SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Contrôle des performances des antennes par les métamatériaux

The work in this thesis deals with metamaterials, its components and applications. A historical overview about these materials, features and researches in the domain are presented. Chiral media, binaisotropic materials and photonic crystals are also studied in order to visualize physics behind metamaterials.Electromagnetic properties in complex media are widely investigated. Starting from Maxwell’s equations, bi-anisotropic materials and their effect are deeply analyzed whereas two types of Split Ring Resonator (SRR) are treated to determine constitutive parameters of Left Handed Materials (LHM). The metamaterials are also studied as photonic crystals since the effective medium approach is not applicable when the dimensions of the inclusions tend to the operating wavelength.Moreover, SRRs and Multi SRRs are synthesized analytically and electromagnetically in order to extract their resonant frequencies. Consequently, these components could be introduced in any design; Artificial Magnetic Conductor (AMC) surface is an efficient case. Thus, a low profile antenna positioned over such surface is examined as an application of metamaterials. The results of directivity, gain and reflection coefficient are of great importance and affirm the employing of metamaterials in such applications. A dual band PCB antenna, as another application of metamaterials, is designed and simulated. The SRR element studied in the previous chapters is used as the trap which inserted in the arm of the antenna in order to create another resonance, and consequently another band is created.
Diamond and metal photo-electrocatalysts for hydrogen evolution and carbon dioxide reduction

Climate change, increased energy demand, and greenhouse gases have major impacts on the environment. Following the recent International Climate Change conference in Paris, many nations have initiated measures to fulfill their agreements to reduce carbon emissions and promote renewable energy. In addition, EU Horizon 2020 has the major priority to invest funds in development of secure, clean and efficient energy methods. Currently, the most efficient way to produce the clean energy source H2 requires platinum. However, this metal is highly scarce and expensive. Carbon Dioxide conversion to synthetic fuels such as CO, formaldehyde is likewise mainly performed by expensive metals, and at high temperatures which are unsustainable. Therefore, there is a strong incentive to develop alternative, sustainable catalysts based on cheap, earth-abundant materials. 
In this project, we are going to use the diamonds as nano materials which can release electrons into solution upon illumination; the electrons can be used by the transition metal complexes for the production of hydrogen and to convert CO2 into valuable chemicals such as CO, formic acid. The inspiration comes here from the natures photosynthesis where the sunlight is harvested by plants to fix CO2 to valuable chemicals such as carbohydrates. Diamond is unique in its ability to produce solvated electrons directly into solution upon irradiation; these electrons are highly reducing and have capacity to activate CO2. This projects aims to improve the selectivity and efficiency of the reduction process by coupling the reducing electrons from diamond with the most effective transition metal catalysts from literature. Furthermore, this project will provide a new set of skills required for becoming an independent researcher in the highly important sustainable energy field.
BED DEVICE

A combination of two devices applied to a bed frame prevents the spread and sag of the bed rails.
Analysis for upper abnormal current in North Pacific without equatorial area

In this paper,using the combining complex empirical orthogonal function(CEOF) analysis,the dynamic statistic diagnosis about the upper abnormal circulation of the months of the year in North Pacific without equatorial area is carried out.It is done to compare with abnormal circulation in equatorial Pacific.Main results are discussed as follows: the upper abnormal circulation of North Pacific mainly occurs in the sea area(the key area)to the east and south of Japan Honshu,and only very small part of the North Pacific area is covered by the key area;with the exception of the key area is carried out,the abnormal circulation is not obvious.Although the squares of the first mode and the second mode to the whole anomaly in the key area are smaller than those in equatorial Pacific,their contribution are not small to the abnormal circulation in the key area above.In the sea area above,the first mode represents a pair of vortices in the trend of east northeast to west southwest with reverse rotation direction,that is a couple of anticyclone and cyclone;the form of the second mode also mainly represents some vortices.Both of the first and the second modes' time coefficients have two states,and the two modes' numeric values determine the strength of their deviation flow fields.The bigger the modes' numeric values are,the greater deviations' degrees are.The wavelet analysis shows that both of the two modes' time coefficients have interannual variations and interdecadal variations,clearly.The two modes above are caused by wind stress anomalies driving seawater near the western boundary,whose nature is ocean Rossby wave,which is different from Kelvin wave in equatorial Pacific,but the two waves have a close relation with the abnormal wind stress.
Addressing Issues in the Development and Use of the Composite International Reference Values as Rorschach Norms for Adults

