SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Chemical Logistics Cooperation in Central and Eastern Europe

The chemical industry in Central and Eastern Europe is mostly based on Russian raw materials. The use of roads and railways, the development of pipeline systems for the connection between the location of raw material and production in this context play an important role . Furthermore the important chemical locations in Poland, the Czech Republic, Slovakia, Austria, and Hungary are lacking a direct access to sea harbours, which provides them with competitive disadvantages due to higher costs which arise, compared to chemical locations with excellent access to sea harbours and connected waterways in Western Europe. _x000D_
Furthermore, disadvantages which can be detected are the disproportionate use of road transport and resulting lower use of low cost railways. In many regions, especially in Eastern Europe, road traffic has reached its capacity limit. Further deficits are a barrier to the development of the chemical clusters: Capacities and the expansion of transport infrastructure are not sufficiently oriented towards the needs. There is a lack of harmonisation of technical, administrative and social regulations and laws in Europe. _x000D_
A joint transnational strategy is therefore necessary to overcome these problems. The project will strengthen the territorial cohesion in Central Europe by developing a Central and Eastern European Chemical Logistics Network which will improve the framework conditions for economic growth and regional development. A modern and safe infrastructure is also the precondition for new investments, creation of employment and increased productivity. Especially in regions lagging behind, improved infrastructure will give further impulses for growth and convergence and improve the quality of life. Even more a better connection between the chemical locations is a precondition for the sustainable development of the industry in the long-run, especially taking into account the increased competition from Asia and the Far East.
A next generation telecommunication platform based on a nano-satellites constellation

Despite broad expansion of mobile networks, coverage gaps remain due to a lack of ICT infrastructure: 0.72bn people globally still lack access to basic voice and text services, with around 3.9bn (53% of the world’s population) lacking access to the internet at 3G speeds. The majority of these uncovered populations are low income and live in rural regions of Asia, Sub-Saharan Africa and Latin America. Current solutions for communication service in rural areas are based on large communication satellites (3,000 kg), leading to lengthy and costly development, as well as high costs of production, launch and operation. The central challenge in reaching uncovered communities is overcoming the unfavorable cost- benefit equation related to installing an operative communication infrastructure (with launch, maintenance and operating costs), whilst providing reliable and affordable communication. 
With a sophisticated and revolutionary telecommunication network infrastructure leveraging nanosatellite technology, the Pearls constellation of 200 nano-satellites will provide affordable and reliable communication services anywhere within the Equatorial band. An advanced space technology, combined with a complex software infrastructure, provides a robust satellite communication platform that can be accessed at a low price and from any commercial cell phone. SAS’s goal is to provide affordable communication services and coverage to billions of people living along the equator who currently have no access to simple communication service. 
During the feasibility assessment, a detailed scale-up plan to the constellation of 200 nano-satellites will be set up, and a supply chain will be established, as well as plan for the launch of 200 nano-satellites will be drafted.  During the second phase of project, SAS will upgrade the software, scale-up the control and management platform, and will launch 5 nano-satellites in Space.
Optimal design processes under uncertainty and reciprocal dependency

Design processes are characterised by uncertainty and iteration, making them difficult to plan and manage. These characteristics are incorporated into an original model in which information flow is simulated explicitly such that the dynamic complexity of design processes with interdependent tasks is captured. This is accomplished through the linkage of information exchange to the work done during each design task, the availability of resources, and the techniques used to manage the product development (PD) process. The model generates rework due to iteration and failure in design reviews according to the ability of tasks to reduce the uncertainty of design information. The model is applied to the investigation of coordination and its effects on process behaviour under various conditions. Coordination mechanisms are studied through the choice of input parameters that influence the degree of overlapping of tasks, the allocation of resources that process information, the delay of communication of information...
Cost effective self-management of urinary incontinence addressed to women across europe

Urinary incontinence (UI), considered as a disease according to the World Health Organization (WHO), is not a life-threatening condition, but causes a very negative impact on daily living and quality of life.  56 million European citizens  are affected by UI, which represents a serious impairment to the quality of their professional and personal life. Recent statistics show that 346 million people worldwide experienced any type of UI in 2008, which will increase to 420 million by 2018. In addition, when UI appears it is maintained throughout a lifetime if no solution is provided, causing huge social and economic costs (nearly $10 billion is lost every year in direct treatment cost and lost productivity due to UI).

The main objective of WOMEN-UP project is to improve the quality of life of urinary incontinence patients through a holistic and cost-effective ICT-solution, allowing for the self management of the chronic UI disease via a decision support system and a secure remote medical supervision.

