SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Improving health services to prevent heart attacks and strokes: evidence for interventions (e4i) in large middle-income countries

Largely due to the ageing of their populations and changing lifestyles, middle-income countries (MICs) are facing a rapidly increasing burden of heart attacks and strokes. Most of these cardio- and cerebrovascular disease (CCVD) events are preventable through successful treatment of three major risk factors: diabetes, dyslipidaemia, and hypertension. Yet despite the existence of inexpensive and effective medications, only a small minority of adults with these risk factors in MICs successfully transition through the care continuum from screening to effective treatment. There is currently little to no evidence from these settings on what health services interventions are most effective in reducing the loss of patients along the CCVD risk factor care continuum. Focussing on the four most populous MICs – which jointly account for 43% of the world’s population – E4I thus aims to i) determine at which of the main steps in the care continuum – screening, linkage to care, and retention in care – the greatest loss of patients occurs; ii) establish which health services interventions have been most effective in reducing the loss of patients at each of these three care steps; and iii) ascertain the causal effect of reducing the loss of patients along the care continuum on individuals’ health and economic outcomes. To do so, E4I will use novel causal inference techniques from different academic disciplines on large population-based cross-sectional and cohort datasets with jointly over seven million participants, challenging the frequently-held beliefs in public health that only randomised trials can provide causal effect estimates and that cohort data’s principal value is the study of disease aetiology. By generating urgently needed knowledge on how to more effectively deliver proven treatments for a major public health problem in MICs, E4I will decisively advance public health research and has the potential to have an important impact on population health globally.
Machine learning for scalable meteorology and climate

To develop Europe’s computer architecture of the future, MAELSTROM will co-design bespoke compute system designs for optimal application performance and energy efficiency, a software framework to optimise usability and training efficiency for machine learning at scale, and large-scale machine learning applications for the domain of weather and climate science.

The MAELSTROM compute system designs will benchmark the applications across a range of computing systems regarding energy consumption, time-to-solution, numerical precision and solution accuracy. Customised compute systems will be designed that are optimised for application needs to strengthen Europe’s high-performance computing portfolio and to pull recent hardware developments, driven by general machine learning applications, toward needs of weather and climate applications.

The MAELSTROM software framework will enable scientists to apply and compare machine learning tools and libraries efficiently across a wide range of computer systems. A user interface will link application developers with compute system designers, and automated benchmarking and error detection of machine learning solutions will be performed during the development phase. Tools will be published as open source.

The MAELSTROM machine learning applications will cover all important components of the workflow of weather and climate predictions including the processing of observations, the assimilation of observations to generate initial and reference conditions, model simulations, as well as post-processing of model data and the development of forecast products. For each application, benchmark datasets with up to 10 terabytes of data will be published online for training and machine learning tool-developments at the scale of the fastest supercomputers in the world. MAELSTROM machine learning solutions will serve as blueprint for a wide range of machine learning applications on supercomputers in the future.
Breaking down arenavirus cell entry

Hemorrhagic fever viruses are serious human threats for which we don’t have adequate treatments available, which is painfully highlighted by the current Ebola virus outbreak in Western Africa. These viruses are obligatory intracellular parasites that make use of the host machinery at every phase of their infection cycle. Virus attachment and entry are the initial steps, which requires engagement of a viral glycoprotein with a cell surface receptor. This interaction then triggers internalization of the virus particle via a Trojan horse-like vesicular pathway, eventually resulting in the release of the viral genome into the cytoplasm of the target cell. We have recently shown that cell entry of at least some hemorrhagic fever viruses (i.e. Ebola virus and Lassa virus) is even more sophisticated, as it requires triggered-recognition of an intracellular receptor as an unexpected additional step. A precise understanding of how these major pathogens enter cells is required to reveal the mechanisms by which they cause disease. In this application, I will combine targeted engineering of viral systems with a genomics approach that enables crystal-clear, yeast-like genetics in human cells. Focusing on arenaviruses, these genome-wide surveys will reveal host factors indicative of virus entry tactics never observed before. I will use biochemistry, microscopy, and cell biological assays to examine in detail the virus-host interplay with these factors and will identify promising new antiviral targets for arenavirus family members that cause human disease. Overall, I foresee that this project will provide a much-needed window on the unique cell entry strategies of these lethal pathogens, which thus far revealed a surprising diversity in the biological host networks being hijacked to establish infection.
Making Sense of Non-compliance: A Semiotic Approach

