SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
SENSOR-ASSISTED CATHETER-BASED PROCEDURES

Methods, systems and devices for effectively and safely accessing and verifying a target site within a vessel or body cavity undergoing a catheter-based procedure or treatment (Figure IB). The present invention farther includes the accurate delivery an instrument, an implantable device and/or materials to the target site. The present invention is particularly useful for transvenously assessing the suitability of a target site within the coronary vasculature for placement of a pacing electrode and transvenously placing the pacing electrode at the target site.
Identification of Groundwater Parameters Using an Adaptative Multiscale Method

The identification of groundwater parameters in heterogeneous systems is a major challenge in groundwater modeling. Flexible parameterization methods are needed to assess the complexity of the spatial distributions of these parameters in real aquifers. In this article, we introduce an adaptative parameterization to identify the distribution of hydraulic conductivity within the large-scale (4400 km(2) ) Upper Rhine aquifer. The method is based on adaptative multiscale triangulation (AMT) coupled with an inverse problem procedure that identifies the parameters' distributions by reducing the error between measured and simulated heads. The AMT method has the advantage of combining both zonation and interpolation approaches. The AMT method uses area-based interpolation rather than an interpolation based on stochastic features. The method is applied to a standard 2D groundwater model that takes into account the interactions between the aquifer and surface water bodies, groundwater recharge, and pumping wells. The simulation period covers 204 months, from January 1986 to December 2002. Recordings at 109 piezometers are used for model calibration. The simulated heads are globally quite accurate and reproduce the main dynamics of the system. The local hydraulic conductivities resulting from the AMT method agree qualitatively with existing local experimental observations across the Rhine aquifer.
High power charger for electric vehicles

Electric vehicles (EVs) hold the key to environmentally friendly transport for the future, but they are on an environmental and technological detour: Owners buy fuel cars because of range anxiety and charging typically takes hours, not minutes.

Nerve Smart Systems has invented and patented the B-HPC (Buffer-High Power Charger). The battery and control system of the B-HPC enables delivery of ultra-fast-charging power (350 kW) by using low-power grid connections. 

The B-HPC can charge a vehicle in the same time as it takes to fuel a conventional car, and with benefits such as significantly lower initial grid installation costs, low stress on grid and low total cost of ownership, the B-HPC is the missing link for a large-scale roll-out of EVs.

The B-HPC will be 30% cheaper than current state-of-the-art fast chargers today, increasing to 44% cheaper by 2023, as it scales better with large volume manufacturing. As it also performs better it will be an attractive choice when approx. 25 million chargers will be put out in Europe alone in the coming years (market value approx. €600bn). Through own label and particularly license agreements, Nerve Smart Systems foresees a revenue of €500m globally in six years’ time.

The objectives of the project are to build and test a 350kW High Power Charger, demonstrate fully working systems that can be used as pre-marketing for later sales, and ensure scalability of both technology and business to prepare for roll-out to international markets.
Properties of the Λ(1405) Measured at CLAS

Using the CLAS detector system in Hall B at Jefferson Lab, we have done a high statistics measurement of the photoproduction of K+ Lambda(1405) using a proton target. The reconstructed invariant mass seen in the various Sigma pi decay modes has been measured, as well as the differential cross section dsigma/dt. The nature of the Lambda(1405) with its peculiar mass distribution is not well understood, and studies have shown that it may posess strong dynamical components, which could be extracted from our data. Various aspects of our analysis are discussed, as well as future prospects to further enhance the precision of the results.
Shifting media imaginaries of the Web

This exploratory paper sets out a conceptual model for investigating how media imaginaries of the Web shape its design and use over time. We draw from the work of scholars who have devised models for the study of techno-social imaginaries of information and communication technologies, including Patrice Flichy and Robin Mansell. Based on these works, we devise a case study of contrasting media imaginaries of the Web by drawing on textual analysis of statements made by Tim Berners-Lee over more than two decades. Through our analysis of these statements, we show how differing views on the role of creativity — and how it is represented by people and technologies ‘behind the screen’ and ‘in front of the screen’ — lead to competing visions of the past, present, and future of the Web. We conclude with suggestions for some future research questions emerging from this study.
ROGALSKI EFFECT IN JAPAN, UNITED STATES, ANDINDONESIA CAPITAL MARKET

