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  1. 701

    Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning by Bohan Kang, Ning Zhang, Jianming Zhu

    Published 2024-12-01
    “…Meanwhile, by quantifying the utility function and the optimization constraint of participants, this paper designs the cooperative incentive mechanism of medical consortium in multi‐leader Stackelberg game to solve the optimal decision and pricing selection of the master‐slave multichain. …”
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  2. 702

    Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

    Published 2025-03-01
    “…In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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  3. 703

    Chromosome architecture constrains horizontal gene transfer in bacteria. by Heather L Hendrickson, Dominique Barbeau, Robin Ceschin, Jeffrey G Lawrence

    Published 2018-05-01
    “…We determined that inversions whose endpoints lie within a single chromosome arm, which would reverse the polarity of AIMS in the inverted region, are both shorter and less frequent near the replication terminus. This distribution is consistent with the increased selection on AIMS function in this region, thus constraining DNA rearrangement. …”
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  4. 704

    ROLLING BEARING WEAK FAULT FEATURE EXTRACTION METHOD WITH ALIF⁃NLM by WANG Ying, SONG YuBo, ZHU DaPeng

    Published 2024-10-01
    “…Aiming at the problem that the early weak fault feature was difficult to extract of rolling bearing under the strong noise background,combined with the advantages of adaptive local iterative filter(ALIF)and non⁃local means(NLM)method,an ALIF⁃NLM bearing weak fault feature extraction method was proposed.Firstly,a weighted kurtosis⁃energy ratio criterion was constructed to filter the intrinsic mode function(IMF)components of the ALIF decomposition and reconstruct the signal.Secondly,the minimum energy entropy⁃kurtosis ratio index was constructed by combining the sensitivity of kurtosis to the impact signal with the evaluation performance of energy entropy to the uniformity and complexity of signal energy distribution,and using this index as the fitness function,the adaptive selection of parameter combinations in NLM method was realized by particle swarm optimization(PSO)algorithm.Finally,the fault feature of the reconstructed signal was extracted with the adaptive NLM.The simulation and experimental results show that this method can effectively extract the weak fault feature information of rolling bearing under the strong noise background.…”
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  5. 705

    THE BALANCE OF LABOR RESOURCES: PRECONDITIONS FORECASTING TRAINING COSTS IN GENERAL AND VOCATIONAL EDUCATION by V. A. Gnevasheva, M. N. Prokof'ev, A. V. Frigin

    Published 2016-11-01
    “…Training of professional staff and their distribution as the two phenomena  are consistent. Selection of areas of training is determined by the existing expectations in areas of future professional activity of experts and may change over time due to changes in the structure of the labor market taking into account the needs of business and government interests. …”
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  6. 706

    Sensitivity Analysis Strategy to Assess the Salting-Out Problem during CO2 Geological Storage Process by Jie Ren, Di Feng

    Published 2021-01-01
    “…Sensitivity coefficients showed that brine salinity (XNaCl) has the highest sensitivity and interaction effect, the CO2 injection rate (QCO2) has a greater influence in the early stage of the salting-out process and a smaller influence in the end stage, and the other three parameters (empirical parameters related to the pore distribution m, the liquid residual saturation in the relative permeability function Splr, and the liquid residual saturation in the capillary pressure function Sclr) have a smaller sensitivity. …”
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  7. 707

    Research on Performance of Fiber-Based Multiple Apertures Receiver System with PPM Modulation by Kangning LI, Xu FENG, Jianwen GAO, Jing Ma

    Published 2021-06-01
    “…The performance of fi ber-based FSO with multiple apertures receiver system was studied for pulse position modulation (PPM) .Expressions of PPM modulated signal-to-noise ratio (SNR) and bit-error rate (BER) for fi ber-based FSO multiple apertures receiver system were presented based on the probability density function of Gamma-Gamma intencity distribution and non–central chisquare fi ber coupling effi ciency distribution under atmospheric infl uence.Selection combining (SC), equal gain combining (EGC) and maximum ratio combining (MRC) were considered to be three signal combining methods for multiple apertures receiver system.The BER performance of 4PPM modulted SC, EGC and MRC fi ber-based multiple apertures receiver system and single aperture receiver system with the same total aperture area were comparative analyzed by Monte Carlo simulation.The BER performance of fi ber-based multiple apertures receiver systems in 4PPM and 8PPM modulation modes were directly compared for diff erent combining methods.…”
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  8. 708

    Natural Convection Flow on a Vertical Cylinder with Sinusoidal Temperature Oscillation Under The Effect of Magneto Hydrodynamic by Manal H. AL-Hafidh