Compliance is an important aspect of operational requirements, and is essential to have a system that allows for compliance to be monitored, managed and improved. However, why non-compliance occurs in organisations is not always well understood. This paper proposes that the semiotic approach can aid in making sense of non-compliance behaviour by analysis of the actions of the agents. In particular, the organisational containment analysis highlights the division between informal and formal treatment of compliance. It also indicates that the established norms which are as a result of rules, regulations, beliefs and other patterns can influence behaviour. The paper proposes that these norms and patterns constitute the culture and beliefs of the organisation and determines how the agents embrace rules and regulations. An example of analysing compliance using the semiotic approach is presented using a case study of non-compliance to the quality management system at NHS Blood and Transplant (NHSBT).
Cepharanthine Improves Renal Ischemia-Reperfusion Injury in Rats

Acute renal damage has numerous causes, including renal ischemia-reperfusion injury. Due to its diverse actions, cepharanthine is used to treat many acute and chronic diseases, including pit viper bites, alopecia areata, and leucopenia in radiation therapy. In this study, we examined whether cepharanthine provides a renal-protective effect in a renal ischemia-reperfusion model.Male Wistar rats were divided into four groups that received the following treatments: induction of renal ischemia-reperfusion (I/R group); subcutaneous injection of cepharanthine (10 mg/kg) followed 1 h later by induction of renal ischemia-reperfusion (Cepha + I/R group); subcutaneous injection of cepharanthine (10 mg/kg) (Cepha group); and subcutaneous injection of saline followed 1 h later by sham treatment (control group). Rats were sacrificed 24 h after renal ischemia-reperfusion or sham treatment. Serum blood urea nitrogen (BUN) and creatinine (Cre) concentrations were determined, histologic examination was performed, and oxidative stress was evaluated in kidney tissue. In addition, antimycin A (AMA)-stimulated RAW264.7 cells were treated with cepharanthine to determine its antioxidant effects.Serum BUN and Cre levels were increased in the I/R group; however, these increases were significantly inhibited in the Cepha + I/R group. Similarly, kidney tissue damage observed in the I/R group was attenuated in the Cepha + I/R group. In vitro, cells treated with both cepharanthine and AMA showed reduced reactive oxygen species activity compared with cells treated with AMA alone.Our findings suggest that cepharanthine may be effective in the treatment of various types of ischemia-reperfusion injuries.
Novel mitochondria-targeted therapies for cancer treatment-induced cardiotoxicity

Cardiac toxicity is one of the most frequent serious side effects of cancer therapy, affecting up to 30% of treated patients. Cancer treatment-induced cardiotoxicity (CTiCT) can result in severe heart failure. The trade-off between cancer and chronic heart failure is an immense personal burden with physical and psychological consequences. Current therapies for CTiCT are suboptimal, featuring poor early detection algorithms and nonspecific heart failure treatments. Based on our recently published results and additional preliminary data presented here, we propose that CTiCT is associated with altered mitochondrial dynamics, triggering a cardiomyocyte metabolic reprogramming. MATRIX represents a holistic approach to tackling mitochondrial dysfunction in CTiCT. Our hypothesis is that reverting metabolic reprogramming by shifting mitochondrial substrate utilization could represent a new paradigm in the treatment of early-stage CTiCT. By refining a novel imaging-based algorithm recently developed in our group, we will achieve very early detection of myocardial damage in patients treated with commonly prescribed cancer therapies, long before clinically used parameters become abnormal. Such early detection, not available currently, is crucial for implementation of early therapies. We also hypothesize that in end-stage CTiCT, mitochondrial dysfunction has passed a no-return point, and the failing heart will only be rescued by a strategy to replenish the myocardium with fresh healthy mitochondria. This will be achieved with a radical new therapeutic option: in-vivo mitochondrial transplantation. The MATRIX project has broad translational potential, including a new therapeutic approach to a clinically relevant condition, the development of technology for early diagnosis, and advances in knowledge of basic disease mechanisms.
Interaction of photosensitive surfactant with DNA and poly acrylic acid

In this paper, we investigate interactions and phase transitions in polyelectrolyte-surfactant complexes formed between a cationic azobenzene-containing surfactant and two types of polyelectrolytes: natural (DNA) or synthetic (PAA: poly acrylic acid). The construction of a phase diagram allowed distancing between four major phases: extended coil conformation, colloidally stable compacted globules, colloidal instability range, and surfactant-stabilized compact state. Investigation on the complexes' properties in different phases and under irradiation with UV light provides information about the role of the surfactant's hydrophobic trans isomers both in the formation and destruction of DNA and PAA globules as well as in their colloidal stabilization. The trans isomer shows much stronger affinity to the polyelectrolytes than the hydrophilic cis counterpart. There is no need for complete compensation of the polyelectrolyte charges to reach the complete compaction. On contrary to the findings previously reported in the literature, we demonstrate - for the first time - complete polyelectrolyte compaction which occurs already at 20% of DNA (and at 50% of PAA) charge compensation. The trans isomer plays the main role in the compaction. The aggregation between azobenzene units in the photosensitive surfactant is a driving force of this process. The decompaction can be realized during UV light irradiation and is strongly influenced by the interplay between surfactant-surfactant and surfactant-DNA interactions in the compacted globules.
Patch Similarity Modulus and Difference Curvature Based Fourth-Order Partial Differential Equation for Image Denoising

