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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Structural equation modeling for green technology system in environmental monitoring by Mukaddas Abbasovna Umarova, Abbas Abdupattaxovich Nabixodjayev, Barno Shukhratovna Akbarova, Munisa Jamoliddin qizi Xusnuddinova

“…To meet the increased data accuracy demands of environmental monitoring and decision-making, the capability of green technology-driven analytical models must improve. …”
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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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ETHOD FOR MANAGING THE STRUCTURAL-MECHANICAL PROPERTIES OF FOAM CONCRETE MIXTURES by A. Yu. Bogatina, V. N. Morgun, L. V. Morgun

“…Objectives At present, the urgency of scientific research aimed at reducing the material consumption of building structures is growing. Since foam concrete proved to be an effective material for wall structures, the aim of the present work was to develop scientific ideas about features of their macrostructural formation at the “viscous to solid” phase transition.Methods The evaluation of plastic strength was carried out according to the patent for invention No. 2316750 (“Method for determining the plastic strength of foam concrete mix” registered in the State Register of Inventions of the Russian Federation on February 10, 2008). …”
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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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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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Machine learning-based fatigue lifetime prediction of structural steels by Konstantinos Arvanitis, Pantelis Nikolakopoulos, Dimitrios Pavlou, Mina Farmanbar

“…In this study, a dataset containing experimental data from various structural steels is used. Through preprocessing and feature selection, four techniques are explored: Polynomial Regression, Support Vector Regression (SVR), XGB Regression and Artificial Neural Network (ANN), aiming to identify the most effective algorithm. …”
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Picture Fuzzy Concept Lattice Models for Knowledge Structure Analysis by Chen Zhang, Zengtai Gong

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Examination of Structural Characteristics and Biosecurity of Sheep Farms in Niğde Province by Özgür Tarık Şen, Murat Durmuş, Nazan Koluman

“…The aim was to examine the structural features and biosecurity practices of sheep farms operating in Niğde province. …”
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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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Microvascular and Structural Characterization of Birdshot Chorioretinitis in Active and Inactive Phases by Aina Moll-Udina, Marina Dotti-Boada, Anabel Rodríguez, Maite Sainz-de-la-Maza, Alfredo Adán, Victor Llorenç

“…Exam data from fundus and nasal subfields were analyzed for microvascular changes and quiescence predictors. …”
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