SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Symbiotic cooperation and boring activity of cliona sponges under a climate change context

Future climate change scenarios predict an increase of 1.8-4ºC in sea surface temperature and a projected two-fold increase in atmospheric CO2 concentration by 2100, causing ocean acidification. These conditions may particularly affect coral reef ecosystems where coral-Symbiodinium symbiosis will be destabilized and the solubility of CaCO3 will increase, modifying the marine habitat and altering the biocoenosis. Apart from corals, sponges are also highly abundant in reef ecosystems worldwide and possess a wide range of functional roles essential for the proper functioning of the system. Predictions of global warming can also affect sponge populations. Boring sponges form close associations with dinoflagellates and can host quite diverse bacterial symbionts. These sponges provide the opportunity to define the interactions between symbionts, and between symbiont communities and their host under a climate change context. 
   We will evaluate different types of microbial diversity (eukaryotic and prokaryotic) in a single host species. We will then manipulate bacterial and dinoflagellate symbioses to tease apart symbiont contributions to the host phenotype and to test for the sensitivity to thermal and pH stress in the context of sponge behavior (i.e., feeding, growth, and boring activity). Finally, we will link sponge microbiomes from different biogeographic regions at an intra- and interspecific level. To achieve our goals, we will use a novel approach in the field of sponge symbiosis applying the newest technologies of sequencing and cell culturing.
Ethical technology adoption in public administration services

Disruptive Technologies (DTs) have a great yet untapped potential to boost the developing of new and more efficient Public Services. Reasons entail resource shortage in terms of competences and infrastructures, but also resistance to and lack of trust in technology. Although a recent uptake of the topic of ethical, social and legal issues related to DTs, practical guidelines to fully assess the risks of adopting DTs in Public Administrations are still missing. The ETAPAS project aims at introducing a practical framework, supported by a prototypical software platform, to offer a first-time assessment methodology capable of measuring and mitigating ethical, societal and legal risks. The project will co-design with Public Bodies a framework consisting of ethical principles, a set of measurable indicators and a legal construct for the responsible adoption of DTs. The framework will be tested and validated on four use cases in which DTs are applied to face the challenges of the Italian Ministry of Finance, Don Gnocchi Foundation, and local municipalities in Norway and Greece. Use cases’ development, as well as exploitation and dissemination activities, will be strengthened by the engagement of two Digital Innovation Hubs and their network. This will ensure ETAPAS framework wide applicability to the European Public Sector and will prove in practice how DTs can support the realisation of responsible innovative solutions of Public Services. Lessons learnt and PAs’ feedback will feed into ETAPAS final output: a governance model to allow other public organisations to replicate the methodology and adopt innovative solutions while assessing, monitoring and mitigating associated risks. ETAPAS project aims at accelerating a responsible adoption of disruptive technologies in the delivery of Public Service so that Public Administrations can reduce management costs, improve service efficiency, securely manage data assets, and foster greater citizen trust and engagement.
Fully adaptive simulation tool for kinetic theory

Kinetic models are omnipresent in a wide range of scientific and engineering applications. They are derived from the evolution of a particle distribution in position-velocity phase space, and appear, for instance, in the modeling of fusion energy reactors and atmospheric reentry of spacecraft, where classical fluid equations are inaccurate. Further technological progress of these applications requires significant advances in modeling and simulation of kinetic models. The underlying kinetic equations pose severe simulation challenges, due to their inherent high-dimensionality and the presence of a wide range of time scales.
The increased dimensionality in velocity directions can be addressed by an extended set of fluid quantities via moment models or the maximum entropy method. To deal with the stiffness of the equations, asymptotic-preserving time discretization methods need to be used. Since both the stiffness and the accuracy of a kinetic model depend on space and time, the design of numerical methods incorporating fully integrated space-time adaptivity is crucial to allow these methods to be efficiently used in real-world applications.

