SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Avaliação do desempenho do sistema de informações hospitalares (SIH-SUS) na identificação dos casos de near miss materno

The aim of this study is to evaluate the performance of the Hospital Information System (SIH) of Brazilian National Health Service in identifying cases of maternal near miss in a tertiary hospital in the city of Rio de Janeiro, during the year of 2008. The identification of such cases was done through evaluation of the medical records of patients who presented with potential life-threatening conditions. The cases were selected after revision of the discharge summaries of those patients; this process is considered gold-standard. The second phase of the study consisted in the scrutiny of the information in the SIH-SUS, through a nominal search of the maternal near miss cases identified from the revision of medical records and selection of the Hospital Admittance Forms (AIH) which the fields “primary diagnosis”, “secondary diagnosis” and/or “performed procedure” presented data compatible with such grievance, thus evaluating the diagnostic properties of the SIH. After evaluation of 1.170 hospital chart summaries, 228 cases were selected for a full chart revision. After revision of the information in the medical charts 165 cases of severe maternal morbidity were identified, among which 8 resulted in maternal death, 130 were cases of severe maternal morbidity not classified as near miss, and 27 were effectively considered maternal near miss cases. In the initial evaluation of the SIH performance through the nominal search of women identified as near miss, it was detected that only 16 (59. 2%) cases were in the database. Regarding the absence of the other 11 (40.7%) remaining cases, it was detected that at least 4 (36.3%) of them resulted from the non-billing of the procedures because the hospital’s cesarean-section percentage limit had been exceeded. An analysis of the diagnostic properties of the SIH showed a 18,5% sensibility (95%CI = 6.3 – 38.1), 7.14% positive predictive value (95%IC = 2.36-15.9), 94.3% specificity (95%CI = 92.8 – 95.6) and area under the ROC curve of 0.56 (95%CI = 0.48 – 0.63). At a first look, considering the results obtained,the SIH does not seem to be a good tool for surveillance of maternal near miss.
Optimizing logistic fleets with machine learning to enable sustainable on-demand deliveries in cities

Two thirds of transportation take place in cities and is expected to grow dynamically over the coming years mainly due to e-commerce and an increasing demand for faster and more convenient deliveries. However, current methods to allocate deliveries among couriers and optimize them are slow, inefficient and often manual, leading to low utilization rates of vehicles and high costs. 
Airmee is an SaaS logistics platform that optimizes logistics fleets based on proprietary algorithms and consolidates by assigning the most suitable courier according to various parameters. We will use the SME funding to complete a Feasibility Study in Phase 1 to prepare for Phase 2 that will help us grow from our current TRL6 to reach TRL9.
Airmiz AB is a logistics startup founded by the entrepreneur Julian Lee (CEO) and the researcher at KTH in transport and logistics Adrian Prelipcean (CTO). The organization further consists of Fredrik Grahn (sales), Henrik Myhrvold (operations), Daniel Lee (operations), Daniele Tatasciore (front-end development), Tibor Fulup (front-end development) and Evgheni Gherghelejiu (mobile dev).
We license the Airmee platform to companies with their own logistics fleet and the fee per delivery. The total obtainable serviceable market is, at the moment, Sweden , where the e-commerce market is over €5B which corresponds to 50M deliveries valued at €250M.
Our competitors consist of optimization software that are limited in speed and flexibility, larger logistics providers that lack both the operations and technology to perform on-demand deliveries, and delivery startups that lack the technology to do the required optimizations. Airmee can optimize 500k deliveries (from different points within a city) per hour.
Airmee reduces congestion and pollution in cities by maximizing each courier’s capacity by enabling them to perform as many deliveries as possible per hour. Furthermore, it allows logistics providers to improve their margins.
Periurban Parks - Improving Environmental Conditions in Suburban Areas

