SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Adriatic Governance Operational Plan

The project AdriGov - Adriatic Governance Operational Plan – will provide a significant contribution to the enhancement of cross border cooperation in the Adriatic-Ionian by focusing on two main objectives: - Promote the adoption of an innovative and participated Adriatic Governance Operational Plan designed to constitute an effective governance model in the area; - Implement knowledge-transfer actions to enhance information and awareness on European integration and EU accession with a view to improve the knowledge and skills of representatives of the involved local and regional authorities. Furthermore, effective training programmes will be structured to improve their EU funding management and their administrative expertise. To achieve the first objective, the above-mentioned Adriatic Governance Operational Plan a peculiar political process will be established: Firstly, the draft Operational Plan will be outlined and approved by a Thematic Committee participated by all AdriGov regional and local partners. Secondly, it will be discussed in the elective assemblies of the involved local communities in order to broaden participation and ensure the inclusion of AdriGov objectives into the regional and local policy-making process. As an outcome, this multi-level and participated political process is likely to have a tangible impact in the definition of subnational and regional policies of the involved actors, especially in relation to the local communities situated in countries in the process of accessing the EU such as Croatia. Furthermore, the agreed AdriGov Operational Plan and all relevant approved documents will be presented to a wider audience and discussed with the European Commission as an essential contribution to the definition and implementation of a proper EU strategy for the Adratic-Ionian. Moreover, as its second objective, AdriGov will also provide a determinant contribute to the imminent EU enlargement to the Adriatic by preparing regional and local administrations towards the improvement in their capacity to implement EU financial instruments – in particular related to the EU Cohesion Policy - through relevant training programmes and effective process of know-how transfer. The expected result is an increase of EU funds absorption capacity of the regional and local authorities participating to AdriGov.
The new quasi-geoid model IRQG09 for Iran

Iran is a mountainous country with large lateral density variations of its crust. Constant density value is commonly used to determine the geoid models as well as topographic corrections. The effect of lateral density variation in the geoid can reach up to 14 cm in Iran which is not negligible in a precise geoid modelling. Also, the current height datum of Iran is based on the orthometric system but the effect of gravity variation was not applied in height parameter. Furthermore, the height systems of most neighbouring countries are defined as normal height. Connection of networks can be useful for the unification of height datum, geodynamics researches and optimal adjustment of levelling network. The new quasi-geoid model based on a recent EGM2008 global geo-potential model was created to solve the mentioned problem. The main purpose of the present study is to discuss the results of a research project in which a gravimetric quasi-geoid model for Iran was computed based on the least-squares modification of Stokes' formula. The evaluation is made using 475 GPS/levelling height anomalies covering the major parts of the country except the mountainous areas to the North and West. After a 7-parameter fit, the most promising attempt achieved a RMS value of 19 cm for the residuals based on the GPS/levelling data. ► Lateral density variation in the geoid can be reach up to decimeter level in Iran. ► Unification of height systems by normal height is useful for optimal adjustment of heights in Iran. ► Using of normal heights system is useful for tectonic deformation analysis. ► The least-squares modification of Stokes' formula gives the optimum results in quasi-geoid modelling in Iran.
A PRODUÇÃO ANIMAL DA AGRICULTURA FAMILIAR NA RESERVA EXTRATIVISTA CAZUMBÁ – IRACEMA, ACRE, BRASIL

Objetivou-se caracterizar o perfil socioeconômico dos agricultores familiares, o modo de produção animal e aquisição de alimentos de origem animal na Reserva Extrativista Cazumbá – Iracema. Por meio de entrevistas utilizando-se questionários semi estruturados. Constatou-se que 48,0 % dos entrevistados são do sexo feminino e com faixa etária entre 20 e 29 anos. Dos entrevistados 60,0% possuem ensino fundamental incompleto e apenas 6,7% o ensino superior completo; 60,0% dos entrevistados responderam que a renda principal vem do programa bolsa família-PBF; as principais dificuldades relatadas foram assistência técnica deficiente, falta de crédito e regime de chuvas, correspondendo a 70,0; 43,0 e 13,0%, respectivamente. Predominam na reserva a criação de aves; equinos; ovinos; suínos; asininos; muares e peixes, representando 80,0; 13,0; 10,0; 6,6; 6,6; 3,3 e 3,3%, respectivamente, a produtividade e lucratividade nas criações são baixas em razão do manejo sanitário e nutricional ineficiente adotado e baixo nível tecnológico. Portanto, é necessário transferência de conhecimentos entre os órgãos de pesquisa, ensino e extensão, e os agricultores, visando o melhoramento dos seus sistemas de produção.
General practitioner registrars’ experiences of multisource feedback: a qualitative study

