SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Characterization, compatibilization, processing and properties of recycled polyolefins

CHARACTERIZATION, COMPATIBILIZATION, PROCESSING AND PROPERTIES OF RECYCLED POLYOLEFINS (REPOL) is a European Industrial Doctorate established by a consortium of leading European scientists in the academic and private industrial sector of polymer science and engineering. The University of the Basque Country (SP) and the University of Genova (IT) are the academic beneficiaries while Borealis is the industrial beneficiary (AT). They will collaborate in research-related and transferable training activities, through the execution of individual projects of three early stage researchers (ESRs) with a highly synergic, intersectoral and multidisciplinary approach in the field of polyolefins recycling. Currently, effective and innovative upgrade polyolefins recycling technologies are urgently needed to address global environmental concerns. European industries require skilled researchers to exploit academic knowledge on polymer chemistry, physics, and engineering, and switch innovation and investment from an economic system to an ecological one, driven by circular economy. In this sense, the REPOL project will address these challenges through a combination of fundamental and applied research training programme to enhance the scientific excellence and competitiveness of polymer recycling in Europe. The project aims to develop characterization tools for recycled polyolefins, find novel compatibilization routes, design upgraded recycled postconsumer based blends and nanocomposite blends, and study the scalability of the developed recycled materials. REPOL will become a reference at the International Level, improve R&D capacity between participating organisations and boost synergies and better knowledge transfer between sectors in the area of polymer recycling, by promoting the mobility of ESRs and sustainable training cooperation.
Precision cosmology with galaxy and microwave background surveys

Over the last 15 years, observations of the Cosmic Microwave Background, together with galaxy surveys, have established with great precision the pillars of the current concordance ΛCDM model of cosmology. This model requires a very early epoch of accelerated expansion referred to as inflation, during which quantum mechanical density fluctuations generated the seeds for the evolution of the large scale structures (LSS) we observe today. These grew under gravitational instability induced by the presence of dark matter, an hypothetical type of matter which has mass but interacts only gravitationally with standard matter. This process converted the primordial inflationary perturbations into clumpy million light-year sized clusters and galaxies. A few billion years ago, however, we entered a new era of accelerated expansion driven by yet another component permeating the universe: the dark energy. The dark matter, dark energy and inflation concepts parametrize, and they do so remarkably well, our lack of knowledge about the universe, without affecting our capability of making observable prediction on cosmological scales. Nevertheless, from the point of view of fundamental physics, they represent one of the biggest unknowns to pin down. The Standard Model (SM) of particle physics cannot easily accommodate the existence of the dark components or explain the inflationary mechanism, which occurred at energy scales well above the ones that can ever be tested in a laboratory.  The goal of this project is to provide new insight into our understanding of the universe using observations of the reconstructed matter distribution in the universe in different wavelengths and analyze these data jointly to tackle few of the fundamental open questions in cosmology: the determination of the physics of the inflationary mechanism, the measurement of neutrino masses, the nature of dark matter, the nature and properties of dark energy, and the nature of the gravitational force.
Cognitive dysfunctions and dementogenic pathologies - the new frontiers of the artistic-creative, musical and multimedia approach

The project proposes an innovative approach both to taking care of patients suffering from pathological diseases and to their social inclusion, through the use of technologies applicable both in neurological and artistic fields. Technological tools will be developed that can be used in the clinical field for the rehabilitation, stimulation and maintenance of cognitive abilities, but also to make art installations and cultural spaces such as museums accessible to subjects suffering from dementia, contributing to the demolition of the social stigma afflicting people with dementia.
Cell-Specific vascular protection by cxcl12/cxcr4

