being fed through an output stage comprising at least one integrator (I), said integrator (I) being dimensioned in such a way that said time-modulated output signal is filtered and converted into an analogue representation of said digital input signal (DIS). According to the invention, a high-bit low-cost D/A-converter having small non-linearities has been obtained.
Quantitative microscopy approach for shape-based erythrocytes characterization in anaemia

Anaemia is one of the most common diseases in the world population. Primarily anaemia is identified based on haemoglobin level; and then microscopically examination of peripheral blood smear is required for characterizing and confirmation of anaemic stages. In conventional approach, experts visually characterize abnormality present in the erythrocytes under light microscope, and this evaluation process is subjective in nature and error prone. In this study, we have proposed a methodology using machine learning techniques for characterizing erythrocytes in anaemia associated with anaemia using microscopic images of peripheral blood smears. First, peripheral blood smear images are preprocessed based on grey world assumption technique and geometric mean filter for reducing unevenness of background illumination and noise reduction. Then erythrocyte cells are segmented using marker-controlled watershed segmentation technique. The erythrocytes in anaemia, such as, tear drop, echinocyte, acanthocyte, elliptocyte, sickle cells and normal erythrocytes cells have been characterized and classified based on their morphological changes. Optimal subset of features, ranked by information gain measure provides highest classification performance using logistic regression classifier in comparison with other standard classifiers.
Effective connectivity of the multiplication network: A functional MRI and multivariate granger causality mapping study

Developmental neuropsychology and functional neuroimaging evidence indicates that simple and complex mental calculation is subserved by a fronto-parietal network. However, the effective connectivity (connection direction and strength) among regions within the fronto-parietal network is still unexplored. Combining event-related fMRI and multivariate Granger Causality Mapping (GCM), we administered a multiplication verification task to healthy participants asking them to solve single and double-digit multiplications. The goals of our study were first, to identify the effective connectivity of the multiplication network, and second, to compare the effective connectivity patterns between a low and a high arithmetical competence (AC) group. The manipulation of multiplication difficulty revealed a fronto-parietal network encompassing bilateral intraparietal sulcus (IPS), left pre-supplementary motor area (PreSMA), left precentral gyrus (PreCG), and right dorsolateral prefrontal cortex (DLPFC). The network was driven by an intraparietal IPS-IPS circuit hosting a representation of numerical quantity intertwined with a fronto-parietal DLPFC-IPS circuit engaged in temporary storage and updating of arithmetic operations. Both circuits received additional inputs from the PreCG and PreSMA playing more of a supportive role in mental calculation. The high AC group compared to the low AC group displayed a greater activation in the right IPS and based its calculation more on a feedback driven intraparietal IPS-IPS circuit, whereas the low competence group more on a feedback driven fronto-parietal DLPFC-IPS circuit. This study provides first evidence that multivariate GCM is a sensitive approach to investigate effective connectivity of mental processes involved in mental calculation and to compare group level performances for different populations.
Supporting rail.

The invention relates to a supporting rail having an attachment limb and attachment flanges, which are offset and aligned parallel thereto, and which are provided over the complete length of their outer edges with an even toothed system on which there can be placed electrical apparatuses provided with an installation foot, the apparatuses or parts of the same gripping behind the attachment flanges and being fixed thereto. The toothed system extends with its depth directed at right angles to the longitudinal axis of the supporting rail preferably over only a part of the width of the attachment flange. Both attachment flanges are provided with identical toothed systems, facing away from one another, the tooth gaps and teeth of the two toothed systems in each case being allocated to one another or designed such that the tooth gaps of the one toothed system are in each case allocated to the teeth of the other toothed system, and vice versa. <IMAGE>
Harnessing multipath propagation in wireless networks: a meta-surface transformation of wireless networks into smart reconfigurable radio environments

The long-term vision of Pathfinder is to kick-start a wireless 2.0 paradigm where wireless channels will adapt to the operation of cellular networks, allowing networks to overcome the inherent limitations imposed by wireless channels hitherto. In this course, Pathfinder builds upon the advancements in the area of electromagnetic meta-materials that can control and manipulate radio waves. This technology allows for designing and fabricating software reconfigurable intelligent meta-surfaces (RISs) that dynamically optimize the wireless channels in response to the dynamic behavior of radio waves, showing an unprecedented potential to control waves from within the wireless channels.
This control allows for radio waves to circumvent physical obstacles, improving network coverage, while the phase alignment of RIS constituent elements can maximize the power at the receiver through constructive interference. This, can increase data-rates and reduce the transmit power. Furthermore, sensors and IoT devices can “recycle” and backscatter the ambient radio waves through RISs instead of generating their own, realizing the objective of smart, interconnected cities by employing passive elements that neither generate radio waves nor consume power to generate them.

