FORMATION OF PROFESSIONAL COMPETENCE IN THE COURSE OF PHYSICO-CHEMICAL LABORATORY WORKSHOP IN ECONOMIC UNIVERSITY by Natalia Yu. Stozhko, Boris I. Bortnik, Albina V. Tchernysheva, Ekaterina M. Podshivalova

“…The complex of competences which development is promoted by a laboratory workshop on analytical chemistry and physicalchemical methods of the analysis is emphasized. The connections of these competences with content of the laboratory practical work providing the application of electronic resources optimizing labor-consuming routine transactions of an experiment and facilitating handling of its results are determined. …”
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Quantification of intra-amniotic inflammation in late preterm prelabour rupture of membranes by Marie Vajrychova, Jaroslav Stranik, Rudolf Kupcik, Michaela Sadibolova, Rudolf Kukla, Radka Bolehovska, Marian Kacerovsky

“…Levels of amniotic fluid proteins determined by MS were put into the correlation with IL-6 concentration determined by electrochemiluminescence immunoassay method (ECLIA). …”
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Passively heated fiber optic distributed temperature sensing for long-term soil moisture observations by Kusnahadi Susanto, Kusnahadi Susanto, Jean-Philippe Malet, Jean-Philippe Malet, Xavier Chavanne, Vincent Marc, Julien Gance

“…The results show a good performance as indicated by a determination coefficient of 0.92, a root mean square error of 0.06 m3/m3 and a mean relative percentage error of 1.41%. …”
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm. by Guangmei Ma

“…This indicated that the research method had higher accuracy in processing key image information and higher efficiency. …”
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Distributed OPGW abnormal vibration monitoring and forewarning based on LSTM by Tianlong Bu, Hanpeng Kou, Dapei Zhang, Zhenhua Feng, Helen Law, Bin Wang

“…Experimental results in Hulunbuir demonstrate that the LSTM algorithm performs well in predictions over a 22-h period, evidenced by a root mean square error of 0.8729 and a determination coefficient (R2) of 0.9938 for the fitting curve with actual results. …”
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PENGEMBANGAN SOAL ASESMEN KOMPETENSI MINIMUM (AKM) MATEMATIKA PADA MATERI PELUANG UNTUK PESERTA DIDIK SMP by Supri Mulyani, Lusiana Lusiana, Jumroh Jumroh

“…The reproducibility coefficient value is 0.92 > 0.90, the scalability coefficient value is 0.77 > 0.60, which indicates the questions are good to use. …”
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Methodological Approaches to the Integrated Evaluation of Brand Strength Based on the System of Indicators and Modeling of Generalized Results of the Consumer Survey by O. A. Shikhova

“…Mathematical and statistical methods were used as the basis for transferring the results of the respondents’ answers into the coefficient form, their standardization and generalization. …”
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Multi-Label Feature Selection with Graph-based Ant Colony Optimization and Generalized Jaccard Similarity by Sabah Robitan Mahmood, Tahsin Ali Mohammed Amin, Khalid Hassan Ahmed, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…Jaccard generalized similarity coefficient is used to select the most suitable communication target for efficient learning outcomes. …”
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On the Evaluation of the Reaction of Urban Managers Facing Flood as an Environmental Hazard with Emphasis on Resiliency (Case Study: Jiroft city) by Hossein Ghazanfarpour, 1 Marzieh Sedaghat Kish, Mogtaba Soleymani Damaneh, Yasser Sabahi Goraghani

“…The most influential factor. The final step in determining the rank of each factor affecting the resilience of the city of Jiroft is the model of the best and worst method that the researchers will achieve in their final destination. …”
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Can Clinician-Stabilization with Hand-Held Dynamometry Yield a Reliable Measure of Knee Flexion Torque? by Daniel Larson, Daniel Lorenz, Brittany Melton

“… # Hypothesis/Purpose Determine inter and intra-rater reliability of two clinically efficient methods of assessing isometric knee flexion torque using hand-held dynamometry with clinician-stabilization. …”
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FunFOLDQA: a quality assessment tool for protein-ligand binding site residue predictions. by Daniel B Roche, Maria T Buenavista, Liam J McGuffin

