SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Promoting sustainable use of underutilized lands for bioenergy production through a web-based platform for europe

The BIOPLAT-EU proposal will promote and support the uptake of sustainable bioenergy projects on marginal, underutilized and contaminated lands (MUC lands). These lands cannot be used for food production or for recreational and conservation purposes, but in some cases, they still retain the potential to produce biomass for non-food purposes. Moreover such use of these lands is not known to stakeholders, therefore the proposal will promote and inform about such opportunities through a web-based platform which will include a public user friendly tool using global information system that will assess the environmental, social and techno-economic sustainability aspects of defined value chains for bioenergy production on MUC lands and through stakeholder engagement activities. In order to remove legal barriers for the uptake of such projects, communication activities with the responsible authorities will be organised. As for the technical and financial barriers, the proposal will support stakeholders and give guidance on how such projects can be implemented. Moreover, it will link biomass producers and processors with investors and will guide them on how to make their projects bankable.
A financial supervision and technology compliance training programme

Financial Technology (Fin Tech) means ""Technology enabled financial innovations"". There is a strong need to improve the competitiveness of the European Fin Tech sector, creating a common regulatory field across all countries which, while encouraging innovations in Big Data analytics, Artificial  Intelligence, and Blockchain technologies, can correctly measure their risks. Europe is a broad mosaic of regulatory landscapes. Policy makers and regulators must move quickly to establish a new regulatory framework for emerging fintechs, without stifling their economic potential.

The FIN-TECH project, under the EU's Horizon2020 funding scheme, aims to create a European training programme, aimed at providing shared risk management solutions that automatize compliance of Fintech companies (RegTech) and, at the same time, increases the efficiency of supervisory activities (SupTech). In other words, we aim at connecting FINancial supervision with TECHnological compliance, from which the acronym of the project: FIN-TECH.

The project  programme will be built jointly by 24 university and fntech partners that are established experts in fintech risk management,  that will share knowledge with with  regulators, supervisors and fintech associations and hubs from all 28 European Union countries, plus Switzerland. 

The  goals of the project will be achieved through research activity in risk management models for Big data analytics, AI and Blockchain applications to finance, discussed in three different research workshops; two levels of knowledge exchange sessions: a training level, run at the location of the involved supervisor in each of the 29 countries, to achieve uniformity across Europe; a coding level,  centralised at the location of six different fintech hubs. The project will be simultaneously disseminated and validated through a dedicated web site, social network activity, users feedback and validation by established bank, insurance and investment funds.
High tech and disruptive prices global solution for real time alerts on agrifood pest, based on wing beat, unique features on insects biometric

33% of the total of all pesticides used in the agricultural sector are for control of pest insects. >99 % of the agricultural area cultivated use manual pest warning systems. Current technologies for tackling this problem are intensive concerning human labour, have complex logistics, are very costly and have low efficiency levels. They have not been able to reduce damage to crops below a 20-40% range. The “holy grail” of the market is a technology and solution that allows an integrated management of pests, with a real-time early warning system, sufficiently effective and at a viable cost, that can be scaled to different types of crops and pests, and that would later enable a fast and focused treatment solution. Overall expenditure on pesticide management is up to 2% of the value of agricultural production. The value of the potential market for early warning solutions against pests is estimated 0.5% of the value of the annual global agricultural production, >€14 billion in 2016.

AgroPestAlert is a globally innovative, specific and unique solution in its category that enables the automation and digitization of the tasks necessary for early pest surveillance at a disruptive cost, for the first time allowing the market to address the need for early warning of pests in real-time in a viable and effective way. Its technological differential is based on the use of a biometrical “wing beat” element relating to the insects, which allows a reduction of 50% the installation cost (vs systems based on high resolution photos) and the Operation and Maintenance costs (O&M) are reduced by >95%.It also uses a layer of nano components for pheromones that makes it possible to extend its effectiveness and efficiency.

AgroPestAlert is focused on 3 segments: Large agricultural farms, Downstream agro-industrial companies; Early warning official stations.

The objective of this phase 1 is to complete a feasibility study to find out the workability and profitability of the business venture
Common value experimentation

Abstract In many economic environments, agents often continue to learn about the same underlying state variable, even if they switch action. For example, a worker's ability revealed in one job or when unemployed is informative about her productivity in another job. We analyze a general setup of experimentation with common values, and show that in addition to the well-known conditions of value matching (level) and smooth pasting (first derivative), this implies that the second derivatives of the value function must be equal whenever the agent switches action. This condition holds generally whenever the stochastic process has continuous increments. The main appeal of our approach is its applicability, which is demonstrated with two applications featuring common value experimentation: strategic pricing, and job search with switching costs.
Sustainable Instruments for Lakes Management in the Alpine Space

