SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
BIO-DEVELOPMENT OF MOTORWAY NETWORK IN THE NETHERLANDS: A SLIME MOULD APPROACH

Plasmodium of acellular slime mould Physarum polycephalum is a very large eukaryotic microbe visible to the unaided eye. During its foraging behaviour the plasmodium spans sources of nutrients with a network of protoplasmic tubes. In this paper we attempt to address the following question: is slime mould capable of computing transport networks? By assuming the sources of nutrients are cities and protoplasmic tubes connecting the sources are motorways, how well does the plasmodium approximate existing motorway networks? We take the Netherlands as a case study for bio-development of motorways, while it has the most dense motorway network in Europe, current demand is rapidly approaching the upper limits of existing capacity. We represent twenty major cities with oat flakes, place plasmodium in Amsterdam and record how the plasmodium spreads between oat flakes via the protoplasmic tubes. First we analyse slime-mould-built and man-built transport networks in a framework of proximity graphs to investigate if the slime mould is capable of computing existing networks. We then go on to investigate if the slime mould is able calculate or adapt the network through imitating restructuring of the transport network as a response to potential localized flooding of the Netherlands.
Modern atm via human/automation learning optimisation

MAHALO asks a simple but profound question: in the emerging age of Machine Learning (ML), should we be developing automation that matches human behavior (i.e., conformal), or automation that is understandable to the human (i.e., transparent)? Further, what tradeoffs exist, in terms of controller trust, acceptance, and performance? To answer these questions, MAHALO will:
• Develop an individually-tuned ML system comprised of layered deep learning and reinforcement models, trained on controller performance (context-specific solutions), strategies (eye tracking), and physiological data, which learns to solve ATC conflicts;
• Couple this to an enhanced en-route CD&R prototype display to present machine rationale with regards to ML output;
• Evaluate in realtime simulations the relative impact of ML conformance, transparency, and traffic complexity, on controller understanding, trust, acceptance, workload, and performance; and
• Define a framework to guide design of future AI systems, including guidance on the effects of conformance, transparency, complexity, and non-nominal conditions.
Building on the collective experience within the team, past research, and recent advances in the areas of ML and ecological interface design (EID), MAHALO will take a bold step forward: to create a system that learns from the individual operator, but also provides the operator insight into what the machine has learnt. Several models will be trained and evaluated to reflect a continuum from individually-matched to group-average. Most recent work in areas of automation transparency, Explainable AI (XAI) and ML interpretability will be explored to afford understanding of ML advisories. The user interface will present ML outputs, in terms of: current and future (what-if) traffic patterns; intended resolution maneuvers; and rule-based rationale. The project’s output will add knowledge and design principles on how AI and transparency can be used to improve ATM performance, capacity, and safety.
INITIALIZATION OF AND MODEM FOR AN OFDM DATA TRANSMISSION

The present invention is concerned with an optimized efficiency of an Orthogonal Frequency Division Multiplex (OFDM) data transmission, in particular for power line communication. The length or duration of aguard interval or cyclic prefix in an OFDM symbol is selected from scratchat everystart-up of a modem while initializing or preparing the OFDM data transmission. The length of the guard interval is given by the number L of samples in a time-discrete representation, and the value of L that is retained for the subsequent data transmission is selected from a plurality of pre-determined possibilities based on an evaluation of a channel qualityofa communication channel including a physical line to which the modem is connected. Hence, the selected value of L depends on actual transmission conditions, and the optimization potential offered by a more flexible handling of the system parameters L and N is exploited in order to meet changing conditions on the physical line.
Identification of potential sources of PM10 pollution from biomass burning in northern Thailand using statistical analysis of trajectories

