Protein homodimers structure prediction based on deep neural network by A. Y. Hadarovich, A. A. Kalinouski, A. V. Tuzikov

“…The use of the neural network in combination with optimization procedure based on gradient descent method allowed to predict structures for protein homodimers. The suggested approach was tested and validated on a dataset of protein homodimers from Protein Data Bank (PDB). …”
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EXPERIMENTAL STUDY ON CORROSION MONITORING AND ASSESSMENT OF CONCRETE STRUCTURES USING ACOUSTIC EMISSION by Ahmed Abouhussien, Assem Hassan

“…This paper aims to employ acoustic emission (AE) technique to detect and identify the level of damage resulting from reinforcing steel corrosion in reinforced concrete structures. Five reinforced concrete prism samples with a constant concrete cover (20 mm) were subjected to an accelerated corrosion test. …”
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Analyzing the impact of holistic building design on the process of lifecycle management of building structures by Ahsan Waqar, Khaled A Alrasheed, Abdul Mateen Khan, Hamad Almujibah, Omrane Benjeddou

“…The quantitative study polled 171 construction industry professionals and utilized Structural Equation Modelling to examine the data. This approach was selected for its ability to explore complex relationships between variables and constructs. …”
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AI-Driven Optimization of Multilayer Thin-Film Structures for Advanced Optical Applications by Emad Alkhazraji, Sani Mukhtar, Haitham Khaled, Jaime Viegas

“…In this study, we propose a data-driven framework that leverages a fully connected neural network (FCNN) as a surrogate model to accelerate and interpret the design of a high-reflectivity multilayer structure composed of alternating Ta2O5 and MgF2 layers. …”
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Brain Computer Interface using Genetic Algorithm with modified Genome and Phenotype Structures by Rohtash Dhiman, A Anshul

“…The binary population of GA is uniquely represented in three-dimensional structure and a new cross-over operator for GA are introduced. …”
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Navigating Teachers’ Occupational Well-Being in the Tides of Classroom Processes and School Structures by Joy C. Nwoko, Emma Anderson, Oyelola Adegboye, Aduli E. O. Malau-Aduli, Bunmi S. Malau-Aduli

“…Data were thematically analysed to identify key themes impacting teacher well-being. …”
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Nuclear α-cluster structures from valence-space microscopic cluster model by Zhen Wang, Dong Bai, Zhongzhou Ren

“…As a proof of principle, we apply the VS-MCM to study the α-cluster structures in 20Ne and 44Ti at first, with the theoretical energy levels of the Kπ=01± bands for 20Ne and 44Ti showing reasonable agreement with experimental data. …”
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Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models by Kyan Sadeghilari, Aditya Atre, John Hall

“…The Results and Discussion section analyzes the 20 kW wind turbine with previously acquired data from the National Renewable Energy Laboratory’s (NREL) AeroDyn v13 software. …”
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Structures of the human adult muscle-type nicotinic receptor in resting and desensitized states by Anna Li, Ashley C.W. Pike, Richard Webster, Susan Maxwell, Wei-Wei Liu, Gamma Chi, Jacqueline Palace, David Beeson, David B. Sauer, Yin Yao Dong

“…The combined kinetic and structural data offer a better understanding of both the AChR state transition and the pathogenic mechanisms of disease variants.…”
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Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

“…The development of industry, transport, mining and urban infrastructure leads to an increased risk of deformation processes in the ground and on engineering structures of anthropogenic origin. This necessitates the development and implementation of reliable monitoring systems for early detection of dangerous shifts, subsidence, or structural instabilities. …”
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COMPUTER SIMULATION OF ANTIFERROMAGNETIC STRUCTURES DESCRIBED BY THE THREE-VERTEX ANTIFERROMAGNETIC POTTS MODEL by Yarash K. Abuev, Albert B. Babaev, Pharkhat E. Esetov

“…Objectives A computer simulation of the antiferromagnetic structures described by the three-vertex Potts model on a triangular lattice is performed, taking into account the antiferromagnetic exchange interactions between the nearest J1 and second J2 neighbours. …”
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Fabrication and Analysis of Ion-Engineered ZnO Device Structures for Optoelectronic Applications by Fareeha Younus, Ahmed Shuja, Muhammad Ali

“…This work explores the impact of light-matter interaction on ion-induced ZnO structures and their respective energy band profiles. …”
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PREVALENCE AND STRUCTURE OF DENTOALVEOLAR ANOMALIES AMONG STUDENTS OF DONETSK REGION by S.P. Yarova, О.A. Kobtseva, Yu.Yu. Yarov, K.V. Novikova, D.D. Kobtseva

“…The aim of the study is to research the prevalence and structure of dentoalveolar anomalies among students of a medical university in the Donetsk region. …”
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Evaluation of Communicable Diseases Surveillance System Structure in Mosul City by Yasir M. Younus, Mohammed F. Khalifa

“…Objectives: Evaluatıng communicable diseases surveillance system structure at Mosul City.      Methodology: A descriptive study using an evaluation approach is conducted to evaluate the Communicable Diseases Surveillance System Structure in Mosul City from April 20th 2022 to May 21th 2023. …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Graviseismic structure of the earth’s crust and its five-oceanic geostrophe by A. F. Glebov

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Ground Vibration Analysis of Railroad Dynamic Loads on Rail Structure by Rini Kusumawardani, Mufita Aulia Zelin, Arief Kusbiantoro

“…The railroad structure consists of rail steel, sleepers, fastening, ballast, sub-ballast and subgrade. The load of the passing train at a certain speed can produce vibrations channeled through the train wheels to the railway steel to be forwarded to the sleepers then to the ballast and distributed to the subgrade. The amount of vibration caused by the train can be seen from the value of the acceleration, amplitude and frequency of the vibration. In this study, the accelerometer sensor was used to detect the magnitude of the vibration acceleration. The vibration acceleration data was then processed using Geopsy software to obtain the value of natural frequency and vibration amplitude using the HVSR (Horizontal to Vertical Spectral Ratio) method. The value of acceleration due to railroad vibration of 0.14 g - 0.64 g with a position placed 1.5 m sensor from the edge of the rail. The biggest vibration acceleration is 0.26 g x direction, 0.39 y direction and 0.29 z direction caused by Maharani trains that pass at a speed of 65 km / h and a load of 728 tons. The natural frequency of vibration obtained value 2.4077 Hz - 5.392 Hz. The highest natural frequency was caused when the Maharani train, which was 5.392 Hz. Train speed and load affected the vibration of the rail structure. The acceleration of vibration increased when the train speed and load increased…”
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Research on health monitoring of concrete structure based on G-S-G by Jiaqi Wang, Hongbi Kang, Kexin Li

“…Abstract An improved concrete structure health monitoring method based on G-S-G is proposed, which fully combines an optimized Gray-Level Co-occurrence Matrix (GLCM) with an improved Self-Organizing Map (SOM) neural network to achieve accurate and real-time concrete structure health monitoring. …”
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Water biological resources in the structure of environmental problems of energy facilities by M. L. Kalaida, A. R. Saetov

“…A comparative analysis of our own research and literature data on the use and evaluation of the effectiveness of fish protection structures (FPS) has been carried out. …”
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The amount and structure of geriatric physicians' educational activities in continuing education by O. F. Prirodova, M. A. Fomina, Yu. S. Prytkova

“…To investigate the volume and structure of educational activity of specialists admitted to the specialty of geriatrics in continuing education.Material and methods. …”
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