Abstract: The dynamic gas flow model with static electric-driven compressor (EDC) model has been widely studied in coordinated analysis of integrated electricity-gas system (IEGS). However, as a ...
The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes ...
The abundance analysis in the tutorial (https://github.com/soedinglab/MMseqs2/wiki/Tutorials#abundance-analysis) suggests mmseqs prefilter to be set at -s 2 since ...
Why predicting power behavior is getting harder for AI chips. Dynamic Power Analysis: Closing the pre- versus post-silicon gap. The massive complexity and computational needs of today’s most advanced ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
Investigators rely on particle characterization methods to gain a deeper understanding of key properties that influence both the manufacturing process and the quality of the final product. As ...
Nivolumab (NIVO) plus ipilimumab (IPI) vs chemotherapy (chemo) or NIVO monotherapy for microsatellite instability-high/mismatch repair-deficient (MSI-H/dMMR) metastatic colorectal cancer (mCRC): ...
Working with large datasets in Excel often presents challenges, particularly when clarity and organization are essential. Dynamically inserting blank rows between items is a highly effective method to ...
In today’s rapidly evolving manufacturing landscape, staying ahead of the curve is not just an option—it’s a necessity. A new white paper titled “The Business Value of Microsoft Dynamics 365 for ...
ABSTRACT: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results