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  1. 901

    Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

    Published 2024-05-01
    “…Behavioral innovation is an important and vital factor for organizations to create sustainable competitive value and advantage in today's complex and variable environment. With more innovation, organizations will be more successful in responding to variable environments and developing new capabilities that allow them to get better performance (Vakili et al, 2019). …”
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  2. 902

    Temperature simulation and experimental for polishing TC4 with abrasive cloth wheel by Libo WANG, Chao XIAN, Hongmin XIN

    Published 2025-06-01
    “…Therefore, when determining the polishing process parameters, the appropriate compression depth should be selected first, and then other process parameters should be selected accordingly.…”
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  3. 903

    Transfer Function of a Time-Varying Control System Considering Actuator Inertia by Volt Avdieiev

    Published 2025-05-01
    “…Finding the extreme of the equivalence criterion of the TCS and the link using the Levenberg-Marquardt method, with the coordinates of the extreme point being the arguments of the TF coefficients. Practical Implications. Using the TF of equivalent link, it is possible to obtain for the selected trajectory section a quantitative estimate of the stability margin, the duration of the transient process, the accuracy of disturbance compensation, and the transmission coefficient depending on the signal frequency input. …”
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  4. 904

    Measurement of the Efficiency of Parallel Genetic Algorithm for Compress and Decompression of Fractal Imaging Using Multiple Computers by Shahla Abdul Qadir

    Published 2013-07-01
    “…The searching method used for the parallel algorithm for compression and decompression , the method of choosing GA's coefficients, (selection, crossover  and mutation) were of a  significant role in improving the image compression ratio and quality for images in high speed that has reached 15<sub>s</sub> , compression ratio has reached  91.68% , while the image quality was improved after decompression  and has  reached  roughly 34.81  compared to traditional method of  fractal image coding (FIC) where the compression ratio has reached 83.87% and image quality 31.79 with algorithm implementation speed reached 28<sub>s</sub>.…”
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  5. 905

    Radioactive pollution of the Chernobyl cooling pond bottom sediments. II. Distribution of 137Cs, 241Am, 90Sr in a solid phase by L. S. Pirnach

    Published 2011-12-01
    “…Distribution coefficients 137Cs and 90Sr, selectivity coefficients of their exchange with similar cations and physical-chemical forms are defined. …”
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  6. 906

    Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

    Published 2025-01-01
    “…Although aerosol vertical structures can be complex, assuming a certain shape for the aerosol vertical profile allows for the retrieval of a single parameter – aerosol layer height (ALH) – from passive remote sensing measurements. …”
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  7. 907

    Determination of the inter-repair cycle of production boreholes for underground uranium leaching by Yu. А. Arsentiev, A. P. Nazarov, N. V. Soloviev, D. А. Ivanov, А. G. Ivanov

    Published 2024-05-01
    “…This work is an attempt to analytically develop the main indicator of the duration of the overhaul cycle of the operation of technological wells to determine the frequency of repair and restoration work (RVR) depending on the intensity of the decline in the productivity of borehole in situ leaching (IIL) wells and the coefficient for selecting an effective type of complexes of technical means and technological methods for carrying out RVR.Materials and methods. …”
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  8. 908
  9. 909

    SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis by ZHANG Yajie, CUI Dongwen

    Published 2022-01-01
    “…In view of the multi-scale non-stationarity and other characteristics of monthly runoff in hydrological time series,this paper proposes a singular spectrum decomposition (SSD)-based model of combined monthly runoff forecasting that integrates the student psychology based optimization (SPBO) algorithm with the adaptive network based fuzzy inference system (ANFIS),namely the SSD-SPBO-ANFIS model.This model is then applied to the monthly runoff forecasting at a hydrological station in Yunnan Province.Specifically,time series data of sample monthly runoff are decomposed into various independent sub-series components through SSD to reduce the complexity of the time series data;then,the principle of the SPBO algorithm is outlined,and eight standard functions are selected for simulation verification and comparison of the SPBO algorithm;finally,the SPBO algorithm is employed to optimize the ANFIS condition and conclusion parameters.The SSD-SPBO-ANFIS model is built to forecast each sub-series,which is then superimposed to obtain the final monthly runoff forecasting result.In addition,the results of the proposed model are compared with those of the ensemble empirical mode decomposition (EEMD)-based EEMD-SPBO-ANFIS model and the SPBO-ANFIS model without decomposition.The following observations can be made from the results:The SPBO algorithm has favorable optimization accuracy;with a mean absolute percentage error of 5.57%,a mean absolute error of 0.20 m<sup>3</sup>/s,a Nash coefficient of 0.994 8,and a pass rate of 96.7%,the SSD-SPBO-ANFIS model has an effect better than that of the EEMD-SPBO-ANFIS model and far better than that of the SPBO-ANFIS model in forecasting sample monthly runoff.The proposed model and method can provide references for related research on hydrological time series forecasting.…”
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  10. 910

