A model for predicting acute heart failure in patients with acute myocardial infarction by taking into account energy and adipokine metabolism indicators by M.Yu. Koteliukh

“…The study showed decreased levels of adropin, irisin and CTRP3 and increased levels of FABP4 in AMI patients. A mathematical model for predicting AHF development in AMI patients was proposed. …”
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A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

“…For the case p = 2, mathematical relations are given for calculating the intervals and distances AD(Ti, Tk) for address sequences 2A used for controlled random testing of storage devices. …”
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Primena daljinske detekcije u inventuri mešovitih šuma hrasta lužnjaka by Borota Dragan, Pantić Damjan, Ponjarac Radenko, Popović Aleksandar

“…In high, mixed, middle-aged and maturing Penduculate oak stands, the possibility of using aerial photogrammetry in the inventory was tested, both to obtain informa­tion related to site and stand information and to determine numerical elements (number of trees, basal area and volume per hectare) obtained on the basis of data read from the images (crown diameter, height and estimated breast height diameter of the tree based on the selected mathematical model). Most of the information from the site and stand infor­mation, especially the information about the above-ground parts of the forest (presence of dead cover, ground vegetation, shrubs, weeds, saplings and the degree of their damage, etc.) could not be identified from the image. …”
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Predictive modeling for durability characteristics of blended cement concrete utilizing machine learning algorithms by Bo Fu, Hua Lei, Irfan Ullah, Mohammed El-Meligy, Khalil El Hindi, Muhammad Faisal Javed, Furqan Ahmad

“…Accordingly, this study employed gene expression programming (GEP) and multi-expression programming (MEP) to develop a robust model for predicting these parameters, providing mathematical equations for their estimation. Additionally, the study to develop a graphical user interface that would allow for predictions based solely on input values, thereby eliminating the need for extensive physical testing. …”
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RELATIONSHIP OF SELF-REGULATION AND PERSONAL PROFESSIONAL PERSPECTIVE OF STUDENTS by D. P. Zavodchikov, P. O. Manyakova

“…Pryazhnikov were applied. Mathematical-statistical processing of the results was carried out by means of the Kolmogorov-Smirnov test. …”
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Research on Damage Assessment of Concrete-Filled Steel Tubular Column Subjected to Near-Field Blast Loading by Ying Cui, Meimei Song, Zhan Qu, Shanshan Sun, Junhai Zhao

“…Finally, based on the two pressure-impulse damage evaluation curves, the two pressure-impulse damage criteria for these two different fixed-end CFST columns were defined based on the deflection of the surfaces facing the explosives. Furthermore, the mathematical formulae for the two different column types were established to generate pressure-impulse diagrams. …”
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A bibliometric analysis of 30 years of research on transarterial radioembolization (TARE) for hepatocellular carcinoma by Tongyao Hu, Tongyao Hu, Qifan Xu, Qifan Xu, Guorong Jia, Tao Wang, Changjing Zuo

“…The number of publications was analyzed and mathematically fitted to a curve using Microsoft Excel 2021 and SPSS 25, and then was plotted in the graph using GraphPad Prism 8.0. …”
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Free vibration analysis of aluminum foam metal sandwich panels: a comparative study between numerical and analytical modelling by Zahra Hamdan, Sadeq Bakhy, Muhsin Jweeg

“…The panels consist of an aluminum foam core sandwiched between two aluminum sheets, offering a lightweight yet structurally robust solution, making them ideal for applications in the aerospace and automotive industries. A mathematical model based on classical plate theory (CPT) was developed to compute the natural frequencies of supported rectangular sandwich plates. …”
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Research on the robustness of convolutional neural networks in image recognition by Dian LIN, Li PAN, Ping YI

