SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Development of a cell-based system for high-throughput screening of antifibrotics

Liver fibrosis (hepatitis B and C, cirrhosis, etc) represents an enormous health burden responsible for ~1.03 millions death per year worldwide according to the World Health Organization. Fibrosis is also a common outcome of many chronic diseases of the kidney (diabetic nephropathy), lungs (idiopathic pulmonary fibrosis), heart and vasculature (heart failure). In pathologies where fibrosis is a feature, there is an increased deposition of extracellular matrix proteins, including collagens that dramatically limit tissue function. Herein we propose to develop a cell-based assay for high-throughput screening of new antifibrotic therapeutics, which will accelerate fibrosis drug development. Our approach consists in the metabolic incorporation of an alkene-tagged proline in the biosynthesis of collagen, followed by labelling with a fluorescent tetrazine. We recently published preliminary results that provide proof of principle for the use of proline derivatives equipped with reactive handles to tag and label collagen structures. However, this approach suffered from nonspecific reactions of the fluorescent probe with intracellular proteins. The level of selectivity conferred by the proposed inverse-electron-demand Diels-Alder reaction is key in enabling its use in cells. We will use hepatic stellate cells since these cells are responsible for excess collagen production during liver fibrosis. To demonstrate that the cellular model can be used to screen compounds for fibrosis we will validate our system using a library of compounds with known preclinical antifibrotic activities. We will test if their in vivo efficacy can be predicted using cells. If our findings are significant we will use this cellular model to screen a commercial available library of compounds to find new antifibrotic drugs. The efficacy of the best candidate will be tested in vivo using two animal models of induced fibrosis.
Minimum density RAID-6 codes

RAID-6 codes protect disk array storage systems from two-disk failures. This article presents a complete treatment of a class of RAID-6 codes, called minimum density RAID-6 codes , that have an optimal blend of performance properties. There are two families of minimal density RAID-6 codes: Blaum-Roth codes and Liberation codes, and a separate special-purpose code called the Liber8tion code. The first of these have been known since the late 1990's, while the latter two are new constructions. In this article, we motivate, demonstrate, and evaluate the minimum density codes, comparing them to EVENODD and RDP codes, which represent the state-of-the-art in RAID-6. Following that, we prove that the codes indeed fit the RAID-6 methodology, and cite their implementation in an open-source library.
Estimation of trade and domestic distortions: an application to world agriculture

The world’s nations often produce commodities for which they have no apparent comparative advantage, and do so with techniques that are not particularly efficient by world standards. These inefficiencies may arise from various forms of trade and domestic distortions, as described in Chau et al., Int Econ Rev 44:1079–1095, (2003). We estimate these distortions for 33 countries of the world using a newly compiled data set. We find that domestic distortions tend to be slightly more important than trade distortions. For the average country, revenues in the agricultural sector would be 26% higher if domestic distortions were eliminated, but 21% higher if trade distortions were eliminated. Our measures of trade and domestic distortions across countries provide a complement to measures of protectionism such as producer subsidy equivalents.
EFFECTS OF CHROMIUM ON PROTEIN AND CARBOHYDRATE LEVELS IN THE MANTLE OF FRESHWATER MUSSEL Anodonta woodiana (Lea, 1834)

