SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Long lasting reinforced concrete for energy infrastructure under severe operating conditions

The main goal of the LORCENIS project is to develop long reinforced concrete for energy infrastructures with lifetime extended up to a 100% under extreme operating conditions.  The concept is based on an optimal combination of novel technologies involving customized methodologies for cost-efficient operation. 4 scenarios of severe operating conditions are considered:
1. Concrete infrastructure in deep sea, arctic and subarctic zones: Offshore windmills, gravity based structures, bridge piles and harbours
2. Concrete and mortar under mechanical fatigue in offshore windmills and sea structures
3. Concrete structures in concentrated solar power plants exposed to high temperature thermal fatigue
4. Concrete cooling towers subjected to acid attack
The goal will be realized through the development of multifunctional strategies integrated in concrete formulations and advanced stable bulk concretes from optimized binder technologies.  A multi-scale show case will be realized towards service-life prediction of reinforced concretes in extreme environments to link several model approaches and launch innovation for new software tools.
The durability of sustainable advanced reinforced concrete structures developed will be proven and validated within LORCENIS under severe operating conditions based on the TRL scale, starting from a proof of concept (TRL 3) to technology validation (TRL 5).
LORCENIS is a well-balanced consortium of multidisciplinary experts from 9 universities and research institutes and 7 industries whose 2 are SMEs from 8 countries who will contribute to training by exchange of personnel and joint actions with other European projects and increase the competitiveness and sustainability of European industry by bringing innovative materials and new methods closer to the marked and permitting the establishment of energy infrastructures in areas with harsh climate and environmental conditions at acceptable costs.
APPARATUS FOR CONTROLLING GASOLINE VAPOR EMISSIONS

The present invention combines the gasoline vapor recovery efficiency advantages of a Hirt "Partial Seal System", as disclosed, for example, in U.S. Patent No. 4,680,004 to Hirt, with the customer convenience advantages of gasoline vapor recovery systems employing "bootless" nozzles. The use of bootless in combination with strict environmental vapor emissions compliance is made possible because of specific system advantages, which include the use of a burner (60) designed to operate at two different flow rates, a coaxial processor stack (66) which permits second and third stage combustion of excess gasoline vapor generated by the system before it is released to atmosphere, and a remote sensor (110-114) which continually monitors system vacuum pressure to ensure that a sufficient vacuum is maintained at all times. A major advantage of the present system is that the processor unit is adaptable for installation into existing gasoline vapor recovery systems and into other systems, including other manufacturer's systems.
Autonomic nervous system dysfunction in obesity and Prader-Willi syndrome: current evidence and implications for future obesity therapies

The autonomic nervous system (ANS) controls essential functions like breathing, heart rate, digestion, body temperature and hormone levels. Evidence suggests that ANS dysfunction is associated with adult and childhood obesity and plays a role in the distribution of total body fat and the development of obesity-related complications in humans. This review summarizes our current understanding of ANS involvement in the pathogenesis of obesity and Prader-Willi syndrome. Available evidence of ANS dysfunction in the control of energy balance is limited and, in some cases, contradictory. Further investigation in this area is warranted in order to better understand the important contributions of the ANS to regulation of body fat, development of obesity and its comorbidities. Results from these studies will guide the development of novel obesity therapeutics targeting specific ANS dysfunction.
Improving the quality of the dental practice’s offer through the implementation of innovative comprehensive services and processes in the latest standards of dentistry.

The implementation of the project is the implementation of innovative services through the purchase of dental equipment with innovative technological solutions. The selection of devices is a thought-out concept, the result of which is the comprehensiveness of services, both at the stage of diagnosis and treatment. This comprehensiveness will be based on advanced, innovative technology, which will ensure that the patient on-site in the office will have a complete package of services, ranging from the simplest care treatments to those that require highly specialised diagnostic equipment. The aim of the project is to enable comprehensive diagnosis and treatment, thanks to the use of innovative diagnostic devices and devices that will enable the treatment process to be performed in optimal patient comfort. It will be achieved through the purchase of 4 fixed assets: smart laser, dental microscope, bone surgery equipment and innovative digital X-ray system.
Proposal of a genetic classifier for risk group stratification in pediatric T-cell lymphoblastic lymphoma reveals differences from adult T-cell lymphoblastic leukemia