“…Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on robustness of neural networks were too sweeping and most of them focused on adversarial robustness, which causes difficulty in further study in the mechanism of neural network robustness.The related researches of neuroscience were introduced and the concept of visual robustness was put forward.By studying the similarity and difference between neural network models and human visual system, the internal mechanism and faults of neural network robustness were revealed.The researches of neural network robustness in recent years were reviewed, and the reasons for the lack of robustness of neural network models were analyzed.The lack of robustness of neural networks is reflected in their sensitivity to small perturbations.The reason is that neural networks tend to learn high-frequency information for calculation and inference, which is difficult for humans to recognize.High-frequency information is easily affected by perturbations, and eventually causes mistakes of models.Previous researches on robustness mostly focused on mathematical properties of models, and were limited in the natural faults of neural networks.Visual robustness extends the traditional concept of robustness.The traditional concept of robustness measures the discrimination ability of models for distorted image examples.Distorted examples and clean examples can get correct outputs through robust models.Visual robustness measures the consistency between models and humans in discrimination ability.Visual robustness combines the research methods and achievements of neuroscience and psychology with artificial intelligence.The development of neuroscience in the field of vision were reviewed, and the application of research methods of cognitive psychology in neural network robustness were discussed.Human visual system has advantages in learning and abstract ability, whill neural network models have better performance in calculation speed and memory.The difference between the physiological structure of human brain and the logical structure of neural network models is the key factor leading to the problem of robustness of neural networks.The research of visual robustness requires deeper understanding of human visual system.Revealing the differences in cognitive mechanism between human visual system and neural network models and effectively improving the algorithm are the development trends of neural network robustness and even artificial intelligence.…”
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Agency development of high school students in the process of professional self-determination by Evgeniya S. Volkova, Alexander V. Kaptsov

“…The questionnaire of the stages of agency development of high school students (OSS-SH) and the projective method of assessing the states of the stages of agency development of students were used as diagnostic methods. Mathematical processing of the obtained data was carried out by using the Wilcoxon T-test to compare changes in parameters over time, and the non-parametric tau-Kendall correlation coefficient to identify relationships. …”
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Numerical Simulation of Gas–Liquid–Solid Three-Phase Erosion in a Gas Storage Tank Tee by Zongxiao Ren, Chenyu Zhang, Zhaoyang Fan, Yanfei Ren

“…In accordance with the principles of the multiphase flow theory, the particle discrete phase model, high temperature, high pressure, water volume fraction, and other pertinent factors, this paper presents a three-phase gas–liquid–solid erosion mathematical model of a three-way gas storage reservoir. …”
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Nanomechanical characterization of soft nanomaterial using atomic force microscopy by Chi-Dat Lam, Soyeun Park

“…We comprehensively reviewed experimental techniques and fundamental mathematical models to investigate the mechanical properties, including elastic moduli and binding forces, of soft materials.To determine these mechanical properties, two-dimensional arrays of force-distance (f-d) curves are obtained through AFM indentation experiments using the force volume technique. …”
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Measuring effective indicators for waste disposal in order to assess the sustainable environment: application of fuzzy approach by Mohammad Hossein Kabgani

“…Also, the technical contribution of this article is presented by combining fuzzy logic and Nonlinear mathematical programming.…”
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SegRD＋＋:Revisiting RD＋＋ for anomaly detection(SegRD++：重新审视基于RD++的异常检测) by 张浚然(ZHANG Junran), 曹俊杰(CAO Junjie)

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Optical time-lapsed in situ mechanochemical studies on metal halide perovskite systems by Yonghao Xiao, David G. Bradley, Wei Xin Chan, Xinwen Hu, Lian Xiao, Zhenpeng Liu, Zi Yang Tan, Xin Zhao, Chenfei Li, Mansour Sadek, Vikash Kumar Ravi, Ying Hern Tam, Xiaotao Wang, Felipe García, Handong Sun, Seow Chin Low, Poh Boon Phua, Tze Chien Sum, Xiuwen Zhou, Yee-Fun Lim, John V. Hanna, Han Sen Soo

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The Impact of Movement Control Order (MCO) during Pandemic COVID-19 on Local Air Quality in an Urban Area of Klang Valley, Malaysia by Mohd Shahrul Mohd Nadzir, Maggie Chel Gee Ooi, Kemal Maulana Alhasa, Mohd Aftar Abu Bakar, Anis Asma Ahmad Mohtar, Mohd Fadzil Firdzaus Mohd Nor, Mohd Talib Latif, Haris Hafizal Abd Hamid, Sawal Hamid Md Ali, Noratiqah Mohd Ariff, Johary Anuar, Fatimah Ahamad, Azliyana Azhari, Norfazrin Mohd Hanif, Mohammed Ahmed Subhi, Murnira Othman, Mohd Zaim Mohd Nor

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Convergent Power Series of sech⁡(x) and Solutions to Nonlinear Differential Equations by U. Al Khawaja, Qasem M. Al-Mdallal

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Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions by Azadeh Ghazanfari, Afshin Fayyaz Movaghar

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Compact Dual-Band Dipole Antenna with Asymmetric Arms for WLAN Applications by Chung-Hsiu Chiu, Chun-Cheng Lin, Chih-Yu Huang, Tsai-Ku Lin

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