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    Production Association “Minsk Tractor Plant” and Production private unitary enterprise “Oktava” — 5-year long cooperation by E. G. Shvarts, V. A. Matusevich, V. P. Chikounov, N. I. Sashko, V. A. Romanov, A. V. Krjukov, V. V. Pesenkov

    Published 2001-08-01
    “…During 1997—2001 the Minsk Tractor Plant and Unitary enterprise "Oktava'' ran a range of measures of creation and implementation of computer-aided systems of burdening electric furnaces and cupola in cast-steel works of the Minsk Tractor Plant.…”
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  14. 294

    Missing Children: Incidences and Characteristics of Runaway Children and Resources Available to Them by Stacy Daniels, Mark A. Brennan

    Published 2006-10-01
    “…Brennan, is the first in a two-part series focusing on missing children. This paper takes a close look at runaways: who they are, the scope of the problem, and what professionals can do to help. …”
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  15. 295

    Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random by Hanji He, Guangming Deng

    Published 2020-01-01
    “…We extend the mean empirical likelihood inference for response mean with data missing at random. The empirical likelihood ratio confidence regions are poor when the response is missing at random, especially when the covariate is high-dimensional and the sample size is small. …”
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  16. 296

    Missing Children: Kidnapped and Abducted Children and Resources Available to Parents and the Community by Stacy Daniels, Mark A. Brennan

    Published 2006-10-01
    “…Brennan, is the second in a two-part series focusing on missing children. This final installment considers children who have been abducted. …”
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  17. 297

    MELAS Missed for Years: Stroke-Like Lesions Are No Indication for Brain Biopsy by J. Finsterer

    Published 2019-01-01
    “…In conclusion, adult-onset MID may be missed for years, SLLs may be easily misinterpreted entailing brain biopsy, and psychosis may contribute to a reduced impact for proper workup of a MID.…”
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    Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling by Hyojin Lee, Kwangmin Kang

    Published 2015-01-01
    “…Precipitation is the main factor that drives hydrologic modeling; therefore, missing precipitation data can cause malfunctions in hydrologic modeling. …”
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