Safety and efficacy of intravenous thrombolysis: a systematic review and meta-analysis of 93,057 minor stroke patients.

Background: The definition of minor ischemic stroke (MIS) is a topic of debate, however, the most accepted definition is a stroke with National Institutes of Health Stroke Scale (NIHSS) ≤ 5. Intravenous thrombolysis (IVT) is a crucial treatment option for acute ischemic stroke (AIS) including: alteplase, recombinant human tissue-type plasminogen activator (r-tPA), and the recently approved tenecteplase. However, there is a debate regarding its safety and efficacy.

Linking Research Data with Physically Preserved Research Materials in Chemistry.

Results of scientific work in chemistry can usually be obtained in the form of materials and data. A big step towards transparency and reproducibility of the scientific work can be gained if scientists publish their data in research data repositories in a FAIR manner. Nevertheless, in order to make chemistry a sustainable discipline, obtaining FAIR data is insufficient and a comprehensive concept that includes preservation of materials is needed.

Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling.

We present a built-in physics neural network architecture, known as inelastic Constitutive Artificial Neural Network (iCANN), to discover the inelastic phenomenon of tensional homeostasis. In this course, identifying the optimal model and material parameters to accurately capture the macroscopic behavior of inelastic materials can only be accomplished with significant expertise, is often time-consuming, and prone to error, regardless of the specific inelastic phenomenon. To address this challenge, built-in physics machine learning algorithms offer significant potential.

The influence of anorexia nervosa on oral health and related parameters potentially relevant to orthodontic treatment: a systematic review and meta-analysis.

Objectives: Information on the oral health of patients with anorexia nervosa remains not satisfactory. The aim of this systematic review is to evaluate oral health parameters in anorexic patients compared to healthy individuals. Furthermore, potential clinical implications for orthodontic treatment are discussed from an orthodontic perspective.

Tensor Train Optimization for Conformational Sampling of Organic Molecules.

Exploring the conformational space of molecules remains a challenge of fundamental importance to quantum chemistry: identification of relevant conformers at ambient conditions enables predictive simulations of almost arbitrary properties. Here, we propose a novel approach, called TTConf, to enable conformational sampling of large organic molecules where the combinatorial explosion of possible conformers prevents the use of a brute-force systematic conformer search. We employ tensor trains as a highly efficient dimensionality reduction algorithm, effectively reducing the scaling from exponential to polynomial.

Exploring the correlation between chemical bonding and structural distortions in TbCuTe.

The design of solid-state materials requests a thorough understanding of the structural preferences among plausible structure models. Since the bond energy contributes to the formation energy of a given structure model, it also is decisive to determine the nature of chemical bonding for a given material. In this context, we were motivated to explore the correlation between chemical bonding and structural distortions within the low-dimensional tellurium fragments in TbCuTe.

A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes.

Introduction: The incidence of type 2 diabetes mellitus (T2DM) has increased in recent years. Alongside traditional pharmacological treatments, nutritional therapy has emerged as a crucial aspect of T2DM management. Inulin, a fructan-type soluble fiber that promotes the growth of probiotic species like and , is commonly used in nutritional interventions for T2DM.

Standardized Approach for Diversification of Complex Small Molecules via Aryl Thianthrenium Salts.

Thianthrenation is a useful strategy for the late-stage diversification of complex small molecules owing to the positional selectivity and the synthetic versatility of thianthrenium salts as electrophilic linchpins. However, substrate-dependent identification of suitable reaction conditions for thianthrenation can be difficult. Reported reaction conditions for the functionalization of thianthrenium salts vary significantly and, in some instances, lack robustness and practicality.

Autoradiography of Intracerebral Tumours in the Chick Embryo Model: A Feasibility Study Using Different PET Tracers.

Purpose: In addition to rodent models, the chick embryo model has gained attention for radiotracer evaluation. Previous studies have investigated tumours on the chorioallantoic membrane (CAM), but its value for radiotracer imaging of intracerebral tumours has yet to be demonstrated.

Procedures: Human U87 glioblastoma cells and U87-IDH1 mutant glioma cells were implanted into the brains of chick embryos at developmental day 5.

Study of the TOFPET2c ASIC in time-of-flight detection of x-rays for scatter rejection in medical imaging applications.

Integrating time-of-flight (ToF) measurements in radiography and computed tomography (CT) enables an approach for scatter rejection in imaging systems that eliminates the need for anti-scatter grids, potentially increasing system sensitivity and image quality. However, present hardware dedicated to the time-correlated measurement of X-rays is limited to a small scale and low density. A switch to highly integrated electronics and detectors is needed to progress towards a medium-scale system capable of acquiring images, while offering a timing resolution below 300 ps FWHM to achieve scatter rejection comparable to current grids.

Effects of laser wavelength and pulse energy on the evaporation behavior of TiN coatings in atom probe tomography: A multi-instrument study.

The impact of the laser wavelength on accuracy in elemental composition analysis in atom probe tomography (APT) was investigated. Three different commercial atom probe systems - LEAP 3000X HR, LEAP 5000 XR, and LEAP 6000 XR - were systematically compared for a TiN model coating studying the effect of shorter laser wavelengths, especially in the deep ultraviolet (DUV) range, on the evaporation behavior. The findings demonstrate that the use of shorter wavelengths enhances the accuracy in elemental composition, while maintaining similar electric field strengths.

Close to the border-Resilience in healthcare in a European border region: Findings of a needs analysis.

Objectives: Promoting resilience, the ability to withstand and overcome challenging situations, is crucial for maintaining the performance of healthcare systems. Unique challenges faced by healthcare facilities in border regions render them particularly vulnerable during crises, emphasizing the need to promote resilience in these areas. The current study evaluated the state and needs of resilience in healthcare professionals in a representative European border region.

