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Impact of Al profile in high-Al content AlGaN/GaN HEMTs on the 2DEG properties

Ultra-thin high-Al content barrier layers can enable improved gate control and high-frequency operation of AlGaN/GaN high electron mobility transistors (HEMTs) but the precise composition control is very challenging. In this work, we investigate the compositional profiles of AlxGa1−xN/GaN HEMT structures with targeted Al content in the barrier layer, x = 0.50, 0.70, and 1, and thickness in the sub

Direct observations of nucleation and early-stage growth of Au-catalyzed GaAs nanowires on Si(111)

Developing a reliable procedure for the growth of III-V nanowires (NW) on silicon (Si) substrates remains a significant challenge, as current methods rely on trial-and-error approaches with varying interpretations of critical process steps such as sample preparation, Au-Si alloy formation in the growth reactor, and NW alignment. Addressing these challenges is essential for enabling high-performanc

Older persons' experiences with wearable sensor-based fall risk screening in free-living conditions - a qualitative study

BACKGROUND: Falls are common among older persons and can have a major impact on their lives. Wearable sensors used in free-living conditions (moving naturally in one's daily living environment) can be used to predict falls and fall risks. To understand if using the wearable sensors is an acceptable way for older persons to be screened for fall risks, it is important to have knowledge of older pers

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

Digitizing the palate : exploring opportunities for digital transformation in the food industry

The modern food industry faces the challenge of catering to diverse consumer preferences while maintaining efficiency and profitability. Rapid shifts in consumer trends, emerging technologies, and evolving regulations make it difficult for companies to keep pace, often resulting in inefficiencies and lost opportunities. The vast amount of data generated across production, supply chains, and market

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

Shear force capacity of cross laminated timber beams : Numerical investigations of fracture behaviour

This paper deals with numerical investigations of cross laminated timber (CLT) beams. Previous investigations have revealed discrepancies between experimental test results and suggested design methods regarding shear force capacity of such beams. To gain further understanding of the failure behaviour and the shear force capacity, nonlinear finite element analyses have been performed, using a cohes

Molecular 3D Characterisation of Drug Distribution and Mg-Stearate Coating on Lactose Carrier Particles by ToF-SIMS and XPS

A common type of inhalation medicine uses a dry powder formulation where the active pharmaceutical ingredient (API) is attached on the surface of carrier particles, often in combination with additional components. The spatial distribution of the API on the carrier particle is critical for the release into the lungs and thus for the efficacy of the drug. In this work, we use ToF-SIMS imaging in com

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

Broadening the Meanings of Youth Climate Activism : A Review of the Literature from Asia

It is by now a common trope that youth climate activism has become a ‘global phenomenon’. Yet, it also has significant regional variations. This literature review analyses eighteen academic articles on the topic of youth climate activism in Asia. We found that the literature from Asia overall had ambitions to contextualise and nuance international scholarship on youth climate activism. This was ac

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

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

Unveiling the Local Fate of Charge Carriers in Halide Perovskite Thin Films via Correlation Clustering Imaging

As the field of metal halide perovskites matures, a range of compositionally different perovskite films has found a place in efficient optoelectronic devices. These films feature variable local structural stability, carrier diffusion, and recombination, while there is still a lack of easy-to-implement generic protocols for high-throughput characterization of these variable properties. Correlation

In Situ Study of Axial GaSb/GaAs Nanowire Heterostructure Formation

Combining multiple III-V materials into axial nanowire heterostructures has enabled the fabrication of custom nanowire-based devices useful for a wide range of applications. However, our ability to form axial heterostructures between arbitrary combinations of III-V compounds is impeded by a lack of information on the dynamics of the heterojunction formation process, often resulting in suboptimal h