SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
The origin and early development of philosophy in tenth-century al-andalus: the impact of ill-defined materials and channels of transmission.

The objective of PhilAnd is to conduct a large-scale exploration of how, and under which form, philosophy appeared for the first time in al-Andalus. This issue is pivotal to understanding the history of sciences and ideas, and the role of the Arab-Muslim world in this transfer to Medieval Europe. Its relevance today also lies in the fact that it addresses questions of cultural and religious identities, since the formative stage of philosophy in al-Andalus proved decisive in shaping the intellectual background of many later authors from the Peninsula, whether Muslims, Jews, or Christians. At the crossroads of major lines of enquiries in scholarship and in line with recent discoveries having important chronological implications, PhilAnd focuses on the 10th century, a period usually disregarded by historians on the assumption that philosophy as such was not cultivated in the Iberian Peninsula before the 11th-12th centuries. Its originality is also to put emphasis on ‘ill-defined’ materials and channels of transmission, a field which remains largely unexplored. This project consists of five topics designed for highly-specialised scholars, and of another three transversal types of exploration conducted in the form of conferences convened with leading experts in the world. The final objectives are to test the hypothesis: 1) that the emergence of philosophy in al-Andalus significantly predates the currently accepted time; and 2) that the impact of this formative stage was considerably wider than commonly acknowledged. This project also seeks to provide a better evaluation of the originality of the first Andalusī philosophers with respect to their Oriental forerunners. This cutting-edge investigation is likely to stimulate major changes in our perception of how this primeval stage of philosophy in al-Andalus determined the subsequent developments of rational speculation among the three monotheistic communities of the Peninsula and the intellectual formation of Europe.
Investigation of nonlinear stimulated emission in optically excited dielectrics

The nonlinear stimulated emission of ultraviolet light in a piece of optically excited – and thus metalized – glass that usually absorbs light is counterintuitive to what has been known for many decades about light-material interaction. However, this is exactly what was recently experimentally observed for the first time. Although a preliminary explanation and model describing the effect of laser amplification in excited dielectrics (LADIE) exists, a manifold of questions about fundamental processes like the universality, the potential of nonlinear light amplification and how giant-band-gap-renormalization in dielectrics works remain unanswered. In this project, a thorough investigation of the novel phenomenon and the associated rare nonlinear stimulated emission will be initiated. On the one hand, this study is based on femtosecond spectroscopy, deploying pump-probe experiments, utilizing light-conversion and pulse-shaping techniques that will be applied to a large variety of custom-made samples. On the other hand, the experimental studies will be complemented by advanced theoretical modelling of the material excitation that will be extended towards incorporating a proper description of the new mechanisms. The investigation of the LADIE effect will most likely open up an entirely new scientific field with many new surprises in store and the potential for novel derived applications. Its perspective is a revolution in laser technology, building high power nonlinear laser amplifiers in a huge variety of band-gap materials, which has a clear interdisciplinary aspect to semiconductor and optoelectronic research (i.e. telecommunication hardware), biophysics (cell surgery, nonlinear microscopy) and nonlinear optics in general.
WOVEN STENT/GRAFT STRUCTURE

A combined stent/graft structure for repair of a body tube in a living body. The structure includes a textile graft adapted to enhance fluid integrity of the body tube and a stent expandable between a first position permitting easy insertion of the stent into the body tube and a second position wherein the stent presses securely against the inside surface of the body tube. The stent includes a first elongate wire-shaped stent member with both a stent member global axis and a stent member local axis, and is integrally secured to the graft by at least one graft yarn of which the graft is formed. Substantial portions of the first stent member global axis form a non-orthogonal angle with the graft main portion axis when projected into a plane containing the graft main portion axis. This permits repeatable, reliable manufacturing and allows the stent member to extend over substantially the whole length of the structure to provide uniform flexural properties and support throughout. Embodiments wherein the first stent member global axis forms an orthogonal angle with the graft main portion axis are also contemplated. A method of forming a textile with an undulating wire is also provided. Further, a woven textile is also part of the invention as is a method of manufacturing such a woven textile, which can be used to produce stent/graft structures according to the invention. Inventive weaving shuttles suitable for manufacturing structures in accordance with the invention are also set forth. Methods utilizing shape-memory stent members for ease in manufacturing are also disclosed.
Structural, Optical, and Electrical Properties of Cobalt-Doped CdS Quantum Dots

