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Artykuły w czasopismach na temat „Multivariate Response Surface”

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Data publikacji: 8 września 2023

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1

Moslemi, Amir, and Mirmehdi Seyyed-Esfahani. "A novel robust multivariate regression approach to optimize multiple surfaces." RAIRO - Operations Research 52, no. 4-5 (2018): 1233–43. http://dx.doi.org/10.1051/ro/2018016.

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Response surface methodology involves relationships between different variables, specifically experimental inputs as controllable factors, and a response or responses by incorporating uncontrollable factors named nuisance. In order to optimize these response surfaces, we should have accurate response models. A common approach to estimate a response surface is the ordinary least squares (OLS) method. Since OLS is very sensitive to outliers, some robust approaches have been discussed in the literature. Most problems face with more than one response which are mostly correlated, that are called mu

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Bratchell, N. "Multivariate response surface modelling by principal components analysis." Journal of Chemometrics 3, no. 4 (1989): 579–88. http://dx.doi.org/10.1002/cem.1180030406.

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Moslemi, Amir, and Mirmehdi Seyyed-Esfahani. "Robust optimization of multistage process: response surface and multi-response optimization approaches." International Journal of Nonlinear Sciences and Numerical Simulation 23, no. 2 (2021): 163–75. http://dx.doi.org/10.1515/ijnsns-2017-0003.

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Abstract A multistage system refers to a system contains multiple components or stages which are necessary to finish the final product or service. To analyze these problems, the first step is model building and the other is optimization. Response surfaces are used to model multistage problem as an efficient procedure. One regular approach to estimate a response surface using experimental results is the ordinary least squares (OLS) method. OLS method is very sensitive to outliers, so some multivariate robust estimation methods have been discussed in the literature in order to estimate the respo

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Kumar, Rupak, and Meega Reji. "Response surface methodology (RSM): An overview to analyze multivariate data." Indian Journal of Microbiology Research 9, no. 4 (2023): 241–48. http://dx.doi.org/10.18231/j.ijmr.2022.042.

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In recent years, the fascinating range of Response surface methodology (RSM) applications has captured the interest of many researchers and engineers worldwide. RSM is entirely based on well-known regression principles and variance analysis principles that enable the user to improve, develop and optimize the process or product under study. An overview of the theoretical principles of RSM, the experimental strategy and its tools and components, along with the applications and pros and cons, are described in this paper. Some of the widely used experimental designs of RSM compared in terms of its

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Patel, Trina, Donatello Telesca, Saji George, and André E. Nel. "Toxicity profiling of engineered nanomaterials via multivariate dose-response surface modeling." Annals of Applied Statistics 6, no. 4 (2012): 1707–29. http://dx.doi.org/10.1214/12-aoas563.

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Flandrois, C., C. Lahet, D. Feldmann, J. M. Gabastou, A. Gonnon, and I. Maire. "Urinary alanine aminopeptidase assay improved as result of multivariate response-surface analysis." Clinical Chemistry 34, no. 5 (1988): 954–57. http://dx.doi.org/10.1093/clinchem/34.5.954.

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Abstract Optimization of determination of alanine aminopeptidase in urine by univariate study led to a method involving pretreatment of urine with Sephadex G50. Re-examination of the optimization by multivariate study led us to recommend higher optimal concentrations: 5.8 mmol/L for the substrate and 300 mmol/L for the Tris buffer. Under these new conditions, pretreatment of urine was no longer necessary and the assay could be completely automated.

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Gatley-Montross, Caitlyn M., John A. Finlay, Nick Aldred, et al. "Multivariate analysis of attachment of biofouling organisms in response to material surface characteristics." Biointerphases 12, no. 5 (2017): 051003. http://dx.doi.org/10.1116/1.5008988.

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Li, Yingjie, Xiangliang Liu, Biaojun Zhang, Qun Zhao, Ping Ning, and Senlin Tian. "Aquatic photochemistry of sulfamethazine: multivariate effects of main water constituents and mechanisms." Environmental Science: Processes & Impacts 20, no. 3 (2018): 513–22. http://dx.doi.org/10.1039/c7em00548b.

