SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Supramolecular engineering of multifunctional systems and devices: the molecular approach to 2d materials

SUPRA2DMAT is a multidisciplinary project aimed at exploiting materials engineering, by mastering supramolecular approaches, to combine the outstanding physico-chemical properties of graphene and other 2D layered materials (2DLMs) with the chemical and functional programmability of molecular components, with the ultimate goal of modulating and enhancing the properties of 2DLMs and imparting them a responsive nature. The monolayer nature of 2DLMs makes them extremely sensitive to environmental changes at the nanoscale. Controlled processing and interfacing of 2DLMs with functional molecular assemblies will be attained by means of non-covalent and (dynamic) covalent chemistry approaches. The physisorption of redox, magnetic or optical switches to create crystalline superlattices on 2DLMs will enable the fabrication of high-performance electrical devices capable to simultaneously respond to at least two external independent stimuli. Structurally precise hairy 2D and 3D layer-by-layer porous composites for multianalyte chemical sensing will be tailored via chemisorption of supramolecular receptors of the target analyte onto the 2DLMs. Highest sensitivity and selectivity in the sensing of water molecules (humidity) as well as heavy or alkali metal ions through an electrical readout will be guaranteed by the choice of the receptor and 2DLM and their nanostructuration.
The knowledge developed in SUPRA2DMAT will lead to the emergence of a conceptually new generation of multifunctional high-performance devices for applications in optoelectronics and chemical sensing, and on the long term also in energy and spintronics. SUPRA2DMAT will also bring a useful contribution to the development of future emerging technologies based on 2DLMs for light-weight, low-cost and large-area applications products on flexible substrates, e.g. for nanoscale multifunctional logic technologies and environmental monitoring, thus opening new and important perspectives in materials and nanosciences.
PROPELLER SHAFT FOR MOTOR VEHICLE

A propeller shaft for a motor vehicle, incorporating two shaft elements (12, 14) including portions (17, 18) interfitting axially with one another and deformed to a torque transmitting cross-sectional shape, so that frictional forces therebetween are sufficient to prevent relative axial movement in normal service. Under accident conditions, however, the shaft is able to collapse axially during which one of the shaft elements (14) is progressively deformed by the other to provide progressive absorption of energy.
Use of dispersing springboards to reduce near-bottom velocity in a toe basin

It is noted that the load that develops under high near-bottom velocities should be consider when analyzing the loads on a toe-basin slab in the case of high-head hydroprojects. They may not only create significant forces against the surface of the slabs, but also give rise to the appearance of suspending forces, which act on blocks of the toe—basin slab of the apron. To reduce near-bottom velocities, it is recommended that a group of dispersing springboards with a double-curved surface be incorporated in the terminal section of the spillway. Numerical modeling of the operating regime of the basin indicates that a submerged hydraulic jump is formed here in the basin, while near-bottom velocities are reduced by more than a factor of two, and, consequently, a more than fourfold reduction occurs in the load.
Reconceptualizing Southern Vietnamese History from the 15th to the 18th Centuries: Competition along the Coasts from Guangdong to Cambodia.

This study is a preliminary step toward a more systematic analysis of the standard dynastic histories and other sources, with a focus on the region called Cochinchina and its connections with nearby territories. I note that Champa remained a viable political entity after 1471 and the Mạc Dynasty controlled extensive parts of the southern territories, even after their defeat in Đong Kinh c. 1596. Thus, control of the south by Nguyen rulers was a gradual and complex affair, not to be reduced to family rivalries and not decisively inaugurated in 1558. Political and economic concern with the coast was no more important than control over production centers in the highland interior. These findings help refute the “Southern Push” model of Vietnamese expansion, indicating that it was not a thousand-year long process, did not involve the steady displacement of indigenous peoples, and did not focus exclusively on agrarian resources. There was not a purely north-south trajectory for political integration, and control of east-west rivers connecting the coast and the middle Mekong was no less important than control of the coast itself. Although historians have long focused on key dates and events in the dynastic chronicles, many of these are less obvious watersheds than they recognize.
Actafactors: tumor necrosis factor-based immuno-cytokines with superior therapeutic indexes

Tumor Necrosis Factor (TNF) is a homotrimeric pro-inflammatory cytokine that was originally discovered based on its extraordinary antitumor activity. However, its shock-inducing properties, causing hypotension, leukopenia and multiple organ failure, prevented its systemic use in cancer treatment. With this proof-of-concept study we want to evaluate a novel class of cell-targeted TNFs with strongly reduced systemic toxicities (AcTafactors). In these engineered immuno-cytokines, single-chain TNFs that harbor mutations to reduce the affinity for its receptor(s) are fused to a cell- specific targeting domain. Whilst almost no biological activity is observed on non-targeted cells, thus preventing systemic toxicity, avidity effects at the targeted cell membrane lead to recovery of over 90% of the TNF signaling activity. In this project we propose a lead optimization program to further improve the lead AcTafactors identified in the context of the ERC Advanced Grant project and to evaluate the resulting molecules for their ability to target the tumor (neo)vasculature in clinically relevant murine tumor models. The pre-clinical proof-of-concept we aim for represents a first step towards clinical development and ultimately potential market approval of an effective AcTafactor anti-cancer therapy.
Structure and microstructure dependent ionic conductivity in 10 mol% Dy2O3 doped CeO2 nanoparticles synthesized by mechanical alloying

