SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Novel tools for food safety management based on qmra with a robust modelling of unnovel tools for food safety management applying qmra with robust modelling of uncertainty and variability: fantastical

Food safety remains a main concern for consumers, society, health agencies and food industry. Despite the efforts made during the last years, the number of outbreaks and food borne diseases is still high. Recent outbreaks within the European Union (e.g. L. monocytogenes in frozen vegetables) show that efforts are needed to coordinate scientific advances into decision making in order to implement new measures to increase consumer protection. 
Quantitative Microbial Risk Analysis (QMRA) can be applied to support food safety management. QMRA is based on a mathematical description of the microbial response during the farm-to-fork chain of the product. Its application requires an accurate characterization of uncertainty and variability, inherent to any biological process. Because of these, QMRA must follow a probabilistic approach, considering the variance of the response variables. Consequently, decisions must be made with an acceptable level of risk given the knowledge gaps. A deeper knowledge of both uncertainty and variability is a top priority in the EU, since it would allow a better application of QMRA, leading to a better safety standards for policy makers and industry.  
FANTASTICAL aims to develop novel approaches and tools for QMRA that can be implemented by all the stakeholders, i.e. agencies related to consumer protection (EFSA, ECDC) and industry. It will link a database of microbial responses with robust statistical functions for variance analysis and stochastic simulation in a user friendly software. This project will reach out to the potential users and provide them with hands-on, open access tools to better understand microbial variability and uncertainty, resulting in more realistic QMRA. Thus, it will lead to an improvement in consumer protection and safer products. It will also complement Dr Garre’s curriculum and provide him with soft skills required to take the next step of his scientific career towards becoming an R3 – Experienced Researcher.
First record of Blue-Crowned Parrot Aratinga a. acuticaudata (Aves: Psittacidae) as primary native host of Ornithocoris toledoi Pinto (Cimicidae: Hemiptera: Heteroptera)

First record of Blue-Crowned Parrot Aratinga a. acuticaudata (Aves: Psittacidae) as primary native host of Ornithocoris toledoi Pinto (Cimicidae: Hemiptera: Heteroptera). The primary natural host of cimicid bug Ornithocoris toledoi Pinto (Hemiptera: Heteroptera: Cimicidae) is presented as Blue- Crowned Parrot Aratinga a. acuticaudata (Aves: Psittacidae). Its presence in the Chaco province is also a new distributional record of this bug in Argentina. A brief discussion about the taxonomy is also given and some population parameters are compared with those of other bug species. Finally, we discuss possible infestation ways in the current state of knowledge, including other birds (Furnariidae) and bats (Chiroptera).
Efficacy and Safety of the RBD-Dimer–Based Covid-19 Vaccine ZF2001 in Adults

