SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Application of an advanced and wide scope non-target screening workflow with LC-ESI-QTOF-MS and chemometrics for the classification of the Greek olive oil varieties

An optimized and validated LC-ESI-QTOF-MS method with an integrated non-target screening workflow was applied in the investigation of the metabolomic profile of 51 Greek monovarietal extra virgin olive oils (EVOOs) from the varieties: Manaki, Ladoelia, Koroneiki, Amfissis, Chalkidikis and Kolovi. Data processing was carried out with the R language and XCMS package. A local database consisting of 1608 compounds naturally occurring in different organs of Olea Europa L. was compiled in order to accelerate the identification workflow. The preliminary examination of the distribution of EVOOs toward their cultivars was achieved by Principal Component Analysis (PCA). Ant Colony Optimization-Random Forest (ACO-RF) was developed to prioritize over 250 features and to establish a classification tree. Apigenin, vanillic acid, luteolin 7-methyl ether and oleocanthal were suggested as the markers responsible for the classification of Greek EVOOs' cultivars.
La radio et le défi de la mobilisation contre la COVID-19 : exemple des personnes déplacées internes à Kaya, Pissila et Kongoussi au Burkina Faso

personnes déplacées internes à Kaya, Pissila et Kongoussi au Burkina Faso Lassané Yaméogo et Emma
Digital transceiver design for two-way AF-MIMO relay systems with imperfect CSI

In the paper, combined optimization of the terminal precoders/equalizers and single-relay precoder is proposed for an amplify-and-forward (AF) multiple-input multiple-output (MIMO) two-way single-relay system with correlated channel uncertainties. Both terminal transceivers and relay precoding matrix are designed based on the minimum mean square error (MMSE) criterion when terminals are unable to erase completely self-interference due to imperfect correlated channel state information (CSI). This robust joint optimization problem of beamforming and precoding matrices under power constraints belongs to neither concave nor convex so that a nonlinear matrix-form conjugate gradient (MCG) algorithm is applied to explore local optimal solutions. Simulation results show that the robust transceiver design is able to overcome effectively the loss of bit-error-rate (BER) due to inclusion of correlated channel uncertainties and residual self-interference.
Minimizing Calibration Time for Brain Reading

Machine learning is increasingly used to autonomously adapt brain-machine interfaces to user-specific brain patterns. In order to minimize the preparation time of the system, it is highly desirable to reduce the length of the calibration procedure, during which training data is acquired from the user, to a minimum. One recently proposed approach is to reuse models that have been trained in historic usage sessions of the same or other users by utilizing an ensemble-based approach. In this work, we propose two extensions of this approach which are based on the idea to combine predictions made by the historic ensemble with session-specific predictions that become available once a small amount of training data has been collected. These extensions are particularly useful for Brain Reading Interfaces (BRIs), a specific kind of brain-machine interfaces. BRIs do not require that user feedback is given and thus, additional training data may be acquired concurrently to the usage session. Accordingly, BRIs should initially perform well when only a small amount of training data acquired in a short calibration procedure is available and allow an increased performance when more training data becomes available during the usage session. An empirical offline-study in a testbed for the use of BRIs to support robotic telemanipulation shows that the proposed extensions allow to achieve this kind of behavior.KeywordsTraining DataEnsemble SizeEnsemble ApproachUsage SessionCommon Spatial PatternThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Vision enhanced rtk: deep integration of real time kinematics (rtk) gnss positioning and computer vision

The emerging market of autonomous or semi-autonomous vehicles requires cost effective, high accuracy (i.e. centimetre to decimetre level) navigation systems, with the most important but also most challenging and safety-critical feature: high reliability (i.e. capability of achieving high accuracy under all kinds of environments). Nevertheless,  Current Global Navigation Satellite Systems (GNSS) and Camera based Computer Visual navigation systems are limited in terms of accuracy, reliability and/or affordability, which is strongly preventing a faster development of these new business sectors.
VRTK solves these needs by offering a unique method to enhance the accuracy and reliability of traditional positioning and navigation methods. We demonstrate a deep integration of computer vision and high accuracy Real Time Kinematics (RTK) GNSS position technologies which provide high reliability of cm-accuracy in all outdoor environments-big potential to be extended indoor in a next stage. It will become a real market-creating innovation unlocking the potential of several emerging markets as listed above and a game-changing technology to make autonomous vehicles safe and affordable for everyone.
European gravity service for improved emergency management

