Results 111 to 120 of about 34,112,328 (298)

Application of data‐driven methods in power systems analysis and control

open access: yesIET Energy Systems Integration
The increasing integration of variable renewable energy resources through power electronics has brought about substantial changes in the structure and dynamics of modern power systems.
Otavio Bertozzi   +4 more
doaj   +1 more source

Data-Driven Methods for L2-Gain Estimation

open access: yesIFAC Proceedings Volumes, 2009
In this paper we present and discuss some data-driven methods for estimation of the L2-gain of dynamical systems. Partial results on convergence and statistical properties are provided.
Barenthin, Märta   +3 more
openaire   +3 more sources

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
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

Data-driven and model-driven evaluation and prediction methods for load regulation potential

open access: yes电力工程技术
In the context of high penetration of photovoltaics in distribution networks, researching the load regulation potential is crucial for grid safety and refined dispatching.
Yan ZHAO   +5 more
doaj   +1 more source

Data-Driven Filtering of the Spherical Harmonics Method

open access: yesCoRR
We investigate a data-driven approach for tuning the filtered spherical harmonics method (\fpn) when solving the radiation transport equation (RTE). The \fpn method extends the classical spherical harmonics approach (\pn) by introducing regularization through a filter operator, which mitigates spurious oscillations caused by Gibbs' phenomenon.
Benjamin Plumridge   +2 more
openaire   +3 more sources

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

A Study of Data-driven Methods for Inventory Optimization

open access: yesCoRR
This paper shows a comprehensive analysis of three algorithms (Time Series, Random Forest (RF) and Deep Reinforcement Learning) into three inventory models (the Lost Sales, Dual-Sourcing and Multi-Echelon Inventory Model). These methodologies are applied in the supermarket context.
Lee Yeung Ping   +2 more
openaire   +2 more sources

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

open access: yesFEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Data-driven Technologies : Challenges for Privacy and Data Protection Law

open access: yes
Data-driven technologies introduce new privacy risks that are currently not (explicitly) addressed by European data protection law. Against this backdrop, the chapter discusses the general conceptual shortcomings of the GDPR, followed by an overview of ...
Ebers, Martin,, Sein, Karin,
core  

Data-driven school improvement linking data and learning /

open access: yes, 2008
Titre de l'écran-titre (visionné le 31 jan. 2012)Comprend des réf. bibliogr. et un index.Data-driven decision making : an introduction / Ellen B. Mandinach & Margaret Honey -- A conceptual framework for data-driven decision making / Ellen B.
Mandinach, Ellen Beth.   +2 more
core   +1 more source

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