Sum-frequency generation (SFG) is a powerful vibrational spectroscopy that can selectively probe molecular structures at ...
Abstract: With the advent of the era of big data, geographic information system (GIS) is facing the challenge of massive, multi-source and heterogeneous data when processing and analyzing spatial data ...
During chemical reactions, atoms in the reacting substances break their bonds and re-arrange, forming different chemical ...
A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...
Objectives This study aims to assess travel time, associated costs, challenges and factors influencing healthcare facility choices among persons with cancer in Southern India. Design An explanatory ...
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
Terahertz (THz) radiation, which occupies the frequency band between microwaves and infrared light, is essential in many next ...
The development of glmSMA represents a valuable advancement in spatial transcriptomics analysis, offering a mathematically robust regression-based approach that achieves higher-resolution mapping of ...
Objectives We examined studies that analysed the spatial association of cancers with demographic, environmental, behavioural and/or socioeconomic factors and the statistical methods applied. Design ...
The liver is a highly multifunctional organ that can perform many metabolic and immunological functions due to a highly complex spatially organised microarchitecture that is disturbed in many liver ...
As a key emerging pillar, the sports industry plays a significant role in promoting the high-quality development of regional and national economies. However, research on the spatial distribution ...
4_Analysis_results: Comprised of scripts to calculate similarity metrics like JSD and RMSE to understand the performance of deconvolution methods for various cell type removal scenarios compared to a ...