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Ghattas, Badih, and Diane Manzon. "Machine Learning Alternatives to Response Surface Models." Mathematics 11, no. 15 (2023): 3406. http://dx.doi.org/10.3390/math11153406.

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In the Design of Experiments, we seek to relate response variables to explanatory factors. Response Surface methodology (RSM) approximates the relation between output variables and a polynomial transform of the explanatory variables using a linear model. Some researchers have tried to adjust other types of models, mainly nonlinear and nonparametric. We present a large panel of Machine Learning approaches that may be good alternatives to the classical RSM approximation. The state of the art of such approaches is given, including classification and regression trees, ensemble methods, support vec

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Murakami, Kenya, Tatsuya Iizaka, Tomoji Kanno, Tetsuro Matsui, Makoto Shimosawa, and Akihiro Takano. "Improvement of Solar Cells Efficiency by Response Surface Method based on Multivariate Analysis Models." IEEJ Transactions on Electronics, Information and Systems 131, no. 8 (2011): 1424–30. http://dx.doi.org/10.1541/ieejeiss.131.1424.

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Pérez-Mateos, M., and Pilar Montero. "Response surface methodology multivariate analysis of properties of high-pressure-induced fish mince gel." European Food Research and Technology 211, no. 2 (2000): 79–85. http://dx.doi.org/10.1007/s002179900115.

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Su, Pei-Lan, and Yun-Shiow Chen. "Implementation of a genetic algorithm on MD-optimal designs for multivariate response surface models." Expert Systems with Applications 39, no. 3 (2012): 3207–12. http://dx.doi.org/10.1016/j.eswa.2011.09.007.

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He, Fei, Derek J. Posselt, Naveen N. Narisetty, Colin M. Zarzycki, and Vijayan N. Nair. "Application of Multivariate Sensitivity Analysis Techniques to AGCM-Simulated Tropical Cyclones." Monthly Weather Review 146, no. 7 (2018): 2065–88. http://dx.doi.org/10.1175/mwr-d-17-0265.1.

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Abstract This work demonstrates the use of Sobol’s sensitivity analysis framework to examine multivariate input–output relationships in dynamical systems. The methodology allows simultaneous exploration of the effect of changes in multiple inputs, and accommodates nonlinear interaction effects among parameters in a computationally affordable way. The concept is illustrated via computation of the sensitivities of atmospheric general circulation model (AGCM)-simulated tropical cyclones to changes in model initial conditions. Specifically, Sobol’s variance-based sensitivity analysis is used to ex

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Heinzle, J., S. Anders, S. Bode, et al. "Multivariate decoding of fMRI data." e-Neuroforum 18, no. 1 (2012): 1–16. http://dx.doi.org/10.1007/s13295-012-0026-9.

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AbstractThe advent of functional magnetic resonance imaging (fMRI) of brain function 20 years ago has provided a new methodology for non-invasive measurement of brain function that is now widely used in cognitive neuroscience. Traditionally, fMRI data has been analyzed looking for overall activity changes in brain regions in response to a stimulus or a cognitive task. Now, recent developments have introduced more elaborate, content-based analysis techniques. When multivariate decoding is applied to the detailed patterning of regionally-specific fMRI signals, it can be used to assess th

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Behera, Amar Kumar, Jun Gu, Bert Lauwers, and Joost R. Duflou. "Influence of Material Properties on Accuracy Response Surfaces in Single Point Incremental Forming." Key Engineering Materials 504-506 (February 2012): 919–24. http://dx.doi.org/10.4028/www.scientific.net/kem.504-506.919.

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The ability to manufacture accurate parts in single point incremental forming is dependent on the capability to properly predict accuracy response surfaces of individual features and feature interaction combinations formed using uncompensated tool paths. Recent studies show that the accuracy profiles obtained are dependent on the choice of material used for forming, in terms of magnitude, geometric shape and nature of errors (under forming and over forming). In this paper, an attempt is made to capture the effect of material properties on the accuracy response surfaces. The response surfaces a

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Majumder, Himadri, and Kalipada Maity. "Optimization of Machining Condition in WEDM for Titanium Grade 6 Using MOORA Coupled with PCA — A Multivariate Hybrid Approach." Journal of Advanced Manufacturing Systems 16, no. 02 (2017): 81–99. http://dx.doi.org/10.1142/s0219686717500068.

