Results 71 to 80 of about 560,544 (271)
DEA Problems under Geometrical or Probability Uncertainties of Sample Data [PDF]
This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data.
Althaler, Karl S., Slavova, Tatjana
core
Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers
A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley +1 more source
Analyses of Methods and Algorithms for Modelling and Optimization of Biotechnological Processes [PDF]
A review of the problems in modeling, optimization and control of biotechnological processes and systems is given in this paper. An analysis of existing and some new practical optimization methods for searching global optimum based on various advanced ...
Stoyan Stoyanov
doaj
Accelerating Stochastic Composition Optimization
Consider the stochastic composition optimization problem where the objective is a composition of two expected-value functions. We propose a new stochastic first-order method, namely the accelerated stochastic compositional proximal gradient (ASC-PG) method, which updates based on queries to the sampling oracle using two different timescales. The ASC-PG
Wang, Mengdi, Liu, Ji, Fang, Ethan X.
openaire +3 more sources
DNA‐Origami‐Assembled Rhodium Nanoantennas for Deep‐UV Label‐Free Single‐Protein Detection
Deep‐UV autofluorescence of single proteins in DNA origami‐based rhodium nanoantennas. Precisely positioned within the plasmonic nanogap, proteins retain their native state while their intrinsic emission is strongly amplified, enabling label‐free single‐molecule detection and opening new opportunities for highly sensitive and specific biosensing ...
Nicco Corduri +8 more
wiley +1 more source
Test data sets for calibration of stochastic and fractional stochastic volatility models
Data for calibration and out-of-sample error testing of option pricing models are provided alongside data obtained from optimization procedures in ''On calibration of stochastic and fractional stochastic volatility models'' [1].
Jan Pospíšil, Tomáš Sobotka
doaj +1 more source
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
In this paper, we present adaptive event‐triggered distributionally robust optimization stochastic model predictive control (AET‐DROSMPC) applied to DC‐DC converters subject to unknown disturbances and denial of service (DoS) attacks.
Yadong Chen, Peng Cheng
doaj +1 more source
Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu +13 more
wiley +1 more source
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu +10 more
wiley +1 more source

