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  2. 16142

    CONSUMER PREFERENCE RESEARCH IN FORMING RATIONAL COMPONENT OF REGIONAL BRANDS IN THE MEAT PRODUCT MARKET by Mel'nikova E.I., Ponomareva N.V., Bogdanova E.V.

    Published 2017-03-01
    “…The research results confirm that the obtained neural network predicts the main characteristics of normalized mixes with α-lactoglobulin hydrolysate almost accurately; the relative error does not exceed 2.6% when predicting α-lactoglobulin content, 3.9% when predicting residual antigenicity and 3.1% when predicting titratable acidity and organoleptic characteristics. …”
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  3. 16143
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    Image Processing Method Based on Chaotic Encryption and Wavelet Transform for Planar Design by Yiying Liu, Young Chun Ko

    Published 2021-01-01
    “…The plaintext image is decomposed in odd-even sequence using the boosting algorithm to get the sequence with an even index and the sequence with an odd index; then, the diffusion algorithm is applied to the two sequences by the prediction and update algorithm, and this process is repeated many times to get the two ciphertext sequences after scrambling, merging these two sequences, and matrixing them to get the ciphertext image. …”
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  7. 16147

    Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology by Julliana Gonçalves Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu

    Published 2025-03-01
    “…This study proposes a dimensionality reduction approach combined with a clustering technique to visually analyse structural similarities among SARS-infected individuals, aiming to determine whether aspects such as case progression and diagnosis impact these patterns.MethodsThis analysis utilised the t-Distributed Stochastic Neighbour Embedding (t-SNE) algorithm for dimensionality reduction, combined with Gower's distance to handle categorical data, and k-means clustering. …”
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  8. 16148

    The features of the first trimester of pregnancy course in first-time mothers over 40 years old by Т. V. Lescheva

    Published 2017-12-01
    “…The purpose of the work is the pregnancy miscarriage frequency reduction in primiparous women over 40 years old on the basis of the clinical-echographic, endocrinological, biochemical and microbiological changes study. …”
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  9. 16149

    Diagnosis Method for High-Speed Train Axle Box Bearing Slight Faults Based on Improved SAE and Temperature-Vibration Fusion by XU Xiao, SONG Dongli, WANG Zifan

    Published 2025-04-01
    “…Then, by optimizing the dimensionality reduction algorithm based on SAE (stacked auto encoder), an effective fusion method of temperature-vibration features is proposed to achieve nonlinear fusion and dimensionality reduction of temperature and vibration features. …”
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  10. 16150

    Preoperative Planning Using 3D Printing as a Way to Improve the Outcomes of Surgical Treatment for Pilon Fractures by A. B. Koshkin, M. V. Parshikov, S. V. Novikov, A. A. Prokhorov, A. M. Fai

    Published 2024-09-01
    “…At the same time, in the treatment for comminuted intra-articular pilon fractures, there is no clearly defined operation algorithm: choice of access, reduction and fixation techniques. …”
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  11. 16151

    Analyzing the Impact of Binaural Beats on Anxiety Levels by a New Method Based on Denoised Harmonic Subtraction and Transient Temporal Feature Extraction by Devika Rankhambe, Bharati Sanjay Ainapure, Bhargav Appasani, Avireni Srinivasulu, Nicu Bizon

    Published 2024-12-01
    “…EEG data reveal changes in neural oscillation and connectivity linked to anxiety reduction; however, harmonics introduced during signal acquisition and processing often distort these findings. …”
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  12. 16152

    Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

    Published 2025-02-01
    “…The controller optimization algorithm is based on a functional expression with weighting coefficients that take into account control errors and the control action. …”
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  13. 16153

    Intelligent production adjustment early warning for shale gas wells based on fuzzy logic control by HE Chunyan, ZHAO Yong, LI Nanying, YANG Jian, CAO Haitao, TANG Ronglin

    Published 2025-02-01
    “…To address this issue, considering the typical lifecycle characteristics of shale gas wells, the study divided the lifecycle into three stages: liquid unloading and gas transportation, stable production and pressure reduction, and fixed pressure and production reduction. …”
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  14. 16154

    Carbon Policies and Liner Speed Optimization: Comparisons of Carbon Trading and Carbon Tax Combined with the European Union Emissions Trading Scheme by Ming Sun, Midakpe P. Vortia, Guangnian Xiao, Jing Yang

    Published 2025-01-01
    “…Focusing on liner shipping routes between China and Europe, it examines how carbon pricing mechanisms, including carbon taxes and emissions trading under the European Union Emissions Trading Scheme (EU ETS), impact operational costs and emissions reduction. With the use of advanced optimization methods, such as the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and the Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS), this research explores the balance between adjusting vessel speeds and minimizing emissions. …”
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    Reperfusion therapy of ischemic stroke by L. B. Novikova, A. P. Akopyan, K. M. Sharapova, E. M. Kolchina

    Published 2020-03-01
    “…The adherence to the thrombolysis algorithm and guidelines of patient management after thrombolysis contributes to the successful use of this treatment method in IS patients.…”
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    Seismic Performance Assessment of Optimal Tandem-Based Tuned Mass Damper Inerters by Maziar Fahimi Farzam, Shahram Ajori, Himan Hojat Jalali, Rim Najmeddine

    Published 2025-04-01
    “…The optimum design of all the studied configurations was determined by the particle swarm optimization (PSO) algorithm. The evaluation of the performances included the effectiveness in the frequency domain and that of the norm and maximum reduction in the displacement and absolute acceleration in the time domain under 21 earthquake records with different characteristics. …”
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    The impact of artificial intelligence on research efficiency by Mitra Madanchian, Hamed Taherdoost

    Published 2025-06-01
    “…However, challenges such as bias in algorithms, concerns about data privacy, and deficiencies in the infrastructure impede wide-scale application. …”
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  19. 16159

    Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique by Zhaoxin Jiang, Hongyan Xu, Hui Chen, Bei Gao, Shijie Jia, Zhi Yu, Jian Zhou

    Published 2021-01-01
    “…Then, an ANN model, an SVR model, a GP model, an SSA-GP model, and three empirical models were established, and the predictive performance was evaluated by using the root-mean-square error (RMSE), determination coefficient (R2), value account for (VAF), Akaike Information Criterion (AIC), Schwarz Bayesian Criterion (SBC), and the run time. …”
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