The traditional fourth-order nonlinear diffusion denoising model suffers the isolated speckles and the loss of fine details in the processed image. For this reason, a new fourth-order partial differential equation based on the patch similarity modulus and the difference curvature is proposed for image denoising. First, based on the intensity similarity of neighbor pixels, this paper presents a new edge indicator called patch similarity modulus, which is strongly robust to noise. Furthermore, the difference curvature which can effectively distinguish between edges and noise is incorporated into the denoising algorithm to determine the diffusion process by adaptively adjusting the size of the diffusion coefficient. The experimental results show that the proposed algorithm can not only preserve edges and texture details, but also avoid isolated speckles and staircase effect while filtering out noise. And the proposed algorithm has a better performance for the images with abundant details. Additionally, the subjective visual quality and objective evaluation index of the denoised image obtained by the proposed algorithm are higher than the ones from the related methods.
Lap – Strengthening the test capacity of patients infected with COVID-19

This project aims to realise the investment necessary to enable LAP the necessary equipment to enhance its ability to carry out tests for clinical diagnosis of infection by SARS-CoV-2 virus, ensuring a test capacity of more than 4 thousand tests per day.
Reconnaissance of the effects of the M7.8 Gorkha (Nepal) earthquake of April 25, 2015

The M7.8 earthquake of 25th April, 2015 caused widespread damage in the Nepal region by destroying many residential, public, religious and cultural heritage buildings and roads due to intense shaking, surface fissures and landslides. This earthquake provided an opportunity to study the vulnerability of the built environment and reassessment of the risk exposure of the region. The reconnaissance trip was aimed at surveying the Kathmandu valley region in Nepal and adjoining districts of Bihar state in India due to their high population density and rapid urbanization. The observed damage in Kathmandu and the northern districts of Bihar were consistent with the intensity reported in these regions. Complete collapse was observed in RC buildings and old unreinforced masonry buildings due to inherent structural defects in regions of MM intensity VIII and IX. Significant number of cultural heritage structures suffered partial to complete collapse. These observations provide a perspective on the widespread lack of...
MECHANICALLY EXPANDABLE HEART VALVE

In one embodiment, a prosthetic valve assembly includes an annular frame being radially expandable and compressible between a radially compressed configuration and a radially expanded configuration, a valvular structure comprising a plurality of leaflets mounted inside the annular frame, a plurality of posts mounted on an interior surface of the annular frame, and a pair of commissure attachment members extending outwardly from each post and away from each other. Each two adjacent leaflets can form a pair of commissure tabs. Each pair of commissure tabs can be attached to a corresponding pair of the commissure attachment members.
A Numerical Method for Discrete Single Barrier Option Pricing with Time-Dependent Parameters

In this article, the researchers obtained a recursive formula for the price of discrete single barrier option based on the Black---Scholes framework in which drift, dividend yield and volatility assumed as deterministic functions of time. With some general transformations, the partial differential equations (PDEs) corresponding to option value problem, in each monitoring time interval, were converted into well-known Black---Scholes PDE with constant coefficients. Finally, an innovative numerical approach was proposed to utilize the obtained recursive formula efficiently. Despite some claims, it has considerably low computational cost and could be competitive with the other introduced method. In addition, one advantage of this method, is that the Greeks of the contracts were also calculated.
Quantification and reproducibility assessment of the regional brain <i>T</i> <sub>2</sub> relaxation in naïve rats at 7T

To measure the reproducibility of T2 relaxation and to determine the statistical power of T2 mapping in the rat brain as a characteristic of the baseline performance of the T2 relaxation as a potential biomarker of neurotoxicity.Multislice multiecho spin-echo imaging was utilized to obtain the quantitative T2 maps in 138 naïve rats at 7T. Images were skull-stripped and coregistered to the common anatomical reference. A full anatomical segmentation mask, which included all major brain structures, was created using the same reference T2 map. The overall variability map was also calculated from all T2 maps and the areas with arbitrarily high variability (coefficient of variation >25%) were excluded from the full segmentation mask to produce a trimmed mask. T2 maps were segmented using both these masks and statistical power analysis was conducted in all segmented areas.The coefficient of variation of T2 relaxation in different brain areas varied from 5.4% (cerebrospinal fluid) to 1.2% (cortex) when using a full segmentation mask. The use of a trimmed segmentation mask decreased the coefficient of variation in many areas, which ranged between 3.2% (inferior colliculi) and 1.2% (cortex) in this case. As revealed by statistical power analysis to detect 5% change with power of 0.8, the minimum number of observations needed for different areas ranged from 3 (cortex) to 8 (inferior colliculi) in the case of use of a trimmed segmentation mask.T2 relaxation is a very reproducible MRI parameter of the rat brain with high statistical power, which allows detecting very small changes in groups consisting of a minimal number of experimental animals.1 J. Magn. Reson. Imaging 2017;45:700-709.
Stances toward education in multilingual contexts

