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We utilize laser-induced breakdown spectroscopy for measuring mixture composition and temperature in flames. Spectroscopy of the plasma emission yields concentration information, while temperature is derived from the breakdown threshold pulse energy.
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating artificial neuromorphic devices with biological systems. Due to their poor biocompatibility, circuit complexity, low energy efficiency, and operating principles fundamentally different from the ion signal modulation of biology, traditional Silicon-based neuromorphic implementations have limited bio
Antibody binding to cell surface proteins plays a crucial role in immunity, and the location of an epitope can altogether determine the immunological outcome of a host-target interaction. Techniques available today for epitope identification are costly, time-consuming, and unsuited for high-throughput analysis. Fast and efficient screening of epitope location can be useful for the development of t
Blog post on the Agenda 2030 Graduate School blog. In September 2021, the Food Systems Summit is taking place as part of the Decade of Action to achieve the Sustainable Development Goals (SDGs) by 2030. All 17 SDGs rely to some degree on healthier, more sustainable, and equitable food systems. Hopefully the interlinkages of food, land use change and healthy diets will target significant outcomes t
Introduction: Anxiety disorders are common and debilitating in children and adolescents. Cognitive behavioral therapy (CBT), delivered both in-person and by the internet (ICBT), is efficacious, but access for young individuals is limited and it remains unclear how to structure the care pathway to maximize benefit.Methods: To inform a fully powered randomized controlled trial (RCT), a pilot RCT wil
The last couple of decades have seen an explosion of novel colloidal drug delivery systems, which have been demonstrated to increase drug efficacy, reduce side-effects, and provide various other advantages for both small-molecule and biomacromolecular drugs. The interactions of delivery systems with biomembranes are increasingly recognized to play a key role for efficient eradication of pathogens
The reactivity of oxide surfaces is often attributed to formation and annihilation of oxygen deficient sites, which undergo complex structural rearrangements in the process. A prototypical example is VOx/TiO2 catalysts, widely used for e.g. selective catalytic reduction (SCR) of NOx emissions, where the possible effect of the supporting TiO2 surface structure has been much debated. Here, we presen
The use of ETEM in oxidation studies of carbon nanostructures such as CB has revealed new, and confirmed previously suggested, oxidation mechanisms. However, the influence of the electron beam on the dynamic oxidation processes must be well understood in order to connect the results to the real world. To date, there are few studies reporting any quantification of the effect1,2. To better understan
Objective: We aimed to compare the genetic contribution to osteoarthritis (OA) versus other rheumatic/musculoskeletal diseases (RMDs) in the same population and to explore the role for any shared genetics between OA and other RMDs. Methods: In 59,970 Swedish twins aged 35 years or older, we estimated the heritability (the variance explained by genetic factors) of OA in peripheral joints, back and
This paper extends the application of quantile-based Bayesian inference to probability distributions defined in terms of quantiles of observable quantities. Quantile-parameterized distributions are characterized by high shape flexibility and parameter interpretability, making them useful for eliciting information about observables. To encode uncertainty in the quantiles elicited from experts, we p
Core–shell structural ZnSeTe/ZnSe/ZnS quantum dots (QDs) have attracted great attention for advanced illumination and displays because of their environmentally friendly composition, but still suffering from poor photoluminescence (PL) and electroluminescence (EL) performance due to severe non-radiative charge recombination. Herein, a stepwise injection shell growth process to manipulate the monome
Engineering energy storage/extraction for geoenergy applications (e.g., geothermal energy extraction, CO2 and/or Hydrogen storage) requires a very good knowledge of subsurface heterogeneities. One of the principal factors that influences the response of the underground system is the continuously evolving pore networks of the targeted rocks. This work aims to understand the pore network of a natura
Aim: In neuroendocrine cells, large dense-core vesicles (LDCVs) undergo highly regulated pre-fusion processes before releasing hormones via membrane fusion. Significant heterogeneity has been found for LDCV population based on the dynamics of membrane fusion. However, how the pre-fusion status impacts the heterogeneity of LDCVs still remains unclear. Hence, we explored pre-fusion determinants of h
Photocatalysis plays a crucial role in harnessing renewable energy by efficiently converting solar energy into chemical energy. Adequate cognition of photogenerated charge carrier dynamics in photocatalysis is the key to realizing efficient solar energy utilization, and provides guidance for breaking through the efficiency bottleneck. However, a convincing correlation between those photophysical p
Objective: To investigate the associations between rheumatic and musculoskeletal diseases (RMDs) and incident dementia using population register-based data. Methods: This nested case-control study was conducted based on a cohort of residents in the Skåne region, Sweden, aged 50 years and older in 2009 without doctor-diagnosed dementia during 1998 to 2009 (n = 402,825). Individuals with a new main
Segmentation of diagnostic radiography images using deep learning is progressively expanding, which sets demands on the accessibility, availability, and accuracy of the software tools used. This study aimed at evaluating the performance of a segmentation model for digital breast tomosynthesis (DBT), with the use of computer-simulated breast anatomy. We have simulated breast anatomy and soft tissue
This literature review presents a summary of recent research about PM-less machines for electrical vehicles. Recently, IPM machines has proven to be very popular among electrical vehicle manufacturers. However, the neodymium permanent magnets being used are expensive and have a risk of rocketing the production cost of a machine if the price increases more. With this in mind, five PM-less machine t