Abstract Open burning emissions strongly influence smoke haze problems in Southeast Asia (SEA). The main objective of this study is to investigate the percent contribution of emissions from local and transboundary on air pollutant concentrations, particularly PM10 (particulate matter with a diameter of less than 10 μm), using the potential source contribution function (PSCF). A three-day backward trajectory (BWT) analysis of air mass movements at the Chiang Mai Air Quality Monitoring (CM-AQM) station in the dry season (February–April) during the years 2010–2015 was run and clustered. It was found that the air masses mainly originated from the southwest of the CM-AQM station. The correlation between the PM10 concentration and the number of active fires during the three-day BWT showed the highest correlation in April (R2 = 0.64). The PSCF values showed that most of the high-potential sources (0.9–1.0) and emissions were transboundary from Myanmar (73.2%) and within Thailand (26.8%). The major open burning source during March and April was found in the agricultural areas of Myanmar, and the second-greatest source was found in the forested areas of Myanmar. However, the agricultural areas of Thailand contributed to the PM10 concentration in northern Thailand (NT) in February. Thus, this result shows that potential point sources of pollutants such as biomass burning, including those transported across national boundaries, can be investigated and determined their locations in the haze episodes of NT.
Bridging the treatment gap for mild and moderate anxiety and depression across eu

Each year, 25% of the EU population suffer from depression or anxiety, with higher rates for women than men. The cost of mood disorders and anxiety in the EU is about €170 billion per year. In most of the EU countries, patients with mild and moderate anxiety and depression only get access to specialised treatment from mental health professionals when the illness become severe. In the future, the society will have major problems in providing good healthcare if we are not able prevent more: between 1990-2013 the number of people suffering from depression and/or anxiety increased by nearly 50%.  
Experts emphasize that Internet-assisted treatments based on Cognitive Behavioural Therapy (ICBTs) have a great potential to improve care for mental disorders, but current solutions are having a slow adoption by health providers, mental health professionals and patients because they are very generic, do not provide controls to guarantee medical effectiveness and/or have not been designed to be used by health providers.
Explorable AS has developed the unique ICBT marketplace specially designed to be directly used by health providers. It includes an authoring tool so that practitioners at these health providers can easily create their owned ICBTs by implementing engaging technologies and gamified concepts. ICBTs will also be available to other practitioners working at other health providers. Patients only get access to ICBTs in our marketplace under the prescription of general or mental health practitioners: in that way we guarantee that patients get ICBTs with proven evidence-based therapies or best-practice methods, and they get access to specialised treatment designed by mental health professionals from the onset of their illness.
The overall objective of Mind-Gap Phase 1 is to carry out a feasibility study to verify the technological, practical and economic viability of scaling up our platform to other EU countries (market replication).
The interplay of HER2/HER3/PI3K and EGFR/HER2/PLC<i>-γ</i> 1 signalling in breast cancer cell migration and dissemination

HER2 signalling by heterodimerisation with EGFR and HER3 in breast cancer is associated with worst outcome of the afflicted patients, which is attributed not only to the aggressiveness of such tumours but also to therapy resistance. Thus, in the present study we investigated the role of EGFR, HER2 and HER3 lateral signalling in cell migration by applying the MDA-MB-468-HER2 (MDA-HER2) breast cancer cell line, representing a valid model system. Knockdown of HER3 expression by siRNA resulted in decreased phosphorylated AKT (pAKT) levels, abrogated epidermal growth factor (EGF)-mediated PLC-γ1 activation and a diminished EGF-induced migratory activity, depicting the interplay of EGF receptor (EGFR)/HER2/PLC-γ1 and HER2/HER3/PI3K signalling in mediating the migration of EGFR/HER2/HER3-expressing breast cancer cells. Since therapy failure usually arises from metastatic cells, we further investigated whether HER3 signalling was active in established breast cancer disseminated tumour cell (DTC) lines as well as in primary DTCs derived from breast cancer patients. EGF treatment of DTC lines resulted solely in increased pAKT S473 levels, whereas in MDA-HER2 cells both pAKT S473 and pAKT T308 levels were increased upon EGF stimulation. Moreover, despite active HER3 molecules, as indicated by pTyr1222 staining, about 90% of analysed breast cancer patient DTCs exhibited very low or even no detectable pAKT S473 levels, suggesting that these cells might have fallen into dormancy. In summary, our data indicate the important role in EGFR, HER2 and HER3 lateral signalling in breast cancer cell migration. Moreover, our data further show that primary tumour cells and DTCs can vary in their HER activation status, which is important to know in the context of cancer therapy.
Outils de suivi et d’autoévaluation de l’irinotécan et du bévacizumab dans les glioblastomes : de la prescription à l’information du patient

