Visible and near-infrared (Vis-NIR) diffuse reflectance spectroscopy with partial least squares (PLS) regression is a quick, cost-effective, and promising technology for predicting soil properties. The advantage of PLS regression is that all available wavebands can be incorporated in the model, while earlier studies indicate that PLS models include redundant wavelengths, and selecting specific ...

The partial least squares (PLS) regression is a new multivariate data analysis method. In this paper, based on the ideas of PLS model and feature fusion, a new non-iterative PLS algorithm and a novel method of feature fusion are proposed. The proposed method comprises three steps: firstly, extracting two sets of feature vectors with the same pattern and establishing PLS criterion function betwe...

Triterpenes are natural products of plants that can defend against microorganisms and various stresses. Oxidosqualene cyclase (OSC), the key rate-limiting enzyme triterpene biosynthetic pathway, catalyzes 2,3-oxidosqualene into sterols triterpenes with different skeletons through chair–boat–chair (CBC) conformation or chair–chair–chair (CCC) conformation. They were expanded in mainly by tandem ...

Thin-film organic solar cell (OSC) performances have been investigated in detail by improved analytical computation this work. The generation of excitons inside OSC has estimated using the optical transfer matrix method (OTMM) to include phenomena incident light. dissociation these into free charge carriers find most appropriate one. evaluated an solution electrical transport equations includin...

The rapid development of Off-site Construction (OSC) has closely linked it to Lean (LC). importance design been highlighted in LC as the primary means produce value clients. However, adoption lean thinking is still modest design. Although most research target theories and their or OSC, there limited understanding terminological cross-sectoral problems without sufficiently considering different ...

“Kernel Logistic PLS” (KL-PLS), a new tool for classification with performances similar to the most powerful statistical methods is described in this paper. KL-PLS is based on the principles of PLS generalized regression and learning via kernel. The successions of simple regressions, simple logistic regression and multiple logistic regressions on a small number of uncorrelated variables that ar...

The lack of proven screening tools for early detection and the high mortality of ovarian serous carcinoma (OSC), particularly high grade, have focused attention on identifying putative precursor lesions with distinct morphological and molecular characteristics. The finding of occult invasive and intraepithelial fallopian tube carcinomas in prophylactically removed specimens from asymptomatic hi...

The structure of the Open Sound Control (OSC) content format is introduced with historical context. The needs for temporal synchronization and dynamic range of audio control data are described in terms of accuracy, precision, bit-depth, bit-rate, and sampling frequency. Specific details are given for the case of instrumental gesture control, spatial audio control and synthesis algorithm control...

In this paper we present the results of the implementation of D-OSC: a prototype SISAL compiler for distributed-memory machines. The compiler is an extension of the Optimizing SISAL Compiler (OSC) version 12.9.1, it generates C code with calls to the message passing library MPI. The main goals of this implementation are to obtain a SISAL compiler that generates code for distributed-memory machi...

The problems of robust overlapping decentralized control for a class of multiarea longitudinal power systems are discussed in this paper. A special overlapping decomposition method is presented in terms of inclusion principle. Based on the decomposition, a new control method is formed by means of Linear Matrix Inequality (LMI) approach of Organically-Structured Control (OSC). The proposed metho...