PERIURBAN is a regional initiative project, of medium level cooperation intensity, which uses interregional exchange of experiences to improve policies on management of natural suburban areas. PERIURBAN focuses specifically on policy and management solutions to mitigate pressures on biodiversity. The creation and management of parks in natural suburban areas has a positive impact on the environment and on halting biodiversity loss. Focus on such initiatives is in line with European environment policy and redevelopment in suburban areas. 
PERIURBAN is an integration of 2 European initiatives: GreenLink led by Regione Toscana and CityNature promoted by FEDENATUR. Through cooperation, the leaders of these 2 initiatives saw the potential for real progress in the field on management of suburban areas for better environmental conditions.
PERIURBAN brings together 14 partners from 11 EU countries. Partners all have experience in and competencies to manage suburban areas, but are at
different stages with periurban parks. While some have long promoted such parks, and currently face management and sustainability concerns, others plan for their implementation and build on different suburban management experiences. Thus, this strong collection of partners representing regional authorities, local authorities, periurban parks and associations of parks, learn from each others' experiences in a continuous process of exchange.
Regione Toscana is responsible for management and coordination of the project (Component 1). FEDENATUR, with its vast network of contacts all over Europe, is in charge of Communication and Dissemination of activities and results (Component 2) to a wide and relevant audience. These horizontal activities go alongside the core activities of Exchange of Experiences (Component 3) and Methodology Testing and Action Plans (Component 4). During Component 3 (led by Regione Toscana), partners are involved in participative exchange workshops, thematic seminars
and study visits, all of which support them in a territorial analysis (including good practices). These analyses are brought together in a joint report and used to form the basis of a Common Methodology for creation and management of periurban parks. In Component 4 (led by Zografou Municipal Enterprise of Development), partners test the methodology in 4 partner areas and, through intense activities and peer reviews, feed back into the methodology to improve and consolidate it. 
To ensure long term sustainability of actions promoting suburban management, partners produces action plans for potential future activities, based on the PERIURBAN learning process. Memorandums of Understanding are signed between partners who see potential for future, constructive cooperation (among partners and with external entities involved in activities). The project concludes with an international conference in Tuscany, where the foundations for further steps forward in this field are sealed.
Investitionen in die Optimierung von Geschäftsprozessen mit dem Ziel, Produktion und Export zu verbessern

Makar hat eine Unternehmensanalyse durchgeführt und Probleme ermittelt, die durch das Projekt gelöst werden sollen – darunter geringere Produktivität, Unfähigkeit, Qualität zu beweisen, mangelnde Rückverfolgbarkeit der Dokumentation und klare Abfallbewirtschaftungsverfahren. Ziel des Projekts ist es, die Kapazitäten des Unternehmens durch die Einführung der Normen ISO 9001:2015 und ISO 14001:2015 zu stärken, die direkt zum Wachstum und zur Entwicklung kroatischer KMU beitragen werden. Gleichzeitig werden Bedingungen für das Wachstum der Verkäufe (55,4 %) und Exporteinnahmen (284,4 %), die Erhaltung bestehender Arbeitsplätze und die Schaffung neuer Arbeitsplätze geschaffen. bestehende (7) und Zukunft (2) Mitarbeiter und Endnutzer von Familienangestellten, Kunden und Partnern, Gespanschaft Zagreb und die Wirtschaft der Republik Kroatien insgesamt.
New diaphragm wall joint system allowing greater depths and high quality joints

