SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Quick and cost-effective integrated web platform for forest inventories

WoodStock represents the future of how forest inventories will be realized allowing a rapid, efficient and eco-sustainable management of forest resources. So far, forest inventories have always relied on field work to achieve a precision sufficient to be used as a management tool. WoodStock will allow, through the use of a powerful and innovative algorithm and an online and automatic platform, making inventories just using electronic geographic data made available for the administrations of EU Member States. The months for the realization of forest inventories will become minutes, and the cost will be knocked down. Woodstock main customers will be a) all the woodworking industries requiring a quick and precise inventory for forest exploitation; b) private landowners requiring a cheap inventory to comply with local regulation and c) forest consultants that will use our inventory to define forest management strategies.

 A β-version of WoodStock platform has been already realized and validated in Spain through several data collection campaigns and data analysis which demonstrate the algorithm in relevant environment (TRL 7). The project will optimize the algorithm for different EU biotopes and the automatic data download from administrations' servers of targeted countries.

Phase 1 will provide an assessment of the viability of our established technical objectives and will define the actions for its optimisation. Furthermore it will contain a market analysis and the best entry strategy to disseminate and exploit the results.

WoodStock will not just boost AGRESTA business, making us a technical and commercial reference among forest consultants, but as well it will contribute to the growth of the whole EU forestry sector, improving its eco-sustainable management, mobilizing the market and creating new job positions.
TRIZ as an Enabler for Intellectual Property Protection During Product Development

In Europe and the United States a switch to a knowledge intensive production industry is actively pursued. Especially in these knowledge intensive branches of industry proper protection of IP is of utmost importance to get and maintain a profit-making advantage over competitors. These companies define patenting strategy's that go beyond the patent of just single products or processes. The decisions on these patenting strategies are made by specific IP departments after the development process. The main question to be answered is if a company's patent strategy is better served if the product designer can take this strategy into account during the concept development stage. This paper looks at the possibility of TRIZ as means of supporting the product designer in acquiring patent strategy data. It does so by linking a design model to TRIZ tools and methods and patenting strategies. Furthermore TRIZ is compared to generic strategies for developing a (design around) patent. It is concluded that all information is available to define the data for the patenting strategies during concept development, but that the available tools and methods are too slow. Furthermore, two important strategies for defining patens, combination and decomposition, are not properly supported by TRIZ.
What keeps long-term U.S. interest rates so low?

Abstract U.S. government indebtedness and fiscal deficits increased notably following the Global Financial Crisis. Yet long-term interest rates and U.S. Treasury yields have remained remarkably low. What keeps long-term interest rates so low? This paper relies on a simple model, based on John Maynard Keynes’ view that the central bank's actions are the key drivers of long-term interest rates, to explain the behavior of long-term interest rates in the U.S. The empirical findings confirm that short-term interest rates are the most important determinants of long-term interest rates in the U.S. Contrary to conventional wisdom, higher government indebtedness has a negative effect on long-term interest rates, particularly on a long run basis. However, in the short run, higher government indebtedness has a positive effect on long-term interest rates. These are relevant for contemporary policy debates and macroeconomic theory.
Middlebrow enlightenment: disseminating ideas, authors, and texts in 18th-century europe

Intellectual history has long focused on a small number of authors and conceptual frameworks in studying societal change during the Enlightenment. Historians of the book have similarly restricted their vision, tending to privilege radical, subversive or forbidden texts. Yet ever since Daniel Mornet launched the history of the book approach a century ago, historians have recognized that it was authors who were not radical or subversive who produced the best-selling texts of the 18th century. This project will push Enlightenment studies in a new direction by moving beyond the present, narrow corpus of texts and models that dominate the field, and propose a new conceptual framework that takes as its starting-point the heuristic concept of middlebrow culture. Developing a state-of-the-art database, it will, firstly, identify not the ‘high’ Enlightenment texts studied by the history of ideas, and not the ‘low’, forbidden texts of book history, but the real best-sellers of the 18th century. These were the texts that, to readers on the ground, represented the most visible face of the Enlightenment, but have hitherto never really been studied. Secondly, it will elaborate a typology of this corpus describing its generic traits, intended readers, relation to major political-religious debates, and how readers in different parts of Europe appropriated these texts through translations, reworkings and other uses. Finally, it examines how historiography came to define the Enlightenment as the work of an intellectual elite, downplaying the impact of middlebrow texts and readers. The project thus brings an ambitious, bottom-up approach to intellectual history, using book history data and innovative digital tools to argue that the Enlightenment was fashioned not only by the progressive intellectuals we know today, but just as importantly, also by a large mass of forgotten, middlebrow best-sellers that need to be adequately studied if we are to truly understand how we ‘became modern’
Study on the Spatial and Temporal Changes of Land Use in the Typical Development Zones of Mineral Resources Based on GIS Technology

