SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Optimization and performance improving in metal industry by digital technologies

The INEVITABLE Innovative Action aims to realize a fully digitalized monitoring technology for an optimized and improved performance of manufacturing processes. Use cases from the energy and resource intensive sectors steel and nonferrous metals are addressed, whereas the considered manufacturing sites are in Slovenia, Austria and Spain covering primary and secondary steelmaking and investment casting of nonferrous metal alloys.
The focus of INEVITABLE is to develop high-level supervisory control systems for different production plants and on the demonstration in operational environment (TRL 7) to enable autonomous operation of the processes based on embedded cognitive reasoning. Key Performance Indicators will be defined related to resource consumption and product qualities. Based on that, a full digital transformation of the plants will be done including acquisition, storage, processing and analytics of data streams, furthermore, communication and automation, and finally, standardization of relevant data interfaces. Predictive models will be developed being combined with smart and networked sensor technologies to correlate process parameters with quality indicators of the manufactured products. The models will be tested in offline mode on the one hand, and in online mode on the other hand by means of comprehensive plant trials at the industrial partner sites. Dissemination activities will transfer the knowledge throughout the SPIRE sectors. The industrial partners are supported by scientific partners with excellent competences in the field of digitalization.
INEVITABLE will improve the capabilities for reliable and real-time control logics of final product properties and process efficiency to increase the flexibility of plant operators. Improved and flexible production performance is expected with a simultaneous reduction of resource consumption and CO2 emissions contributing to a more competitive and sustainable metallurgic industry within the EU.
Plan de negocios para producción y exportación de aceite de maíz orgánico ecuatoriano hacia Madrid - España

The following work exposes the business plan of the elaboration and production of organic corn oil for exportable purposes and to make the sector grow economically since the two countries involved are showing growth, Ecuador with 2% and Spain on the 3 %. Reflecting this improvement in GDP. It should take advantage of the growth proposals as an incentive by the national institute of agricultural research for technology within the food industry which is motivated to the development of new technologies for production in this industry, but in a more environmentally friendly way. Consumers of this product in Spain are identified; however, there are no suppliers of this product which comes into competition with olive oil which the number one oil is purchased in this target market. Through the qualitative and quantitative analysis can determine the acceptance of this product by customers in the Spanish market, likewise the determination of the price and the attribute of the product was most welcomed by the respondents in this case its characteristic of being an organic and healthy product free of transgenic. Finally, before an extensive financial analysis, it can be concluded that the project is profitable based on the financial evaluation projected at 5 years, with a prompt return of the investment as well as the debt, liquidity and production capacity sufficient to cover the demand. Expanding is a clear idea of the business over time, win the client portfolio and take advantage of the growth in the territory with this innovative product that will make the industrialization in the country is driven by more derivatives of Ecuadorian raw material.
Concluding Remarks

Publisher Summary
This chapter presents a data model that provides a framework for analyzing business requirements, provides a data model of some detailed areas that shows how business terms can be incorporated into a data model, and is easily extensible, either by adding entity types or reference data. From this, it can clearly be seen that the model is coherent and cohesive, as well as extensible in a regular way; all desirable properties in a changing world. Working things out properly is actually the fastest way to the right answer, plus it helps to assure that one has the right answer. In data modeling, it is not the time it takes to produce a model that determines the effort it takes, but how many times the model has to be redone before it sets right. The result overall is improved consistency, especially when one has a team of data modelers, and a reduction in errors and rework. All of this leads to high quality data models that meet the information requirements of the business.
Accelerating transport electrification by machine learning

The technological blossom in artificial intelligence (AI) makes possible numerous advancements in various engineering disciplines. The applicant has been in the forefront of this AI innovation, and received seven world prizes in AI competitions. For this fellowship, he intends to use his AI expertise to examine the role that AI technologies can play in accelerating transport electrification, and subsequently contributing to climate action. In view of the strong vehicle industry in Gothenburg, Sweden, Chalmers and Scania AB collectively provide an outstanding research environment for this important topic. More specifically, this project will consolidate data-driven electrochemical battery model, deep reinforcement learning based automated electric vehicle (AEV) speed control and AEV personalized routing recommendation model, which are three biggest challenges in the transition process towards electrified transport systems. The fellowship will be co-supported by AI Innovation of Sweden, and Drive Sweden, with a hope to implement the expected findings in not only the vehicle industry but also transport management sectors. This research is interdisciplinary in nature, and requires expertise from computer science, artificial intelligence, electrochemical engineering, electrical engineering, and transport engineering. In this regard, the host institute, Chalmers University of Technology, has developed a well-designed career training and development plan for the applicant to work with renowned research leaders in relevant disciplines (e.g. Prof. Xiaobo Qu, Member of Academia Europaea; Prof. Karl Johansson, Fellow of Royal Swedish Academy of Engineering Sciences) to enhance his readiness to become an assistant professor after this fellowship. The applicant will also take advantage of the fertile research environment in Chalmers, and synchronize the workshops and reference groups with the host’s other EU and Swedish projects to disseminate the new findings.
C 1 Monotone Scattered Data Interpolation

