SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Intelligent applications over large scale data streams

Large scale data analytics is the key research domain for future data driven applications as numerous of devices produce huge volumes of data in the form of streams. Analytics services can offer the necessary basis for building intelligent decision making mechanisms to support novel applications. Due to the huge volumes of data, analytics should be based on efficient schemes for querying large scale data partitions. Partitions contain only a piece of data and a dedicated processor manages the incoming queries. The management of continuous queries over data streams is a challenging research issue requiring intelligent methods to derive the final outcome (i.e., query response) in limited time with maximum performance. The management process of continuous queries involves their assignment to specific processors and the processing of the derived responses. We focus on a group of query controllers serving the incoming queries and, thus, becoming the connection of big data systems with the real world. INNOVATE proposes solutions for the management of the controllers behavior. We propose an intelligent decision making process for each controller in three axes: (i) top-down, by realizing a mechanism that assigns queries to the underlying processors; (ii) bottom-up, by proposing decision making mechanisms for returning responses to users/applications on top of early results; (iii) horizontal, by proposing optimization schemes for queries management. We adopt a pool of learning schemes and an ensemble learning model dealing with how and on which processors each query should be assigned. We also propose specific schemes for combining processors responses. Intelligent and optimization techniques are adopted for the controllers group management. Machine learning, Computational Intelligence and optimization are the key adopted technologies that, when combined, provide efficient solutions to a challenging problem like the support of intelligent analytics over big data streams.
PROCESS FOR THE BLEACHING OF CHEMICAL PULP

Procédé pour le blanchiment d'une pâte à papier chimique Procédé pour le blanchiment d'une pâte à papier chimique au moyen d'une séquence d'étapes de traitement impliquant au moins une étape avec une enzyme et au moins une étape avec un peroxyacide. Pas de figure.
APPARATUS FOR REMOVING A HAND HELD FOOD PRODUCT FROM A BAKING MOLD

An apparatus for producing an edible, hand held food product (24) which may be used as a container for ice cream and other frozen confections in which the apparatus includes, in combination, a baking mold (16, 18) for baking the food product and a vacuum removal plug (36) which is selectively insertable into a female portion of the baked food product for removing the food product by means of vacuum. The removal plug (36) has an exterior surface with a configuration corresponding substantially to the inner surface of the container and includes a plurality of vacuum ports (42) opening to the exterior surface. The apparatus also includes a vacuum assembly (38, 39) for creating a vacuum within the vacuum ports (42).
Soft computing based anytime modeling methodology for handling resource insufficiency

Nowadays practical solutions of engineering problems involve model-integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing, in particular fuzzy and neural network based models, may have an exceptional role at many fields, especially in cases where the problem to be solved is highly nonlinear or when only partial, uncertain and/or inaccurate data is available. Nevertheless, ever so advantageous their usage can be, it can still be limited by their high computational complexity. Although, a possible solution can be, if we combine soft computing and anytime techniques, because the anytime mode of operation is able to adaptively cope with the available, usually imperfect or even missing information, the dynamically changing, possibly insufficient amount of resources and reaction time. In this paper, a soft computing based anytime modeling methodology is presented for handling resource insufficiency and the applicability of the generated models is analyzed in dynamically changing, complex, time-critical systems.
Migrating commercial law and language. rethinking lex mercatoria (11th-17th century)

