SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Tunnel fire stopper or tfs shortly

The prime objective of the innovation project is to finalize the development of the “TUNNEL FIRE STOPPER” or TFS. A
system is designed to combat fire in tunnels. It moves on a monorail installed on the arch of the tunnel where lights,
ventilation, warning signs and the like are no longer a problem. It works automatically or is controlled remotely to arrive to fire
and disperse the extinguishing agent that is carried in a tank with it, transported to fire thus successfully extinguishing the
fire. The TFS trolley has an extinguishing cannon which moves 240° vertically and 360° horizontally so the installation is not
a problem. TFS is appropriate for tunnels which are high enough and is not suitable for every tunnel. However it is certainly
appropriate for modern tunnels, for example it is appropriate for all tunnels in Slovenia. TFS trolley can be adapted to make it
slimmer by making it longer. Our customers are road tunnel operators not just EU wide but globally. The key market
application is the service to equip the tunnel with this solution. Based on our preliminary search there are 288 tunnels longer
than 1,5km just EU wide and further 60 are in construction globally. With the installation of the TFS our clients will be able to
start combating fire in a matter of minutes. In phase 1 we specifically define the exact number of tunnels, segment them, list
them in ordering of appropriateness to target, a full freedom to operate analysis is done and more. We will apply for phase 2
funding after feasibility study clearly shows the economic viability of the project.
Drive in anchoring device.

In a drive-in anchoring device, a bolt (1) with a tab can move in a longitudinally slotted sleeve (2) such that its tab (4) slides in a longitudinal slot (6) and abuts onto the plane surface of a disc, producing forced spreading. <IMAGE>
Effective factorisation techniques for matrix-functions: developing theory, numerical methods and impactful applications

The main goals of the EffectFact proposal are 
a) to advance pure and applied mathematics in the area of factorisation techniques, Wiener-Hopf and Riemann-Hilbert problems and related numerical techniques to solve time dependent boundary value problems in complex discrete and continuous domains; 
b) to utilize the developed techniques to solve challenging problems from: i) biomechanics (DNA replication), ii) medicine (surgical resection and dentistry), iii) metamaterials (acoustic and gyro-elastic), iv) AI (machine learning), v) environmental and civil engineering (with a focus on earthquake and coastal defences) and, in doing so,
c) to establish a new, sustainable, EU-centred network of researchers from different sectors and disciplines, united by their dedication to furthering the projects techniques and results, while transferring this knowledge, best practice and creating new training opportunities for EU researchers.
The EffectFact Consortium consists of 16 Partners: 7 Universities from the EU (UK, France, Germany, Italy), 1 University from the AC (Georgia); 2 highly innovative software developing SMEs adopting completely different R&D strategies (UK, Switzerland); 4 Academic Partners from the Third Countries (Belarus, China, Russia) and 1 research medical center from outside the EU (Belarus). 
All EffectFact goals align with the RISE Objectives, establishing a unique consortium to fill gaps in several scientific disciplines, impacting H2020 priorities and Horizon Europe missions. These problems could not be solved independently, requiring continuous feedback from analytic, applied and computational researchers from numerous disciplines. This diverse collaborative Network will forge interdisciplinary links within the EU, strengthen the access of EU academics and SME’s to international research, lead to tangible and impactful results, while building a strong base of robust, independent researchers capable of furthering the aims of EffectFact long into the future
GIS Based Analysis of Biophysical and Socio - Economic Factors for Land Degradation in Kandaketiya DS Division