Earth observation (EO) satellites yield a wealth of data for scientific, operational and commercial exploitation. However, the redistribution of environmental mass is not yet part of the EO data products to date. These observations, derived from the Gravity Recovery and Climate Experiment (GRACE) mission and in future by GRACE-FO (Follow-on), deliver fundamental insights into the global water cycle. Changes in continental water storage control the regional water budget and can, in extreme cases, result in floods and droughts that often claim a high toll on infrastructure, economy and human lives. The aim of this proposal is to demonstrate that mass redistribution products open the door for innovative approaches to flood and drought monitoring and forecast.
The timeliness and reliability of information is the primary concern for any early-warning system. We aim to increase the temporal resolution from one month, typical for GRACE products, to one day and to provide gravity field information within 5 days (near real-time). Early warning indications derived from these products are expected to improve the timely awareness of potentially evolving hydrological extremes and to help in the scheduling of high-resolution follow-up observations. We will provide adequate data products and indicators for tentative integration into the work of the Center for Satellite Based Crisis Information (ZKI, operated by the German Aerospace Center) and its future use within international initiatives such as the Copernicus Emergency Management Service and the International Charter “Space and Major Disasters”. The performance of our products will be assessed with complementary data and post-processed mass products derived from the combined knowledge of the entire European GRACE community unified in our consortium.
Our efforts thus culminate in three dedicated services: 1) a scientific combination service, 2) a near real-time service and 3) a hydrological/early warning service.
SIM, a Semantic Instrumentation and Monitoring Solution for Large Scale Reasoning Systems

One central task to the idea of Semantic Web is reasoning over semantic descriptions of web pages and information items available on the Web. A flagship project that is advancing the state of the art in reasoning with Web scale data is the Large Knowledge Collider (LarKC). Having a plug gable architecture, LarKC enables the interested users to test their reasoning approaches with very little overhead. In this context, instrumenting and monitoring of the large scale reasoning systems and their components becomes essential for verifying and assuring high performance, adaptability and well functioning. These aspects are in the end vital for any reasoning experiment. We introduce SIM, Semantic Instrumentation and Monitoring, a semantic-based instrumentation and monitoring solution. SIM enables the instrumentation and monitoring of LarKC applications in particular and any large scale reasoning system in general. It offers the means for developers to specify the metrics of interest, to instrument the code, to collect and observe how well the system and its components are performing. We identify a large set of relevant metrics for monitoring and provide ontological models for them. Finally we discuss the architecture and the role of each component and tool which is part of SIM.
Of Refrains and Rhythms in Contemporary Damascus

Christians in the Middle East have traditionally clustered around cities. As minorities in a Muslim majority context, difference manifests itself in many ways. In recent decades, the sounds of the city, in the form of calls to prayer from minarets and church bells, have increased, while green and blue lighting likewise crafts a plural setting that is not only audible but visible to all. In this article, I explore Christian ways of inhabiting the city in Damascus, Syria. The orchestration of space is intensifying as the region appears to be becoming an ever more vulnerable place to live for a Christian minority. I argue that an anthropological engagement with Christianity may do well to listen to the particular refrains that are formed in and of the city. Such an engagement attests to the ways in which Christianity is lived in particular locations but also how Christianity is continuously made to matter.
Speciation of Co(II), Ni(II) and Cu(II) complexes with L-glutamic acid in Dioxan-Water mixtures