&lt;p&gt;Chromium is one of the technical importance metals found in the aquatic environment at increasing concentrations, resulting from metallurgic, refractory, chemical, and tannery in­dustries (Satyaparameshwar et al., 2006). The metal is known to be essential for all animals such as maintenance of normal glucose tolerance (Chassard-Bouchaud et al., 1989). It also involves in metabolisms of lipids, proteins, nucleic acids, and mineral substances (Pechova &amp;amp; Pavlata 2007). At elevated concentrations, chromium is toxic to mussels, resulting in changes of mRNA expression, immunomodulation, DNA stability, and stress response path­ways (Franzellitti et al., 2012). Swan mussels (Anodonta woodiana) living at the interface of the free-flowing water and the sediment phase of many lotic freshwater ecosystems are known to accumulate metals in their body. Mussels require carbohydrates as main energy source for their metabolic processes (Honkoop et al., 1999). Proteins are also required by mussels for catalyzing biochemical reactions, transport and storage of molecules in and out, or within cells, and have structural and mechanical functions (Albert et al., 1994). Proteins and carbohydrates are also important components in the shell formation (Marie et al., 2007; Marin &amp;amp; Luquet 2004). Mantle secretes proteins and carbohydrates into extra pallial fluid, which is directly adjacent to the shell. The objective of this research was to study the effects of Cr on the protein and carbohydrate levels in the mantle of A. woodiana.&lt;/p&gt;
Statistical approach for color image detection

The increased use of color has brought with it new challenges and problems. Recently color image processing has occupied an emerging field of research. Though some of the work has already been done, still there is scope to improve. This paper aims the recognition of the color of the object using a statistical approach. The approach of this paper is first, to find the edge of the image for the region of interest. Region of Interest (ROI) is used for further processing pixel wise. The threshold is determined based on basic statistical method that leads to color recognition of an object. Applying the method of thresholding iteratively over the ROI selected, the recognition of the color of the desired object is performed. The result shows the performance.
Spatial and demographic dynamics of disease transfer at the wildlife-human interface

Infectious diseases present a significant and growing threat to public health, domestic livestock production, and biodiversity conservation. Due to their global distribution and wide-ranging movements, seabirds are important vectors for the spread of pathogens across continents and ocean basins. Coastal seabirds, which associate with and exploit anthropogenic food sources, are particularly likely to interact with human-associated pathogens and zoonotic agents, making them useful candidates for monitoring disease prevalence. However, many factors mediating the interactions between seabirds and pathogens remain unknown or poorly understood. 

Our study will combine targeted field data collection, laboratory analysis, and quantitative modeling to develop a mechanistic understanding of the factors affecting prevalence and transmission of infectious diseases by seabirds at the wildlife-human interface. We will explore spatial and demographic factors affecting exposure and transmission rates for two key zoonotic diseases, toxoplasmosis and avian influenza, by a generalist coastal seabird, the yellow-legged gull (Larus michahellis) in the western Mediterranean basin. Within this study system, we will combine movement analysis using biologging, serological sampling, habitat and demographic analysis, and agent-based models to develop a comprehensive understanding of epidemiological dynamics. We will also use experimental studies to directly test the development of disease immunity in nestling birds and the effects of management actions on disease transfer. We will then apply scenario planning to study the effects of both management and habitat change on disease dynamics. Our results will not only improve understanding of gulls as vectors for infectious agents, but also provide a comprehensive quantitative framework for modeling disease dynamics that can be adapted to predicting and managing the spread of infectious disease at the wildlife-human interface.
Socio-Semantic bubbles of internet communities

SOCSEMICS aims at developing a set of integrated, groundbreaking methods to address the possible existence of so-called “filter bubbles” in the digital public space. In all generality, this phenomenon may be construed as communities whose actors are more or less prone to interaction and open to informations coming from “outside” of these communities. SOCSEMICS will contribute to the formalization and operationalization of this question by addressing three current challenges: (i) developing a comprehensive theory of reinforcing and self-sustaining socio-semantic communities by appraising the social, semantic and socio-semantic realms simultaneously, (ii) drastically improving content analysis by replacing classical distributional approaches with clause analysis, and thereby enabling quantitative analyses which render the linguistic complexity of utterances in web corpuses, (iii) fostering the interface between these methods and qualitative approaches, especially through a couple of broad case studies, together with the development of interactive platforms implementing the above innovations and facilitating digital social research.
Characterization of 241Am and 134Cs bioaccumulation in the king scallop Pecten maximus: investigation via three exposure pathways

