SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Chinese Environmentalism with European Characteristics

Le concept d’un environnementalisme chinois aux caractéristiques européennes trouve son origine dans la nécessité d’un savoir-faire européen en matière de politiques environnementales chinoises. Bien que la Chine soit très performante lors de transformations rapides, à l’instar de son passage de pays pauvre à l’économie la plus riche, sa finance verte reste sous-développée et de nombreux projets verts éprouvent des difficultés. De plus, même si elle tente de se maintenir isolée politiquement, elle cherche inévitablement à établir des partenariats économiques, l’obligeant ainsi à composer avec son autoritarisme. L’Union européenne pourrait offrir une solution à bon nombre de ses problèmes, en raison de sa grande expérience en matière de financement durable et des fonds dont elle pourrait disposer pour aider à la transformation de la Chine. Toutefois, un partenariat ne serait possible que dans certaines circonstances et sous certaines conditions. Étant donné que bon nombre des changements requis font déjà partie de l’accord global UE-Chine sur les investissements (AGI), une harmonisation pourrait être facilitée. Toutefois, c’est aux échelons politiques supérieurs du gouvernement chinois qu’appartient ce choix…
A Feynman–Kac–Itô formula for magnetic Schrödinger operators on graphs

In this paper we prove a Feynman–Kac–Ito formula for magnetic Schrodinger operators on arbitrary weighted graphs. To do so, we have to provide a natural and general framework both on the operator theoretic and the probabilistic side of the equation. On the operator side we identify a very general class of potentials that allows the definition of magnetic Schrodinger operators. On the probabilistic side, we introduce an appropriate notion of stochastic line integrals with respect to magnetic potentials. Apart from linking the world of discrete magnetic operators with the probabilistic world through the Feynman–Kac–Ito formula, the insights from this paper gained on both sides should be of an independent interest. As applications of the Feynman–Kac–Ito formula, we prove a Kato inequality, a Golden–Thompson inequality and an explicit representation of the quadratic form domains corresponding to a large class of potentials.
Method of constructing a tunnel lined with a tubing element

An articulated drilling tool (7) and a draw cable (6) is brought from ditch (3) to ditch and the tunnel opening (9) to be lined is formed in the ground (2) between the ditches. In one ditch a rotating tunnel boring machine (12) is fixed to the draw cable and with the aid of a tractive machine (20) in another ditch the tunnel boring machine is drawn from the first to the second ditch. At least three ditches are made and the draw cable is fed from one ditch over a second to a third. The ditch in which the tractive machine (20) is located, at least on the sides where a tunnel (1) is to be formed, is clad with a wall (4), which is interrupted at the position of the mouth of the tunnel and on it the tractive machine during drawing is supported.
NEW DRYING PLANT FOR INCREASING PRODUCTION CAPACITY

EXPANSION OF PRODUCTION CAPACITY THROUGH THE PURCHASE OF A NEW DRYING PLANT. INSTALLATION OF A COGENERATOR FOR A MORE EFFICIENT PRODUCTION OF ELECTRICITY AND THERMAL ENERGY IN ORDER TO REDUCE PRODUCTION COSTS AND ENVIRONMENTAL POLLUTION
SEctor Adaptive VIrtual Early Warning System for marine pollution

The proposed project SEAVIEWS, “SEctor Adaptive Virtual Early Warning System for Marine Pollution” aims at promoting and enhancing the capacity of transnational collaborations tackling environmental vulnerability, fragmentation and the safeguarding of ecosystem services in the wider Adriatic area. The SEAVIEWS project will bring together stakeholders from 6 partner states; namely Greece, Albania, Croatia, Montenegro, Italy and Slovenia.
The first output of the project refers to the development of a transnational repository network that will receive, store and analyse data about the sea water quality from a network of smart sensors allocated in critical points. Individuals will also be able to post real time observations regarding marine pollution using an application. Big data analytics tools will be incorporated making this an innovative virtual early warning system for preventing and managing the marine pollution from various sources. Within this network will be marine pollution hubs are proposed. These digital labs will be established and will be used as channels, so information, data analysis and research results to be circulated to the broader society. The ultimate goal of this output is to promote through the network the people’s understanding and sensitivity and therefore, engage them in the prevention of marine pollution.
The second output is targeting to the amendment of the macroregional action plan. Through the engagement of the national and regional authorities, the ultimate goal of the SEAVIEWS is to strengthen the marine environmental protection by implementing tools such as the big data for enhancing the marine environmental protection. In this context, an Industrial Committee will be established and evaluate and propose improvement actions by incorporating a dynamic decision policy process. Reaching its targets, SEAVIEWS could transform the Adriatic-Ionian Sea to the so called meta-national pioneer.
Coronavirus vulnerabilities and information dynamics research and modelling