In 2007, the use of a new therapeutic association that included two expensive drugs (bevacizumab and irinotecan), used in second line treatment for progressive glioblastoma, led to the increase of the monitoring and self-evaluation of the medical prescriptions. Methodological tools have been designed by neuro-oncologists together with pharmacists of the Pitié-Salpêtrière Hospital in order to be consistent with the "good use economic contract". Those drugs have not been approved by European authorities in this indication and, moreover, this combination presents adverse effects and contraindications that need to be known by the professionals, the patient and his family. Some documents have been created in order to facilitate prescriptions for neuro-oncologists and others provide monitoring tools for the physicians and nurses. A letter of information targets the patient and his family, another one targets the general practitioner. This is useful for a better coordination between these ones and the hospital. The patient receives a document and a monitoring book in order to inform him about his treatment and help him to prevent and react in time in case of side effects occurrence. Those measures have been designed to put a frame around the prescriptions and to decrease iatrogenic events as well as the economic costs.
Molded foldable cabinet

A cabinet of the sort used as a vanity, or the like, is molded in several components connected in articulated relation for shipment in a flat, folded condition yet readily erected for installation. The components include a front panel formed with integral hinges connected to cooperating integral hinges formed on a pair of side panels adapted to fold over against one another and the front panel when the cabinet is in a collapsed position. A pair of shelves is provided, each with integral hinge pins pivotally engaging the front and side panels by sockets formed between the side panels and the front panel, both shelves being foldable against the front panel when collapsed. A back panel is provided for closing the rear of the cabinet when erected and means are provided for re-inforcing and supporting the various components from damage during shipment.
Yufe transforming research and innovation through europe-wide knowledge transfer

As part of the European Research Area vision, the European Commission is aiming to see the necessary transformations in R&I that will include the promotion of citizen science and societal engagement, the mainstreaming of Open Science practices, the fostering of brain and knowledge circulation, strengthening of academia-business collaboration and embodiment in a glocal Research and Innovation (R&I) ecosystem. The YUFE (Young Universities for the Future of Europe) alliance embraces in YUFERING this challenge by effectively contributing to pilot these needed transformations to improve and harmonise the conditions for R&I in Europe. Focusing on key elements of the ERA and in full alignment with the relevant SwafS call for proposals, YUFERING proposes ground-breaking transformation actions that will bring the partners one step closer to creating and realising a shared robust R&I vision. These transformations comprise community engaged R&I, flipped knowledge transfer to the enterprise sector and the society at large, shared R&I agendas, support structures and research infrastructures, as well as common open science strategies and new incentive and reward schemes for researchers based on the new open science era. 
The European cooperation and transformation in R&I (next to education) that is objective of the European Universities Initiative is unavoidably dependent on multilateralism, synergy and support from the EU as well as Member States. In YUFERING, the YUFE partners will also work towards assessing the legal, regulatory and financial conditions that are relevant towards the creation of a stronger ERA and will identify recommendations towards transformation needed to make sharing of capacity and resources possible and attractive for academics and institutional/private funders. Within YUFERING, the alliance will explore synergies with other ‘European Universities’ to facilitate collaboration in relevant activities and towards addressing shared challenges and barriers.
Formulating Dynamic Agents’ Operational State via Situation Awareness Assessment