Abstract Nanocrystalline powders of 10 mol% Dy 2 O 3 doped ceria (CeO 2 ) are prepared by mechanical alloying the mixture of CeO 2 and Dy 2 O 3 powders within a short duration of 1 h of milling in open air and the powder is further milled for 3 h and 8 h to confirm the phase stability, measure the change in microstructure parameters and find the dependence of ionic conductivity on the microstructure parameters with increasing milling time. Different structural and microstructural parameters such as lattice parameter, particle size, and microstrain in doped CeO 2 nanoparticles are obtained by Rietveld refinement using XRD data employing MAUD software. Ionic conductivities of the compounds for three different milling durations are measured as a function of temperature (350 °C–560 °C). Dy-doping is found to enhance the ionic conductivity of ceria nanoparticles and the 8 h milled sample shows highest conductivity. Increase in ionic conductivity of sample with increase in milling duration is attributed to the change in the structure and microstructure parameters of the compounds.
PRESSING UNIT

The invention relates to a machine for manufacturing or processing a material web (9), in particular a paper, cardboard, or tissue web, said machine comprising a pressing unit having a press roll (1) and a counter-press roll (8), wherein the press roll (1) is mounted on a pivotable mounting lever (12) and can be moved by means of at least one adjusting unit (14) between an operating position in which the press roll (1) is pressed against the counter-press roll (8) and an inoperative position in which the press roll (1) is not pressed against the counter-press roll (8), characterised in that the pressing unit is a double pressing unit and the press roll (1) mounted on the pivotable mounting lever (12) is arranged as a second press roll (1) in the web running direction of the material web (9).
Dynamics of tether-tugging reorbiting with net capture

To control the growth of space debris in the geostationary earth orbit (GEO), a novel solution of net capture and tether-tugging reorbiting is proposed. After capture, the tug (i.e., active spacecraft), tether, net, and target (i.e., GEO debris) constitute a rigid-flexible coupled tethered combination system (TCS), and subsequently the system is transported to the graveyard orbit by a thruster equipped on the tug. This paper attempts to study the dynamics of tether-tugging reorbiting after net capture. The net is equivalent to four flexible bridles, and the tug and target are viewed as rigid bodies. A sophisticated mathematical model is developed, taking into account the system orbital motion, relative motion of two spacecraft and spacecraft attitude motion. Given the complexity of the model, the numerical method is adopted to study the system dynamics characteristics. Particular attention is given to the investigation of the possible risks such as tether slack, spacecraft collision, tether rupture, tether-tug intertwist and destabilizing of the tug’s attitude. The influence of the initial conditions and the magnitudes of the thrust are studied.
PCBOST: Protein classification based on structural trees

In this paper, we present the protein classification based on structural trees (PCBOST). This is a novel hierarchical classification of proteins that is primarily based on similarity of overall folds of proteins as well as on the modeled folding pathways of proteins. Amino acid sequences, functions of proteins and their evolutionary relationship are not taken into account in this classification. To date the database includes 3847 proteins and domains grouped into six categories having structural similarity and forming six structural trees (total 10,547 PDB-entries). The work on extension of the database and construction of novel structural trees is in progress. The service is free for all users and available at the URL <http://strees.protres.ru/>.
Low-Cost reliable indoor positioning in smart factories

We are clearly on the verge of Industry 4.0. The European Commission is investing on European Industry digitalisation not only to improve competitiveness but also to reach climate-neutrality. Indoor Positioning (IP) will play a key role in Industry 4.0 by, for instance, supporting unmanned vehicles navigation or tracking goods within the value chain.   Despite there are already technologies coping with the technical requirements for IP in industrial environments, they present drawbacks that might prevent its usage. Moreover, a direct comparison of the current IP technologies is not possible due to the diversity of scenarios used in empirical evaluation.   This project aims to provide a significant contribution to Industrial IP by: i) proposing a new scalable high-accurate solution; ii) dynamically integrating multiple IP technologies; iii) creating an open evaluation framework.  From the methodological point of view, a novel solution -based on Visible-Light Communications principles- will be proposed. Moreover, data provided by positioning modules will be processed with neural networks and local outlier factor to detect anomalous behaviour. Trusted positioning information will be coded as hyperspectral images to allow dynamic sensor fusion through Deep Neural Networks. Finally, the Experienced Researcher, with the support of 3 industrial partners and 12 international researchers, will agree an evaluation framework for Industrial IP.   The project outcomes will contribute to the IP community with significant advances to the state-of-the-art solutions and, specially, with a new open evaluation framework and generated datasets. The Experienced Researcher will emerge from the project with acquired multidisciplinary competences necessary to conduct high-impact research projects and deliver high-level consultancy services. Thus, it will grant the ER the capacity of achieving maturity and independence on Industrial IP, a research area with great growth potential.
Metabolic exchanges within tumor microenvironment

