Results 41 to 50 of about 9,321 (217)
Accurate short-term power load forecasting is crucial to maintaining a balance between energy supply and demand, thus minimizing operational costs. However, the intrinsic uncertainty and non-linearity of load data substantially impact the accuracy of ...
Zhuoqun Zou +5 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Short-term power load forecasting method based on Bagging-stochastic configuration networks.
Accurate short-term load forecasting is of great significance in improving the dispatching efficiency of power grids, ensuring the safe and reliable operation of power grids, and guiding power systems to formulate reasonable production plans and reduce ...
Xinfu Pang +4 more
doaj +1 more source
The microbiome in human skin aging
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana +3 more
wiley +1 more source
Performance Comparison of Deep Learning Models for Short Term Load Forecasting
In today's power industry, the ever-changing load environment makes accurate load forecasts even more important than ever. Even, day ahead load forecasting is crucial for the successful and efficient operation of the grid.
Jaya Christa Sargunar Thomas +1 more
doaj +1 more source
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
LLM-Empowered Meteorological Agent Construction and Its Application in Short-Term Power Load Forecasting [PDF]
[Objective]As the core driving factors for short-term power load forecasting, multivariate meteorological elements still confront prominent constraints in the acquisition and practical application of refined meteorological data.Accordingly, this paper ...
CAI Zilong, LIN Hongya, SHEN Fu, MAO Xiao, WANG Jian, YANG Yulin
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How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Lambda-Based Data Processing Architecture for Two-Level Load Forecasting in Residential Buildings
Building energy management systems (BEMS) have been intensively used to manage the electricity consumption of residential buildings more efficiently.
Gde Dharma Nugraha +4 more
doaj +1 more source

