SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Value intellectual property for smes

The main goal of the VIP4SME project is to sustainably enhance Intellectual Property (IP) support services to SMEs in order to allow them to understand the value of the intellectual capital they create and own, and to define strategies and management practices allowing them to better turn this capital into commercial values and competitiveness. This challenge will be jointly addressed by 31 National Intellectual Property Offices (NIPOs) from EU member states and countries participating in Horizon2020 together with 22 local partners working in close cooperation with NIPOs and which are mostly business support providers (BSPs) having easy access to their local SMEs. Synergies with other IP stakeholders and especially international organisations (EPO, OHIM, Benelux Office for Intellectual Property, WIPO) will be created. Training contents, tools and IP support services specifically designed and corresponding to identified needs of SMEs will be adapted or newly created, managed and made available to all project partners, in order to serve the improvement of IP support in all participating countries. Through an implementation plan, defining quantitative objectives for each country, and a project organisation supporting all participants in the practical implementation of new IP training and IP services, it will be ensured that at least 3,500 SMEs will be reached by high value IP support activities. Communication activities, including via the joint innovaccess.eu website, will be either targeted toward the diffusion of specific information such as cross-boarder IP information and other relevant information on the business use of IP, or toward promotion of the services and activities made available by the VIP4SME project and benefiting directly SMEs.
Inhouse workflow for single-stage, indirect restorations.

The digital inhouse workflow consists of the components optical impression, computer-aided design (CAD) and machine manufacturing. In the sense of a time-optimized workflow, coordinated, closed systems prove to be the better solution. The company 3Shape (Copenhagen, Denmark) started with the existing Trios Intraoral Scanner and added both the software component Trios Design Studio and a number of 'trusted connection mills.' In combination with a collection of 'trusted materials,' a fast workflow with high clinical safety can ultimately be guaranteed. In order for a single-stage in-house restoration to be successfully completed, it is advisable to carry out thorough diagnostics and pretreatment; prepare the restoration by machine with a clear representation of the margin lines; organise the manufacturing process in a competent manner; and use an adhesive, target-oriented fastening strategy. Individual sections of the workflow can be delegated to specially and comprehensively trained medical staff. The increasing networking of digital processes creates very useful synergy effects such as the visualization of possible therapy results, follow-up, smile design, and the planning of implant restorations. A clinical case of a single-stage, in-house restoration with three posterior crowns is presented.
Immune Checkpoint Inhibitors in Cancer Therapy

The discovery of immune checkpoint proteins such as PD-1/PDL-1 and CTLA-4 represents a significant breakthrough in the field of cancer immunotherapy. Therefore, humanized monoclonal antibodies, targeting these immune checkpoint proteins have been utilized successfully in patients with metastatic melanoma, renal cell carcinoma, head and neck cancers and non-small lung cancer. The US FDA has successfully approved three different categories of immune checkpoint inhibitors (ICIs) such as PD-1 inhibitors (Nivolumab, Pembrolizumab, and Cemiplimab), PDL-1 inhibitors (Atezolimumab, Durvalumab and Avelumab), and CTLA-4 inhibitor (Ipilimumab). Unfortunately, not all patients respond favourably to these drugs, highlighting the role of biomarkers such as Tumour mutation burden (TMB), PDL-1 expression, microbiome, hypoxia, interferon-γ, and ECM in predicting responses to ICIs-based immunotherapy. The current study aims to review the literature and updates on ICIs in cancer therapy.
Covomo: europe’s user-generated insurance platform

Covomo is a specialised insurance platform providing plans based on on-demand user-generated content. 

Covomo offers end-users the ability to insure the things they care about. Not to be constricted by pre-determined plans that don't cover the scenarios or objects deemed most important. The platform compares coverage plans from several insurers instantaneously, providing an objective and easy-to-purchase platform over mobile or web.
Covomo’s latest expansion to offer all forms of specialised insurance was based on the success of Covomo’s original travel insurance comparator service. It had gained exceptionally positive traction, and importantly, an overwhelming response by brokerage organisations to expand to varying categories of specialised insurance. The current prototype platform has already received positive feedback and solid support from over 40 multi-national European insurers and over 275 European brokerages. 

