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GROUP-MEMBERSHIP RECOGNITION methodS BASED ON CONFIDENCE BOUNDARIES AND THEIR TESTING IN CLINICAL ONCOLOGY

CYBERNETICS AND SYSTEMS ANALYSIS 2009年第4期45卷 517-527页

作者： Petunin, Yu I. Klyushin, D. A. Golubeva, E. N. Naleskina, L. A. Kunskaya, L. N. Chekhun, V. F. Natl Taras Shevchenko Univ Kiev Ukraine Natl Acad Sci Ukraine RE Kavetsky Inst Expt Pathol Oncol & Radiobiol Kiev Ukraine

Confidence intervals are constructed for an unknown correlation coefficient and mathematical expectation using 3s(1) and 2s(1) rules. The intervals make it possible to solve the problem of statistical analysis of the dependence between different random variables. The results obtained are used to analyze the correlation between the content of homocysteine and various clinical indices.

关键词： linear regression method confidence interval for mathematical expectation confidence interval for a correlation coefficient homocysteine breast cancer

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Compact Representation of the Local Atomic Structure of Matter for Machine Learning in XANES-Spectroscopy Data Processing

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JOURNAL OF SURFACE INVESTIGATION 2024年第2期18卷 400-407页

作者： Viklenko, I. A. Srabionyan, V. V. Durymanov, V. A. Gladchenko-Dzhevelekis, Ya. N. Razdorov, V. N. Avakyan, L. A. Bugaev, L. A. Southern Fed Univ Rostov Na Donu 344090 Russia

The paper introduces a method for representing data on the local atomic structure as histograms of pair radial distribution functions categorized by atom types. This method is used to construct a structure descriptor essential for determining the material structure using machine learning and artificial intelligence methods. A distinctive feature of the approach is the simultaneous use of two sets of pair radial distribution functions: for pairs of all atom types and for pairs involving a selected absorbing atom. The developed approach is tested for determining the nearest environment of silver atoms in color centers in sodium-silicate glasses based on the spectra of X-ray absorption near the absorption edge of Ag. The informativeness of the proposed structure descriptor is demonstrated by its ability to recreate a three-dimensional model of the silver color center's structure from the corresponding pair distance histograms. Using multiple machine-learning methods, we demonstrate that the proposed descriptor enables the high-quality reproduction of X-ray absorption near edge structure (XANES) spectra for color centers in glass within the framework of the finite-difference method, which results in a four-order-of-magnitude cut in the calculation time for the XANES spectra. The constructed machine-learning model establishes a fundamental connection between the atomic structure of color centers in glasses and the silver XANES spectrum, which is essential for determining the structure of glasses.

关键词： X-ray absorption near-edge structure machine learning local atomic structure color centers gradient boosting random forest algorithms linear regression method

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Application of thermal sums concept to estimate the time to harvest new banana hybrids for export

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SCIENTIA HORTICULTURAE 2011年第1期129卷 52-57页

作者： Umber, Marie Paget, Benedicte Hubert, Olivier Salas, Irene Salmon, Frederic Jenny, Christophe Chillet, Marc Bugaud, Christophe CIRAD UMR QUALISUD F-97285 Lamentin Martinique France CIRAD UR Ameliorat Genet Especes Multiplicat Vegetat F-97130 Capesterre Belle Eau Guadeloupe France CIRAD UMR QUALISUD F-97130 Capesterre Belle Eau Guadeloupe France CIRAD UMR QUALISUD Sao Paulo Brazil Univ Sao Paulo Dpto Alimentos & Nutr Expt USP FCF Sao Paulo Brazil

Application of the thermal sum concept was developed to determine the optimal harvesting stage of new banana hybrids to be grown for export. It was tested on two triploid hybrid bananas, FlhorBan 916 (F916) and FlhorBan 918 (F918), created by CIRAD's banana breeding programme, using two different approaches. The first approach was used with F916 and involved calculating the base temperature of bunches sampled at two sites at the ripening stage, and then determining the thermal sum at which the stage of maturity would be identical to that of the control Cavendish export banana. The second approach was used to assess the harvest stage of F918 and involved calculating the two thermal parameters directly, but using more plants and a longer period. Using the linear regression model, the estimated thermal parameters were a thermal sum of 680 degree-days (dd) at a base temperature of 17.0 degrees C for cv. F916, and 970 dd at 13.9 degrees C for cv. F918. This easy-to-use method provides quick and reliable calculations of the two thermal parameters required at a specific harvesting stage for a given banana variety in tropical climate conditions. Determining these two values is an essential step for gaining insight into the agronomic features of a new variety and its potential for export. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Musa Hybrid linear regression method Base temperature Thermal sum Green life

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Combining large broiler populations into a single genomic evaluation: dealing with genetic divergence

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JOURNAL OF ANIMAL SCIENCE 2024年第102期102卷 skae360页

