Effect of temperature on the modal parameters of continuous rigid frame bridge by Yang Yang, Md Sulayman Hossen, Giuseppe Lacidogna, Wenming Xu, Ibna Kawsar, Junbo Sun, Shameem Hossain

“…Mode shape and damping ratio were analyzed using MATLAB software using the covariance-driven stochastic subspace identification method (SSI-COV) and the logarithmic decrement method. …”
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Stability analysis of grid-connected hydropower plant considering turbine nonlinearity and parameter-varying penstock model by Chen Feng, Na sun, Chuang Zheng, Yongqi Zhu, Nan Zhang, Yahui Shan, Liping Shi, Xiaoming Xue

“…The NN-based differentiation method (NND) is adopted to obtain the transfer coefficients of the linear hydro-turbine model under full operating conditions (FOC). …”
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ENHANCING EMPLOYEE ENGAGEMENT IN SMALL AND MEDIUM ENTERPRISES (SMES) THROUGH LEADERSHIP, COMPENSATION AND APPRAISALS by Arti Awasthi, Farhina Sardar Khan, Syed Shahid Mazhar, Tariq Fayez M Aldhamadi, Ehsanul Haque, Ritesh Kumar Chaudhary

“…Consequently, employee engagement is a critical determinant of success for SMEs, where each employee's contribution is important. …”
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Textural Characteristics and Anatomical Structure of Hard- and Soft-Fleshed Jujube Fruits by Xiaodong Zhang, Min Yan, Yongle Sun, Xiaofeng Zhou, Ze Yuan, Xiangyu Li, Minjuan Lin, Cuiyun Wu

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Ambient Noise Imaging of Western Europe From Combining Linear SOLA Backus–Gilbert Inference and Non‐Linear Probabilistic Approaches by Ahmed Nouibat, Christophe Zaroli, Sophie Lambotte

“…We use the Subtractive Optimally Localized Averages (SOLA) Backus–Gilbert inference method to determine surface wave velocities as local (unbiased) averages of the “true” model parameters. …”
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Modeling study of uniaxial compressive strength prediction from similar analog drilling test signals by Heqing LIU, Jiankang LIU, Jian HAO, Lijin ZHAO, Jianquan TANG

“…By varying the number of hidden layers, population and training function of GA−BP neural network, the factors affecting the prediction model and the results are discussed and analyzed to determine the optimal prediction model structure. The results indicate that there is a responding relationship between the vibration signal with drilling and the UCS of similar simulated materials, and the accuracy of the constructed prediction models are above 70%, and the research method of predicting the UCS with the perception of vibration signal with drilling has certain feasibility; The model results are optimal when trainlm is chosen for the training function, the hidden layer is 8, and the number of populations is 20,with coefficients of determination of 0.761 and 0.745 for the training set and the test set, respectively, the root-mean-square errors are 6.039 MPa and 4.254 MPa, and the mean absolute errors are 6.574 MPa and 4.716 MPa, respectively. …”
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THE CRIMINAL PROCEDURAL PHENOMENON OF THE OATH: A LEGAL RUDIMENT OR AN UNDERVALUED PUBLIC LAW PROCEDURE? by LATYPOV Vadim Sagit'yanovich

“…In the course of the study, the method of historical analysis is used, which makes it possible to determine the role and significance of the oath in criminal proceedings in different periods; the comparative legal method based on the analysis of criminal procedure legislation of some foreign countries; as well as the method of legal modeling, which allows to determine what transformations are required in the existing regulatory basis of the swearing-in procedure for individual participants in Russian criminal proceedings. …”
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THE MODERN POSSIBILITIES OF COMPUTED TOMOGRAPHY IN THE VISUALIZATION OF ACUTE PANCREATITIS by A. A. Litvin, E. G. Knyazeva, A. A. Filatov