Managing autonomy in a dynamic interactive system that contains a mix of human and software agent intelligence is a challenging task. In such systems, giving an agent a complete control over its autonomy is a risky practice while manually setting the agent’s autonomy level is an inefficient approach. This paper addresses this issue via formulating a Situation Awareness Assessment (SAA) technique to assist in determining an appropriate agents’ operational state. We propose four operational states of agents’ execution cycles; proceed, halt, block and terminate, each of which is determined based on the agents’ performance. We apply the SAA technique in a proposed Layered Adjustable Autonomy (LAA) model. The LAA conceptualizes autonomy as a spectrum and is constructed in a layered structure. The SAA and the LAA notions are applicable to humans’ and agents’ collaborative environment. We provide an experimental scenario to test and validate the proposed notions in a real-time application.
Efficient numerical modeling of moving contact lines under non-isothermal conditions

A moving contact line (MCL) is a moving line of intersection between a fluid/fluid interface and a solid wall. MCLs are central to a wide range of flows in nature and industry, however, their modeling has been a classical difficulty, especially under non-isothermal conditions. The project will tackle this challenge and we will develop a novel computational model enabling simulations of non-isothermal flows involving MCLs with unprecedented efficiency. The model borrows the idea from the large eddy simulation in turbulence modeling; it will resolve the macroscale flows only while model the effect of MCLs using non-isothermal hydrodynamic theories, which will also be developed in the present project. We expect that the model can lead to a reduction of computational effort by nine orders of magnitude for three-dimensional flows, compared with direct numerical simulations using a uniform grid, and it will therefore enable affordable simulations of practical flows in industry.
El género Vacekia (Grammoceratinae, Ammonitina) del Aaleniense de la Cordillera Bética

Las secciones estratigráficas levantadas en el Aaleniense de la Cordillera Bética han proporcionado mas de un centenar de ejemplares de Vacekia Buckman, cuyo estudio ha permitido conocer mejor su morfología y su distribución espacio temporal. Vacekia es un género frecuente pero raramente mayoritario en el Dominio Mesogeo; por el contrario, es muy escaso e incluso desconocido en el Dominio Mesoeuropeo. Es destacable la amplia variabilidad intraespecifica de V. stephensi Buckman que se refleja en los distintos morfotipos debilmente costulados, reconocidos en la Cordillera Bética. Vacekia ha sido registrada por primera vez en la parte superior de la Zona de Opalinum y se distribuye de manera casi contínua hasta el final de la Zona de Murchisonae; en la Zona de Concavum es muy escasa. Las asociaciones sucesivas de ammonites de las que forma parte muestran una gran similitud con las existentes en otras regiones de! Dominio Mediterraneo: Italia, Norte de Africa, Portugal, etc.
Re-Factoring pseudomonas putida for biosynthesis of vaiue-added polymers from cellulosic waste

Lignocellulose is the most abundant organic matter on Earth and important constituent of agricultural and industrial wastes. Lignocellulose-derived monomeric sugars and aromatic compounds can serve as a cheap substrates for biotechnological production of numerous value-added chemicals (VAC). However, a well-defined bacterial platform that could efficiently utilize lignocellulose for biosynthesis of VAC in a single step is still missing. The saprophytic bacterium Pseudomonas putida KT2440, a robust laboratory workhorse with versatile metabolism, has wide potential to utilize lignocellulose-derived sugars and aromatics for VAC formation. But the need for enzymatic pretreatment of the recalcitrant lignocellulose components hinders the development of a cost-effective processes. This challenge could be solved by expanding the biocatalytic functions of P. putida using cellulosomes, efficient enzymatic nanomachines displayed on the surface of certain cellulolytic microorganisms. Synthetic cellulosomes were successfully engineered in biofuel-generating yeast, but never in a Gram-negative bacterium.     
     The applicant will adopt state-of-the-art approaches and tools of synthetic biology, systems biology and metabolic engineering in order to construct P. putida displaying designer cellulosomes and forming valuable biopolymers directly from cellulosic waste. This task requires a rational orchestration of distinct physiological features of the host in order to achieve the desired qualities without compromising cell viability. In this context, the study will also propose a roadmap for massive refactoring and enrichment of native metabolic properties of environmental bacteria. Thus, the project will not only allow the applicant to enhance his research skills, but will also contribute to both understanding fundamentals of model biological systems and corporate effort aimed at establishing FUTURE knowledge-based bio-economy in Europe.
The Exploration of the Way to Promote Students′ Capacity of Innovation and Practice from "Science and Technology Museum into Campus" Activity

