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1. Application of Vis/SNIR hyperspectral imaging in ripeness classification of pear

Author:
Khodabakhshian, Rasool; Emadi, Bagher
Source:
International journal of food properties 2017 v.20 no.sup3 pp. S3149
ISSN:
1532-2386
Subject:
algorithms; data collection; discriminant analysis; firmness; hyperspectral imagery; least squares; models; pears; prediction; texture; wavelengths
Abstract:
... The objective of this research was to create supervised classification models of pear ripeness with the use of hyperspectral imaging system in the visible and short near infrared (425–1000 nm) regions. Spectra and images of 450 pear samples were studied, which were selected from three ripeness stages (unripe, ripe, and overripe). Three classification algorithms—partial least square-discriminant ana ...
DOI:
10.1080/10942912.2017.1354022

2. Evaluating the risk of phosphorus loss with a distributed watershed model featuring zero-order mobilization and first-order delivery

Author:
Li, Sisi; Zhang, Liang; Liu, Hongbin; Loáiciga, Hugo A.; Zhai, Limei; Zhuang, Yanhua; Lei, Qiuliang; Hu, Wanli; Li, Wenchao; Feng, Qi; Du, Yun
Source:
The Science of the total environment 2017 v.609 pp. 563-576
ISSN:
0048-9697
Subject:
algorithms; cost effectiveness; hydrologic models; land use; landscapes; mixed forests; nonpoint source pollution; orchards; paddies; phosphorus; pollutants; pollution control; risk; runoff; water quality; watersheds; China
Abstract:
... Many semi-distributed models that simulate pollutants' losses from watersheds do not handle well detailed spatially distributed and temporal data with which to identify accurate and cost-effective strategies for controlling pollutants issuing from non-point sources. Such models commonly overlook the flow pathways of pollutants across the landscape. This work aims at closing such knowledge gap by d ...
DOI:
10.1016/j.scitotenv.2017.07.173

3. Many-objective robust decision making for water allocation under climate change

Author:
Yan, Dan; Ludwig, Fulco; Huang, He Qing; Werners, Saskia E.
Source:
The Science of the total environment 2017 v.607-608 pp. 294-303
ISSN:
0048-9697
Subject:
algorithms; climate change; decision making; dry season; managers; models; researchers; river deltas; rivers; saltwater intrusion; uncertainty; water allocation; water shortages; watersheds; China
Abstract:
... Water allocation is facing profound challenges due to climate change uncertainties. To identify adaptive water allocation strategies that are robust to climate change uncertainties, a model framework combining many-objective robust decision making and biophysical modeling is developed for large rivers. The framework was applied to the Pearl River basin (PRB), China where sufficient flow to the del ...
DOI:
10.1016/j.scitotenv.2017.06.265

4. Modelling of airborne particulate matter concentration in underground stations using a two size-class conservation model

Author:
Walther, E.; Bogdan, M.; Cohen, R.
Source:
The Science of the total environment 2017 v.607-608 pp. 1313-1319
ISSN:
0048-9697
Subject:
aerosols; algorithms; equations; models; particulates; railroads; traffic
Abstract:
... This study presents an attempt of predictive modelling of airborne particulate matter in underground railway stations. The aerosol is represented by a set of simple, ordinary differential equations that describe apparent emission of two particles size-classes in relation with train traffic, ventilation and deposition. The parameters of the equations are identified numerically by a genetic algorith ...
DOI:
10.1016/j.scitotenv.2017.07.090

5. Comprehensive evaluation of candidate reference genes for gene expression studies in Lysiphlebia japonica (Hymenoptera: Aphidiidae) using RT-qPCR

Author:
Gao, Xue-Ke; Zhang, Shuai; Luo, Jun-Yu; Wang, Chun-Yi; Lü, Li-Min; Zhang, Li-Juan; Zhu, Xiang-Zhen; Wang, Li; Lu, Hui; Cui, Jin-Jie
Source:
Gene 2017 v.637 pp. 211-218
ISSN:
0378-1119
Subject:
Aphis gossypii; Lysiphlebia; adults; algorithms; diet; essential genes; gene expression; gene expression regulation; genomics; natural enemies; odorant receptors; parasitoids; quantitative polymerase chain reaction; reverse transcriptase polymerase chain reaction; ribosomal RNA; summer; China
Abstract:
... Lysiphlebia japonica (Ashmead) is a predominant parasitoid of cotton-melon aphids in the fields of northern China with a proven ability to effectively control cotton aphid populations in early summer. For accurate normalization of gene expression in L. japonica using quantitative reverse transcriptase-polymerase chain reaction (RT-qPCR), reference genes with stable gene expression patterns are ess ...
DOI:
10.1016/j.gene.2017.09.057