Soil erosion is one of the major factors that contributes to land degradation in the up and mid country of Sri Lanka. It is important to assess the rate of soil erosion under different environmental and socio-economic contexts to identify and apply suitable management interventions. A number of parametric models have been developed to predict soil erosion at drainage basins. Yet Universal Soil Loss Equation (USLE) is the most widely used empirical equation for estimating annual soil loss from small agricultural lands. This study was carried out with the objective of developing a land degradation assessment model using a geospatial approach. The study area was Kandaketiya DS division in Badulla district. USLE together with some socio - economic factors were used to develop the model for predicting land degradation. Slope length (L) and slope gradient (S) factors were derived from Digital Elevation Model. Rainfall erosivity (R) factor was determined using a correlation developed for Sri Lanka in a past research. Soil erodibility (K) factor was derived from the soil map. Crop management (C) factor and Erosion control practices (P) factor related to land cover derived from remotely sensed data taken from the literature. Annual soil erosion was computed using the above factors. The computed soil erosion map was coupled with the socioeconomic factors on population density, agricultural land to man ratio, land to man ratio and number of Samurdhi beneficiaries to assess the land degradation severity. The results showed that marginal tea lands are the highest contributor to soil loss in the study area. According to the study, soil erosion and population density contributed more to the land degradation. A strong negative relationship was found between land degradation and land to man ratio. DOI: http://dx.doi.org/10.4038/tar.v21i4.3312 TAR 2010; 21(3): 361-367
Participación de COLOR SET en ferias extranjeras

Como parte del proyecto, COLOR SET participará en la feria seleccionada en dos años consecutivos. Es la mundialmente famosa feria Hannover Messe, que se centra en las nuevas tecnologías. Color SET expondrá su propio sistema modular FILIP y nuevos prototipos que hemos desarrollado recientemente. Estableceremos la cooperación con nuevos clientes de Alemania y países no pertenecientes a la UE, donde nos centramos principalmente en Rusia y Turquía. El resultado será un aumento en el volumen de negocios y la cuota de exportación de nuestra empresa.
VMBKS: a shared memory cache system based on booting kernel in cloud

In Infrastructure-as-a-Service clouds, virtual machine provisioning time is an important metric for evaluating the quality of service (QoS) provided by the service providers. VM provisioning is usually time-consuming, especially when many VMs boot up simultaneously. We call such phenomenons “Boot Storm”. In practice, many VMs would run on a single compute node for higher resource utilization. This multiple VMs and single compute node scenario easily encounters Boot Storm. Boot Storm leads to extremely high latency of VM provisioning and badly affects user’s experience. In this paper, we propose VMBKS, which is a cloud shared memory cache system based on booting kernel. We exploit VMs’ correlations to organize VM image files, to reduce cache size and mitigate the effect of Boot Storm. We use booting kernel to construct cache and share the booting kernel to correlative VMs. Evaluation shows that VMBKS can speed up VM provisioning time by up to 60 % and mitigate the effect of Boot Storm significantly.
Evaluation of natural radioactivity in rocks of Nilgiri hills and their radiation hazard to mankind

Twenty three rock samples were collected from various altitudes of Nilgiri hills, Tamil Nadu, India. A survey was carried out to determine the activity concentration of selected radionuclides ( 238 U, 232 Th, 40 K) by means of gamma-ray spectroscopy using NaI (Tl) detector. From the measured spectra, the mean activity of 238 U, 232 Th, 40 K are 7.13 Bq kg -1 , 30.47 Bq kg -1 and 346.06 Bq kg -1 , respectively. To evaluate the radiological effects, the absorbed dose rate, effective absorbed dose rate, radium equivalent activity, external and internal hazard indices, and radioactivity level index are also calculated. The mean absorbed dose rate of gamma radiation ranged from 11.90 nGy h -1 to 108.22 nGy h -1 . The activity concentration of 238 U, 232 Th, 40 K and the various radiological effects are below the internationally recommended maximum values.
Active Queue Management Based Congestion Control for Unresponsive Flows