In this action, the applicant will integrate his expertise on moment models with the experience on projective integration schemes available at the host institution, and extend their applicability towards a wide range of kinetic models hereby achieving the following objectives:
- Develop fully space-time adaptive numerical scheme for kinetic models
- Implement software for space-time adaptive solution of kinetic models
- Compute numerical solutions for real-world applications

The results of FASTKiT will constitute a major step forward in the adaptive simulation of kinetic models. FASTKiT will contribute to the development of technologies for next generation reactors and space exploration efforts, in line with Horizon 2020, while the applicant will benefit from an innovative environment to receive training and transferable skills.
Volthinsens. challenging societal needs involving ions detection: new strategies for the development of voltammetry ion sensors based on thin membranes

Modern society is evolving to a scenario in which all daily activities will be monitored using smart sensors. The provision of rapid, reliable and decentralized data is crucial and chemical sensors are current candidates for this purpose. VolThinSens puts forward an innovative sensing strategy from the ground up for reliable detection of ions addressing problems that constitute the bottleneck for the final application of electrochemical sensors in real contexts. To achieve this, the research methodology of VolThinSens involves the exploration of thin ion-sensing membranes based on new materials by using voltammetry and innovative techniques that the project will put forward for the study of the membrane robustness. The developed sensors will be interrogated using coulometry towards a calibration-free technology based on counting charges of the ion analyte that are implied in the electrochemical process. VolThinSens will provide a solution for these two challenges offering robust ion sensors with a wide application perspective within EU priorities such as “citizens’ welfare” and “protecting nature”, among others. The final demonstration of the concept is conceived as the integration of the developed voltammetric sensors for the detection of two ions with pharmacological/clinical and environmental relevance as proof-of-concept: lithium and ammonium. Thus, lithium will be detected in urine, serum and dissolution testing of pharmaceuticals and ammonium in aquatic systems. Interestingly, in situ sensing is aimed through the implementation of the ammonium sensor into a custom-built profiler ion analyser and its deployment in a lake for levels mapping in depth and time axis. VolThinSens will enhance EU excellence and competitiveness in pharmacological/clinical control as well as water issues through the provision of trustable relevant data.
Accuracy of initial clinical diagnosis of acute bacterial meningitis in children from a malaria-endemic area of Papua New Guinea

The diagnosis of acute bacterial meningitis (ABM) is challenging in resource-limited settings where cerebral malaria and viral encephalitis are also common.To assess the accuracy of an initial clinical diagnosis of ABM in a malaria-endemic area of Papua New Guinea (PNG), a retrospective chart review of hospitalized children aged 2 months to 10 years was conducted.Of the 481 eligible children, 240 had an initial clinical diagnosis of ABM that was confirmed independently by trained research staff under standardized conditions, with laboratory support in only 84 (17.5%; 84/481). When compared with the final laboratory-confirmed diagnosis, an initial diagnosis of ABM had a sensitivity, specificity, positive predictive value and negative predictive value of 76% (95% CI 66-85%), 56% (95% CI 51-61%), 27% (95% CI 21-33) and 92% (95% CI 87-95%), respectively. There was discordance between initial and final diagnosis of ABM in 196 children; 176 initially considered to have ABM had an alternative diagnosis, while 20 without an initial diagnosis of ABM were confirmed to have ABM.These data show that initial misdiagnosis of ABM is common in a malaria-endemic area of PNG. A diagnostic algorithm using standardized assessment for meningeal irritation, coma and malaria parasitological testing needs further evaluation in this setting.
Optimal placement of phasor measurement units against PMU outage and Line outage Using advanced particle swarm optimization techniques

