SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Objectual memory: remembering objects by simulating the past

Much attention in our theorizing about the mind has been devoted to episodic memory. In episodic memory, a subject remembers an event from their personal past in a way accompanied by conscious imagery, typically from the first-person perspective, through which they 're-live' the experience. Other species of memory are no less significant to our mental lives, however. We remember objects—for example, one's first car, or one's childhood family dog—and we do so in ways which may outstrip our memory of events in which those objects featured. It is possible, for example, to remember a face while having no sense of where in one's past one's memory of it derives. While we presently lack a philosophical account distinctive of what I will call 'objectual memory', the raw materials are there for the taking. This project will use state of the art, 'simulationist' approaches to memory in order to address this lacuna, establishing the following core hypothesis:  Objectual memory is not a mere form of episodic or semantic memory (Work Package 1). We can best understand it, in harmony with broadly simulationist approaches to remembering, as a kind of ‘epistemically informed’ imagination (Work Package 2). Though broadly simulationist in character, this view is compatible with experiences of objectual memory constituting a direct relation to the past (Work Package 3).  This project has immediate implications for philosophy of mind and epistemology, but it also generates questions for the sciences. If objectual memory is to be considered a product of the so-called 'episodic' memory system, it is misleading to think of this system as a means of constructing temporally structured episodes from one’s past. For the system also produces occasions for the awareness of past objects—things which lack an essentially temporal structure. Alternatively, if the ‘episodic’ memory system is confined to the awareness of events, objectual memory must be the product of another system.
GAS-PERMEABLE FABRIC

A method of producing a gas-permeable fabric comprises weaving a plain or hopsack pattern with missing or interchanged binding points. Preferably, the degree of permeability in certain areas of the fabric is varied by increasing or decreasing the incidence of missing binding points. The fabric is used in an airbag to control the venting of gases through selective permeability while maintaining similar fabric properties in terms of strength and weight.
Food treatment process based on high voltage nanopulsed electric discharges in liquid phase

The project intends to explore the feasibility of introducing to the market a small milk steriliser unit based on a patent pending
device developing high voltage (>100kV) nanopulsed electric discharge in liquids, to be used mainly by farmers selling
directly their fresh dairy products through vending machines.
Wider objective met by EMILK: increased nutritious food production opportunities in Europe and in developing Countries.
EMILK has the potential to develop into a viable sterilisation solution suitable for use in areas without infrastructure to
support the refrigerated collection of food.
The European organic market is growing by approximately six percent (24 billion euros in 2013). In this scenario direct sales
(e.g. from farmer to customer) weigh about 5% and it is continuously increasing since «zero km» food is perceived as higher
value by final customer. The milk market is particularly interesting since raw milk is paid by industry to farmers at a very low
price (0.32€/l for best quality organic milk) while final customer is often willing to pay up to 2€/l for the same product. Raw
milk sterilising solutions that keep intact nutrients and organoleptic qualities, while ensuring the standards of hygiene and
safety are required to enable more Europeans to enjoy raw milk.
The feasibility study intends to check the attractiveness of the innovation to the market, define the opportunities both for the
integration of the device in milk vending machines and for further developments, through identification of partners in the dairy
industry supply chain; fine tune the business plan already drafted in this application and applying for further funding (SME
instrument Phase2, local regional funding, private investments).
RISK-Advanced Weather forecasting system to Advice on Risk Events and manage-ment

Meteorological hazards, especially flooding, cause the loss of lives and the destruction building and infrastructure. This demands for improving forecasts and timely warnings of such hazards in order to protect lives and properties. The project general objectives are the prevention of geo-hydrological natural disaster at regional, national and trans-national level forced by meteorological situation and the design and implementation of regional, national and trans-national programmes for geo-hydrological hazards assessment and risk management. The projects main activities will focus on the: - definition of methodologies, models and data set; - definition of common guidelines for risk prevention and management; - design and development of data communication system and archiving system; - implementation of the operational prototypes over selected target areas; - deployment of facility to end-user. The goal of RISK AWARE is to enlarge the spectrum and quality of meteorological information up to the short range (0-24 hours) in order to support users in hydrology, geology, civil protection and related areas whose actions are dependent on timely information about severe meteorological events evolving on short time scale and local hydro geological conditions.
Discovery and modelling of a flattening of the positive cyclotron line/luminosity relation in GX 304−1 with RXTE