The Quality of Service (QoS) requests from network users expand greatly with ever fast development of the network technology as well as new network applications. In order to support a number of predicted communication products to the future, it is essential to develop a network infrastructure which can provide a greater bandwidth with better control of quality of service (QoS). In this paper we propose a new active queue management technique ICU (Isolate and Control Unresponsive Flows) which effectively controls the unresponsive flows, based on the network load status. First, a flow isolator isolates the unresponsive flows from the traffic mix of responsive flows and unresponsive flows, using the traffic arrival rate and loss ratio of the incoming flows. Then it checks for load un-balance of the network and automatically triggers the adaptive packet dropping policy wherein the unresponsive flows are shifted to a drop window. For every small interval, depending on the status of load un-balance, the size of the drop window is incremented or decremented. If the size of the window increases beyond a threshold value the packets will be dropped. By our simulation results, we show that our proposed algorithm achieves less loss.
Demonstration of a disruptive rotor blade concept for large wind turbines

Wind energy is the fastest growing renewable energy source in Europe, accounting for 10.2% of total electricity in 2015, however there is still a need to reduce the overall cost of energy – CoE to increase its competitiveness. The capital costs represents 78% of CoE and can be broken down into several categories, with around 54% attributable to wind turbine, from which the blades represents 30%.

CoE can be reduced by maximizing energy production for the site by installing larger turbines. However, as the length of current rotor blades increase, their associated cost and weight increase at a faster rate than the turbine’s power output. Furthermore, as blades get longer they are becoming increasingly more difficult to manufacture and transport setting the limit at 90m.

Winfoor (WF) and Marstrom (MC) aim to pursue this market opportunity by bringing to market its innovative and ground-breaking blade technology – Triblade. Triblade is a “3-in-1” modular blade, built as a Composite Material Truss that will allow rotor blades to be longer (up to 50%), stiffer (up to 290%) and lighter (up to 78%), whilst reducing around 65.2% production costs and increasing ease of transport and installation resulting in up to 15.5% CoE reduction. These are game changing improvements that can play an important role in driving the development of next generation of larger turbines and accelerate the transition to greater use of renewables worldwide. 

TRIBLADE project is expected to significantly enhance WF&MC’s profitability, with expected accumulated revenue of €85M and profits of €40M, 6 years after commercialization. Moreover, the successful achievement of TRIBLADE objectives is expected to assist Europe in achieving objectives to secure a sustainable energy system based on a low-carbon electricity from wind. This project will therefore entail increased competitiveness for the SME value chain and for the EU as a whole.
DRESSINGS WHICH CAN BE APPLIED SEVERAL TIMES TO TEXTILE FIBRES AND TEXTILE FABRICS

The invention relates to formulations for dressing, dressing layers, dressed textile fibres and textile fabrics and method for dressing textile fibres and textile fabrics. The textiles produced according to said invention can receive, a plurality of times, active substances, or active ingredients, and, according to the applicational function, can be deposited in an isotropic manner to the surrounding medium or in an anisotropic manner in a directly adjacent layer by means of a locally oriented material flow. The dressing layers are characterised by the swellability thereof and their capability of receiving active substances. The polymer layers form nano pockets during swelling which can receive one or several guest molecules. The active substances are released and desorbed whilst carrying the dressed tissue, are assisted by body heat, humidity, friction and movement. Counter to known intelligent biotextiles" based on cyclodextrine, it is possible, according to the invention, to apply an essentially wider spectrum of active substances to the textile surfaces a plurality of times. Said active substances can be deposited when the loaded textiles are carried and can be absorbed by the skin of the carrier, cutaneously or percutaneously, and they produce the desired effect on the destination point.
Global trends in DEM-related research from 1994 to 2013: a bibliometric analysis