The increasing demand for complex infrastructure projects in density populated areas represents a major challenge for the construction industry, especially in view of the intimate interaction between construction activities and urban living. Modern society is pressing for innovative technical solutions to eliminate the safety, quality, environmental and management risks related to underground works. 
Diaphragm Walls are the retaining structure of choice for many of the most complex deep-foundation projects. Forming quality joints between the individual diaphragm wall panels is identified as the most significant weakness of the current process. Existing jointing techniques were designed for walls to 30m deep; modern diaphragm walls are typically significantly deeper. Beyond 30m, the options available are either technically and environmentally poor, or increasingly problematic, leading to sub-standard, defective joints.
Foundation experts at CCMJ Systems have invented and patented the TTMJ (Tension Track Milled Joint) system which addresses the demand for a better diaphragm wall joint. This innovative new system offers the possibility to construct “perfect” joints to any depth irrespective of actual panel verticality. In addition it also allows for further innovation such as tension connections not currently possible.
TREVI, CCMJ Systems and Arup have teamed up to complete development of the TTMJ system from present status to ‘ready for market’. ARUP is the leading specifier of diaphragm walling projects worldwide, CCMJ Systems is the inventor, TREVI will lead the team and is vastly experienced deep foundations specialist with a global presence.
The expected outcome is a fully-functional and validated joint system providing a step change in diaphragm wall quality; ready for use across the deep foundations market.
Melanoma early warning system

However, there are several tools and solutions for aiding the melanoma detection (variable dermatoscopes, full-body mapping tools and Applications), they were not able to achieve breakthrough in the early diagnosis phase. It comes from the wrong methodologies. There are two types of available tools: 1) diagnostic tools, whit the aim of diagnosing skin-cancer without human intervention, and 2) medical equipment, which help the work of dermatologist during the examination in a doctor’s office. The problem with first methodology (artificial based skin-cancer diagnosis) is that these do not work reliable or do not work at all. The main problem of the second methodology is the very rare examination frequency. An average health conscious European adult visits skin-cancer screening in every 3-7 years. 
In contrast with these, MERWIS offers a solution that focuses on increasing the examination frequency, where the system does not need to establish a full diagnosis. MERWIS only looks for evolution (change) of every single monitored mole, but with high or very high frequency.
The validated and demonstrated MERWIS prototype is based on the fact that most clinical signs of melanoma are all visible. Through using the combination of a special body-mapping cabin, a mobile application based “self dermoscopy”, and a computer assisted qualitative data analysis software we can detect all the visible changes of melanoma ABCDE. Furthermore our system uses a custom made distributed ledger technology-based network cloud solution. Based on this framework it is possible to build the MERWIS decentralized database on a maximum security level and ensure scalability. 
The aim of this Phase 1 project is to carry out an extended feasibility study consisting of market assessment, business model validation, risk and IP strategy assessment, up-date and advancement of the business plan, and international pilot location selection to support the global commercialisation of our technology.
Automated system and installation process for a flexible mat fabric

A vehicle is provided for installing in a prepared area along a ground surface a protective structural support proximate a buried pipeline in an automated manner. The vehicle includes a chassis with a plurality of wheels and a payload release mechanism coupled to the chassis and including a roller for holding the protective structural support. The payload release mechanism is configured to dispense and lay down the protective structural support in the prepared area. The vehicle includes a liquid dispensing mechanism that is coupled to the chassis and is located downstream of the payload release mechanism. The liquid dispensing mechanism includes a liquid source and a dispenser that is in fluid communication with the liquid source and is configured to dispense liquid across a spray area.
EUSALP Energy Observatory

The EUSALP energy observatory will provide periodic and coherent energy data sharing at regional and macro-regional levels.

Access to reliable energy data is the basis for decision-makers to formulate, implement and verify the coherence of energy policies and measures. Public authorities engaged in sustainable energy planning, require access to territorial, aggregated and accurate energy data. To the same token, energy data will be needed at macro-regional level to support EUSALP consortium in defining, implementing and monitoring a long-term energy strategy for the Alpine territory.
Quality-driven workforce performance evaluation based on robust regression and ANOMR/ANOMRV chart