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This paper represents a multivariate hybrid approach, combining Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Principal Component Analysis (PCA) to optimize different correlated responses during Wire Electrical Discharge Machining (WEDM) process of titanium grade 6. The response parameters selected are the average cutting speed, average Kerf width and average surface roughness (Ra). All of them have been studied in terms of pulse-ON time, pulse-OFF time, wire feed and wire tension. As indicated by Taguchi’s signal-to-noise ratio, the optimum process parameters were ac

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Fuchs, David, Steven Sherwood, and Daniel Hernandez. "An Exploration of Multivariate Fluctuation Dissipation Operators and Their Response to Sea Surface Temperature Perturbations." Journal of the Atmospheric Sciences 72, no. 1 (2015): 472–86. http://dx.doi.org/10.1175/jas-d-14-0077.1.

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Abstract The fluctuation–dissipation theorem (FDT) has been proposed as a method of calculating the mean response of the atmosphere to small external perturbations. This paper explores the application of the theory under time and space constraints that approximate realistic conditions. To date, most applications of the theory in the climate context used univariate, low-dimensional-state representations of the climate system and an arbitrarily long sample size. The authors explore high-dimensional multivariate FDT operators and the lower bounds of sample size needed to construct skillful operat

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Lao, Yi, John David, Arman Torosian, Wensha Yang, and Richard Tuli. "A novel morphologic and metabolic feature fused treatment response evaluation pipeline for pancreatic adenocarcinoma patients." Journal of Clinical Oncology 36, no. 4_suppl (2018): 311. http://dx.doi.org/10.1200/jco.2018.36.4_suppl.311.

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311 Background: Adaptive radiation therapy for pancreatic adenocarcinoma (PA) relies on accurate treatment response assessment. Traditional RECIST criteria poorly characterize tumors with complex morphological features, while PET imaging inefficiently detects tumors with intrinsically low standardized uptake value (SUV). Here, we performed regional comparisons of 3D intact PA surfaces pre and post chemoradiotherapy (CRT) utilizing surface measurements containing both morphological and metabolic features to better assess response. Methods: Twenty-one locally advanced PA patients with pre- and 6

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Birhanu, Yohanis, and Seyoum Leta. "Multivariate Optimization of Pb2+ Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology." Molecules 26, no. 21 (2021): 6477. http://dx.doi.org/10.3390/molecules26216477.

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Lead pollution is a severe health concern for humankind. Utilizing water contaminated with lead can cause musculoskeletal, renal, neurological, and fertility impairments. Therefore, to remove lead ions, proficient, and cost-effective methods are imperative. In this study, the Odaracha soil which is traditionally used by the local community of the Saketa District was used as a novel low-cost technology to adsorb lead ions. Odaracha adsorbent was characterized by scanning electron microscopy and Fourier transform infrared spectroscopy. The adsorption process followed the batch adsorption experim

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Balakrishnan, Narayanaswamy, Hong Qin, and Kashinath Chatterjee. "Multivariate Bayesian U-type asymmetric designs for non parametric response surface prediction under correlated errors." Communications in Statistics - Theory and Methods 46, no. 9 (2016): 4226–39. http://dx.doi.org/10.1080/03610926.2015.1080843.

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Ahmad, Tanvir, and Munir Akhtar. "Efficient Response Surface Designs for the Second-Order Multivariate Polynomial Model Robust to Missing Observation." Journal of Statistical Theory and Practice 9, no. 2 (2014): 361–75. http://dx.doi.org/10.1080/15598608.2014.910479.

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Qin, Li, Wei Lin Peng, and Wei Han. "High-Order RSM for Dynamic Reliability of UHV Transmission Tower." Applied Mechanics and Materials 799-800 (October 2015): 1295–98. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.1295.