In the present work, a systematic study has been carried out to understand the influence of cobalt (Co) doping on various properties of CdS nanoparticles. CdS and Co-doped CdS quantum dots have been prepared at room temperature using a chemical precipitation method without using catalysts, capping agents, or surfactants. X-ray diffraction reveals that both undoped and Co-doped CdS nanoparticles exhibit hexagonal structure without any impurity phase, and the lattice constants of CdS nanoparticles are observed to decrease slightly with increasing cobalt concentration. High-resolution transmission electron microscopy (HRTEM) shows that the particle size of CdS and 5.02% Co-doped CdS nanoparticles is in the range of 2 nm to 4 nm. The Raman spectra of Co-doped CdS nanoparticles exhibit a red-shift compared with that of bulk CdS, which may be attributed to optical phonon confinement. The optical absorption spectra of Co-doped CdS nanoparticles also exhibit a red-shift with respect to that of CdS nanoparticles. The electrical conductivity of CdS and Co-doped CdS nanoparticles is found to increase with increasing temperature and cobalt concentration.
Replication and post-replication signalling pathways regulating r-loop-associated telomere instability in human cells

Telomere stability is essential to prevent tumorigenesis and cellular senescence in human cells. Telomeres are transcribed into TERRAs, which has the ability to form R-loops with the DNA template. It is known that R-loops can hamper replication fork progression leading to hyperrecombination and genome instability. Indeed, R-loops are accumulated in telomeres of cancer cells that use the Alternative Lengthening of Telomere (ALT) maintenance mechanism to gain immortalisation and in ICF syndrome cells, associated with telomere shortening and senescence.
The mammalian ATR-mediated replication stress signalling pathway and the RAD18-UBE2B ubiquitin-ligase complex involved in post-replication repair have been recently discovered as mains regulators of R-loop accumulation, suggested to act via different mechanisms. Interestingly, both pathways affect telomeres of ALT cells, where R-loops have been proposed as drivers of ALT recombination. Whether or not replication and post-replication signalling pathways have a differential role in telomeric R-loop control is not known, but it would be of key relevance to understand the role of R-loops in telomere dynamics both in normal and cancer cells. With this aim, we will investigate the molecular mechanisms that control pathological R-loop modulation at human telomeres by focussing into their accumulation during and after DNA replication and their regulation by replication and post-replication DNA damage responses. By developing new systems that allow a precise temporal control of R-loop levels and innovative single molecular approaches to detect R-loops at the replication fork, plus the use of and unbiased proteomics analysis of isolated chromatin from telomeres, I will identify new key factors and molecular mechanisms controlling telomeric R-loops in normal and cancer cells. This knowledge will help identify possible future targets in anti-cancer therapy that specifically affect cancer cells.
Stochastic assembly produces heterogeneous communities in the Caenorhabditis elegans intestine

Host-associated bacterial communities vary extensively between individuals, but it can be very difficult to determine the sources of this heterogeneity. Here, we demonstrate that stochastic bacterial community assembly in the Caenorhabditis elegans intestine is sufficient to produce strong interworm heterogeneity in community composition. When worms are fed with two neutrally competing, fluorescently labeled bacterial strains, we observe stochastically driven bimodality in community composition, in which approximately half of the worms are dominated by each bacterial strain. A simple model incorporating stochastic colonization suggests that heterogeneity between worms is driven by the low rate at which bacteria successfully establish new intestinal colonies. We can increase this rate experimentally by feeding worms at high bacterial density; in these conditions, the bimodality disappears. These results demonstrate that demographic noise is a potentially important driver of diversity in bacterial community formation and suggest a role for C. elegans as a model system for ecology of host-associated communities.
Good Classification Tests as Formal Concepts