“…The estimation of prediction quality is important because without quality measures, it is difficult to determine the usefulness of a prediction. Currently, methods for ligand binding site residue predictions are assessed in the function prediction category of the biennial Critical Assessment of Techniques for Protein Structure Prediction (CASP) experiment, utilizing the Matthews Correlation Coefficient (MCC) and Binding-site Distance Test (BDT) metrics. …”
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Dynamic Loading of Bar Systems with a Finite Number of Degrees of Freedom by Sergei P. Ivanov, Oleg G. Ivanov, Anastasia S. Ivanova

“…The article presents a method for analyzing the dynamic stability of bar systems with one and two degrees of freedom. …”
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Modeling of Common Mode Interference of Secondary Side of Potential Transformer in VFTO Excitation by PANG Fubin, JI Jianfei, WU Xianqiang, ZHOU Mengxia, YAN Wei, XU Dong

“…The experimental results show that predictions made by the model are basically consistent with the measured results with a coefficient of determination (R2) is 0.85. The proposed model can describe the time-frequency characteristics of VFTO interference waveforms, providing a basis for the development of VFTO immunity standards and the operation and maintenance of power equipment.…”
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SBNNR: Small-Size Bat-Optimized KNN Regression by Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin, Jovana Kuljanin

“…The outcomes exhibit an enhancement of up to 5% in the coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> score) using the proposed method compared to the standard KNN method optimized through grid search.…”
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Assimilation of the total electron content obtained from GNSS to a model of the ionosphere using a hierarchical Bayesian network by Tang Jun, Hu Jiacheng, Zhang Wei, Fan Cihang, Zhou Qiangbo

“…Thus, the HBN method is effective for ionospheric data assimilation.…”
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Adaptive Symmetry Self-Matching for 3D Point Cloud Completion of Occluded Tomato Fruits in Complex Canopy Environments by Wenqin Wang, Chengda Lin, Haiyu Shui, Ke Zhang, Ruifang Zhai

“…Experiments conducted on 150 tomato fruits with 5–70% occlusion rates demonstrate that ASSM achieved coefficient of determination (R²) values of 0.9914 (length), 0.9880 (width) and 0.9349 (height) under high occlusion, reducing the root mean square error (RMSE) by 23.51–56.10% compared with traditional ellipsoid fitting. …”
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Digital Pathology for Analyzing Endomyocardial Biopsy Specimens by A. A. Slavinskiy, A. A. Verevkin, L. M. Chuprinenko, V. L. Drushevskaya, M. V. Kristesiashvili

“…We used the streptavidin-biotin method to determine the CD68 expression and computer-assisted morphometry of digital images to measure the area of pathological changes and CD68 expression.   …”
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Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation by Eluã Ramos Coutinho, Jonni G.F. Madeira, Robson Mariano da Silva, Angel Ramon Sanchez Delgado, Alvaro L.G.A. Coutinho

“…The findings are assessed based on the coefficient of correlation (r), mean absolute error (MAE), root mean square error (RMSE), and mean percentage error (MPE), and are contrasted with the Hargreaves-Samani, Jensen-Haise, Linacre, Benavides & Lopez, and Hamon methods, along with the Multilayer Perceptron (MLP) neural network, which is conventionally trained and employs hyperparameter tuning techniques such as Grid Search (MLP-GRID) and Random Search (MLP-RD). …”
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Prediction of Temporal Liking from Temporal Dominance of Sensations by Using Reservoir Computing and Its Sensitivity Analysis by Hiroharu Natsume, Shogo Okamoto

“…The trained models exhibited prediction accuracy of the determination coefficient as high as 0.676–0.993, with the median being 0.951. …”
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Tunnel face stability in strata rich in water with soft upper and hard lower layers by Tao Zhan, Ziwei Hu, Yan Kuang, Zhiliang Zhu, Kaiyi Liao

“…The parameter analysis reveals that this comprehensive critical support force exhibits complex variations under the influence of multiple parameters. At the same time, a method is proposed to determine the upper and lower bounds of the ultimate support force, based on the calculation results under no seepage and free seepage conditions at the excavation face. …”
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