Results 51 to 60 of about 3,143,268 (283)
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
A Tractable Format for Distributionally Robust Optimization
, 2019 We present a unified and tractable framework for distributionally robust optimization that could encompass a variety of statistical information including, among others things, constraints on expectation, scenario-wise expectations, Wasserstein metric ...
Sim, Melvyn
core +1 more source
Zhejiang dianliThe volatility of renewable energy generation accelerates the aging of water distributionally robust optimization within Power-to-Gas （P2G） stations. Existing optimization models fail to effectively account for the impact of wide power fluctuations on ...
SUN Yifan, WANG Lin, JIN Xiao
doaj +1 more source
A Wasserstein-based distributionally robust neural network for non-intrusive load monitoring
Frontiers in Energy Research, 2023 Non-intrusive load monitoring (NILM) is a technique that uses electrical data analysis to disaggregate the total energy consumption of a building or home into the energy consumption of individual appliances. To address the data uncertainty problem in non-
Qing Zhang +6 more
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS 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
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Quantitative Stability Analysis in Distributionally Robust Optimization
, 2018 Ambiguity set is a key element in distributionally robust optimization models. Here we investigate the impact of perturbation of ambiguity set on the optimal value and the optimal solutions. We consider the case where the ambiguity set is defined through
Xu, Huifu
core +1 more source
Flow-Based Distributionally Robust Optimization
IEEE Journal on Selected Areas in Information TheoryIEEE Journal on Selected Areas in Information Theory (JSAIT).
Chen Xu +3 more
openaire +3 more sources
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
EnergiesAiming at multi-agent interest demands and environmental benefits, a distributionally robust game-theoretic optimization algorithm based on a green certificate–carbon trading mechanism is proposed for uncertain microgrids. At first, correlated wind–solar
Chen Wei +4 more
doaj +1 more source