The proposed work in Phase 1 of the SME instrument fits into the overall plan to reach market by contributing the financial resources needed to plan a faster and wider deployment of Covomo and its market uptake, in the go-to market countries of Germany, France and Belgium.
Scribal science: naturalists' paper empire in france ca. 1660-1770

SCRIBSCIE seeks to understand the place of scribal practices and manuscript artefacts in the work of French naturalists between ca. 1660 and 1770, and especially their role in these scholars’ effort to gather a knowledge of the wider world’s nature. The aim is to measure the vibrancy of scholarly scribal labor in the age of print and well beyond epistolary exchanges. My overarching hypothesis is that manuscript culture shaped the ill-defined intellectual and social contours of both natural history and the naturalist’s persona, not the least in their global and imperial dimension: making and managing manuscript records of observations and data were imperial gestures through and through. In charting the hidden stories of taken-for-granted artefacts such as field notes, excerpt notebooks, plant catalogs, and sketches, as well as quotidian gestures such as notetaking, listing, drawing, arranging papers into folders, and moving archives from one location to another, this project asks about the social, political, and cultural implications of European scholars’ working methods at home and abroad in a context of colonial expansion. Mining principally the exciting and virtually untapped holdings of the Muséum national d’histoire naturelle (MNHN) in Paris, the project fits particularly well the first major professional objective of this action, namely to develop my career as an independent historian of science with a strong expertise in museum and library curatorship. This last aspect in particular will be achieved through close collaboration with the MNHN and a secondment to Università di Bologna: such trans-sectorial transfer of expertise will materialize in a workshop, a special issue, and an exhibition. The second major professional goal is strengthening my experience in the organization of scientific and broad-public events, which will be attained by coordinating an international conference, a second special issue, and a graduate seminar.
4Dspace: integrated study for space weather at high latitudes

Ionosphere is the partially ionized, outermost part of the Earth’s atmosphere. Its dynamics is inherently complex and affected by dynamic conditions in the solar wind. In the polar regions, it is directly coupled to the Earth’s magnetosphere and space plasma. The polar ionosphere is subject to the auroral particle precipitation, instabilities and turbulence, which all influence the energy transfer through the ionosphere and lead to plasma density irregularities which lead to scintillations of trans-ionospheric radio signals. Irregularities span over a large range of scales, from thousands of kilometers down to centimeters, making their investigation a highly challenging task.  The state of ionosphere at high latitudes is a crucial aspect of the space weather, which has important impact on today’s society, in particular in the context of increasing shipping, aviation, and other operations in the Arctic. Understanding processes in the polar ionosphere, their technological impacts, and laying foundations for robust models for forecasting space weather effects are one of the major goals in space science. This project will determine the role of auroral particle precipitations and geomagnetic activity for the development of plasma irregularities at high latitudes, and their impacts on the global navigation satellite systems. Through an integrated approach, combining in-situ measurements by sounding rockets with novel multi-payloads, cutting-edge numerical simulations, and statistical studies with ground- and satellite-based observations at both hemispheres, it will provide groundbreaking understanding of plasma irregularities in the polar ionosphere, give insight into the energy transfer in the ionosphere, and lay foundations for the space weather models that will improve security of operations in the polar regions. The project is across scientific domains: it deals with the Earth’s Ionosphere, the near-Earth space environment, and fundamental processes in plasma physics.
Fuzzy classification of roof fall predictors in microseismic monitoring

Abstract Microseismic monitoring involves placing geophones on the rock surfaces of a mine to record seismic activity. Classification of microseismic mine data can be used to predict seismic events in a mine to mitigate mining hazards, such as roof falls, where properly bolting and bracing the roof is often an insufficient method of preventing weak roofs from destabilizing. In this study, six months of recorded acoustic waveforms from microseismic monitoring in a Pennsylvania limestone mine were analyzed using classification techniques to predict roof falls. Fuzzy classification using features selected for computational ease was applied on the mine data. Both large roof fall events could be predicted using a Roof Fall Index (RFI) metric calculated from the results of the fuzzy classification. RFI was successfully used to resolve the two significant roof fall events and predicted both events by at least 15 h before visual signs of the roof falls were evident.
Determination of intracellular sulphydryl compounds by microchip electrophoresis with selective chemiluminescence detection

