SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Developing innovative entrepreneurship through green economy applications and human resource training on green jobs in the cross-border area

The project aims to identify green innovation business opportunities in small manufacturing/trade/service application areas and to strengthen business cooperation and technology transfer. To achieve its aim, the project pursues the following objectives:

1. Set up a cross-border partnership that will help businesses of the eligible area: 1. Identify and pursue green innovation opportunities 2. Develop and implement green innovation practices 3. Reduce business risks and address economic crisis challenges, using toolkits to help develop and implement a green innovation action plan 4. Achieve environmental compliance and continually improve their performance 5. Maximize the efficient use of their resources through the implementation of green innovation best practice 6. Network with like-minded business 7. Connect to more experienced companies that have travelled further in the environmental maze and promote their innovative, environmentally friendly products in the eligible area and beyond.

2. Implement training programmes for green economy skilled workers, managers and the unemployed in order to enhance human resource skills in the proposed sectors.

3. Provide the tools, the support, and the information base to help cross-border businesses thrive in today's competitive green marketplace.
Land degradation neutrality: towards an earth observation-based early warning system for savannah degradation

Savannahs are important ecosystems that are found on almost half of the African continent. Unfortunately, they undergo massive conversions and are affected by land degradation processes leading to a decline in the ecosystem services they provide to some of the continent’s poorest and most vulnerable human populations. Reductions in the productivity of dryland savannahs have major social and political implications, and the United Nations (UN) has labelled the accurate quantification of savannah degradation as of high priority.

Monitoring the woody component of savannah land cover is, therefore, needed to enhance the understanding of broad-scale changes in savannahs & their relationship with ecosystem degradation. Over large scales, this can only be achieved in a cost-effective manner using Earth Observation (EO) technologies. The development of SAV-EO is, therefore, proposed which will employ novel remote sensing methodologies, based on thousands of freely-available optical & radar satellite data for the mapping & monitoring of fractional woody cover over the entire southern African savannah region (1,500,000km2). A monitoring tool that identifies underlying land degradation processes, such as bush encroachment & deforestation, will also be devised based on a dense time-series analysis approach using all available data from the 45-year long Landsat archive. Another objective of SAV-EO is to provide an advancement in the design of operational indicators for the assessment & monitoring of land degradation, within the Land Degradation Neutrality framework suggested by the UN, in order to achieve the target of the Sustainable Development Goals to combat desertification by the 2030.

The innovative algorithms, data & outputs will be made available open-access via a bespoke web-GIS platform & numerous dissemination & communication activities, thus providing an invaluable resource for scientists & policy makers alike.
&lt;p&gt;LA &lt;em&gt;CITTÀ DELLE DAME &lt;/em&gt;DI CHRISTINE DE PIZAN COME COSTRUZIONE DELLA MEMORIA COLLETTIVA DELLE DONNE&lt;/p&gt;

Questo saggio discute l’importanza di Christine de Pizan nella costruzione della memoria collettiva delle donne lungo la storia. La scrittrice italo-francese ha scritto La città delle Dame (Le Livre de la Cité des Dames) nel 1405, anticipando in maniera straordinaria argomenti che sarebbero stati trattati da Mary Wollstonecraft circa trecento anni dopo. Attraverso un’analisi discorsiva della Città delle Dame, tradotta in italiano da Patrizia Caraffi, la presente dissertazione cerca di collocare Christine de Pizan come autrice fondamentale per la comprensione della storia del pensiero femminista secondo un approccio politico e filosofico. In tal senso, proponiamo una riflessione su come Christine de Pizan ha reso possibile la fondazione della Città delle Dame come luogo di memoria culturale femminile, dove le donne guadagnano la gloria eterna e sono liberate dai suoi assalitori. Creando, fondamentalmente, un luogo simbolico che ha reso possibile lo sviluppo di una tradizione occidentale femminista.
Signaling of plant intracellular immune receptors