MICOLL will analyze the development of commercial law by means of a tool almost ignored in this field: historical linguistics. The borrowing and transfer of legal terms will be carried out through a comprehensive and systematic investigation of medieval and early modern legal sources, in particular commercial letters, contracts and statutes. Even though legal historians tend to deny the effectiveness of a body of customary laws uniformly adopted across medieval and modern Europe, the “myth” of the ancient lex mercatoria continues to provide historical legitimacy to the supporters of corporate self-regulation. According to a widespread historiographical topos, merchants all over the world “spoke the same language” when it came to what was important for them: to make profits. As legal institutions are represented by technical legal words, an analysis of the terms merchants actually used is a powerful and never attempted way to verify the impact of merchants’ migrations on the development of commercial law, which had, in its turn, tremendous effects on social and economic history. 
The center of this project will be Venice, for several centuries the mandatory stop for merchandise coming from the East and directed both to northern Europe and to Genoa, from where men and goods would reach other trading centers (e.g., France and the Iberian peninsula). Our time-frame spans from the “commercial revolution” of the 11th century to the beginning of the modern period, when the new dynamics of transoceanic trade left Venice at the periphery of a world that was changing its very dimensions.  
Did merchants actually use the same legal terms in different geographical areas? And, above all, did they grant these words the same legal meaning? MICOLL will answer these questions by means of two main tools: a “Glossary of medieval commercial law terms” and an interactive digital map of the land routes connecting Venice with northern Europe and the Tyrrhenian Sea.
Analysis and prediction of submarine dune dynamics

Submarine dunes pose a significant risk for offshore activities in coastal areas, especially for the growing development of European renewable marine energy. Their evolution is still poorly understood due to their complex non-linear behavior. DUNAMICS propose to fill this knowledge gap by putting forward an innovative methodology combining several fields of investigation. DUNAMICS pursues three correlated research objectives: understand the physical process that leads to subaqueous dunes equilibrium and control their geometry, study in situ deep water dunes in coastal waters of New Zealand, and develop an operational tool for prediction of submarine dune dynamics. To achieve these goals, an innovative methodology has been thought of, leaning on state-of-the-art numerical models, innovative instrumentation methods, and cutting-edge laboratory flume experiments. DUNAMICS is a collaborative research project supported by a highly skilled and complementary international team. My experience in bedform morphodynamics, added to Giovanni Coco’s outstanding knowledge in sediment patterns and numerical modelling, Heide Friedrich’s great experience in conducting flume experimentations, and Rolf Deigaard world reckoned expertise in sediment transport problems, give DUNAMICS strong basis to achieve its goals. Moreover, our complementarity will lead to a continuous knowledge sharing process between us that will also be highly profitable for the beneficiary institution. The world class brand new infrastructures of the University of Auckland (UoA) -outgoing phase- and of the Danish hydraulic institute (DHI) -returning phase- insure an exciting collaborative and scientific environment. There, I will be encouraged to deliver outstanding research, improve my scientific and teaching skills, and reach a level of scientific excellence allowing me to pursue my academic career.
Polymer-metal composition retainer for self-lubricating bearing

The retainer of the present invention is made of a composite material having a body made from a polymer, a layer of solid lubricant formed over the body by chemically coating the body with a porous layer of solid lubricant and impregnating the solid lubricant with another lubricant using conventional methods such as vacuum impregnation. The retainer is placed between an outer raceway and an inner raceway to form a self-lubricating bearing. The bearing made in this manner has high lubrication tolerance (i.e. it performs well in the absence of external lubrication). Because of its high lubrication tolerance, the bearing is suitable for use in various applications such as dental/medical hand pieces that are periodically sterilized and other applications which occasionally experience periods of lubrication starvation.
construction du sens des vocables présents dans la description des vins

: La dégustation du vin est à la mode. Une nouvelle sensibilité se développe dans le domaine du plaisir des sens en gastronomie et, par la suite, une culture du vin s’étend depuis l’Europe vers le reste du monde globalisé du XXIᵉ siècle. Les publications, les blogs, les programmes de télévision sur la gastronomie, sur les accords des mets et des vins se multiplient. Un nouveau langage s’établit pour décrire les qualités d’un cru qui, parfois, devient incompréhensible pour le consommateur moyen, aussi bien dans les textes de la critique œnologique que dans les notes de dégustation. Notre objectif est, dans un premier temps, de présenter un corpus riche en adjectifs, substantifs et verbes ayant une charge culturelle partagée et servant à la description des vins, provenant de la langue générale, dont le sens a été enrichi grâce au contexte spécialisé du vin. Ensuite, nous définirons les valeurs sémantiques ajoutées à ces vocables moyennant la métaphore et la métonymie. Finalement, nous étudierons les procédés lexicogéniques des néologismes concernant ce champ lexical.
Management of networked iot wearables – very large scale demonstration of cultural  societal applications

