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  1. 10541
  2. 10542

    An LSTM deep learning framework for history-based tornado prediction using meteorological data and damage assessment using NDVI anomalies by Omid Memarian Sorkhabi

    Published 2024-12-01
    “…The main goal of this research was to develop a deep learning algorithm based on history to predict this phenomenon. …”
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    Article
  3. 10543

    Quality indicators for technologies applied to the hospital pharmacy by Amelia de la Rubia Nieto, Eva Negro Vega, Ana María Álvarez Díaz, María Queralt Gorgas, Carmen Encinas Barrios

    Published 2017-07-01
    “…<br />The project was developed with a methodology of qualitative techniques by consensus, with the members of the TECNO Group participating as experts. …”
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    Article
  4. 10544

    Investment attractiveness factors in the opinion of companies from Special Economic Zones in Poland by Piotr Misztal, Vasili Kulakou

    Published 2024-12-01
    “…In order to assess a set of determinants that exert the most significant influence on a country’s investment climate, a questionnaire was developed consisting of 25 questions of various orientations. …”
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  5. 10545

    Evaluation of Assembly Gap from 3D Laser Measurements via FEA Simulation by Xueshu Liu, Junhao Chang, Yuxing Yang, Yiqi Wang, Yongjie Bao, Hang Gao

    Published 2018-01-01
    “…Although it is identified as a problematic and expensive nonadded value stage, a gap measurement is still needed. This paper develops a numerical process for gap prediction before the assembly step. …”
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    Article
  6. 10546

    Quantification of polysorbate 80 in biopharmaceutical formulations implementing an optimized colorimetric approach by A. S. Seregin, N. V. Orlova, A. D. Askretkov, D. I. Zybin, Yu. A. Seregin

    Published 2020-07-01
    “…We hereby describe an improvement of a previously developed quantification technique for polysorbate 80 in biopharmaceutical formulations (darbepoetin alfa and eculizumab) and report the validation of the new approach.Methods. …”
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    Article
  7. 10547

    A strategy to classify and resolve ambiguities when reverse engineering drawings to CAD models by Pedro Company, Raquel Plumed, Carmen González-Lluch, Manuel Contero, Jorge D. Camba

    Published 2025-12-01
    “…The classification represents an essential step for developing a checklist to ensure drawing ambiguities are fully resolved before the corresponding 3D models are built. …”
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  8. 10548

    Bioinformatics approach to processing data from high-throughput sequencing of small RNA molecules by A. A. Zharikova, Yu. V. Vyatkin, A. V. Kiseleva, A. N. Meshkov

    Published 2025-01-01
    “…A whole arsenal of programs and specific packages has already been developed to implement each study step. The instrumental composition of the final bioinformatics protocol is critically important for the correct data processing and study reproduction. …”
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    Article
  9. 10549

    Evaluation of Modified Categorical Data Fuzzy Clustering Algorithm on the Wisconsin Breast Cancer Dataset by Amir Ahmad

    Published 2016-01-01
    “…The early diagnosis of breast cancer is an important step in a fight against the disease. Machine learning techniques have shown promise in improving our understanding of the disease. …”
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    Article
  10. 10550

    A Synthesis of Computational and Experimental Approaches of Evaluating Chemical, Physical, and Mechanistic Properties of Asphalt Binders by Kamal Hossain, Zahid Hossain

    Published 2019-01-01
    “…Understanding of asphalt characteristics at the very finite level is the first critical step to develop a better macroscopic- or pavement-level performance model. …”
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    Article
  11. 10551

    Optimal control applied to a model for species augmentation by Erin N. Bodine, Louis J. Gross, Suzanne Lenhart

    Published 2008-09-01
    “…The work and results presented in this paper are a first step toward building a general theory of population augmentation, which accounts for the complexities inherent in many conservation biology applications.…”
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  12. 10552

    Pulsed laser in liquid grafting of gold nanoparticle–carbon support composites by Madeleine K. Wilsey, Teona Taseska, Qishen Lyu, Connor P. Cox, Astrid M. Müller

    Published 2025-03-01
    “…We developed a novel pulsed laser-assisted process for the fabrication of advanced composites of nonequilibrium gold nanoparticles on carbon fiber paper supports. …”
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    Article
  13. 10553

    Degradation and Damage of Composite Materials in Marine Environment by Goran VIZENTIN, Goran VUKELIC

    Published 2020-02-01
    “…Understanding the process of degradation and damage of composite materials assisted by sea environment a crucial step in building such a model. This paper aims to give a critical review of the research advancements in assessments of the sea environment influence on the degradation of mechanical properties of composites with a special emphasis on developed models of processes containing water and moisture entering composite inner structure. …”
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  14. 10554

    Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models by Yuntong Liu, Yu Wei, Yi Liu, Wenjuan Li

    Published 2020-01-01
    “…The aim of this paper is to forecast monthly crude oil price with a hierarchical shrinkage approach, which utilizes not only LASSO for predictor selection, but a hierarchical Bayesian method to determine whether constant coefficient (CC) or time-varying parameter (TVP) predictive regression should be employed in each out-of-sample forecasting step. This newly developed method has the advantages of both model shrinkage and automatic switch between CC and TVP forecasting models; thus, this may produce more accurate predictions of crude oil prices. …”
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  15. 10555

    Rethinking timing residuals: advancing PET detectors with explicit TOF corrections by Stephan Naunheim, Stephan Naunheim, Luis Lopes de Paiva, Luis Lopes de Paiva, Vanessa Nadig, Yannick Kuhl, Yannick Kuhl, Stefan Gundacker, Stefan Gundacker, Florian Mueller, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz

    Published 2025-04-01
    “…This concept revolves around an initial analytical calibration step addressing first-order skews. In the subsequent step, any deviation from a defined expectation is regarded as a residual effect, which we leverage to train machine learning models to eliminate higher-order skews. …”
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  16. 10556

    Prediction of the chemical composition of Cenchrus clandestinus grass using Near Infrared Spectroscopy – NIRS by Rolando Barahona-Rosales, Astrid Rivera Rivera, Omar Ceballos, Diana María Bolívar-Vergara, Mario Fernando Cerón-Muñoz

    Published 2025-06-01
    “…Kikuyu samples obtained from two hundred dairy farms in the North of Antioquia were analyzed for DM, protein, NDF and ADF. Using three-step procedure (calibration, cross validation, and prediction), equations were developed in a NIRS equipment (NIRS DS 2500 monochromator, Foss-NIRsystem, Denmark). …”
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  17. 10557
  18. 10558

    Sensitive Hydrogen Peroxide Sensor Based on Hexacyanoferrate Nickel–Carbon Nanodots by Emiliano Martínez-Periñán, Juan Manuel Hernández-Gómez, Encarnación Lorenzo, Cristina Gutiérrez-Sánchez

    Published 2025-05-01
    “…An electrochemical sensor was developed for the detection of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) based on the in situ formation of a nickel hexacyanoferrate complex on the electrode surface. …”
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  19. 10559
  20. 10560