T-cell lymphoblastic lymphoma (T-LBL) represents the second most common subtype of non-Hodgkin’s lymphoma (NHL) in children and adolescents. Current chemotherapy protocols reach event-free survival probabilities (pEFS) of 75–85%,1 and are associated with relevant late effects2, 3 and treatment-related death rates of ~4%.4 Although reduction of treatment-associated toxicities therefore remains an important aim, poor probabilities of survival in relapsed LBL of 10–15%5 leave no room for treatment de-escalation in frontline protocols. For pediatric acute lymphoblastic leukemia (ALL), risk assessment and treatment stratification have allowed safe treatment de-escalation for low-risk patients and intensification for high-risk patients.6 Limitations in numbers of newly diagnosed patients have impeded evaluation and validation of potential markers for pediatric LBL.
Short Implant to Support Maxillary Restorations

The aim of this study was to evaluate stress distribution on peri-implant bone simulating the influence of implants with different lengths on regular and switching platforms in the anterior maxilla by means of three-dimensional finite element analysis.Four mathematical models of a central incisor supported by an external hexagon implant (diameter, 5.0 mm) were created, varying the length (15.0 mm for long implants [L] and 7.0 mm for short implants [S]) and the diameter of the abutment platform (5.0 mm for regular models [R] and 4.1 mm for switching models [S]). The models were created using the Mimics 11.11 (Materialise) and SolidWorks 2010 (Inovart) software. Numerical analysis was performed using ANSYS Workbench 10.0 (Swanson Analysis System). Oblique forces (100 N) were applied to the palatine surface of the central incisor. The bone/implant interface was considered perfectly integrated. Maximum (σ(max)) and minimum (σ(min)) principal stress values were obtained.For the cortical bone, the highest stress values (σ(max)) were observed in the SR (73.7 MPa) followed by LR (65.1 MPa), SS (63.6 MPa), and LS (54.2 MPa). For the trabecular bone, the highest stress values (σ(max)) were observed in the SS (8.87 MPa) followed by the SR (8.32 MPa), LR (7.49 MPa), and LS (7.08 MPa).The influence of switching platform was more evident for the cortical bone in comparison with the trabecular bone for the short and long implants. The long implants showed lower stress values in comparison to the short implants, mainly when the switching platform was used.
Using LittleFe to introduce parallel and distributed computing in the curriculum

Many institutions and teaching environments do not have access to parallel platforms for parallel and distributed computing education. Teaching key concepts such as speedup, efficiency, and load balancing are much more effectively done on a parallel platform. LittleFe is a complete 6 node (12 core) portable computational cluster which supports shared memory parallelism (OpenMP and Pthreads), distributed memory parallelism (MPI), and GPGPU parallelism (CUDA or OpenCL). This tutorial will show how the LittleFe cluster is constructed from commodity components, and how it can be used in the undergraduate curriculum to teach these important concepts. Examples of modules for use in such courses as CS/2, Computer Organization, Algorithms, and Operating Systems will be given.
Exploring Linear Homeomorphic Clusters on Nonlinear Manifold

This paper proposed a new clustering alogorithm based on ant colony optimization and Grassmann manifold for exploring linear homeomorphic clusters on non-linear dataset manifold. The minimum processed units of algorithm were first lifted to suppress the influence of noise, and then the similarity of unit was measured according to Grassmann manifold and a geodesic-like distance was designed for ensuring the connectivity of cluster. To improve the quality of cluster generated by ant colony clustering, the direction of minimum surface complexity was defined and introduced into the pheromone update strategy as heuristic information. Experiments and analysis on several datasets have shown the successful performance on linear homeomorphic clustering compared to traditional clustering algorithms.
Non-Linear signal processing for solving data challenges in astrophysics

Astrophysics has arrived to a turning point where the scientific exploitation of data requires overcoming challenging analysis issues, which mandates the development of advanced signal processing methods. In this context, sparsity and sparse signal representations have played a prominent role in astrophysics. Indeed, thanks to sparsity, an extremely clean full-sky map of the Cosmic Microwave Background (CMB) has been derived from the Planck data [Bobin14], a European space mission that observes the sky in the microwave wavelengths. This led to a noticeable breakthrough: we showed that the large-scale statistical studies of the CMB can be performed without having to mask the galactic centre anymore thanks to the achieved high quality component separation [Rassat14]. 
Despite the undeniable success of sparsity, standard linear signal processing approaches are too simplistic to capture the intrinsically non-linear properties of physical data. For instance, the analysis of the Planck data in polarization requires new sparse representations to finely capture the properties of polarization vector fields (e.g. rotation invariance), which cannot be tackled by linear approaches. Shifting from the linear to the non-linear signal representation paradigm is an emerging area in signal processing, which builds upon new connections with fields such as deep learning [Mallat13]. 
Inspired by these active and fertile connections, the LENA project will: i) study a new non-linear signal representation framework to design non-linear models that can account for the underlying physics, and ii) develop new numerical methods that can exploit these models. We will further demonstrate the impact of the developed models and algorithms to tackle data analysis challenges in the scope of the Planck mission and the European radio-interferometer LOFAR. We expect the results of the LENA project to impact astrophysical data analysis as significantly as deploying sparsity to the field has achieved.
Application on Surfactant System of Decreasing Start-up Pressure Gradient in Chao Yanggou Oilfield