Policymakers and public health experts unanimously recognise the disproportionate impacts of COVID-19 on vulnerable persons: even in countries with well-developed responses, the outbreak and its repercussions imperil the basic well-being of social groups whose livelihoods are already precarious, while the uneven distribution of suffering threatens to aggravate inequality and division. One complicating factor here is the intersectional nature of health and socioeconomic vulnerabilities. Another is the complexity of risk in contemporary socioecological systems. The COVINFORM project will draw upon intersectionality theory and complex systems analysis in an interdisciplinary critique of COVID-19 responses on the levels of government, public health, community, and information and communications. The project will conduct research on three levels: 1) on an EU27 MS plus UK level, quantitative secondary data will be analysed and models will be developed; 2) Within 15 target countries, documentary sources on the national level and in at least one local community per country will be analysed; 3) in 10 target communities, primary empirical research will be conducted, utilising both classical and innovative quantitative and qualitative methods (e.g. visual ethnography, participatory ethnography, and automated analysis of short video testimonials). Promising practices will be evaluated in target communities through case studies spanning diverse disciplines (social epidemiology, the economics of unpaid labour, the sociology of migration, etc.) and vulnerable populations (COVID-19 patients, precarious families, migrating health care workers, etc.). The project will culminate in the development of an online portal and visual toolkit for stakeholders in government, public health, and civil society integrating data streams, indices and indicators, maps, models, primary research and case study findings, empirically grounded policy guidance, and creative assessment tools.
Economic Inequality and the Social Capital Gap in the United States across Time and Space

Although researchers have demonstrated that economic inequality and social capital are inversely related in an aggregate sense across time and space, to date little is known about the relationship between inequality and the socio-economic disparity in social capital outcomes. Using yearly cross-sectional surveys of American twelfth graders fielded during 1976–2009, I show that social capital is strongly related to parental socio-economic status, and that this relationship grows in strength as economic inequality increases. This relationship is confirmed both over time and cross-sectionally. Finally, I argue that, between resource-based and psychological accounts of why this relationship exists, the former appears more promising.
Method and a package for extending the shelf life of a food

PCT No. PCT/SE96/00880 Sec. 371 Date Dec. 31, 1997 Sec. 102(e) Date Dec. 31, 1997 PCT Filed Jul. 1, 1996 PCT Pub. No. WO97/02182 PCT Pub. Date Jan. 23, 1997A method of achieving extended shelf life for a food includes enclosing the food in a discrete container of flexible or foldably formable material, wherein the shape of the container includes predefined crease lines for enabling the formation of the container into at least the following two container positions: a) a first container position obtained by the formation of folds along predefined crease lines such that opposing side wall panels of the container are arranged in relation to one another such that the distance between the side wall panels defines a first distance and b) a second container position obtained without the formation of folds along the predefined crease lines such that opposing side wall panels of the container are arranged in relation to one another such that the distance between the side wall panels defines a second distance. The first distance between the side wall panels is less than the second distance between the side wall panels. The method further includes treating the food in the container with heat in a treatment chamber while the container maintains the first container position, and thereafter, raising the container to the second container position. The second position of the container corresponds to that form under which the container is distributed, sold or used.
Sampling-Based Coverage Path Planning for Complex 3D Structures

Abstract : Path planning is an essential capability for autonomous robots; many applications impose challenging constraints alongside the standard requirement of obstacle avoidance. Coverage planning is one such task, in which a single robot must sweep its end effector over the entirety of a known workspace. For two-dimensional environments, optimal algorithms are well-understood. For three-dimensional structures, however, few of the available heuristics succeed over occluded regions and low-clearance areas. This thesis makes several contributions to sampling-based coverage path planning on complex three-dimensional structures. First, we introduce a new algorithm for planning feasible coverage paths. It is more computationally efficient in problems of complex geometry than dual sampling method. Second, we present an improvement procedure that iteratively shortens and smooths a feasible coverage path; robot configurations are adjusted without violating any coverage constraints. Third, we propose a modular algorithm that allows the simple components of a structure to be covered using planar, back-and-forth sweep paths. An analysis of probabilistic completeness accompanies each of these algorithms, as well as ensemble computational results. The motivating application throughout this work has been autonomous, in-water ship hull inspection. Shafts, propellers, and control surfaces protrude from a ship hull and pose a challenging coverage problem at the stern. Deployment of a sonar-equipped underwater robot on six large vessels has led to robust operations that yield triangle mesh models of these structures; these models form the basis for planning inspections at close range. We give results from a coverage plan executed at the stern of a US Coast Guard Cutter, and results are also presented from an indoor experiment using a precision scanning laser and gantry positioning system.
Upgrading of Energy Efficient Public Procurement for a balanced economic growth of SEE area