The integration of quality improvement and manufacturing system management has emerged as a promising research topic in recent years. Since operators’ performance variation can be reflected in product quality, workforce performance evaluation should be conducted with quality-based metrics to improve product quality as well as manufacturing system productivity. In this article, a methodology incorporating regression modeling and multiple comparisons is proposed to aid the performance evaluation. The effects of other impacting factors that contribute to operators’ performance variation are quantified with a robust zero-inflated Poisson regression model. The model coefficients are analyzed with multiple hypothesis tests to identify underperforming machines. Two statistical charts used in multiple comparisons are adopted for identifying underperforming operators. A case study with data from a real-world production system and a simulation experiment are presented to demonstrate the proposed methodology.
Optimal taxation of wealth

There has been a growing concern in public and academia about rising wealth inequality. In his book Capital in the 21st Century, Thomas Piketty has proposed implementing a global progressive “wealth tax” in order to reduce wealth inequality. The book has spurred discussions on wealth inequality and made taxation of wealth a subject of current debate.

Wealth can be taxed by different means. While most countries tax income from wealth (capital income tax), some countries have also taxed wealth stock (wealth tax). Given that capital income tax is already used as a means to tax wealth in many countries, what would be the gain in using wealth tax instead or on top of capital income tax? This is one of the main questions that this proposal addresses. Despite the fact that many papers have studied whether it is desirable to tax wealth, the previous literature has been silent about whether capital income or wealth stock should be taxed. This was because most of the previous papers have made the strong assumption that everyone in the economy earns the same rate of return on wealth. Under this assumption, it turns out that capital income and wealth taxes are equivalent. Thus, the previous literature could not provide any rationale for or against using wealth tax instead or on top of capital income tax.

The broad objective of this project is to study quantitatively the optimal structure of taxes on wealth and its implications for wealth inequality, economic efficiency, and overall economic welfare by constructing a framework that includes rate of return heterogeneity and other features emphasized to be important in determination of wealth inequality.

Wealth taxation is a subject of current debate not only in academia but also in policy circles. This project contributes to this debate by providing a rigorous analysis that enhances understanding of determinants of wealth inequality and the structure of optimal taxes, and providing guidance for government policy.
Locomotor issues in parkinsonian's mesencephalic locomotor region and subthalamic nucleus

Parkinson disease (PD) is the most common movement disorder. Dysfunction of basal ganglia circuits in PD leads to characteristic motor deficits including bradykinesia, with hypometria and reduced EMG activity, tremor, and frequently gait disorders with start hesitation or freezing of gait (FOG) associated with increased falling. On the one hand, there is a large literature on the postural adjustments during gait initiation and the biomechanics of ongoing gait in healthy and patient populations. On the other hand, neuronal recording in the pallidum, subthalamic nucleus (STN), substantia nigra pars reticulata (SNpr) and mesencephalic locomotor region (MLR) demonstrate activity related to movement and locomotion in rats, cats, primates and humans. DBS, particularly STN- and MLR-DBS, can effectively alleviate postural and locomotor deficits in PD, although the neural mechanisms and the precise role of each structure in locomotion is still matter of debate. The aim of this study is to characterize the association between STN and MLR neuronal activity and the biomechanical parameters of locomotion and gait initiation. I will characterize these associations in PD patients using neuro-muscular, neuro-kinematic and neuro-neuronal (STN-STN, MLR-MLR) coherence in different locomotor paradigms under different treatment conditions. This study will make an important contribution to a poorly studied but important aspect of motor control in PD. From a knowledge transfer point of view, it will provide important information to clinicians and researchers using DBS to ameliorate postural difficulties and FOG. From an interdisciplinary point of view, it will help neurologists to refine diagnosis as well as foster the core of knowledge and help targeting new avenues of treatment to rehabilitation professionals involved in the non-invasive treatments of PD.
Societal attitudes to urban novel ecosystems

