SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
(19474.04112021.194000138) BLUGREEN

THIS INTERNATIONALISATION PROJECT, WHOSE MAIN TARGET COUNTRY? REPRESENTED BY THE UNITED STATES OF AMERICA AND THE TARGET COUNTRY JAPAN, PROVIDES FOR THE IMPLEMENTATION OF A SERIES OF ACTIVITIES? AIMED AT PROMOTING THE SALES OF FABRICS FOR INTERIOR AND OUTDOOR FURNITURE IN PARTICULAR OF NATURAL AND/OR RECYCLED FIBRES PRODUCED BY THE COMPANY? BLU.THE PROGRAM ENVISAGES PARTICIPATION IN THE HEIMTEXTILE 2022 FAIR THAT WILL BE HELD? FROM 11 TO 14 JANUARY 2022 IN FRANKFURT-GERMANY. AT THIS FAIR ARE THE OPERATORS OF THE SECTOR OF NORTH AMERICA AND THE ASIAN MARKET, IN PARTICULAR GIAPPONESE. YES AVVARR? THE SPECIALIST CONSULTING SUPPORT OF A PROFESSIONAL EXPERIENCED IN INTERNATIONALISATION TO DEVELOP MARKETING PLANS. COMPLETER? THE PROGRAM OF COMMUNICATION AND ADVERTISING ACTIONS ON INTERNATIONAL MARKETS, IN PARTICULAR THOSE TARGETED WITH THE ENHANCEMENT OF THE WEB ALSO THROUGH SOCIAL MEDIA.
Increased Efficiency in Small Molecule Organic Solar Cells Through the Use of a 56-π Electron Acceptor – Methano Indene Fullerene

Organic solar cells (OSCs) offer the possibility of harnessing the sun's ubiquitous energy in a low-cost, environmentally friendly and renewable manner. OSCs based on small molecule semiconductors (SMOSCs)--have made a substantial improvement in recent years and are now achieving power conversion efficiencies (PCEs) that match those achieved for polymer:fullerene OSCs. To date, all efficient SMOSCs have relied on the same fullerene acceptor, PCBM, in order to achieve high performance. The use of PCBM however, is unfavourable due to its low lying LUMO level, which limits the open-circuit voltage (VOC). Alternative fullerene derivatives with higher lying LUMOs are thus required to improve the VOC. The challenge, however, is to prevent the typical concomitant decrease in the short circuit current density (JSC) when using a higher LUMO fullerene. In this communication, we address the issue by applying methano indene fullerene, MIF, a bis-functionalised C60 fullerene that has a LUMO level 140 mV higher than PCBM, in solution processed SMOSCs with a well known small molecule donor, DPP(TBFu)2. MIF-based devices show an improved VOC of 140 mV over PC61BM and only a small decrease in the JSC, with the PCE increasing to 5.1% (vs. 4.5% for PC61BM).
Motor cycle touring in New Zealand before 1915

This article attempts to explain why the riders of motor-assisted bicycles before 1915 only wrote the briefest details of their long-distance journeys around New Zealand. Road, rail and telegraph infrastructure only started in New Zealand after 1870. This was 30 years after the first formal colonial settlements. The first motor vehicles imported into New Zealand were using these roads by 1897. The major problem of using personal transport was that of using primitive engined vehicles on crude and poorly made road surfaces. Motor cars could only be used on the streets of the main settlements whereas the bicycle could be used for out of town rides providing the cyclist had the physical strength to overcome the many obstacles. The motor attachment to a bicycle allowed riders to travel further while still using the riding techniques developed for cycling. The constant soaking of riders from rain and raging river crossings made the taking of writing materials difficult.
Support Vector Neural Network and Principal Component Analysis for Fault Diagnosis of Analog Circuits

