Progress in Martian seismology and temporal changes of Martian subsurface structure by Chuwen Xie, Zhikun Liu

“…This article reviews the research progress of Mars seismology based on InSight data, including the new understanding of marsquakes properties and the investigation of Mars internal structure. …”
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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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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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MODELING THE EVOLUTION OF WHIRL STRUCTURES IN A SUPERSONIC GAS STREAM by I. G. Lebo, A. I. Simakov

“…With the help of mathematical modeling methods we studied the evolution of whirl structures moving in a gas behind a shock wave front. …”
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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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The role of biotransformation and chemical structure of drugs in the diagnosis of drug allergies by T. N. Myasnikova, V. V. Smirnov

“…As a result of skin testing, LA for the amino group of beta-lactams was confirmed; No data have been obtained for LA on the beta-lactam ring, clavulanic acid, or macrolides.…”
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STRUCTURE OF INVESTMENT COSTS OF DAIRY SHEEP BREEDING FARMS IN BULGARIA by Tsvetana HARIZANOVA – METODIEVA, Nikola METODIEV

“…The structure of the investment costs of the dairy sheep farms was explored. …”
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Peridynamic Model of Vibrations in a Two-Dimensional Periodic Structure by Yuldasheva, A.V.

“…The study examines a peridynamic model on a two-dimensional periodic structure related to graphene -a two dimensional allotropic form of carbon. …”
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Analysis of Selected Methods of Computer-Aided Design for Stage Structures by Szymon Wyrąbkiewicz, Marcin Zastempowski, Jurand Burczyński, Maciej Gajewski

“…It was found that in this type of structure, a detailed analysis in 3D CAD programs is not necessary for the proper design of the supporting structure, which allows for simplification of the design process. …”
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Picture Fuzzy Concept Lattice Models for Knowledge Structure Analysis by Chen Zhang, Zengtai Gong

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Chronic Toxoplasma infection modifies the structure and the risk of host behavior. by Cristina Afonso, Vitor B Paixão, Rui M Costa

“…These results suggest that brain cysts in animals chronically infected with Toxoplasma alter the fine structure of exploratory behavior and risk/unconditioned fear, which may result in greater capture probability of infected rodents. …”
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Role of Lignin in Moisture Interactions of Cellulose Microfibril Structures in Wood by Aleksi Zitting, Antti Paajanen, Michael Altgen, Lauri Rautkari, Paavo A. Penttilä

“…Wide‐angle scattering shows that delignification has no substantial effect on the cellulose crystal structure and how it changes with moisture. Both the scattering results and simulations suggest that lignin is a passive, rather than an active participant in the moisture response of microfibril bundles in wood cell walls. …”
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LATE HOLOCENE SEDIMENTATION IN ACTIVE GEOLOGICAL STRUCTURES OF THE CHUKCHI SEA by E. G. Vologina, I. A. Kalugin, A. V. Dar’in, A. S. Astakhov, M. Sturm, G. P. Chernyaeva, N. V. Kulagina, A. N. Kolesnik

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COMPARATIVE CHARACTERISTICS OF THE STRUCTURE OF THE VENOUS WALL OF THE EXTREMITIES OF HUMANS AND DOGS by Дмитрий Алексеевич Евсюков, Антон Юрьевич Цуканов, Юрий Тихонович Цуканов, Вера Павловна Дорофеева, Илья Олегович Снитко, Мурат Ханапиевич Аликберов, Александр Николаевич Кузовкин, Илья Евгеньевич Винник

“…At the same time, the identified difference in structure cannot serve as a reason for refusing to interpolate data when modeling varicose veins in dogs in an experiment.…”
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