SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Energy price risk and the sustainability of demand side supply chains

Energy is a critical input for production industries. As production becomes increasingly fragmented the management of inputs along the supply chain is a significant factor to stability and the competitiveness of the individual firm and the wider chain. Sustainable supply systems will require changes in how energy is managed particularly to ensure energy security. Rising and increasingly volatile industrial prices create technical price risks to individual firms and the supply chains they are within. A comparison is made between the management of metal and energy price volatility in the intermediate metal processing industry (IMP) in the West Midlands, UK. Results indicate significant variance between the management of price risks from the inputs due to the structure of the supply market, the political-economic context of energy as a carbon source and industrial conventions within the sector. Interdependence between economic actors in the demand-side supply chain can generate risk to the competitiveness of the firm and supply chain from the ability to transfer, or share, price changes in energy inputs through the supply chain. This is an important aspect of energy security in demand-side chains that threatens the sustainability of industrial activity.
Role of coarse woody debris in the carbon cycle of Takayama forest, central Japan

Coarse woody debris (CWD) is an important component of the forest carbon cycle, acting as a carbon pool and a source of CO2 in temperate forest ecosystems. We used a soda-lime closed-chamber method to measure CO2 efflux from downed CWD (diameter ≥5 cm) and to examine CWD respiration (RCWD) under field conditions over 1 year in a temperate secondary pioneer forest in Takayama forest. We also investigated tree mortality (input to the CWD pool) from the data obtained from the annual tree census, which commenced in 2000. We developed an exponential function of temperature to predict RCWD in each decay class (R2 = 0.81–0.97). The sensitivity of RCWD to changing temperature, expressed as Q10, ranged from 2.12 to 2.92 and was relatively high in decay class III. Annual C flux from CWD (FCWD) was extrapolated using continuous air temperature measurements and CWD necromass pools in the three decay classes. FCWD was 3.0 (class I), 17.8 (class II), and 13.7 g C m−2 year−1 (class III) and totaled 34 g C m−2 year−1 in 2009. Annual input to CWD averaged 77 g C m−2 year−1 from 2000 to 2009. The budget of the CWD pool in the Takayama forest, including tree mortality inputs and respiratory outputs, was 0.43 Mg C ha−1 year−1 (net C sink) owing to high tree mortality in the mature pioneer forest. The potential CWD sink is important for the carbon cycle in temperate successional forests.
Innovation in Tourism in the Adriatic-Ionian Macroregion

Empowering ADRION tourism sector innovation is the way to safeguard the continuation of socio-economic growth of the area, tourism representing one of the most important industries in the area with four countries (Italy, Greece, Croatia, Slovenia) included in the world top 40 in 2015 (ref. Travel & Tourism Competitiveness Index - TTCI).
Tourism in the area has to cope with changes in demand and tourist behavior, new emerging markets and socio-economic crises.
The project aims at improving the innovation capability of ADRION tourism sector, relying heavily on innovative products, processes and services that can supplement natural and cultural offerings.
The project will network the transnational ADRION quadruple helix tourism community into an Adriatic Ionian Tourism Technology Platform with active involvement throughout the project. A Tourism Innovation Observatory will provide a platform for modeling ADRION innovative tourism, equipped with a Tourism Innovation Decision Support System providing the ability to evaluate the impact of potential interventions on the competitiveness and sustainability of tourism destinations, structures and services. Based on a wide consensus built in the area among quadruple helix stakeholders a Strategic Agenda on Innovation in Tourism will be produced offering the strategy for tourism innovation enhancement and combined with an Action Plan issuing policy recommendations and guidelines for investments as well as potential accessible funding.
It is expected that the project will simulate a paradigm shift in tourism policies and investments through its innovative approach and enrolled tools. On the other hand it is expected to provide a permanent and lasting effect in regional and local strategies on tourism by technology transfer and capacity building of both public and private sectors and leading to a regional tourism innovation system in the area.
Coherent ultrafast long wave infrared communications

A vast potential for high-end photonics application remains untapped in the Long Wave InfraRed region of the electromagnetic spectrum (LWIR, 8-12μm). In particular, Free Space Optical (FSO) communications using LWIR wavelengths could present unmatched availability and speed compared to telecom and RF links, due to extremely low sensitivity to atmospheric perturbation. The cFLOW project will bring photonic integrated circuits concepts to Quantum Cascade Lasers and Detectors (QCL & QCD) technology in order to establish a scientific and technological landmark for LWIR FSO.  We will demonstrate a coherent transmission with datarate in the 20-100Gbps range, based on devices operating at room-temperature: (i) a “telecom ready” LWIR QCL chip with record modulation speed (>20GHz), 100% modulation depth, tens to hundreds of mW output power and low RF power consumption. (ii) A high-speed (>20GHz) heterodyne sensor with a sensitivities three orders of magnitude higher than current solutions.   The success of the cFLOW project will completely redefine potential architectures for the wireless communications networks of the 21st century.
Boosting the performances of wind turbines thanks to microstructure coating