6. Discrimination of six tea categories coming from different origins depending on polyphenols, caffeine, and theanine combined with different discriminant analysis

Author:
Ning, Jingming; Cao, Qiong; Su, Huan; Zhu, Xiaofeng; Wang, Kai; Wan, Xiaochun; Zhang, Zhengzhu
Source:
International journal of food properties 2017 v.20 no.sup2 pp. 1838-1847
ISSN:
1532-2386
Subject:
algorithms; caffeine; discriminant analysis; epigallocatechin gallate; flavanols; gallic acid; high performance liquid chromatography; polyphenols; prediction; quantitative analysis; tea; theanine
Abstract:
... This study reported a quantitative method to discriminate six tea categories of 664 tea samples. The main components of tea including gallic acid (GA), caffeine, theanine, (−)-epigallocatechin gallate (EGCG), (−)-epigallocatechin (EGC), (−)-epicatechin gallate (ECG), (−)-epicatechin (EC), and (+)-catechin (C) were determined using high-performance liquid chromatography in accordance with the ISO d ...
DOI:
10.1080/10942912.2017.1354880

7. Identification of Radix puerariae starch from different geographical origins by FT-NIR spectroscopy

Author:
Zhang, Hang; Jiang, Hui; Liu, Guohai; Mei, Congli; Huang, Yonghong
Source:
International journal of food properties 2017 v.20 no.sup2 pp. 1567-1577
ISSN:
1532-2386
Subject:
algorithms; principal component analysis; provenance; spectroscopy; starch; variance; wavelengths
Abstract:
... Fourier transform near-infrared (FT-NIR) spectroscopy technique combined with multivariate calibration approach was employed to identify the geographical origins of Radix puerariae starch. First, the efficient spectral subintervals were selected by a synergy interval partial least squares (siPLS) method. Second, an iteratively retains informative variables (IRIV) algorithm was applied to select th ...
DOI:
10.1080/10942912.2017.1283325

8. Regionalization of Drought across South Korea Using Multivariate Methods

Author:
Azam, Muhammad; Park, Hyung Keun; Maeng, Seung Jin; Kim, Hyung San
Source:
Water 2017 v.10 no.1
ISSN:
2073-4441
Subject:
algorithms; drought; multivariate analysis; principal component analysis; topography; South Korea
Abstract:
... Topographic and hydro-climatic features of South Korea are highly heterogeneous and able to influence the drought phenomena in the region. The complex topographical and hydro-climatic features of South Korea need a statistically accurate method to find homogeneous regions. Regionalization of drought in a bivariate framework has scarcely been applied in South Korea before. Hierarchical Classificati ...
DOI:
10.3390/w10010024

9. Volcanic SO2 plume height retrieval from UV sensors using a full-physics inverse learning machine algorithm

Author:
Efremenko, Dmitry S.; Loyola R., Diego G.; Hedelt, Pascal; Spurr, Robert J. D.
Source:
International journal of remote sensing 2017 v.38 no.sup1 pp. 1-27
ISSN:
1366-5901
Subject:
algorithms; artificial intelligence; data collection; geophysics; monitoring; neural networks; ozone; principal component analysis; radiative transfer; regression analysis; remote sensing; sampling; satellites; sulfur dioxide
Abstract:
... Precise knowledge of the location and height of the volcanic sulphur dioxide (SO₂) plume is essential for accurate determination of SO₂ emitted by volcanic eruptions. Current SO₂ plume height retrieval algorithms based on ultraviolet (UV) satellite measurements are very time-consuming and therefore not suitable for near-real-time applications. In this work we present a novel method called the full ...
DOI:
10.1080/01431161.2017.1348644

10. Li(Ni,Co,Al)O2 Cathode Delithiation: A Combination of Topological Analysis, Density Functional Theory, Neutron Diffraction, and Machine Learning Techniques C

Author:
Eremin, Roman A.; Zolotarev, Pavel N.; Ivanshina, Olga Yu.; Bobrikov, Ivan A.
Source:
Journal of physical chemistry 2017 v.121 no.51 pp. 28293-28305
ISSN:
1932-7455
Subject:
algorithms; aluminum; artificial intelligence; cathodes; density functional theory; energy balance; models; neutron diffraction; topology
Abstract:
... Here we have combined topological analysis, density functional theory (DFT) modeling, operando neutron diffraction, and machine learning algorithms within the comparative analysis of the known widely LiNiO₂ (LNO) and LiNi₀.₈Co₀.₁₅Al₀.₀₅O₂ (NCA) cathode materials. Full configurational spaces of the mentioned materials during delithiation were set using the topological approach starting from the 2 × ...
DOI:
10.1021/acs.jpcc.7b09760