Natural and artificial lakes are a main characteristic of the Alpine Space and belong, with their catchment areas, to the European heritage.
During last decades, authorities in charge of lakes management worked to preserve and restore this heritage and its natural resources. They now have to anticipate climate change impacts.
SILMAS, by exchanging good practices and testing new methods, will supply its 15 partners with efficient tools for reaching goals of the frame directives (Water and Natura 2000) and the Alpine Convention:
- creation of a virtual laboratory, to define current ecological state of the lakes and  anticipate changes due to climatic and biological dynamics,
- assessment of existing governance tools dealing with regulation of land/resources and conflicts solving, then testing decision-making instruments in different lakes sites,
- production of information and education tools for sustainable lakes management and uses, dedicated to decision makers, stakeholders and young publics.
ANALISIS KOMPARASI USAHATANI PADI SAWAH METODE SRI (System of Rice Intensification) DAN KONVENSIONAL DI KECAMATAN GERIH KABUPATEN NGAWI

Rice production policy becomes core policy in agricultural development.
About problem at the site is, progressively descent of farm advocate energy by marks
sense acreage narrowing, its dwindling is level soiled fecundity, so needs to mark
sense conducting technology innovation paddy as SRI method.
To the effort of observational is (1) For explain to methodic paddy
conducting SRI at Gerih district Ngawi Regency, (2) Compare cultivation cost and
income structure paddies SRI Methods and Conventional at Gerih district Ngawi
Regency, (3) Account cultivation efficiencies paddies SRI Methods and
Conventional at Gerih district Ngawi Regency.
Observational region determination done by Purposive methods, with
consideration was performed SRI program that formalized by East Java Governor.
Population in observational is paddy ciherang varieties farmer at Gerih district by
SRI Methods and Conventional. Sampling method utilizes Purposive Sampling.
Total sample that is taken as much 40 farmers spread at Gerih district.
Analysis’s method data that is utilized is: (1) Descriptive Analysis, to
clarifies paddy conducting SRI Methods, (2) t tests analysis, to analize cost structure
compare and income, (3) Cultivation Feasibility Analysis’s is utilized to account
efficiencies.
Base observational result, averagely SRI farmer production cost as big as Rp.
15.697.750,00 greater of conventional farmer (Rp.12.926.400,00). The t test point
out a marked difference among SRI farmer production cost with conventional
farmer. Average accepting for SRI farmer as big as Rp. 22.727.550,00 higher than
accepting conventional farmer as big as Rp. 18.062.650,00. By t test point out a
marked difference among accepting SRI farmer with conventional farmer. Average
interest for SRI farmer as big as Rp. 7.029.850,00 greater than level interest
conventional farmer as big as Rp. 5.136.250,00. By t test point out a marked
difference among income SRI farmer with conventional farmer.
R/C Ratio point show 1,46 for SRI method and 1,40 for Conventional
method, so all cultivation it is said efficient. But SRI technology can assign value
R/C ratio that greater, namely with difference as big as 0.6 unit, and remembers this
technology still new so its potentially to be developed. B/C Ratio Incremental point
as big as 0,68 its means paddy cultivation methods SRI more advantage as big as
0,68 unit at appeal by methods conventional, so SRI method reasonably to be advised
the use of by farmer.
Single lens off-chip cellphone microscopy

Within the last few years, cellphone subscriptions have widely spread and now cover even the remotest parts of the planet. Adequate access to healthcare, however, is not widely available, especially in developing countries. We propose a new approach to converting cellphones into low-cost scientific devices for microscopy. Cellphone microscopes have the potential to revolutionize health-related screening and analysis for a variety of applications, including blood and water tests. Our optical system is more flexible than previously proposed mobile microscopes and allows for wide field of view panoramic imaging, the acquisition of parallax, and coded background illumination, which optically enhances the contrast of transparent and refractive specimens.
The bridge between machines and software systems for smart industrial operation

Manufacturing industries are currently facing difficulties when comes to connecting their machines with the data analysis and management software systems, due to interoperability issues. Much of the data are not structured, have the same format or are even compatible; manufacturing big data sets are highly heterogeneous and unstructured in nature, being hard to analyse and distribute across various sectors and different stakeholders involved in the product and factory life cycles. As a result, more than half of European manufacturing companies (particularly SMEs) are missing on the opportunity of Industry 4.0 to maximize productivity and efficiency. STARGATE consists of a HW platform and SW that enables data acquisition from the factory machines simply and efficiently. It works as a single gateway that acts as a bridge between the machines and the numerous software systems used at the factory to control production. At this point, we have already developed a prototype capable of connecting all machines within a shop floor with a unique gateway. It has been tested at the facilities of a well-known company in the jewellery industry and a leading supplier of tool data management software solutions. Next, we need to (1) automatize the process of SW installation, (2) test and validate the tool data collection module. STARGATE will be firstly focused to CNC tool machines within metal-cutting industries with a total volume of 24.4 bn euro in 2017. Commercialization will follow a three-step strategy: DACH countries, rest of Europe and USA. By 2023, we expect to increase our revenue to almost 6M€ with a global profit of 2.65M€, tripling the figures that the company makes today. We are ECI Manufacturing, an Austrian company dedicated to the manufacture of complex engine and machine components. With STARGATE, we aim at entering a new industry: Mechatronics. For that, we count with qualified engineers experienced in data exchange, SW development and manufacturing processes.
Machine learning for tailoring organic semiconductors