The interconnection between the Diagnostic (Classification) Test Approach to Data Analysis and the Formal Concept Analysis (FCA) is considered. The definition of a good classification test is given via Galois’s correspondences. Next we discuss the relations between good tests and formal concepts. A good classification test is understood as a good approximation of a given classification on a given set of examples. Classification tests serve as a basis for inferring implicative, functional dependencies and association rules from datasets. This approach gives the possibility to directly control the data analysis process by giving object classifications.KeywordsGood classification testGalois latticeFormal Concept AnalysisLogical rule mining
In vitro Evaluation of Different Substitution Levels of Soybean Meal by Guar Meal in a Fattening Diet for Lambs

The aim of the current study was to evaluate the replacement effect of soybean meal (SBM) at different levels (0 as D1, 33 as D2, 67 as D3 and 100% as D4 based on crude protein (CP) content) by guar meal (GM) on ruminal gas production kinetics, ruminal digestibility and fermentation characteristics of a fattening diet for lambs. Three experiments were conducted. The first experiment of 144-h incubations was aimed to determine comparatively the gas production kinetics of SBM and GM. The gas production kinetics and the ruminal digestibility and fermentation of the fattening diet, containing different proportions of SBM and GM, were also studied by the incubations of 144-h and 24-h in the second and last experiments, respectively. The results of the first kinetic experiment indicated a higher asymptote of gas production (a), half time to asymptote of gas production (T1/2) and metabolizable energy (ME) and a lower fractional rate of gas production (µ) for SBM than GM (P 0.05). However, the gas produced after 24-h of incubation (GP24), in vitro true dry mater degradability (IVTDMD), in vitro true organic matter degradability (IVTOMD), partitioning factor (PF), microbial biomass production (MBP) and total volatile fatty acids (TVFA) concentration increased with D2 compared to D1 and D3 in the last experiment. The ammonia concentration decreased with D2 and D3 compared to D4 (P 0.05). These results demonstrated that the protein from SBM might been replaced by that from GM in fattening diets for lambs at the levels up to 67%, but the 33% substitution is recommended because of its beneficial effects on ruminal digestibility and fermentation.
Wormhole optical network: a new architecture to solve long diameter problem in exascale computer

The exascale computer will be built in the near future thanks to rapid innovations in semiconductor logic, memory, architectures, interconnections and other essential technologies. It is difficult to design an interconnection network that combines high performance with low power consumption. Therefore, building an interconnection network with high cost performance plays a critical role in building such a large scale system. Currently, torus-interconnected network like 6D-Torus possesses suitable properties for the petascale computer. However, the diameter within the torus-interconnected network is too long to achieve efficient global communication in the exascale computer. In addition, a direct connection method is not adaptive to the diverse characteristics of traffic. Here, we propose an architecture called Wormhole Optical Network (WON) for the exascale computer which is based on optical circuit switching. WON was designed to fully integrate into the electrical network of 6D-Torus. WON allows for the use of three novel technologies, namely the dynamic topology with optical links, algorithm of cross dimension order routing, and strategy of flow control for deadlock-free. We evaluated WON using both a prototype system and a simulator for the exascale computer. Our analysis shows that compared to the traditional electrical architecture, WON architecture reduced the time of data communication by 14–29% on exascale, a result obtained for a wide selection of diverse applications. Through enabling an SDN controller to adjust topology, WON maintains high utilization of optical links for inter-process communication from diverse applications. Further, we quantified WON’s flexibility of job deployment for mitigating hotspot traffic. We show that WON reduced latency by 20–35% in the large-range deployment and improved throughput by 30% in the long-distance deployment.
Dynamic Monitoring of Dark IP Address Space (Poster)

