Group A streptococcal (GAS) infections amongst children in Europe : Taming the rising tide

A rising tide of Group A streptococcal infections is being reported in several European countries including the UK, Spain, Sweden, France, and Ireland. In this editorial, we shed light on the current scenario and present the discussion on the latest available interim clinical guidelines. We further explore the cause of this sudden rise and the interventional measures needed to tame the rising tide.publishersversio

The new face of monkeypox virus : an emerging global emergency

publishersversio

Generalised simulation environment for software testing

International audienceThe cost of the verification process is certainly one of the major engineering issue in the domain of embedded safety-sensitive systems such as avionis. Test environments, made up of dedicated software and hardware means, are among the most significantly contributing factors. This paper reports about an alternative approach where test environments are totally simulated for all test phases. Simulation is not per se a new approach, the expected positive gap is expected from its generalisation. test phases coverage. Our works on this generalised simulation approach are part the ongoing RNTL/ATLAS research project

The virology of human monkeypox virus (hMPXV) : A brief overview

Funding Information: The support of ECOMSIR (European Collaboration of Medical Students in Research) and Riga Stradiņš University (RSU) is greatly acknowledged. Publisher Copyright: © 2022 The AuthorsFirst described in 1958, the human monkeypox virus (hMPXV) is a neglected zoonotic pathogen closely associated with the smallpox virus. The virus usually spreads via close contact with the infected animal or human and has been endemic mostly in parts of the African continent. However, with the recent increase in trade, tourism, and travel, the virus has caused outbreaks in countries outside Africa. The recent outbreak in 2022 has been puzzling given the lack of epidemiological connection and the possible sexual transmission of the virus. Furthermore, there is limited understanding of the structural and pathogenetic mechanisms that are employed by the virus to invade the host cells. Henceforth, it is critical to understand the working apparatus governing the viral-immune interactions to develop effective therapeutical and prophylactic modalities. Hence, in the present short communication, we summarize the previously reported research findings regarding the virology of the human monkeypox virus.publishersversionPeer reviewe

Práticas profissionais no campo da precariedade : um olhar sobre um território em Hauts-de-France

Granja, Berta Pereira ; Pires, Nuno ; Arbia, Alexandre Aranha, org. - Intervenção social com a população em situação de grande pobreza e vulnerabilidade social. Lisboa : Universidade Lusíada Editora, 2024

Influence du nombre de couches sur les propriétés mécaniques de tissus 3D interlock chaine en lin

International audience3D warp interlock weaving allows to realize thicker preform for composites materials. Nevertheless, this technology is not widely used with natural fibres. This study demonstrates the feasibility of 3D warp interlock weaving with natural fibres, and the influence of the number of layers on structural and mechanical properties of this fabric. Thanks to the characterization results, structural parameters as the weft density, the thickness or the areal density have been found correlated to the number of layers. Mechanical parameters are also studied and explained thanks to structural parameters.Le tissage 3D interlock chaine permet de réaliser des préformes épaisses pour matériaux composites. Or, cette technologie est très peu employée pour des renforts à base de fibres naturelles. Cette étude démontre à la fois la faisabilité du tissage 3D interlock chaine pour les fibres naturelles et s'intéresse à l'influence du nombre de couches sur les propriétés structurelles et mécaniques. À partir de rovings de lin 1000 Tex, cinq tissus 3D interlock chaine, dérivée de la toile, ont été tissés. Suite à la chaine de caractérisation mise en place, de nombreux paramètres structuraux tels que la densité trame, l'épaisseur ou la masse surfacique sont proportionnels au nombre de couches de la structure tissée 3D interlock chaine. Le comportement en traction uni-axiale de ces structures sèches est également étudié via les paramètres structuraux

Method-specific Certification of Free Sugars and Starch/Glucose in Two Artificial Food Materials - BCR-644, BCR-645.

Abstract not availableJRC.D-Institute for Reference Materials and Measurements (Geel

The β-carboline alkaloid harmine inhibits telomerase activity of MCF-7 cells by down-regulating hTERT mRNA expression accompanied by an accelerated senescent phenotype

The end replication problem, which occurs in normal somatic cells inducing replicative senescence, is solved in most cancer cells by activating telomerase. The activity of telomerase is highly associated with carcinogenesis which makes the enzyme an attractive biomarker in cancer diagnosis and treatment. The indole alkaloid harmine has multiple pharmacological properties including DNA intercalation which can lead to frame shift mutations. In this study, harmine was applied to human breast cancer MCF-7 cells. Its activity towards telomerase was analyzed by utilizing the telomeric repeat amplification protocol (TRAP). Our data indicate that harmine exhibits a pronounced cytotoxicity and induces an anti-proliferation state in MCF-7 cells which is accompanied by a significant inhibition of telomerase activity and an induction of an accelerated senescence phenotype by over-expressing elements of the p53/p21 pathway

Recent outcomes and challenges of artificial intelligence, machine learning and deep learning applications in neurosurgery

Neurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and postoperative care and recovery. Over the past few years, artificial intelligence (AI) has become more useful in neurosurgery. AI has the potential to improve patient outcomes by augmenting the capabilities of neurosurgeons and ultimately improving diagnostic and prognostic outcomes as well as decision-making during surgical procedures. By incorporating AI into both interventional and non-interventional therapies, neurosurgeons may provide the best care for their patients. AI, machine learning (ML), and deep learning (DL) have made significant progress in the field of neurosurgery. These cutting-edge methods have enhanced patient outcomes, reduced complications, and improved surgical planning