Tumor progression toward malignancy often requires a metabolic rewiring of cancer cells to meet changes in metabolic demand to forefront nutrient and oxygen withdrawal, together with strong anabolic requests to match high proliferation rate. Tumor microenvironment highly contributes to metabolic rewiring of cancer cells, fostering complete nutrient exploitation, favoring OXPHOS of lipids and glutamine at the expense of glycolysis and enhancing exchanges via extracellular microvesicles or exosomes of proteins, lipids and small RNAs among tumor and stromal cells. Noteworthy, the same molecular drivers of metabolic reprogramming within tumor and stroma are also able to elicit motility, survival and self-renewal on cancer cells, thereby sustaining successful escaping strategies to circumvent the hostile hypoxic, acidic and inflammatory environment. This review highlights the emerging role of nutrients and vesicle-mediated exchanges among tumor and stromal cells, defining their molecular pathways and offering new perspectives to develop treatments targeting this complex metabolic rewiring.
A high-sensitive green localization system for high-speed self-driving vehicles

Among the main goals of Intelligent Transportation Systems are (i) safety: reducing threats encountered due to human impact, and (ii) efficiency: providing transportation opportunities in an ecologically and economically sustainable way. Self-driving vehicles (SDV) have the potential to achieve both goals, for which localization (i.e., the determination of the positon and velocity of the vehicle) is of key importance. Localization is challenging due to the variety of conditions (weather, clutter, obstructions) that may impede different sensors, as well as the strict latency requirements. Accurate and fast localization is a necessity for providing crash-safe high-speed SDVs. Furthermore, reducing energy costs introduced by the continuous localization process is required for reducing the frequency to charge an SDV. Current SDV localization technology is insufficient in meeting these three performance measures at the same time, requiring a different approach for high-speed SDVs. This project proposes a high-sensitive fast green relative localization system, called as GREENLOC, which obtains and shares the relative location of surrounding vehicles and road-side units by ultra-wideband cross-layer communications in a multi-hop vehicular ad-hoc network. GREENLOC is the first localization system, which enables crash-safe SDVs driving not only on highways close to speed limits, but also in congested low-speed traffic. Moreover, GREENLOC is the first localization method that works accurately even in difficult weather conditions. This project has the potential to shift Europe forward in the international competitive race of SDVs, making crash-safe high-speed SDVs possible, which in turn has the potential to solve the traffic congestion problem. Besides, this fellowship is an excellent opportunity for the experienced researcher, who is enthusiastic about realizing her idea in an international research environment after a long period of parental leave dedicated to her family.
Establishment of an international database for genetic variants in esophageal cancer

The establishment of a database has been suggested in order to collect, organize, and distribute genetic information about esophageal cancer. The World Organization for Specialized Studies on Diseases of the Esophagus and the Human Variome Project will be in charge of a central database of information about esophageal cancer-related variations from publications, databases, and laboratories; in addition to genetic details, clinical parameters will also be included. The aim will be to get all the central players in research, clinical, and commercial laboratories to contribute. The database will follow established recommendations and guidelines. The database will require a team of dedicated curators with different backgrounds. Numerous layers of systematics will be applied to facilitate computational analyses. The data items will be extensively integrated with other information sources. The database will be distributed as open access to ensure exchange of the data with other databases. Variations will be reported in relation to reference sequences on three levels--DNA, RNA, and protein-whenever applicable. In the first phase, the database will concentrate on genetic variations including both somatic and germline variations for susceptibility genes. Additional types of information can be integrated at a later stage.
Unsafe Floating-point to Unsigned Integer Casting Check for GPU Programs

Numerical programs usually include type-casting instructions which convert data among different types. Identifying unsafe type-casting is important for preventing undefined program behaviors which cause serious problems such as security vulnerabilities and result non-reproducibility. While many tools had been proposed for handling sequential programs, to our best knowledge, there isn't a tool geared toward GPUs. In this paper, we propose a static analysis based method which points out all potentially unsafe type-casting instructions in a program. To reduce false alarms (which are commonly raised by static analysis), we employ two techniques, manual hints and pre-defined function contracts, and we empirically show that these techniques are effective in practice. We evaluated our method with artificial programs and samples from CUDA SDK. Our implementation is currently being integrated into a GPU program analysis framework called GKLEE. We plan to integrate dynamic unsafe type-casting checks also in our future work.
Developing and implementing sustainability-based solutions for bio-based plastic production and use to preserve land and sea environmental quality in europe

