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  1. 2961

    Covert marketing in films and series by Dimitrijević Ljiljana, Gojković Marija, Kolar Janez

    Published 2024-01-01
    “…The viewer identifies with the characters from the film or series, whose actions remind them of their life situations or what they aspire to, thus avoiding promotion through classic advertising blocks or space provided for advertisements, and the believability of the message is greatly increased.…”
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    Article
  2. 2962

    Carriage Methicillin-Resistant Staphylococcus aureus in Poultry and Cattle in Northern Algeria by Saliha Bounar-Kechih, Mossadak Taha Hamdi, Hebib Aggad, Nacima Meguenni, Zafer Cantekin

    Published 2018-01-01
    “…Bacteriological isolation and identification were made by classical culture method and antibiotic resistance patterns were determined by disc diffusion test. …”
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    Article
  3. 2963

    On the Dynamical Complexity of a Seasonally Forced Discrete SIR Epidemic Model with a Constant Vaccination Strategy by Jalil Rashidinia, Mehri Sajjadian, Jorge Duarte, Cristina Januário, Nuno Martins

    Published 2018-01-01
    “…In this article, we consider the discretized classical Susceptible-Infected-Recovered (SIR) forced epidemic model to investigate the consequences of the introduction of different transmission rates and the effect of a constant vaccination strategy, providing new numerical and topological insights into the complex dynamics of recurrent diseases. …”
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  4. 2964

    Pre-failure indicators detected by Acoustic Emission: Alfas stone, cement-mortar and cement-paste specimens under 3-point bending by Stavros K. Kourkoulis, Ioanna Dakanali

    Published 2017-04-01
    “…In this direction, an attempt is here described to enlighten the signals recorded, in case a series of structural materials (natural and artificial), ex-tensively used for restoration projects of classic monuments in Greece, are subjected to 3-point bending. …”
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  5. 2965

    A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification by Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qing-Feng Li

    Published 2025-01-01
    “…The final model achieved an accuracy of 85.71% for MPNST diagnosis in the validation cohort and 84.75% accuracy in the independent test set, outperforming another classic two-step model. This success suggests potential for AI models in screening other whole-body primary/metastatic tumors.…”
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  6. 2966

    Quantum distance approximation for persistence diagrams by Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas

    Published 2025-01-01
    “…However, computing the distance between two persistence diagrams involves finding an optimal way to match the points of the two diagrams and may not always be an easy task for classical computers. Recently, quantum algorithms have shown the potential to speedup the process of obtaining the persistence information displayed on persistence diagrams by estimating the spectra of persistent Dirac operators. …”
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  7. 2967

    Improvement of a Free-Wake Model for the Aerodynamic and Aeroacoustic Analysis of a Small-Scale Two-Bladed Propeller in Hover by Manuel Iannotta, Antonio Visingardi, Domenico Quagliarella, Fabrizio De Gregorio, Mattia Barbarino, Alex Zanotti

    Published 2024-12-01
    “…An optimization procedure based on the application of the evolutionary Genetic Algorithm is followed to identify the values of the parameters describing the dissipative and diffusive properties in the Bhagwat–Leishman vortex core model, an upgraded version of the classical Lamb–Oseen one. On average, this approach enabled the further improvement of the accuracy of the numerical model in terms of acoustic signature evaluation with respect to the one obtained by only modeling blade dissimilarities. …”
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  8. 2968

    Identification of a Non-Linear Landing Gear Model Using Nature-Inspired Optimization by Felipe A.C. Viana, Valder Steffen Jr., Marcelo A.X. Zanini, Sandro A. Magalhães, Luiz C.S. Góes

    Published 2008-01-01
    “…The solution to this inverse problem can be obtained by using classical gradient-based optimization methods. However, this is a difficult task due to the existence of local minima in the design space and the requirement of an initial guess. …”
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  9. 2969

    Current Advance and Future Prospects of Tissue Engineering Approach to Dentin/Pulp Regenerative Therapy by Ting Gong, Boon Chin Heng, Edward Chin Man Lo, Chengfei Zhang

    Published 2016-01-01
    “…This review critically examines the classic triad of tissue engineering utilized in current regenerative endodontics and summarizes the possible techniques developed for dentin/pulp regeneration.…”
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  10. 2970

    Replica wormholes and entanglement islands in the Karch-Randall braneworld by Hao Geng

    Published 2025-01-01
    “…Such a black hole lives on a brane and is highly quantum yet has a holographic dual as a higher dimensional classical theory that lives in the ambient space. Moreover, such a black hole is coupled to a nongravitational bath which is absorbing its Hawking radiation. …”
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  11. 2971

