SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Bio-modulators in platelet-rich plasma: a comparison of the amounts in products from healthy donors and patients produced with three different techniques.

Platelet-rich plasma consists of platelets concentrated in a small volume of plasma and constitutes a reservoir of bio-modulators potentially useful in tissue repair. The amounts of bio-modulators detectable in platelet-rich plasma prepared with various commercial or "in house" methods have been reported, but virtually all the analyses described have been performed on platelet-rich plasma derived from healthy donors. Since leucocyte contamination is technically unavoidable, we investigated whether platelet-rich plasma prepared from patients could contain different amounts of bio-modulators because of a possible activated status of the leucocytes.We evaluated platelet-rich plasma prepared with three different techniques (the commercial Vivostat and Biomet recover GPS II systems and an "in house" method) starting from whole blood from healthy donors and patients. Specifically, we compared the levels of sHLA-I, sFasL, platelet-derived growth factor, transforming growth factors-beta and vascular endothelial growth factor in the platelet-rich plasma releasates according to the method of preparation and to the immune system activation status of the subjects.With the exception of sHLA-I levels, no differences were found in the surrogate indices of lymphocyte activation between healthy donors and patients. No significant differences were found in sHLA-I, sFasL, platelet-derived growth factor, transforming growth factors-beta and vascular endothelial growth factor levels detectable in platelet-rich plasma produced with the three different methods in either healthy donors or patients.On the whole our findings indicate that the overall content of bio-modulators in autologous platelet-rich plasma is not influenced by T-lymphocyte activation status, at least in patients with uncomplicated femoral fractures. The amounts of sFasL and sHLA-I detected in all the platelet-rich plasma releasates studied were very small, far below the amounts detectable in all clinically available blood derivatives and absolutely insufficient to induce sHLA-I and/or sFasL mediated immunomodulation.
An inverse halftoning algorithm based on neural networks and UP(x) atomic function

Halftoning and inverse halftoning algorithms are very important image processing tools that have been widely used in digital printers, scanners, steganography and image authentication systems. Because such applications require obtaining high quality gray scale images from its halftoning versions, several inverse halftoning algorithms have been proposed during the last several years, which provide gray scale images with Peak Signal to Noise Ratio (PSNR) of about 25 to 28 dB. Although this may be enough for several applications, exist several other that require higher image quality. To this end, this paper proposes an inverse halftoning algorithm based on Upx atomic function and multilayer perceptron neural network. Experimental results show that proposed scheme provides gray scale images with PSNRs higher than 30dB independently of the method used to generate the halftone image.
Formation of black hole mergers in dense stellar systems

The recent pioneering observations of gravitational waves (GWs) from merging black holes (BHs) by LIGO/Virgo have already led to new remarkable insight: From the first few events we have learned that BHs do indeed exist, that Einstein's General Relativity (GR) seems to very well describe their merger and ring-down evolution, and that nature is able to pair BHs in compact binary systems. However, many astrophysical key questions still remain unsolved, including, how and where BHs form and what helps them to get close enough to merge on an observable timescale. The project I propose will provide new state-of-the-art insight into such fundamental questions by addressing how BBHs form and merge in dense stellar systems, as well as how well one can infer their origin from their emitted GW signal. In order to achieve this goal, I will develop a new numerical Monte-Carlo framework for evolving dense stellar systems, which for the first time will include: stellar tidal interactions and GR corrections during strong few-body scatterings, orbital diffusion from weak encounters, and secular effects near a possible central massive BH. From my recent analytical models, these effects are expected to lead to the formation of eccentric BBH mergers, as well as other exotic populations, all of which can be used to constrain the dynamical origins of BBHs. The goal is to provide the community with accurate BBH merger distributions that can be used to constrain the origin of BBH mergers using incoming data from LIGO/Virgo. I will carry out the project at the Niels Bohr Institute under the supervisions of Prof. Martin Pessah and Niels Bohr Prof. Enrico Ramirez-Ruiz. The interdisciplinary environment, vibrant atmosphere, and exceptional scientists make the Niels Bohr Institute not only the ideal host for this project, but further ensures that I will mature into a true intellectual leader in my field during the time of the Marie Curie Fellowship.
Achat de pompe à béton, condenseur d’émulsion bitumineuse, infrastructure de serveur et logiciel de gestion d’entreprise pour augmenter la qualité des services Bud-Trans.