In this paper, a model for the optimal placement of contingency-constrained phasor measurement units (PMUs) in electric power networks is presented. The study of placement of PMU's for different contingency conditions in power networks including measurement losses and line outages are studied. The communication constraints which would limit the maximum number of measurements associated with each installed PMU is considered as measurement limitations. The IEEE standard test systems are examined for the applicability of proposed model. The comparison of presented results with those of other methods is presented which would justify the effectiveness of proposed model with regards to minimizing the total number of PMUs and the execution time. The proposed method uses Advanced Particle Swarm Optimization technique for optimal placement of PMU's. The simulation results are reported for two systems (IEEE-14 bus & IEEE-39 bus systems)
Science and innovation in malaria diagnostics

Five species of Plasmodium naturally infect humans. Some species cause non-specific symptoms that can sometimes progress rapidly to severe and fatal outcomes. Early diagnosis and appropriate treatment interrupts progression and cures disease. Confirmation of diagnosis of malaria currently relies on microscopy, or on application of rapid diagnostic tests (RDTs) that are becoming increasingly widely available and are recommended to confirm infection before treating it. The diagnosis of malaria by itself is not sufficient to optimise individual therapies because there is a growing problem of multidrug resistance in parasites (particularly Plasmodium falciparum). This limits the use of some drugs or combinations by severely compromising their efficacy. Diagnostic strategies for management of malaria can therefore be improved in several ways. First by an increase in sensitivity of detection of parasites that should improve of the thresholds for detection by the current generation of RDTs because they cannot identify low parasitaemias. Second, a diagnostic that can differentiate all the naturally infecting species of parasite needs to be developed. Finally, rapid (point-of-care) assessment of the drug resistance status of parasites will add greatly to the treatment strategies available to manage individual patients. Technological platforms that can deliver information that is currently missing for the personalised management of malaria infections are being developed and these advances will be presented and discussed in the context of the global burden of disease caused by malaria.
An analytical mathematical modeling to extract the parameters of solar cell from implicit equation to explicit form

It was developed a new mathematical model to simplify the nonlinearity and complexity of mathematical equation of solar cell. Due of the complex characteristics the researcher used the iterative calculations to determine the maximum power point, fill factor, ideality factor, and parasitic series and shunt resistances of solar cell. We proposed a mathematical study based on derivation of basically nonlinear model of solar cell and normalized the current density and voltage to simplify the equation model. The new proposed model is applicable to a large variety of solar cells. Due to its mathematical simplicity the model will be suitable and easy for analytical modeling of complex current–voltage equation of solar cell on two and three dimensionals. The new analytical model equation have been tested and compared with the experimental results to add validity to the model.
CLEARING APPARATUS AND CARRIAGE FOR A CLEARING DEVICE

A clearing apparatus (10) which includes a clearing device (12) for use in clearing operations, and a carriage (14) for supporting a clearing device (12) during use. The clearing device is a clearing device of any conventional type and includes an elongated support member (16), a power unit (20) at one end of the support member and a clearing head (18) at the other end of the support member. the carriage comprises a frame structure having a lower end portion and having an upper end portion to extend upwardly from the lower end portion during use of the apparatus, a single support wheel (30) having a wheel axis (32) about which the support wheel (30) is rotatably mounted to the lower end portion of the frame strut (24) to support the frame strut (24) on a support surface (34) during use, a pivot mount intermediate the lower and upper end portions of the frame strut (24) mounting the support member of the clearing device to the frame strut (24) to allow the clearing head (18) to be displaced laterally relative to the wheel plane, and a guide handle (38) extending from the upper end portion of the frame strut for use in guiding the support wheel during use.
Nonmesonic weak decay of charmed hypernuclei

We present a study of the nonmesonic weak decay (NMWD) of charmed hypernuclei using a relativistic formalism. We work within the framework of the independent particle shell model and employ a ($\pi$,$K$) one-meson-exchange model for the decay dynamics. We implement a fully relativistic treatment of nuclear recoil. Numerical results are obtained for the one-neutron-induced transition NMWD rates of the $_{\Lambda^{+}_{c}}^{12}$N. The effect of nuclear recoil is sizable and goes in the direction to decrease the nuclear decay rate. We found that the NMWD decay rate of $_{\Lambda^{+}_{c}}^{12}$N is of the same order of magnitude as the partial decay rate for the corresponding mesonic decay $\Lambda^+_c \rightarrow \Lambda + \pi^+$, suggesting the feasibility of experimental detection of such heavy-flavor nuclear processes.
Linking generativity and disruptive innovation to conceptualize ICTs

