SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Tibiofemoral Contact Forces in the Anterior Cruciate Ligament–Reconstructed Knee

To investigate differences in anterior cruciate ligament-reconstructed (ACLR) and healthy individuals in terms of the magnitude of the tibiofemoral contact forces, as well as the relative muscle and external load contributions to those contact forces, during walking, running, and sidestepping gait tasks.A computational EMG-driven neuromusculoskeletal model was used to estimate the muscle and tibiofemoral contact forces in those with single-bundle combined semitendinosus and gracilis tendon autograft ACLR (n = 104, 29.7 ± 6.5 yr, 78.1 ± 14.4 kg) and healthy controls (n = 60, 27.5 ± 5.4 yr, 67.8 ± 14.0 kg) during walking (1.4 ± 0.2 m·s), running (4.5 ± 0.5 m·s) and sidestepping (3.7 ± 0.6 m·s). Within the computational model, the semitendinosus of ACLR participants was adjusted to account for literature reported strength deficits and morphological changes subsequent to autograft harvesting.ACLR had smaller maximum total and medial tibiofemoral contact forces (~80% of control values, scaled to bodyweight) during the different gait tasks. Compared with controls, ACLR were found to have a smaller maximum knee flexion moment, which explained the smaller tibiofemoral contact forces. Similarly, compared with controls, ACLR had both a smaller maximum knee flexion angle and knee flexion excursion during running and sidestepping, which may have concentrated the articular contact forces to smaller areas within the tibiofemoral joint. Mean relative muscle and external load contributions to the tibiofemoral contact forces were not significantly different between ACLR and controls.ACLR had lower bodyweight-scaled tibiofemoral contact forces during walking, running, and sidestepping, likely due to lower knee flexion moments and straighter knee during the different gait tasks. The relative contributions of muscles and external loads to the contact forces were equivalent between groups.
COMPOSITION AND DEVICES FOR GAS SORPTION AND PROCESS FOR THEIR MANUFACTURING

Compositions and devices for as sorption that can be activated just before their use are described, which hence do not need storing under inert atmosphere during storage and transportation.
Precise Control of Temperature Rising Speed of Wafer during Rapid Thermal Processing

In rapid thermal processing of a semiconductor wafer, it is important to keep a given temperature rising speed of the wafer during the temperature rising process. We made an experimental apparatus to measure the temperature rising speed of a ceramic ball of 2 mm in diameter heated with four halogen lamp heaters. The heating rate of the halogen lamp heaters was controlled by computer to keep a given temperature rising speed of 50 °C/s with a controlling time interval of 0.1 s. We examined the effect of various heating control methods on the error of the temperature rising speed of the ceramic ball. We found that a combined method of control with prepared correlation and PID (proportional integral derivative) control is a good method to decrease the error of the temperature rising speed. The average error of the temperature rising speed is 0.5 °C/s, and the repetition error is almost zero for the temperature rising speed of 50 °C/s from 330 °C to 370 °C. We also measured the effects of artificial control delay time and measuring error of the monitoring temperature on the error of the temperature rising speed.
Chassis for electric vehicle, has rear frame including arc-shaped rear tubes whose end is fixed at ends of rear tube of base frame, and suspension devices including end fixed at ends of rear connection tube and another end fixed at wheels

The chassis has a rear frame (30) including a set of arc-shaped rear tubes (31) whose end is fixed at ends of a rear tube (113) of a base frame (10). A rear connection tube (32) is connected between other ends of the arc-shaped rear tubes. Two of four suspension devices (A) include an end fixed at platforms of an front assembly (23) of an front frame (20), and another end is fixed with two of four wheels (B). The other two of the suspension devices include an end fixed at ends of the rear connection tube and another end fixed at other two wheels of the four wheels.
A comparative application of different EC8-3 procedures for the seismic safety assessment of existing structures

An application of the EC8-3 procedure for safety assessment is presented herein. Besides testing the applicability of the code procedure, this application aims to assess the consistency of the safety assessment results that are obtained. Based on the application of the EC8-3 procedure, the study assesses if the different methods of analysis that are permitted lead to similar safety results and identifies the factors that may affect these results. Furthermore, the results obtained by the EC8-3 procedure are complemented by a probabilistic approach yielding their corresponding fragility values. By comparing the D/C ratios and the probabilistic results, the application aims to determine if similar D/C ratios lead to similar probabilistic results. Furthermore, the application tries to determine if a correlation can be established between the D/C ratios and the expected fragility values.
Uprophet: urinary proteomics in predicting heart transplantation outcomes