Nociceptor sodium channels shape subthreshold phase, upstroke, and shoulder of action potentials.

Voltage-gated sodium channels (VGSCs) in the peripheral nervous system shape action potentials (APs) and thereby support the detection of sensory stimuli. Most of the nine mammalian VGSC subtypes are expressed in nociceptors, but predominantly, three are linked to several human pain syndromes: while Nav1.7 is suggested to be a (sub-)threshold channel, Nav1.

Pharmacokinetic characterization and exposure-response relationship of crovalimab in the COMMODORE 1, 2 and 3 and COMPOSER trials of patients with paroxysmal nocturnal haemoglobinuria.

Aims: Crovalimab is a novel C5 inhibitor administered first intravenously and then subcutaneously in patients with paroxysmal nocturnal haemoglobinuria (PNH) naive to complement inhibition or switching from eculizumab or ravulizumab. Crovalimab showed efficacy and safety comparable to eculizumab in the pivotal COMMODORE 2 and supporting studies.

Methods: We characterized crovalimab pharmacokinetics and the relationship between exposure pharmacokinetic parameters and pharmacodynamic biomarkers, efficacy and safety endpoints using pooled data (healthy volunteers [n = 9], naive [n = 210] and switched [n = 211] patients).

Expanding the Scope of Microvascular Inflammation: Unveiling Its Presence Beyond Antibody-Mediated Rejection Into T-Cell Mediated Contexts.

Microvascular inflammation (MVI) in kidney transplant biopsies is mainly associated with antibody-mediated rejection (AMR), sparking debate within the Banff Classification of Renal Allograft Pathology regarding its exclusivity. This study reviewed the literature on MVI in T cell-mediated rejection (TCMR) and analyzed MVI in our transplant population. We searched English publications in MEDLINE, Embase, Web of Science, Cochrane, and Google Scholar until June 2024, focusing on glomerulitis (g), peritubular capillaritis (ptc), or MVI in kidney transplant biopsies classified as TCMR.

Analyses of Adverse Drug Reactions to Fluoroquinolones in Spontaneous Reports Before and After the Referral and in Clinical Routine Cases.

Introduction: In November 2018, the European Medicines Agency (EMA) restricted the use of fluoroquinolones (used by mouth, injections or inhalation) in the context of a referral due to long-lasting and potentially irreversible adverse drug reactions (ADRs). Fluoroquinolones should no longer be used to treat mild or moderate bacterial infections unless other antibacterials cannot be used.

Objectives: The first aim of our study was to analyze whether in the period before compared with after the referral the characteristics of spontaneous ADR reports related to fluoroquinolones differed and whether specific ADRs were more frequently reported for fluoroquinolones compared with cotrimoxazole.

Soybean tolerance to waterlogging is achieved by detoxifying root lactate via lactate dehydrogenase in leaves and metabolizing malate and succinate.

Waterlogging is a significant stressor for crops, particularly in lowland regions where soil conditions exacerbate the problem. Waterlogged roots experience hypoxia, disrupting oxidative phosphorylation and triggering metabolic reorganization to sustain energy production. Here, we investigated the metabolic aspects that differentiate two soybean sister lines contrasting for waterlogging tolerance.

3D multiscale characterization of the human placenta: Bridging anatomy and histology by X-ray phase-contrast tomography.

The human placenta exhibits a complex three-dimensional (3D) structure with a interpenetrating vascular tree and large internal interfacial area. In a unique and yet insufficiently explored way, this parenchymal structure enables its multiple functions as a respiratory, renal, and gastrointestinal multiorgan. The histopathological states are highly correlated with complications and health issues of mother, and fetus or newborn.

Quantum Broadcast Channel Simulation via Multipartite Convex Splitting.

We show that the communication cost of quantum broadcast channel simulation under free entanglement assistance between the sender and the receivers is asymptotically characterized by an efficiently computable single-letter formula in terms of the channel's multipartite mutual information. Our core contribution is a new one-shot achievability result for multipartite quantum state splitting via multipartite convex splitting. As part of this, we face a general instance of the quantum joint typicality problem with arbitrarily overlapping marginals.

Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis.

Background & Aims: Biliary abnormalities in autoimmune hepatitis (AIH) and interface hepatitis in primary biliary cholangitis (PBC) occur frequently, and misinterpretation may lead to therapeutic mistakes with a negative impact on patients. This study investigates the use of a deep learning (DL)-based pipeline for the diagnosis of AIH and PBC to aid differential diagnosis.

Methods: We conducted a multicenter study across six European referral centers, and built a library of digitized liver biopsy slides dating from 1997 to 2023.

Revolutionizing liver fibrosis research: the promise of 3D organoid models in understanding and treating chronic liver disease.

Introduction: Liver fibrosis, marked by excessive extracellular matrix deposition, is a significant consequence of chronic liver injuries from various conditions. It can progress to end-stage liver disease, with liver transplantation often being the only treatment option. Recent advancements in 3D-organoid technology have transformed liver disease research by providing models that mimic the human liver's physiological environment, offering insights into mechanisms of fibrosis and potential therapies.

The role of lncRNAs in the interplay of signaling pathways and epigenetic mechanisms in glioma.

Gliomas, highly aggressive tumors of the central nervous system, present overwhelming challenges due to their heterogeneity and therapeutic resistance. Glioblastoma multiforme (GBM), the most malignant form, underscores this clinical urgency due to dismal prognosis despite aggressive treatment regimens. Recent advances in cancer research revealed signaling pathways and epigenetic mechanisms that intricately govern glioma progression, offering multifaceted targets for therapeutic intervention.