The Rossi X-ray Timing Explorer (RXTE) observed four outbursts of the accreting X-ray binary transient source, GX 304−1 in 2010 and 2011. We present results of detailed 3–100 keV spectral analysis of 69 separate observations, and report a positive correlation between cyclotron line parameters, as well as other spectral parameters, with power-law flux. The cyclotron line energy, width and depth versus flux, and thus luminosity, correlations show a flattening of the relationships with increasing luminosity, which are well described by quasi-spherical or disc accretion that yield the surface magnetic field to be ∼5 × 10^(12) Gauss. Since HEXTE (High Energy X-ray Timing Experiment) cluster A was fixed aligned with the Proportional Counter Array field of view and cluster B was fixed viewing a background region 1°.5 off of the source direction during these observations near the end of the RXTE mission, the cluster A background was estimated from cluster B events using
HEXTEBACKEST.
This made possible the detection of the ∼55 keV cyclotron line and an accurate measurement of the continuum. Correlations of all spectral parameters with the primary 2–10 keV power-law flux reveal it to be the primary driver of the spectral shape. The accretion is found to be in the collisionless shock braking regime.
Production impact of influenza A(H1N1)pdm09 virus infection on fattening pigs in Norway1

Newly emerged influenza A(H1N1)pdm09 virus infection in Norwegian pigs, although often observed in a subclinical form, can lower the pig's growth performance by reducing feed efficiency in terms of a poorer feed conversion ratio. Infected pigs would consume more feed and require protracted production time to reach market weight. In our observational longitudinal study, growth performance data from 728 control pigs and 193 infected pigs with known viral shedding time points were analyzed using mixed linear regression models to give estimates of the marginal effects of infection. Gaussian curves describing the variability of the estimates at the individual pig level formed the fundamental inputs to our stochastic models. The models were constructed to simulate the summed negative effects of the infection at the batch level of 150 fattening pigs growing from 33 to 100 kg. Other inputs of variability and uncertainty were 1) batch transmission points, 2) pig infection points to reflect the disease transmission dynamics of the virus, and 3) final prevalence of infected pigs in the batch. Monte Carlo random sampling gave 5,000 estimates on the outputs of the marginal effects for each pig. These results were summed up to provide estimates for a batch size of 150 pigs. This figure was adjusted by our final prevalence distribution function, which was also derived from the longitudinal study with 12 cohorts of infected pigs. For a 150-fattening-pig herd randomly selected from the population, the marginal effects of the infection were 1) 835 kg (fifth percentile) to 1,350 kg (95th percentile) increased feed intake and 2) 194 (fifth percentile) to 334 (95th percentile) pig days in excess of expected figures for an uninfected batch. A batch infected during growth phase 3 (81 to 100 kg BW) gave the worst results since the longitudinal study showed that a pig infected during growth phase 3 required more feed and a greater protracted production time compared to younger infected pigs. Sensitivity analysis showed that final prevalence had the greatest impact on the conditional mean and variation of the marginal effects of infections. Batch transmission point was the next most influential factor. Lowering the final prevalence and preventing older fattening pigs from being infected will have the greatest benefit in saving feed cost and reducing delay in getting the pigs to the market.
Weak Gabor bi-frames on periodic subsets of the real line

In this paper, we introduce the concept of weak Gabor bi-frame (WGBF) in a general closed subspace [Formula: see text] of [Formula: see text]. It is a generalization of Gabor bi-frame, and is new even if [Formula: see text]. A WGBF for [Formula: see text] contains all information of [Formula: see text] to some extent. Let [Formula: see text], [Formula: see text], and [Formula: see text] be an [Formula: see text]-periodic subset of [Formula: see text] with positive measure. This paper is devoted to characterizing WGBFs for [Formula: see text] of the form [Formula: see text] It is well-known that, if [Formula: see text], the projections of Gabor frames for [Formula: see text] onto [Formula: see text] cannot cover all Gabor frames for [Formula: see text]. This paper presents a Zak transform-domain and a time-domain characterization of WGBFs for [Formula: see text]. These characterizations are new even if [Formula: see text]. Some examples are also provided to illustrate the generality of our theory.
VEHICLE FOR A MAGNETIC LEVITATION TRACK

The present invention relates to a vehicle for a magnetic levitation track having a coach body (1) and a propulsion and supporting device (4) as well as at least one levitation frame (2) fastened on the coach body (1) and the propulsion and supporting device (4). The levitation frame (2) can be deflected transversely to the longitudinal axis of the propulsion and supporting device (4) and a spring suspension system (12, 14, 20, 21) is arranged between the levitation frame (2) and propulsion and supporting device (4). The levitation frame (2) has a traverse (13) and a carrier (17) which are connected to each other in an articulated fashion.
An empirical foundation for understanding positive emotions