Fault diagnosis of the analog circuits is the trending research area as the analog circuits holds a lot of applications in military, automatic control, household appliances, communication, and so on. Even though the researchers presented various methods for fault diagnosis, still there is a lack of reliable techniques for analog fault detection and diagnosis. Keeping this mind, this paper presents the Support Vector Neural Network (SVNN) for identifying the faulty and the fault-free analog circuit. At first, the pre-processing is carried out using the Principle component analysis (PCA) that serves as the best way for solving the dimensional complexities. Then, the weights of SVNN are optimally tuned using the Genetic Algorithm (GA) that enables the optimal classification of the analog circuits. The GA-based SVNN is an optimization approach for classifying the analog circuits that enable the comprehensive diagnosis of the faults in the analog circuits. The experimentation is performed using the triangular wave generator and the simulation results highlight that SVNN classifier attained a classification percentage of 99.54 % and low False Alarm Rate of 0.68%.
Highly porous collagen scaffolds for building 3d vascular networks: structure and property relationships

This proposal concerns with the development of functional 3D hierarchical vasculature within engineered freeze-dried collagen scaffolds. The main objective is to investigate the contribution of scaffold’s pore architecture (size, shape and interconnectivity) and culture conditions, such as cell ratios in co-culture, perfusion vs. static culture and hypoxia, on the self-organisation of endothelial cells into vascular-like structures. A comprehensive 2-year, highly inter-disciplinary programme is planned encompassing processing, scaffold structure characterisation, structure-property investigation and systematic in vitro experimentation. The in vitro work will be carried out in collaboration with the REPAIR-lab in Mainz, Germany - a founding member of the European Commission Network of Excellence EXPERTISSUES. 
  Freeze-drying process parameters will be varied to produce isotropic and anisotropic scaffolds, with pore sizes mimicking native small blood vessels. The pore architecture, in both dry and hydrated states, will be quantified via X-ray tomography and 2-photon confocal microscopy, respectively, using original methodologies. The Young’s modulus and resistance to fluid flow (permeability) of scaffolds will be measured as a function of pore architecture characteristics. A customised set-up allowing low strain measurements of Young’s modulus will be used to establish whether conventional mechanical testing is suitable. Fluid permeability will be measured by applying a constant pressure gradient. Rather surprisingly in view of permeability’s significance in nutrient diffusion and waste removal, there is only a single study on permeability. Vascular organization, maturation and functionality of optimised scaffolds will be studied as a function of pore architecture, using state-of-the-art microscopy, real-time imaging, perfusion tests, histology and a variety of biochemical assays.
Development of robust distributed learning strategies for wireless sensor networks using rank based norms

Distributed signal processing is an important area of research in wireless sensor networks (WSNs) which aims to increase the lifetime of the entire network. In WSNs the data collected by nodes are affected by both additive white Gaussian noise (AWGN) and impulsive noise. The classical square error based distributed techniques used for parameter estimation are sensitive to impulse noise and provide inferior estimation performance. In this paper, novel robust distributed learning strategies are proposed based on the Wilcoxon norm and its variants. The Wilcoxon norm based learning strategy provides very slow convergence speed. In order to circumvent this improved distributed learning strategies based on the notion of the Wilcoxon norm are proposed for different types of environmental data. These algorithms require less computational complexity compared to previous ones. In addition these algorithms offer faster convergence rate in the presence of biased input data. Simulation based experiments demonstrate that the proposed techniques provide faster convergence speed than the previously reported techniques in both biased and unbiased input data. HighlightsThis paper deals with the development of some robust novel algorithms.These are robust against outliers in the desired data.Sign-regressor and sign-sign incremental Wilcoxon norm algorithms are proposed.A novel norm is also proposed.
EXPERIMENTAL STUDY OF SF6 GAS-PRESSURIZED LAPPED-POLYPROPYLENE CABLE FOR EHV TRANSMISSION LINE

Problems on the materials and construction of SF 6 gas-pressurized lapped-polypropylene cable were mainly investigated to prevent the cable from deteriorating in electrical properties caused by thermal or mechanical stress applied to the cable. Biaxially oriented PP film (130 ˜ 200 μm thick) with fibrillated surfaces was used for insulation and in order to suppress the lowering of discharge inception voltage caused by loading cycles, aluminum-evaporated PP film which has the same thermal expansion coefficient as that of insulation was adopted for the inner and outer shielding layers. The partial discharge inception stress of 275 kV PPGF cable was in agreement with the theoretically highest-possible value in the butt spaces which exist in the insulation layer, and an impulse breakdown stress of more than 100 kV/mm was obtained.
Perfis Históricos e Teóricos da Hermenêutica Jurídica Nomofactual