    Published 2013-09-01
    “…A computer program was built to calculate the rate of heat transfer in terms of average Nussle number, velocity distribution as well as temperature distribution for a selection of magneto hydrodynamic parameter range , dimensionless amplitude  and dimensionless time τ΄ (0.2 – 0.8). …”
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  9. 709

    Fault Diagnosis Method of Wavelet Threshold Analysis Combined with EMD for Mechanical Equipment by Wang Lidong, Zhang Kai

    Published 2015-01-01
    “…The new threshold is suitable for the situation of noise distribution. The noise reduction can be gotten by improving the threshold function. …”
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  10. 710

    Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

    Published 2017-12-01
    “…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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  11. 711

    Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

    Published 2025-04-01
    “…First, the maximum entropy inverse reinforcement learning (MaxEnt IRL) method is employed to learn vehicle path selection strategy, i.e. the reward function, from the real data. …”
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  12. 712

    Design and Application of the Communication & Signaling System forAutonomous-rail Rapid Transit by GU Feng, LIU Guangyong, JIANG Xiaoqing, LIU Weikang, ZHOU Tianhong

    Published 2020-01-01
    “…The system needs to have clear system structure, reasonable function distribution and appropriate technical scheme selection to ensure the good operation effect of autonomous-rail rapid tram. …”
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  13. 713

    HGCS—A Multiplex Transmission Method for Wide-Area Unmanned Aerial Vehicle Cluster Inspection Data in Hybrid Networked Transmission Lines by Ruchao Liao, Xionggang Li, Jinchao Guo, Wenxing Sun, Guoqiang Li

    Published 2024-01-01
    “…We propose the Hybrid Grouping Cluster Selection (HGCS) algorithm, which outperforms the recently devised algorithms like Hybrid Cluster Access Selection (HCAS) and Hybrid Grouped Network Selection (HGNS) by maximizing the execution efficiency and QoS parameters. …”
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  14. 714

    Playability of self-sustained musical instrument models: statistical approaches by Pégeot Martin, Colinot Tom, Doc Jean-Baptiste, Fréour Vincent, Vergez Christophe

    Published 2024-01-01
    “…A second sample-based method is proposed for the calculation of the probability density function of transient durations. Additionally, a study taking into account specific control scenarios is presented to highlight the influence of the distribution of initial conditions considered for the statistical methods. …”
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  15. 715

    Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

    Published 2020-06-01
    “…In this paper, two conflicting objective functions are simultaneously solved. The first objective function is the maximization of the match between the interpolated EC distributions obtained from data of the all available monitoring wells and the wells from the newly generated network. …”
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  16. 716

    NANOMODIFIED CONCRETE by B. M. Khroustalev, V. V. Yaglov, Ya. N. Kovalev, V. N. Romaniuk, G. A. Burak, A. A. Mezhentsev, N. S. Gurinenko

    Published 2015-12-01
    “…An additional environment is required in order to solve this problem and the environment will form a continuous phase in the composite. This function can be performed by liquid or dispersed phase.…”
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  17. 717

    Research on the Evaluation of Chinese Prefabricated Building Strategic Partners Based on Cloud Model and Improved Evidence Theory by Sunmeng Wang, Chengjun Wang, Wenlong Li

    Published 2025-01-01
    “…To address the fuzziness and randomness of the traditional membership function, the cloud model is applied to calculate the membership value between the test samples and the benchmark cloud, which is subsequently transformed into basic probability distribution in the evidence theory. …”
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  18. 718

    Robust pareto multiobjective optimum design of FG-Beam under moving mass by Moein Abdollah-Salimi, Nader Nariman-Zadeh, Reza Ansari

    Published 2024-06-01
    “…The optimal selection of Functionally Graded Material (FGM) materials profiles, with regard to cost functions such as weight and stress, is an important issue in the optimization field. …”
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  19. 719

    Yeti claws: Cheliped sexual dimorphism and symmetry in deep-sea yeti crabs (Kiwaidae). by Christopher Nicolai Roterman, Molly McArthur, Cecilia Laverty Baralle, Leigh Marsh, Jon T Copley

    Published 2025-01-01
    “…In contrast, a reanalysis of data for the methane seep inhabiting yeti crab Kiwa puravida revealed no significant difference in claw allometry, indicating a possible lack of similar sexual selection pressures, and highlighting potential key differences in the ecological and reproductive strategies of K. tyleri and K. puravida relating to claw function, microbial productivity and population density. …”
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  20. 720

    A Joint Optimization Method for Power and Array of Multi-Point Sources System by Zhihao Cai, Shiqi Xing, Xinyuan Su, Junpeng Wang, Weize Meng, Ziwen Xiao

    Published 2025-07-01
    “…In a multi-point source system, increasing the jamming power can expand the distribution area of the equivalent radiation center, but significantly increases the system exposure risk. …”
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