The proof of concept underlying uPROPHET rests on the EPLORE findings that capillary electrophoresis coupled with high-resolution mass-spectroscopy reproducibly identified unique urinary proteomic (UP) signatures associated with subclinical left ventricular dysfunction, renal impairment and adverse cardiovascular outcomes. Consensus criteria currently applied for the selection of patients for heart transplantation (HTx) leave an inconvenient margin of uncertainty, because of the unpredictable course of the disease and the shortage of donor hearts. Furthermore, monitoring graft function and adjusting immunosuppression remain major challenges after HTx. Endomyocardial biopsies, up to 20 in the first year after HTx, are the standard approach to detect graft rejection, but require an invasive risk-carrying procedure. uPROPHET aims to develop UP profiling: (1) as a prognostic tool helpful in selecting terminally ill heart failure patients for HTx with the greatest probability of survival while adding a maximum of high-quality years to life; and (2) as an instrument to monitor graft performance and immune system activity and to manage immunosuppression. The new UP classifiers will be initially validated by demonstrating analogy between the proteomic profiles in urine and tissue samples of explanted hearts. uPROPHET will show case the translation of state-of-the-art technology into “innovative services”, broaden the indications for UP, and therefore have a major impact on the plans of the business partner measuring the UP profiles. The evident benefit for the customer (patient) is the early and non-invasive stratification of risk in heart failure patients before and after HTx, hence allowing an early, personalised, and targeted approach. Clinical implementation of uPROPHET findings will bring European research to the forefront of the highly competitive fields of biomarker research and personalised medicine and impact on transplantation medicine beyond HTx.
POWER SYSTEM

A power system (12) has a power source (16) having a rotary output member (24). The power system may also include an electric machine (18) having a rotor (30) and a stator (26). The rotor of the electric machine may be drivingly connected to the rotary output member of the power source. Additionally, the power system may include a sensor (32) configured to provide a signal relating to at least one of a position of the rotor and a speed of the rotor. The power system may also include power-system controls (22) configured to control electric current supply to the stator dependent upon the signal and control the power source dependent upon the signal.
5G-As-A-Service

Even though the potential of 5G technology is well known, having it massively deployed and available to end-users is not an easy task. To unlock all of 5G’s use cases at scale, smaller radio equipment and antennas (Small Cells) must be deployed in a dense manner across closer to end users. However, there is a catch: it is currently very difficult for MNOs to be able to deploy this equipment at scale, within public spaces. Thus, a major obstacle must be overcome to ultimately unlock massive deployments and adoption: a common platform connecting both Infrastructure Owners (such as, but not limited to, Municipalities) and entities which are in dire need of having proper licensing and authorisation to install new or exploit readyto-be-used 5G equipment, easing the process for site acquisition, asset and network management, in the most transparent and simple way.
5GaaS intends to develop and launch a new product in the form of a decentralised marketplace for the telecom ecosystem, under a new Joint Venture. This new platform is the culmination of three major components, two of them currently already available in the market : a centralised marketplace for site leasing and tenant management, from Ubiwhere, and dRAX, from Accelleran, an interoperable, standards-based and software-focused implementation of 5G networks. The other innovative component will come out of H2020 5GCity project, to which 5GaaS partners have collaboratively contributed to by building an automated 5G network slicing engine for Neutral Hosts. 5GaaS expands these layers, implementing a decentralised marketplace connecting the whole 5G value-chain of stakeholders such as MNOs, site owners, system integrators and hardware and software vendors, using blockchain technology.
During the project, the consortium will focus on pilot activities to showcase the benefits and capabilities of said platform, having it deployed across a total of 25 sites, in 5 different European cities.
The Algebra of Adjacency Patterns: Rees Matrix Semigroups with Reversion

AbstractWe establish a surprisingly close relationship between universal Horn classes of directed graphs and varieties generated by so-called adjacency semigroups which are Rees matrix semigroups over the trivial group with the unary operation of reversion. In particular, the lattice of subvarieties of the variety generated by adjacency semigroups that are regular unary semigroups is essentially the same as the lattice of universal Horn classes of reflexive directed graphs. A number of examples follow, including a limit variety of regular unary semigroups and finite unary semigroups with NP-hard variety membership problems.KeywordsRees matrix semigroupunary semigroup identityunary semigroup varietygraphuniversal Horn sentenceuniversal Horn classvariety membership problemfinite basis problem
The launch of a new industrial phd programme at epfl

The “École Polytechnique Fédérale de Lausanne” (EPFL) is one of the two Federal Institutes of Technology in Switzerland. EPFL has three missions: i) education, ii) research, and iii) technology transfer. The EPFL is successful in fulfilling these missions, and is ranked as one of Europe’s top institutions with respect to education, research, training-through-research and innovation.

EPFL’s doctoral education and training is organized by its doctoral school, which has 19 doctoral programs that cover all EPFL research fields. The doctoral school is truly interdisciplinary, and goes across all EPFL’s disciplines. The more than 2000 doctoral students are all inscribed in one of the 19 doctoral programmes.