Chemical speciation of Co(II), Ni(II) and Cu(II) complexes of L-glutamic acid in the presence of Dioxan-Water mixtures at an ionic strength of 0.16 mol L –1 at 303 K was studied pH– metrically. Glu is taken as a model compound for amino acid residues and dioxan is used to mimic the low dielectric constant at the active site cavities in bioactive molecules like enzymes and proteins. The active forms of the ligand were LH3 + ,L H 2 ,L H – and L 2– . The models containing different numbers of species were refined using the computer program, MINIQUAD75. The predominant species detected were ML 2 H 2 ,M L 2 H – ,M L 2 2– , MLH + and ML. The best fit chemical models were arrived at based on statistical parameters. The trend in variation of complex stability constants with the medium composition was explained on the basis of changes in the dielectric constant of the solution. Effect of errors in the ingredients on the stability constants was also studied. Chemical speciation is discussed based on the distribution diagrams.
Bringing ai planning to the european ai on-demand platform

Automated Planning and Scheduling is a central research area in AI that has been studied since the inception of the field and where European research has been making strong contributions over decades. Planning is a decision-making technology that consists in reasoning on a predictive model of a system being controlled and deciding how and when to act in order to achieve a desired objective.  It is a relevant technology for many application areas that need quick, automated and optimal decisions, like agile manufacturing, agrifood or logistics. Although there is a wealth of techniques that are mature in terms of science and systems, several obstacles hinder their adoption, thus preventing them from making the footprint on European industry that they should make. For example, it is hard for practitioners to find the right techniques for a given planning problem, there are no shared standards to use them, and there is no easy access to expertise on how to encode domain knowledge into a planner. 
The AIPlan4EU project will bring AI planning as a first-class citizen in the European AI On-Demand (AI4EU) Platform by developing a uniform, user-centered framework to access the existing planning technology and by devising concrete guidelines for innovators and practitioners on how to use this technology. To do so, we will consider use-cases from diverse application areas that will drive the design and the development of the framework, and include  several available planning systems as engines that can be selected to solve practical problems. We  will develop a general and planner-agnostic API that will both be served by the AI4EU platform and be available as a resource to be integrated into  the users' systems. The framework will be validated on use-cases both from within the consortium and recruited by means of cascade funding; moreover, standard interfaces between the framework and common industrial technologies will be developed and made available.
Training european experts in inflammation: from the molecular players to animal models and the bedside

INFLANET, with full support from academia and industry, will train 15 future scientific experts of inflammation through a combination of individual research projects, collaborative efforts, and interdisciplinary and intersectoral training. The prevalence of chronic inflammatory diseases in western societies is 5-7%, having a major impact on quality of life and healthcare costs. Accelerating the pace of anti-inflammatory drug discovery and deepening insights into drug actions poses a formidable challenge. This requires a comprehensive understanding of inflammatory processes, allowing us to link the underlying genetic, molecular and cellular events to the physiological processes in inflamed tissues.  The ultimate goal of INFLANET is to provide innovative solutions for key bottlenecks in the inflammation field. To this end, we aim to:
(1) Understand how inflammatory signals are detected, integrated by inflammasome platforms, and propagated into tissues 
(2) Take omics approaches to elucidate the genetic bases of inflammatory disorders and inform therapeutic strategies
(3) Use cutting-edge intravital imaging strategies in animal models to study molecular and cellular mechanisms of inflammatory processes, and anti-inflammatory drugs actions
(4) Develop original mathematical modelling tools to analyse the wealth of data generated, to inform disease model development, and to provide tools for physicians to understand the pathological basis of inflammatory disorders
Our unique training approach will unite scientists from very different fields of biology, including structural biologists, bioimagers, immunologists, and geneticists, with mathematicians, programmers and modellers. Moreover, our  intersectoral training will foster business thinking and entrepreneurship. Together, INFLANET will deliver a complete curriculum for the next generation inflammation scientists, mastering phenomenological understanding, medical imaging, high content screening and therapeutic strategies.
ELECTRONIC LOCKING DEVICE