This research aims at analyzing Rogalski effect in Indonesia, Japan, and
United States. To see the Rogalski effect to Indonesia, Japan, and United States
stock market will use abnormal return to see it. This paper will use Market model
to find the abnormal return. Normality test, Kruskal Wallis Test and Wilcoxon
were used to analyze the data.
The result showed that Monday effect and January effect not happen in
Japan, United States, and Indonesia capital market, because Monday effect and
January not happen in capital market, it means that Rogalski effect not happen in
Japan, United States, and Indonesia capital market, because average abnormal
return on Monday in January is not higher than average abnormal return on
Monday in other months (non January).
Modulation of intestinal barrier function and inflammation via butyrate-promoting dietary fibre

The FIBCOLIT project investigates the impact of fermentable dietary fibres (DFs) on intestinal physiology and inflammation via dietary intervention study in human patients with microscopic colitis (MC), a chronic disease characterised by sustained mild intestinal inflammation. This subject topic has significant interest for public health considering 1) the increased global incidence and prevalence of inflammatory bowel diseases in the last 20 years, and 2) the increased scientific knowledge regarding the role of intestinal inflammation in driving the development of systemic inflammation in metabolic diseases. Currently, considerable knowledge gaps exists regarding the biological and physiological mechanisms that maintain and modulate intestinal homeostasis as well as the pathophysiological mechanisms that lead to chronic intestinal inflammation. The FIBCOLIT project aims to answer these open scientific questions through a multi-omics approach employing several analytical methods to examine DF-induced changes in intestinal barrier function, inflammatory markers, intestinal microbiota composition and functionality, as well as gastrointestinal symptoms, quality of life, and general well-being. The projects utilises a DF known to promote the production of luminal butyrate, a short-chain fatty acid that has been associated with several positive health effects. Overall, the project's methodology allows specific targeting of the mechanistic links between DF intake, butyrate, and intestinal health. Should DF supplementation prove effective at restoring intestinal homeostasis, it could potentially offer a non-pharmaceutical option to the prevention and management of diseases characterised by chronic intestinal inflammation. The project results could potentially also serve as starting point in the development of functional foods for the general public.
Een innovation management berlin-brandenburg (innomanage bb 2020-2021)

The overall aim of the action is to help to enhance and accelerate the economic returns from innovation in Europe, by increasing the innovation management capabilities of SMEs. The project sought to address and strengthen the area of innovation management for innovative SMEs in the region of Berlin and Brandenburg. As identified by the European Commission, innovation management is a key area for companies and the inability to manage these processes effectively is a significant barrier to SME innovation and their competitiveness. This is the context in which we attempted to enhance the innovation competence of Berlin and Brandenburg based companies.
The proposed project is an integral part of the Enterprise Europe Network activities in Berlin and Brandenburg for the next period 2020-2021. The project addresses two main objectives, which are pre-defined by the European Commission and aimed for a limited number of small and medium sized enterprises in Berlin and Brandenburg:
1. The first main objective for InnoManage BB consortium is to ensure that key SME beneficiaries of Horizon 2020 funding schemes EIC Pahtfinder, EIC Accelerator (SME Instrument) and  Fast Track to Innovation (FTI) will receive appropriate Key Account Management KAM services which should be complemented by coaching services. The objective of this service is to identify weaknesses in the innovation capacities of the SME beneficiaries hindering their growth opportunities and hence their full commercial potential.
2. The second main objective is to ensure that SMEs with significant innovation activities and a high potential for internationalization -promising SMEs with gaps in the innovation management systems - will receive high quality innovation support to address those gaps.
Whereas the first service package is reserved for beneficiaries of the Horizon 2020 funding schemes with a dedicated coaching scheme, the second is targeted at highly promising innovative enterprises.
Comparative Study onAllium schoenoprasumCultivated Plant andAllium schoenoprasumTissue Culture Organs Antioxidant Status

This study was designed to examine Allium schoenoprasum tissue culture organs antioxidant and scavenging activity and to make a comparison between Allium schoenoprasum cultivated plant and Allium schoenoprasum tissue culture organs antioxidant activity. This study reports the results on the root, stalk and leaf antioxidant enzyme activities (superoxide dismutase, catalase, guaiacol peroxidase and glutathione peroxidase), reduced glutathione quantity, flavonoids and soluble protein contents and quantities of malonyldialdehyde and ·OH radical. In Allium schoenoprasum tissue culture organs the total antioxidant capacity was determined by the FRAP method and scavenger activity by the DPPH method. The present results indicated that the crude extract of Allium schoenoprasum tissue culture exhibited antioxidant and scavenging abilities in all investigated plant parts, especially in the roots. According to our results, the tissue culture plants exhibited the highest activities in the roots in contrast to the cultivated plants where highest activities were observed in the leaves.
Geography of demography: modelling plant population responses to global habitat patterns