In this article, we study the spatial and temporal changes of land in the typical development zone of mineral resources. The research area is in Dongsheng district, Erdos city. Methods of ArcGIS spatial analysis technology and some models are employed in the article. The author using the land use Dynamic-degree change model dynamic measuring speed, through the transfer matrix of land-use, research and analysis the direction of the transfer of various land use types. The results show that: (1) From year 1993 to 2014, great changes had taken place in both quantity and structure of the land use of Dongsheng district; (2) During the study period, the variation range of woodland, cultivated land, grassland and urban- village industrial and mining land was larger. All in all, the dynamic changes in land use in the overall flat, but the urban construction land changes faster; (3) From year 1993 to 2005, the transfer of each land use type were larger than the 2005–2014. And the transfer of land was mainly between the cultivated land, grassland, Urban and villages land.
A review of accounting research in the Asia Pacific region

In this paper, we review scholarly accounting research published within the Asia Pacific Region by analysing nine of the main accounting journals within the region along five dimensions. The nine journals we focus on are: Accounting, Auditing and Accountability Journal; Australian Accounting Review; Abacus; Accounting and Finance; Australian Journal of Management; Accounting Research Journal; Journal of Contemporary Accounting and Economics; Managerial Auditing Journal; and Pacific Accounting Review. The five dimensions we consider are: the most frequently cited papers; topical coverage; impact on practice; research method; and noted authors. Our review leads us to conclude that the accounting journals published within the Asia Pacific region make a significant contribution to research and practice both within the region and internationally.
“El Araceli” Non-destructive Test from the “Misterio de Elche” Play

In the city of Elche, every year, on August 14 and 15, it is celebrated a sacred musical drama of the death, the passage into heaven (known as the Assumption) and the crowning of the Virgin Mary. This event, known as “Misterio de Elche” play is unique in Europe. Since the mid-fifteenth century it has been performed in the Basilica of Saint Mary and in the streets of the old city of Elche, situated in the region of Valencia. The stage has two levels: the horizontal “terrestrial” stage and the vertical “celestial” stage, characteristic of the medieval mystery play. Ancient aerial machinery is used to enhance the spectacle by means of special effects. From the upper level, several aerial devices are raised and lowered in a controlled manner. These devices are called “La Mangrana”, “El Araceli” and “La Santísima Trinidad”. To give context to the reader, it is important to highlight that “El Araceli” is a device prepared to support five people situated in a special layout. The original supporting structure of this apparatus was made up of forged steel, wood and hemp ropes, but with the passage of time, some successive renovations were required. In 2010, wear was detected in some parts by the technical department that could cause security problems. Due to this circumstance, it was ordered a deep study. This paper analyzes a non-destructive test that was carried out on “El Araceli”. A data acquisition system customized to the device was used to verify that the apparatus was suitable for the loads for which it was designed.
Comorbid conditions of attention deficit / hyperactivity disorder

Understanding mechanisms underlying comorbid disorders poses a challenge for developing precision medicine tools. Psychiatric disorders are highly comorbid, and are among the last areas of medicine, where classification is driven by phenomenology rather than pathophysiology. We will study comorbidity between the most frequent psychiatric conditions, ADHD, mood/anxiety, and substance use disorders, and a highly prevalent somatic disease, obesity. ADHD, a childhood-onset disorder, forms the entry into a lifelong negative trajectory characterized by these comorbidities. Common mechanisms underlying this course are unknown, despite their relevance for early detection, prevention, and treatment. Our interdisciplinary team of experts will integrate epidemiologic/genetic approaches with experimental designs to address those issues. We will determine disease burden of comorbidity, calculate its socioeconomic impact, and reveal risk factors. We will study biological pathways of comorbidity and derive biomarkers, prioritizing two candidate mechanisms (circadian rhythm and dopaminergic neurotransmission), but also leveraging large existing data sets to identify new ones. A pilot clinical trial to study non-pharmacologic, dopamine-based and chronobiological treatments will be performed, employing innovative mHealth to monitor and support patients’ daily life. Integration of findings will lead to prediction algorithms enhancing early diagnosis and prevention of comorbidity. Finally, we will screen to repurpose existing pharmacological compounds. Integrating complementary approaches based on large-scale, existing data and innovative data collection, we maximize value for money in this project, leading to insight into the mechanisms underlying this comorbidity triad with its huge burden for healthcare, economy, and society. This will facilitate early detection and non-invasive, scalable, and low-cost treatment, creating opportunities for substantial and immediate societal impact.
Regional Energy Efficiency HUB