The ZF2001 vaccine, which contains a dimeric form of the receptor-binding domain of severe acute respiratory syndrome coronavirus 2 and aluminum hydroxide as an adjuvant, was shown to be safe, with an acceptable side-effect profile, and immunogenic in adults in phase 1 and 2 clinical trials.We conducted a randomized, double-blind, placebo-controlled, phase 3 trial to investigate the efficacy and confirm the safety of ZF2001. The trial was performed at 31 clinical centers across Uzbekistan, Indonesia, Pakistan, and Ecuador; an additional center in China was included in the safety analysis only. Adult participants (≥18 years of age) were randomly assigned in a 1:1 ratio to receive a total of three 25-μg doses (30 days apart) of ZF2001 or placebo. The primary end point was the occurrence of symptomatic coronavirus disease 2019 (Covid-19), as confirmed on polymerase-chain-reaction assay, at least 7 days after receipt of the third dose. A key secondary efficacy end point was the occurrence of severe-to-critical Covid-19 (including Covid-19-related death) at least 7 days after receipt of the third dose.Between December 12, 2020, and December 15, 2021, a total of 28,873 participants received at least one dose of ZF2001 or placebo and were included in the safety analysis; 25,193 participants who had completed the three-dose regimen, for whom there were approximately 6 months of follow-up data, were included in the updated primary efficacy analysis that was conducted at the second data cutoff date of December 15, 2021. In the updated analysis, primary end-point cases were reported in 158 of 12,625 participants in the ZF2001 group and in 580 of 12,568 participants in the placebo group, for a vaccine efficacy of 75.7% (95% confidence interval [CI], 71.0 to 79.8). Severe-to-critical Covid-19 occurred in 6 participants in the ZF2001 group and in 43 in the placebo group, for a vaccine efficacy of 87.6% (95% CI, 70.6 to 95.7); Covid-19-related death occurred in 2 and 12 participants, respectively, for a vaccine efficacy of 86.5% (95% CI, 38.9 to 98.5). The incidence of adverse events and serious adverse events was balanced in the two groups, and there were no vaccine-related deaths. Most adverse reactions (98.5%) were of grade 1 or 2.In a large cohort of adults, the ZF2001 vaccine was shown to be safe and effective against symptomatic and severe-to-critical Covid-19 for at least 6 months after full vaccination. (Funded by the National Science and Technology Major Project and others; ClinicalTrials.gov number, NCT04646590.).
Gox AGXX filtro

L'obiettivo è quello di sviluppare un filtro di profondità GOX-AGXX-Filte rsystem con il quale i germi patogeni umani possono essere filtrati dall'acqua e da Lu ft.
Internet of Things Based Indoor Air Quality Improving System

Efficient and cost effective technology based solutions helps to achieve prosperity of people on the planet. Good health of the people depend on good air quality. In this paper we propose, Internet of things (IOT) based system to purify air quality using indoor plants. Air purification ability of Sansevieria trifasciata and Chlorophytum comosum plant is analyzed in closed environment. These plants are re-silent and requires very less maintenance. Use of these indoor plants in a office, home purifies air quality. The proposed Internet of Things based study, suggests an inexpensive and green way of having healthier lifestyle. Experimental results of this study concludes that, Sansevieria trifasciata and Chlorophytum comosum plants are effective and very low cost solution to purify indoor air quality.
Hyperloop System Implementation using Magnetic Levitation Principle

The conceptualization about Hyperloop was brought in the 20th century, which completely transfers the archetype of transport. The hyperloop system will have a design of a vacuum tube through which capsule will travel with significantly less resistance by air or friction which will pass on the capsule or pod at a very high speed. It will be propelled at a speed which will be over and above the speed of airlines. It will race at the speed of 760mph which is 1200km per hr. The positioning of the commuter would be done inside this capsule. Hyperloop tubes will be low pressured. Linear induction motor placed through the tube would hasten and slow down the speed of the capsule. The notion of Hyperloop was first initiated in 2013, which proposed and routes were examined from Los Angeles to the San Francisco Bay region. Hyperloop is considered to be resourceful transport.
Time Performance Formal Evaluation of Complex Systems

Formal verification methods, such as Model Checking, have been used for addressing performance/dependability analysis of systems. Such formal methods have several advantages over traditional techniques aiming at performance/dependability analysis such as the use of a single computational technique for evaluation of any measure and all complex numerical computation steps are hidden to the user. This paper reports on the use of Probabilistic Model Checking for time performance evaluation of complex systems. We propose an approach, TPerP, that allows a professional to clearly address time performance analysis based on Continuous-Time Markov Chain (CTMC). Our approach takes into consideration several types of delay analyzes. We applied it to a balloon-borne high energy astrophysics scientific experiment where we dealt with CTMCs that had around 30 million reachable states and 75 million transitions, and we concluded that the current definition used in the balloon system is inadequate in terms of performance.
Automata Learning through Counterexample Guided Abstraction Refinement