Mankind is profoundly altering the environments in which plant and animal populations live. An era of such massive habitat rearrangements requires ecologists to take new approaches to increase our understanding of species distribution and likelihood of persistence worldwide. Improved ecological models of range-wide persistence and response to the simultaneous threats of climate change, habitat destruction and landscape reconfiguration are required to inform management of biodiversity at large scales. GEODEM brings together global datasets of plant distribution and demography to gain insight into how the geographic configuration of habitats affects growth, survival and reproduction of more than 500 plant species worldwide. The project has two main objectives: 1. Geographic Range Pattern Analysis: Using species distribution models and global spatial statistics tools to quantify and compare spatial patterns of suitable environmental conditions across species’ biogeographic ranges. 2. Landscape Demography: Testing how the spatial arrangement of suitable habitat within the geographic space can inform population responses to environmental gradients. The fellow will be supervised by and collaborate with world leaders in spatial ecology in Ireland and other European countries to accomplish her goals. The prestigious Marie Skłodowska-Curie fellowship will enable her to develop expertise in currently disparate areas of species distribution modelling and demography and place her in a unique position to make significant contributions to the urgent problem of population persistence at large scales during this era of global change. It will enable the fellow to build an independent research program in Europe after gaining research experience in top universities in Canada and Australia.
Estrategia financiera y administrativa para un club profesional de futbol en Colombia

The economic and administrative crisis of the Colombian soccer clubs has been evident, the 
unreasonable indebtedness, the neglect of the labor and taxes liabilities and the intervention of 
corrupt facts against the financial survival of the soccer clubs are the main problems. The flow of drug money mainly made the soccer clubs influenced by it, had the ability to 
make great hiring of players and the formation of clubs with high salaries which were 
recognized in whole the world. After the disappearance of the most important drug cartels, the 
illegal sources flow of those clubs disappeared, too. So, the real endemic structure of the 
soccer clubs was perceived.
For that reason, the soccer clubs have to adapt the form of the current world organization, 
taking into account the media and marketing as the most important players, preserving the 
balance between sports and financial facts, at the same time, having divers alternatives in 
order to get incomes.
De l’écoute d’une langue étrangère à l’écoute d’une musique de langue

Any school and university subject that is taught is largely based on the quality of face-to-face and distance listening that teachers and students manage to mobilize. In the case of a language produced in spoken mode, outside the student's habitual and familiar auditory field, listening and its definition, as obvious as they may seem, acquire an even more strategic importance. If we take a tour in educational sciences, in the didactics of French as a foreign language, in the didactics of language music in search of definitions, if we approach the musical neurosciences, the distinction between linguistic listening and musical listening clearly appears. as well as the relevance of the development of various musical listening modalities for students of French language-culture. Cualquier asignatura escolar y universitaria que se imparta se basa en gran medida en la calidad de la escucha presencial y a distancia que los profesores y alumnos logran movilizar. En el caso de una lengua producida en modo hablado, ajena al campo auditivo habitual y familiar del estudiante, la escucha y su definición, por ob-vias que parezcan, adquieren una importancia aún más estratégica. Si realizamos un recorrido en ciencias de la educación, en didáctica del francés como lengua extranjera, en didáctica de la música del lenguaje a la búsqueda de defi-niciones, si nos acercamos a las neurociencias musicales, aparece claramente la distinción entre escucha lingüística y escucha musical, así como la relevancia del desarrollo de varias mo-dalidades de escucha musical para los alumnos de lengua-cultura francesa. Toute matière scolaire et universitaire enseignée repose, en grande partie, sur la qualité des écoutes présentielles et distancielles qu’enseignants et apprenants parviennent à mobiliser. S’agissant d’une langue produite sur le mode parlé, étrangère au champ auditif habituel et familier de l’apprenant, l’écoute ainsi que sa définition, aussi évidente semblent-elles, prennent une importance encore plus stratégique. En effectuant un parcours définitionnel en sciences de l’éducation, en didactique du français langue étrangère, en didactique des musiques de langue, en se rapprochant des neurosciences musicales, la distinction entre écoute linguistique et écoute musicale apparaît clairement, autant que la pertinence de la culture didactique de modalités d’écoute musicale.
Technological Transformation & Transitioning of Regional Economies