Novel ecosystems are unmanaged wild areas that are anthropogenic in composition and can never be restored to their original ecological status. Though relatively new, novel ecosystem theory challenges our fundamental relationships with ‘new’ nature and what this means for the future of biodiversity conservation and societal progress. This has resulted in much polarised debate among the ecology community where novel ecosystem theory is highly contested, but there has been no engagement with human communities on the implications of novel ecosystems. The aim of NovelEco is explore novel ecosystem theory as a bridging concept and a conduit for rewilding urban society. NovelEco will be a shift in theoretical exploration and will redefine ‘new’ nature, and how it may be perceived and valued. Urban novel ecosystems have been chosen because they are the most likely spaces where many citizens will encounter what appears to be ‘wild’ nature, particularly people and communities with little financial resources to visit wild nature in a remote setting. Indeed, we know little of the implications of novel wild nature in urban communities. NovelEco is a citizen science project that will measure for the first time the societal attitudes to urban wild spaces by asking citizens to study them. It will first of all engage citizens in co-creating an online instrument to enable ecological data collection within urban novel ecosystems. During data collection the citizen scientists will also record their attitudes to novel ecosystems and reveal whether engagement with them alters their values and perhaps even their environmental behaviour. Comparing these data with the wider community this project will be the first to quantify the social and ecological values of novel ecosystems. NovelEco will refine and redefine the novel ecosystem concept and create a new awareness of the transformative potential of urban wild spaces.
SYSTEMS AND METHODS FOR DYNAMIC ADIUSTABLE SPATIAL GRANULARITY FOR EEG DISPLAY

A method for organizing and displaying EEG data obtained from C EEG channels on a computer system in a user- friendly manner includes placing the C EEG channels into a schematic placement diagram dividing the C EEG channels, using a processor, into G channel groups for each of the G channel groups, combining any of the C EEG channels in such G channel group, using a processor, into a single trace, and for each of the G channel groups, displaying the single trace. A system for organizing and displaying EEG data is also provided.
Sustainable Tourism for Attractivity of Riverside Cities

Many European territories have developed strong relations with a river, that both take an economic and social role in their history. In the heart of European cities or in suburban areas, riversides offer exceptional natural, cultural and industrial heritage, both tangible and intangible. As these destinations are regional capitals or near a capital, they combine a tourism offer specific to urban areas (architectural visits, cultural activities) with a more natural one with sports and leisure, in particular related to water as well as wellness. This natural environment has historically been protected or is today the purpose of new environmental policies. That is why riverside development is a real opportunity for European cities to create innovative solutions for sustainable tourism development.

Unfortunately, riversides are rarely identified as touristic spots and not sufficiently addressed by tourism policies. They globally suffer from a lack of consideration from Metropolitan authorities and tourism boards, but also from a lack of professional skills and tools for tourism actors. However, those spaces are at the crossroad of tourism challenges faced by European capitals such as the high concentration of tourism in city centres, the Cities “Museumification” phenomenon, the increased attention to sustainable development and the new trends of tourism practices (authenticity, slow tourism, etc). European cooperation could help managing authorities in charge of Structural Funds, tourism strategies or urban development policies to better understand what needs to be changed and identify solutions by exchanging good practices. The STAR Cities project will involve the entire tourism ecosystem existing along rivers and, in this regard, is relevant to the Interreg Europe programme’s specific objective dealing with protecting, promoting and developing natural heritage, biodiversity and ecosystems.
Resin production in natural Aleppo pine stands in northern Evia, Greece

Abstract. We investigated the variability in resin yield of Aleppo pines in Evia (Greece) with the aim to exploit this natural resource in a sustainable way. Ten experimental plots were established in natural pine stands for monitoring. Our results revealed significant differences among stands, with high variation among individual trees in each plot. Maximum resin production was achieved in the Livadakia site whereas the minimum was obtained in Kokinomilia. All trees were classified according to their resin production into five classes ranging from not economically profitable (I) to highly profitable (V). From a total of 2483 trees, 1043 (42%) were in class I whereas the remaining 58% was classified into economically acceptable classes (II–V). A weak correlation (R2 = 0.315) between resin production and tree size was found suggesting that taller trees produced more resin than smaller trees.