    Free Vibration Analysis of Laminated Composite Double-Plate Structure System with Elastic Constraints Based on Improved Fourier Series Method by Ying Zhang, Dongyan Shi, Dongze He, Dong Shao

    Published 2021-01-01
    “…The proposed model combines the first-order shear deformation theory (FSDT) and the classical delamination theory, and then the LCDPS’s vibration characteristics are investigated. …”
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  12. 2972

    Quantitative Influence Analysis of the Development Scale of Market Economy on the Level of Music Innovation by Yang Li, Qiuyi Zhang, Tianzhuo Gong

    Published 2022-01-01
    “…This research mainly uses a convolutional neural network and long and short-term memory neural network technology to quantitatively analyze the relationship between the development scale of the market economy and the form of music innovation, which is mainly a quantitative analysis of classical music, pop music, and rap music. The research results show that convolutional neural networks and long short-term memory neural networks have sufficient capabilities to quantitatively analyze the relationship between the market development scale and the form of music innovation. …”
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  13. 2973

    Venture Investment Incentive Mechanisms and Simulation with Venture Entrepreneurs Having Multistage Efforts Based on Fairness Preference Theory by Kaihong Wang, Chuan Ding, Jiacheng Chen, Aimin Li

    Published 2016-01-01
    “…Therefore, efforts variables are seen as the multistage dynamic variable, and venture investment principal-agent model with venture entrepreneurs having multistage efforts is constructed on the basis of the classic principal-agent theory in the paper. Further, in the later stage effort of venture entrepreneurs is affected by the size of prestage benefit with venture capitalists and venture entrepreneurs; thus the fairness preference model is improved, and venture investment principal-agent model with venture entrepreneurs having multistage efforts is constructed on the basis of fairness preference theory. …”
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  14. 2974

    Identifying and Analyzing the Effects of Urban Creep on the Situation Development of Rural Areas around (Case Study: Villages around of Marivan City) by saadi mohammadi, askandar moradi, Sharmin hosaini

    Published 2020-03-01
    “…Data gathering in the theoretical part of the documentary and in the field was conducted by a survey method based on an interview with the local people and the locals to identify the outcomes, and then the classical distribution of the questionnaire among the studied villages and simple random among 203 households supervised by The Cochran formula was determined by volume, 30 from local development experts and observers of the status quo, in order to generalize the findings from the interviews. …”
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  15. 2975

    A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network by Yulian Li, Yang Su

    Published 2025-01-01
    “…Experimental results demonstrate that LT-GCN outperforms the classical GCN model on training time and LTGG exhibits greater performance than other benchmark models on prediction accuracy.…”
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  16. 2976

    Two-Dimensional Cutting (TDC) Vitrectome: In Vitro Flow Assessment and Prospective Clinical Study Evaluating Core Vitrectomy Efficiency versus Standard Vitrectome by Mitrofanis Pavlidis

    Published 2016-01-01
    “…Aspiration flow rates remained constant independent of TDC vitrectome cut rate, while flow rates decreased linearly at higher cutter speeds using a classic single-blade vitrectome. Mean duration of core vitrectomy surgeries using a TDC vitreous cutter system was significantly (p<0.001) shorter than the mean duration of core vitrectomy procedures using a single-cut vitrectome of the same diameter (reduction range, 34%–50%). …”
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  17. 2977

    The mediating effect of perceived value on customer loyalty of BMT NU East Java by Mohamad Mondir, Siti Habibatur Rahma

    Published 2024-03-01
    “…It uses non-probability sampling, and data collected will be analyzed with the help of SPSS software to obtain statistical correlation and regression techniques (validity test, reliability test, classic assumption test, path analysis, t-test, and trimming test). …”
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  18. 2978

    Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

    Published 2025-01-01
    “…Secondly, a new loss, Var Loss is proposed to add to main loss function in order to decrease the variance of classification results, thus reducing the impact of sample diversity on model performance. Classical CNN classifiers are employed to distinguish three kinds of wood images: dead knot, live knot and ordinary grain. …”
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  19. 2979

    Perceptions of Czech Rural Life by its Inhabitants in Connection to Tourism by Renata Klufová, Marek Šulista

    Published 2018-04-01
    “…The perceptions of tourism are monitored in conjunction with other characteristics of self-assessment by respondents and their assessment of the villages in which they live. Classical dependencies of the obtained data from the survey were analysed at first, and then multidimensional statistical methods (CATegorical Principal Component Analysis, cluster analysis) were used in the hypothesis testing of the interference of "hard" and "soft" factors of the rural development. …”
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    Article
  20. 2980

    The first books in Kaunas by Sigitas Lūžys

    Published 2024-08-01
    “…In the library of the latter, there were even works of classical authors (Virgilius, Ovidius, Martialis). …”
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