Stances Toward Education in Multilingual Contexts (STEMCo) transforms findings from ethnographic engagement with multilingual school communities into research-driven and policy-informed teacher-education materials. Ten months of ethnographic and participatory action research in middle schools—one in Bolzano, a historically multilingual context, and the other in Verona, a newly multilingual context—will support data-driven teacher reflection on classroom practices (WP1). These data are then analyzed in light of communicative repertoires, multilingualism, pedagogy, and language ideologies and findings are disseminated to academic stakeholders (WP2). These findings are then exploited for the professional development of teachers throughout Europe via a sustainable, Open Access online course (WP3). The overall aim of STEMCo is to develop data-driven and research-based approaches, and associated training materials, for accommodating community multilingualism and individual plurilingualism in school communities throughout Europe. The objectives of WP3 will be bolstered by a secondment at the Italian National Institute for Documentation, Innovation, and Educational Research (INDIRE), a short visit to the New York Initiative for Emergent Bilinguals (CUNY-NYSIEB), and another to the European Centre for Modern Languages. My collaboration with Eurac’s Institute of Applied Linguistics, and my supervisors Lorenzo Zanasi and Andrea Abel, will augment my interdisciplinary training with methods and theories in applied linguistics, sociolinguistics, language pedagogy, and Italian education policies, as well as professional skills related to project management, data management and analysis, and community engagement. This project will help me reach professional maturity by growing my interdisciplinary experience, international networks, and intersectoral collaborations in order to gain a tenure-track position oriented to teacher-education and community multilingualism.
SINGLE PIECE TRAY BASE FOR DISPLAYING DEVICES

A blank for a tray base comprising a first longitudinal section, and a second longitudinal section with at least two cuts, the second longitudinal section abutting the first longitudinal section in a lengthwise manner, each of the cuts forming a transversal section in the second longitudinal section, wherein the at least two cuts comprise three or more cut lines and wherein at least two of the cut lines of each of the at least two cuts abut with the first longitudinal section; the first longitudinal section being foldable in regards to the second section and the transversal sections being foldable in regards to each other. Different shapes of cut may be provided in the blank for a tray base, depending on the shape of the tray base. For example, a funnel-shaped cut may be provided; trapezoid and outwardly facing triangle cuts may also be provided. When folded the blank forms a tray base with at least one opening in the edges of each of the sides of the tray base. The tray base may be hanged to struts or posts of a display structure.
Desenvolvimento de hardware reconfigurável de criptografia assimétrica

Este artigo apresenta o resultado parcial do desenvolvimento de uma interface de hardware reconfiguravel para criptografia assimetrica que permite a troca segura de dados. Hardwares reconfiguraveis permitem o desenvolvimento deste tipo de dispositivo com seguranca e flexibilidade e possibilitam a mudanca de caracteristicas no projeto com baixo custo e de forma rapida. Palavras-chave: Criptografia. Hardware. ElGamal. FPGA. Seguranca. Development of an asymmetric cryptography reconfigurable harwadre ABSTRACT This paper presents some conclusions and choices about the development of an asymmetric cryptography reconfigurable hardware interface to allow a safe data communication. Reconfigurable hardwares allows the development of this kind of device with safety and flexibility, and offer the possibility to change some features with low cost and in a fast way. Keywords : Cryptography. Hardware. ElGamal. FPGAs. Security.
Subvención de capital de trabajo para LAMAR Sp. z o.o.

El proyecto se refiere al apoyo del empresario a proporcionar liquidez financiera y apoyo a las actividades actuales debido a las dificultades financieras experimentadas por el empresario como consecuencia del brote de COVID-19. Ayuda financiera concedida en el marco del programa n.º SA.57015 (2020/N)
PROJECT CODE: 17634 — POR BRANDS ERDF 2014/2020 Â AXIS 1 Â OS 1 — ACTION 1.3 — ENTERPRISE AND WORK 4.0 ACTION 1.3.1 “PROMOTING THE INNOVATION PROCESSES OF NEW DIGITAL TECHNOLOGIES IN MARCHE’S MSMES”

PROJECT CODE: 17634 — POR BRANDS ERDF 2014/2020 Â AXIS 1 Â OS 1 — ACTION 1.3 — ENTERPRISE AND WORK 4.0 ACTION 1.3.1 “PROMOTING THE INNOVATION PROCESSES OF NEW DIGITAL TECHNOLOGIES IN MARCHE’S MSMES”