L’objet du projet est l’achat de machines et de logiciels innovants, ce qui permettra d’augmenter la qualité des services fournis par Bud-Trans. Dans le cadre de l’investissement, la requérante prévoit d’acheter des immobilisations sous la forme d’une pompe à béton, d’un condenseur d’émulsion bitumineux et d’une infrastructure de serveurs, ainsi que d’actifs incorporels sous la forme de logiciels de gestion d’entreprise. Un condenseur avec réglage automatique très précis et efficacité de condensation sera acheté. Cela permettra non seulement une amélioration significative de la qualité des services routiers fournis, mais aussi la fourniture de services de condensation à des entités externes. L’achat d’une pompe à béton permettra à la fois une amélioration fondamentale de la qualité et de l’efficacité de la production de béton (capacité allant jusqu’à 160 m³/h) et la mise en œuvre d’un nouveau produit — béton léger pompable jusqu’à 1 200 kg/m³, non encore disponible dans la Voivodeship de Łódzkie, à l’offre Bud-Trans). La mise en œuvre du projet permettra de mieux répondre aux besoins des entités qui sont le groupe cible pour Bud-Trans, c’est-à-dire les unités budgétaires, les entreprises de construction et les clients privés. L’objectif premier du projet d’investissement est d’accroître l’innovation et la compétitivité de Bud-Trans sur les marchés locaux et nationaux. La diversification de l’offre augmentera la compétitivité de l’entreprise, contribuant à la croissance des revenus. Effets tangibles prévus obtenus dans le cadre du projet: 1. Nombre d’entreprises bénéficiant d’une aide et d’une subvention — 1 pc. 2. Investissements privés complémentaires du soutien public aux entreprises (subventions) — PLN 1,163546,90 3. Nombre d’entreprises soutenues pour introduire de nouveaux produits pour le marché et pour l’entreprise — 1 pc. 4. Nombre d’entreprises soutenues par l’investissement — 1 pc. 5. Nombre d’entreprises soutenues dans le domaine de l’éco-innovation — 1 pc. Résultats prévus du projet: 1. Nombre de résultats B+ mis en œuvre
An Explicit Nonlinear Mapping for Manifold Learning

Manifold learning is a hot research topic in the held of computer science and has many applications in the real world. A main drawback of manifold learning methods is, however, that there are no explicit mappings from the input data manifold to the output embedding. This prohibits the application of manifold learning methods in many practical problems such as classification and target detection. Previously, in order to provide explicit mappings for manifold learning methods, many methods have been proposed to get an approximate explicit representation mapping with the assumption that there exists a linear projection between the high-dimensional data samples and their low-dimensional embedding. However, this linearity assumption may be too restrictive. In this paper, an explicit nonlinear mapping is proposed for manifold learning, based on the assumption that there exists a polynomial mapping between the high-dimensional data samples and their low-dimensional representations. As far as we know, this is the hrst time that an explicit nonlinear mapping for manifold learning is given. In particular, we apply this to the method of locally linear embedding and derive an explicit nonlinear manifold learning algorithm, which is named neighborhood preserving polynomial embedding. Experimental results on both synthetic and real-world data show that the proposed mapping is much more effective in preserving the local neighborhood information and the nonlinear geometry of the high-dimensional data samples than previous work.
Type-2 fuzzy event parallel computing system: Overcoming computer int index limitation in big data

The management of data resources and the int index limitation of computers is always a great bottleneck in big data. For example, ARIMA is one of the most important statistical models. For the int index limitation, in 32-bit computers, the maximum seasonality supported by ARIMA is 350, or ARIMA will run out of memory; this bottleneck cannot be overcome by increasing the computer's memory. In this paper, a new fuzzy system model - a type-2 fuzzy event parallel computing system is proposed with novel type-reduction computational optimisation technique and J ? -plane type-2 fuzzy probabilistic parallel computing, to overcome the bottleneck. Being different from conventional fuzzy logic systems whose inference engine are based on IF-THEN rules, the new system incorporates statistical inference with type-2 fuzzy events. The system extends ARIMA to provide unlimited maximum seasonality support, at the same time, it retains the benefits of ARIMA in accurate computing and the specialties of fuzzy logic in uncertainty modelling. The system is applied in real world long period uncertain data-intensive seasonal time series - Wireless Soft-Switch CAPS (Call Attempt Per Second) forecasting. As a series of concepts, algorithms, experiments and results prove, a type-2 fuzzy event parallel computing system is viable in practice, which realises fuzzy system models evolve from the models based on IF-THEN rules to the models incorporating statistical inference with type-2 fuzzy events.
Visiting the margins. innovative cultural tourism in european peripheries