11. Mapping the pharmaceutical design space by amorphous ionic liquid strategies

Author:
Wiest, Johannes; Saedtler, Marco; Balk, Anja; Merget, Benjamin; Widmer, Toni; Bruhn, Heike; Raccuglia, Marc; Walid, Elbast; Picard, Franck; Stopper, Helga; Dekant, Wolfgang; Lühmann, Tessa; Sotriffer, Christoph; Galli, Bruno; Holzgrabe, Ulrike; Meinel, Lorenz
Source:
Journal of controlled release 2017 v.268 pp. 314-322
ISSN:
0168-3659
Subject:
hygroscopicity; water solubility; bioavailability; drugs; migraine; patients; oral administration; ionic liquids; algorithms
Abstract:
... Poor water solubility of drugs fuels complex formulations and jeopardizes patient access to medication. Simplifying these complexities we systematically synthesized a library of 36 sterically demanding counterions and mapped the pharmaceutical design space for amorphous ionic liquid strategies for Selurampanel, a poorly water soluble drug used against migraine. Patients would benefit from a rapid ...
DOI:
10.1016/j.jconrel.2017.10.040

12. Properties of Highly Oriented Pyrolytic Graphite Supported TaSi16 Clusters: A Density Functional Investigation C

Author:
Sen, Arpita; Sen, Prasenjit
Source:
Journal of physical chemistry 2017 v.121 no.51 pp. 28490-28497
ISSN:
1932-7455
Subject:
adsorption; algorithms; energy; graphene; isomers; silicon; temperature
Abstract:
... Adsorption of the TaSi₁₆ cluster on highly oriented pyrolytic graphite (HOPG) is studied using density functional methods. These calculations resolve some of the issues raised by the recent experiments of Shubita et al. (Shibuta, M.; Ohta, T.; Nakaya, M.; Tsunoyama, H.; Eguchi, T.; Nakajima, A.Chemical Characterization of an Alkali-Like Superatom Consisting of a Ta-Encapsulating Si₁₆ Cage. J. Am. ...
DOI:
10.1021/acs.jpcc.7b08858

13. LQG Benchmark Based Performance Assessment of IMC-PID Temperature Control System

Author:
Fang, Tao; Zhang, Ridong; Gao, Furong
Source:
Industrial & engineering chemistry process design and development 2017 v.56 no.51 pp. 15102-15111
ISSN:
1520-5045
Subject:
algorithms; furnaces; models; process design; temperature
Abstract:
... This paper focuses on the control system performance in industrial control processes and evaluates the controller performance using the assessment criterion based on linear quadratic Gaussian (LQG). The LQG performance benchmark curve is determined by the numerical calculation method, which avoids the calculation of the complex interaction matrix. This method depends on the model-based steady-stat ...
DOI:
10.1021/acs.iecr.7b03991

14. Study of a Gray Genetic BP Neural Network Model in Fault Monitoring and a Diagnosis System for Dam Safety

Author:
Liu, Hai-Feng; Ren, Chao; Zheng, Zhong-Tian; Liang, Yue-Ji; Lu, Xian-Jian
Source:
ISPRS international journal of geo-information 2017 v.7 no.1
ISSN:
2220-9964
Subject:
algorithms; automation; deformation; models; monitoring; prediction; uncertainty
Abstract:
... In this paper, a self-diagnosis system of observer fault with linear and non-linear combination is studied in light of the unstable performance of the automatic monitoring system and the drift of the measured value. The system makes a prediction step ahead of time, compares it with the online measured value, and makes a logical judgment based on the residual error to achieve the purpose of real-ti ...
DOI:
10.3390/ijgi7010004

15. A Novel Flood Forecasting Method Based on Initial State Variable Correction

Author:
Li, Kuang; Kan, Guangyuan; Ding, Liuqian; Dong, Qianjin; Liu, Kexin; Liang, Lili
Source:
Water 2017 v.10 no.1
ISSN:
2073-4441
Subject:
algorithms; hydrologic models; watersheds; China
Abstract:
... The influence of initial state variables on flood forecasting accuracy by using conceptual hydrological models is analyzed in this paper and a novel flood forecasting method based on correction of initial state variables is proposed. The new method is abbreviated as ISVC (Initial State Variable Correction). The ISVC takes the residual between the measured and forecasted flows during the initial pe ...
DOI:
10.3390/w10010012

