Multiple linear regression models to simulate spore yields of Bacillus amyloliquefaciens BS13 through optimization of medium composition
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Applied Biochemistry"
DOI: 10.1002/bab.2315
Abstract: Bacillus amyloliquefaciens is a food spoilage spore‐forming bacterium. Its spores are useful for multiple biotechnological applications. Nevertheless, few reports are available regarding the achievement of a high cell density and good sporulation effectiveness under fermentation… read more here.
Keywords: linear regression; strain bs13; composition; bacillus amyloliquefaciens ... See more keywords
Development of Multiple Linear Regression Models for Predicting Chronic Iron Toxicity to Aquatic Organisms
Sign Up to like & getrecommendations! Published in 2023 at "Environmental Toxicology and Chemistry"
DOI: 10.1002/etc.5623
Abstract: We developed multiple linear regression (MLR) models for predicting iron (Fe) toxicity to aquatic organisms for use in deriving site‐specific water quality guidelines (WQGs). The effects of dissolved organic carbon (DOC), hardness, and pH on… read more here.
Keywords: linear regression; toxicology; insects; chemistry ... See more keywords
Bootstrapping multiple linear regression after variable selection
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Papers"
DOI: 10.1007/s00362-019-01108-9
Abstract: This paper suggests a method for bootstrapping the multiple linear regression model $$Y = \beta _1 + \beta _2 x_2 + \cdots + \beta _p x_p + e$$Y=β1+β2x2+⋯+βpxp+e after variable selection. We develop asymptotic theory… read more here.
Keywords: variable selection; multiple linear; linear regression; selection ... See more keywords
Multiple linear regression and regression with time series error models in forecasting PM10 concentrations in Peninsular Malaysia
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-017-6419-z
Abstract: Frequent haze occurrences in Malaysia have made the management of PM10 (particulate matter with aerodynamic less than 10 μm) pollution a critical task. This requires knowledge on factors associating with PM10 variation and good forecast… read more here.
Keywords: regression; malaysia; linear regression; multiple linear ... See more keywords
Prediction of slope stability using multiple linear regression (MLR) and artificial neural network (ANN)
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-017-3167-x
Abstract: The stability problem of natural slopes, filled slopes, and cut slopes are commonly encountered in Civil Engineering Projects. Predicting the slope stability is an everyday task for geotechnical engineers. In this paper, a study has… read more here.
Keywords: method; multiple linear; slope stability; using multiple ... See more keywords
Prediction of soil water infiltration using multiple linear regression and random forest in a dry flood plain, eastern Iran
Sign Up to like & getrecommendations! Published in 2020 at "Catena"
DOI: 10.1016/j.catena.2020.104715
Abstract: Abstract Knowledge of the spatial variation of soil infiltration is necessary for managing water conservation, salinity, and precision agriculture in drylands. In this study, the spatial variation of soil infiltration was investigated using digital soil… read more here.
Keywords: linear regression; infiltration; multiple linear; soil ... See more keywords
Evaluation of a multiple linear regression model and SARIMA model in forecasting 7Be air concentrations.
Sign Up to like & getrecommendations! Published in 2017 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2017.03.029
Abstract: This study has been partially supported by the REM program of the Nuclear Safety Council of Spain (SRA/2071/2015/227.06). We are also grateful to the UPV's weather station for providing the atmospheric information used in this… read more here.
Keywords: linear regression; multiple linear; regression model; model sarima ... See more keywords
Development of models predicting biodegradation rate rating with multiple linear regression and support vector machine algorithms.
Sign Up to like & getrecommendations! Published in 2020 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2020.126666
Abstract: Biodegradation is a significant process for removing organic chemicals from water, soil and sediment environments, and therefore biodegradability is critical to evaluate the environmental persistence of organic chemicals. In this study, based on a dataset… read more here.
Keywords: biodegradation rate; biodegradation; multiple linear; rate rating ... See more keywords
Simplified multiple linear regression models for the estimation of heating values of refuse derived fuels
Sign Up to like & getrecommendations! Published in 2021 at "Fuel"
DOI: 10.1016/j.fuel.2021.120541
Abstract: Abstract With the increasing concerns about fossil fuel’s impact on the environment and its expected depletion, the world strives for new and alternative energy sources. It is believed that biomass and residues are crucial tools… read more here.
Keywords: simplified multiple; multiple linear; regression models; linear regression ... See more keywords
Analysis of unstable degradation impurities of a benzodiazepine and their quantification without isolation using multiple linear regression
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Pharmaceutical and Biomedical Analysis"
DOI: 10.1016/j.jpba.2019.01.028
Abstract: HighlightsMolibresib, a benzodiazepine, degrades reversibly in acidic conditions.Two degradation impurities could not be isolated for relative response factor (RRF) determination by traditional means.The RRFs of the impurities were determined without isolation using HPLC‐UV data and… read more here.
Keywords: degradation; linear regression; analysis; degradation impurities ... See more keywords
Experimental study on the effects of feedstock on the properties of biodiesel using multiple linear regressions
Sign Up to like & getrecommendations! Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.06.067
Abstract: Abstract Biodiesel is a very promising alternative fuel that has its place in the future energy mix. The dependence of fuel properties on fatty acids profile will influence the choice of feedstock or appropriate treatment… read more here.
Keywords: experimental study; multiple linear; feedstock; linear regressions ... See more keywords