In this setup, the overarching objective of Pathfinder is to set the theoretical and algorithmic foundations of RIS enabled wireless 2.0 networks by deriving: (1) physics-inspired models for the RIS/radio wave interaction. (2) communication & information-theoretic models for RISs networks. (3) models for large-scale analysis of RIS networks. (4) algorithms for the design and optimization of RIS operation. (5) measurements for the experimental verification of the developed models and algorithms. The realization of these objectives can indeed transform wireless networks, driving the economic and intellectual growth of all European society, creating new jobs, increasing revenues and simplifying our lives.
P-1229 - The effect of premorbid function on symptoms severity in first - episode of schizophrenia: an egyptian study

Introduction Psychiatric research focuses on development of psychosis and first- episode schizophrenia, early detection and Premorbid adjustment are of interest because it may reduce the heterogeneity of the disorder and may have predictive value. Aim To study the Premorbid functioning in first episode schizophrenic patients and its relation with symptoms severity, cognitive and executive function as well as it s predictive measure for short term degree of improvement. Subjects and methods Fifty patients diagnosed according to ICD -10 criteria as first episode schizophrenia were conducted to Positive and Negative Syndrome Scale (PANAS), Modified Premorbid Adjustment scale (MPAS), Social Readjustment Rating to evaluate severity and pattern of the symptoms and Premorbid function as well as psychometric assessment including IQ, Wisconsin Card Sorting test (WCST) and Eysenck personality Questioner (EPQ). Results Seventy percent of patients showed a disturbance in Premorbid function 38 % had deteriorating Premorbid functioning while 32% have stable poor Premorbid function The deterioration of Premorbid function was statistically correlated with negative symptoms, thought disturbance, and anergia as well as poor total score of WCST and low IQ. Impairment of executive functions were related to severe paranoid symptom and aggression. Conclusion Our study emphasized the importance of measuring Premorbid adjustment to people at risk for schizophrenia in order to detect more precisely the earliest symptoms for early prevention of schizophrenic disorder.
Mathematical aspects of three-dimensional water waves with vorticity

The goal of this project is to develop a mathematical theory for steady three-dimensional water waves with vorticity. The mathematical model consists of the incompressible Euler equations with a free surface, and vorticity is important for modelling the interaction of surface waves with non-uniform currents. In the two-dimensional case, there has been a lot of progress on water waves with vorticity in the last decade. This progress has mainly been based on the stream function formulation, in which the problem is reformulated as a nonlinear elliptic free boundary problem. An analogue of this formulation is not available in three dimensions, and the theory has therefore so far been restricted to irrotational flow. In this project we seek to go beyond this restriction using two different approaches. In the first approach we will adapt methods which have been used to construct three-dimensional ideal flows with vorticity in domains with a fixed boundary to the free boundary context (for example Beltrami flows). In the second approach we will develop methods which are new even in the case of a fixed boundary, by performing a detailed study of the structure of the equations close to a given shear flow using ideas from infinite-dimensional bifurcation theory. This involves handling infinitely many resonances.
Oxygen isotopes from conodont apatite of the midcontinent, US: Implications for Late Ordovician climate evolution

Abstract The major glaciation at the end of the Ordovician is associated with the 2nd largest mass extinction event of the Phanerozoic. Growth of Late Ordovician ice sheets requires a dramatic cooling from the ‘greenhouse’ conditions that prevailed for most of the Ordovician, but when and how fast this cooling occurred are controversial issues. The controversy is due in large part to a lack of good geochemical constraints on the temperature history of the Katian (453–445.2 Ma). To address this uncertainty, we measured phosphate δ18O values from 3 conodont species collected from sections in the midcontinent region of the United States that span an ~ 5.7 m.yr. long interval covering most of the Katian. Results reveal a statistically significant offset in δ18O values between some taxa and show up to 2‰ differences among samples. However, there are no apparent long-term trends within or between sections; rather, values fluctuate around a δ18O mean of ~ 19‰ VSMOW. Our study provides the longest, relatively high resolution, species specific conodont record generated for this interval, and we found no evidence supporting progressive cooling during the Katian.
Creating and Testing a Deaf-Friendly, Stop-Smoking Web Site Intervention