The SoundCity Project MONICA aims to provide a very large scale demonstration of multiple existing and new Internet of Things technologies for Smarter Living. The solution will be deployed in 6 major cities in Europe.
MONICA demonstrates a large scale IoT ecosystem  that uses innovative wearable and portable IoT sensors and actuators with closed-loop back-end services integrated into an interoperable, cloud-based platform capable of offering a multitude of simultaneous, targeted applications.
All ecosystems will be demonstrated in the scope of large scale city events, but have general applicability for dynamically deploying Smart City applications in many fixed locations such as airports, main traffic arterials, and construction sites. Moreover, it is inherent in the MONICA approach to identify the official standardisation potential areas in all stages of the project.
MONICA will demonstrate an IoT platform in massive scale operating conditions; capable of handling at least 10.000 simultaneous real end-users with wearable and portable sensors using existing and emerging technologies (TRL 5-6) and based upon open standards and architectures. 
It will design, develop and deploy a platform capable of integrating large amounts of heterogeneous, interoperable IoT enabled sensors with different data capabilities (video, audio, data), resource constraints (wearables, Smartphones, Smartwatches), bandwidth (UWB, M2M), costs (professional, consumer), and deployment (wearable, mobile, fixed, airborne) as well as actuators (lights, LED, cameras, alarms, drones, loudspeakers).
It will demo end-to-end, closed loop solutions covering everything from devices and middleware with semantic annotations through a multitude of wireless communication channels to cloud based applications and back to actuation networks. Humans-in-the-Loop is demonstrated through integrating Situational Awareness and Decision Support tools for organisers, security staff and sound engineers situation rooms.
KAJIAN SISTEM PERMINTAAN KOMODITAS SUMBER PROTEIN DI ENAM PROVINSI INDONESIA

The government's commitment to realize national food security through overcome food insecurity and malnutrition as the main program of the Ministry of Agriculture. This study aims to analyze differences in consumption of protein commodities based on two provincial categories and the effect of changes in prices and income on demand of protein commodities. The two provincial catagories are provinces which has protein consumption below Adequacy Rate of Protein (AKP), namely Jambi, Nusa Tenggara Timur, Maluku and provinces which has protein consumption above AKP, namely Jakarta, Jawa Barat, Jawa Timur. This study used the National Socio-Economic Survey (SUSENAS) in March analyzed by using Linear Approximate-Almost Ideal Demand System (LA/AIDS). The results showed that consumption of fish and meat in provinces above AKP is higher then percapita consumption in provinces below AKP, while the others percapita consumption like poultry, egg, tempeh, and tofu is higher in provinces above AKP. Price and expenditure elasticity is more elastic in provinces above AKP then price and expenditure elasticity in provinces below AKP. Generally, the commodity's own price elasticity is inelastic in both categories of provinces except eggs. The value of egg elasticity is greater than 1 (elastic), either in provinces above AKP or in the provinces below AKP. Based on expenditure elasticity, all commodities are normal goods. Fish, poultry, and eggs are luxury goods in the province above the AKP, while only fish and eggs are luxury goods in the provinces below the AKP.
Cold molecules in cavities

Here we propose a radically new way to control chemical reactions on the quantum level. The Experienced Researcher (ER)
will combine his long-standing expertise on cavity quantum electrodynamics (CQED) with the field of ultracold chemical
reactions, in which the host is one of the leading pioneers. We want to drive a photo-chemical reaction (photoassociation)
within an optical cavity and in this way gain control over the reaction (objective 1). For this, we use the control over
spontaneous photon emission by an optical cavity, as has been done with single atoms. This paves the way towards novel
fascinating effects like superradiant chemistry, where a chemical process is enhanced due to quantum statistics.
Furthermore, the optical cavity will be used as an ultrasensitive molecule detector of a new quality by detecting them without
disturbing their quantum state (objective 2). This novel interdisciplinary combination of physics and chemistry will open up a
new research field, where the ER will demonstrate scientific innovation and independence.
Compact powerful and reliable piezoelectric actuator for landing gear systems