The wind energy market is developing quickly and it will produce 15% of the EU’s electricity demand by 2020, avoiding 333 million tonnes of CO2 per year and saving Europe €28 billion a year in fuel costs. Yet, it struggles to find innovations that can reach the market soon, with little costs, and that be used on existing turbines. 
We address this need via a novel coating technology that we have developed in house and patented. In short, we create microstructures on the wind turbine blades in order to reduce their air resistance. These microstructures are grooves that channel the air turbulence on the surface thus improving the aerodynamics. Our innovation is perfectly suited to wind turbines blades, since it helps to increase their efficiency without changing their shapes or manufacturing process, and it can be even used on existing wind turbines, simply by recoating them.  
We are currently at TRL 6, we filed one patent in 2018 and performed an extensive Freedom to Operate analysis, with positive results. Our customers are the manufacturers of wind turbines, who want to create a better product without re-engineering the blades, and the Operations and Maintenance companies of wind farms, who want to improve the performances of existing wind turbines. The Total Addressable Market is over €1.76 billion. 
Our first sale will happen in December 2020 but we are already commercializing the printing system without the full capabilities of microstructure coating in order to gain revenues and reputation. In our commercial strategy, we will first address five countries that are promising (UK, Germany, Denmark, Belgium, the Netherlands) because of the maturity of the wind turbine market to then expand to the rest of the EU, and eventually to the whole world. According to our forecasts, our turnover will reach €16 million at the end of 2022. We are a woman-led team of 9 people, all with at least a master degree, with complementary expertise in engineering and business.
Display device

This display device has: a substrate; a plurality of pixels provided on the substrate; and a plurality of first inorganic light-emitting elements and a plurality of second inorganic light-emitting elements which are provided to each of the plurality of pixels, wherein the first inorganic light-emitting elements emit first light in the visible light band and the second inorganic light-emitting elements emit second light in the infrared band. The first inorganic light-emitting elements and the second inorganic light-emitting elements each have an anode terminal and a cathode terminal, and among the plurality of second inorganic light-emitting elements, a first potential is supplied to the anode terminals of the second inorganic light-emitting elements for a light source that emit second light, and a second potential having a lower potential level than the first potential is supplied to the cathode terminals. Among the plurality of second inorganic light-emitting elements, the second potential is supplied to the anode terminals of the second inorganic light-emitting elements, for detection that output a signal in response to the emitted second light, and the first potential is supplied to the cathode terminals.
Bayesian Disease Classification Using Copy Number Data

DNA copy number variations (CNVs) have been shown to be associated with cancer development and progression. The detection of these CNVs has the potential to impact the basic knowledge and treatment of many types of cancers, and can play a role in the discovery and development of molecular-based personalized cancer therapies. One of the most common types of high-resolution chromosomal microarrays is array-based comparative genomic hybridization (aCGH) methods that assay DNA CNVs across the whole genomic landscape in a single experiment. In this article we propose methods to use aCGH profiles to predict disease states. We employ a Bayesian classification model and treat disease states as outcome, and aCGH profiles as covariates in order to identify significant regions of the genome associated with disease subclasses. We propose a principled two-stage method where we first make inferences on the underlying copy number states associated with the aCGH emissions based on hidden Markov model (HMM) formulations to account for serial dependencies in neighboring probes. Subsequently, we infer associations with disease outcomes, conditional on the copy number states, using Bayesian linear variable selection procedures. The selected probes and their effects are parameters that are useful for predicting the disease categories of any additional individuals on the basis of their aCGH profiles. Using simulated datasets, we investigate the method's accuracy in detecting disease category. Our methodology is motivated by and applied to a breast cancer dataset consisting of aCGH profiles assayed on patients from multiple disease subtypes.
Eichmann in Jerusalem

Eichmann in Jerusalem. Ein Bericht von der Banalität des Bösen entstand, als Hannah Arendt für die Zeitschrift The New Yorker nach Jerusalem ging, um über den Prozess von Otto Adolf Eichmann zu berichten, der in fünfzehn Anklagepunkten u. a. der Verbrechen an dem jüdischen Volk, der Verbrechen gegen die Menschheit und der Kriegsverbrechen während des Nationalsozialismus und insbesondere während des Zweiten Weltkriegs beschuldigt wurde (EJ 48 f.). Der Prozess fand in einem Gerichtssaal in dem neu erbauten Beth Ha’am, dem Haus des Volkes statt.
Uncovering the pathway of dna-induced autophagy and its biological functions in viral central nervous system infection