An analytical method based on microchip electrophoresis (MCE) and chemiluminescence detection (CL) was developed for the determination of intracellular sulphydryl compounds. Cell injection/loading, cytolysis, electrophoretic separation, and CL detection were integrated onto a simple cross-microfluidic chip. Selective CL detection of sulphydryl compounds was achieved by deploying the luminol-Na(2)S(2)O(8) reaction. Under the CL conditions selected, many endogenous compounds in biological systems such as amino acids, biogenic amines, peptides and proteins did not produce any CL signal, which further ensured a high selectivity of the proposed MCE-CL assays. Sulphydryl compounds including cysteine (Cys), glutathione (GSH), and hemoglobin (Hb) were selected as the test compounds. The MCE separation was completed within 120s. The detection limits were estimated to be 7amol for Cys, 32amol for GSH and 69amol for Hb, respectively. The present method was applied to analyze individual red blood cells collected from both healthy subjects and cancer patients. It was found that the average intracellular contents of Cys, GSH and Hb were in the ranges of 26-43amol/cell, 128-323amol/cell and 522-667amol/cell, respectively for cancer patients, compared to 579-609amol Hb/cell and not detectable Cys and GSH for healthy subjects.
Plant Density and Leaf Area Index Effects on the Distribution of Light Transmittance to the Soil Surface in Maize

The solar corridor concept examines approaches to better use light in row crops. To achieve this goal, an understanding of the diel patterns of light transmittance to the soil surface in the interrow zone in row crops is necessary. The objective of this study was to investigate the temporal and spatial distribution of light transmittance to the soil surface at different row positions. Light data and leaf area of maize (L.) were collected over a period of 2 yr to quantify the spatial distribution of light transmittance to the soil surface under different plant and canopy densities. Leaf area index (LAI) was varied by using two different plant densities and a range of N applications. Photosynthetically active radiation (PAR) was measured using quantum line sensors at three to seven row positions depending on row spacing (0.78 and 0.36 m). Light transmittance to the soil surface varied by position within the row and time of day. The variation was greatest for low N and low plant density spacing treatments. On cloudy days with more diffuse light the variation in light transmittance between the within and row positions was less. Light extinction coefficients decreased as solar elevation increased toward midday. The wide variation in light transmittance to the soil surface in the interrow zone points out the need to manage plant and management properties such as leaf area, plant density, and row spacing to take best advantage of light in the solar corridor.
FEDER-EE: dormakaba 2022

No futuro projeto DK22, serão desenvolvidas novas soluções no campo de MKS e chaves de cilindros de cópia-seguro, bem como novos materiais e processos de produção no campo da fabricação.
Upcycle waste plastics to magnetic carbon materials for dye adsorption from polluted water

Here, we report an efficient method for the transformation of waste car bumpers into mesoporous magnetic carbon material. Nearly 25 wt% of polypropylene was transformed into carbon material when an optimized amount of catalysts was introduced into the bumper composite. In addition, due to the presence of Fe and Co nanoparticles, the carbon nanomaterial exhibits magnetic properties. The obtained product was used as an effective adsorbent for the removal of dye pollutants from water – nearly 100% of rhodamine B (RhB) and methylene blue (MB) can be efficiently removed from an aqueous solution in a short duration. Furthermore, benefiting from their strong saturation magnetization, the obtained carbon materials can be easily separated from the solution by a magnet and reused multiple times. Based on the experimental results, the proposed route can pave a way to recycle waste plastics to provide large amounts of highly valuable carbon products in the future.
Working into a “B” Language. Pitfalls, tips and tricks

