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This study explores the use of polarized second-harmonic generation (pSHG) to investigate myosin conformation in the relaxed state, differentiating between the actin-available, disordered (ON) state ...
Search engine optimisation has operated on predictable principles for decades. Businesses understood that ranking for ...
Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...
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 ...
Concentration polarization of ion-exchange membranes in electrodialysis units limits operational current densities to the underlimiting regime, preventing process intensification by simply increasing ...
Learn about the APPSC Forest Beat Officer Syllabus 2025, including subject-wise topics, exam pattern, preparation tips & more ...
L-moments are expectations of certain linear combinations of order statistics. They can be defined for any random variable whose mean exists and form the basis of a general theory which covers the ...
The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a community-driven, open programming specification for graph analysis. The specification makes the development of high-performance graph ...
Non-linear activation functions imitating neuron behaviors are ubiquitous in machine learning algorithms for time series signals while also demonstrating significant gain in precision for conventional ...
We present a simulation model constructed in collaboration with Intel Corporation to measure and gauge the interaction of non-linear supply chain phenomena (such as waste, uncertainty, congestion, ...
Learn how to use key performance indicators (KPIs) to measure and improve your internal audit function, and what are some common and relevant KPIs for internal auditors.
ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs ParGNN is accepted by DAC 2025. ParGNN, an efficient full-batch training system for GNNs, which adopts a profiler-guided ...
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