Results 71 to 80 of about 5,519 (170)

Inferential Statistics Using Partial Least Square Regression (PLSR) for Chemical Processes. Case Study: A Fixed Bed Catalytic Reactor

, 2019
The complexity of processes in the modern industry (many kinetics and fluid dynamic variables) makes to think in few data due to high costs for experimental data collection. Therefore, it is important to consider statistical models, such as the partial least square regression (PLSR) method that provide an adequate solution to the multicollinearity in ...
Serny Klaus A, Ruette Fernando, Camacho Jose M, Cristóbal, Vega   +3 more
openaire   +2 more sources

Discrimination of Lard and other Edible Fats after Heating Treatments using Partial Least Square Regression (PLSR), Principal Component Regression (PCR) and Linear Support Vector Machine Regression (SVMR).

Journal of Physics: Conference Series, 2019
Abstract Discrimination between lard and other edibles fats is a challenging task for halal determination especially after the fats were heated at high temperature for a long period. In this study, three multivariate regression models such as partial least square regression (PLSR), principal component regression (PCR) and support vector ...
Nor Aishah Mohd Salleh, Mohd Sukri Hassan   +1 more
openaire   +1 more source

Managing Spectral Intensity Variations With In‐Line Fiber‐Optic High‐Volume Noncontact Raman Probes: A Strategy Exploration

Journal of Raman Spectroscopy, Volume 57, Issue 8, Page 1325-1338, August 2026.
Robust quantification in noncontact Raman sensing requires dedicated correction of working distance dependent background effects, while laser power variations are readily stabilized using internal reference signals. Chemically relevant Raman intensity can be preserved for bulk composition measurements, under variable laser power and working distance ...
Tiril Aurora Lintvedt, Petter Vejle Andersen, Jens Petter Wold, Nils Kristian Afseth   +3 more
wiley   +1 more source

Amino acid-based risk stratification model improves prognostic precision in diffuse large B-cell lymphoma

Cancer Cell International
Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma. We hope to provide a new conceptual basis for evaluating patient prognosis and guiding diagnosis and treatment.
Chaowei Zhang, Mingyue Cai, Weiyi Yao, Qing Hong, Yuxuan Han, Na Chen   +5 more
doaj   +1 more source

Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR)

Journal of Chemistry, 2018
Fourier-transform infrared (FTIR) offers the advantages of rapid analysis with minimal sample preparation. FTIR in combination with multivariate approach, particularly partial least squares regression (PLSR), has been widely used for adulterant analysis. Limited study has been done to compare PLSR with other regression strategies.
Siong Fong Sim, Min Xuan Laura Chai, Amelia Laccy Jeffrey Kimura   +2 more
openaire   +2 more sources

Deep Soil Drying Increases Dryland Apple Tree's Eco‐Physiological Sensitivity to Atmospheric Drought

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Dryland tree survival critically depends on deep soil water (DSW), particularly during dry spells. However, DSW is often limited and can be exhausted during periods of active tree growth, as recharge from precipitation is minimal. The eco‐physiological responses of trees to compound droughts (i.e., combined deep soil and atmospheric droughts ...
Min Yang, Shaofei Wang, Xiaodong Gao, Hailong He, Bingcheng Si, Xining Zhao   +5 more
wiley   +1 more source

Robust estimation of key leaf traits from reflectance spectroscopy of herbarium specimens

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2364-2378, August 2026.
Abstract Community‐wide efforts to digitize herbarium specimens have facilitated novel uses of specimen data across scales. However, the need for destructive sampling has prevented large‐scale examination of foliar functional traits. We demonstrate that nondestructive reflectance spectra are an effective tool for estimating leaf traits from herbarium ...
Aaron K. Lee, Lauren Vander Esch, Jin Oong, Brett Fredericksen, Juan Ramirez‐Lerma, J. Antonio Guzmán, Dawson White, Tim Whitfeld, Jose Eduardo Meireles, Jeannine Cavender‐Bares, Ya Yang   +10 more
wiley   +1 more source

Quantitative Analysis of Panax ginseng by FT-NIR Spectroscopy

Journal of Analytical Methods in Chemistry, 2014
Near-infrared spectroscopy (NIRS), a rapid and efficient tool, was used to determine the total amount of nine ginsenosides in Panax ginseng. In the study, the regression models were established using multivariate regression methods with the results from ...
Xin-fang Xu, Li-xing Nie, Li-li Pan, Bian Hao, Shao-xiong Yuan, Rui-chao Lin, Hai-bo Bu, Dan Wang, Ling Dong, Xiang-ri Li   +9 more
doaj   +1 more source

Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance

New Phytologist, Volume 251, Issue 3, Page 975-995, August 2026.
Summarised methodology for metabolite biomarker discovery and genomic targets selection for those metabolites to predict high‐throughput phenotypic and agronomic traits of interest for direct uptake in breeding programmes. Summary Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to ...
Agyeya Pratap, Arash Fazeli, Ali Bandehagh, Nicolas L. Taylor   +3 more
wiley   +1 more source

Predictive modelling of the water contact angle of surfaces using attenuated total reflection – Fourier transform infrared (ATR-FTIR) chemical imaging and partial least squares regression (PLSR)

The Analyst, 2018
A simple method to model and predict the surface wettability using a combination of ATR-FTIR imaging and PLSR modelling.
S. Mukherjee, J. Á. Martínez-González, D. P. Dowling, A. A. Gowen   +3 more
openaire   +4 more sources