This general objective is divided into the following specific objectives:

-To improve women’s’ health by providing lifestyle changes through an integral and multifactorial treatment.
-To develop an ICT-based system to facilitate a holistic solution for a conservative home treatment: Lifestyle interventions and pelvic floor muscle training with remote clinical assessment and supervision.
-To make eHealth tools for UI more effective, user-friendly and widely accepted by involving professionals and patients in strategy, design and implementation.
-To assess the cost-efficiency of the proposed ICT-based solution for significantly reducing health system costs by up to 72%
-To develop an innovative approach for the supervision of Pelvic Floor Muscles Training 
-To increase patient

The project WOMEN-UP will be developed by a consortium that brings together 9 partners from 6 different EU member states (Spain, Finland, Netherlands, Czech Republic, Romania, and Switzerland).
Critical Readings in Translation Studies

Critical Readings in Translation Studies is an integrated and structured set of readings that is prospective rather than retrospective in orientation. It opens up the field to innovative concepts and methods of research, and to voices and perspectives from a wide range of traditions. This collection provides students with a comprehensive overview of the latest developments in thinking about translation, both within and outside translation studies. Designed to be the most student-friendly volume available, this reader:

? Covers all the main forms of translation: oral, written, literary, non-literary, scientific, religious, audiovisual and machine translation
? Uses a thematic structure: topics covered include the politics and dynamics of representation, the positioning of translators and interpreters in institutional settings, issues of minority and cultural survival, and the impact of new media and technology
? Incorporates key approaches to conceptualizing translation: from textual and philosophical to cultural and political
? Includes core material from renowned scholars, but also innovative and less well-known work from scholars both in related disciplines and in the non-western world.

Complete with full editorial support, including detailed, critical summaries of each of the readings, a set of follow-up questions for discussion and recommended further reading for each article, this is an essential resource for all students of translation studies.

Readings from: Talal Asad, Mona Baker, Pascale Casanova, Eric Cazdyn, A.E.B Coldiron, Michael Cronin, Brad Davidson, Johan Heilbron, Theo Hermans, Moira Inghilleri, Hephzibah Israel, Marco Jacquemet, Alexandra Jaffe, Mohja Kahf, Indra Levy, Karin Littau, Ian Mason, Ab� Mark Nornes, Vicente Rafael, Rita Raley, Samah Selim, Zrinka Stahuljak, John Sturrock, Maria Tymoczko, Lawrence Venuti
System and method for adapting an analog echo canceller in a transceiver front end

There is disclosed an echo canceller circuit for use in a full duplex transceiver of the type comprising a line driver capable of sending analog transmit signals through a cable and comprising a line receiver capable of receiving analog receive signals from the cable. An echo canceller impedance model circuit is coupled to an output of the line driver and is coupled to an input of the line receiver. The echo canceller impedance model circuit generates an echo canceller current that is equal in magnitude and opposite in phase to a current that represents signal echoes that are present in the analog receive signals. The echo canceller impedance model circuit has a variable impedance for generating the echo canceller current. The variable impedance has at least one variable resistor and at least one variable capacitor. The values of resistance and capacitance in the echo canceller impedance model circuit are varied in response to control signals from a echo canceller control circuit to compensate for and cancel signal echoes.
Disposable sheet for the detection of radioactive substances

The present invention provides a disposable sheet including: a waterproof layer formed of a plastic sheet.; an intermediate colored layer formed of a water-based solvent absorbent material containing a dye soluble in a water-based solvent; and a non-colored layer formed of a water-based solvent absorbent material thereon. Contamination by a transparent and colorless toxic substance-containing water-based solution, which leaves no trace after drying, when the solution spills over the disposable sheet, can be easily detected and expansion of secondary contamination due to a hazardous material can be prevented. <IMAGE>
Business cycle fluctuations and household saving in OECD countries: A panel data analysis

Abstract We investigate the cyclicality of the household saving to household disposable income ratio for a panel of 16 OECD countries over the period 1969–2012. We find evidence that the household saving ratio is countercyclical. We empirically investigate whether the determinants of saving suggested by a standard buffer stock model of saving can explain this finding. The three main determinants of household saving implied by such a model (i.e., unemployment risk, household wealth and credit constraints) have a significant impact on the household saving ratio while their combined effect completely offsets its countercyclicality. The saving regression results are robust to potential endogeneity of the regressors, to making use of a reduced sample size that leaves out the period of the Great Recession, and to the one-by-one addition of variables suggested by alternative theories that also predict a countercyclical saving ratio.
Effect of proline on Triticum aestivum (wheat) under the drought conditions of salinity