This article describes 3 studies evaluating normative reference data for the Rorschach Comprehensive System (CS; Exner, 2003, 2007), with a particular focus on the viability of the Composite International Reference Values (CIRVs) that were compiled from 21 adult studies by Meyer, Erdberg, and Shaffer (2007). Study 1 documented how the CIRV norms are virtually identical when organized into 3 groups differentiated by the quality of their data collection effort, including an optimal group of 4 samples that relied on multiple experienced examiners and provided ongoing quality control over administration and coding. Analyses also showed that relative to the group of more optimal samples, the group of less optimal samples did not produce more variability in summary scores within or across samples or lower interrater reliability for coding. Study 2 used the existing CS reference norms to generate T scores for the CIRV means and documented how the CS norms make other samples of healthy nonpatients look psychologically impaired in multiple domains. Study 3 documented with examples from 4 different countries how 2 sets of within-country local norms produced notably different results on some variables, which compromises the ability of local norms to be used instead of the CIRVs. Taken together, the 3 studies provide support for the use of CIRVs in clinical practice as norms that are generalizable across samples, settings, languages, and cultures and that account for the natural variability that is present when clinicians and researchers contend with the ambiguity contained in the standard CS reference materials concerning the proper ways to administer and code. We conclude by urging CS users to rely on the CIRVs when making clinical inferences and to adopt alternative methods of ensuring they are following cohesively standardized administration and coding guidelines.
Inclusive futures for europe beyond the impacts of industrie 4.0 and digital disruption

BEYOND4.0 aims to help deliver an inclusive European future by examining the impact of the new technologies on the future of jobs, business models and welfare. We use a multidisciplinary research approach undertaken by a top-tier consortium with stakeholder engagement throughout the project.
BEYOND4.0 has five objectives: 1. Provide new, scientific insight into technological transformation; 2. Provide new, scientific insight into company strategies dealing with technological transformation; 3. Examine the impact of technological transformation on: a. quality, content, and distribution of work; b. skill needs; c. education and training; d. value creation by companies; 4. Identify policy options for: a. fiscal policy (e.g. robot taxes); b. welfare policy (e.g. basic income); 5. Identify social investment approaches and tools for inclusive growth.
BEYOND4.0 generates this by: 1. Building on state-of-the-art research and other EU projects, 2. Using innovative methods, and 3. Combining historical, EU-wide, regional and company level data. We generate three new outcomes: 1. Scientific understanding of new technology impact; 2. Diagnostic and developmental tools to lever technological opportunities; 3. Evidence-based support for social and competitive EU policy strategy. BEYOND4.0 carefully disseminates and valorises results.
BEYOND4.0 addresses the general priorities of the H2020 Work Programme (2018-2020) ‘Europe in a changing world - Inclusive, innovative and reflective societies’. We will: 1. Better address challenges of the 4th Industrial Revolution in context of digitisation by providing alternative policy options; 2. Contribute to equitable, sustainable prosperity through scientific evaluations, co-creation and bottom-up solutions; 3. Contribute to UN’s Sustainable Development Goals 1, 2, 5, 8 and 9. In conclusion, we provide insights and measures that help address poverty, equality, decent work, inFormulating an alternative for a low road Industry 4.0. approach.
Artificial intelligence revolution in beekeeping sector: the “internet of bees”

Bees are essential for human life, environment health and food production, with more than 80% of the world's food supply depending on pollination activity. Honeybees’ population is threatened by extensive use of pesticides, pathogens/parasites, trauma related to poor beehive management and climate changes. The yearly mortality rates of bees are in the range of 26% in Europe, reaching 40-50% in some countries and seasons. To reduce the incidence of bees’ mortality and improve profitability of the operators, it is essential to have tools to support efficient management of treatments and of beekeeping practices. HIVE-TECH is an IoT data-driven Decision Support System based on Artificial Intelligence algorithms for optimized beekeeping management. HIVE-TECH allows reducing the use of medical treatments and optimizing the beekeeping practices by analyzing the main life parameters of a colony: production of honey, amount of feed stock during winter, temperature and air quality in the hive, buzzing sound spectrum, integration with images from satellite and weather data. Thanks to proprietary predictive algorithms, HIVE-TECH can identify anomalous conditions (swarming, brood-less colony, queen stopping egg-laying, reduction in production, lack of feed stock, etc) and provide proactive suggestions for efficient management, acting as a Decision Support System.  The use of HIVE-TECH was proven to reduce the mortality of bees of 20%, reduce operation costs of 20% and increase the yield of production of honey of 30%.  Thanks to Data Analytics algorithms on Big Data collected, HIVE-TECH will also provide services to chemical and pharma companies, research institutes and authorities, assessing health status of bees connected to the use of new treatments, nourishments and pesticides. This represents a breakthrough solution with high potential business and huge environmental and social impact, allowing the creation a new paradigm that we name the “Internet of Bees”.
Investigation of trihalomethanes formation potential in Karoon River water, Iran