Positive emotions are of great importance for our physical and mental health and for our social relationships. However, scientific knowledge of positive emotions is lacking, with research to date being both fractionated and scarce. The Positive Emotions Project (PEP) takes on the challenge of formulating a foundational, empirically-based framework of positive emotions. This is accomplished by a set of studies combining methodologies that examine both subjective and objective elements of 17 positive emotions, including gratitude, awe, amusement, compassion, and relief. Central to the investigation is the integration of cross-cultural and developmental approaches, in order to differentiate between consistent patterns and idiosyncratic features. Project 1 will use experience sampling to map out the experience of positive emotions across ten dramatically different cultures, examining subjective elements of emotions, such as antecedent events and psychological states. Project 2 will comprehensively establish which nonverbal facial and vocal signals are associated with different positive emotions across cultures and ages. Project 3 will provide an integrated multi-level account of positive emotions, considering similarities and differences across emotions, taking into account cross-cultural and developmental patterning of subjective and objective features. The empirical and theoretical results of PEP will result in new, innovative paradigms, and substantial, freely available datasets that will help to redress the current dearth of data and approaches for understanding positive emotions. It will also provide the basis for a much-needed scientific, multifaceted account of positive emotion. Such a model will benefit scientists across many disciplines, including affective computing, behavioural economics, and psychiatry, whose work builds on psychological models of emotions.
Neurological application validation for photon counting spectral ct

This project is a spin-off from a 6 MEUR and six year research effort at the Royal Institute of Technology (KTH) where a photon counting detector for spectral computed tomography has been developed. 
 
A functional bench-top prototype already exists and has been used for phantom image acquisition as well as system evaluation and optimization. Remaining items are determination of the final modular design, especially to find the correct point on the performance-cost-trade off curve and related to this are which market segment will be approached. The phase 1 feasibility study and business plan development will address these issues as well as several other strategic questions important for maximizing the commercial potential of the innovation. 
 
Our working hypothesis is that neuroradiology is the best segment to approach since spectral imaging capabilities are likely to help determine the vulnerability of carotid plaques to rupture (and cause stroke) and also for brain profusion measurements where any residual blood flow is essential in determining the correct treatment scheme after a stroke. Head and neck applications combined with brain imaging constitute 25% of all CT procedures and is considered a high-end segment. This make makes entering the market at a price premium easier. The physical size of the detector, and thus manufacturing cost, is in the mid-range in this segment which is an additional benefit; the projected cost of this new technology is reasonable. 

Our foreseen business model is to supply modularized detector modules to a preferred system vendor for integration in their gantry. A vendor supplied CT gantry is already installed and fully functional and first integration tests have already begun. As part of the feasibility study we will jointly determine on a set of system integration parameters and functional specifications the fulfilment of which will result in the first orders of full scale detector modules.
S’ADAPTER

Adaptation des magasins physiques, placement de portes automatiques, Distributeurs de désinfectants et contrats de services de désinfection.Acquisition, création et publication initiale de nouveaux contenus électroniques, ainsi que l’inclusion ou le catalogage dans des répertoires ou des moteurs de recherche et des mots publicitaires Google.
A Neural Network Underlying Circadian Entrainment and Photoperiodic Adjustment of Sleep and Activity in Drosophila

A sensitivity of the circadian clock to light/dark cycles ensures that biological rhythms maintain optimal phase relationships with the external day. In animals, the circadian clock neuron network (CCNN) driving sleep/activity rhythms receives light input from multiple photoreceptors, but how these photoreceptors modulate CCNN components is not well understood. Here we show that the Hofbauer-Buchner eyelets differentially modulate two classes of ventral lateral neurons (LNvs) within the Drosophila CCNN. The eyelets antagonize Cryptochrome (CRY)- and compound-eye-based photoreception in the large LNvs while synergizing CRY-mediated photoreception in the small LNvs. Furthermore, we show that the large LNvs interact with subsets of "evening cells" to adjust the timing of the evening peak of activity in a day length-dependent manner. Our work identifies a peptidergic connection between the large LNvs and a group of evening cells that is critical for the seasonal adjustment of circadian rhythms.In animals, circadian clocks have evolved to orchestrate the timing of behavior and metabolism. Consistent timing requires the entrainment these clocks to the solar day, a process that is critical for an organism's health. Light cycles are the most important external cue for the entrainment of circadian clocks, and the circadian system uses multiple photoreceptors to link timekeeping to the light/dark cycle. How light information from these photorecptors is integrated into the circadian clock neuron network to support entrainment is not understood. Our results establish that input from the HB eyelets differentially impacts the physiology of neuronal subgroups. This input pathway, together with input from the compound eyes, precisely times the activity of flies under long summer days. Our results provide a mechanistic model of light transduction and integration into the circadian system, identifying new and unexpected network motifs within the circadian clock neuron network.
Constructing the colonized land : entwined perspectives of East Asia around WWII