A local C1 surface construction scheme is presented to preserve the shape of the monotone scattered data arranged over the triangular grid. Each boundary curve of the triangle is constructed by the rational cubic function and this rational function is also used for the side-vertex interpolation. The final surface patch is constructed by taking the convex combination of three side-vertex interpolants. For each triangular patch there are three boundary curves and three side vertex interpolant. Simple sufficient data dependent constraints are derived on the free parameters in the description of rational function to preserve the shape of monotone scattered data. The developed scheme is local, computationally economical and visually pleasing.
Window structure

A window structure comprises a fame and an inwardly opening window leaf of a multi glazing type composed of a wooden casement as well as two glass panes. The outer glass pane consists of safety glass, e.g. tempered or laminated glass and the casement which carries the inner glass pane being in its entirety located on the inside of the outer glass pane and connected thereto, the outer glass pane having, in the closed state of the window leaf, its edge portions located between the casement and inwardly facing shoulder surfaces on the frame.
Glucose Tolerance in Patients with Narcolepsy

Obesity is a common feature of narcolepsy. In addition, an increased occurrence of non-insulin dependent diabetes has been reported. So far, it is not known whether glucose metabolism in narcolepsy is disturbed due to, or independently of obesity.Case-control study.Sleep medicine clinic at a research institute.We studied 17 patients with narcolepsy/cataplexy compared to 17 healthy controls matched for age, sex, and body mass index (BMI).A 75-g oral glucose tolerance test was performed.Glucose tolerance was determined by computing plasma glucose curve following oral glucose challenge for 240 minutes; insulin sensitivity and insulin secretion by homeostasis model assessment and minimal model analysis.Standard outcome measures and indices of the oral glucose tolerance test did not differ between the patient group and the group of control subjects.In this study, no clinically relevant pathologic findings in the glucose metabolism of narcoleptic patients compared to weight matched controls were found. Thus, narcolepsy is unlikely to be a risk factor per se for impaired glucose tolerance or diabetes.
Synthesis of Mesoporous Silica from Tetraethylorthosilicate by Using Sodium Ricinoleic as a Template and 3-Aminopropyltrimethoxysilane as Co-Structure Directing Agent with Volume Variation of Hydrochloric Acid 0.1 M

Synthesis of mesoporous silica from tetraethylorthosilicate (TEOS) by using sodium ricinoleic as a template and 3-aminopropyltrimethoxysilane (APMS) as a co-structure directing agents (CDSA) in a volume variation of acid addition has been carried out. Preparation of mesoporous silica was conducted in HCl 0.1 M at volume variations of 2 ml, 35 ml, 40 ml and 50 ml. In acid conditions, the amine groups of APMS will protonate, which will then interact electrostatically with the carboxylate groups from ricinoleic acid, while the methoxy groups from APMS will condense with the silanol groups from TEOS to form an end product of mesoporous silica. The reaction products were characterized by using X-ray diffractometer (XRD), Fourier transform infra-red spectrometer (FTIR), surface area analyzer (BET), scanning electron microscope (SEM), and transmission electron microscope (TEM). X-ray diffractograms of the products from all of the acid volume variation additions show broadening peaks indicating amorphous materials as a characteristic of mesoporous materials. Infrared spectra show that all of the products have Si-OH and Si-O-Si groups that are characteristics for mesoporous silica. Imaging results from SEM and TEM show morphology and particle size differences in accordance with the differences in volume variation of acid addition. Adsorption/desorption isotherm by using nitrogen at 77 K of the products from the addition of 2 ml of HCl show an isotherm Type II (adsorption on the surface layer) with irregular pore size distribution, whereas from the addition of 30 ml, 35 ml, 40 ml and 50 ml HCl show an isotherm Type IV with a hysteresis loop that is characteristic for mesoporous materials with a regular pore size distribution.
Bringing advanced heat batteries in residential heat and electric systems closer to market through real life demonstration in different climates