Abstract Background The increasing salinity is a major problem in agriculture around the world. Salt stress results in inhibition or reduction in plant growth which affects productivity. Also, most of the crop plants like wheat are glycophytes, which are sensitive to even low salt concentrations. Hence it is important to find out the role played in plant salt tolerance by compatible osmolytes such as proline. Proline appears to be the preferred organic osmoticumin many plants. The proposed functions of proline under stress conditions include osmotic adjustments, protection of enzymes and membrane, as a hydroxyl radical scavenger, as well as acting as a reserve of energy and nitrogen for utilization during exposure to salinity. Method Wheat (Triticumaestivum) seedlings were grown in salt solutions ranging from 0.5 M to 5 M NaCl concentration for 7 days. The tissues were homogenized in 3% sulphosalicylic acid to obtain the extract. The extract was made to react with ninhydrin in acidic conditions to form a red chromophore which was read at 520 nm to determine the proline concentration. Result Experimental findings confirm the accumulation of proline under salt stress. There is a linear correlation between the given salt stress, and the proline accumulated implying the role of proline as a compatible osmolyte. Conclusion The development of salt tolerant crop varieties would have a huge impact in the agricultural economy. Salt tolerant genotypes would reduce pressure on water resources and low quality water could be used for irrigation. Engineering crops to accumulate compatible osmolytes like proline could be a nature friendly method of adapting plants to stress.
Reliable forward-reverse logistics network design under partial and complete facility disruptions

Although disruption risks may occur with a low probability in a supply chain network, they have negative financial impacts and also the recovery process from their destructive effects is very slow. This paper proposes a reliability model for an integrated forward-reverse logistics network design, which can cope with both partial and complete facility disruptions. The reliability model is formulated as a stochastic robust programming whose objective function is to minimise the fixed opening costs of facilities and the expected cost of disruption scenarios, including processing costs, transportation costs, and penalty costs for non-satisfied demands. For doing so, a recent robust optimisation approach is modified to protect the concerned network against partial and complete capacity disruptions. Furthermore, a stochastic programming is employed to account for all interested scenarios. Three numerical experiments are designed to study the effect of capacity disruptions on the concerned logistic network. Finally, the results of the proposed model are compared with the conventional robust optimisation models.
Health risk prediction models incorporating personality data: Motivation, challenges, and illustration.

The age of big in health has ushered in an era of prediction models promising to forecast individual health events. Although many models focus on enhancing the predictive power of medical risk factors with genomic data, a recent proposal is to augment traditional health predictors with psychosocial data, such as personality measures. In this article we provide a general overview of the medical risk prediction models and then discuss the rationale for integrating personality data. We suggest three principles that should guide work in this area if personality data is ultimately to be useful within risk prediction as it is actually practiced in the health care system. These include (a) prediction of specific, priority health outcomes; (b) sufficient incremental validity beyond established biomedical risk factors; and (c) technically responsible model-building that does not overfit the data. We then illustrate the application of these principles in the development of a personality-augmented prediction model for the occurrence of mild cognitive impairment, designed for a primary care setting. We evaluate the results, drawing conclusions for the direction an iterative, programmatic approach would need to take to eventually achieve clinical utility. Although there is great potential for personality measurement to play a key role in the coming era of risk prediction models, the final section reviews the many challenges that must be faced in real-world implementation. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Implementation and evaluation of mixed-criticality scheduling approaches for sporadic tasks

Traditional fixed-priority scheduling analysis for periodic and sporadic task sets is based on the assumption that all tasks are equally critical to the correct operation of the system. Therefore, every task has to be schedulable under the chosen scheduling policy, and estimates of tasks' worst-case execution times must be conservative in case a task runs longer than is usual. To address the significant underutilization of a system's resources under normal operating conditions that can arise from these assumptions, several mixed-criticality scheduling approaches have been proposed. However, to date, there have been few quantitative comparisons of system schedulability or runtime overhead for the different approaches. In this article, we present a side-by-side implementation and evaluation of the known mixed-criticality scheduling approaches, for periodic and sporadic mixed-criticality tasks on uniprocessor systems, under a mixed-criticality scheduling model that is common to all these approaches. To make a fair evaluation of mixed-criticality scheduling, we also address previously open issues and propose modifications to improve particular approaches. Our empirical evaluations demonstrate that user-space implementations of mechanisms to enforce different mixed-criticality scheduling approaches can be achieved atop Linux without kernel modification, with reasonably low (but in some cases nontrivial) overhead for mixed-criticality real-time task sets.
Dynamic Behavior of Magnetostriction-Induced Vibration and Noise of Amorphous Alloy Cores