Pathogens establish a range of strategies to efficiently infect and persist in their hosts. These mechanisms are as varied as pathogens themselves, which poses many difficulties for fighting infections. A deep understanding of host defense mechanisms is thus crucial for developing innovative therapies. Sensing of pathogen-derived nucleic acids is pivotal for induction of host defense. The adaptor molecule STING plays a central role in this defense and coordinate activation of immune responses. Recent studies showed that cytosolic DNA sensing and subsequent STING activation also leads to induction of autophagy, a degradative pathway involved in metabolic recycling and regulation of infections and immunity. Both STING and autophagy are involved in a range of diseases e.g. infectious and autoimmune diseases, neurodegeneration and cancers. However, the links between STING and autophagy and their regulation of the balance between protective responses and harmful inflammation is elusive. Likewise, the roles of STING-mediated autophagy during viral infections is unknown. Using cutting-edge tools e.g. ImageStream X flow cytometry and genome-editing of human stem cells-derived brain cells using CRISPR/Cas9, PathAutoBIO will decipher the pathway of this novel STING function. We will then combine in vitro and in vivo models of central nervous system viral infection to explore STING-mediated autophagy functions at this unique site, where autophagy and STING are important for viral clearance. We will build upon the expertise of the host lab in DNA sensing, take advantage of unique tools developed for the project, and integrate leading international collaborators. Combined with my strong background in infection cell biology, our work will provide insights on the cross-regulations between autophagy and immunity. This will lead to a broader understanding of mechanisms regulating diseases presenting global threats for societies and will help the design of broad-spectrum therapies.
L2AP: Fast cosine similarity search with prefix L-2 norm bounds

The All-Pairs similarity search, or self-similarity join problem, finds all pairs of vectors in a high dimensional sparse dataset with a similarity value higher than a given threshold. The problem has been classically solved using a dynamically built inverted index. The search time is reduced by early pruning of candidates using size and value-based bounds on the similarity. In the context of cosine similarity and weighted vectors, leveraging the Cauchy-Schwarz inequality, we propose new l2-norm bounds for reducing the inverted index size, candidate pool size, and the number of full dot-product computations. We tighten previous candidate generation and verification bounds and introduce several new ones to further improve our algorithm's performance. Our new pruning strategies enable significant speedups over baseline approaches, most times outperforming even approximate solutions. We perform an extensive evaluation of our algorithm, L2AP, and compare against state-of-the-art exact and approximate methods, AllPairs, MMJoin, and BayesLSH, across a variety of real-world datasets and similarity thresholds.
METHOD AND DEVICE IN TAIL THREADING

The invention relates to a method in tail threading, in which a lead-in strip, tail (T) separated from the edge of a paper web is guided between two elongated mobile means in a paper web conveying machine and transferred forward between these two means along a given portion in the machine direction of the machine. The mobile means are belts (1, 2) between which the tail is transported. The neutral axes (N) of the belts (1, 2) are substantially on the same level.
Methods for estimating the velocities of the Brazil Current in the pre-salt reservoir area off southeast Brazil (23∘ S–26∘ S)

The Brazil Current (BC) is likely the least observed and investigated subtropical western boundary current in the world. This study proposes a simple and systematic methodology to estimate quasi-synoptic cross-sectional speeds of the BC within the Santos Basin (23∘ S–26∘ S) based on the dynamic method using several combinations of data: Conductivity, temperature, and depth (CTD), temperature profiles, CTD and vessel-mounted Acoustic Doppler Current Profiler (VMADCP), and temperature profiles and VMADCP. All of the geostrophic estimates agree well with lowered Acoustic Doppler Current Profiler (LADCP) velocity observations and yield volume transports of -5.56 ±1.31 and 2.50 ±1.01 Sv for the BC and the Intermediate Western Boundary Current (IWBC), respectively. The LADCP data revealed that the BC flows southwestward and is ∼100 km wide, 500 m deep, and has a volume transport of approximately -5.75 ±1.53 Sv and a maximum speed of 0.59 m s−1. Underneath the BC, the IWBC flows northeastward and has a vertical extent of approximately 1,300 m, a width of ∼60 km, a maximum velocity of ∼0.22 m s−1, and a volume transport of 4.11 ± 2.01 Sv. Our analysis indicates that in the absence of the observed velocities, the isopycnal (σ
 0) of 26.82 kg m−3 (∼500 dbar) is an adequate level of no motion for use in geostrophic calculations. Additionally, a simple linear relationship between the temperature and the specific volume anomaly can be used for a reliable first estimate of the BC-IWBC system in temperature-only transects.
The Implementation of DXF Application On Smart Devices