Abstractnumber of security-related research topics are based on the monitoring of dark IP address space. Unfortunately there is large administrative overhead associated with the dynamic assignment of a specific subnet for monitoring purposes, such as the deployment of a honeypot farm or a distributed intrusion detection system. In this paper, we propose a system that enables the dynamic allocation of an unadvertised IP address subnet for use by a monitoring sensor. The system dynamically selects network subnets that have been allocated to the organization but are not being advertised, advertises them, and subsequently forwards all received traffic destined to the selected subnet to a monitoring sensor.KeywordsIntrusion Detection SystemMonitoring SensorBorder RouterDynamic PacketRout Table EntryThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Synthesis and properties of poly[2,2′-(4,4′-(2,6-bis(phenoxy) benzonitrile))-5,5′-bibenzimidazole] for proton conducting membranes in fuel cells

Poly[2,2′-(4,4′-(2,6-bis(phenoxy) benzonitrile))-5,5′-bibenzimidazole] (PBI-CN) was synthesized via the polycondensation of 3,3′,4,4′-tetraaminobiphenyl and 2,6-bis(4-carboxyphenoxy) benzonitrile. The introduction of the nitrile group to the main chain of PBI-CN can provide both strong polarity and a reactive site for further reaction. The effects of different reaction conditions on the intrinsic viscosity of the synthesized polymer are discussed, which is consistent with the regular pattern. After appropriate purification of starting materials and optimization of polymerization conditions, the synthesized polymer can exhibit higher intrinsic viscosity, which means higher molecular weight. The solubility, chemical oxidation stability, thermal degradation behavior, acid doping ability, and proton conductivity of the synthesized polymers were studied. Compared with poly[2,2′-(m-phenylene)-5,5′-bibenzimidazole] (PBI-ph), the introduction of –C≡N and –O– group in PBI-CN provides the polymer with better acid doping ability and chemical oxidation stability, while the solubility and thermal stability decrease a little. The proton conductivity of PBI-CN/3.5H3PO4 composite membranes can reach ∼10−3 S cm−1 at 170 °C under anhydrous condition. The temperature dependence of proton conductivity of the acid doped membranes can be modeled by an Arrhenius relation.
FOIRES COMMERCIALES INTERNATIONALES

L’ENTREPRISE FABRIQUE DES MACHINES À EXPRESSO, FABRIQUÉES À LA MAIN EN ITALIE. LE SOUCI DU DÉTAIL, L’UTILISATION DES MEILLEURS COMPOSANTS DISPONIBLES SUR LE MARCHÉ, COMBINÉS À UNE STABILITÉ THERMIQUE PARFAITE, FONT DES MACHINES TORRE UN PRODUIT D’EXCELLENCE. L’INTRODUCTION DE SOLUTIONS SIMPLES, FONCTIONNELLES ET ESTHÉTIQUES CARACTÉRISENT ET DISTINGUENT LES PRODUITS TORRE.SI EST UNE MACHINE DE LA PLUS HAUTE GAMME, AFIN D’OFFRIR AU CLIENT UN PRODUIT DE HAUTE QUALITÉ, CAPABLE DE DURER DANS LE TEMPS. CIÃÂ² EXPLIQUE ÉGALEMENT POURQUOI L’ENTREPRISE VISE UN MARCHÉ INTERNATIONAL, À PARTIR DU NORD DE L’EUROPE. OUVERTE À LA MONDIALISATION, FAIT DE LA QUALITÉ ET DE L’EXPÉRIENCE FABRIQUÉE EN ITALIE L’ARME GAGNANTE POUR CONCOURIR AU MONDIAL MARKETS.IN AFIN D’AUGMENTER SON MARGINALITÃÂ ET LE NOMBRE DE CLIENTS, L’ENTREPRISE SOUHAITE PARTICIPER AU SALON INTERNATIONAL MILAN, LE 22/10/2021-26/10/2021.
A robust edge-based optical flow method for elderly activity classification with wearable smart cameras