Energy Efficiency (EE) has been described as the EU’s biggest energy resource and one of the most cost effective ways to enhance the security of its energy supply and decrease the emissions of greenhouse gases and other pollutants. This is why the EU has primary energy consumption saving targets for 2020, 2030 and further legislation in the field looking to a 2050 horizon.The EU today finds itself in a place where EE investments have become strategically important due to the high level of energy imports required by the EU bloc, energy price instability and the need to transition to a competitive low carbon and resilient economy.Aligned to this consideration, REEHUB partners agree that building sector represent the largest energy-consuming  sector in the economy, with over one-third of all energy and half of global electricity consumed.They share the idea that public buildings should be an example of best practise to energy saving, improving energy efficiency through innovative techniques and good habits and consumers’ behaviour.REEHUB  aims to give a strategic contribution in this process, creating regional Hub, connected as a network, located in public buildings in each regions, where will be organized capacity building actions and collect educational materials for energy efficiency audit in the building sector. The two starting point will be the audit of the HUB in terms of energy saving and consuming, sharing a common energy audit approach for Mediterranean region and the capitalization in Molise and Albania of Alterenergy results.REEHUB audit approach will be transferred to different stakeholders, such as public technicians of Municipality, National Energy Department and policy makers.HUBs will become, connecting experience with similar Mediterranean regions, an “agora” where local policy maker of Italian and Balcan coasts can have open dialogue with citizien, building material industry, designer and green SMEs for the implementation of local energy plan.
The intelligent service network operator

The dynamic of today's IT business market demands 100% operations availability. Mission-critical applications and data centres are cashing-in huge company resources but the investments don't deliver the expected results. As many organisations face hardware and software downtime, IT failures have become regular aspects of company life. 59% of Fortune 500 companies experience a minimum of 1.6 hours of downtime per week, loosing €41.4M/year, as the resolution time often exceeds the tolerable 2 hours threshold. Nominated by Gartner as cool vendors in 2016 and supported by the innovation funding agency Tekes, at Service Flow we understand the limitations of current Information Technology Service Management solutions, especially in service cost, agility, availability and accessibility. As the ITSM market is projected to grow to €8.05 billion by 2021, organisations need cost-effective and reliable ITSM integrations. Within the EU Digital Society context, our project SERVONE brings the first SaaS solution providing the easiest and most reliable service by which ITSM and other service management systems can be integrated. All-inclusive and automated, it enables end-users and service providers to digitalise service processes through a simple Connect-Configure-Run process, giving 99.9% end-to-end availability. Service Vendors no longer need to set up the solution every time a new client is on-boarded. End-users benefit from automation, better management of multi-vendors and multi-customer environment, larger margins and standardisation. Starting from a reliable system but with limited capabilities at TRL6, we plan to bring our solution to a full commercial launch. The Feasibility Study will result in a detailed Business Plan we will use for global expansion by the third quarter 2018 after completing the Phase 2 project. We are planning a market reach across Europe, USA and Asia-Pacific by 5th year of commercialisation with a total revenue of €36.00m and ROI of 5 by 2021.
Advertising system

An advertising system for advertising on a carrier, such as on the outside of a bus, comprises a sheet holder (3) for mounting on said carrier; and a sheet (1) for fitting in the sheet holder so that an advertising side (2) of the sheet is facing outwards relative to said carrier, the sheet having opposing sheet edge portions (11a, 11b), and the sheet holder (3) comprising opposing sheet-holding portions (9a, 9b), whereof at least one of said sheet-holding portions is provided with a longitudinal groove (5a, 5b) for receiving one of said sheet edge portions (11a, 11b). Said sheet edge portions (11a, 11b) are resilient in a spring-back direction which is parallel with the perpendicular of the advertising side (2) and, when said sheet edge portion (11a, 11b) is located outside the groove (5a, 5b), in said direction have a thickness (t') which is greater than a minimum width (w, w') of the groove (5a, 5b).
Performance Study and Comparison of Three Types of Film Fill Packings in Bisotoun Power Plant of Kermanshah Province in Iran Using Merkel Model