Cardiovascular disease including coronary heart disease remains the leading cause of death worldwide. Atherosclerosis as the underlying pathology is a lipid-driven inflammatory disease of arteries giving rise to vulnerable lesions prone to rupture and thrombotic occlusion. Lesions develop at predilection sites with disturbed flow, where endothelial damage promotes intimal retention of lipoproteins and inflammatory leukocyte recruitment. Past research has largely focused on atherogenic factors and their inhibition but not on boosting a counterbalance by protective mechanisms. We have recently found that the CXCL12/CXCR4 chemokine-receptor axis protects against atherosclerosis by controlling neutrophil homeostasis and facilitating endothelial regeneration in mice. This is supported by genome-wide association studies, identifying genetic variants near CXCL12 associated with the risk of coronary heart disease. The protective regulation of endothelial repair by microRNAs also involves CXCL12/CXCR4. However, the causal and cell-specific impact of this axis remains unclear.
To balance the ongoing expansion of genetic risk variants, PROVASC aims to discover/elucidate novel mechanisms for protective cell homeostasis and regeneration counteracting atherosclerosis in depth. To this end, we will dissect cell-specific effects of the CXCR4-CXCL12 axis using an array of mouse lines for conditional deletion and bone marrow chimeras to compare resident versus hemato-poietic cell compartments. We will validate a role of coding and non-coding genetic risk variants affecting CXCL12/CXCR4 in different cell types and humanized mouse models. By identifying relevant microRNAs targeting CXCL12/CXCR4, we will unravel a regulation of this axis by cell type-specific microRNAs. Given the ubiquitous relevance of CXCL12/CXCR4, we expect that the impact of such new mechanisms will extend to other chronic inflammatory diseases, allowing for tailored strategies of tissue protection and regeneration.
Reliable ai for marine robotics

The underwater industry is an important part of European economy, including  wind energy, oil&gas, food, pharma, mining, and bio- and geo- science. A responsible and environmentally-friendly growth of this economy calls for automation of monitoring to prevent unexpected energy blackouts, oil&gas spills, and pollution from food, pharma, and mining.  This in turn requires development of reliable AI for underwater robotics.  The REMARO ETN brings together recognized robotics AI, software reliability, and safety experts.  It shall train 15 ESRs able to realize the vision of reliable autonomy for underwater applications.

REMARO attacks one of the most pressing problems of modern computing, the safety of AI, in the well defined context of submarine robotics.  The REMARO ESRs will develop the first ever underwater robotics AI methods with quantified reliability, correctness specs,  models, tests, and analysis & verification methods.  REMARO rests on two founding principles: 1. The submarine robot autonomy requires a comprehensive hybrid deliberative architecture, 2. Safety and reliability must be co-designed simultaneously with cognition, not separately, as an afterthought.  

The expertise of the consortium allows to deliver a world-class interdisciplinary training-by-research program in computer vision and machine learning,  reasoning and planning, model-driven-engineering, testing, verification, and model-checking.  The REMARO program includes almost 40 days of intense activities, 3 cross-sector cross-discipline Challenge Camps, and 37 secondments, including 20 at industrial labs.  The network will communicate results to two large research communities and to industry via European platforms and its own Industry Follow Group. The training material will be published in the REMARO book and the REMARO online Learning Hub.  The software and data will be licensed for open use to accelerate research and maximize the long-lasting impact on European underwater robotics industry.
SURFACE DOSE RETENTION OF DOPANTS BY PRE-AMORPHIZATION AND POST-IMPLANT PASSIVATION TREATMENTS

The invention generally relates to pre-implant and post-implant treatments to promote the retention of dopants near the surface of an implanted substrate. The pre-implant treatments include forming a plasma from an inert gas and implanting the inert gas into the substrate to render an upper portion of the substrate amorphous. The post-implant treatment includes forming a passivation layer on the upper surface of the substrate after doping the substrate in order to retain the dopant during a subsequent activation anneal.
Promoting building retrofits in the private residential sector through one-stop-shops in germany

The ProRetro project aims to
- Overcome barriers to residential building refurbishment by offering new one-stop-shop services to customers in five German cities/regions
- base the one-stop-shop design on the needs of customers so that
- they are attractive to customers,
- conceptualise, plan, implement and monitor and evaluate the new one-stop-shops
- prepare their continuation beyond the project lifetime
- cover the whole customer journey of a building renovation from audit/advice, planning, contracting, implementation and monitoring and approval – and involve respective stakeholders/experts in the service offer
- build on information and experiences in designing and implementing one-stop shops from best practice examples in other European countries and establish peer-learning structures with those organisations
Stochastic coalitional better-response dynamics and stable equilibrium

We consider coalition formation among players in an n-player finite strategic game over infinite horizon. At each time a randomly formed coalition makes a joint deviation from a current action profile such that at new action profile all the players from the coalition are strictly benefited. Such deviations define a coalitional better-response (CBR) dynamics that is in general stochastic. The CBR dynamics either converges to a K-stable equilibrium or becomes stuck in a closed cycle. We also assume that at each time a selected coalition makes mistake in deviation with small probability that add mutations (perturbations) into CBR dynamics. We prove that all K-stable equilibria and all action profiles from closed cycles, that have minimum stochastic potential, are stochastically stable. Similar statement holds for strict K-stable equilibrium. We apply the CBR dynamics to study the dynamic formation of the networks in the presence of mutations. Under the CBR dynamics all strongly stable networks and closed cycles of networks are stochastically stable.
Modeling a Bandwidth of a Two-Level Independent Quantum Laser System States