This research paper focuses on simultaneous interpreting into a “B” language, a mode of interpreting which has become increasingly common in interpreting markets worldwide. We attempt to analyze the features of this mode of interpreting and to establish differences and similarities between cognitive processes of SI when working into an “A” language versus working into a “B” language. For this purpose, we describe and analyze the evolution of interpreting into a “B” language, features in bilingualism, differences and similarities between bilinguals and interpreters, cognitive process involved in simultaneous interpreting, advantages and disadvantages of interpreting into a “B” language and strategies for this specific mode of interpreting. The conclusions of this research have a two-fold aim: to provide a general perspective of what interpreting into a “B” language is and to offer material for teachers to be able to design exercises in light of the strategies they wish their students to hone when training for this mode of interpreting.
Hydrogenation of lactic acid to propylene glycol over a carbon-supported ruthenium catalyst

Abstract Catalytic hydrogenation of lactic acid to propylene glycol is performed in a high-pressure batch reactor over ruthenium on various carbon supports (i.e., VulcanXC-72, ketjen black, CNTs, CNFs, and graphite) prepared using the incipient wetness impregnation method. The crystallinity of the synthesized catalyst is investigated via X-ray diffraction, and the particle sizes are determined using transmission electron microscopy. The surface areas of the synthesized catalysts are analyzed using the BET method; the catalytic activity correlates remarkably with the BET surface area. The yield of propylene glycol increases with pressure, and the highest yield is achieved at 130 °C. The catalytic activity is strongly dependent on the type of support. Among the catalysts tested, Ru on ketjen black shows the highest yield of propylene glycol.
Comparative transcriptome analysis of pigeonpea, Cajanus cajan (L.) and one of its wild relatives Cajanus platycarpus (Benth.) Maesen

Pigeonpea is a major source of dietary protein to the vegetarian population of the Indian sub-continent. Crop improvement to mitigate biotic and abiotic stresses for realization of its potential yield and bridging yield gap is the need of the hour. Availability of limited genomic resources in the cultivated germplasm, however, is a serious bottleneck towards successful molecular breeding for the development of superior genotypes in pigeonpea. In view of this, improvement of pigeonpea can be attempted through transgenesis or by exploiting genetic resources from its wild relatives. Pigeonpea wild relatives are known to be bestowed with agronomic traits of importance; discovery and deployment of genes from them can provide a lucrative option for crop improvement. Understanding molecular signatures of wild relatives would not only provide information about the mechanism behind desired traits but also enable us to extrapolate the information to cultivated pigeonpea. The present study deals with the characterization of leaf transcriptomes of Cajanus cajan and one of its wild relatives, Cajanus platycarpus. Illumina sequencing revealed 0.11 million transcripts in both the species with an annotation of 0.09 million (82%) transcripts using BLASTX. Comparative transcriptome analyses on the whole, divulged cues about the wild relative being vigilant and agile. Gene ontology and Mapman analysis depicted higher number of transcripts in the wild relative pertaining to signaling, transcription factors and stress responsive genes. Further, networking between the differentially expressed MapMan bins demonstrated conspicuous interactions between different bins through 535 nodes (512 Genes and 23 Pathways) and 1857 edges. The authenticity of RNA-seq analysis was confirmed by qRT-PCR. The information emanating from this study can provide valuable information and resource for future translational research including genome editing to alleviate varied stresses. Further, this learning can be a platform for in-depth investigations to decipher molecular mechanisms for mitigation of various stresses in the wild relative.
[Hesperetin attenuates angiotensin II-induced collagen expression in cardiac fibroblasts in vitro].