To explore the experiences of general practitioner (GP) specialty training registrars, thereby generating more understanding of the ways in which multisource feedback impacts upon their self-perceptions and professional behaviour, and provide information that might guide its use in the revalidation process of practising GPs.Complete transcripts of semi-structured, audio-taped qualitative interviews were analysed using the constant comparative method, to describe the experiences of multisource feedback for individual registrars.Five GP registrars participated. The first theme to emerge was the importance of the educational supervisor in encouraging the registrar through the emotional response, then facilitating interpretation of feedback and personal development. The second was the differing attitudes to learning and development, which may be in conflict with threats to self-image.The current RCGP format for obtaining multisource feedback for GP registrars may not always be achieving its purpose of challenging self-perceptions and motivating improved performance. An enhanced qualitative approach, through personal interviews rather than anonymous questionnaires, may provide a more accurate picture. This would address the concerns of some registrars by reducing their logistical burden and may facilitate more constructive feedback. The educational supervisor has an important role in promoting personal development, once this feedback is shared. The challenge for teaching organisations is to create a climate of comfort for learning, yet encourage learning beyond a 'comfort zone'.
Dust and gas in planet forming discs

Planet formation is a widespread by-product of the process of star formation itself and occurs within relatively thin and dense protostellar discs made of gas and dust that orbit the newborn star. Such discs can now be probed with unprecedented detail thanks to high resolution telescopes and instruments, such as the Atacama Large Millimeter Array (ALMA) at sub-millimeter wavelegths or the SPHERE instrument at the Very large telescope (VLT) in the near infrared, which are both capable of probing nearby star formation regions with a spatial resolution of a few astronomical units.
The overall aim of this project is to to strengthen the collaboration of groups located in Europe, USA, Chile and Australia - many of them already collaborating actively - in order to (1) develop and use suitable numerical algorithms and techniques to address key unsolved issues related to the interaction of newborn planets with the gas and dust environment in which they are born and (2) to compare such models with the most advanced observations of protostellar discs, obtained with high resolution telescopes in the IR and sub-mm.
5G enhanced mobile broadband access networks in crowded environments

The 5G era will offer diverse services and applications beneficial to societies in Europe and Japan, such as connected cars, eHealth, smart factory, and public safety. The development of the air interfaces (AIs) have followed to paths: the evolutionary path and the revolutionary path. This leads to a variety of possible AIs. An operator will only own a subset of the overall suite of AIs, increasing the need to enhance network performance significantly. Considering these needs, the focus of the 5G-Enhance project is on the definition and evaluation of interoperable 5G eMBB and efficient network solutions in dense area. 5G-Enhance will develop, plan and execute large scale trial activities on actual testbeds in EU and Japan. 5G-Enhance will execute two large scale trials with eMBB in crowded environments (dense area) to show the feasibility of the applications based on 5G network. The focus is on two specific applications in the context of enabling healthy lifestyle: The first application is 3D remote class for a real-time surgery that will be implemented in the Demo-1 (Trial 1).The second application is ad-hoc outdoor sport event to be implemented in the Demo-2 (Trial 2). The two demonstrations have different requirements. Demo-1, requires very high data rate, and supporting many users with low mobility and Demo-2 requires high data rate and supporting a massive number of users with high mobility. Integrated trial between Japanese and European partners will demonstrate the interoperability between Japanese and European facilities. 5G-Enhance will develop innovative mobile broadband technologies in order to enhance existing solutions towards better provision of 5G KPIs in dense eMBB scenarios. 5G-Enhance employs two key components, namely flexible and scalable network design and implementation and enhanced spectrum resource management.
A randomized algorithm for natural object colorization

Natural objects often contain vivid color distribution with wide variety of colors. Conventional colorization techniques, on the other hand, produce colors that are relatively flat with little color variation. In this paper, we introduce a randomized algorithm which considers not only the value of target color but also the distribution of target color. In essence, our algorithm paints a color distribution to a region which synthesizes color distribution of a natural object. Our approach models the correlation between intensity and color in HSV color space in terms of H - S, H - V and S - V joint histogram. During the colorization process, we randomly swap and reassign color of a pixel to minimize a cost function that measures color consistency to its neighborhood and intensity-to-color correlation captured in the joint histogram. We tested our algorithm extensively on many natural objects and our user study confirms that our results are more vivid and natural compared to results from previous techniques.
Azathioprine Increases Intramucosal FOXP3+ T Cells in IBD