Plant diseases are an economic, environmental and social threat affecting crop production worldwide. Effective plant disease resistance is a critical requirement to maintain world food security. Deployment of resistance (R) genes in crops is currently the most effective strategy for genetic control of disease. However, this type of resistance can be short-lived and is often affected by environmental stresses such as elevated temperature, which is highly concerning in the context of global warming.
The proposed research aims to decipher the signaling function of intracellular plant immune receptors of the NOD-like receptor (NLR) family encoded by canonical and non-canonical (truncated) R genes. 
The opportunity at the heart of this project arises from the finding that N-terminal domains of NLRs act as potent signaling domains that are self-sufficient to activate immune responses independently of pathogen recognition and preliminary data indicate that this signaling activity is not compromised at elevated temperature (unlike full length NLRs). Hence, manipulating signaling downstream of pathogen recognition may lower the risk of resistance breakdown and provide a source of disease resistance adapted to global warming. Naturally occurring truncated NLRs lacking some of the canonical domains but containing N-terminal signaling domains are promising candidates to investigate this hypothesis. “SPLINTER” will focus on the signaling function of canonical and non-canonical NLRs in the major vegetable crop tomato, and the model plant Arabidopsis, mainly in response to the devastating phytopathogenic bacteria Ralstonia solanacearum and under temperature stress. This project will also establish a long-term research path for an early-mid career researcher returning to her home country.
A carrier-based analytical theory for negative capacitance symmetric double-gate field effect transistors and its simulation verification

A carrier-based analytical drain current model for negative capacitance symmetric double-gate field effect transistors (NC-SDG FETs) is proposed by solving the differential equation of the carrier, the Pao-Sah current formulation, and the Landau–Khalatnikov equation. The carrier equation is derived from Poisson's equation and the Boltzmann distribution law. According to the model, an amplified semiconductor surface potential and a steeper subthreshold slope could be obtained with suitable thicknesses of the ferroelectric film and insulator layer at room temperature. Results predicted by the analytical model agree well with those of the numerical simulation from a 2D simulator without any fitting parameters. The analytical model is valid for all operation regions and captures the transitions between them without any auxiliary variables or functions. This model can be used to explore the operating mechanisms of NC-SDG FETs and to optimize device performance.
Effect of additives on self-diffusion and creep of UO 2

Abstract The creep of UO2 doped with Nb2O5 and Cr2O3 has been assessed using a point defect model based on the law of mass action, and the diffusional creep according to the Nabarro-Herring mechanism, which relates the creep rate to the lattice self-diffusivity, the inverse of grain area and the applied stress. The self-diffusion coefficients of cation (U) and anion (O) are directly proportional to the concentrations of ions, which in turn are functions of dopant concentrations. The model has been used to evaluate past creep experiments on UO2 doped with Nb2O5 and Cr2O3 in concentrations up to about 1 mol%, with a varying grain size at different temperatures and applied stresses. The creep rate increases significantly with the dopant concentration and the putative model, after a modification of the creep rate coefficient, retrodict the measured data satisfactorily. A number of factors affecting creep rate and thereby our model computations are discussed.
The contradiction of Demotorisation: a Literature Argument

This paper is aimed at outlining the flexibility of capitalist consumption (Harvey, 1990) through a review of literature that has condemned the modernist era of the automobile for its consumerist tendencies but has failed to recognise that this flexibility of capitalism has been re-invented through demotorisation as a new tool for consumer culture. Demotorisation here is used to refer to the removal or partial removal of cars from roads and replacing it with cycling and walking. The research employs a review of theoretical as well as secondary empirical analysis. It must be emphasised that this paper is not aimed at discrediting demotorisation of streets but rather to point its postmodern nuances. Key Words : Demotorisation, Pedestrianisation, Consumerism, Automobile, Cycling, gentrification.
Teaching and learning in a competence‐based curriculum: the case of four secondary schools in England