To explore the effect of hesperetin (HES) on collagen expression in cardiac fibroblasts in vitro induced by angiotensin II (AngII).Cell growth was determined by trypan blue staining, reactive oxygen species (ROS) generation by microplate reader, the expressions of collagen I,III and matrix metalloproteinase 1 (MMP-1) by real-time polymerase chain reaction (PCR) and cell proliferation by cell counting kit-8.HES and AngII+HES had no effect on cellular activity. AngII significantly increased ROS generation (1.70 ± 0.12 vs 1, P < 0.01), gene expression of collagen I,III both increased (1.31 ± 0.08 vs 1, 1.40 ± 0.09 vs 1, both P < 0.01) while MMP-1 decreased (0.68 ± 0.03 vs 1, P < 0.01). Ang II also induced the proliferation of fibroblasts (1.91 ± 0.18 vs 1, P < 0.01). While HES (25, 50, 100 µmol/L) or NAC (1 mmol/L) reversed these effects during co-treating with AngII, ROS decreased versus the Ang II group(1.37 ± 0.05, 1.16 ± 0.08, 1.07 ± 0.07, 1.12 ± 0.07 vs 1.70 ± 0.12, all P < 0.01) , gene expression of collagenI,III also decreased (1.22 ± 0.08 and 1.27 ± 0.07, 1.14 ± 0.07 and 1.00 ± 0.06, 1.02 ± 0.06 and 0.99 ± 0.05, 1.08 ± 0.07 and 1.09 ± 0.06 vs 1.31 ± 0.08 and 1.40 ± 0.09, all P < 0.01), MMP-1 increased (0.76 ± 0.05, 0.88 ± 0.07, 1.01 ± 0.08, 0.96 ± 0.07 vs 0.68 ± 0.03, P < 0.01) versus the Ang II group. Cell proliferation was also inhibited (1.42 ± 0.07, 1.38 ± 0.03, 1.07 ± 0.15, 1.16 ± 0.11 vs 1.91 ± 0.18, all P < 0.01). NAC had the same effect with HES.HES inhibits the synthesis of collagen and the Ang II-induced proliferation of fibroblast through suppressing the ROS generation.
New cross-border connections in the San Bernardo Space

The crisis induced by Covid-19 has seriously affected the economy and families of the San Bernardo Cross-Border Area, especially in the winter season.
In Valle d'Aosta and Savoie, 70% of tourism enterprises have suffered a loss of more than 50% without public measures being able to limit the impact.
During the winter of 2020-2021, marked by restrictions, a new potential for cross-border connections, requests for trekking, mountain biking or ski mountaineering, both sports and cross-border travel and tourism has emerged.
They can be an opportunity for recovery, able to attract tourists all year round. They are in line with the sustainability objectives of the SUERA Manifesto of 12 June 2021.
Faceboxes: A CPU real-time and accurate unconstrained face detector

Abstract Although tremendous strides have been made in face detection, one of the remaining open issues is to achieve CPU real-time speed as well as maintain high performance, since effective models for face detection tend to be computationally prohibitive. To address this issue, we propose a novel face detector, named FaceBoxes, with superior performance on both speed and accuracy. Specifically, the proposed method has a lightweight yet powerful network that consists of the Rapidly Digested Convolution Layers (RDCL) and the Multiple Scale Convolution Layers (MSCL). The former is designed to enable FaceBoxes to achieve CPU real-time speed, while the latter aims to enrich the features and discretize anchors over different layers to handle faces of various scales. Besides, we propose a new anchor densification strategy to make different types of anchors have the same density on the image, which significantly improves the recall rate of small faces. Finally, we present a Divide and Conquer Head (DCH) to boost the prediction ability of the detection layer using above strategy. As a consequence, the proposed detector runs at 28 FPS on the CPU and 254 FPS using a GPU for VGA-resolution images. Moreover, the speed of FaceBoxes is invariant to the number of faces. We evaluate the proposed method on several face detection benchmarks including AFW, PASCAL face, FDDB, WIDER FACE and achieve state-of-the-art performance among CPU real-time methods.
The impact of Macro economic climate volatility on employment growth

China's complex economic background and demographic background lead to employment elasticity and Okun's Law can not reflect the relationship between economic growth and employment in China,and can not describe the impact of economic fluctuations on employment. In this paper,we consider the impact of economic fluctuations to employment growth in the three paths:labor supply,labor demand and the government to create employment. We design three systems model,to find out long-term equilibrium relationship between economic fluctuations and employment growth,and the lagged impact effects. In the labor supply system,the economic fluctuations of the economically active population increased,employment growth has accelerated; in labor demand system,the economic volatility is not conducive to economic growth and demand for labor is not conducive to growth; employment promotion system in government,social security and employment inputs to ease the economic impact of fluctuations on employment growth.