Causal structure learning in directed, possibly cyclic, graphical models by Semnani Pardis, Robeva Elina

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The prospective impact of new shopping centres on the retail structure of Braga by Guimarães Pedro Porfirio

“…Following the application for two new shopping centres in the city of Braga, a medium-size city located in the North region of Portugal, the purpose of this paper is to look for evidence of the possible impacts of those commercial structures on the retail sector of Braga. An overview of the literature allows us to conclude the strong relation between retail and cities and their town centres. …”
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Metaphorical Space of Emotions in Russian: Structure and Cognitive Strategies of Modeling by L. G. Babenko, M. A. Romanova

“…This article focuses on the analysis of the structure of the metaphorical space of emotions, modeled through a paradigmatic analysis of emotive vocabulary. …”
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Structure guided functional analysis of the S. cerevisiae Mre11 complex by Marcel Hohl, You Yu, Vitaly Kuryavyi, Dinshaw J. Patel, John Petrini

“…We present here a 3.2 Å cryo-EM structure of the S. cerevisiae Mre11-Rad50 complex with bound dsDNA. …”
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Research on Damping Engagement Methodology in Dynamic Analysis of Isolated Structure by Miao Han, Jinwei Jiang, Hongkai Du, Sijia Feng

“…Analyzing experimental data, we can obtain the optimal frequency combination of RD and nonproportional damping during dynamic analysis of the isolated structure, the priority order of choosing damping models. …”
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Structure of the turnover-ready state of an ancestral respiratory complex I by Bozhidar S. Ivanov, Hannah R. Bridges, Owen D. Jarman, Judy Hirst

“…Abstract Respiratory complex I is pivotal for cellular energy conversion, harnessing energy from NADH:ubiquinone oxidoreduction to drive protons across energy-transducing membranes for ATP synthesis. Despite detailed structural information on complex I, its mechanism of catalysis remains elusive due to lack of accompanying functional data for comprehensive structure-function analyses. …”
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Expanding kinetoplastid genome annotation through protein structure comparison. by Juan Manuel Trinidad-Barnech, José Sotelo-Silveira, Darío Fernández Do Porto, Pablo Smircich

“…The results (KASC, Kinetoplastid Annotation by Structural Comparison) are openly accessible to the community at kasc.fcien.edu.uy through a user-friendly, gene-by-gene interface that enables visual inspection of the data.…”
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Intercellular network structure and regulatory motifs in the human hematopoietic system by Wenlian Qiao, Weijia Wang, Elisa Laurenti, Andrei L Turinsky, Shoshana J Wodak, Gary D Bader, John E Dick, Peter W Zandstra

“…Network structure analysis revealed that ligand production is cell type dependent, whereas ligand binding is promiscuous. …”
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Damage Localization in a Building Structure during Seismic Excitation by Jesús Morales-Valdez, Luis Alvarez-Icaza, José A. Escobar

“…Aging of buildings during their service life has attracted the attention of researchers on structural health monitoring (SHM). This paper is related with detecting damage in building structures at the earliest possible stage during seismic activity to facilitate decision-making on evacuation before physical inspection is possible. …”
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Ion‐scale structure in Mercury's magnetopause reconnection diffusion region by Daniel J. Gershman, John C. Dorelli, Gina A. DiBraccio, Jim M. Raines, James A. Slavin, Gangkai Poh, Thomas H. Zurbuchen

“…In addition, variations in PCB latitude likely correspond to intermittent bursts of ~0.3–3 mV/m reconnection electric fields separated by ~5–10 s, resulting in average and peak normalized dayside reconnection rates of ~0.02 and ~0.2, respectively. These data demonstrate that structure in the magnetopause diffusion region at Mercury occurs at the smallest ion scales relevant to reconnection physics.…”
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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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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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