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As transmission tower system has the characteristics of large-span and spatial truss structure, the study of the reliability is also developed on the basis of space truss research and large-span structure system. As simple and suitable, RSM (response surface method), in particular, quadratic response surface without considering the cross term is often used in reliability calculation. However, strong nonlinear limit that corresponding to a complex surface, the accuracy of quadratic response surface is inadequate, causing greater reliability estimation error. High-order response surface solves i

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De Benedetto, Giuseppe, Sabrina Di Masi, Antonio Pennetta, and Cosimino Malitesta. "Response Surface Methodology for the Optimisation of Electrochemical Biosensors for Heavy Metals Detection." Biosensors 9, no. 1 (2019): 26. http://dx.doi.org/10.3390/bios9010026.

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Herein, we report the application of a chemometric tool for the optimisation of electrochemical biosensor performances. The experimental design was performed based on the responses of an amperometric biosensor developed for metal ions detection using the flow injection analysis. The electrode preparation and the working conditions were selected as experimental parameters, and thus, were modelled by a response surface methodology (RSM). In particular, enzyme concentration, flow rates, and number of cycles were reported as continuous factors, while the sensitivities of the biosensor (S, µA·mM−1)

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Cevheroğlu Çıra, Sümeyra, Ahmet Dağ, and Askeri Karakuş. "Application of Response Surface Methodology and Central Composite Inscribed Design for Modeling and Optimization of Marble Surface Quality." Advances in Materials Science and Engineering 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/2349476.

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Factors affecting the final surface quality of polished marble are not yet fully understood. Clarifying these factors for optimization of multivariate polishing process by trial and error method is difficult, time-consuming, and costly task. In this study, the empirical practices were carried out using an experimental design, specifically, a central composite inscribed (CCI) design. The factors considered in CCI design were belt speed, rotational speed, and pressure of the polishing head, and the responses were surface glossiness and roughness. Mathematical models describing responses were pro

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Iqbal, M., I. Ahmad, S. M. Hussain, R. A. Khera, T. H. Bokhari, and M. A. Shehzad. "Optimization of pre-sowing magnetic field doses through RSM in pea." International Agrophysics 27, no. 3 (2013): 265–73. http://dx.doi.org/10.2478/v10247-012-0094-7.

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Abstract Seed pre-sowing magnetic field treatment was reported to induce biochemical and physiological changes. In the present study, response surface methodology was used for deduction of optimal magnetic field doses. Improved growth and yield responses in the pea cultivar were achieved using a rotatable central composite design and multivariate data analysis. The growth parameters such as root and shoot fresh masses and lengths as well as yield were enhanced at a certain magnetic field level. The chlorophyll contents were also enhanced significantly vs. the control. The low magnetic field st

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de Albuquerque de Carvalho, Marcelle Lins, Daniele Fernandes Carvalho, Edelvio de Barros Gomes, et al. "Optimisation of Cellulase Production by Penicillium funiculosum in a Stirred Tank Bioreactor Using Multivariate Response Surface Analysis." Enzyme Research 2014 (June 25, 2014): 1–8. http://dx.doi.org/10.1155/2014/703291.

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Increasing interest in the production of second-generation ethanol necessitates the low-cost production of enzymes from the cellulolytic complex (endoglucanases, exoglucanases, and β-glucosidases), which act synergistically in cellulose breakdown. The present work aimed to optimise a bioprocess to produce these biocatalysts from the fungus Penicillium funiculosum ATCC11797. A statistical full factorial design (FFD) was employed to determine the optimal conditions for cellulase production. The optimal composition of culture media using Avicel (10 g·L−1) as carbon source was determined to includ

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Sylvi, Pismia, Purhadi Purhadi, Kartika Fithriasari, and Sutikno Sutikno. "The t-Distribution Approach to the Second-Order Multiresponse Surface Model of Paracetamol Tablets Quality Characteristics." Applied Sciences 13, no. 6 (2023): 3951. http://dx.doi.org/10.3390/app13063951.