“Machine Learning for Tailoring Organic Semiconductors” (MALTOSE) connects fundamental materials research with machine-learning (ML) techniques, focusing on the electronic properties of organic semiconductors. The aim of this innovative project is to discover and design novel materials with exciting properties, the prime example being the design of compounds for better organic photovoltaic cells, i.e., that reach higher power-conversion efficiencies and are more stable and more environmentally friendly.

The methodology relies on a deep tensor neural network, the so-called PredictNet, that is designed and trained to predict electronic properties of molecules and polymers, at a fraction of the numerical cost compared to density-functional theory (DFT) computations, not to mention experimental measurements. PredictNet will be particularly fruitful in combination with a genetic algorithm that will be developed to propose candidate compounds from crossover and mutation from previously successful compounds. MALTOSE will enable the identification and design of promising compounds, out of the immense pool of imaginable molecules and materials, for future technological applications in fields like organic photovoltaic solar cells, large-area electronic displays, flexible organic electronics, or sensors.

The project will bring together the fellow, a recognized quantum physicist and data scientist with academic and industry research experience, and a top research host institution under the supervision of a leading expert in materials science, genetic algorithms, modelling, simulation and knowledge transfer. The fellow will receive an advanced training programme in research skills and complementary non-research-oriented skills in order to enhance his future career prospects and to provide a strong basis for an independent career.
T-Helper Type 9 Cells Play a Central Role in the Pathogenesis of Respiratory Epithelial Adenomatoid Hamartoma

The etiology and pathogenesis of respiratory epithelial adenomatoid hamartoma (REAH) remain poorly understood, although some reports have suggested that REAH features an inflammatory process. T-helper type 9 (Th9) cells are a newly identified subset of CD4+ T-helper cells characterized by the expression of high levels of interleukin (IL)-9, which may promote inflammation. As REAH may involve an inflammatory process, we evaluated whether IL-9 and/or Th9 cells were present in REAH and compared the levels thereof to those of normal nasal mucosa. Eleven patients with REAH and 5 exhibiting cerebrospinal fluid leakage were included in the study. Flow cytometry was used to measure Th9 cell numbers, a cytometric bead assay was applied to measure IL-9 levels, and real-time polymerase chain reaction was used to quantify the levels of mRNA encoding IL-9. Th9 cells, IL-9 mRNA, and IL-9 were detected in all REAH and control samples. The proportion of Th9 cells in the patients with REAH was significantly greater than that in the controls. The expression levels of IL-9-encoding mRNA and IL-9 protein were significantly higher in the patients with REAH than in the controls. The Th9 cell subset was expanded, the synthesis of IL-9-encoding mRNA was upregulated, and IL-9 secretion was increased in REAH tissue, suggesting that Th9 cells play a central role in the pathogenesis of the disease.
Elucidating the marine diversity gradient with empirical and theoretical models

As the Earth warms, the oceans are predicted to undergo dramatic physical and chemical changes. However, uncertainty persists regarding the geograpic distributions of marine biodiversity patterns and the processes that generate them. Basic measures of biodiversity are often used as a proxy for ecosystem health, and without understanding what marine biodiversity patterns are and how they have been generated in the past, anticipating and mitigating climate change effects on our oceans will remain an impossible task. To date, study of terrestrial systems has dominated macroecological and biogeographic research. The proposed project will establish analytical procedure for estimating baseline marine diversity patterns and inferring the broad-scale processes that generated those patterns, adapted to the unique properties of marine systems. The specific objectives of the project are: 1) Obtain empirical estimates biodiversity patterns for three orders of marine fish, 2) Generate a process-based model of the mechanisms leading to marine diversity patterns, and 3) Compare empirical diversity estimates and process-based models to identify where theory is unable to predict reality. This work will strengthen the link between the theory-predicted expectations of marine biodiversity and observed empirical patterns, improving our understanding of the unique processes that shape marine macroecology and biogeography. This, in turn, will aid in anticipating the potential effects of climate change on future diversity, and lead to more robust preservation and mitigation strategies.
DEINKING PROCESS