This article focuses on four case study schools that have adopted innovative competence-based curriculum (CBC) projects in Year 7 for a variety of educational and social reasons. The article discusses the issues and challenges posed by the CBC for teachers in the daily life of the classroom. Philosophical ideas about the purpose of education vary because they are driven by ideological positions. Consequently the nature and structure of the curriculum influenced by the stance adopted inevitably affects approaches to teaching and learning. It is contended that changes to the curricula in the case study schools have revealed tensions between traditional approaches to teaching and learning with ‘strong’ classification and framing and the new, more progressive approaches with ‘weak’ classification and framing. These tensions impact on teachers’ identities and this can make effective classroom practice problematic. The article concludes that managing the tensions between traditional and more progressive pedagog...
The stress-vulnerability model how does stress impact on mental illness at the level of the brain and what are the consequences?

The stress -vulnerability model (Zubin et al. 1977) is an extremely useful model for identifying and treating relapses of mental illness. We accept that human persons carry genetic and other predisposition to mental illness. However, the question arises as to how stress impacts on a person in order to cause mental illness to develop. Furthermore there arises the issue as to what other effects such stress has on the human body beyond the human brain. Our aim was to research and integrate the current literature in order to establish how stress impacts on the brain at the cellular level, and to establish whether there are other consequences for the human body brought about by the impact of stress on the human brain.Literature Search, using pubmed.We have identified much literature on how stress affects biological mechanisms within the brain, and how it relates to biological vulnerabilities carried by different individuals.We have identified communalities in how the interplay between stress and vulnerability occurs in different disease processes.
WEB MARKETING MEMENTO MASCOTA

CAMPAÑA PROMOCIONAL EN LAS REDES SOCIALES DIRIGIDA A LA COMERCIALIZACIÓN DE UNA NUEVA LÍNEA DE URNAS DEDICADAS A LOS ANIMALES LLAMADOS «MEMENTO DE MASCOTAS»
INHIBITORY ANTIBODY FRAGMENTS TO HUMAN TISSUE FACTOR

The present invention relates to a novel antibody fragment that inhibits the action of human Tissue Factor thus inhibiting blood coagulation The present antibody fragment may be obtainable by selection by means of phage display procedure or by way of recombinant techniques and can be used in a variety of methods for diagnosing, treating and/or preventing diseases or disorders
A low power programmable gain amplifier with 70-dB control range in CMOS technology

This paper presents a low power programmable gain amplifier (PGA) for low intermediate frequency (IF) Zigbee transceiver applications in 0.18-µm CMOS process. The designed PGA uses ac coupling between the stages to avoid the amplification of DC offset. The post-simulations demonstrate the gain of the PGA can be varied linearly from 0 dB to 70 dB with a step size of 2 dB. The PGA can operate even if an input DC offset of 30 mV. The differential output swing is 1.2 V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">pp</inf> . The simulated 3 dB bandwidth is higher than 15 MHz and the gain error is less than 0.7 dB with capacitive loads of 2 pF. The PGA consumes only 4mW from 1.8 V supply. The chip area is 1.50×0.80 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .
Urban air temperature and wind speed variability: empirical modeling to improve planning applications