Nos atuais discursos dos filósofos e cientistas do Direito, se fala cada vez mais de “hermenêutica jurídica”. Todavia, quando se tenta entender o que eles querem dizer com essa expressão, muitas vezes percebe‑se que estão se referindo a coisas bem diferentes. Assim, repercorrendo a história do pensamento jurídico, resulta que a hermenêutica jurídica consistia ou apenas na prática da interpretação (Direitos romano e medieval), ou também em sua metodologia (desde a Baixa Idade Média até o final do século XVIII), ou, ademais, na sua teoria (graças ao trabalho de F. C. Von Savigny no século XIX), ou, sempre para além das outras formas, em uma verdadeira filosofia do Direito. Este artigo concentra‑se nesta última forma, em particular no que se propõe chamar “hermenêutica jurídica nomofactual”, movimento de pensamento inaugurado a partir da década de 20 do século passado por G. Radbruch, fortalecido nas décadas seguintes, até o início dos anos 1980, por outrospensadores alemães, e, finalmente, recepcionado em vários países (incluindo Itália e Espanha). Mais precisamente, a ideia lançada pela primeira vez por esse movimento, segundo a qual o direito deriva sempre da dialética entre um elemento normativo e um elemento factual, será aqui explorada ilustrando as onze teses principais em que se caracterizou.
EXTENDED DYNAMIC RANGE IMAGING SYSTEM AND METHOD

In one embodiment, an imager (201) has an array of photodetectors, each of which accumulates charge during an integration period as a result of light detected during the integration period, the array having a charge capacity which increases during the integration period. A charge capacity controller (202) coupled to the imager (201) adjusts how the imager (201) increases the charge capacity of the array based upon the brightness distribution detected by the imager (201) during at least one previous integration period.
DiverNet &#x2014; A network of inertial sensors for real time diver visualization

This paper describes the DiverNet system that allows real time reconstruction of diver's posture and its visualization using a virtual 3D model. DiverNet is a network consisting of 17 inertial sensors mounted on diver's body, enabling calculation of orientation of each body part. Based on the obtained data, diver posture can be visualized. In addition to that, DiverNet allows integration of additional sensors for measuring physiological parameters such as breathing rate. This is the first time such technology is used in the underwater. Obtained data will be used to increase diver safety by monitoring the diver in real time, as well as developing tools for understanding diver behaviour and automatically recognizing possible signs of trouble. The paper focuses on technical description of the developed system, as well as the software used for data analysis and visualization.
Pregnabit – the world’s first complex telemedical mobile ctg system for pregnancy examination

The world faces unacceptably high mortality among children and expecting mothers - 300,000 women and 6 million children under the age of five dying every year from preventable causes, according to WHO. In developed countries, expecting mothers from the high-risk groups are subjected to regular scanning by cardiotocography (CTG), which is a reliable and accurate state-of-the-art examination. The main problem is a limited access to CTG, which is especially pronounced in less-developed countries, but even in the EU and US it is narrowed to the high-risk pregnancies.
Nestmedic developed a unique solution, PREGNABIT, which improves the experience of expecting mother and reduce the health risks for the baby. Pregnabit is a portable medical device providing the same accuracy as standard CTG, however, it can be used in a safe home environment. Test results are transferred to Medical Telemonitoring Centre operating 24/7, where data are verified by a specialist who sends feedback to the pregnant. If the results indicate that medical intervention is necessary, the specialist from Medical Telemonitoring Centre contacts one of the local call centres which provides necessary assistance. Although there are some portable foetal monitors available on the market – none of them provides such a high accuracy and 24/7 professional service as we do with Pregnabit. 
The solution based on Medical Telemonitoring Centre and the network of local call centres will be the first of that type in the world providing 24/7 access to the expertise of professional doctors. The expected impacts are: reduced mortality among new-borns, lower cost for the healthcare system, and more reliable healthcare through 24/7 support. The annual savings for the European health care systems from introducing Pregnabit can reach €60mln, reducing the price of a single CTG scan by a factor of 5.
Decision-making processes in football clubs associated with an external advisory programme