Organic matters in raw water have a potential to generate harmful disinfection by-products such as trihalomethanes (THMs) during the chlorination process. The objectives of this study were to investigate the trihalomethane formation potential (THMFP) in Karoon River water and to determine the effect of several factors including total organic carbon (TOC), pH, chlorine dosage, water temperature, and seasonal variation. The results showed that, among all factors, TOC and water temperature have a remarkable effect on THMFP. The experimental results from batch studies indicated that increasing of pH value yielded a greater THMFP concentration for Karoon River water. THMFP levels of Karoon River water in summer times, when water temperature exceeded 26°C, were 1.2-1.6 times higher than in the spring and fall seasons, when water temperature was below 15°C. It was found that the measured THMFP at Karoon River water in the spring and fall seasons were very rarely higher than 100 μg/L.
Acclimatization scenarios and early warning system of temperature-related mortality in europe

The research proposed in this project is focused on the study of one of the most challenging and potentially-dangerous impacts of climate in European societies: the mortality associated with environmental temperatures in the current context of global warming. The research objectives of the proposal are (i) the description of the dependency between counts of deaths and climate variables contributing to increased body stress, (ii) the inference of future projections of mortality under scenarios of increased greenhouse gas concentrations, (iii) the study of the effect of adaptation measures on these projections, and (iv) the development of an early warning system of mortality risk as a climate service for European societies. During the implementation of all these objectives, the main results and conclusions of the research will be communicated to the general public and disseminated in specialized circles within and outside the research field. The research and methodology here proposed are clearly innovative, given that the project will integrate climate information and tools with unprecedented high-quality mortality and sociodemographic data in a multidisciplinary approach that will take into account the degree of adaptability of human societies and individuals to scenarios of increased greenhouse gas concentrations in the atmosphere. In this sense, the design of the proposal clearly fits into the main guidelines and objectives defined by the European Commission in the work programme of the initiative Horizon 2020, which contributes to the generation of climate services that provide useful guidance to health care systems, governments and policy makers throughout Europe.
Intuitive, rapid and efficient in-situ measurement of complex transparent 3d objects with a focus on cultural heritage artifacts

Transparent 3D will create an easy-to-use, non-contact measurement hardware and software package to dramatically reduce the cost of measuring complex transparent objects by greatly accelerating and streamlining the measurement procedure. The technique used will be based on the principle of non-contact high-incidence structured light. The hardware and software package will employ a combination of artificial intelligence, augmented reality, structured light, data fusion and human operator real-time feedback in order to optimize and simplify the full 3D reconstruction process of complex transparent objects. 

The feature of real-time feedback and guidance to human operators in particular would allow a non-expert to acquire a complete measurement of a transparent object in the minimum amount of time and with the minimum amount of raw data, thus making the process practical, cheaper, less demanding in terms of data storage and more accessible to curators and novice users. This unprecedented and markable improvement will make the process fast and cheap enough to enable the 3D documentation of thousands of sensitive transparent 3D cultural heritage objects in situ.

The impact of the platform created and its competitive advantages over existing techniques will be demonstrated in the field with a multi-national cultural heritage case study conducted at three cultural heritage institutions in Greece, Italy and France.

