Abstract
A proper amount of excess oxygen plays a significant role in hole‐doped cuprate high‐
T
c
superconductivity. Here, the dopant oxygen in Bi
2
Sr
2
CaCu
2
O
8+
δ
is directly imaged via ...integrated differential phase contrast combined with state‐of‐the‐art scanning transmission electron microscopy. The location of dopant oxygen is observed to be consistent with the position inferred from local strain analysis of the incommensurate structure. The influence of dopant oxygen on the local atomic lattice and electronic structure is further explored using first‐principle calculations. The dopant oxygen atoms not only aggravate the distortions of the local atomic arrangement but also alter the electronic states by transferring charge from the BiO planes to the CuO
2
planes. The underlying mechanism of charge transfer is resolved. The results may also be applicable to other oxygen‐doped cuprates with high‐
T
c
superconductivity.
The research focus on the human microbiome is moving towards uncovering its association with the overall wellbeing and using this knowledge in personalized medicine and connected health. Driven by ...more affordable highthroughput sequencing, microbiome data generation rate has increased, enabling an efficient implementation of data-driven algorithms. This study evaluates the possibilities to identify clusters in a human microbiome data based on taxonomic profiles, relying on 24 different \beta diversity measures, individual and ensemble clustering approaches. The influence of ensemble creation techniques and parameter selection to the robustness and quality of consensus partition was explored. Furthermore, we have evaluated changes in the clustering performance after dimensionality reduction. The results indicate that careful selection of the algorithm parameters and ensemble design are needed to ensure the stable consensus partition. Reduction in the number of input features using kernel principal component analysis is accompanied with loss of discrimination potential.
Scanning transmission electron microscopy (STEM) is the most widespread adopted tool for atomic scale characterization of two-dimensional (2D) materials. Many 2D materials remain susceptible to ...electron beam damage, despite the standardized practice to reduce the beam energy from 200 keV to 80 or 60 keV. Although, all elements present can be detected by atomic electrostatic potential imaging using integrated differential phase contrast (iDPC) STEM or electron ptychography, capturing dynamics with atomic resolution and enhanced sensitivity has remained a challenge. Here, by using iDPC-STEM, we capture defect dynamics in 2D WS\(_2\) by atomic electrostatic potential imaging with a beam energy of only 30 keV. The direct imaging of atomic electrostatic potentials with high framerate reveals the presence and motion of single atoms near defects and edges in WS\(_2\) that are otherwise invisible with conventional annular dark-field STEM or cannot be captured sufficiently fast by electron ptychography.
Finding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce ...cancer related mortality. This work presents the INCISIVE project initiative towards enhancing AI solutions for health imaging by unifying, harmonizing, and securely sharing scattered cancer-related data to ensure large datasets which are critically needed to develop and evaluate trustworthy AI models. The adopted solutions of the INCISIVE project have been outlined in terms of data collection, harmonization, data sharing, and federated data storage in compliance with legal, ethical, and FAIR principles. Experiences and examples feature breast cancer data integration and mammography collection, indicating the current progress, challenges, and future directions.
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