In order to understand the bioaccumulation of (241)Am and (134)Cs in scallops living in sediments, the uptake and depuration kinetics of these two elements were investigated in the king scallop Pecten maximus exposed via seawater, food, or sediment under laboratory conditions. Generally, (241)Am accumulation was higher and its retention was stronger than (134)Cs. This was especially obvious when considering whole animals exposed through seawater with whole-body concentration factors (CF(7d)) of 62 vs. 1, absorption efficiencies (A(0l)) of 78 vs. 45 for seawater and biological half-lives (T(b½l)) of 892 d vs. 22 d for (241)Am and (134)Cs, respectively. In contrast, following a single feeding with radiolabelled phytoplankton, the assimilation efficiency (AE) and T(b½l) of (134)Cs were higher than those of (241)Am (AE: 28% vs. 20%; T(b½l): 14 d vs. 9 d). Among scallop tissues, the shells always contained the higher proportion of the total body burden of (241)Am whatever the exposure pathway. In contrast, the whole soft parts presented the major fraction of whole-body burden of (134)Cs, which was generally associated with muscular tissues. Our results showed that the two radionuclides have contrasting behaviors in scallops, in relation to their physico-chemical properties.
The effect of silicon on alleviation of salt stress in borage (<i>Borago officinalis</i>L.)

AbstractThe effects of exogenous silicon (Si) on salt (NaCl)-stressed borage (Borago officinalis L.) plants were investigated in this study. Six levels of Si (0, 0.5, 1, 1.5, 2, 2.5 mM) and two levels of NaCl (0 and 120 mM) were applied to study the effect of NaCl and Si on some physiological, biochemical and anatomical properties of Borago officinalis L. Salt stress reduced fresh and dry weight, protein contents and catalase activity. In contrast, proline, glycine betaine, malondialdehyde and activity of superoxide dismutase and ascorbate peroxidase increased in salt-stressed plants. The results of anatomical study of leaf cross section showed that salt stress resulted in noticeable anatomical variations such as increase in thickness of leaf blade and thickness of palisade parenchyma cells. Other interesting variations in salt stress include changes in structure and numbers of trichome and stomata. Si treatment in comparison with the plants only treated with salt resulted in an improvement in the studied...
Affordable airless packaging system to disrupt the airless packaging market

Airless packaging technology is the solution to a largely unsolved problem: preserving liquid food, cosmetic, pharma, and chemical products after the package has been opened. Airless packaging preserves the protective atmosphere of the package after opening and therefore, it preserves the integrity of the product from air oxidation and bacterial contamination. Ultimately, it extends product’s shelf life, reduces product waste, enables brands to use less or no chemical preservatives and create more natural products.
However, current airless packaging solutions are complex, expensive, and require sophisticated filling machinery, which highly limits its scope of application to a very narrow portion of mostly upscale cosmetic products. 86% of the airless packaging market is constrained to 11% of the packaging market. The largest segments of the packaging market, food, beverages, home care, which represent 89% of the market, only in rare cases benefit from the advantages of airless technologies. 
IVS is a patented sealing system for flexible liquid packaging that enables to deliver the product without any air intake. IVS has all the valuable benefits of airless packaging but it has two further key benefits that may turn it into a breakthrough solution in the market: very low price per unit and low Total Cost of Adoption. IVS is intended to disrupt the airless packaging market by making the airless technology also viable for lower-price products in the largest segments of the packaging market: food, beverages, and home care. 
We plan to launch IVS in the market and we seek to further develop it to a market-ready product. We will use Phase 2 for this purpose, with a total investment of €1 million in 18 months. The overall plan is to commercialize IVS first in Spain and speed scalability at international level through a network of allies and partners. Thanks to this strategy, we expect to reach a turnover of €30 million and 92 employees by year 2024.
EXHAUST GAS PURIFICATION FILTER