EFFECT proposal arises from the need to innovate SEE countries public procurement procedures and stimulate their integration with energy efficiency criteria to meet EU Public Procurement requirements and to contribute to achieve Eu energy strategy objectives. EU public procurement impacts for 16% on EU GDP and it is an important tool for public authorities to effectively address energy efficiency policies fostering production and consumption of energy efficient products/services. EFFECT general objective is to stimulate the adoption and adaption of EU renewable energy policies in SEE area, upgrading public authorities and energy local key actors, acting on the leverage of energy efficient public procurement (EEPP) as key instrument to improve competitiveness and promote balanced and sustainable economic growth in involved Countries,able to face the growing energy demand. Partnership, composed of RDAs, Innovation Development Agencies, REAs, Research Institutes, Local Authorities and Chamber of Commerce of 8 SEE countries, ensures the correct implementation of EFFECT action plan aiming to upgrade and qualify the demand and supply side of SEE target areas public procurement procedures guaranteeing the direct involvement of private/public local energy key actors. PP realize a detailed analysis on the state of application of EE criteria in SEE area public procurement procedures from the public and private sector point of view. PP use analysis results to upgrade and qualify, through training activities and local focus group, public sector/demand side and private sector/supply side competences on EEPP drafting and participation. Main project outputs and results are: 1) communication and dissemination plan; 2) EEPP guidelines in English; 3) 10 Memorandum of Understanding signed by the local authorities to commit to insert EEPP in next programming period 2013-2020; 4) 10 public tenders drafting for EEPP guidelines application; 5) 10 Operative Plans; 6) 1 Informational program and awareness campaign
Gust Alleviation Control Using Optimal Preview Control Method

Clear air turbulence (CAT) affecting safety operation of aircraft is one of essential problems when the number of aircraft operations increases and we have to reduce the accident rate. To suppress the dynamic motion of aircraft with high acceleration in turbulence, we consider an optimal preview controller which uses prior information of turbulence measured by a certain air speed sensor such as LIDAR (Light Detection and Ranging). The analysis which simulates the dynamic motion of MuPAL-α in actually observed turbulence shows that the proposed optimal preview controller can reduce the impacts on aircraft motion by turbulence such as 60% reduction of maximum acceleration comparing a controller without prior information. The robustness of the proposed controller to uncertainties is also examined.
Manly Games, Athletic Sports and the Commodification of Scottish Identity: Caledonian Gatherings in New Zealand to 1915

This article explores the development of Caledonian Gatherings in New Zealand from their first emergence in the 1860s until 1915. As one of the defining features of Scottish immigrant community life in the Diaspora, the Gatherings are a global phenomenon. In New Zealand, their development is intrinsically bound to that of Scottish associations, with Caledonian Games being, in fact, the crucial motor for the associations’ rise. The assessment of Caledonian Gatherings hence provides the key to understandig the Scots’ associational culture in New Zealand. At the same time, however, the Gatherings were not an exclusive Scottish event, the article documenting their wider community relevance. Outside of the tighter circle of Scots intent on the promotion of Caledonian sports, the Gatherings soon became a favourite holiday pastime throughout New Zealand. From the late 1880s, greater emphasis was placed on the athletic components of the programme. This is suggestive of the the tensions between Scottish traditionalists keen on maintaining the Games’ authentic character, and those seeking to promote them as amateur or professional athletic gatherings. By scrutinising the ways in which ‘Caledonia’ was commodified, and developed as a successful brand, the article explores the Gatherings’ dual purpose. Though born out of an ethnic tradition – hence serving as a site of memory – the article argues that Caledonian Gatherings were a central means for the Scots involved in their organisation to claim respectability in civic life.
Discovering functional protein-rna interactions through data integration and machine learning.

RNA-binding proteins are implicated across a wide spectrum of human genetic disorders, with molecular mechanisms ranging from aggregation of proteins and RNAs to defects in splicing and translation. Examples include heterogeneous and life-threatening genetic disorders such as Diamond-Blackfan anaemia, spinocerebellar ataxia and amyotrophic lateral sclerosis (ALS) among others.

The DeepRNA project targets genetic diseases via disease-associated variants in the human transcriptome and is enabled by recent data on expression quantitative trait loci (eQTLs) and experimentally determined RNA-protein and RNA-RNA interactions. The data will be complemented with high-quality RNA-protein interaction predictions carried out in the host group that has a strong track record in computing and validating RNA-protein associations.