An electromagnetic radiation is basically considered to be a transverse wave propagating through an accessible media whether it is an optical fibre or a thin film depending on its propagating conditions. In analyzing its propagation, utilized specific cross-section areas have become an important base of understanding its extinction parameters. The term cross-section in this work applies only to boundary conditions within which particles interact within electromagnetic spectra through absorption or scattering. In such small volume contextual framework, nanotechnology reconsiders scattering cross-section coefficients. In this work, two different degenerate states were modeled and analyzed using a developed model of a laser cavity containing a media of length, L, with a gain of, k, per unit length which were mirrored to represent the upper and a lower level manifolds inhomogeneous broadening Stark levels respectively. The model developed created an impression that a laser medium is a coherent ensemble of particles or atoms whose bandwidth depends on how a laser is constructed .
Block self-cross-linkable poly(ethylene terephthalate) copolyester via solid-state polymerization: Crystallization, cross-linking, and flame retardance

Abstract A self-cross-linkable poly(ethylene terephthalate) block copolyester (SSP-PETPx) has been synthesized via solid-state polymerization (SSP). In the SSP process, a cross-linkable monomer named 4-(phenylethynyl) di(ethylene glycol) phthalate (PEPE) is incorporated into the amorphous phase of PET. The sequence distribution of the resulted copolyester SSP-PETPx is analyzed with 1 H NMR, showing that the SSP sample possesses block structure. Wide-Angle X-ray diffraction (WAXD) and differential scanning calorimetry (DSC) show that SSP-PETPx is crystallizable benefitting from its block structure, while the corresponding random copolyester (RD-PETP) is totally amorphous. The segments containing PEPE determine the extent of crystallization. Simultaneous thermogravimetric-differential scanning calorimetry (TG-DSC) and rheological analysis prove the cross-linking behaviour of SSP-PETP although the block constitution slightly postpones cross-linking occurrence. The high complex viscosity of the SSP-PETP at 340 °C suggests good flame retardancy and anti-dripping properties. Micro combustion calorimeter (MCC) results prove both SSP-PETP and RD-PETP copolyesters have low flammability, which demonstrates that block structure of SSP-PETP doesn't have a negative impact on the flammability of copolyesters.
HCRF-UBM approach for text-independent speaker identification

Hidden conditional random fields (HCRFs) directly model the conditional probability of a label sequence given observations. Compared to hidden Markov models (HMMs), HCRFs provide a number of benefits in modeling of speech signals. This paper presents a speaker modeling technique using a universal background model (UBM) approach with discriminative trained HCRFs. An efficient method is proposed for adapting the UBM to an HCRF-based speaker model, and it is further enhanced by discriminative training. For the identification of 300 speakers drawn from the MAT2000 database, the experimental results indicate that the HCRF-UBM approach consistently achieved the lowest error rate among the three approaches (GMM-UBM, HMM-UBM and HCRF-UBM) regardless of the length of the enrollment speech. This study also investigates the elapsed times of the training (enrollment) and testing processes, with results showing that the HCRF-UBM approach outperforms HMM-UBM for both elapsed times. Compared with HMM-UBM, this setup reduced the elapsed times of the training process by 50%. These experimental results indicate that HCRF-UBM enjoys potential for development in speaker modeling.
High speed and high torque electric transaxle enabling unprecedented use in agricultural applications

The world of agricultural equipment continues to evolve in order to adapt to the needs of the sector, shifting to the use of small and efficient electric vehicles (EVs), which are more suited for compact dimensions and high performance. Such is the requirement in farms, nurseries, greenhouses and vineyards, where movement space for vehicles is confined, the crop sensitive to green-house emissions and high towing capacity is necessary. The most important component to contribute to torque and speed is the transmission system (transaxle). Current transaxles fitted on electric vehicles are less efficient, have a cumbersome design, consume more electrical energy, have reduced battery operational time and are more expensive, thereby costing farmers up to 50% more in operational expenses. 
TX3 aims at realizing an efficient ""Third Generation Transmission Axle"" presenting flexibility in torque and speed and a compact design to suit the needs of the sector. We will combine the best technologies in mechanical gear ratios, mechanical differential locking and transaxle modularisation, to produce a novel design that will completely revolutionise transaxles for the agricultural electric vehicle sector. The high efficiency of the transmission will allow for enhanced vehicle autonomy with higher load capacity and longer battery life expectancy on a single charge. The application of TX3 is expected to have ripple benefits across Europe and globally, maximising the productive running time, thereby increasing productivity for farmers.
We will utilize our well established commercialization channels, which include our presence in 40 countries across 5 continents, to break onto the international markets, starting with Italy, Germany and France.  In 2014, the agricultural machinery industry posted a total turnover of €27 billion out of an estimated total global market value of €160 billion in 2016.
Biological physics of living active nematics