AbstractAbstraction is the key when learning behavioral models of realistic systems. Hence, in most practical applications where automata learning is used to construct models of software components, researchers manually define abstractions which, depending on the history, map a large set of concrete events to a small set of abstract events that can be handled by automata learning tools. In this article, we show how such abstractions can be constructed fully automatically for a restricted class of extended finite state machines in which one can test for equality of data parameters, but no operations on data are allowed. Our approach uses counterexample-guided abstraction refinement: whenever the current abstraction is too coarse and induces nondeterministic behavior, the abstraction is refined automatically. Using Tomte, a prototype tool implementing our algorithm, we have succeeded to learn – fully automatically – models of several realistic software components, including the biometric passport and the SIP protocol.KeywordsSession Initiation ProtocolInput SymbolAutomaton LearnOutput SymbolEquivalence QueryThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
A Research Agenda For Evaluating Open Government Initiatives

The advent of social media opens up unexpected new opportunities of engaging the public in government work. While research on Open Government has produced conceptually interesting models that describe how the initiative will or should evolve based on anecdotal evidence from best practice cases, our systematic analysis reveals that previous work on Open Government evaluation has a strong bias in favour of implementing Open Government, while the negative consequences or limitations are not fully incorporated. Seeing this as a major limitation, we highlight why future research should produce more rigorous and relevant knowledge for overcoming practitioners’ concerns of implementation. Moreover, we present the first study examining the consequences of implementing an Open Government initiative at a German university. The results suggest that Open Government initiatives may very well backfire on governments. Thus, as a research community, we should not simply propose new artefacts or solutions how to open up government but should be very explicit about the consequences for the authorizing environment (in particular minorities), government organizations, politicians and the political system as a whole. By the end, the paper presents a research agenda for future research on the evaluation of Open Government initiatives.
Introducción de tecnologías IK para mejorar la competitividad de los laboratorios

La inversión prevista de Bioinstitut d.o.o. en el sistema de información para la gestión de procesos al servicio de las actividades de laboratorio (LIMS) es una solución de aplicación integral e integrada para trabajar en los Servicios de Laboratorio.En sinergia con las inversiones en curso y con esta propuesta de inversión en LIMS, Bioinstitut d.o.o. se convierte en un laboratorio totalmente moderno que busca estándares europeos capaces de satisfacer diferentes requerimientos del mercado con sus servicios. De esta manera se eliminan los cuellos de botella existentes y tiene un impacto positivo en la competitividad y la sostenibilidad a largo plazo. El proyecto también afectará al aumento de los ingresos y el empleo de la empresa.
Modelling the influence of cardiac motion on electrical excitation and the magnetocardiogram

Simulations of cardiac excitation were performed for cross sections of the human heart. To create computer models, magnetic resonance images (MRI) and magnetocardiograms (MCG) were acquired for a healthy human. The effect of geometry on properties of the magnetic field was investigated by running static simulations for two extreme cases - the relaxed state (diastole) and the contracted state (systole). The shape of the QRS complex and the T-wave substantially changes showing a weak QRS complex and elevated T-waves for the systolic geometry. In a second step we incorporated the dynamical aspect by implementing an interpolation algorithm to emulate cardiac contraction. The resulting simulated biosignals resembled the MCG showing a pronounced QRS complex as well as a T-wave of approx. the right amplitude. Hence, modelling cardiac excitation should also account for detailed geometry changes in order to quantiatively reproduce the shape of measured biosignals.
Frequency of cardiac involvement among patients with Ankylosing Spondylitis

Background and aims: Ankylosing spondylitis (AS) is an idiopathic chronic inflammatory disease mainly involves sacroiliac and axial joints; but it may also have extra-articular involvement. Accordingly, this study was designed to determine the frequency of cardiac involvement among patients with ankylosing spondylitis. Methods: This study was performed as a descriptive-analytical cross-sectional survey. In this study 50 consecutive patients with AS and 40 normal healthy subjects were enrolled and compared for cardiologic manifestations. Results: The frequency of cardiac involvement was similar between AS patients and normal subjects (P>0.05). However, there was significant difference between 2 groups in point of mitral valve prolapse and mitral regurgitation (P<0.05). Conclusions: Totally, according to the obtained results, it may be concluded that the frequency of cardiac involvement in AS patients and normal subjects were relatively similar.
HERBÁRIO DENDROLÓGICO JEANINE FELFILI, MINAS GERAIS (HDJF)