The debate on the implications of technological transformation is just beginning and the potential impacts in the long-term cannot yet be fully known. However, it is clear that regions and cities throughout the EU currently demonstrate differing capacities, socioeconomic profiles, levels of knowledge, attitudes and readiness to cope with transformative technological change, placing major importance on regional policies in the coming years.There is a growing recognition that one-size-fits-all policies cannot address effectively the differential challenges faced in different geographies. This is reflected in the White Paper and the Seventh Cohesion Report which calls for more targeted support in places which are being left behind. Similarly, the recently published ‘Renewed EU Industrial Policy Strategy’ highlights the need to provide “tailor-made and joined-up support to address the specific challenges of regions going through an acute crisis or falling into decline”.The objective of this research is to provide a pan-European investigation of the territorial dimensions of current technological transformations and the transitioning of regional economies in Europe. The research should develop an understanding about what the technological transformation means from a territorial perspective and examine how emerging technologies are actively (re)shaping regional economies in different geographical contexts and the territorial and structural changes they are bringing (and likely to bring) about, focusing, in particular, on the transport, manufacturing and energy sectors, where the territorial impacts are likely to be strongest and most pervasive.
A neurally-informed behavioural modeling framework for examining individual and group difference in perceptual decision making

Pinpointing the mechanistic origins of inter-individual differences in decision making is a central goal of modern psychology and a considerable challenge because even elementary perceptual choices rely on a multitude of sensory, cognitive, motivational and motoric processes. For this reason, researchers have relied heavily on a set of mathematical ‘sequential sampling’ models that are designed to parse the latent psychological processes driving variations in choice behaviour. Although these models have been fruitfully employed in thousands of theoretical and neurophysiological investigations, they suffer from several limitations that particularly undermine their utility in inter-individual or -group comparisons including: A) parameter values are estimated on a relative, within-subject scale; B) the models come in many forms that can make identical behavioural predictions despite invoking fundamentally different mechanisms (‘model mimicry’); and C) they deal in abstract psychological constructs that are themselves dependent on multiple neural processes. The objective of this proposal is to address each of these issues by pioneering a ground-breaking decision modelling framework in which models are constructed and evaluated based on their ability to explain key observable aspects of the neural implementation of the human decision process in addition to its behavioural output. This ambitious goal is made possible by recent advances in non-invasive electrophysiology which enable direct observation, measurement and manipulation of the decision process as it unfolds in the human brain. Across a series of empirical investigations that will use adult aging as a test-bed for studying inter-individual and -group differences, this research will yield new methods for directly comparing model parameter values across subjects, resolve prominent theoretical debates regarding decision making algorithms and gain important new insights into their susceptibility to cognitive aging.
Inferring the impact of rainfall gradient on biocrusts’ developmental stage and thus on soil physical structures in sand dunes

The aims of this study were to investigate the impact of biological soil crusts’ (biocrust) developmental stage on soil physical structures in sand dunes under two different rainfall regimes. It was hypothesized that biocrust’s developmental stage and function, as affected by the aridity level, may impact soil surface properties, pedogenesis and hydrology. Bio-physiological parameters of the biocrust (polysaccharide, protein and chlorophyll contents) were studied for the determination of its developmental stage. The soil physical surface properties that were measured included the surface breaking pressure and granulometry. Hydrological measurements included the infiltration rate and soil moisture regime in deep layers and structure granulometry. These measurements were taken over two years, in scraped top soil surfaces and in homogeneous sandy dunes, and were compared with natural biocrust surfaces. Higher precipitation at the northern site, with a more advanced developmental stage of the natural biocrust compared to the southern site, has affected the structure granulometry by increasing the cohesive fractions of clay and very-fine silt within the soil surface layer. Higher infiltration rates and soil moisture (%) below the biocrust were obtained with the cyanobacterial crust at the dry southern site. Biocrust controls water infiltration into the soil sub-surface by affecting the surface penetrability. The infiltration controlled by the crust was inversed to the rainfall gradient. The novelty of this study is that by characterizing the bio-physiological parameters of biocrusts as affected by aridity levels, it is possible to imitate climate change scenarios on soil moisture in specific sites.
Approaches to adversarial drift

In this position paper, we argue that to be of practical interest, a machine-learning based security system must engage with the human operators beyond feature engineering and instance labeling to address the challenge of drift in adversarial environments. We propose that designers of such systems broaden the classification goal into an explanatory goal, which would deepen the interaction with system's operators.To provide guidance, we advocate for an approach based on maintaining one classifier for each class of unwanted activity to be filtered. We also emphasize the necessity for the system to be responsive to the operators constant curation of the training set. We show how this paradigm provides a property we call isolation and how it relates to classical causative attacks.In order to demonstrate the effects of drift on a binary classification task, we also report on two experiments using a previously unpublished malware data set where each instance is timestamped according to when it was seen.