Purpose – This paper focuses on two prominent theoretically grounded approaches to this subject matter, namely disruptive innovations and generativity of the internet. This paper seeks to explicitly link these conceptual approaches in order to contribute to the epistemology on the development of ICTs.Design/methodology/approach – This paper is structured in three primary and functional sections. The first section provides a theoretically grounded literature review on the research on the generativity of the internet and on disruptive innovation as well as the research base and links and forwards these two lines of discourse. The second section describes how the conceptual foundations and assumptions of Zittrain's generativity of the internet and Christensen's disruptive innovation share common precepts and conceptual assumptions. The third section suggests that the discourse for each of the two approaches could be furthered by more deliberately and concretely drawing on the value of complementarities.Findi...
COVID-19 pandemic over 2020 (with lockdowns) and 2021 (with vaccinations): similar effects for seasonality and environmental factors

How is the dynamics of Coronavirus Disease 2019 (COVID-19) in 2020 with an health policy of full lockdowns and in 2021 with a vast campaign of vaccinations? The present study confronts this question here by developing a comparative analysis of the effects of COVID-19 pandemic between April-September 2020 (based upon strong control measures) and April-September 2021 (focused on health policy of vaccinations) in Italy, which was one of the first European countries to experience in 2020 high numbers of COVID-19 related infected individuals and deaths and in 2021 Italy has a high share of people fully vaccinated against COVID-19 (>89% of population aged over 12 years in January 2022). Results suggest that over the period under study, the arithmetic mean of confirmed cases, hospitalizations of people and admissions to Intensive Care Units (ICUs) in 2020 and 2021 is significantly equal (p-value<0.01), except fatality rate. Results suggest in December 2021 lower hospitalizations, admissions to ICUs, and fatality rate of COVID-19 than December 2020, though confirmed cases and mortality rates are in 2021 higher than 2020, and likely converging trends in the first quarter of 2022. These findings reveal that COVID-19 pandemic is driven by seasonality and environmental factors that reduce the negative effects in summer period, regardless control measures and/or vaccination campaigns. These findings here can be of benefit to design health policy responses of crisis management considering the growth of COVID-19 pandemic in winter months having reduced temperatures and low solar radiations ( COVID-19 has a behaviour of influenza-like illness). Hence, findings here suggest that strategies of prevention and control of infectious diseases similar to COVID-19 should be set up in summer months and fully implemented during low-solar-irradiation periods (autumn and winter period).
HTML5 and JavaScript Projects

