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Attosecond microscopy —Advances and outlook

Attosecond microscopy aims to record electron movement on its natural length and time scale. It is a gateway to understanding the interaction of matter and light, the coupling between excitations in solids, and the resulting energy flow and decoherence behavior, but it demands simultaneous temporal and spatial resolution. Modern science has conquered these scales independently, with ultrafast ligh

Defined culture conditions robustly maintain human stem cell pluripotency, highlighting a role for Ca2+ signaling

Induced pluripotent stem cells (iPSCs) have significant potential for disease modeling and cell therapies. However, their wide-spread application has faced challenges, including batch-to-batch variabilities, and notable distinctions when compared to embryonic stem cells (ESCs). Some of these disparities can stem from using undefined culture conditions and the reprogramming procedure, however, the

Prospects of analog in-memory computing using ferroelectric tunnel junctions

Artificial intelligence (AI) is set to disrupt the way businesses and civil society operate, but the large energy usage for training and running AI compute models remains a pressing concern in terms of its sustainability. Analog in-memory computing (AIMC) hardware based on memristor devices is a promising route to significant energy-savings. Among the various memristor technologies, ferroelectric

Current challenges in lung transplantation

Lung transplantation remains the definitive treatment for end-stage lung disease, but several critical challenges persist. Key issues include the limited availability of donor organs, ongoing debates over optimal preservation methods, and the controversy surrounding the best intraoperative support systems. Additionally, the efficacy of bridging strategies to transplantation continues to be questio

Nanofibrous Peptide Hydrogels Leveraging Histidine to Modulate pH-Responsive Supramolecular Assembly and Antibody Release

In this work, we investigate the pH-responsive behavior of multidomain peptide (MDP) hydrogels containing histidine. Small-angle X-ray scattering confirmed that MDP nanofibers sequester nonpolar residues into a hydrophobic core surrounded by a shell of hydrophilic residues. MDPs with histidine on the hydrophilic face formed nanofibers at all pH values tested, but the morphology of the fibers was i

In Operando Locally-Resolved Photophysics in Perovskite Solar Cells by Correlation Clustering Imaging

The instability of metal halide perovskites limits the commercialization of solar cells despite their impressive efficiencies. This instability, driven by photo-induced ion migration, leads to material restructuring, defect formation, degradation, and defect healing. However, these same “unwanted” properties enable to propose Correlation Clustering Imaging (CLIM), a technique that detects local ph

High-impedance microwave resonators with two-photon nonlinear effects

Nonlinear effects play a central role in photonics as they form the foundation for most of the device functionalities such as amplification and quantum state preparation and detection. Typically the nonlinear effects are weak and emerge only at high photon numbers with strong drive. Here we present an experimental study of a Josephson junction -based high-impedance resonator. We show that by takin

Dynamic response of diagonal laminated timber : Parameter studies and modelling approaches

The paper provides an overview and preliminary results from ongoing research with the aim to evolve cross-laminated timber (CLT) into the next generation of Tailored Laminated Timber (TLT). This is done by exploring innovative concepts that optimize the mechanical performance, while simultaneously ensuring adherence to circular economy principles. The current study aims at investigating the potent

Balancing Environmental Sustainability and Nutrition: Dietary Climate Impact in Relation to Micronutrient Intake and Status in a Swedish Cohort

BackgroundDietary shift is necessary for improving public health, mitigating climate change, and achieving the Sustainable Development Goals. Adaption of climate-friendly diets might prevent chronic diseases and reduce mortality; however, consuming diets with a low climate impact have been suggested to increase risk of some micronutrient deficiencies.ObjectivesThis study aimed to examine whether s

Artificial intelligence

Artificial intelligence (AI) is increasingly being discussed at the international level, with a particular focus on its potential to help achieve the Sustainable Development Goals (SDGs). The Global Digital Compact, adopted at the Summit of the Future, calls for the establishment of international institutions to govern AI technologies. The impact of AI on sustainable development is a multifaceted

A non-genotoxic stem cell therapy boosts lymphopoiesis and averts age-related blood diseases in mice

Hematopoietic stem cell (HSC) transplantation offers a cure for a variety of blood disorders, predominantly affecting the elderly; however, its application, especially in this demographic, is limited by treatment toxicity. In response, we employ a murine transplantation model based on low-intensity conditioning protocols using antibody-mediated HSC depletion. While aging presents a significant bar

Rapid, In Situ and Non-Destructive Analysis for the Evaluation of Microplastics Degradation in Water Via Haze Measurement

The presence of microplastics (MPs) in water represents a current problem for marine life and a future serious issue for human health. This is pushing towards new approaches for the removal of MPs and, hence, their characterization and evaluation, which up to now has represented a limit for tentative procedures for their degradation. Herein, we reported on a new facile, in situ and non-destructive

Influence of friction material composition on airborne wear particle emissions from dry clutches

Airborne wear particle emissions from dry clutches have been investigated in terms of particle mass and number concentration, size distribution, and chemical composition of a single clutch material. This paper presents a detailed continuation of the investigation. Clutch plates of two different friction materials, i.e., from different manufacturers but for the same automobile applications, are tes

Evaluating healthcare quality and inequities using generative AI : a simulation study of potentially inappropriate medication among older adults analyzed via the framework analysis of individual heterogeneity and discriminatory accuracy (AIHDA)

Background: Regular monitoring of healthcare quality and equity is crucial for informing decision-makers and clinicians. This study explores the application of generative AI, more specifically large language models (LLMs), to facilitate standardized monitoring of healthcare quality using the established framework Analysis of Individual Heterogeneity and Discriminatory Accuracy (AIHDA). The study i