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The normal distribution approach is often used in regression analysis at the Response Surface Methodology (RSM) modeling stage. Several studies have shown that the normal distribution approach has drawbacks compared to the more robust t-distribution approach. The t-distribution approach is found to control size much more successfully in small samples compared to existing methods in the presence of moderately heavy tails. In many RSM applications, there is more than one response (multiresponse), which is usually correlated with each other (multivariate). On the other hand, the actual response s

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Puiu, Mihaela, Lucian-Gabriel Zamfir, Valentin Buiculescu, Angela Baracu, Cristina Mitrea, and Camelia Bala. "Significance Testing and Multivariate Analysis of Datasets from Surface Plasmon Resonance and Surface Acoustic Wave Biosensors: Prediction and Assay Validation for Surface Binding of Large Analytes." Sensors 18, no. 10 (2018): 3541. http://dx.doi.org/10.3390/s18103541.

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In this study, we performed uni- and multivariate data analysis on the extended binding curves of several affinity pairs: immobilized acetylcholinesterase (AChE)/bioconjugates of aflatoxin B1(AFB1) and immobilized anti-AFB1 monoclonal antibody/AFB1-protein carriers. The binding curves were recorded on three mass sensitive cells operating in batch configurations: one commercial surface plasmon resonance (SPR) sensor and two custom-made Love wave surface-acoustic wave (LW-SAW) sensors. We obtained 3D plots depicting the time-evolution of the sensor response as a function of analyte concentration

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Liu, Shuangshuang, Min Yao, Shiyue Chen, and Xingzhong Yuan. "Surface Sediment Diatom Assemblages Response to Water Environment in Dongping Lake, North China." Water 13, no. 3 (2021): 339. http://dx.doi.org/10.3390/w13030339.

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The relationship between the diatom taxa preserved in surface lake sediments and environmental variables in Dongping Lake was explored using multivariate statistical methods. The statistical analysis showed that the lake was eutrophicated in all seasons. Transparency, chlorophyll a (Chla) and total phosphorus (TP) were the dominant environmental factors in spring and summer, and NH4+-N and chemical oxygen demand (COD) were the dominant environmental factors in autumn and winter. Sixteen genera and 43 species of diatom were found in the surface sediments, and the dominant diatom genera were Aul

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Isiyaka, Hamza Ahmad, Khairulazhar Jumbri, Nonni Soraya Sambudi, et al. "Adsorption of dicamba and MCPA onto MIL-53(Al) metal–organic framework: response surface methodology and artificial neural network model studies." RSC Advances 10, no. 70 (2020): 43213–24. http://dx.doi.org/10.1039/d0ra07969c.

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Shea, J. M., F. S. Anslow, and S. J. Marshall. "Hydrometeorological relationships on Haig Glacier, Alberta, Canada." Annals of Glaciology 40 (2005): 52–60. http://dx.doi.org/10.3189/172756405781813465.

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AbstractWe investigate the relationships between meteorological, hydrological and glaciological data collected at Haig Glacier, Alberta, Canada, for the 2002 and 2003 ablation seasons. Correlation, lag cross-correlation and multivariate regression analyses are employed to assess the seasonal evolution of relationships between temperature, temperature residuals, total daily radiation, albedo, accumulation-area ratio (AAR) and total daily discharge (Qi). Early-season melt is temperature-dependent, when AAR remains high and the hydraulic properties of the snowpack limit both diurnal discharge var

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Wu, Fengfang, Zhiwei Wu, Xiaoyan Wang, Yunliang Liu, and Qing Ye. "High-Precision Detection of Cellular Drug Response Based on SERS Spectrum and Multivariate Statistical Analysis." Biosensors 13, no. 2 (2023): 241. http://dx.doi.org/10.3390/bios13020241.

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The rapid development of personalized medicine places high demands on the control of drug dose and cellular drug response to provide patients with better curative effects and low side effects. To solve the problem of low detection accuracies of the cell-counting kit-8 (CCK8) method, a detection method based on surface-enhanced Raman spectroscopy (SERS) of cell-secreted proteins was adopted to evaluate the concentration of the anticancer drug cisplatin and the cellular drug response of nasopharyngeal carcinoma. CNE1 and NP69 cell lines were used to evaluate cisplatin response. The results showe

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Rossel, R. A. Viscarra, and A. B. McBratney. "A response-surface calibration model for rapid and versatile site-specific lime-requirement predictions in south-eastern Australia." Soil Research 39, no. 1 (2001): 185. http://dx.doi.org/10.1071/sr99131.