This proposal aims to (i) increase the awareness among PhD students - at the beginning of their PhD studies - of the possibilities to initiate a start-up, (ii) increase the number of PhD candidates that create a start-up and become entrepreneur/innovator, and (iii) to increase the success of the start-ups that have been created. To this end the “EPFLinnovators” programme will provide excellent PhD candidates with the appropriate training, experience, and guiding, to successfully start and develop their own company. A rich and complete training programme is offered in combination with a long stay, of minimum 6 months and up to 24 months, in the non-academic sector. The programme will result in a new type of “Industrial PhD”.

After finalizing their studies, these new PhDs have to possibility to profit from EPFL’s rich infrastructure to support entrepreneurs. The EPFL innovation Park, created to nurture start-ups, is located on the EPFL campus. Through a personal coach, the new PhDs have access to investors (venture capital companies), service providers (e.g. legal), human resources, and funding possibilities. This infrastructure facilitates the transfer of technology from EPFL's research laboratories to the marketplace in Switzerland and Europe.
POROUS POLYTETRAFLUOROETHYLENE AND PREPARATION

This invention relates to porous polyfluoroethylene (PTFE), shaped articles prepared therefrom, and to methods of preparing said articles.
Strategic development of flood management

Local authorities and emergency services are not sufficiently prepared to promptly react to crisis situations due to the lack of innovative technologies and adequate equipment. Project STREAM will enhance all stakeholders' competencies to promptly respond to the flood. STREAM objective is to improve monitoring and risks and to improve the management for prompt reaction in events of flood disasters by creating and developing flood risk maps, flood hazard maps and FRMP, as well as by developing EWS along with raising awareness of citizens. This action will result in increasing safety of the project area from natural and man-made disasters, which will reduce the adverse consequences on human health, environment, cultural heritage and economic aspects of the area associated with floods. Such improvement of the early warning system will reduce the risk of flood disasters and minimize loss.
Coastal Erosion Risk Management and Cross-border GOuvernance Actions

MAREGOT is a project aimed at the prevention and joint management of risks deriving from coastal erosion in the cooperation area. This strategic project intends to initiate a shared planning action which, thanks to improved knowledge of erosion phenomena and coastal dynamics, will identify optimal solutions to manage the morphological and hydrodynamic characteristics of the coast. The main actors and recipients of the actions are Public Administrations with planning experience, research centres, private citizens involved in the integrated coast management and the population at large. This project will define a cross-border monitoring method by first carrying out a critical analysis of monitoring systems and existing data. It will identify the most effective methods to build a cross-border model with the help of experiences from other projects. In line with ICZM principles, it will consider geomorphological, anthropic, socio-economic and cultural factors and pay attention to the defence of soil and natural habitats. It will outline an innovative cross-border methodology to define strategies and action plans in response to the needs of the areas. The public administrations involved will acquire useful skills to manage the erosion phenomenon in an integrated manner and, using governance processes, will seek solutions to prevent risks and adapt to climate change. A cross-border approach is necessary because the natural dynamics of erosion phenomena transcend national administrative boundaries; they are common to the regions in the Programme and require a joint plan. To complete the cross-border strategy, this project will implement awareness-raising initiatives for the targets involved in the integrated coastal management.
Media motor europe

Nowadays the media sector is moving towards an increasingly digital, mobile, and social media environment with more intense competition for attention; leading to disruptions in the creation, distribution and consumption of media. The media and creative industry in Europe is facing major challenges. Development of deep tech solutions targeting the market have the potential to help EU's media and creative industry to become an even stronger sector.
MediaMotorEurope (MME) will boost solutions that can address challenges such as misinformation, accessibility, user interfaces and use of data. Its goal is to nurture high-potential European deep tech innovators, solving today´s most prominent media industry challenges and support them in building the media solutions of tomorrow.
To succeed in this challenge, MediaMotorEurope brings together 4 distinct ecosystems in 4 different countries across Europe: Two dedicated media hubs and two strong innovation hubs.  Together with European networks of investors and startups, this will ensure that DeepTech StartUps/ScaleUps have access to the resources and prospective clients they need to succeed in accessing the market.
In order to support high-potential startups and scaleups in the ecosystem, MME has constructed a dedicated support and mentoring programme. Engagement activities and ambitious selection criteria based on a SWOT analysis will provide the most promising startups with 6 month of intensive support and coaching from MME experts. This MME programme will be repeated 3 times, having the ambition to select and support a total of 60 startups throughout the project. The ambition is that each of the selected innovators will have 3 potential clients in their books by the end of the six-month support period.
MME will host and attend a series of events to boost the visibility of the DeepTech solutions provided by the programme participants, creating even more opportunities to bring strong European innovations to the market.
Stärkung der Forschungsinfrastruktur in der Metropolregion Oberrhein