Although the amorphous alloy core distribution transformers (AMDTs) have the advantage of lower no-load losses over orientation silicon–steel distribution transformers, a high noise level is inevitable. The vibration and noise for different positions of cores are still unknown. Understanding the vibration and noise behaviors of cores under operation is vital to reduce the noise of AMDT. In this paper, two cores from 10 kVA AMDT and 24-turn coils were used as the testing objects, and the ac voltage of 54.3 V was applied to the coils until the magenetic flux density attained 1.337 T. The finite-element method was used to analyze the cores’ magnetic-field distribution. An attempt was made to find the largest amplitude position of the cores by vibration sensors. Sensors were arranged on the surface of the cores according to the magnetic flux density distribution. A personal computer data acquisition platform was set up for signal measurement. Fast-Fourier transform and wavelet packet transform were integrated to analyze the vibration signals. The vibration amplitude related with time and frequency was discussed at different positions of the cores, and experimental results indicated that the position with the largest amplitude was in the middle of the core’s yoke and limb at 200 Hz. The experimental results suggested that magnetostriction played a major role in exciting noise and vibration. A filler of silicon rubber and foam under the cores can lessen the vibration energy. This performs well in reducing noise. All the above testing results and analysis are helpful to optimize the design and improve the manufacturing technology of AMDT.
An accessible and versatile augmented reality content creation tool for smes and large companies

VISCOPIC GmbH was founded in 2016 with the ambition to pave the way for Augmented Reality in the industrial
environment. Two years later VISCOPIC developed to one of the most innovative and promising Augmented Reality
companies in the world with over a dozen won awards. Companies worldwide are concerned with the digitalisation and thus
faced with the challenge of working effectively with the resulting data volumes. Always having the right information at the
right place is the key to increased efficiency. Augmented Reality (AR) will play a major role in future business. But for most
companies, the implementation of AR is associated with a large financial investment. To lower the entry barrier for
companies being interested in AR, VISCOPIC offers with VISCOPIC Pins a simple and versatile AR solution for small and
large companies alike. The accessible AR tool makes it easy to learn how to create AR content within an hour - without any
previous knowledge. In addition to individual information, multistep instructions can also be created in just a few minutes.
Especially the manufacturing industry is highly interested in the increased efficiency and flexibility, that can be achieved by
implementing good AR applications. Since VISCOPIC started their business with AR use-case consulting and custom AR
software, they are now able to provide a holistic service and an accessible solution for AR content creation. But for most
cases an accompanying consultation will not be necessary since VISCOPIC Pins is highly intuitive. This could be achieved
by collaborating with many pilot customers (such as Audi, Deutsche Bahn Netz, BMW, VW, TetraPak, Viessmann and
more). Hempleton Partners prognoses the market for AR to explode in the next four years and grow worldwide with a CAGR
of 85 % to a market size of around € 140 billion by 2022.
Measuring, monitoring and data handling for railway assets; bridges, tunnels, tracks and safety systems

Assets4Rail shares the Shift2Rail view of having an ageing European railway infrastructure that needs to cope with the expected increased traffics in the future. Likewise, reliable rolling stock will be required to crystallize the desired modal shift to rail. Both goals relay on a proactive and cost-effective maintenance and intervention system in the assets.
Assets4Rail aims to contribute to this modal shift by exploring, adapting and testing cutting-edge technologies for railway asset monitoring and maintenance. To achieve that, Assets4Rail follows a twofold approach, including infrastructure (tunnel, bridges, track geometry, and safety systems) and vehicles.
A dedicated information model (BIM) will be the keystone of the infrastructure part of the project. This model with integrated algorithms will gather and analyze the information collected by specific sensors which will monitor subsurface tunnel defects, fatigue consumption, noise and vibrations of bridges as well as track geometry. On the other hand, train monitoring will include the installation of track-side and underframe imaging automated system to collect data for detecting specific types of defects that have non-negligible impacts on infrastructure. The additional use of the RFID technology will enable the smooth identification of trains and single elements, associated with the identified rolling stock failures.
The combination of mentioned real-time collected data with existing data along the implementation of deep learning techniques for assessing large data volumes will pave the way towards a cost-effective and proactive maintenance process of infrastructure and rolling stock. In addition, two innovative intervention methods, noise rail dampers and the cleaning of long tunnel drainage pipes, will be validated on field.
Assets4Rail will benefit from a strong multidisciplinary consortium committed to concrete exploitation activities aligned towards the achievement of the challenging project objectives.