Embodiments disclosed herein relate to electronic locking devices. The locking device may include a housing and an escutcheon attached to the housing. The escutcheon has a body defining an outer perimeter and a light ring disposed around the outer perimeter of the body. The light ring is configured to emit a changeable pattern of light in response to a status event to indicate the status of the electronic locking device. The light ring may be viewable from a front view and a side view. The locking device may be part of a lock set that includes a second locking device. The second locking device has a light pad that may be configured to emit complementary light patterns in response to the status event. The second or interior locking device may have a mode setting button. A controller is configured to receive a mode change from the mode setting button and configured to cause the light ring to illuminate a corresponding mode indication based on the mode change.
Effectiveness and cost-effectiveness of the initial medication adherence intervention: cluster randomized controlled trial and economic model

Between 3 and 42% of patients do not initiate their treatments. Non-initiation and non-adherence are associated with poorer clinical outcomes, more days of sick leave and higher costs. 
The aim of this research project is to generate an effective, efficient and feasible intervention that improve initiation and adherence and improves clinical symptoms. The long-term benefits in terms of improved health and reduced costs will be evaluated. The results will be disseminated to stakeholders, decision-makers and the scientific community to promote implementation. The intervention is expected to improve the clinical practice, empowering the patient. The project develops an innovative approach to the design and evaluation of behavioural interventions that uses the principles of complex interventions, pragmatic trials and implementation research. 
Nine interventions to reduce non-initiation have been tested. The interventions were not theory-based and most used simple reminders. The evidence supporting these interventions was low and their impact on clinical symptoms and cost-effectiveness was not assessed. The strengths of the IMA-cRCT study are: 1) the main stakeholders are involved in the design and assessment; 2) IMA intervention is theory-based and has been optimized; 3) the study will assess the impact of the intervention on clinical parameters and cost-effectiveness, which is key to guarantee its transferability; 4) the project involves decision-makers; 5) the pragmatic design increases generalisation and 6) the intervention is easily transferable to other pathologies, populations and countries. 
As part of the ERC research project, a pragmatic cluster randomized controlled trial (cRCT) will evaluate the short-term effects of the IMA intervention and its cost-effectiveness and Markov models will be constructed to estimate its long-term cost-effectiveness. The results will be disseminated to facilitate its transferability to clinical practice in Spain and Europe.
MARINO MONTEVERDE

A ATIVIDADE DESENVOLVIDA PELO ESTUDO É A DE ESTUDOS DE ENGENHARIA COM ATRIBUIÇÃO DE NÚMERO DE IVA E SEM REGISTO NA CÂMARA DE COMÉRCIO DE GÉNOVA. O SR. MONTEVERDE, DEPOIS DE TER CONCLUÍDO ESTUDOS UNIVERSITÁRIOS E APROVADO NO EXAME DA ABILITAZIONE.HE INICIOU A ATIVIDADE EM 01/01/1991, COMO RESULTA DO CERTIFICADO DE ATRIBUIÇÃO DO NÚMERO DE IVA. O TRABALHO É REALIZADO NO ESCRITÓRIO DE SAN COLOMBANO CERTENOLI EM VIA SCARUGLIA 39/1.SPECIFICALLY O ESTÚDIO LIDA COM DESIGN CIVIL E AMBIENTAL E, PORTANTO, O PROJETO ARQUITETÔNICO DE EDIFÍCIOS, PROJETO ESTRUTURAL E DESENVOLVIMENTO DE VERIFICAÇÕES SÍSMICAS ECC.A EXPERIÊNCIA ADQUIRIDA AO LONGO DOS ANOS TAMBÉM PERMITE A GESTÃO DE OBRAS E A COORDENAÇÃO DA SEGURANÇA DURANTE A FASE DE PROJETO E CONSTRUÇÃO. A EMPRESA TEM ATUALMENTE UM TRABALHADOR A TEMPO INTEIRO INDEFINIDO.
Automatic hitching for thetotal safety of the farmers when coupling machinery