Purpose The purpose of this paper is to foster a better understanding of how decision-making processes work in sport clubs and to develop appropriate advisory concepts or management tools in order to successfully realize structural changes in sport clubs. This paper examines the decision-making processes associated with an external advisory programme. Based on the assumption of bounded rationality, the garbage can model is used to grasp these decision-making processes theoretically and to access them empirically. Design/methodology/approach Based on a case study framework, an in-depth analysis of the decision-making and implementation processes involved in an advisory programme was performed in ten selected football clubs. Guided interviews were conducted on the basis of the four streams of the garbage can model. The interviews were analysed with qualitative content analysis. Findings Results show that three types of club can be distinguished in terms of their implementation processes: low implementation of the external input; partial implementation of the external input; and rigorous implementation of the external input. In addition, the analysis shows that the participants in the advisory programme are the key actors in both the decision-making process and the implementation. Originality/value The paper provides insights into the practicability of advisory programmes for sport clubs and the transfer to the clubs’ practical decision-making routines. Additionally, it shows how sport clubs deal with (external) advisory impulses, and which different decision-making practices underlie these processes.
iPathCaseKEGG: An iPad interface for KEGG metabolic pathways

Abstract Background Kyoto Encyclopedia of Genes and Genomes (KEGG) is an online and integrated molecular database for several organisms. KEGG has been a highly useful site, helping domain scientists understand, research, study, and teach metabolisms by linking sequenced genomes to higher level systematic functions. KEGG databases are accessible through the web pages of the system, but the capabilities of the web interface are limited. Third party systems have been built over the KEGG data to provide extensive functionalities. However, there have been no attempts towards providing a tablet interface for KEGG data. Recognizing the rise of mobile technologies and the importance of tablets in education, this paper presents the design and implementation of iPathCase KEGG , an iPad interface for KEGG data, which is empowered with multiple browsing and visualization capabilities. Results iPathCase KEGG has been implemented and is available, free of charge, in the Apple App Store (locatable by searching for “Pathcase” in the app store). The application provides browsing and interactive visualization functionalities on the KEGG data. Users can pick pathways, visualize them, and see detail pages of reactions and molecules using the multi-touch interface of iPad. Conclusions iPathCase KEGG provides a mobile interface to access KEGG data. Interactive visualization and browsing functionalities let users to interact with the data in multiple ways. As the importance of tablets and their usage in research education continue to rise, we think iPathCase KEGG will be a useful tool for life science instructors and researchers.
Silicon and the plant economics spectrum: a trait-based approach at the interface of physiological and ecosystem ecology.

Over the past three decades, plant ecologists have become increasingly interested in studying functional traits to better understand how terrestrial plants allocate their resources. This led to a prominent ecological theory: the ‘fast-slow’ plant economics spectrum, which describes a universal spectrum of plant economics comprising key plant properties. The spectrum runs from fast-growing species with traits associated to rapid resource acquisition to slow-growing species having traits involved in conservation of resources and investing more resources in anti-herbivore defenses. Although major nutrients have been included in the spectrum, the concentration of silicon (Si) in plant tissues has long been ignored, a significant omission given that vascular plants contain Si in widely variable concentrations, in some cases far exceeding those of macronutrients. Most previous ecological studies have considered Si as an anti-herbivore defense and structural component, which can substitute for carbon-based defense compounds, rather than integral to other aspects of plant eco-physiological strategies. The aim of SiliConomic is to leverage functional trait-based approaches to build an eco-physiological understanding of the role of Si in terrestrial ecosystems and determine its position in the plant economics spectrum. To do so, key characteristics of plant eco-physiological/defense strategies will be measured in Mediterranean shrubland/rangeland ecosystems along a unique long-term natural soil fertility gradient spanning two million years of ecosystem development, and a long-term fertilization/grazing experiment. A plant growth experiment under controlled conditions will be conducted to develop a mechanistic understanding of underlying processes. The project represents the first attempt to integrate Si in the plant economics spectrum, is based on exceptional environmental gradients and collaboration with world-leading researchers, and is of global interest in plant ecology.
CAISSON DE MISE EN ATTENTE D’ARMATURES DE LIAISON METALLIQUES