作者： Tabet, Joe-Menwer Bussiman, Fernando Breen, Vivian Misztal, Ignacy Lourenco, Daniela Univ Georgia Dept Anim & Dairy Sci Athens GA 30602 USA Cobb Vantress Inc Siloam Springs AR 72761 USA

Combining breeding populations that have diverged at some point is a conventional practice, particularly in the poultry industry, where generation intervals are short and genetic evaluations should be frequently available. This study aimed to assess the feasibility of combining large, distantly genetically connected broiler populations into a single genomic evaluation within the single-step GBLUP framework. The pedigree data for broiler lines 1 and 2 consisted of 428,790 and 477,488 animals, being 156,088 and 186,387 genotyped, respectively. Phenotypic data for body weight (kg), carcass yield (%), mortality (1 to 2), and feet health (1 to 7) were collected for 397,974 animals in line 1 and 458,881 in line 2. A 4-trait model was employed for the analyses, and genetic differences between the populations were addressed through different approaches: introducing an additional fixed effect accounting for the line of origin (M2) or making each fixed effect origin-specific (M3). Those models were compared against a conventional model (M1) that did not account for animal origin in the evaluation. Unknown parent groups (UPG) and Metafounders (MF) were fit to account for the genetic differences in M1, M2, and M3;they were set based on the animal's line of origin and sex. Accuracy, bias, and dispersion were used to assess the performances of the models using the linear regression method. Validations were performed separately within individual lines and collectively after combining the 2 lines to better assess the advantages of combining the 2 populations. Overall, the accuracy increased when the 2 populations were combined compared to the accuracies obtained from evaluating each line individually. Notably, there were no apparent differences among the models regarding accuracy and dispersion. Regarding bias, using models M2 or M3 with UPG yields the least biased estimates in the combined evaluation. Thus, when combining different populations into a single genomic evaluation, acc

关键词： genetic and non-genetic differences linear regression method meta-founders single-step genomic best linear unbiased prediction unknown parent groups

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Uncovering QTL for resistance and survival time to Philasterides dicentrarchi in turbot (Scophthalmus maximus)

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ANIMAL GENETICS 2013年第2期44卷 149-157页

作者： Rodriguez-Ramilo, S. T. Fernandez, J. Toro, M. A. Bouza, C. Hermida, M. Fernandez, C. Pardo, B. G. Cabaleiro, S. Martinez, P. Univ Vigo Fac Biol Dept Bioquim Genet & Inmunol Vigo 36310 Spain Inst Nacl Invest & Tecnol Agr & Alimentaria Dept Mejora Genet Anim Madrid 28040 Spain Univ Politecn Madrid Dept Anim Prod ETS Ingenieros Agronomos E-28040 Madrid Spain Univ Santiago de Compostela Fac Vet Dept Genet Lugo 27002 Spain Cluster Acuicultura Galicia CETGA La Coruna 15965 Spain

Disease resistance-related traits have received increasing importance in aquaculture breeding programs worldwide. Currently, genomic information offers new possibilities in breeding to address the improvement of this kind of traits. The turbot is one of the most promising European aquaculture species, and Philasterides dicentrarchi is a scuticociliate parasite causing fatal disease in farmed turbot. An appealing approach to fight against disease is to achieve a more robust broodstock, which could prevent or diminish the devastating effects of scuticociliatosis on farmed individuals. In the present study, a genome scan for quantitative trait loci (QTL) affecting resistance and survival time to *** in four turbot families was carried out. The objectives were to identify QTL using different statistical approaches [linear regression (LR) and maximum likelihood (ML)] and to locate significantly associated markers for their application in genetic breeding strategies. Several genomic regions controlling resistance and survival time to *** were detected. When analyzing each family separately, significant QTL for resistance were identified by the LR method in two linkage groups (LG1 and LG9) and for survival time in LG1, while the ML methodology identified QTL for resistance in LG9 and LG23 and for survival time in LG6 and LG23. The analysis of the total data set identified an additional significant QTL for resistance and survival time in LG3 with the LR method. Significant association between disease resistance-related traits and genotypes was detected for several markers, a single one explaining up to 22% of the phenotypic variance. Obtained results will be essential to identify candidate genes for resistance and to apply them in marker-assisted selection programs to improve turbot production.

