Results 91 to 100 of about 200,638 (323)

Optimization of UPLC method for simultaneous determination of rosuvastatin and rosuvastatin degradation products

open access: yesActa Chimica Slovenica, 2017
An ultra-performance liquid chromatographic method for simultaneous determination of rosuvastatin and rosuvastatin degradation products was developed and optimized by using fractional factorial experimental design.
Jure Zakrajšek   +3 more
doaj   +2 more sources

Optimal design procedures for two-level fractional factorial experiments given partial prior information about parameters [PDF]

open access: yes
Design optimization for fractional factorial experiments by finite decision problem based on prior ...
Holms, A. G., Sidik, S. M.
core   +1 more source

Metode Lenth Pada Rancangan Faktorial Fraksional 3^(k-p) Dengan Estimasi Efek Algoritma Yates [PDF]

open access: yes, 2015
Factorial design often is used in experiments on various fields to identify the influence of main factors and interaction factors to respons were observed. A design which has k factors with three levels for each factor called factorial design.
Hoyyi, A. (Abdul)   +2 more
core  

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

open access: yesAdvanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai   +10 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Arsenic release dynamics in Punjab's agricultural soils: the role of background species using fractional factorial design

open access: yesDiscover Soil
Arsenic contamination has become an important environmental issue in India, particularly in Punjab, where intensive agriculture and groundwater dependence have exacerbated the problem.
Hafsa Nazir   +3 more
doaj   +1 more source

Liquid state bioconversion of palm oil mill effluent for cellulase production: statistical optimization of process conditions [PDF]

open access: yes, 2006
The filamentous fungus Trichoderma harzianum was used for liquid state bioconversion of POME for cellulase production. Statistical optimization was carried out to evaluate the physico-chemical parameters (factors) for maximum cellulase production by 2 ...
Abd. Karim, M. Ismail   +4 more
core  

Two polynomial representations of experimental design

open access: yes, 2007
In the context of algebraic statistics an experimental design is described by a set of polynomials called the design ideal. This, in turn, is generated by finite sets of polynomials.
Notari, Roberto   +2 more
core   +1 more source

Interference Adsorption of Cadmium witha Variety of Pollutants in Sediments Basedon Fractional Factorial Design(Resolution V)

open access: yes, 2017
The characteristics of composite cadmium contamination via adsorption onto the surficial sediments in a pesticide (dimethoate, metalaxyl, atrazine, malathion, and prometryn)/heavy metal (copper, zinc, lead, cadmium, and nickel) composite contamination ...
Wenwen Gu, Bingchuan Cheng, Y. Li
semanticscholar   +1 more source

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva   +2 more
wiley   +1 more source

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