Tourism is more than travelling and consumption; it has great potential when it comes to culture, nature, knowledge and personal experiences. Travelling is a way to learn and improve oneself, to enrich one’s vision and improve mutual understanding.
The INCULTUM project deals with the challenges and opportunities of cultural tourism with the aim of furthering sustainable social, cultural and economic development. It will explore the full potential of marginal and peripheral areas when managed by local communities and stakeholders. Innovative participatory approaches will be adopted, transforming locals into protagonists, able to reduce negative impacts, learning from and improving good practices to be replicated and translated into strategies and policies. Furthermore, INCULTUM fosters intercultural understanding through the implementation of bottom-up strategies that can have positive effects for both, locals and tourists.
Ten pilot cases of living territories and communities will be investigated and on the basis of the findings innovative customised solutions will be co-created. Additionally, pilots will be used to identify and compare drivers and barriers that account for the success or failure of participatory models. Pilots will also enable us to assess outcomes and analyse the pre-conditions needed for a future full implementation and scaling up of potential solutions.
Pilots will provide new quantitative and qualitative data that will be combined with official statistics and novel data gathered by the use of self-developed IT applications and the exploitation of previously untapped data sources. The implementation of advanced econometric methods and the pioneering introduction of machine-learning tools into tourism research will push the boundaries of our knowledge. Findings will enable us to suggest recommendations for effective and sustainable policies, create new synergies among public and private stakeholders and new investments, including Structural Funds
Disrupting literacy content creation platform for educators enabling adaptive and flexible learning  for kids

This is a re-submission of the last call, having improved the weak points (attached ESR after section 5).

The UNESCO found that at least 250 of the world’s 650 million primary school age children are unable to read, write or do basic mathematics even if they are in primary school (130 million). Furthermore, they calculated that the cost of 250 million children around the world not learning translates to a loss for governments of around 120 billion euros annually.
 myABCKit aims to democratize the access to innovative literacy learning methodologies based on Maria Montessori’s methods (That usually are quite expensive not accesible for everyone). Using new ICT methodologies to revolutionize and empower new kids formal and non-formal education methodologies based on teaching HOW to think instead of WHAT to think.
myABCKit is accessible from any device and is based in three main areas around the adaptive learning overall concept:
• Content  creation tools for educators to be able to personalise content in terms of context, interest, familiarity and language.
•  New business models around literacy content through a marketplace where educators and schools can monetize their creativity.
• Play-based exercises focused on literacy for kids: vocabulary, grammar, reading and comprehension of one or more
languages for K-12 students.
• Learning analytics foe schools and educators in order to know the evolution and early detection of learning disabilities to improve their academic results by applying adaptive learning.
Thanks to myABCKit disruptive app, the market opportunities and the EC support, it is expected to reach over 1 million kids
and generate over 100 million EUR in revenues in 2022. Moreover, the results of this project will catapult myABCKit as a
leader in the global adaptive e-Learning market, the first play-based literacy-learning app for kids maximizing the benefits of
ICT and Montessori’s methodology in a unique, smart and friendly ecosystem.
Innovative Cross Border Tourism SMEs Cluster

IT-AL-MO area is affected by direct and indirect consequences of the global economic crisis. A common economic strenght is the tertiary sector with specific reference to tourism facilities. SMEs play a crucial role for growth and job creation,but their competitiveness has a limited exploitation of international tourism opportunities.In this context the project aims to promote networking growth and to strengthen specific skills of the SMEs in the elegible area.The overall project’s objective is the improvement of the competitiveness, cooperation of IT-AL-MO SMEs through the creation and implementation of one innovative cross-border tourism cluster (INNOTOURCLUST) focused on the integration and training of local economic operators for a better and innovative match of local enterprises with international tourism industry.The expected change is an innovative way to look at tourism industry.Tourism business should be more organized and integrated with local SMEs (agriculture, fisheries, sea-based services, handicraft, Ho.re.ca, eco-sport and social organizations) in order to meet the growing international “tourism experiences” demand and putting the tourists in touch with local enterprises and producers.INNOTOURCLUST is an innovative cluster model that offers business additional income opportunities for local SMEs.The project’s main outputs are: n.1 Cluster created (100 SMEs involved), n.8 business agreements (20 SMEs involved), n.4 workshops (40 SMEs involved), n.1 capacity building digital lab format (20 business institutions involved), n. 4 B2B events (40 SMEs involved).The project’s area has great tourism chances but local tour operators generally work just through classic tourism-related stakeholders, missing the opportunity to build-up innovative touristic products created in close contact with different type of local enterprises. The approach aims to enhance the framework conditions and jointly managed innovative pilot "travel experiences" services and products.
Next level real-time characterisation of li- and na-ion batteries by – automatic tuning matching cycler (plus goniometer) – atmc(+g) in situ nmr