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The development of response-surface calibration models that may be used in conjunction with the lime requirement buffer methods is described. The buffer methods tested were the Woodruff, New Wooruff, Mehlich, and Shoemaker, McLean and Pratt lime-requirement buffers. Model predictions were compared with those obtained from multivariate models and buffer methods calibrated using conventional linear regressions. The multivariate models described lime requirement as a function of a number of soil variables. All of the models were validated against soil : CaCO 3 incubations using a statistical jack

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Mullen, Steven F. "Toward a predictive theoretical model for osmolality rise with non-humidified incubation: a randomized, multivariate response-surface study." Human Reproduction 36, no. 5 (2021): 1230–41. http://dx.doi.org/10.1093/humrep/deab015.

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Abstract STUDY QUESTION What factors associated with embryo culture techniques contribute to the rate of medium osmolality change over time in an embryo culture incubator without added humidity? SUMMARY ANSWER The surface area-to-volume ratio of culture medium (surface area of the medium exposed to an oil overlay), as well as the density and height of the overlaying oil, all interact in a quantitative way to affect the osmolality rise over time. WHAT IS KNOWN ALREADY Factors such as medium volume, different oil types, and associated properties, individually, can affect osmolality change during

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Tolcha, Teshome, Tura Gemechu, Said Al-Hamimi, Negussie Megersa, and Charlotta Turner. "High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology." Molecules 25, no. 4 (2020): 1012. http://dx.doi.org/10.3390/molecules25041012.

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The excessive use of pesticides is a serious health problem due to their toxicity and bioaccumulation through the food chain. Due to the complexity of foods, the analysis of pesticides is challenging often giving large matrix effects and co-extracted compounds. To overcome this problem, a selective and “green” supercritical fluid extraction method was developed, using neat carbon dioxide as a solvent at pressures of up to 800 bars. A Box–Behnken response surface experimental design was used, with the independent variables of density (0.70−1.0 g mL−1), temperature (40−70 °C), and volume (10−40

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Attimarad, Mahesh, Katharigatta Narayanaswamy Venugopala, Muhammad S. Chohan, et al. "Multivariate Optimization of Chromatographic Conditions for Rapid Simultaneous Quantification of Antidiarrheal Drugs in Formulation Using Surface Response Methodology." Separations 9, no. 5 (2022): 103. http://dx.doi.org/10.3390/separations9050103.

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A combination of antibiotics and antiprotozoal and antisecretory medicines has been prescribed for the treatment of diarrhea. A rapid, reproducible liquid chromatographic procedure was established for the concurrent analysis of metronidazole (MET), ofloxacin (OFL), and racecadotril (RAC) in suspension. The Box–Behnken design, a full factorial multivariate optimization technique, was utilized to optimize chromatographic parameters with fewer runs. The separation of MET, OFL, and RAC was accomplished within 3.2 min, using a Zorbax C18 high-performance liquid chromatography column with a simple m

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Liu Qimeng, 刘其蒙, 黄俊 Huang Jun, 王克鸿 Wang Kehong, and 周琦 Zhou Qi. "Multivariate Nonlinear Regression Model of Laser Fusion in vitro Skin Tissue Incision Performance Based on Response Surface Methodology." Chinese Journal of Lasers 45, no. 8 (2018): 0807002. http://dx.doi.org/10.3788/cjl201845.0807002.

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Lynch, Amanda, David McGinnis, William L. Chapman, and Jeffrey S. Tilley. "A multivariate comparison of two land-surface models integrated into an Arctic Regional Climate System model." Annals of Glaciology 25 (1997): 127–31. http://dx.doi.org/10.3189/s0260305500013914.