As the mobile devices have powerful CPUs and memories, it is possible to carry the large volumes of design drawings, such as DXF files, on mobile devices. However, since the format of a DXF file is the ASCII, it has the shortcoming where the size of a file is larger than a binary formatted file and it is difficult to display the entities of drawings quickly on mobile devices. In this paper, we design the DXF manager system on a smart phone. To speed up the rate of the display and panning, the DXF manager hires the spatial index, the fixed grid file. We also implement the system on the Samsung Omnia-1 ® to exploit the Windows Mobile ® operating system.
Upscale and optimisation of an olive wastewater treatment photobioreactor (pbr) coupled to algae biomass valorisation as biofertilizer and treated water reuse

Olive oil production uses considerable volumes of water (50L/100kg olives) in European Mediterranean countries where this resource is scarce (Spain, Italy and Greece). The processes used by this sector leads to significant wastewater containing phenols and polyphenols. The EU Legal Framework sets the need of an efficient solution that reduces water use, improves water quality and recycle the waste produced. However the benefit margin of olive oil producers is very low, making production without support uneconomic for farmers. As yet, there are no cost- effective techniques/ technologies for combating this negative environmental impact of this sector. 
BIOT has coordinated two projects within the FP7 SME instrument programme to respond to the need of olive oil producers by offering an optimised biotechnological recycling solution for olive washing wastewater using photobioreactors (PBR).  The technical viability of the process in industrial end use conditions has been sufficiently demonstrated in these two past projects: algatec+ treats olive washing water efficiently so that treated water complies with wastewater legislation, and treated water can be reused. Now, there are still two techno-economic challenges in order to put our product in the market that will be tacked during an eventual SME instrument Phase 2. Reduce the impact of the seasonal nature of this industry on the treatment process that (larger PBR system and increased operation costs of the treatment. 
Therefore, BIOT objective in this proposal is to determine the techno-economic feasibility of transforming algatec+ in a closed-loop system by including two auxiliary services: (1) Open pond pre-treatment and (2) algae biomass valorisation as biofertiliser for the own olive fields. The former will be done by the optimisation of the population of microorganism currently treating wastewater to be later used (after harvesting) as a slow-release biofertiliser.
Mediator Effect of TPM between TQM and Business Performance in Malaysia Automotive Industry

Total Quality Management (TQM) is vital management tool in ensuiing a company
can success in the continuonsly growing competition in the global market. In order to survive
in the global market with intense competition amongst regions and enterprises, the adoption of
tools and techniques are essential in improving business performance. Howe~er, only few
previous studies have examined the mediators and moderators between TQM and business
performance. This present rcsearch proposed a TQM performance model with mediator effect
of TPM with structural equation modelling, which is a more comprehensive model for
developing countries, specifically for Malaysia. A questionnaire was prepared and sent to 1500
companies from automotive industry and the related vendors in Malaysia, giving a 21.3 per
cent rate. The result concludes that TPM is partial mediation between and TQM and Business
Performance with indirect effect (IE) is 0.25 which can be categorised as high mediator effect
Pengaruh struktur modal dan profitabilitas terhadap nilai perusahaan dengan kepemilikan manajerial sebagai pemoderasi pada sektor properti dan real estate yang terdaftar di bei

This study aims to determine the effect of capital structure and profitability of the firm value and managerial ownership in moderate capital structure and profitability of the firm value. This study uses data on property and real estate companies listed on the Indonesia Stock Exchange 2013-2016. The samples in this study using saturation sampling method, the number of observations by 52 sample. The data analysis technique used is Moderated Regression Analysis (MRA) by using SPSS 23. Based on the results of the regression analysis found that the moderation of capital structure and profitability affect to the firm value and managerial ownership able to moderate capital structure proxied by the Debt to Equity Ratio on firm value, while the managerial ownership is not able to moderate profitability is proxied by Return On Assets to the firm value. Keywords: debt to equity ratio, return on assets, managerial ownership, and the value of the company
Adaptation and resilience of Alpine Territories in front of Climate Change

ARTACLIM is a cross-border research-action project with the objective to integrate measures of adaptations to climate change in the territorial planning of local communities 
ARTACLIM answers to clearly expressed needs. 
In front of the importance of climate changing impacts in Mountains, territories try to find a way to adapt themselves. But none cross-border territories have succeeded to a truly adaptation in their public policies, due to the absence of a real method and formal actions. The insufficiency of knowledges and the inefficiency of tools could potentially lead to inaction, or worst, a “wrong adaptation”.   
Aware of this constat and in face of the urgent situation, territories have expressed their needs to develop a better taking in consideration of adaptation strategies in their territorial planning and project for the territory. That’s why, to answer to this problematic, ARTACLIM project has been created. 
The main objectives of ARTACLIM are: 
• Elaborate, test, and validate a methodology and tools facilitating the appropriation of climate changing issues by territories and the definition of a shared adaptation strategy.
• Give the means to the beneficiaries to have sustainable measures and adaptation actions I n the planning, to increase the resilience of the territory.  
• Develop a global methodology reproducible and transferable to other local administrations in ALCOTRA’s area and beyond.