Resumo : A colecao do Herbario Dendrologico Jeanine Felfili (HDJF) e aqui apresentada, bem como os projetos e contribuicoes do Herbario para a catalogacao da diversidade vegetal da Serra do Espinhaco, em Minas Gerais. O HDJF possui atualmente 3.273 exsicatas tombadas, georreferenciadas e informatizadas, sendo que as familias mais representativas sao: Fabaceae (11,03%), Myrtaceae (8,25%), Asteraceae (7,09%), Melastomataceae (5,90%) e Malpighiaceae (4,49%). Tais colecoes representam esforcos de coletas em diferentes pesquisas de levantamento floristicos fitossociologicos, coletas etnobotânicas e outros trabalhos, especialmente, nos biomas Mata Atlântica e Cerrado. Abstract : The collection of Herbarium Dendrologico Jeanine Felfili (HDJF) is presented here, as well as projects and Herbarium contributions to the knowledge of plant diversity of the Espinhaco in Minas Gerais. The HDJF has about 3,273 herbarium specimens, geo-referenced and computerized, and the most representative families are Fabaceae (11.03%), Myrtaceae (8.25%), Asteraceae (7.09%), Melastomataceae (5.90%) and Malpighiaceae (4.49%). These collections represent efforts in different floristic phytosociological survey research, ethnobotanical collections and other works, particularly in the Savanna and Atlantic Forest biomes. Palavras-chave : exsicatas, colecoes biologicas, Diamantina.
Improving thermal efficiency of horizontal ground heat exchangers

Since heating and cooling demands constitute almost 50% of the final energy demand in Europe, the development of geothermal energy systems and especially shallow geothermal solutions, reveals a huge potential in providing thermal energy for residential and tertiary buildings, thanks also to its local availability, manageability and flexibility. Then, research and innovation actions in this topic are focused on finding new technical solution, developing emerging technologies and improving heat transfer efficiency of existing systems. There is required, on the one hand, a better knowledge of the thermal properties of the ground and, on the other, the efficient implementation of thermal energy transfer technologies.
ITER Project (Improving Thermal Efficiency of horizontal ground heat exchangers) totally agree with these purposes. In fact, the overall aim of ITER is to ensure the sustainability of ground coupled heating-cooling systems and especially the horizontal ground heat exchangers systems. Key challenges are (i) to enhance the heat transfer of the ground surrounding the pipes creating thermally enhanced backfilling material (TEBM) suitable for horizontal systems; (ii) to assess the performance and the environmental impacts of new promising technological solutions as helix systems with and without TEBM; (iii) to monitor the results over time through direct measurements and numerical simulation.
Thermal laboratory measurements and in situ monitoring of existing and duly installed horizontal systems will be provided by close cooperation between host institutions and non-academic partners. Projects and ideas challenging a better performance of shallow geothermal plants as those promoted by ITER are expected to support the European economic growth and technological excellence, boosting competitiveness and job creation, taking into account also the individual and collective well-being of citizens, protecting the environment and, accordingly, the human health.
Development of a HEC-HMS-based watershed modeling system for identification, allocation, and optimization of reservoirs in a river basin