For nearly fifty years, azathioprine has been a reliable therapy for IBD. However, the mechanism by which this purine antimetabolite controls intestinal inflammation remains obscure. FOXP3+ regulatory T cells (Tregs) are critical for limiting intestinal inflammation in mice and humans, so we evaluated the effect of azathioprine on intramucosal FOXP3+ Treg frequency. A blinded, cross-sectional, retrospective analysis of archived colon biopsies from IBD patients was performed. Using immunohistochemical (IHC) quantification of FOXP3+ and CD4+ T cells, we found that a significantly higher percent of CD4+ T cells were FOXP3+ in the mucosa of patients taking azathioprine at the time of biopsy. This increase was primarily due to a decrease in the relative number of CD4+, but not FOXP3+, T cells in the mucosa of azathioprine recipients. To determine the effect of azathioprine on FOXP3+ versus FOXP3T cells In Vitro, we cultured T cells from healthy donor blood in the presence or absence of 6-thioguanine nucleotide (6-TGN)—the active metabolite of azathioprine. We found that the proliferation of both naive and effector/memory CD4+ T cells was inhibited by similar concentrations of 6-TGN. Likewise, proliferation of both FOXP3+ and FOXP3T cells was inhibited by similar concentrations of 6-TGN, in the presence or absence of IL-2. However, de novo activation-induced expression of FOXP3 in sorted CD25T cells was much less sensitive to inhibition by 6-TGN. Thus, 6-TGN was able to dissociate FOXP3 induction fromT cell proliferation.We hypothesize that azathioprine selectively enriches FOXP3+ T cells in the inflamed bowel by inhibiting T cell proliferation without inhibiting induced expression of FOXP3. Such local enrichment of induced Tregs (“iTregs”) may be a major mechanism by which azathioprine controls intestinal inflammation in IBD.
Prospects for Epigenetic Compounds in the Treatment of Autoimmune Disease

There is growing evidence for a role for epigenetic mechanisms in the development of autoimmune diseases. In most cases of autoimmune disease the precise epigenetic mechanism involved remains to be resolved, however DNA hypomethylation accompanied by hypoacetylation of histone H3/H4 is commonly observed. Due to the reversible nature of epigenetic marks their maintenance enzymes such as DNA methyltransferases (DNMTs), histone deacetylases (HDACs) and histone lysine methyltransferases (HKMT) are attractive drug targets. Small molecule inhibitors of histone modification and DNA methylation maintenance are increasingly becoming available and will be useful chemical biological tools to dissect epigenetic mechanisms in these diseases. However, although epigenetic therapies used in cancer treatment are a promising starting point for the exploration of autoimmune disease treatment, there is a requirement for more specific and less toxic agents for these chronic diseases or for use as chemopreventative agents.KeywordsLase InhibitorHuman Rheumatoid Synovial CellHistone DeacetThese 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.
Integrated spectrometers for spectral tissue sensing

Image-guided needle procedures - such as taking biopsies in screening cancerous tumours - are becoming increasingly important in clinical practice. Today, physicians are severely hampered by the lack of precision in positioning the needle tip. Real-time tissue-characterization feedback at the needle tip during these procedures can significantly improve the outcome of diagnosis and treatment, and reduce the cost of oncology treatment. Spectral tissue sensing using photonic needles has the promise to be a valuable diagnostic tool for screening tumours, as shown by several clinical trials. However, for widespread adoption the cost and size of these photonic needle systems - in particular the spectrometer console - needs to be improved dramatically. The realization of a low-cost miniature system is limited by three key challenges:
• Broadband (VIS+NIR) illumination
• Broadband (VIS+NIR) sensitivity
• Integration of the system
InSPECT will address these challenges by developing and integrating photonic building blocks for low-cost miniaturized spectral tissue sensing devices. This involves the realization of a miniature broadband (400-1700 nm) solid-state light source, based on phosphor and quantum-dot converted LEDs, and the realization of a miniature low-cost integrated VIS+NIR spectrometer. For the spectrometer integration we will follow 2 approaches: 
• The micro-spectrometer, a moderate risk approach based on the miniaturisation and monolithic integration of diffractive dispersive elements and VIS+NIR photo-detectors in a small volume (cubic inch) device, and 
• The nano-spectrometer, a higher risk approach in which the spectrometer function is realized in a photonic integrated circuit (PIC) based on transparent SiO/SiN waveguide technology. 
This is a unique, novel, and timely approach to realize the key photonics building blocks for low-cost miniature spectrometers that will drive the adoption of spectral sensing in applications that were not accessible before.
Parallel-Plate Waveguide Terahertz Time Domain Spectroscopy for Ultrathin Conductive Films