    Effect of Enzyme on Chromed Leather Dyeing With Acidic Dyes by Renata Biškauskaitė-Ulinskė, Virgilijus Valeika

    Published 2025-01-01
    “…Leather dyeing is a difficult task due to its heterogeneity and complexity. Several studies are aimed at improving the effectiveness of dyeing, including process optimization, use of dye auxiliaries, ultrasound, liposomes, and enzymes. …”
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  11. 911

    2D nonlinear seismic response characteristics of a megacity-scale site under Ricker wavelets by Wei Ren, Yan-Zhen Wang, Jiao Zhu, Ding-Feng Zhao, Qi Wu, Guo-Xing Chen

    Published 2025-05-01
    “…Ricker wavelets with varying peak times, peak frequencies (f p), and amplitudes were selected as input bedrock motions. The analysis revealed the spatial distribution characteristics of 2D nonlinear seismic effects on the surface of deep and complex sedimentary layers. …”
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  12. 912

    Efficient removal of uranium (VI) from environmental water samples by cyclodextrin-intercalated layered double hydroxide-coated magnetic nanoparticles by Ali Esrafili, Mahnaz Ghambarian, Mahmood Yousefi, Najmeh Yazdanfar

    Published 2024-12-01
    “…Under the optimized conditions, the removal efficiency of as high as 96.21%, as well as the adsorption capacity of 461.89 mg g− 1, were obtained showing the desirable performance of the synthesized nano-adsorbent in Uranium (VI) removal from aqueous solutions. The selectivity of the adsorbent was evaluated by calculating distribution coefficients for Uranium (VI) and some interfering ions. …”
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  13. 913

    The development and validation of an easy to use automatic QT-interval algorithm. by Ben J M Hermans, Arja S Vink, Frank C Bennis, Luc H Filippini, Veronique M F Meijborg, Arthur A M Wilde, Laurent Pison, Pieter G Postema, Tammo Delhaas

    Published 2017-01-01
    “…<h4>Results</h4>After visual inspection of the randomly selected complexes, 21 complexes were excluded because of evident noise, too flat T-waves or premature ventricular beats. …”
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  14. 914

    Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

    Published 2024-10-01
    “…Initially, data are denoised using the Savitzky–Golay filter, and five correlation coefficient methods are employed to select input features, with principal component analysis (PCA) used to reduce model complexity. …”
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  15. 915

    Comparative analysis and application of novel spectrophotometric approaches and bioassay for fast macrolide quantification in table by Abdelghani Mahmoudi, Silvia Francia

    Published 2025-07-01
    “…Linear calibration curves with correlation coefficients of 0.9980-0.9998 were obtained. Molar absorptivity and Sandell's sensitivity were less than 10.73 L/mole/cm and 0.0099 μg/cm, respectively, with a detection limit down to 0.27 μg/mL and quantification limits of 0.68-0.78 μg/mL. …”
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  16. 916

    3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

    Published 2025-04-01
    “…The transformer can extract the global information well but adapting it to small medical datasets is challenging and its computational complexity can be heavy. In this work, a serial and parallel network is proposed for the accurate 3D medical image segmentation by combining CNN and transformer and promoting feature interactions across various semantic levels. …”
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  17. 917

    The Reliability and Validity of a Novel Clinical Test for Assessing Shoulder Rotation ROM in Collegiate Baseball Players: Functional Assessment of System Tension of the Shoulder (F... by Steven Dischiavi, Jesse Perry, Connor Burk, Jeremy Chiang, Chris Bleakley

    Published 2024-12-01
    “…Intra-class correlation coefficient (ICC), standard error of measurement (SEM) and minimum detectable change (MDC) were calculated. …”
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  18. 918

    CEEMDAN-Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears by Lingli Jiang, Hongchuang Tan, Xuejun Li, Liman Chen, Dalian Yang

    Published 2019-01-01
    “…The IMFs which included greater amounts fault information are selected as the optimal IMFs based on the correlation coefficient. …”
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  19. 919

    Link stability - based optimal routing path for efficient data communication in MANET by Renisha Pulinchuvallil Salim, Rajesh Ramachandran

    Published 2024-08-01
    “…The paper delves into the complexities of Mobile Ad hoc Networks (MANETs), which consist of a diverse array of wireless nodes. …”
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  20. 920

    Development of machine learning-based standalone GUI application for predicting hydraulic conductivity and compaction parameters of lateritic soils by Lateef Bankole Adamolekun, Muyideen Alade Saliu, Abiodun Ismail Lawal, Ismail Adeniyi Okewale

    Published 2024-12-01
    “…Hydraulic conductivity and compaction parameters are the key considerations in selecting lateritic soils for engineering construction. …”
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