Design and development of a long The objective of the AUDACITY project is to make the demonstration of a compact powerful and reliable piezoelectric actuator for future locking applications in landing gear systems.
Audacity is required to get rid of the well-established hydraulic actuators in order to comply with System ITD Strategic Objectives in terms of environmental impact and More Electric Aircraft (MAE).
One American and one Japanese company have shown the relevance of the piezoelectric technology to be used in landing gear systems. Their demonstration are today without equivalent in Europe.
Whereas the principle of long stroke piezoelectric actuator is not new, technical challenges occur. The consortium of AUDACITY has come to the conclusion that every technical limitations one by one during the 20 past years. The technical objective is then to integrate all these individual progresses within a prototype for TRL4 demonstration

AUDACITY aims at impacting the competitiveness of Europe and Associated countries with the direct creation of 20 jobs and 45 Millions of cumulative sales before 2030.
Synthesis and characterization of starch-graft-polyacrylamide copolymers and their application as filtration control agents in drilling fluid

Some starch-graft-polyacrylamide copolymers were prepared by the polymerization of corn starch with acrylamide in aqueous medium using a complex initiation system consisting of ceric ammonium sulphate and ammonium persulphate. The copolymers were applied to water-based drilling fluid as filtration control agents. Their grafting parameters such as percentage of grafting, grafting efficiency, and solution viscosity (η) were investigated by using elemental analyzer and rotational viscometer. The results showed that increases in initiator concentration and reaction temperature first favored and then impeded the grafting reaction. Grafting of acrylamide onto starch increased with the increase of monomer concentration. It also increased with increasing reaction time up to a certain degree and then leveled off. For the graft copolymers, a higher percentage of grafting and higher η were beneficial in decreasing the filtrate volume of water-based drilling fluid, even under an operating environments of 147°C and saturated salinity. A possible mechanism is proposed to interpret the improvement of fluid loss properties. J. VINYL ADDIT. TECHNOL., 2012. © 2012 Society of Plastics Engineers
Unraveling the conceptional novel adam17 regulation by pp2a in metastasis formation.

Around 90% of all cancer-related deaths are due to metastasis. Understanding the process of cancer metastasis is therefore of urgent need to develop new treatments. Aberrant expression of the epidermal growth factor receptor (EGFR), or increased availability of its ligands promote tumour survival and metastasis in multiple cancers. As a result, several anti-EGFR therapeutics are in clinical use, but almost all patients will develop resistance against the treatment. Another strategy to treat EGFR driven cancers is to reduce the pool of available EGFR ligands. The crucial enzyme in EGFR ligand release is A Disintegrin And Metalloproteinase (ADAM) 17. I have unpublished data showing that depletion of ADAM17 significantly inhibits colon cancer growth and metastasis in vivo. However, anti-ADAM17 therapies have failed clinically and thus, we urgently need to understand the regulation of ADAM17. Recent discoveries by Dr. Kveiborg’s group, and collaborators showed that the protein phosphatase PP2A binds to ADAM17, and negatively regulates EGFR ligand release, thereby representing the first known negative regulator for ADAM17. Based on these novel findings, I hypothesize that the PP2A-ADAM17-EGFR axis has the ability to control cancer metastasis. To test this hypothesis, I aim to characterize the functional impact of the PP2A-ADAM17 interaction in cancer spread by creating ADAM17 mutants with different PP2A binding properties in colon cancer cells using CRISPR/Cas9 and functionally evaluate these cells in vitro and in zebrafish and mouse models. Moreover, I aim to unravel the molecular mechanisms of the interplay; applying SILAC coupled mass spectrometry and mutagenesis screening, to evaluate the mechanism by which PP2A affects ADAM17, and the signals involved in PP2A binding. This work will pave the way for the development of novel anti-cancer drugs and thereby expand the therapeutic choices for EGFR driven cancers and improve the patient survival.
Decoupling between the Temperature-Dependent Structural Relaxation and Shear Viscosity of Concentrated Lithium Electrolyte