The penetration of automation in the agricultural industry is forging ahead. Yet, the process of changing and hitching trailed implements, a key operation that every farmer performs many times per day, remains manually operated, as it was 50 years ago. Due to this, 40% of farmers deaths in farms are the result of being crushed by machinery such as tractors or implements, with fatal farms accidents costing to the EU society €923 million/year. The need for an automated, strong and reliable hitch system has never been greater. 
Listening intently to the needs of our customers, we invested 3 years of R&D to develop industry’s first fully automated hitch system. Our game-changing technology is 10x times better than closest substitutes and allows farmers to hitch their heaviest implements from tractor’s cabin, in less than 30sec. This redefines farm operations, enabling farmers to use only 1 tractor instead of 4 which is the current way of working, and brings huge cost savings enabling farmers to recoup their investment in our product in less than 258 working hours. 
Currently, our patent protected technology is at TRL6, with the system being optimised in our Danish facilities. With a feasibility plan developed under a Ph1 grant, we now seek a Ph2 grant to fine-tune our industrial-grade high pressure connection system and optimise our Machine Module to certify it for transport on public roads as per TÜV. Also, we will patent our new Machine Module and fully certify our systems for strength, reliability and safety. To speed-up market launch, we will showcase our products to key customers who have already expressed their interest. 
This will allow us to launch our products in Europe, Japan, Australia, Canada and the US, growing our business by €24 million in cumulative net profits by 2025. This cash-flow is vital to build our new facilities to meet market demand and continue improving our products, ultimately generating 18 new jobs in SIWI production and sales activities
Metabolically versatile large-genome prokaryotes

Although versatile microorganisms are critical in industrial applications where the ability to cope with change and carry out complex tasks is needed, very little is in fact known about the evolutionary and ecological meanings of versatility in prokaryotes. Testing the hypothesis that a large genome size is a prerequisite for versatility in prokaryotes, we found that putatively versatile prokaryotes are phylogenetically and ecologically diverse and indeed include many well known and commercially relevant versatile microorganisms. Despite individual differences in metabolic abilities, a common trait of large-genome prokaryotes appears that they have gained their large genomes as an evolutionary response to nutrient-scarce and/or variable environments. This insight seriously questions the ability of traditional microbiology methods to isolate versatile prokaryotes and casts doubt on the ecological relevance of knowledge based on the study of specialists.
ELECTRONIC CIGARETTE STRUCTURE

An electronic cigarette structure includes a casing having an e-liquid chamber and an opening in communication therewith, a cotton body, an airflow duct, an atomizer, and a cover on the opening and sealing the components above in the chamber. The cotton body is disposed in the e-liquid chamber for absorbing the e-liquid. The airflow duct is hollow and combined into the cotton body in the e-liquid chamber. The atomizer is disposed in the through hole of the airflow duct, so as to thermally atomize the e-liquid for producing smoke. The cover has a via hole in communication with the through hole, so that the smoke generated in the through hole is sucked out from the via hole. Thus, the tar separation is avoided, and the e-liquid is prevented from leaking.
Improvements in and relating to rectilinear bearings with circulating balls

833,207. Rectilinear-motion bearings. DEXTER & CO. (HIGH WYCOMBE) Ltd. May 15, 1956 [May 26, 1955], No. 15235/55. Class 12 (1). In a rectilinear-motion bearing comprising balls 15 which run between tracks formed by rods 12 located in a groove 11 in a member 10 and rods 6 located in a groove 7 in a member 5, the balls 15 circulate through a guideway formed by the backs of the rods 6 and a channel 16 in the member 5. Blocks 21 have channels 17 which complete the circuit at the ends. The rods 6, 12 are located in position by screws 8, 13 respectively disposed at intervals along the tracks. In a modification, a member 4 is supported between two members 3 by two such rectilinear-motion bearings. The end channels comprise spaced plates 28, Fig. 8, having semicircular cavities 29, attached to plates 3. The rounded ends of the rods 6 may be formed on the rods or they may be formed by the rounded heads 33 of plugs 34 forced into holes 35 drilled in the ends of the rods 6, as shown in Fig. 9. In a further modification, a rod 37, Fig. 11, is mounted for longitudinal movement with respect to a housing 39 by three bearings 1, each of which has circulating balls 15 bearing against the shaft. The bearing carriers are located in radial slots 38 in which they are adapted to slide and are spring-pressed towards the shaft 37 by springs 40. Specifications 655,961, 665,579 and 666,543 are referred to.