Using the science citation index and the social sciences citation index databases, we performed a bibliometric analysis of the global studies on the digital evaluation model (DEM) that were conducted between 1994 and 2013. We identified the authorial, institutional, international, categorical, spatiotemporal patterns, and hotspots in DEM-related research. The number of DEM-related publications has been continuously increasing since 1994. Geology, engineering, and physical geography were the most frequently used subject categories in DEM-related studies, whereas Geomorphology, International Journal of Remote Sensing, and IEEE Transactions on Geoscience and Remote Sensing were the most active journals in the field. Toutin, T., Favalli, M., and Hancock, G. R. were the most prolific authors in DEM-related research. Authors of DEM-related research were mostly located in the USA, the European Union, and East Asia. The USA, China, and the UK were the top three most productive countries. The Chinese Academy of Sciences, the largest contributor of single-institution and collaborative publications on DEM, has a key position in collaboration networks. Both the number of articles that are internationally and inter-institutionally collaborative is increasing, with the former being more prevalent than the latter. Through keyword analysis, we observed several interesting terminology preferences, revealed the adoption of advanced technologies, and examined the patterns and underlying processes of geoscience. In summary, our study identified the quantitative, qualitative, temporal, and spatial characteristics, academic collaborations, as well as hotspots in scientific outputs and provided an innovative method of revealing global trends in DEM-related research to guide future studies.
Elemental carbon as an indicator to monitor the effectiveness of traffic related measures on local air quality

Even when European standards on air quality are met, health effects occur near busy roads because of the increased exposure to tailpipe emissions. For a proper assessment of these effects, an additional indicator is available: elemental carbon (EC). This is a sensitive indicator for particulate matter from combustion emissions by road traffic. Currently, the concentrations of EC along busy roads are still significantly increased relative to the background, in contrast to PM10 and PM2.5. Therefore, the effectiveness of traffic measures on local air quality and associated health effects can be better assessed with EC than with PM mass. This paper discusses the relevance of EC as an indicator in the assessment of air quality and health. This is illustrated with two pilot studies in the Dutch cities of Arnhem and Helmond where traffic measures were evaluated with EC measurements. Also model calculations of the effect of 80 km/h speed limit zones on Dutch motorways on the health risks of local residents are presented. It is concluded that the assessment of EC through monitoring and/or modelling is a powerful policy instrument to analyse the impact of local traffic measures on air quality and health. Typically, people living close to busy road transport may live 1 to 6 months longer when measures like enhancing traffic flow, speed limiting and environmental zoning are implemented.
Agent-based land use models for teaching extension and collaborative learning

This chapter describes an agent-based land use modeling approach, called MP-MAS, developed at Hohenheim University. The main focus of this approach is the integration of economic decision-models with biophysical models of water supply and soil fertility at a fine spatial resolution. Short-term production and consumption decisions of agents are represented as mathematical programming problems, whereas longer-term decisions, for example investment and migration, are represented using heuristics. Here, we position the approach in relation to alternative agent-based models of land use and water management and describe empirical applications to Chile, Uganda, Ghana, and Thailand. Based on these practical experiences, we discuss the use of MP-MAS as a tool for collaborative learning and participatory research.
A mid-infrared tunable filter in a semiconductor–dielectric photonic crystal containing doped semiconductor defect

Abstract In this work, we theoretically analyze tunable filtering properties in a semiconductor–dielectric photonic crystal (SDPC) containing doped semiconductor defect in the mid-infrared frequency region. We consider two possible configurations of filter structures, the symmetric and asymmetric ones. With a defect of the doped n-type semiconductor, n-Si, the resonant transmission peak can be tuned by varying the doping concentration, that is, the peak wavelength will be shifted to the position of lower wavelength for both structures. Additionally, by increasing the defect thickness, it is also possible to have a filter with multiple resonant peaks, leading to a multichannel filter. The results provide another type of tunable filter in the defective SDPC that could be of technical use for semiconductor applications in optical electronics.
Decoding the cancer glycoproteome driven immune response

Cancer continues to be the most formidable challenge in modern medicine and the second leading cause of deaths worldwide. However, in recent years, the treatment of unresectable cancer has undergone a paradigm shift with the advent of immunotherapy. Yet, despite the great progress in the field, the majority of cancer patients still do not respond to any of the available immunotherapeutics and no reliable biomarker exists to predict those patients that would benefit from it.