16. Development of Digital Oil for Heavy Crude Oil: Molecular Model and Molecular Dynamics Simulations

Author:
Iwase, Motoaki; Sugiyama, Shumpei; Liang, Yunfeng; Masuda, Yoshihiro; Morimoto, Masato; Matsuoka, Toshifumi; Boek, Edo S.; Ueda, Ryo; Nakagawa, Kazunori
Source:
Energy & fuels 2017 v.32 no.3 pp. 2781-2792
ISSN:
1520-5029
Subject:
algorithms; asphaltenes; boiling point; carbon; chemical bonding; drying; elemental composition; equations; hydrogen; molecular dynamics; molecular models; molecular weight; nuclear magnetic resonance spectroscopy; oils; petroleum; resins; simulation models; stable isotopes; temperature; viscosity
Abstract:
... We constructed a molecular model (digital oil model) for heavy crude oil based on analytical data. Crude oil was separated into four fractions: saturates, aromatics, resins, and asphaltenes (SARA). The digital oil was constructed as a mixture of representative molecules of saturates, aromatics, resins, and lost components (low boiling-point compounds vaporized during drying), while asphaltenes of ...
DOI:
10.1021/acs.energyfuels.7b02881

17. Projecting the Range Shifts in Climatically Suitable Habitat for Chinese Sea Buckthorn under Climate Change Scenarios

Author:
Huang, Jinghua; Li, Guoqing; Li, Jie; Zhang, Xiaoqin; Yan, Meijie; Du, Sheng
Source:
Forests 2017 v.9 no.1
ISSN:
1999-4907
Subject:
Hippophae rhamnoides; afforestation; algorithms; altitude; climate change; climatic factors; graphs; habitats; latitude; longitude; planning; plantations; planting; trees; China
Abstract:
... Understanding the impact of climate change on range shifts in climatically suitable habitats of tree species is important for national afforestation planning, which can enhance the adaptation of tree plantation to climate change through movement of tree to follow suitable climatic conditions. Here, we overlap the current and future climate-related ranges of Chinese sea buckthorn (Hippophae rhamnoi ...
DOI:
10.3390/f9010009

18. Quantitative Analysis of Nanopore Structural Characteristics of Lower Paleozoic Shale, Chongqing (Southwestern China): Combining FIB-SEM and NMR Cryoporometry

Author:
Tong, Shaoqing; Dong, Yanhui; Zhang, Qian; Elsworth, Derek; Liu, Shimin
Source:
Energy & fuels 2017 v.31 no.12 pp. 13317-13328
ISSN:
1520-5029
Subject:
Paleozoic era; algorithms; energy-dispersive X-ray analysis; fuels; liquids; mineral content; models; nanopores; nuclear magnetic resonance spectroscopy; organic matter; porosity; quantitative analysis; scanning electron microscopy; shale; China
Abstract:
... Characterizing nanopore structure is one of the most important factors in understanding gas storage and transport in shale reservoirs, but remains a significant challenge. In this work, we combine the benefits of Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) and Nuclear Magnetic Resonance Cryoporometry (NMR-C) to characterize the nanopore structure of lower Paleozoic shales from Chongqin ...
DOI:
10.1021/acs.energyfuels.7b02391

19. Exploring the potential energy surface of small lead clusters using the gradient embedded genetic algorithm and an adequate treatment of relativistic effects

Author:
Rabanal-León, Walter A.; Tiznado, William; Osorio, Edison; Ferraro, Franklin
Source:
RSC advances 2017 v.8 no.1 pp. 145-152
ISSN:
2046-2069
Subject:
algorithms; electrons; equations; gases; isomers; lead; potential energy
Abstract:
... It is a well-known fact that theoretical methodologies play a crucial role to assure an adequate structural assignment of gas-phase clusters. Particularly, in heavy-element containing clusters the inclusion of relativistic effects (scalar and spin–orbit coupling) can significantly affect their chemistry. Therefore, these effects become the keystone on their structural determination. In our work, t ...
DOI:
10.1039/c7ra11449d

20. Hierarchical Assembly of RNA Three-Dimensional Structures Based on Loop Templates B

Author:
Xu, Xiaojun; Chen, Shi-Jie
Source:
The Journal of physical chemistry 2017 v.122 no.21 pp. 5327-5335
ISSN:
1520-5207
Subject:
RNA; RNA conformation; algorithms; models; nucleotides; prediction
Abstract:
... The current RNA structure prediction methods cannot keep up the pace of the rapidly increasing number of sequences and the emerging new functions of RNAs. Template-based RNA three-dimensional structure prediction methods are restricted by the limited number of known RNA structures, and traditional motif-based search for the templates does not always lead to successful results. Here we report a new ...
DOI:
10.1021/acs.jpcb.7b10102