Development of techniques for characterization of extremely thin films is an important challenge in terahertz (THz) science and applications. Spectroscopic measurements of materials on the nanometer scale or of atomic layer thickness (2D materials) require a sufficient terahertz wave–matter interaction length, which is challenging to achieve in conventional transmission geometry. Waveguide-based THz spectroscopy offers an alternative method to overcome this problem. In this paper, we investigate a new parallel-plate waveguide (PPWG) technique for measuring dielectric properties of ultrathin gold films, in which we mount the thin film sample at the center of the waveguide. We discuss a model of THz dielectric parameter extraction based on waveguide theory and analyze the response of thin films for both transverse magnetic (TM) and transverse electric (TE) waveguide modes. In contrast to other waveguide methods, our approach enables comparison of the material response with different electromagnetic field distributions without significantly changing the experimental setup. As a result, we demonstrate that TE modes have a better sensitivity to the properties of the thin film. For prototype test samples, optical parameters extracted using our method are in good agreement with literature values.
PERANCANGAN TANGKI BERTEKANAN UNTUKMENYIMPAN BIOGAS DENGAN SISTEM KOMPRESI

This aims of the research is to examine the performance of pressurised
vessel. It is used as biogas holder. Biogas in its is fuel for genzet. Pressurised
vessel is designed with ASME standard and it have internal pressure of 12 bar.
Besides considering outlet pressure of biogas to genzet is 0.025 â�� 0.1 bar with
pressure adjusting of regulator.
Results of design are dimension of pressurised vessel including shell
diameter of 310 mm, length of 1100 mm, and shell thick of 6 mm. Head of
pressurised vessel vessel uses ellipsoidal shape. Test of perfomance with
compressing air and biogas use reciprocating compressor into pressurised vessel.
The specification of reciprocating compressor has 2 cylinders, bore of 46.7 mm,
single acting with cooling of air. The prime mover is spark ignition engine with
power of 3.5 HP. From this research, compressor is used to compress of air and
gas until absolute pressure of 6 kg/cm2.
Compression is analyzed with process of adiabatic, polytropic, and
isothermal. The compression testing of air is got volumetric eficiency of 82 %. on
709.9 rpm. Air flow from compressor is less when raising of pressure on
pressurised vessel and flowing the highest of 0.18 m3/minutes at pressure of 1kg/cm2. At process of polytropic power is less than process of adiabatic. From
testing is got polytropic power of 0.36 kW and adiabatic power of 0.41 kW. If it is
compared with isothermal approach it gets the most power of 0.328 kW. The
testing uses biogas, compression of pressurised vessel to the absolute pressure of
6 kg/cm2 is got compression characteristic not different with using air.
An ai assistant using proprietary unsupervised algorithm(s) to automatically analyse large volumes of complex data to detect anomalies and recognize patterns in real time

Streem.ai is an AI anomaly detection tool for large volumes of time series data in real time. Its unsupervised machine learning enables identification of “new anomalies” without the need for annotated data.

Our unique selling point is that Streem.ai identifies outliers and unusual behaviour using algorithms that are selected through our proprietary benchmarking algorithm. As a result, our users can benefit from an up to 85% reduction in time spent on data analysis, analysis of 100% of the available data and improved detection rate of previously unknown anomalies.

The gap between the rate at which data is being collected and how fast it can be analysed is increasing exponentially, contributing to business insight latency amongst analysts and engineers in sectors as varied as manufacturing to healthcare. E.g. in the automotive industry, anomalies that go undetected can result in defective components going unnoticed until after market launch. In 2016 alone, defective components cost the car industry a record $22 billion through car recalls. The market size for testing in the automotive sector is now expected to grow at a CAGR of 5.02% from €15.9B in 2017 to €24.3B in 2023.

Given the COVID-19 pandemic that the world is facing, Streem.ai’s core technology can aid with more quality and efficient virus testing by monitoring diagnostic machines and analysing test results to identify patterns for research. One of our successfully completed pilot projects was with Roche diagnostics, the project involved monitoring the Analyzer machine data. 

This project is being undertaken by Streem.ai GmbH based in Berlin. The CEO & one of the co-founders previously founded Plastelina which peaked 1.5m unique monthly visitors in 2000 representing 0.6% of all internet users then. The team has 12 employees of which 4 have PhDs. Through the Streem.ai project the company expects to create 18 new jobs and generate cumulative first 5 year profits of €18.84 million with a ROI of 493%.
Real Time Detection of Repeated Structures in Point Clouds of Urban Scenes

Laser range scanners provide rich 3D representations of urban scenes. These scenes are replete with repetitive architectural features such as windows, balconies, and cornices. Processing of dense 3D images is often computationally intensive and occurs offline after acquisition. Here, however, we present an online algorithm for the detection of repetitive features in 3D range scans. Our algorithm creates a function from each scan line by deriving a local measure at each point. Computing the Fourier transform of that function reveals the periodicity of the scene. This robust algorithm forms the basis for novel methods of feature extraction, compression, and registration. What is more this whole process can be executed on-the-fly and integrated into hardware transforming laser scanners into architecture aware devices.