To my knowledge the use of eQTL variants to study RNA-protein interactions is a novel approach and is useful for developing new tools for personalised medicine. My approach will expand the human interactome in a genome-wide manner beyond experimental data, which is currently available for only 352 of the 1,542 recently described RNA-binding proteins. Complementing experimentally determined interactions with predictions will allow me to expand my analyses of the human interactome to the genomic scale while maintaining accuracy, by using the experimental dataset as a gold standard. I will employ methods such as graph partitioning and graph neural network encoding to rationalise the effects of disease-associated variants on the human interaction network, and make quantitative predictions of polymorphisms associated with genetic diseases, thereby aiding personalised medicine.

I am confident  that this fellowship will equip me with the domain knowledge, independence and transferrable skills to confidently and creatively build an interdisciplinary, globally recognised research team within Europe that will focus on medically relevant human signalling systems.
SYSTEM, INFORMATION PROCESSING DEVICE, AND PROGRAM

A system is provided that detects the odor of air exhaled from a subject. Based on affection information and the odor, the system indicates features of the exhaled air related to a disease based on measurement information in which the affection information indicates affection or non-affection. The system also detects the odor in the air from a medical examinee. Based on the measurement information and the features, the system determines the possibility that the medical examinee will be affected with a disease.
Innovative high resolution electro-static printing of multifunctional materials.

The EU is well placed to exploit printed electronic technologies to create greater economic and social benefits for the EU, but only if we are able to commercialise innovative technologies created within the EU.

Ink jet printing technologies are at the forefront of printed electronic developments. However, Ink jet printing has only been able to achieve a resolution of >=10um and the viscosity of printable inks is limited to <40 centipoise, this further limits the solids content of inks to <30-Vol% and the size of the nano-fillers to <50nm typically. These factors limit the range of functional inks that can be printed as well as the resolution and final properties of the resultant printed/sintered structures and components.

The HI-RESPONSE project is based on highly innovative, patented Electro-static printing technology (ESJET) that has already been proven on TRL 4 to print to a resolution of 1um and be able to print inks with a viscosity of up to 40.000 cP. The resultant printed/sintered structures will therefore be able to achieve a high resolution and increase final component properties through enabling the printing of highly filled nano-inks and functional organic materials.

This technology will be further developed to TRL 6 within the project to allow for the design and assembly of a multi-head system that can achieve resolution, speeds and cost that far surpassed that of current ink-jet systems. The resultant system will be demonstrated at TRL 6 for a wide range of materials, including: nano-Cu and nano-ceramic filled inks and organic polymers. Each of these materials will be printed to create components specifically defined and specified by the industrial organisations within the consortium: Infineon, Ficosa, Piher (Meggitt) and Zytronic. The specific end-user defined applications are: Automotive aerials and sensors, metal meshed for OLED and touch screens, conductive through silicon vias and mechanical strengthening ribs for thin Si-wafers.
Comparison of AQbD and grid point search methodology in the development of micellar HPLC method for the analysis of cilazapril and hydrochlorothiazide dosage form stability

Abstract The development of stability-indicating method with isocratic elution mode based on micellar liquid chromatography for the analysis of cilazapril, hydrochlorothiazide and their degradation products was the primary aim of the present research. Since this could be done using different methodologies, two approaches were selected and comprehensively compared. The first one was risk based quality by design concept adopted by many analysts since it ensures development of robust analytical methods. The second one was multicriteria decision making approach currently interpreted in a form of experimental design complemented with grid point search is well established over past decades as a very useful way to govern analytical method development. Major drawback of later approach, related to method robustness evaluation, was discounted through proposition of simple and efficient computational procedure. Both methodologies ultimately resulted in successful chromatographic separations of all investigated substances which included analysis on XTerra RP 18 (3.9 × 150 mm, 5 μm) column with temperature set at 30 °C, mobile phase consisting of acetonitrile and Brij L23 aqueous solution (18 mmol L−1, pH 3.8) in ratio 13:87 (%, v/v) pumped at 1 mL min−1 flow rate while UV detection was performed at 215 nm. Both the 3D representation of a design space as well as grid obtained with later approach pointed out that the method performance criteria would not be compromised when amount of acetonitrile amount varies in range 12–14% (v/v), pH of the water phase in range 3.4–4.0, while concentration of Brij L23 aqueous solution can be within 15–20 mmol L−1. Hence, although the method development was based on different starting hypothesis, both methodologies enabled achievement of reliable and robust analytical methods that could serve in monitoring of cilazaprile and hydrochlorothiazide combined dosage form stability.