Climate change induces warmer summers and more frequent and intense heat waves, increasing human mortality and energy demand for cooling purpose. This is particularly critical in urban areas where climate variables such as temperature, humidity, wind and radiation are modified by the urban morphology, the lack of pervious soils and the human activities. While the urban population is likely to grow, it is urgent to make cities cooler. The overall goal of my project is to determine the urban fabric characteristics (mainly the morphology, vegetation cover and land-type) affecting the air temperature and the wind speed spatial variability. This new knowledge will be integrated in the Geographical Information System software QGIS in order to make it easily available to researchers working with urban issues as well as urban planners. First, empirical models will be developed to relate observed air temperature and simulated wind speed values to geographical indicators characterizing an observed or a simulated location (e.g. distance to building facade, vegetation or building density, etc.). Second, these models will be integrated in the QGIS software and thus will be available for interdisciplinary research purposes. Third, I will investigate the coupling of the urban climate models with energy models devoted to building energy estimation or solar energy production which are developed by the University Savoie Mont-Blanc (USMB - partner organization).
The models developed during Urb-TWin will be useful for the urban climate research community since they could be used to speed up CFD simulations used in urban climate models. Moreover, they will also be available for urban planning applications from the widely known QGIS plat-form. Last, thanks to the Urb-TWin training and secondment, I will also increase my probability to get a permanent position as leader of an urban climate research axis at the partner organisation in the next years.
Face Recognition Using Multiple Classifier Fusion: Multiple Classifier Fusion Based Face Recognition System for Person Identification

Recently classifier combination methods have proved to be an effective tool to increase the performance of pattern recognition applications. There are numbers of different Decision Support System (DSS) that has developed to operate on the minimum input data set or the output data set to give the correct decision. A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the face recognition performance. In this book, a face recognition system has been developed by applying multi-classifier fusion on the output of the three different classification methods namely Artificial Neural Network, Genetic Algorithm and Euclidean distance measure based on the Principal Component Analysis dimensionality reduction technique. Experimental results and performance analysis show the comparison results between multi-classifier fusion based face recognition system with individual classifier performance.
Examining Perceptions of a Smartphone-Based Intervention System for Alcohol Use Disorders

This study presents results from qualitative interviews conducted with participants in a study on the effectiveness of the Location-Based Monitoring and Intervention System for Alcohol Use Disorders (LBMI-A), a smartphone-based, stand-alone intervention application (app) for adults with alcohol use disorders.Participants were provided an LBMI-A-enabled smartphone to use during a 6-week pilot study. The LBMI-A was composed of psychoeducational modules, assessment and feedback of alcohol use patterns, geographic high-risk location monitoring and alerts, and in vivo assessment and intervention for alcohol cravings and help with managing psychological distress. Semistructured interviews were conducted with all participants following 6 weeks of interacting with the LBMI-A app (n=26). Interviews explored user perceptions of the ease and utility of LBMI-A features, module helpfulness, barriers to use, and recommendations for improvements to the program. Researchers applied a systematic qualitative coding process to transcripts that included both a priori themes identified as important by the research team and new themes that emerged during the coding process.Narrative analysis found the emergence of five main themes identified by LBMI-A users as the most helpful functions of the phone: (1) Awareness, (2) Accountability, (3) Skill Transference, (4) Tracking Progress, and (5) Prompts. These themes are explored, and implications of these findings for future smartphone-based interventions are discussed.
Food as a means of dialogue in Mediterranean Contexts

Project in brief _x000D_
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The Mediterranean Diet has recently been included by the UNESCO in its Intangible Cultural Heritage List while the Council of Europe acknowledges the diet key role in promoting tolerance and diversity. At the same time the Food and Agriculture Organization, due to the continuing development of individualistic societies, considers this diet “decayed into a moribund state”. Against growing globalization, the conservation of the Mediterranean culinary heritage represents an important factor in maintaining its richness, healthy character and bio-diversity. As a contribution to this challenge, SLOWMED project aims to promote creative intercultural dialogue with a view to consolidating a Mediterranean cultural identity based on its culinary heritage and to encourage the intergenerational_x000D_
transfer of traditions to young people. Considering food as “a work of art”, the project will also involve a wide range of artists from the Mediterranean region in a new way of highlighting the culinary heritage. Food contests, artistic competitions and educational workshops addressed to children will help spread the project’s message to various social groups of the Mediterranean area. _x000D_
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Specific objectives _x000D_
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• To encourage the Mediterranean culinary heritage preservation and conservation _x000D_
• To promote the recognition of food as a form of cultural and artistic expression _x000D_
• To foster nutrition education based on the Mediterranean culinary heritage
Peer-To-Peer learning:  accessing innovation through demonstration