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Different vegetation models impact the atmospheric response of a regional climate model in different ways, and hence have an impact upon the ability of that model to match an observed climatology. Using a multivariate principal-component analysis, we investigate the relationships between several land-surface models (BATS, LSM) coupled to a regional climate model, and observed climate parameters over the North Slope of Alaska. In this application, annual cycle simulations at 20 km spatial resolution are compared with European Centre for Medium-Range Weather Forecasts (ECMWF) climatology. Initia

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Lynch, Amanda, David McGinnis, William L. Chapman, and Jeffrey S. Tilley. "A multivariate comparison of two land-surface models integrated into an Arctic Regional Climate System model." Annals of Glaciology 25 (1997): 127–31. http://dx.doi.org/10.1017/s0260305500013914.

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Different vegetation models impact the atmospheric response of a regional climate model in different ways, and hence have an impact upon the ability of that model to match an observed climatology. Using a multivariate principal-component analysis, we investigate the relationships between several land-surface models (BATS, LSM) coupled to a regional climate model, and observed climate parameters over the North Slope of Alaska. In this application, annual cycle simulations at 20 km spatial resolution are compared with European Centre for Medium-Range Weather Forecasts (ECMWF) climatology. Initia

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Mao, Hu Ping, Yi Zhong Wu, and Li Ping Chen. "Data Driven Multivariate Adaptive Regression Splines Based Simulation Optimization." Applied Mechanics and Materials 44-47 (December 2010): 3800–3806. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3800.

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This paper proposes a data driven based optimization approach which combines augmented Lagrangian method, MARS with effective data processing. In the approach, an expensive simulation run is required if and only if a nearby data point does not exist in the cumulatively growing database. Over time the database matures and is enriched as more and more optimizations have been performed. MARS is a self-adaptive regression process, which fits in with the multidimensional problems, and uses a modified recursive partitioning strategy to simplify high-dimensional problems into smaller yet highly accur

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FROST, F. J., T. R. KUNDE, T. B. MULLER, et al. "Serological responses to Cryptosporidium antigens among users of surface- vs. ground-water sources." Epidemiology and Infection 131, no. 3 (2003): 1131–38. http://dx.doi.org/10.1017/s0950268803001341.

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Cryptosporidium oocysts are commonly detected in surface-derived drinking water. However, the public health significance of these findings is unclear. This study compared serological responses to two Cryptosporidium antigen groups for blood donors and college students using chlorinated and filtered river water vs. ground-water sources. The surface water received agricultural and domestic sewage discharges upstream. Participants from the surface-water city had a higher relative prevalence (RP) of a serological response to the 15/17-kDa antigen group (72·3 vs. 52·4%, RP=1·36, P<0·001) and to

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Wang, Yan, Li Wang, and Xiyang Zhang. "Modeling of processing parameters for the cutting of rolled tungsten plates via abrasive water jet." AIP Advances 12, no. 9 (2022): 095103. http://dx.doi.org/10.1063/5.0114050.

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Tungsten is a promising candidate for plasma-facing material in tokamaks. This study aims at determining whether the cut-surface roughness of rolled tungsten plates (RTPs) can be improved using an abrasive water jet (AWJ) through tests combined with modeling of the cutting-process parameters. Based on the key factors affecting the cut-surface roughness, the magnitude and type of test factors were increased, compared with the previous study. A batch test was designed and conducted to investigate the use of an AWJ to cut an RTP and obtain more comprehensive sample data. In addition, the multivar

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Peng, Jiyu, Lanhan Ye, Tingting Shen, Fei Liu, Kunlin Song, and Yong He. "Fast Determination of Copper Content in Tobacco (Nicotina tabacum L.) Leaves Using Laser-Induced Breakdown Spectroscopy with Univariate and Multivariate Analysis." Transactions of the ASABE 61, no. 3 (2018): 821–29. http://dx.doi.org/10.13031/trans.12393.

