This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

When AI is typically discussed, it usually centers around computation in a classical sense - processors, control algorithms, ...

Traditional geotechnical monitoring methods often face limitations in terms of accuracy, real-time performance, and comprehensiveness. The emergence of ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Communication-Efficient Adam-Type Algorithms for Distributed Data Mining Distributed data mining is an emerging research topic to effectively and efficiently address hard data mining tasks using big ...

Third, we create a balanced index structure about the shares for each cloud storage node based on the information in the blockchain, and we also propose a depth-first data search algorithm to improve ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...