HTML5and JavaScript Projectsshows you how to build on your basic knowledge of HTML5 and JavaScript to create substantial HTML5 applications. Through the many interesting projects you can build in this book, you'll build your HTML5 skills for your future projects, and extend the core skills you may have learned with its companion book, The Essential Guide to HTML5. HTML5 and JavaScript Projects covers the most important areas of HTML5 that you'll want to know how to program, including:video, and audio, databases, localStorage, and geolocation. The projects have been carefully selected to help you build your HTML5 and JavaScript programming skills. You'll build games and applications, such as video jigsaws, recipe archives, paper dolls, and many more captivating examples. Each project starts out with an introduction to the basic HTML5 and JavaScript concepts covered and then includes specific, appealing examples explained step-by-step. You'll also discover line-by-line explanationsfor every single line of codewe'll make sure that you can fully understand what each line of code does, so that you can easily take that understanding and apply it to your own HTML5 projects. HTML5 and JavaScript Projects: Shows how to produce applications combining Canvas drawings, photos, and videos Explains how to incorporate Google Maps and geolocation into your projects Reveals how to build applications requiring persistent data, storing the information locally or on a database on the server What youll learn How to create line drawings using mathematical operations for defining coordinate positions How to incorporate Google Maps and geolocation to determine the location of the user How to use locations as triggers for playing videos using JavaScript How to combine the canvas with geolocation maps using HTML5 and JavaScript Use HTML5 Audio for event sounds and background music How to manipulate, store and retrieve complex information using localStorage How to build applications involving JavaScript and the HTML5 APIs Who this book is for HTML5 and JavaScriptProjects is for the developer who wants and needs to move to the next level of Web development, including more sophisticated programming and the design and construction of sets of applications. This book targets people who want to go beyond the basics ofHTML5 and, for example, incorporate maps using the Google Maps API into their work or build projects that require persistent data on the client computer (localStorage). The book will be helpful for people working in teams, where considerable effort is required to create, access and manage information.
Enabling cloud orchestration, performance and cost efficiency tools for qoe enhancement and provider ranking

Cloud environments are notorious for their lack of stability in performance characteristics, a feature that makes it extremely difficult for owners of time-critical applications to make the decisive step for migration and owners of SaaS to be unable to present performance vs cost tradeoffs to their customers when acting as IaaS customers. CLOUDPERFECT aims at delivering a set of tools and processes that will enable a) Cloud providers to enhance the stability and performance effectiveness of their infrastructures, through modelling/understanding of the overheads, optimal groupings of concurrently running services, runtime analysis and adaptation, thus gaining a competitive advantage  b) Cloud adopters to understand the computational nature of their applications, investigate abstracted and understandable QoS metrics for providers ranking, minimize the time of procurement and provider selection processes, automate deployment and orchestration processes, balance their selection between cost and performance to optimize their competitiveness, define according SLA levels (if on the SaaS level) and monitor the maintenance of their SLA  c) 3rd parties to act as independent validators of Cloud QoS features, through a constant monitoring, benchmarking and evaluation process, filling a gap in the current brokerage/consultancy domain for performance evaluation and SLA auditing.  The innovation action starts from mature existing prototypes derived from previous EC funded projects and aims at extending their TRL levels in order to support a spin-off entity to be created for the role of QoE Assessment Broker and Toolkit Consultant. The project will cover extensive experimentation with relation to the applicability of the envisioned toolkits in 4 facilities, while focusing on two heavy-weight industrial cases such as CFD and ERP/CRM, for which the overall value chain has been represented in the consortium, targeting domains such as manufacturing and telecom.
INTEGRATED PROCESSES FOR THE TREATMENT OF MANGO WASTES OF FRUIT PROCESSING AND THE PREPARATION OF COMPOSITIONS DERIVED THEREOF

This invention pertains to simple and integrated processes which are appropriate and economically attractive methods for the instantaneous and efficient treatment of mango (Mangifera indica L. Anacardiaceae) peels and seeds from fruit-processing, characterized in that the said processes, lead to the preparation of a plurality of compositions, which have shelf lives of at least six months and are commercially ready to use. Said processes also result in the most efficient treatment of the mango peels and seeds, which are oftentimes regarded as worthless, troublesome and potentially hazardous wastes. The said processes also allow the efficient utilization of energy and process equipment in the said process.
Self-Knowledge and Teaching in Confucius and Plato

I am grateful to Rosa Hong Chen for bringing to our attention the powerful philosophical insights and possibilities that Confucius’s Analects have for philosophy of education as it is conducted in North America and for inviting us to compare his insights with those of perhaps the most influential figure in Western philosophy, Socrates. I am also grateful for the opportunity that Chen has provided for me to think systematically and comparatively about the way that these two seminal figures can and do inform our understanding of the nature and importance of self-knowledge and the role of the teacher in attaining it.