An exhaust gas purification filter (1) includes a plurality of cells (11) extending in a filter axial direction (X), a porous partition (12) separating and defining the plurality of cells (11), and a sealing section (13) sealing the plurality of cells (11) alternately at both filter ends. In the exhaust gas purification filter (1), the partition (12) has a void volume of a reduced dale (123), Vvv, and a material volume of a reduced peak (124), Vmp, as volume parameters determined in noncontact surface roughness measurement on a surface of the partition (12), with their total value being 1.8 µm<sup>3</sup>/µm<sup>2</sup> or less.
RuralGrowth - increasing competitiveness of SMEs in the rural visitor economy sector

The innovation of SME’s in rural areas active in the visitor economy will bring a positive change in the rural socio-economic situation. This potential is covered by more than 30% of all SME’s settled in these rural areas. Regions in the project are struggling with scarce employment and business opportunities because of: 1. too strong reliance on traditional activities. 2. weak cross–fertilisation between relevant sectors and stakeholders 3. lack of tools to stimulate SME innovation. Opportunities for boosting rural economies are interlinked with the outstanding natural and cultural assets offering great potentials for attracting visitors. Crucial is the upgrading of hospitality sector SMEs and connected traditional rural activities.
Boosting visitor economy is a means of producing economic benefit for sectors that even indirectly support tourism such as agriculture, processing industry and various services, resulting in creating new local jobs and infrastructure developments. Partners are engaged with the concept of slow tourism, an excellent driver for sustaining vivid local communities and preserving the integrity of the natural environment as well as cultural assets. A sustainable visitor economy not only facilitates the growth and competitiveness of local SMEs but also contributes to all aspects of sustainability.
RG aims at improving policies related to SME development through fostering the uptake of green innovative solutions. It stimulates SME innovation support schemes and provides efficient capacity development for the private players of rural visitor economies. To efficiently enter new markets SME’s need to build cross-overs and new partnerships. The outputs (Action Plans) are linked to the development of SME innovation support schemes (novel products and services, branding and education programmes). Beneficiaries are the visitor economy related SME’s but also the inhabitants in general because of the expected socio-economic impact.
Online path planning for autonomous underwater vehicles in unknown environments

We present a framework for planning collision-free paths online for autonomous underwater vehicles (AUVs) in unknown environments. It is composed of three main modules (mapping, planning and mission handler) that incrementally explore the environment while solving start-to-goal queries. We use an octree-based representation of the environment and we extend the optimal rapidly-exploring random tree (RRT*) using concepts of anytime algorithms and lazy collision evaluation, thus including the capability to replan paths according to nearby obstacles perceived during the execution of the mission. To validate our approach, we plan paths for the SPARUS-II AUV, a torpedo-shaped vehicle performing autonomous missions in a 2-dimensional workspace. We demonstrate its feasibility with the SPARUS-II AUV in both simulation and real-world in-water trials.
Extended Digital Nomenclature Code for Description of Complex Finite Elements and Generation of New Elements

In recent research (Dmitrochenko and Mikkola, 2011), a digital nomenclature code in the form dncm was proposed for a systematic classification of topology of finite elements (given by the dimension d and the number of nodes n ) and their kinematics (described by the number of coordinates per node c and a so-called vectorization multiplier m ). The digital code allows the kinematics of simple finite elements to be enumerated by a few integers; allowing the elements to be reconstructed without the need of their graphical representations. More complicated elements possess a set of nodal coordinates X that formally correspond to some code dncm ; however, their kinematics require that an auxiliary element ( d η ς μ) to be created using different topology η and kinematics ς, μ with a different set of nodal coordinates . Then, a transformation T toward coordinates X leads to an element systematically denoted by code , which is proposed in the current paper and called the extended digital nomenclature code. Examp...
Human lung microbiota and innate immunity