Ce caisson de mise en attente d’armatures de liaison (11, 12) entre deux parties d’un ouvrage en béton, est réalisé par le pliage d’une feuille en polypropylène alvéolaire, les alvéoles ou cannelures du polypropylène alvéolaire constitutif de la feuille pliée étant orientées perpendiculairement à la direction ou dimension principale du caisson. Il comprend : - deux faces principales (3, 4) parallèles entre elles, dont l’une est pourvue d’orifices partiellement ou totalement traversants afin de permettre le passage des armatures d’ancrage (11), - deux faces latérales (5, 6) reliant entre elles les faces principales (3,4).
Improving building information modelling by realtime tracing of construction processes

In the past 20 years, productivity in the European construction industry has increased by 1% annually only, which is at the lower end compared to other industrial sectors. Consequently, the sector has to step up its digitization efforts significantly, on the one hand to increase its competitiveness and on the other hand to get rid of its image as dirty, dangerous and physical demanding working environment. Construction industry clearly needs to progress beyond Building Information Modelling when it comes to digitizing their processes in such a way that all stakeholders involved in the construction process can be involved.
The true potential of comprehensive digitization in construction can only be exploited if the current status of the construction work is digitally integrated in a common workflow. A Digital Twin provides construction companies with real-time data on the development of their assets, devices and products during creation and also enables predictions on workforce, material and costs. B¦IMprove facilitates such a comprehensive end-to-end digital thread using autonomous tracking systems to continuously identify deviations and update the Digital Twin accordingly. In addition, locations of construction site personnel are tracked anonymously, so that B¦IMprove system services are able to optimize the allocation of resources, the flow of people and the safety of the employees. Information will be easily accessible for all user groups by providing personalized interfaces, such as wearable devices for alerts or VR visualizations for site managers. B¦IMprove is a cloud-based service-oriented system that has a multi-layered structure and enables extensions to be added at any time.
The main goals of B¦IMprove are a significant reduction in costs, better use of resources and fewer accidents on construction sites. By providing a complete digital workflow, B¦IMprove will help to sustainably improve the productivity and image of the European construction industry.
Building a robotics and artificial intelligence network

The Kobi Company (“Kobi”) is a young, award winning robotics company based in Leuven, Belgium.  The problem which Kobi solves and which is driving this demand, is the fact that in many labour-intensive industries, the number one problem for companies is finding skilled personnel whilst maintaining a competitive price. Manufacturers (OEMs) active in these industries know the market is demanding robotic solutions, but many do not have the expertise to tackle this robotization wave by themselves.  That is why OEMs turn to Kobi  and its patented and highly scalable robotics platform (the “Brain”) that can easily be integrated into existing OEM equipment and turn them into autonomous machines. The Brain far outperforms any existing alternative on the market today from a price/performance perspective.  Furthermore, the robotics platform is reinforced with an Artificial Intelligence layer to improve contextual and environmental awareness.  The product-market fit and economic feasibility has been confirmed by signed contracts Kobi has closed with several large OEMs.  Kobi has chosen for a business approach whereby existing OEMs are no longer regarded as direct competitors but as strategic partners. Establishing mutually beneficial strategic partnerships with OEMs will allow Kobi to capitalize on their strong (distribution) networks and sales channels, thereby achieving hyper-scalability. This SME project aims to fine-tune the Brain, finalise the go-to-market strategy, level the playing field with respect to the large OEMs, and the exploitation plan for immediate implementation to accelerate commercial scale-up so that the company can rapidly grow internationally. Revenue forecasts are expected to increase from ~€ 1 million in 2019 to ~ € 12 million by 2021 and €99 million by 2023. To support the surge in sales, Kobi demands a rapid employment increase, from 7 FTEs to 125 FTEs by 2023.