The PLAID project (Peer-to-peer Learning:  Accessing Innovation through Demonstration) will identify, compile and make publically accessible the topics, locations, best practices and innovative approaches to demonstration on commercial farms in the EU 28, Switzerland and Norway.   PLAID will enable access to demonstration activities by creating a searchable georeferenced inventory and map covering all 30 countries; developing ‘virtual’ (on-line) demonstration approaches with commercial farmers; assessing governance, commissioning, financing, topic selection, access (particularly gender), mediation techniques and impact in 24 longitudinal case studies; and comparing the impact of different governance models and financing mechanisms on learning processes and accessibility.  PLAID will produce recommendations for governance and best practice in both real and virtual demonstration settings, using these to develop indicators and decision support tools for farmers, advisors, commercial companies, charities, educators, policy makers and researchers.  PLAID is a multi-actor consortium, using a multi-stakeholder approach, where farmers, industry stakeholders and academics work together as to design, test and validate outputs. PLAID has been designed to achieve high impact, through generation of a substantial set of knowledge exchange activities and project outputs, which will be hosted long-term on PLAID stakeholder web-sites, You Tube and the EIP Agri Service Point. PLAID will initiate a community of practice, which together with the above activities and outputs will provide a solid foundation for RUR-12-2017: “Networking European farms to boost thematic knowledge exchanges and close the innovation gap” and provide substantive input to the EIP Agri database.
Internal tides around the Hawaiian Ridge estimated from multisatellite altimetry

[1] Satellite altimetric sea surface height anomaly (SSHA) data from Geosat Follow-on (GFO) and European Remote Sensing (ERS), as well as TOPEX/Poseidon (T/P), are merged to estimate M2 internal tides around the Hawaiian Ridge, with higher spatial resolution than possible with single-satellite altimetry. The new estimates are compared with numerical model runs. Along-track analyses show that M2 internal tides can be resolved from both 8 years of GFO and 15.5 years of ERS SSHA data. Comparisons at crossover points reveal that the M2 estimates from T/P, GFO, and ERS agree well. Multisatellite altimetry improves spatial resolution due to its denser ground tracks. Thus M2 internal tides can be plane wave fitted in 120 km × 120 km regions, compared to previous single-satellite estimates in 4° lon × 3° lat or 250 km × 250 km regions. In such small fitting regions the weaker and smaller-scale mode 2 M2 internal tides can also be estimated. The higher spatial resolution leads to a clearer view of the M2 internal tide field around the Hawaiian Ridge. Discrete generation sites and internal tidal beams are clearly distinguishable, and consistent with the numerical model runs. More importantly, multisatellite altimetry produces larger M2 internal tidal energy fluxes, which agree better with model results, than previous single-satellite estimates. This study confirms that previous altimetric underestimates are partly due to the more widely spaced ground tracks and consequently larger fitting region. Multisatellite altimetry largely overcomes this limitation.
Depth-Integrated Estimation of Dissolved Oxygen in a Lake

The majority of variable estimation studies in water resources investigate the temporal variation of the variable. In this study, we examined the depth-dependent estimation of a lake’s dissolved oxygen (DO) using two artificial neural network (ANN) methods: (1) the radial basis functions (RBFs) and the feed forward back-propagation (FFBP), and (2) the multilinear regression (MLR). We tested two different input layer configurations. In the first case, we employed all other available lake parameters—total dissolved solids (TDS), pH, conductivity, lake depth, and lake temperature—to estimate DO. In the second case, we considered only depth and temperature to estimate DO. The performance evaluation criteria of these two cases were close. ANN estimation performances were noticeably superior to those of MLR, as reflected in the performance evaluation criteria and DO lake depth plots. We saw that the spatial variation of the lake’s DO can be captured by ANNs satisfactorily, even if available measurements are qui...