This study deals with calculation and comparison of performance parameters of three types of horizontal, vertical and mixed corrugated film fill packing, to their actual values in cooling tower of the Bisotoun power plant. Through this, performances of cooling packing are compared with each other. Also utilization of the most appropriate cooling tower in Bisotoun power plant has been investigated. In order to rich the above mentioned goals, added to describing performance of physical mechanisms in wet mechanical counter current cooling towers and Merkel’s thermal theory, thermal properties of the pre-mentioned cooling packings are presented also, moreover performance parameters of the three packing are calculated and compared, then the appropriate conclusion is made. The results show that among the three packings, because of having appropriate characteristics like higher surface to volume ratio and mass transport coefficient and so on, the mixed corrugated packing has had the best performance in comparison with the other two packings and can perform acceptable in Bisotoun power plant. As, the Values of the cold water temperatures, the temperature difference between cold water and wet point temperature of the ambient and the coolness range the mixed corrugated packing is fully consistent with those gathered from the power plant’s data. However, values of these parameters show considerable difference in two other packing with their counterparts in Bisotoun power plant, the water flow rate to air flow rate ratio in the mentioned packing shows a tiny difference with the actual value in the power plant which is 2.15 (1.4% increase). If this packing was used the amount of air used to cool down the water in the cooling tower which is prepared by each fan would be 521 m<sup>3</sup>/secs, which defers 5.4 % with that of Bisotoun, that is 551 m<sup>3</sup>/sec.
Next generation carbon neutral pilots for smart intelligent mining systems

NEXGEN-SIMS will be focusing on scale-up of promising technologies and demonstrating their potential at several large scale mining pilots, which will provide the mining industry the necessary means of addressing the future challenges in sustainable mining while at the same time NEXGEN-SIMS will be creating incitements and lowering the risk for investments associated with upgrading, retrofitting and replacing existing investments with carbon neutral technologies as well as introduction of new innovative solutions based on industrial IoT. Many fears that introduction of new and radical production systems (in our case, digitalization in combination with carbon-neutral mining systems) are associated with high investment costs that will make the European mining industry less competitive even though the facts clearly indicates the complete opposite. With NEXGEN-SIMS we intend to
demonstrate that utilization of innovative solutions based on new implementations of cost-efficient connectivity can enable better monitoring, analytics, optimization and process control (primarily for the mining fleets), and that connectivity can enable introduction of new and improved optimization and automatization strategies of the unit operations associated with the material handling processes by means of carbon-neutral mining systems. The estimated potential with NEXGEN-SIMS in terms of increased productivity is large and has been estimated to be as high as 40%, which will contribute considerably to securing the existing raw materials production in Europe as well as securing the future supply and lead to unlocking of substantial reserves of new or of today unexploited resources.
The effects of different levels of orange fiber and fat on microbiological, physical, chemical and sensorial properties of sucuk

The effects of orange fiber and fat levels on the physical, chemical and microbiological properties of sucuk (Turkish dry-fermented sausage) were investigated. Different levels of orange fiber (0, 2 and 4%) were added to sucuk batters with different levels of fat (10, 15 and 20%). Sucuk samples were analyzed during ripening. Lactic acid bacteria, Micrococcus/Staphylococcus and pH value were effected very significantly by orange fiber. Orange fiber caused a decrease in residual nitrite levels and an increase in the TBARS values. L(∗) and b(∗) values of sucuk samples increased with the use of fiber. Fiber use also decreased the cooking loss. No statistically significant difference was found between control and 2% fiber groups in terms of texture, color, odor taste and general acceptability scores. While fat levels had significant effects on cooking loss, taste and L(∗) values, ripening time effected all analyzed parameters.
Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model

Stochasticity and small system size effects in complex biochemical reaction networks can greatly alter transient and steady-state system properties. A common approach to modeling reaction networks, which accounts for system size, is the chemical master equation that governs the dynamics of the joint probability distribution for molecular copy number. However, calculation of the stationary distribution is often prohibitive, due to the large state-space associated with most biochemical reaction networks. Here, we analyze a network representing a luminal calcium release site model and investigate to what extent small system size effects and calcium fluctuations, driven by ion channel gating, influx and diffusion, alter steady-state ion channel properties including open probability. For a physiological ion channel gating model and number of channels, the state-space may be between approximately 106 − 108 elements, and a novel modified block power method is used to solve the associated dominant eigenvector problem required to calculate the stationary distribution. We demonstrate that both small local cytosolic domain volume and a small number of ion channels drive calcium fluctuations that result in deviation from the corresponding model that neglects small system size effects.
Averaging of kernel functions

In kernel-based machines, the integration of a number of different kernels to build more flexible learning methods is a promising avenue for research. In multiple kernel learning, a compound kernel is build by learning a kernel that is a positively weighted arithmetic mean of several sources. We show in this paper that the only feasible average for kernel learning is precisely the arithmetic average. We investigate general families of averaging processes and how they relate to the development of kernels. Specifically, a number of multivariate and univariate kernels are developed based on the notion of generalized means. These results can be used in more general kernel optimization procedures.