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Abstract. Fast and effective measures to determine heavy metals play an important role in ensuring food quality and safety. In this experiment, laser-induced breakdown spectroscopy (LIBS) was used to detect copper content (Cu) in tobacco ( L.) leaves. The experimental parameters for detection, including laser energy, delay time, and camera gate width, were optimized by response surface methodology (RSM). Univariate analysis and multivariate analysis, including partial least squares regression (PLSR) and extreme learning machine (ELM), were used to establish calibration models. In addition, dif

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Dandamudi, Santhoshi Priya, Ananda Kumar Chettupalli, Shanthi Priya Dargakrishna, Mounika Nerella, Ramkoteswar Rao Amara, and Vinod Kumar Yata. "Response Surface Method for the Simultaneous Estimation of Atorvastatin and Olmesartan." Trends in Sciences 19, no. 18 (2022): 5799. http://dx.doi.org/10.48048/tis.2022.5799.

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The simultaneous estimation of Atorvastatin Calcium (ATS) and Olmesartan Medoxomil (OLM) in bulk and pharmaceutical dosage forms, a new, quick, and cost-effective Reverse Phase High Performance Liquid Chromatography (RP-HPLC) method has been developed. The experimental design was used to achieve multivariate optimization of the RP-HPLC experimental conditions. Three independent variables were used to create mathematical models: Acetonitrile content in the mobile phase composition, buffer pH, and flow rate. Here, the applied model was central composite design (CCD) to research the response surf

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Dasari, Siva Krishna, Abbas Cheddad, and Petter Andersson. "Predictive modelling to support sensitivity analysis for robust design in aerospace engineering." Structural and Multidisciplinary Optimization 61, no. 5 (2020): 2177–92. http://dx.doi.org/10.1007/s00158-019-02467-5.

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AbstractThe design of aircraft engines involves computationally expensive engineering simulations. One way to solve this problem is the use of response surface models to approximate the high-fidelity time-consuming simulations while reducing computational time. For a robust design, sensitivity analysis based on these models allows for the efficient study of uncertain variables’ effect on system performance. The aim of this study is to support sensitivity analysis for a robust design in aerospace engineering. For this, an approach is presented in which random forests (RF) and multivariate adapt

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Révelard, Adèle, Claude Frankignoul, and Young-Oh Kwon. "A Multivariate Estimate of the Cold Season Atmospheric Response to North Pacific SST Variability." Journal of Climate 31, no. 7 (2018): 2771–96. http://dx.doi.org/10.1175/jcli-d-17-0061.1.

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The Generalized Equilibrium Feedback Analysis (GEFA) is used to distinguish the influence of the Oyashio Extension (OE) and the Kuroshio Extension (KE) variability on the atmosphere from 1979 to 2014 from that of the main SST variability modes, using seasonal mean anomalies. Remote SST anomalies are associated with each single oceanic regressor, but the multivariate approach efficiently confines their SST footprints. In autumn [October–December (OND)], the OE meridional shifts are followed by a North Pacific Oscillation (NPO)-like signal. The OE influence is not investigated in winter [Decembe

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Zhang, Wenlin, Zhiqiang Huang, Minqiang Kang, et al. "Research on multivariate nonlinear regression model of specific energy of rock with laser drilling based on response surface methodology." Optics Communications 489 (June 2021): 126865. http://dx.doi.org/10.1016/j.optcom.2021.126865.

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Khataee, A. R., M. Safarpour, A. Naseri, and M. Zarei. "Photoelectro-Fenton/nanophotocatalysis decolorization of three textile dyes mixture: Response surface modeling and multivariate calibration procedure for simultaneous determination." Journal of Electroanalytical Chemistry 672 (May 2012): 53–62. http://dx.doi.org/10.1016/j.jelechem.2012.03.010.

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Halios, Christos H., Costas G. Helmis, Helena A. Flocas, Stephan Nyeki, and Dimosthenis N. Assimakopoulos. "On the variability of the surface environment response to synoptic forcing over complex terrain: a multivariate data analysis approach." Meteorology and Atmospheric Physics 118, no. 3-4 (2012): 107–15. http://dx.doi.org/10.1007/s00703-012-0209-5.

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Zhuang, Ming, Wei Yao, Lijun Han, et al. "Multivariate response surface methodology assisted modified QuEChERS method for the rapid determination of 39 pesticides and metabolites in medlar." Ecotoxicology and Environmental Safety 261 (August 2023): 115102. http://dx.doi.org/10.1016/j.ecoenv.2023.115102.

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