“…At the present stage, perfusion CT of the  pancreas, threedimensional modeling of digital images, determination of anisotropy of pancreatic tissue allow improving the diagnostic efficiency of CT in patients with acute pancreatitis.…”
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Force-Driven Model for Automated Clear Aligner Staging Design Based on Stepwise Tooth Displacement and Rotation in 3D Space by Sensen Yang, Yumin Cheng

“…This study introduced a novel force-driven automated staging design method for clear aligners, aimed at enhancing treatment planning efficiency and outcomes. …”
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Development of Decline Curve Analysis Parameters for Tight Oil Wells Using a Machine Learning Algorithm by Weirong Li, Zhenzhen Dong, John W. Lee, Xianlin Ma, Shihao Qian

“…Overall coefficients of determination (R2) of the three Arps decline curve factors were 0.966, 0.990, and 0.945. …”
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EVALUATION OF TECHNICAL STATE OF GAS TURBINE PLANT ACCORDING TO THE RESULTS OF THE CONSTRUCTION OF THE PIVOT THROTTLE CHARACTERISTICS by A. R. Zagretdinov, R. I. Kamaev, V. I. Kruglov, V. N. Loginov

“…The approach to determining the health of gas turbine engine based on the construction of SDH proposed method of increasing the reliability of calculation results. …”
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Measurements of the quantum yield of silicon using Geiger-mode avalanching photodetectors by Harry Lewis, Mahsa Mahtab, Fabrice Retière, Austin De St. Croix, Kurtis Raymond, Maia Henriksson-Ward, Nicholas Morrison, Aileen Zhang, Andrea Capra, Ryan Underwood

“…The validity of the method is assessed using supplementary measurements of absolute photon detection efficiency, and an additional novel method of measuring average quantum yield using DC current–voltage measurements of SiPMs is presented and used for corroboration.…”
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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…Compared with the deep learning method, the recognition accuracy of SSIM is decreased by 5.96%, but it takes less resources and has high efficiency.…”
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Tandem Solar Cells Based on Cu2O and c-Si Subcells in Parallel Configuration: Numerical Simulation by Mihai Răzvan Mitroi, Valerică Ninulescu, Laurenţiu Fara

“…A numerical simulation based on the single-diode model of the solar cell is performed. The numerical method determines both the model parameters and the parameters of the subcells and tandem from the maximization of output power. …”
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A Diffusive Predator-Prey System with a Free Boundary by Rasulov, M.S., Jamoldinova, Sh.M.

“…Nonlinear problems with free boundary are studied using a method based on constructing a priori estimates. Therefore, first, using a method based on constructing a priori estimates, we will determine the constraints on the parameters of the problem, under which it is globally solvable. …”
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Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar by Bin Sun, Haowen Chen, Xizhang Wei, Xiang Li

“…Since the sparse representation coefficients exhibit block sparsity, we use a block sparse Bayesian learning (BSBL) method to estimate the locations of multitarget, which has many advantages over existing block sparse model based algorithms. …”
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Field‐programmable gate array acceleration of the Tersoff potential in LAMMPS by Quan Deng, Qiang Liu

“…Finally, mathematical models of the accelerator are built, and a method for using the models to determine the optimal‐performance parameters is proposed. …”
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New Optical Soliton Solutions to the Fractional Hyperbolic Nonlinear Schrödinger Equation by Ahmad Sharif

“…Exact analytical solutions of the model are acquired through applying an integration method, namely, the Sine-Gordon method. It is observed that the method is able to efficiently determine the exact solutions for this equation. …”
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Optimization of Cdx Transcription Factors Characteristics by Javanbakht T.

“…This application is essential as it can help compare the characteristics of these proteins and determine the optimized output of their comparison with this decision-making method. …”
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Quantum Chemical Study on the Corrosion Inhibition of Some Oxadiazoles by Hong Ju, Li Ding, Can Sun, Jie-jing Chen

“…Quantum chemical calculations based on DFT method were performed on three nitrogen-bearing heterocyclic compounds used as corrosion inhibitors for the mild steel in acid media to determine the relationship between the molecular structure of inhibitors and inhibition efficiency. …”
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