This proposal was also submitted in last year's Standard EF MSCA funding round (Proposal No. 841298) with the same acronym 'Transparent3D' and received the EU Commission's Seal of Excellence on 19/03/2019. Since then reviewer comments have been addressed and an extra case-study partner has been added to the list of supporting institutions (The Androidus Project Tank).
Review Essays Symposium: The Winter of Discontent

Three decades after the events themselves and with full access to the public record, historians and political scientists are now well placed to revisit and re-evaluate the ‘Winter of Discontent’. This article reflects on the first book-length studies of the period published since the opening of the archives. I argue that although neither study profoundly alters our view of this crucial episode and its place in the pre-history of Thatcherism, taken together the evidence they uncover might provide the basis for an alternative assessment. Ultimately, however, such an assessment requires more attention to methodology and, above all, an approach to the archives and to witness testimony that is both more inductive and more deductive than that exhibited in the existing literature. In the process I hope to clarify what we now know and we have still to learn about the winter of 1978–79 and the popular mythology to which it gave rise.
Molecular foundation of structural and dynamic transformations in novel sodium-ion battery materials

The future of widespread clean energy relies heavily on understanding, developing, and optimizing materials for electrochemical energy storage. To date, a limited understanding of how short-range structures influence macroscopic device properties during operation has hindered implementation of promising technologies such as sodium-ion batteries. Here, we aim to use NMR spectroscopy to provide molecular-level insight into the chemical mechanisms underpinning structural and dynamic changes in novel phosphorus- and phosphide-based anodes and correlate these changes with sodium-ion performance figures or merit, including capacity, retention, charging rates, and lifetime. The impact of anode structure and dynamics on electrochemical properties in batteries will provide insight into new materials that can achieve high performance for electrochemical energy storage.
Synthetic catch bonds

All primary chemical bonds, covalent and supramolecular, weaken under tension. This imposes fundamental limits on the mechanical stability of molecules and their materials. Nature has evolved to secondary bonds that break through these limits and strengthen under tension. These so-called catch bonds, which know no synthetic equivalent to date, are used in Nature as a rule, rather than exception, in scenarios where supramolecular bonds are exposed to large stresses.   This change in the fundamental mechanical nature of bonds has a profound effect on the mechanics of the materials in which they are integrated. Yet, to date, there have been no systematic studies that establish how the mechanics of individual catch bonds is programmed by their chemical design or how their collective action results in enhanced mechanics of their materials. As a result, our understanding of the ubiquitous use of catch bonds in Nature is incomplete nor do we have clear guides how their potential can be harnessed in creating bio-mimetic soft materials with programmable mechanics.  Project CATCH tackles these challenges by bringing catch bonds to the synthetic domain for the first time. Their de-novo creation gives unprecedented control to establish the design rules for the mechano-activity of single bonds. Moreover, CATCH will systematically explore how the concerted action of many catch bonds within a material lead to material properties that cannot be accessed by any other means, such as the adaptive reduction of strain localisation and the filtering of mechanical signals, which is of crucial importance for mechanical communication between cells in tissue engineering.  Through a multidisciplinary approach that builds on my expertise in synthetic and materials chemistry, single-molecule experiments, and multiscale mechanical experiments and modelling, this project will decipher and harness one of Nature’s most ubiquitous, but poorly understood, mechanical design strategies.
Thiadiazole derivatives active on the central nervous system, process for their preparation and pharmaceutical compositions containing them.

Thiadiazole derivs. of formula (I) and their pharmaceutically acceptable salts are new. R = 1-5C alkyl 5-6C cycloalkyl or phenyl (opt. substd. by 1 or 2 halo, pref. Cl, or by a lower alkyl or alkoxy).
Improving the model checking of stutter-invariant LTL properties

Software systems have become ubiquitous in our everyday life. They replace humans for critical tasks that involve high costs and even human lives. The serious consequences caused by the failure of such systems make crucial the use of rigorous methods for system validation. One of the widely-used formal verification methods is the automata-theoretic approach to model checking. It takes as input a model of the system and a property, and answers if the model satisfies or not the property. To achieve this goal, it translates the negation of the property in an automaton and checks whether the product of the model and this automaton is empty. Although it is automatic, this approach suffers from the combinatorial explosion of the resulting product. To tackle this problem, especially when checking stutter-invariant LTL properties, we firstly improve the two-pass verification algorithm of Testing automata (TA), then we propose a transformation of TA into a normal form (STA) that only requires a single-pass verification algorithm.  We also propose a new type of automata: the TGTA. These automata also enable a check in a single-pass and without adding artificial states : it combines the benefits of TA and generalized Buchi automata (TGBA). TGTA improve the explicit and symbolic model checking approaches. In particular, by combining TGTA with the saturation technique, the performances of the symbolic approach has been improved by an order of magnitude compared to TGBA. Used in hybrid approaches TGTA prove complementary to TGBA.  All the contributions of this work have been implemented in SPOT and LTS-ITS, respectively, an explicit and a symbolic open source model-checking libraries.