Automated monitoring of activities of elderly is very important in the field of elderly healthcare. While fast and precise detection of falls is critical in providing immediate medical attention, other activities like walking, sitting and lying down can provide valuable information for early diagnosis of potential health problems. Recently, wearable smart cameras have emerged as a new area of research, since they provide several advantages. First, activity monitoring is not restricted to confined environments, where static sensors are installed. Second, privacy concerns of the person being monitored are alleviated. Recent works in the literature show promising results for fall detection. However, classification of activities like walking, sitting and lying down still remains as a challenge. Moreover, since most of the processing needs to be performed on board, it becomes imperative that the method has real-time capabilities. In this paper, we present a new and efficient method for activity classification using histogram of oriented gradients (HOG) and optical flow. Since the regular global optical flow methods can be inaccurate and computationally expensive, we use an alternative edge-based optical flow technique, which provides better speed and accuracy especially for the application and embedded platforms under consideration. A total of 195 experiments were conducted on eight subjects performing falling, sitting and lying down activities. Results demonstrate the promise and feasibility of and the speed up provided by the proposed method.
An ecosystem of citizen observatories for environmental monitoring

The rising trend in citizen science has led to the development of Citizen Observatories (COs) for environmental monitoring, which have been supported in FP7 and H2020. To improve the coordination between existing COs and related regional, European and international activities, the WeObserve Coordination and Support Action will tackle three key challenges that face COs: awareness, acceptability and sustainability. The WeObserve mission is to create a sustainable ecosystem of COs that can systematically address these identified challenges and help move citizen science into the mainstream. The WeObserve approach will apply several key instruments to target, connect and coordinate relevant stakeholders. The first is to develop and foster five communities of practice to strengthen the current knowledge base surrounding COs. Topics will include citizen engagement, the value of COs for governance and CO data interoperability. In co-creating this knowledge base, CO practitioners will have a platform to effectively share best practices and avoid duplication. The second will expand the geographical reach of the knowledge base to different target groups via toolkits, a Massive Open Online Course, capacity development roadshows and an Open Data Exploitation Challenge, to strengthen the uptake of CO-powered science by public authorities and SMEs. A third mechanism will forge links with GEOSS and Copernicus to demonstrate how COs can complement the EU’s Earth Observation monitoring framework. The WeObserve consortium brings together the current H2020 COs (Ground Truth 2.0, GROW, LandSense, Scent) who will actively open up the CO landscape through wide ranging networks, users and stakeholders, including ECSA, GEOSS and Copernicus to foster social innovation opportunities. The WeObserve approach and outcomes have the potential to create a step-change in EO innovation and make COs a valuable component of managing environmental challenges and empowering resilient communities.
Scalable control of interconnected systems

Modern society is critically dependent on large-scale networks for services such as energy supply, transportation and communications. The design and control of such networks is becoming increasingly complex, due to their growing size, heterogeneity and autonomy. A systematic theory and methodology for control of large-scale interconnected systems is therefore needed. In an ambitious effort towards this goal, this project will develop rigorous tools for control synthesis, adaptation and verification. 

Many large-scale systems exhibit properties that have not yet been systematically exploited by the control community. One such property is positive (or monotone) system dynamics. This correspond to the property that all states of a network respond in the same direction when the demand or supply is perturbed in some node. Scalable methods for control of positive systems are starting to be developed, but several fundamental questions remain: How can existing results be extended to scalable synthesis of dynamic controllers? Can results for linear positive systems be extended to nonlinear monotone ones? How about systems with resonances? 

The second focus area, adaptation, takes advantage of recent progress in machine learning, such as statistical concentration bounds and approximate dynamic programming. Adaptation is of fundamental importance for scalability, since high-fidelity models are very expensive to generate manually and hard to maintain. Thirdly, since systematic procedures for control synthesis generally rely on simplified models and idealized assumptions, we will also develop scalable methods to bound the effect of imperfections, such as nonlinearities, time-variations and parameter uncertainty that are not taken into account in the original design. 

The research will be carried out in interaction with industry studying a new concept for district heating networks. This collaboration will give access to experimental data from a full scale demonstration plant.