HEAT-INSYDE advances a ground-breaking closed-loop concept using thermochemical material to a compact domestic heat storage prototype at a Technology Readiness Level of 7 through a user-centric approach with real-life demonstrations in 3 different European climate zones. HEAT-INSYDE delivers an affordable, highly compact solution (< 1 m3) with robust, long term (> 25 years) performance. Its hybrid functionality combines compact storage with a highly efficient heat pump effect. The system balances central (grid) and decentral renewable energy supply, allowing configuration in both heat and electricity systems and creating new opportunities for grid flexibility.
The proposal is based on two recent technological breakthroughs. The first concerns a multicyclic stable thermochemical material with a high energy density that can be produced on(semi-)industrial scale at low costs. The second concerns a reactor principle patented by two partners TNO and TU/e that uses the full potential of the first-generation thermochemical material. The effective energy density on a system level surpasses the state-of-the art water storage solutions by a factor of at least 10.
The HEAT-INSYDE consortium is industry dominated and mobilizes all relevant stakeholders in the value chain: ranging from basic material production, material manipulation, reactor design and manufacturing, energy system integration to municipalities and real end-users. The consortium includes the City of Eindhoven, bringing a large-scale pilot opportunity and a national funding multiplier. The knowledge base consists of TNO, CEA and Eindhoven University of Technology (TU/e), all having an excellent track-record in thermal storage technologies and EU projects in this area.
Cultural (garden) heritage as focal points for sustainable tourism

CultTour aims at implementing strategies to preserve/valorise cultural garden and open space heritage sites by giving it a modern use in tourism, conserving the "genius loci" of the site. The need for professional tourism offer and well-educated staff according to international standards is constantly growing in SEE. This need is addressed by scenarios/strategies for well-adapted tourism development, based on the principles of sustainability and regional economy. Feasibility studies for the restoration and re-use of cultural heritage with a special focus on sites including a garden/park will be done. Financing of subsequent project chains will be prepared by working out business plans and addressing potential investors. To identify regional needs, pilot sites will analyse regional action, interfaces to urban/infrastructure/environmental planning and will do public participation. Common marketing/dissemination will support the economic dimension of the project. CultTour covers a wide range of topics: Cultural garden and open space heritage in the whole SEES will be assessed. A common methodology/tools for future conservation strategies will be defined, addressing the operative level of conservatory work, cooperation with nature conservation and architecture, as well as quality management in tourism. Feasibility studies and model re-utilisation concepts for pilot sites will be a core activity, as a basis for stable and long-term income from tourism. Sector-specific modules for gardeners, constructors, handcraft and tourism staff will be offered as post-graduate programme for professionals and an online university course for landscape architects. To root the project in the regions, workshops on conservatory aspects and concrete regional tourism aspects will be held, integrating the urban/regional/ environmental planning of the municipality. Dissemination of project results in European expert networks will be organised for future co-operation in SEE.
Autenticità e risorse locali come attrattive turistiche: il caso della Calabria

In the last decades numerous changes have affected tourism sector, such as the globalization of markets, the diffusion of new information and communication technologies, and, over all, the demand evolution. All these factors have caused the crisis of mass tourism and the socalled post-tourism birth, reshaping holiday taking and increasing tourist market segmentation. Today tourists want to understand the lifestyle and the local tradition of the destination. Therefore, tourist products must reflect the true culture of the place and must be authentic. This paper analyses the case of Calabria. Calabria is not a successful tourist destination and it is not affected by the main international tourist flows, also due to transportation difficulties and their high costs. The region draws principally the Italian segment of “summer, beach and sun” market and, therefore, it suffers of high demand seasonality. The latter explains the low average occupancy rate of accommodation facilities and the modest rate of return on investment in the tourism sector in the region. A consequence of the congestion of space during the peak season is the negative environmental impact of tourism because of the surpassing of the carrying capacities of the resource base in summer months. In order to overcome these problems, tourism flows have to be regulated and measures are needed to extend the tourist season. The starting could be offering authenticity and uniqueness, concentrating the efforts on typical elements of local lifestyle, history and tradition, involving also the local community. The proposed study analyses some successful enterprises created in order to achieve the previously illustrated aims.
The kinetics of substitution reaction of oxydiacetate and thiodiacetate copper(II) complexes with 1,10-phenanthroline and 2,2’-bipyridine

The kinetics of substitution reactions of the CuODA and CuTDA binary complexes (ODA = oxydiacetate, TDA = thiodiacetate) with 1,10-phenanthroline (phen) and 2,2’-bipyridine (bipy) were studied in aqueous and DMSO solutions. These reactions were monitored spectrometrically using the stopped-flow method in the UV range. The studies were carried out at three temperatures - 298.15, 303.15 and 308.15 K. The concentrations of the binary complexes were kept within the range of 0.2–0.5 mmol L−1, whereas the concentration of phen or bipy was constant = 0.05 mmol L−1. The values of the reaction rate constants were calculated based on the A → B reaction model. A linear relationship of the rate of the substitution reaction versus the concentration of the binary complex as well as temperature was observed. The impact of the type of the primary (ODA and TDA) and auxiliary ligands (phen and bipy) as well as the effect of solvent on the rate of substitution reaction have been discussed. The impact of the primary (ODA = oxydiacetate, TDA = thiodiacetate) and auxiliary ligands (phen and bipy) as well as the effect of solvents (DMSO and water) on the rate of substitution reaction of Cu(II) complexes have been discussed.
Measurements of Newton's gravitational constant and the length of day