The intermediate scattering functions of concentrated solutions of LiPF6 in propylene carbonate (PC) were measured at various temperatures, two different wavenumbers, and three different concentrations using neutron spin echo (NSE) spectroscopy. The temperature dependence of the relaxation time was larger than that of the steady-state shear viscosity in all cases. The shear relaxation spectra were also determined at different temperatures. The normalized spectra reduced to a master curve when the frequency was multiplied by the steady-state shear viscosity, indicating that the temperature dependence of the steady-state shear viscosity can be explained by that of the relaxation time of the shear stress. It is thus suggested that the dynamics of the shear stress is decoupled from the structural dynamics on the molecular scale.
Robot skill learning: imitation, exploitation and control

In this project, I will develop an imitation learning framework for robot skill learning and optimization, aiming at endowing robots with versatile skills and thus allowing robots to work in broad application domains. This framework will handle various constraints (e.g., robot joint limit, trajectory smoothness, obstacle avoidance) that robots encounter in practice, exploit environmental priors and multi-modal properties underlying human demonstrations, as well as design a low-level optimal controller so as to drive robots to execute human-like motions and resist external perturbations. The project objectives and associated concepts are original and novel. This project will provide the first solution for the problem of imitation learning with various constraints (including linear and non-linear, convex and non-convex constraints) and a novel concept of semi-imitation learning by exploring environmental priors. Moreover, it will provide a solution to multi-modal imitation learning from few demonstrations, which can be readily combined with constrained learning and environmental priors. In addition, from a control perspective, this project will study a new concept of control-inspired imitation learning to mimic both human skills and human reactions under perturbations. This project is challenging in the sense that it involves robotics, imitation learning, probability theory, optimization, semi-supervised learning, clustering techniques and optimal control. I will work closely with Prof. Cohn, who is an expert in knowledge representation and reasoning. This fellowship will sharpen my research skills and extend my research network in Leeds and Europe. Specifically, this fellowship will enable me to dive deeper into the challenging but essential problems in robot imitation learning, which will provide new insights and research topics to the community of robot learning, positioning me as a competitive researcher in the community.
Embryonic Stem Cells and Induced Pluripotent Stem Cells for Skeletal Regeneration

Tissue engineering for skeletal tissues including bone and cartilage have been focused on the use of adult stem cells. Although there are several pioneering researches on skeletal tissue regeneration from embryonic stem cells (ESCs), ethical issues and the possibility of immune rejection clouded further attention to the application of ESCs for nonlethal orthopedic conditions. However, the recent discovery of induced pluripotent stem cells (iPSCs) led to reconsider the use of these pluripotential cells for skeletal regeneration. The purpose of this review was to summarize the current knowledge of osteogenic and chondrogenic induction from ESCs and iPSCs and to provide a perspective on the application of iPSCs for skeletal regeneration.
Mais où sont les proverbes d’antan ? Du Dialogus creaturarum à ses traductions françaises (1482-1550 ca)

Composé en Italie au XIVe siècle, le Dialogus creaturarum fut traduit trois fois en français : deux fois en prose vers la fin du XVe siècle, une fois en vers autour de 1540. Dans ce recueil de 122 fables, les proverbes jouent un rôle majeur : non seulement ils résument la morale de chaque apologue, mais ils en marquent la structure interne, nettement bipartite entre delectare et docere. Cet article essaie de comparer le traitement que les traducteurs réservent aux proverbes, avec une attention particulière pour la dernière version, où l’enchâssement des distiques dans un texte organisé en strophes contribue parfois à leur effacement.