For the characteristics of water injection pressure rising fast and difficultly injecting in the water injecting process in Chao Yanggou low permeability oilfield,the lowering pressure and increasing injecting surfactant system was screened and the recipe of surfactant system was determined as follows:0.2%Petroleum sulfonate salts surfactant T702-40~# surfactant+ 0.5%Na_2CO_3. The experimental results indicated that the equilibrium interfacial tension between the surfactant system and the Chao Yanggou crude oil could reach 2×10~(-2)mN/m,the surfactant system had good temperature resistance and salinity resistance,and had good compatibility with injecting water and formation water,and could make the rocky wettability reverse,which make the oil recovery be improved by about 5%.The movable permeability value calculated from the surfactant system flooding was 15%bigger than that of water flooding,which could reduce start-up pressure obviously.And the mechanism of surfactant system reducing start-up pressure was researched.Field test results of 82-152 well area in Chao Yanggou oilfield indicated that the surfactant system could reduce start-up pressure,improve reservoir water absorbing capacity,increase producing proportion of low permeability reservoir, and cumulative oil increment of 7 wells was 17681.
Sustainable urban neighbourhoods - research and implementation support in europe

SUNRISE will develop, implement, assess and facilitate learning about new, collaborative ways to address common mobility challenges at the neighbourhood level. Towards this aim, 6 cities will foster collaborative processes in specific neighbourhoods as “Neighbourhood Mobility Labs” with the explicit mandate to implement innovative solutions for and with their residents, businesses etc.

SUNRISE rests on several pillars: A) Utilisation of neighbourhood-specific opportunities. B) Co-creation of solutions, i.e. through strategic civic-public alliances C) Socio-technical nature of solutions as combinations of services, social arrangements, rules, technologies or small infrastructures etc. D) New forms of synergies between bottom-up and top-down.
All SUNRISE activities are structured along the following phases of the innovation chain: 1) Co-identification of mobility problems; 2) Co-planning / co-selection of solutions; 3) Co-implementation of solutions; 4) Co-evaluation; 5) Co-learning and uptake.

The SUNRISE action neighbourhoods will use a blend of proven state-of-the-art online and face-to-face participation techniques and will establish longer-term collaborative forums. These will systematically involve citizens, businesses, NGOs, local authorities, academics etc. – always with a view to also involve under-empowered sections of the population like migrants, women, older and young people.

Alongside the mobility benefits for the action neighbourhoods, the project will result in a suite of products – most prominently the SUNRISE Neighbourhood Mobility Pathfinder – which will be provided to European cities, their stakeholders and citizens through a powerful exchange process to inspire and inform change across Europe. This will include a group of 20 Take-Up neighbourhoods and various city networks in cooperation with CIVITAS.

In strategic terms, SUNRISE will lay the foundation for a Sustainable Neighbourhood Mobility Planning concept (SNMP) to complement SUMPs.
Multitraits evaluation of Pakistani ecotypes of berseem clover (Trifolium alexandrinum L.) under full-irrigation and water restriction conditions

Summary Berseem clover ( Trifolium alexandrinum L.) is an important forage crop in Pakistan and many ecotypes are grown across the country. Its yield is however frequently affected by insufficient irrigation due to unavailability of water. In the present study, twenty Pakistani ecotypes of berseem clover have been evaluated in lysimeters under full irrigation and water restriction conditions. In the full irrigation treatment soil humidity was maintained at field capacity, while in the water restriction treatment water was only supplied after severe wilting and to maintain humidity in the deep profile of the soil. Assessed traits included forage yield, calculated as the sum of the biomass harvested at 70 and 110 DA days after emergence, and morpho-physiological traits. Significant effects of water restriction were noted on yield, leaf gas exchange parameters, canopy temperature and osmotic adjustment. Most morpho-physiological traits had higher broad sense heritability than forage yield, both under full irrigation and water restriction conditions. Water restriction increased genetic and phenotypic variability and heritability of most traits under study. Under these conditions forage yield was positively associated to leaf temperature and recovery rate index and, under full irrigation, to net photosynthetic rate, canopy depression temperature and leaf area. The possible use of these traits as indirect selection criteria in berseem clover breeding programs is discussed. Some ecotypes with favorable traits such as high forage yield potential, good adaptation to water restriction and aptitude to multiple harvesting have also been identified.
Novel prognostic personalized biomarker and  therapeutic target in blood cancer related fibrosis