About a dozen measurements of Newton's gravitational constant, G, since 1962 have yielded values that differ by far more than their reported random plus systematic errors. We find that these values for G are oscillatory in nature, with a period of P = 5.899 +/- 0.062 yr, an amplitude of (1.619 +/- 0.103) x 10^{-14} m^3 kg^{-1} s^{-2}, and mean-value crossings in 1994 and 1997. However, we do not suggest that G is actually varying by this much, this quickly, but instead that something in the measurement process varies. Of other recently reported results, to the best of our knowledge, the only measurement with the same period and phase is the Length of Day (LOD - defined as a frequency measurement such that a positive increase in LOD values means slower Earth rotation rates and therefore longer days). The aforementioned period is also about half of a solar activity cycle, but the correlation is far less convincing. The 5.9 year periodic signal in LOD has previously been interpreted as due to fluid core motions and inner-core coupling. We report the G/LOD correlation, whose statistical significance is 0.99764 assuming no difference in phase, without claiming to have any satisfactory explanation for it. Least unlikely, perhaps, are currents in the Earth's fluid core that change both its moment of inertia (affecting LOD) and the circumstances in which the Earth-based experiments measure G. In this case, there might be correlations with terrestrial magnetic field measurements.
5Th generation connected and automated mobility cross-border eu trials

5G-ROUTES is a 5G-PPP Phase 3 project whose aim is to validate through robust evidence the latest 5G features and 3GPP specifications (R.16 & R.17) of CAM under realistic conditions. In particular, it will conduct advanced large-scale field trials of most representative CAM applications to demonstrate seamless functionality across a prominent 5G cross-border corridor (Via Baltica-North), traversing Latvia, Estonia and Finland. This will help to boost confidence and accelerate the deployment of 5G-based interoperable CAM ecosystems and services throughout Europe. It also aims at validating 5G as a true enabler of innovative CAM services that cannot be realised by today’s technology. Specifically, 5G-ROUTES will provide: (a) validation of >150 network, business and service-level KPIs for 13 diverse CAM use cases that require 5G performance capabilities, covering several V2X scenarios in automated cooperative, awareness and sensing driving. 5G-ROUTES also focuses on uninterrupted infotainment passenger services on the go and multimodal services in the context of complete connectivity-enabled ecosystems around passengers and cargo over 3 different modes of transport (vehicles, rails and maritime); (b) innovative AI-based technological enablers for facilitating the execution of the field trials. Several scenarios will be considered for each use case covering cross-border, cross-telecom operators, cross telco-vendors, integrated cross terrestrial-satellite and cross-transport-mode settings. These will be incrementally validated, starting from lab trials, followed by localised large-scale trials at strategic cross-border locations (Valga city, Tallinn & Gulf of Finland) and finally in larger-scale trials covering significant portions of transport routes along the selected corridor. Our 22-partner consortium is driven by industry heavyweights and renowned organisations the majority of which participate in 30 out of 63 5G-PPP projects and in several 5G-PPP Working Groups.
Model-based 2-D look-up table calibration tool development

Look-up tables are used in a great variety of fields; their simple structure makes them a common choice for nonlinear models. In automotive applications, engine control unit (ECU) software includes many 1-D and 2-D look-up tables. These tables need to be calibrated with expert engineer during long hours of testing. The look-up tables might require being created from the measurement data, or they might require being updated due to several reasons. A simple and fast mathematical approach is introduced in this work for these requirements. The algorithm is applied to a soot emission measurement data, which is provided from FEV Europe GmbH. It is demonstrated that the created generic look-up table results in the low amount of error. In addition to details of the algorithm, and the simulation demonstration; further improvements and other possible applications of the approach is given throughout the paper.
Incentives in ridesharing with deficit control

This paper proposes a novel market-based system for ridesharing, where commuters are matched based on their declared travel constraints, the number of available seats (which could be zero), and their costs. Based on this information, the system then designates commuters to be either drivers or riders, finds appropriate matches, and calculates rewards for drivers and payments for riders. We show that, for this system, the well-known Vickrey-Clarke-Groves (VCG) mechanism is incentive compatible (IC), individually rational (IR) and efficient (i.e., minimizing cost), but results in a very high deficit, thus requiring large subsidies. We therefore investigate alternative mechanisms. We first consider mechanisms with fixed prices and show that no such mechanism can be both efficient and IC. Thus, we propose an inefficient IC mechanism but which has deficit control. We then consider a VCG mechanism with two-sided reserve prices. We show that this mechanism is IC and IR for a certain range of reserve prices, and we analyse the deficit bounds and how these can be controlled. We furthermore show that the deficit can be controlled even further by limiting the (costly) detours taken by the drivers when computing the allocations, thereby trading off efficiency and deficit.