Concerns about finite energy resources and the need to decrease greenhouse gas emissions have increased the use of intermittent renewable energies on the electric grid. This is not without its challenges requiring more efficient ways to store electrical energy to balance demand with supply. Li-ion batteries (LIBs) are the most desirable form of energy storage (high energy / power densities) but an increasing demand of Li commodity chemicals combined with geographically-constrained reserves will drive up prices in the future. Due to the high abundance, low costs and very suitable redox potential, Na-ion batteries (NIBs) should open new avenues of research and engineering as complementary alternatives to LIBs. This shift has to be accompanied with a deeper understanding of the chemical reactions involving the multiple cell components.
The proposed project focuses on a next step of in situ NMR spectroscopy, offering the unique possibility of non-invasive real-time studies of batteries under operating conditions – to track the formation of intermediate phases and investigate electrolyte decomposition during cycling of LIBs and NIBs. Significantly different shifts of the multi-component samples, resonance broadening as well as interferences of the NMR and external battery cycler (EBC) circuit impair the experiments. Hence, we will set up a novel NMR probe system allowing “on-the-fly” adjustment of the NMR circuit during the measurement and sample orientation changes via an automated goniometer. Moreover, an entirely new NMR-EBC-connection design will benefit the real-time experiments. This next level Automatic Tuning Matching Cycler (plus Goniometer) – ATMC(+G) – in situ NMR approach will be established in a comparative study on lithium vs. sodium iron phosphate cathodes in LIBs and NIBs, respectively, including the application of new electrolytes to improve battery safety and cost factors. The application to a wider range of systems will include Na-Sn anodes for NIBs.
Country-of-origin (COO) brand loyalty and related consumer behaviour in the Japanese wine market

Purpose – The purpose of this study was to examine the loyalty of Japanese consumers to country-of-origin (COO) wine brands and how this affects purchasing behaviour. Design/methodology/approach – A multi-dimensional COO brand loyalty scale was developed containing attitudinal (psychological) and behavioural loyalty dimensions. A total of 173 responses were collected using a structured self-administered questionnaire in the Japanese language. Findings – Japanese wine consumers have moderate levels of COO brand loyalty, with high levels of satisfaction, moderate-high levels of inertia and price sensitivity and moderate levels of word-of-mouth, emotional attachment, commitment and purchase intent. Furthermore, 46 per cent of respondents exhibited true COO brand loyalty. The conceptual definition of COO wine brand loyalty proved to be sound with a high level of measurement scale reliability (a = 0.884). Practical implications – The findings provide insights into the Japanese wine market and the nature of Japanese wine consumer behaviour. Wine exporters should focus greater marketing efforts on Japanese women, including more wine-specific education. Originality/value – It is the first study to develop a multi-dimensional COO wine brand loyalty scale that includes psychological (cognitive, conative and affective attitudinal components) and behavioural loyalty dimensions for the Japanese wine market.
CABLE DRIVE HAVING A SHEATHED TRACTION ELEMENT

The invention relates to a cable drive which, in particular, is suitable for cranes or mass-produced hoists and which comprises a drum (1) and a traction element (2a; 2; 2a), which runs on the drum (1). The traction element (2a; 2; 2a) comprises at least one load-bearing element (21; 22; 21a-21d) and is at least partly surrounded by a sheath (22), which preferably consists of a polymer, in particular preferably of a thermoplastic and/or elastomer. At least part of the sheath (22) constitutes the contact surface of the traction element (2a; 2; 2a).
Shorter Leukocyte Telomere Length in Midlife Women with Poor Sleep Quality

Background. Accumulating evidence supports leukocyte telomere length (LTL) as a biological marker of cellular aging. Poor sleep is a risk factor for age-related disease; however, the extent to which sleep accounts for variation in LTL is unknown. Methods. The present study examined associations of self-reported sleep duration, onset latency, and subjective quality with LTL in a community-dwelling sample of 245 healthy women in midlife (aged 49-66 years). Results. While sleep duration and onset latency were unrelated to LTL, women reporting poorer sleep quality displayed shorter LTL (r = 0.14, P = 0.03), independent of age, BMI, race, and income (b = 55.48, SE = 27.43, P = 0.04). When analyses were restricted to participants for whom sleep patterns were chronic, poorer sleep quality predicted shorter LTL independent of covariates and perceived psychological stress. Conclusions. This study provides the first evidence that poor sleep quality explains significant variation in LTL, a marker of cellular aging.
Predator–prey interaction with harvesting: mathematical study with biological ramifications

In this article, we study a simple predator–prey interaction where predator population is subjected to harvesting. Our qualitative analysis shows different outcomes including switching of stability, oscillations and deterministic extinction. Theoretically observed results have been tested with the parameter values of Paramecium aurelia and its predator Didinium nasutum . Study reveals that harvesting effort and predator’s attack rate may be used as control parameters for the system. Simulation results also indicate that the system may exhibit bistability for some parametric region. Our study also gives the possible answer to the question – why do we frequently observe coexisting predator–prey system in natural system? The study may be helpful to design control strategy for harvested predator–prey system.