In order to facilitate the development of new strategies for immunotherapy, and to identify improved predictive biomarkers for treatment response, the GlyCANswer project envisions to elucidate how the cancer glycoproteome dictates the immune response. The GlyCANswer project aims to unravel the interplay between the cancer cell glycoproteome and immune recognition in the two most frequent malignancies worldwide, namely lung and breast cancer. By using a combination of cutting-edge glycoproteomics, glycomics and immune profiling approaches in innovative mouse models and cell culture systems, the GlyCANswer project will 1) map the immunomodulatory glycosylation of cancer cells 2) explore the detailed mechanisms of glycan-mediated immune regulation 3) identify new biomarkers and provide new therapeutic targets for immune therapy.
Seasonal reproduction in the female spiny mouse from South Africa

Many mammal species reproduce seasonally because of annual fluctuations in temperature, rainfall and photoperiod in often nutritionally challenging habitats. The reproductive biology of many small southern African mammals is largely unknown and in critical need of study. We investigated the breeding pattern of the female spiny mouse (Acomys spinosissimus) from South Africa. We examined the ovarian development, follicular growth, circulating plasma progesterone concentrations and the reproductive status of wild-caught adult female spiny mice sampled over a 12-month period while also correcting for body mass and age. From these data, we conclude that female A. spinosissimus breed seasonally. The main breeding season of the spiny mouse is between September and January, with plasma progesterone concentrations being elevated, ovarian volume and primary, secondary, tertiary and Graafian follicle numbers as well as the corpora body number being the highest and pregnancies occurring during this period. Females were reproductively inactive from February through to August. The breeding season coincides with the onset of the rainy season in the habitat, which starts around September and ends in April. Rainfall, in association with an increase in primary productivity and hence higher food availability, might be the most important factor shaping reproduction in the female spiny mouse.
A Multiscale, Nonlinear, Modeling Framework Enabling the Design and Analysis of Composite Materials and Structures

A framework for the multiscale design and analysis of composite materials and structures is presented. The ImMAC software suite, developed at NASA Glenn Research Center, embeds efficient, nonlinear micromechanics capabilities within higher scale structural analysis methods such as finite element analysis. The result is an integrated, multiscale tool that relates global loading to the constituent scale, captures nonlinearities at this scale, and homogenizes local nonlinearities to predict their effects at the structural scale. Example applications of the multiscale framework are presented for the stochastic progressive failure of a SiC/Ti composite tensile specimen and the effects of microstructural variations on the nonlinear response of woven polymer matrix composites.
Optimizing the Protocol for Pulmonary Cryoablation: A Comparison of a Dual- and Triple-Freeze Protocol

The purpose of this study was to compare a double freeze-thaw protocol to a triple freeze-thaw protocol for pulmonary cryoablation utilizing an in vivo porcine lung model. A total of 18 cryoablations were performed in normal porcine lung utilizing percutaneous technique with 9 each in a double- (10-5-10) and triple-freeze (3-3-7-7-5) protocol. Serial noncontrast CT images were obtained during the ablation. CT imaging findings and pathology were reviewed. No imaging changes were identified during the initial freeze cycle with either protocol. However, during the first thaw cycle, a region of ground glass opacity developed around the probe with both protocols. Because the initial freeze was shorter with the triple freeze-thaw protocol, the imaging findings were apparent sooner with this protocol (6 vs. 13 min). Also, despite a shorter total freeze time (15 vs. 20 min), the ablation zone identified with the triple freeze-thaw protocol was not significantly different from the double freeze-thaw protocol (mean diameter: 1.67 ± 0.41 cm vs. 1.66 ± 0.21 cm, P = 0.77; area: 2.1 ± 0.48 cm(2) vs. 1.99 ± 0.62 cm(2), P = 0.7; and circularity: 0.95 ± 0.04 vs. 0.96 ± 0.03, P = 0.62, respectively). This study suggests that there may be several advantages of a triple freeze-thaw protocol for pulmonary cryoablation, including earlier identification of the imaging findings associated with the ablation, the promise of a shorter procedure time or larger zones of ablation, and theoretically, more effective cytotoxicity related to the additional freeze-thaw cycle.