This activity,science and technology museum into campus,is designed to promote students' three-dimensional interaction and strengthen their capacity of innovation and practice.During this activity,students have strengthened the mysterious feeling of technology innovation consciousness and practical ability,raising the student independent inquiry learning ability.Meanwhile,our teachers renewed their teaching ideas,made a new definition on the role of teaching,so that their level of educational theories and practice are both obviously enhanced.In addition,the capability of teaching theory level and teaching practice is increasing apparently.This paper,based on action research,analyzes operating mechanisms and achievement of practice of activity,science and technology museum into campus and has a certain sig-nificance of developing a wider range promotion and popularity.
Computational insights into interactions between Hg species and α-Fe2O3 (001)

First-principle calculations based on Density Functional Theory were performed to investigate the binding mechanisms of mercury species on α-Fe 2 O 3 (0 0 1) surface. This is crucial in demonstrating the contribution of α-Fe 2 O 3 existing in fly ash for mercury removal. It has been determined that Hg 0 is adsorbed on the α-Fe 2 O 3 (0 0 1) surface with physisorption mechanism. The oxidized forms of HgCl and HgCl 2 can be adsorbed on α-Fe 2 O 3 (0 0 1) dissociatively or non-dissociatively. In the case of dissociative adsorption, a close examination of the energy diagram indicates that HgCl may be favorable for the adsorption of Cl and desorption of Hg. The dissociation of HgCl 2 with the binding of Cl and HgCl on the surface is possibly the dominant interaction pathway.
Real operation pem fuel cells health-state monitoring and diagnosis based on dc-dc converter embedded eis

HEALTH-CODE aims at implementing an advanced monitoring and diagnostic tool for μ-CHP and backup PEM fuel cell systems equipped with different stacks. Such a tool is able to determine the FC current status (condition monitoring) to support stack failures detection and to infer on the residual useful lifetime. Five failure modes will be detected: i) change in fuel composition; ii) air starvation; iii) fuel starvation; iv) sulphur poisoning; v) flooding and de-hydration.

The main project objectives are: i) the enhancement of electrochemical impedance spectroscopy (EIS) based diagnosis; ii) the development of a monitoring and diagnostic tool for state-of-health assessment, fault detection and isolation as well as degradation level analysis for lifetime extrapolation; iii) the reduction of experimental campaign time and costs. Moreover, the improvement of power electronics for FC is also considered. These targets will be achieved through the implementation of several methodologies and techniques, well suited for industrial application.

Several algorithms will be developed relying on on-board EIS measurements of the fuel cell system impedance. Moreover, low-cost diagnostic concepts are also proposed for a straightforward implementation on FCS controllers.

The project exploits the outcomes of the previous FCH 1 JU funded project D-CODE, during which a proof of-concept validated in laboratory (TRL3-4) was developed. HEALTH-CODE will increase the TRL up to level 5.

The exploitation of the project outcomes will lead to low-cost and reliable monitoring and diagnostic approaches and related applications (e.g. power electronics). These results will have an impact on stationary FCS with a direct increase in electrical efficiency, availability and durability, leading to a reduction in maintenance and warranty costs, thus increasing the customers’ satisfaction. Therefore, HEALTH-CODE contributes to the enhancement of FC competitiveness towards a wider market deployment.