Recent research11 has shown that the ratio of CPM to FPM is particularly sensitive to changes in APSD, especially as the cut-off diameter approaches the mass median aerodynamic diameter for the product of interest. The AIM concept potentially provides a time-efficient, sensitive analytical ...
Data mining and analysis are critical for preventing or mitigating natural hazards. However, data availability in natural hazard analysis is experiencing u
Based on the infrastructural standpoint, the capabilities of a data-driven firm are not only limited to capturing, storing, processing, and analyzing the data but also include the management of appropriate analytical methods to deduce meaningful insights from those data (Müller et al., 2018). As...
Technological advances enabling massively parallel measurement of biological features — such as microarrays, high-throughput sequencing and mass spectrometry — have ushered in the omics era, now in its third decade. The resulting complex landscape of analytical methods has naturally fostered the growth ...
when and how RC learns a general dynamical process are important mathematical questions whose answers are expected to provide guidelines for the practical design and implementation of RC systems. These lines of queries have led to a number of important analytical results which we classify into four ...
The analytical process of the second research question followed the principles of thematic synthesis, and the results were structured according to Thomson’s “5A” taxonomy which organizes the possible root causes of a gap in vaccination coverage rates into five pillars (i.e., access, affordability...
If an analytical procedure is not robust and its output is not reproducible or replicable, the public would call into questions the scientific rigor of the work and doubt the conclusion from a RWD-based study [113,114,115]. Result validation, reproducibility, and replicability can be challenging...
Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information
The development of single-cell multimodal assays provides a powerful tool for investigating multiple dimensions of cellular heterogeneity, enabling new insights into development, tissue homeostasis and disease. A key challenge in the analysis of single-cell multimodal data is to devise appropriate strategie...
The swift advancement of sustainable energy technologies, coupled with the urgent need to address environmental challenges, has generated considerable inte