The objective of this ERC Proof of Concept is to demonstrate the clinical application and commercial viability of a specific driver of the innate immune system as a novel predictive biomarker and as a novel therapeutic target for the diagnosis and treatment of bone marrow fibrosis related to blood cancer. This proposed project builds upon recent findings of my deFiber ERC Starting Grant (Stg) project, where we identified this danger-associated molecular pattern complex as exactly as such a prognostic and predictive biomarker and importantly showed that targeting with a small molecular, oral, anti-cancer inhibitor reduced fibrosis but also the cancer cell burden, in the sense of a targetable biomarker.
Preheat gas turbine combined with steam turbine

A process for generating useful power comprises the use of a combined reheat gas turbine and steam turbine cycle. The use of second generation high pressure-ratio, high-firing temperature gas generators in combination with linear axial diffusion prior to reheating the gas yields increased efficiency and output heretofore unexpected from reheat gas and combined cycles.
Disrupting the way we store and search for files, replacing the folder-based with a context-based filing paradigm.

Knowledge workers such as lawyers or software engineers spend 16% of their time searching for information. Over 50% of the times, they do not find exactly what they are looking for. A lot of this time is wasted by employees using solutions that ask “where” the information is, instead of allowing the employee to search for “what” they are looking for. Digital folders mimic the way we have been storing documents for centuries: in drawers. But, does this make sense? 95% of docs contain written down ideas. So why don't we treat these written ideas like we do the ideas in our brain?
Intranetum mimics the brain in order to connect the common dots in knowledge. In this way, instead of a traditional folder-based filing system, Intranetum provides a context-based filing system based on AI technologies, mainly Deep Learning. Intranetum is the first SaaS self-learning knowledge environment to connect people with information inside a company. We combine artificial intelligence and smart knowledge management to provide new insights, recommendations and predictions.
The overall objective of the Phase II project is to create more sales by scaling-up the current system with additional features that provide more benefits to users and/or that give us access to a larger user base. The Expected Outcome of the Phase II project will be Intranetum v2.0 that reaches a larger potential user base due to additional functionalities and integrations.
The specific objectives of Phase I Feasibility are: Technological Feasibility Study, Market Assessment, Business Model Assessment, Risk Assessment, IP Assessment, Work Plan for Phase II, Business Plan
Our solution Intranetum is completely European. Of course, we are a European company, but also our beta users are all based in Europe, our team consists of Europeans and our aim is to contribute to Europe being the most successful knowledge economy it can be. Our revenues are likely to come from within Europe at first but we are eager to expand beyond
Design and implementation of mobile traffic warning triangle

In this paper, we design a new mobile traffic warning triangle (MTWT) which consist five parts: distance measurement unit, reflective tracking function, LED indicate, emergency calling and embedded controller. The MTWT can track the white line in road side then move a fix distance and rise the LED indicate triangle. It also can detect the distance between two cars and alarm the driver. The GPS module let system understand its current location that makes it easy to calculate the movement orientation and to inform the relevant departments. The driver can call back the MTWT just use application software in the smartphone when system finish the notification.
Silencing of miR-137 by aberrant promoter hypermethylation in surgically resected lung cancer

Recent studies demonstrated that miR-137 is downregulated in various tumors, and that it functions as a tumor suppressor. miR-137 could be silenced by its aberrant promoter hypermethylation. The purpose of this study was to investigate the significance of MIR137 promoter methylation on its expression in lung cancer.Lung cancer cell lines were treated with either a DNA methyltransferase inhibitor (5-azacytidine, AZA) and/or an HDAC inhibitor (trichostatin A, TSA) to determine whether miR-137 expression was reactivated. Paired lung tumor and adjacent non-tumor lung tissues were obtained (n=50). Quantitative methylation-specific PCR and bisulfite sequencing were used to analyze the methylation status of MIR137, and real-time RT-PCR was performed to analyze miR-137 expression.miR-137 was reactivated by treatment with either AZA and/or TSA in lung cancer cell lines. Methylation-specific PCR showed increased MIR137 promoter methylation in lung tumors compared with adjacent non-tumor tissues, which was further validated by bisulfite sequencing. The expression of miR-137 was downregulated significantly in lung tumors, which was correlated with level of MIR137 promoter methylation inversely.miR-137 downregulation was related to its promoter hypermethylation in lung cancer. Further studies are needed to assess its value as a prognostic factor and potential therapeutic applications in lung cancer.