Inks are removed from printed media by: (i) forming a pulp slurry containing the printed media and water, (ii) adding an alkaline earth metal tallate dispersion to the slurry and (iii) subjecting the slurry to flotation deinking in a flotation cell, wherein the alkaline earth metal tallate dispersion has been prepared by a double displacement method.
Elucidating the mechanisms of insect’s chemical taste to understand specific host-plant selection

The sense of taste enables an animal to decide what it eats and drinks. Insects are able to discriminate among soluble chemicals via their gustatory receptors (GRs) in order to accept or reject a certain food plant or initiate mating and oviposition. Despite their essential role in the insect’s overall food intake, survival and reproductive success, relatively little is known about insect GRs, especially in beetles. This is surprising given their importance as agricultural and forestry pests, their global distribution and huge species number as herbivorous insects. I aim to identify and characterise GRs that mediate host plant selection in a specialist poplar leaf beetle, Chrysomela populi. These beetles feed on economically important poplar trees and damage timber plantations worldwide. It is hypothesised that the phenolic glucoside salicin in poplar is a major taste stimulant for C. populi and enhances feeding activity. However, it is unknown how salicin or, alternatively, other taste stimulants are detected by, and interact with specific GRs in C. populi to elicit feeding behaviour. I will elucidate these mechanisms by (i) identification of candidate genes encoding GRs in C. populi via tissue specific transcriptome sequencing and transcript visualisation via RNA-FISH, (ii) knock-down of single GR genes via RNAi to test the feeding behaviour of RNAi-silenced beetles, and (iii) test whether any of the taste stimulants from poplar function as in vivo and in vitro ligand for specific C. populi GRs by tissue-specific electrophysiological recordings and heterologous expression, respectively. These results will shed new light on the question how GRs function as regulators for herbivorous beetles to select and consume specific plants, which will significantly advance our knowledge in understanding host plant selection. As poplar leaf beetles are important pests, the results may also pave the way for timely development of sustainable pest management in forestry.
A CAMPING APPARATUS

In one aspect, the present invention is directed to a camping apparatus comprising: a plurality of camping appliances; and at least one connector, for connecting two or more of the camping appliances. According to one embodiment of the invention, at least one of the camping appliances is a tent. According to another embodiment of the invention, at least two of the camping appliances are tents. According to yet another embodiment of the invention, at least one of the camping appliances is a mattress. The mattress may be adapted to be filled with gas or fluid. According to yet another embodiment of the invention, one of the camping appliances is a sleeping appliance such as a blanket, linen, a pillow, a sleeping bag, and so forth. The connector may be a zipper, Velcro, a button, sewing, gluing, and so forth.
Modeling and inference of genetic interactions

The regulatory interactions in a cell form a complicated system, and an important goal of systems biology is to model and infer these interactions. The modeling and inference of genetic regulatory models requires understanding of the true biological interactions while incorporating the technological limitations on observation of the biological entities in estimation of a robust model. This review is structured as follows: (a) a brief description of the biological interactions is provided, (b) currently available technologies for measuring genomic characterizations are outlined, (c) followed by the description of the commonly used approaches for genetic regulatory network modeling, and (d) finally, some of the pertinent issues in modeling and inference of genetic interactions are discussed. WIREs Data Mining Knowl Discov 2013, 3:453–466. doi: 10.1002/widm.1103



The author has declared no conflicts of interest in relation to this article.



For further resources related to this article, please visit the WIREs website.
Discovering the feasibility of using the radiation forces for recovering rare earth elements from coal power plant by-products

Abstract The feasibility of using laser separation for rare earth recovery from coal ashes was explored. To do so, laser-induced motion and travel distances of some rare earth and rare earth oxides (Lu 2 O 3 , Yb 2 O 3 , HfO 2 , Dy 2 O 3 , Ta 2 O 5 , Tm, Lu, Ho, TeO 2 , La 2 O 3 , Ho, TiO 2 , Fe 2 O 3 Y 2 O 3 , GeO 2 , Sc 2 O 3 ) and mineral compounds (MgO, CaO, Al 2 O 3 , SiO 2 , KCl) that are commonly found is coal ashes were numerically investigated. The investigations were carried out for particles in quiescent air, ( T  = 300 K, μ  = 18.46 × 10 −6  N s/m 2 , ρ  = 1.177 kg/m 3 ) exposing to a CW laser beam of 6 mm in diameter and it was focused by a 500 mm focal length lens. The results showed that the separation distances between these elements varied from few micrometers to several millimeters and it became widened as the laser power increased. The important result presented here is that all rare earth oxides were separated and concentrated in a small area located near the beam waist while all other mineral compounds traveled further and concentrated in a small area far from the beam waist.