The growth of a bacterial colony is a fascinating example of a biological process that can be interpreted in physical terms as the interaction of a collection of elementary units - the cells - with the surrounding environment and within themselves, whereby energy is harnessed and dissipated, thus determining inherent non-equilibrium conditions. Although bacterial cells are one of the simplest forms of life, scientists have so far found difficult to build theoretical models of bacterial growth and morphology as well as to perform controlled experiments of the real systems occurring in nature. These difficulties arise from the naturally occurring conditions that are characterized by a large degree of complexity in both morphological and chemical terms.
The aim of this project is to investigate through novel experimental approaches the biological physics which is at the foundation of the formation of 2D bacterial microcolony and its successive development to a 3D structure. To this purpose, several experimental techniques, from traction force microscopy, through laser ablation and soft lithography will be exploited. Furthermore, experimental results obtained from these studies will be of great relevance for the validation of numerical and theoretical models of bacterial colony morphogenesis and antibiotics exposure. The planned research activities will be carried out in one of the top research laboratory in Europe for active matter and within the wider context of École Normale Supérieure, a world renowned academic institution in the fields of statistical mechanics, soft matter and optics.
This project aims thus at providing fundamental insights into the development of early stages of bacterial community formation, trying to establish what physical parameters related to the cells, the environment and their interactions determine the transitions from a 2D to a 3D structure, and lastly to gain control over these parameters.
Mystical Dimensions of Islam, Past and Present (Keynote 4)

This paper focuses on Sufism, the still little-known mystical tradition of Islam. It examines the early development of Sufism, beginning with the model conduct of the Prophet Muhammad himself and highlighting some famous Sufi figures in early Islam. The crucial relationship between Sufism and the Shari‘a, as well as the development of Sufi theosophy, are then examined. The discussion moves to the emergence of the Sufi brotherhoods (tariqas) and their key role in medieval Muslim society. Finally, the ongoing importance of Sufism right across the Muslim world and its growth in Europe and America in recent times are addressed. This article was first delivered as a keynote speech at the Third International Conference of the British Association for the Study of Spirituality, Spirituality in a Challenging World.
The effect of training in an interactive dynamic stander on ankle dorsiflexion and gross motor function in children with cerebral palsy

To study the effect of active stretching of ankle plantarflexors using an interactive dynamic stander in children with cerebral palsy (CP).Six children in Gross Motor Function Classification System classes I-III, aged 4-10 years, trained intensive active dorsiflexion in an interactive dynamic stander using ankle movement to play custom computer games following a 10-week control period. Gross Motor Function Measure Item Set, gait performance and passive and active dorsiflexion with extended and flexed knee were chosen as outcome parameters.Median active and passive ankle dorsiflexion increased significantly (5 and 10 degrees, respectively) with extended knee. There was a small but clinically significant increase in gross motor function. The intervention had no effect on temporospatial gait parameters.In spite of the low number of participants, these results may indicate that intensive active stretching in an interactive dynamic stander could be an effective new conservative clinical treatment of ankle plantarflexor contracture in children with CP.
Validación de la Escala de Eficacia Docente para la Escritura en el Contexto Educativo Español

In this study, we adapt and validate the Teacher Efficacy Scale for Writing to the Spanish educational context. The study participants comprised 452 teachers of Spanish language and literature from compulsory education. We analyse a factorial model of the scale with two factors, personal efficacy and general efficacy, and two sub-factors within the personal efficacy factor. We also compare the fit of the proposed factorial model to the traditional 2-factor model and analyse the factorial invariance of the model with respect to participants’ gender and educational level. Our results confirm that the proposed factorial model has a good fit to the data as well as its factorial invariance with respect to the sample characteristics. The Escala de Eficacia Docente para la Escritura is a valid, reliable, easy-to-use instrument for assessing teacher efficacy for writing in Spanish teachers.