关键词： linear regression method maximum likelihood method quantitative trait loci scuticociliatosis turbot

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A method for the Frequency Security Level Grading of Power System Operation

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ENGINEERING LETTERS 2019年第3期27卷 623-630页

作者： Jin, Cuicui Liu, Liu Li, Weidong Li, Xiaomeng Rao, Yufei Dalian Univ Technol Sch Elect Engn Dalian Peoples R China State Grid Henan Elect Power Res Inst Zhenzhou Peoples R China

For the trade-off between the security and economy of power system operation, the control actions such as the preventive control, emergency control, and restorative control, etc. should be selected according to the frequency security level of power system operation. Thus, the theoretical basis for the selection of the control modes of frequency response and the dispatch of the frequency regulation means can be provided. The theoretical research demonstrates that the ratio between the frequency nadir and the quasi-stable state frequency of power system is nearly a constant after disturbance. Moreover, the frequency nadir of power system can be estimated based on the quasi-stable state frequency with the linear regression method of historical data. Hence, the method for the frequency security level grading of power system operation is proposed and the frequency response reserve of generator units and the initial operation frequency of power system, etc. are considered. Because the quasi-stable state frequency involves few parameters and is easy to be calculated, the calculation speed of the frequency nadir is fast and the proposed method can be applied on line. The feasibility and effectiveness of the proposed method are illustrated in the modified New England IEEE 10 generator 39-bus system and the Henan power grid.

关键词： security and stability control frequency response frequency security level grading constant ratio linear regression method

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THE ASSESSMENT OF EFFICIENCY OF WORK OF BLAST FURNACE

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METALURGIJA 2020年第3期59卷 403-406页

作者： Kardas, E. Prusak, R. Czestochowa Tech Univ Fac Prod Engn & Mat Technol Czestochowa Poland

The paper presents results of the analysis of selected indicators used to assess the efficiency of blast furnace operation: running time operation, plan fulfilment, unit daily production of pig iron and the influence of these parameters on monthly pig iron production and intensity of coke combustion. The study was carried out in cooperation with a Blast-Furnace Department of a Polish steelworks and was based on the results coming from this Department. The analysis covers the period of one calendar year.

关键词： blast furnace pig iron effectiveness production management linear regression method

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Data-driven horticultural crop model for optimal fertigation management -a methodology description

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IFAC-PapersOnLine 2018年第17期51卷 472-476页

作者： Dong, Qiaoxue Sun, Qingnan Hu, Yajing Xu, Yun Qu, Mei Ministry of Agriculture China Agricultural University Beijing100083 China College of horticulture China Agricultural university Beijing Key Laboratory of Growth and Development Regulation for protected Vegetable Crops Beijing100193 China

Fertigation has been proved a good agricultural practice for greenhouse crop production with respect to the efficiency of water and fertilizer use. but the frequency of irrigation and N fertilization, as well as their quantity, has important effects on crop's high yield and quality. To further save the irrigation water and N fertilizer application meanwhile ensuring the maximum productivity, the rational fertigation management is indispensable. Crop growth model provide a useful tool to help determine optimal management practices. This paper illustrates the basic methodological approaches and structure for optimal fertigation management by using a data-driven model. The data-driven model is derived from the given data and nonlinear regression method is applied to set up the model. The model parameters are identified by ordinary least square method. After the model's evaluation, a osculating value method is proposed to optimize the fertigation management combined with the data-driven model. The modeling and optimization algorithms, as well as the input and output interface, are implemented in standard c language, which is easy to be integrated into smart device like fertigation machine, to enhance the intelligence of device or controller. The experimental data from four crops including tomato, cucumber, sweet pepper, and strawberry were collected to assess the performance index of above methodology approaches, the preliminary results show that the system framework and the methodology adopted can be used to help farmer-level fertigation management as an alternative tool. © 2018

关键词： Information management Agricultural robots C (programming language) Crops Cultivation Identification (control systems) Irrigation Least squares approximations Modeling languages Nitrogen fertilizers Optimization regression analysis Structural optimization Data driven model Fertigations Good agricultural practices Greenhouse crop production Modeling and optimization Non linear regression method Ordinary least square methods Sustainable production

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THE ANALYSIS OF SELECTED PARAMETERS OF BLAST FURNACE OPERATION

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METALURGIJA 2019年第3-4期58卷 287-290页

作者： Kardas, E. Prusak, R. Czestochowa Tech Univ Fac Prod Engn & Mat Technol Czestochowa Poland

The paper presents results of the analysis of selected parameters of blast furnace operation and the influence of various factors on them. The study was carried out in cooperation with a Blast-Furnace Department of a Polish steelworks and was based on the results coming from this Department. The analysis covers the period of one calendar year.

关键词： blast furnace pig iron effectiveness productions linear regression method

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THE QUALITY OF COKE AND ITS CONSUMPTION BLAST FURNACE PROCESS

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METALURGIJA 2021年第3-4期60卷 181-184页

作者： Kardas, E. Prusak, R. Czestochowa Tech Univ Fac Prod Engn & Mat Technol Czestochowa Poland

The assessment of quality of coke and its consumption in blast furnace process is presented in the paper. The statistical analysis of three basic parameters of coke was made. As a main quality parameters: moisture content, ash content in the dry state, volatile matter content in dry state and calorific value were selected. Then influence of two selected parameters of coke on fuel consumption was calculated. The study was carried out in cooperation with a Blast-Furnace Department of a Polish steelworks and was based on the results coming from this Department. The analysis covers the period of three calendar years.

关键词： blast furnace coke quality fuels consumption linear regression method

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