Deaf adults' access to smoking cessation programs is limited due to cultural, linguistic, and geographic barriers. Web-based stop-smoking interventions have demonstrated cessation rates comparable to other interventions. The Internet is widely used by Deaf adults, but difficulties with online English text remain. We found no published accounts of Internet interventions promoting smoking cessation among Deaf individuals. The purpose of our project was to create and pilot test a prototype interactive Web site that provides users with information in American Sign Language related to smoking cessation. We utilized web cams to create real-time "video chat rooms" for virtual support groups and had an "ask the experts" feature. Deaf community members participated in all phases of development and testing, and a Deaf former smoker served as the moderator for the site. Evaluations were positive, with emphasis on interactive and visual aspects of the site.
The gap-startle paradigm to assess auditory temporal processing: Bridging animal and human research

The gap-prepulse inhibition of the acoustic startle (GPIAS) paradigm is the primary test used in animal research to identify gap detection thresholds and impairment. When a silent gap is presented shortly before a loud startling stimulus, the startle reflex is inhibited and the extent of inhibition is assumed to reflect detection. Here, we applied the same paradigm in humans. One hundred and fifty-seven normal-hearing participants were tested using one of five gap durations (5, 25, 50, 100, 200 ms) in one of the following two paradigms-gap-embedded in or gap-following-the continuous background noise. The duration-inhibition relationship was observable for both conditions but followed different patterns. In the gap-embedded paradigm, GPIAS increased significantly with gap duration up to 50 ms and then more slowly up to 200 ms (trend only). In contrast, in the gap-following paradigm, significant inhibition-different from 0--was observable only at gap durations from 50 to 200 ms. The finding that different patterns are found depending on gap position within the background noise is compatible with distinct mechanisms underlying each of the two paradigms.
Ultrafast all-optical spatio-temporal electron modulators: opening new frontiers in electron microscopy

Addressing the grand-challenges that the world is facing nowadays in connection with ‘energy’, ‘information’ and ‘health’ requires the development of unconventional methods for unprecedented visualization of matter. SMART-electron aims at developing an innovative technological platform for designing, realizing and operating all-optical rapidly-programmable phase masks for electrons. By introducing a new paradigm where properly synthesized ultrafast electromagnetic fields will be used for engineering the phase space of a free-electron wave function, we will be able to achieve unprecedented space/time/energy/momentum shaping of electron matter waves, surpassing conventional passive monolithic schemes and revolutionizing the way materials are investigated in electron microscopy. Such unique high-speed, flexible and precise full-phase multidimensional control, will enable novel advanced imaging approaches in electron microscopy with enhanced features, such as higher image-resolution, lower electron dose, faster acquisition rate, higher signal-to-noise ratio, and three-dimensional image reconstruction, together with higher temporal resolution and high energy-momentum sensitivity. In SMART-electron, we will make such potential a reality by implementing for the first time three beyond-the-state-of-the-art imaging techniques enabled by our photonic-based electron modulators, namely: (1) Ramsey-type Holography, (2) Electron Single-Pixel Imaging, and (3) Quantum Cathodoluminescence. Such new approaches will lead to unprecedented visualization of many-body states in quantum materials, real-time electrochemical reactions, and spatio-temporal localization of biomimetic nanoparticles in cells for drug delivery. By surpassing the current paradigms in terms of electron manipulation, the project has the potential to drive electron microscopy into a new and exciting age where scientists will benefit from new tools with unprecedented performances that were unimaginable until now.
Synthesis and hydrogen adsorption properties of internally polarized 2,6-azulenedicarboxylate based metal–organic frameworks

To improve the binding energy of hydrogen, incorporation of internally polarized organic units into metal–organic frameworks (MOFs) should be a promising strategy. In this study, two novel MOFs composed of internally polarized 2,6-azulenedicarboxylate (2,6-azd), termed MOF-649 [Zn2(2,6-azd)2(dabco), where dabco = 1,4-diazabicyclo[2.2.2]octane] and MOF-650 [Zn4O(2,6-azd)3], have been synthesized, and their crystal structures were determined by single-crystal X-ray diffraction analyses. Both materials displayed permanent microporosity, and the Brunauer–Emmett–Teller (BET) surface areas of MOF-649 and MOF-650 are estimated to be 910 and 2630 m2 g−1, respectively. The H2 adsorption measurements showed that MOF-650 adsorbs 14.8 mg g−1 of hydrogen at 77 K and 1 bar. The polarization effect of the azulene unit in the framework is supported by high initial isosteric heat of adsorption of 6.8 kJ mol−1 for MOF-650. A detailed computational analysis using density functional theory was carried out in order to investigate the structure and electronic properties of MOF-650 and subsequently to understand its site-specific interactions with hydrogen.