One of the primary objectives of river basin planning and management is to assess the behavior of the river towards man-made and natural changes. In recent times, the self-purifying capacity of the river is found to be substantially affected because of extensive use of water for agricultural and industrial purposes. Any variation in the flow regime of a river poses a severe impact on the aquatic ecosystem, which affects its self-purifying capacity. Diverting river water for industrial and agricultural uses through dams and barrages reduces the natural flow rate of the river. The present study develops a novel approach by coupling Watershed Modeling System (WMS ver. 10.1) with linear optimization to provide an alternate means of water supply for such users. To explain the effectiveness of the model, a case study on the Ganges river basin of India has been considered. The ecosystem of the Ganges provides such a magnificent biological fabric, that its self-purifying capacity exceeds that of any other river water across the globe. However, the industries found in the river's most polluted stretch consume around 1200 million liters of water every day. In addition, 80% of the river water diverts at Narora barrage for agricultural purposes. As a result, the flow of the river in dry seasons is as less as 300 m3/s. The study suggests the need to develop economically feasible and efficient storage reservoirs to store the rainwater, which can be used to supply industrial and agricultural needs. The WMS software is used to acquire the watershed basin, outlet location, simulated runoff volume, proposed reservoir site, and the hydrograph using the monitored rainfall data of 5 years (2010-2014). The simulated runoff volume is then used to develop an optimization model to determine the required capacity of each reservoir using LINGO software (ver. 16.0). Four different storage reservoirs are proposed in the selected industrial sites of Unnao district, Uttar Pradesh, India. These reservoirs can supply the needs of industries, and thus reducing their dependency on the river Ganges. The model developed herein acts as an effective tool for giving a possible solution to large-scale water supply problems in the river basins, and also guides the decision makers towards restoring the stream flow.
Memory research: ground-breaking, applied, and technological exchanges

In M-GATE, ESRs will combine state-of-the art experimental neurophysiology, innovative technologies, and advanced theoretical approaches to unveil memory mechanisms, from single neurons to brain networks, to cognition and behaviour, addressing the healthy and diseased brain. Through research and training from top-class scientists and close interaction with industrial partners, ESRs will develop unique multi-disciplinary skills combining physiology, molecular
biology, computation, micro-engineering, and entrepreneurship
The exploration of the hippocampal formation and its role in memory is one of the great success stories of neuroscience. For no other structure have neuroscientists achieved such an in-depth knowledge of structure and mechanisms, making this field one of the most promising for breakthroughs in understanding human cognition. Our program will include world-leading, Europe- and US-based scientists in academic institutions as well as pharmaceutical, neurotechnological and machine learning companies, with the task of developing new technologies to understand memory and advance our chances to cure brain pathologies.
Early-stage researchers will participate in scientific programs spanning hippocampus research broadly, from local circuital interactions at one brain site, to global networks including multiple brain structures. Dedicated projects will look at brain pathologies as epilepsy and Alzheimer’s from the circuits point of view. A neurotechnology work package spanning multiple projects will include novel methodological developments, bringing together academic and private sector technologists. With the help of targeted secondments and a tailored training program, we provide a unique opportunity for talented
researchers to prepare for a career in either academic research or the private sector.
TRANSPORTERS AND ION CHANNELS

Various embodiments of the invention provide human transporters and ionchannels (TRICH) and polynucleotides which identify and encode TRICH. Embodiments of the invention also provide expression vectors, host cells, antibodies, agonists, and antagonists. Other embodiments provide methods for diagnosing, treating, or preventing disorders associated with aberrant expression of TRICH.
Collectivity, evil and the dynamics of moral value

The paper aims at making explicit and question the dominant conception that morality is a matter of values and valuation. This conception is usually taken as the self-evident frame of analysis, both in ethical theorizing and in everyday life and also in most discussions of ethics in medical contexts (e.g. in debates about 'values-based practice'). We argue that the dominant conception is deeply flawed insofar as it implies a repression of the fundamental importance of I-you relationships. As a consequence of this repression, what are commonly taken to be 'personal' and even 'individualist' moral outlooks are, in fact, merely the reverse side of collective norms and values, just as 'particularism' in ethics is not a real alternative to 'universalism', but rather both are variations on the same repressive theme. In showing this, we also outline the sense in which the moral relationship between an 'I' and a 'you' has an altogether different 'grammar' or sense.