Um weiterhin auf Weltniveau wissenschaftlich und wirtschaftlich wettbewerbsfähig zu bleiben, braucht es über exzellente Köpfe und Ideen hinaus auch entsprechende Infrastrukturen, die zur gemeinsamen grenzüberschreitenden Nutzung zur Verfügung stehen um Spitzenforschung zu betreiben und Innovationen zu schaffen. Dazu muss auf den Stärken der Trinationale Metropolregion Oberrhein (TMO) aufbauend, ein im europäischen Kontext neuartiges Konzept geschaffen werden, das die optimale Nutzung bestehender Infrastrukturen durch private und öffentliche Akteure garantiert, Bedarfe und Lücken aufzeigt und einen Lösungsansatz darstellt, wie Bedarfe kosten- und nutzungseffizient gedeckt werden können. Der Lösungsansatz wird die Einrichtung einer Großforschungsinfrastruktur in Erwägung ziehen.
Teacher Learning with Lesson Study

Lesson study is a form of teacher professional development that originated in Japan. This article gives an overview of lesson study with its structure, variation, and history and reviews emerging lesson study research literature to explicate models of teacher learning with lesson study as well as to identify future research agendas. Teachers learn with lesson study by developing knowledge for teaching, establishing professional communities, and producing teaching resources. The challenges teachers face with lesson study in new cultures should be considered as learning opportunities by which teachers develop necessary inquiry skills, and that will help us understand teacher learning and existing teaching systems better.
PRINTED CIRCUIT BOARD AND A METHOD FOR IMBEDDING A BATTERY IN A PRINTED CIRCUIT BOARD

A printed circuit board (100) and a method (302,304,306,308) for imbedding a battery (106) in the printed circuit board are disclosed. The method includes connecting (302) the battery to a first inner pad (116) and a second inner pad (118) on an inner core layer (104) and forming a first battery contact (122) between a first outer pad (108) and the first inner pad (116). The method also includes electrically isolating (306) the first battery contact (122) and forming a second battery contact (124) between a second outer pad (110) and the second inner pad (118).
Quantum information learning

This project aims at developing efficient, scalable and near-term-implementable decoders for long-distance communication on free-space or optical-fiber quantum channels. It is a timely proposal for the establishment of high-data-rate space communication and secure fiber communication. Its importance is recognized in the strategic quantum communication pillar of the EU Flagship on Quantum Technologies. In this setting, the main obstacle towards implementations is a joint quantum measurement, impossible with current technology. This project will investigate how to build a complex decoder by combining simple optical gates and photodetectors, augmented by a classical neural network that controls the quantum parameters and post-processes the measurement data. Moreover, it investigates the power of machine learning for quantum technologies, a very recent interdisciplinary field that still lacks killer applications. The applicant has a PhD and several excellent publications on the subject, while the host group comprises world-leading experts in quantum information theory and pioneers in the application of statistical-inference methods to it. Hence he is in the best position to carry out the project and become an established researcher, who will be acknowledged for his inter-disciplinary expertise and his contribution to an outstanding technological problem. The scientific part of the project is complemented with a well-balanced training program: advanced training-through-research, participation to a machine-learning school, transferable-skills for career development. The researcher will engage in teaching to undergraduate students, the organization of seminars and of a machine-learning reading club. Potential exploitation of the results will take place at a quantum industry day and hackathon. Moreover, outreach events will include an original proposal for the realization of a tape-art exhibition explaining quantum-mechanics by representing quantum-technological protocols.
Hybrid and organic thermoelectric systems

Waste heat is a ubiquitous source of low-quality energy that is yet to be harvested and transformed into high-quality energy in the form of electricity. Low-cost and highly scalable thermoelectric generators (TEG) based on organic materials and hybrid composites have the huge potential to achieve this. The actual market volume for ultra-low power TEG will soon pass 100M USD, and a small improvement in TEG performance or cost may open a billion-dollar market, especially in view of the booming number of autonomous, self-powered devices related to the Internet of Things. Triggered by actual market demand for printable TEG, HORATES aims to train 15 promising early stage researchers (ESRs) in the emerging interdisciplinary field of organic thermoelectrics. ESRs will be trained within a focused consortium including universities, research centers and companies that jointly cover the full chain from molecular design and synthesis via in-depth characterization and predictive multiscale modeling to large-area printed devices. From previous and preliminary results by the consortium members, the most promising concepts have been selected for further development. These include, but are not limited to, processing-induced anisotropy and (stable) dopant-free conductors by ground-state charge transfer, and are complemented by a range of new ideas to reach application-relevant power-densities. HORATES integrates these scientific and technological aspects in a complete training package with complementary, transferable skills in order to equip young researchers with a unique toolset that is of relevance in both academia and industry, far beyond the specific topic of this project.