The project BIO-PLASTICS EUROPE addresses the topic „Sustainable solutions for bio-based plastics on land and sea“ (Topic identifier: CE-BG-06-2019), within the focus area „Connecting economic and environmental gains - the Circular Econonmy (CE)“ and will focus on sustainability strategies and solutions for bio-based products to support the Plastics Strategy. This shall include innovative product design and business models facilitating efficient reuse and recycling strategies and solutions, including ensuring the safety of recycled materials when used for toys or packaging food stuffs. In line with the EU strategy on international cooperation in research and innovation and in order to encourage the further replication, the European consortium is complemented by a partner in Malaysia, providing an added value and helping them to address the many problems they face.
Applying state of the art smart sensor technology and structure from motion (sfm) photogrammetry for quantification of large wood (lw) movement processes and accumulation assessment in fluvial systems

Large wood (LW) plays an important role in fluvial systems as it moderates stream power, regulates sediment transport and provides habitat for fish and other living organisms. Besides the beneficial effects of a balanced wood budget in rivers, challenges arise for abundant quantities of accessible LW. Large quantities of wood show negative effects on stream ecology, river-crossing infrastructure and flood mitigation. The sudden and disastrous occurrence of LW during floods regularly affects communities and stream systems all over the world. Due to a lack of applicable methodologies in LW research little is known about transport dynamics of wood in rivers to date. In order to expand the current understanding of flow-sediment-wood interaction processes, especially at higher flow rates, specific and profound research is required. This project aims to utilise state of the art technologies for the application in nature sciences. Nine-degree of freedom (9-DoF) smart sensors are implanted into wood logs ‘SmartWood’, to capture complex movement processes in-situ. Furthermore, Structure from Motion photogrammetry is applied for the generation of 3D LW accumulation models, on a basis of 2D images, for precise volume, porosity and surface texture evaluation. The innovative methodologies allow for novel insights into LW movement behaviour and for quantification of wood deposits, which are often obstructing and diverting the flow. An improved understanding of LW movement processes is essential to better predict arising impacts on channel morphology, river-crossing infrastructure and environment. Gained results will contribute in a more reliable risk assessment for wood prone stream systems, advanced river and forestry management strategies under consideration of LW conveyance and filtering of critical key-logs, and to realize a concept that allows wood in rivers, as a natural and environmentally important element, consistent with modern land use and infrastructure.
Nematode-Based screening technology for next-generation drug discovery

Alternative model organisms, such as worms or flies, are getting increasingly popular in the drug discovery field, since they are proving to be suitable for replacing mammals for several aspects of the screening tests in the pre-clinical phase. In this context, one of the most interesting models is a roundworm species, named Caenorhabditis elegans. Its microscopic size, however, hinders its actual use in the field, since the protocols for its maintenance and study still completely rely on manual handling/observation techniques, definitely lacking any reproducibility and throughput standards. 
The NeMatrix project proposes to fill this technological gap, by developing a microfluidic platform for fully automated culture and analysis of C. elegans –and, more in general, roundworms-, tailored for drug screening applications. Specifically, starting from a simple worm suspension, our envisioned prototype will employ a set of microfluidic-based automated operations to: (i) gently distribute nematodes within separate microcompartments; (ii) feed them at desired food rate, time and concentration; (iii) expose them to drug tests at desired rate, time and drug concentrations; (iv) continuously monitor multiple phenotypes over the whole worm population in the device; (v) provide real-time data analysis and store/exploit results in a “big data” approach. This project would provide one of the first examples of next-generation technologies for whole-organism drug screening, with the potential of paving the way for the widespread use of worms and other alternative model organisms for the replacement, reduction and refinement of animal testing in biomedical research and pharmaceutical industries. 
The project will be held in close collaboration with key industrial partners in the field, in the framework of a planned startup company, which currently is on the way of creation.
DEVELOPMENT OF AN INNOVATIVE POWER UNIT THAT ALLOWS THE DIRECT PRODUCTION OF ELECTRICITY, WITH HIGH EFFICIENCY AND IN THE ABSENCE OF NOISE EMISSIONS, FROM LIQUID FUEL

DEVELOPMENT OF AN INNOVATIVE POWER UNIT THAT ALLOWS THE DIRECT PRODUCTION OF ELECTRICITY, WITH HIGH EFFICIENCY AND IN THE ABSENCE OF NOISE EMISSIONS, FROM LIQUID FUEL