Human lung microbiota research is in its infancy, but has already provided compelling evidence that lung bacteria have key roles in human health. However, how lung bacteria interact with the host immune system and influence lung health is poorly understood. I am an infection biologist and immunologist who carried out his PhD on the human pathogen Staphylococcus aureus. I now aim to investigate the cross-talk between resident lung bacteria and the host immune system. I will focus on the lung microbiota of transplant patients, because different bacterial communities have been associated with different immune states in transplanted lungs indicating that microbiota-host interactions are vital for allograft health. My specific objectives are to (i) establish the first culture collection of primary lung bacterial isolates, (ii) characterize their cross-talk with the immune system, and (iii) analyse underlying mechanisms through a combination of bacterial culturing, cell culture and mouse infection experiments, immune system transcriptomics, comparative genome analysis, and metabolomics. This multidisciplinary approach will be conducted with two research groups at University of Lausanne (Prof. P. Engel and Prof. B. Marsland), which provide a unique scientific environment to carry out this project. None of the proposed objectives has previously been addressed. Thus, the project will provide many novel insights relevant for both basic and applied sciences. I will be able to apply my profound knowledge in infection disease and immunology to an emerging field of microbiota research and transfer my expertise to the host groups. In turn, I will expand my scientific breadth by learning advanced concepts of microbial ecology, acquiring methodological skills in community analysis, genomics, transcriptomics, and metabolomics, and obtaining training in project management and science communication. I envision that this project will present the basis for my future research career.
Integriertes Digitalradio-Modul

Die Erfindung betrifft ein Audio-Unterhaltungssystem, welches eine Primärschaltkreis-Platine mit einem Prozessor aufweist, der mit einem Antenneneingang, einem Audio-Ausgang und einem Verbinder-Bauteil in Verbindung steht. Der Prozessor ist so konfiguriert, dass er gegebenenfalls das Vorhandensein einer digitalen Audioschaltkreis-Platine erkennt und ein Audiosignal, welches auf einem Funksignal beruht, an den Audioausgang ausgibt. Das Funksignal kann ein amplitudenmoduliertes Signal, ein frequenzmoduliertes (Ultrakurzwellen) Signal oder ein digitales satellitenbasiertes Signal sein.
Identification of Transgenic Ingredients in Maize Using Terahertz Spectra

The terahertz (THz) spectra in the 0.2–1.6 THz (6.6–52.8 cm−1) range of various strains of maize grains (MIR162, Bt-11, Mon810, and Jinboshi781) were investigated using a THz time-domain spectroscopy system. Principal component analysis (PCA) was used to extract the feature data based on the cumulative contribution rates (above 95%); the top four principal components were selected, and a support vector machine (SVM) method was then applied. Several selection kernels (linear, polynomial, and radial basis functions) were used to identify the four maize grain types. The results showed that the samples were identified with accuracy of nearly 92.08%; additionally, total positive identification was more than 91.67%, and negative identification reached 93.33%. The proposed approach was then compared with other methods, including principal component regression, partial least squares regression, and backpropagation neural networks. These comparisons showed that the PCA-SVM approach outperformed the other methods and also indicated that the proposed method that combines THz spectroscopy technology with PCA-SVM is efficient and practical for transgenic ingredient identification in maize.
Size-dependent evolution of electronic structure in neutral Pb clusters—As seen by synchrotron-based X-ray photoelectron spectroscopy

Neutral Pb clusters in the size range from a few tens of atoms up to similar to 100 atoms are studied using synchrotron-based photoelectron spectroscopy. The electronic structure is seen to differ increasingly from that of the solid when the cluster size decreases. The valence band narrows gradually - down to about one fifth of the solid-state band width at the smallest size of few tens of atoms. Simultaneously the Fermi-edge energy shifts further away from the solid value by more than 2 eV. The Pb 5d core level binding energy also increases and the spectral features broaden and change in shape. The changes observed for the valence and for the 5d response energies and shapes are discussed in the context of the metal-to-insulator transition observed earlier in Pb clusters below the critical size of 20-30 atoms/cluster. (C) 2014 Elsevier B.V. All rights reserved.