Contents: Foreword, Prasenjit Duara Introduction, Izumi Kurioishi A study of Japanese colonial architecture in East Asia, Yasuhiko Nishizawa Recentering the city: municipal architecture in Shanghai, 1927-1937, Cole Roskam Scholarship and political identity: Asianism in Tadashi Sekinoa (TM)s survey of Chinese heritage before 1935, Xu Subin Transplanting state Shinto: the reconfiguration of existing built and natural environments in colonized Taiwan, Akihito Aoi From political governance and spatial restructure to urban transformation and architectural achievements: discourse on architecture in the Japanese colonial period, 1895-1945, Chao-Ching Fu Macaua (TM)s urban transformation 1927-1949: the significance of Sino-Portuguese foreign relations in the urban form, Paula Morais Colonial modernity and urban space: Seoul and the 1930s land readjustment project, Junichiro Ishida and Jooya Kim On Park Kil-ryonga (TM)s discovering, understanding, and designing of Korean architecture, Woo Don-Son Domesticating othersa (TM) space: surveys and reforms of housing in Chosen and Japan by Wajiro Kon, Izumi Kuroishi. Index.
Business Process Oriented Platform-as-a-Service Framework for Process Instances Intensive Applications

With the cloud computing becoming more and more popularity in both commercial and academic fields, platform-as-a Service (PaaS) becomes one of the core technologies for service provider to change the way of service-providing to both common users and scientific organization. This paper describes a business process oriented Platform-as-a-Service framework called BPPaaS including an integrated business process application programming model, and business process oriented Platform-as-a-Service middleware. BPPaaS can enable users to submit their business process logic source code programmed by integrated business process programming language to this platform. And BPPaaS will parse the logic source code, extract the business process tasks and task-relationship to form meta-data, and encode business process tasks as standalone executable components. Since different cloud data center has specific data, BPPaaS will assign the business process tasks to the specific data center as task execution nodes, which have the necessary data required by tasks. A scheduling algorithm is introduced to supporting business process intensive application execution with multiple heterogeneous java runtime environments as the underling parallel computation platform. Finally, a case in social security application shows this framework can streamline complex computational business process.
Development of a non-invassive breath test for early diagnosis of tropical diseases

This project aims at demonstrating the feasibility of a non-invasive, safe and patient-friendly methodology for on-site rapid diagnosis of tropical diseases. The proposed approach is based on breath samples analyses, which are easy to obtain and present no discomfort or risk for patients health. In this study will be enrolled patients with three different types of neglected tropical diseases (Hydatidosis, Leishmaniasis and Dengue) from different geographical locations (Europe, South America and Maghreb). Breath sampling will follow a standardised procedure. Analytical chemistry methods will be employed for the identification of the breath volatile biomarkers of these diseases. A pool of potential nanomaterials with high affinity towards the identified VOCs will be selected (e.g., gold nanoparticles, carbon nanotubes and semiconducting nanowires, either pristine or functionalised with selected hydrophobic organic molecules and/or bio-molecules). For maximising the possibility of success of our methodology, we will investigate the synergic effect of different advanced and complementary chemical sensing techniques: Mid-Infrared Quantum Cascade Laser spectroscopy and different types of Chemical Gas Sensors devices. These techniques are particularly attractive, since they can be miniaturised and are suitable for building on-site portable systems. Advanced pattern recognition algorithms will be employed for building discriminative models for the identification of the fingerprints of the different tropical diseases studied, and multisensors data fusion will be then applied for obtaining enhanced resulyts. A point of care prototype will be proposed on the basis of the results obtained and validated on-site.
Public Policy Living Laboratory

The participating regions have all decided to support as part of their ERDF Programme and RIS3 the field of “advanced materials”. This Key Enabling Technology complements the regional economic and research tissue with a stable opportunity for future growth and jobs. 6 regions/ countries (Bremen, Aquitaine, Podkarpackie, Piemonte, Denmark, Lithuania) cooperate with their local Stakeholders.

P2L2 applies interregional policy learning and exchange of experiences on important aspects influencing the regional innovation ecosystems in the field of advanced materials. Concrete aims are:

• Improving policy instruments supporting innovation ecosystem of advanced materials (support to RTD projects, cooperation between science and industry, the creation of infrastructures and mobilise actors for improving innovation ecosystems, networks, processes);
• Improving policy instruments related to the implementation and evaluation of the smart specialization strategies (reviewing the whole process for definition, implementation and evaluation of smart specialization strategies);
• Coordinate/ align regional policies and strategies between sectors in order to facilitate the establishment of real innovation ecosystems beyond administrative regional boundaries (for example in the triangle Bremen-Hamburg-Niedersachsen or Aquitaine - Limousin - Poitou-Charentes).

P2L2 goes beyond traditional 'good practice sharing' and results are expected not only to improve policy instruments selected for increasing growth and innovation rates. The project will deliver a “limited mapping” tool and add value by aligning S3 strategies within one field (Advanced Materials) between different regions to identify overlaps, gaps, complementarity and opportunities for European collaboration (including support from regional policy level). Therefore we involved 2 supra-European bodies and will organise a special “Action Plan Conference”.