Research on the charging periods of the ultra-shallow play in front of the Hashan area, northwestern margin of the Junggar Basin by WANG Qianjun, ZHOU Jian, ZHANG Faqiang, YU Hongzhou, WU Qianqian, LU Hongli, LIU Qingxin, ZHOU Yu, CHENG Ming, YAN Jianzhao, LYU Yanfang

“…Objective  The Hala’alat Mountain front-overthrust belt, renowned for its abundant hydrocarbon resources, is characterized by multi-layer oil-bearing systems and intricate source-reservoir relationships. …”
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Состояние проблемы учета динамических процессов в расчетах дорожных одежд автомобильных дорог на прочность... by Alyona Yurjevna Bazhenova, Aleksandr Vladimirovich Smirnov

“…In this case the dynamic analysis becomes more complex but the data on dynamic processes in each layer of a multilayer pavement structure turns to be more adequate. …”
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The middle Cretaceous El Abra Limestone at its type locality (facies, diagenesis and oil emplacement), east-central Mexico by Joaquín Eduardo Aguayo-Camargo

“… The reef complex El Abra Limestone of the Cretaceous Valles-San Luis Potosí Platform at mid-eastern Mexico, is widely accepted to range from Albian to Cenomanian. …”
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Influence of classical agrotechnics of crop cultivation on soil fertility in a forest ameliorated agro-landscape by Vedeneeva Varvara

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High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…Current semantic segmentation models have limitations in addressing tunnel lining crack, such as high complexity, misidentification, or inability to detect tiny cracks in specific practical scenarios, which is crucial for precise assessment of tunnel lining health. …”
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Numerical Simulation on Frost of Cryogenic Finned-Tube Vaporizer Based on Fractal Theory by Chen Shuping, Yao Shuting, Xie Fushou, Han Hongyin

“…The frost growth on the cryogenic surface is more complex, and it has a bigger ability of filling space. …”
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A Reflection on the Use of Additive Manufacturing in Nephrology for Education and Surgical Planning by Azhar Equbal, Shahid Akhtar, Md. Asif Equbal

“…The technology uses the principle of layer by layer-based manufacturing of parts following the bottom-up approach. …”
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ENGINEERING GEOPHYSICAL RESEARCH FOR MAPPING OF HYDROGEOLOGICAL CONDITIONS OF IMERETI LOWLAND by S. A. Grokholskaya, V. V. Romanov

“…The work is devoted to the use and results of the main methods of engineering geophysics in the study of flooding on the territory of Imereti lowland (Sochi, Krasnodar region). The complex research includes the methods of engineering seismic works, electrical DC (direct current) and GPR (ground penetrating radar). …”
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Research on Cascading Failure Model of Urban Regional Traffic Network under Random Attacks by Ruru Xing, Qingfang Yang, Lili Zheng

“…For better describing the network cascading failure caused by random attacks such as traffic accidents, this paper introduces the ORNL-PSerc-Alaska (OPA) model to analyze the urban regional traffic network vulnerability. Firstly, the double-layer network model is built for analyzing the complex characteristics of the regional traffic network. …”
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The Vexing but Diverting Web of Relationship: Swift, Gulliver, and the Reader by Nasir Jamal Khattak

“…By examining the satirical nuances and narrative techniques employed by Swift, the paper elucidates the complex dynamics between Gulliver's evolving perspective and the reader's reception of his voyages. …”
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Fano physics behind the N-resonance in graphene by R. O. Kuzian, D. V. Efremov, E. E. Krasovskii

“…The resonance occurs when the lateral scattering couples the layer-perpendicular incident electron wave to a strictly bound state. …”
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Basin‐Width Dependence of the Meridional Width of Ocean Striations by Y. Zhang

“…Abstract The investigation of ocean striations holds significant value for a comprehensive understanding of the complex multi‐scale ocean circulations and the transfer of energy and matter between them. …”
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Application of DBN deep learning algorithm in anti stealing electricity system by Dandan LI, Bingyu GE, Wenwen HUANG, Lei XIE, Shengqi QIAN

“…With the development of economy,the electric power demand increases gradually,but because of the relative backwardness in the automation of electricity,the phenomenon of electric stealing is common.But the traditional anti electric stealing means generally centered around how to strengthen the technical transformation of the electric energy metering device,and the management efficiency is low.The purpose of deep learning is to use the method of constructing the multi-layer neural network model.To learn the potential features of image,text,voice and other data,it also has good effect on the classification problem.The successful application of the deep learning algorithm in many complex fields provides a new effective way to solve the problem of anti stealing electricity.The structure and learning algorithm of DBN and the anti-stealing model based on DBN algorithm was mainly introduced.Finally,experiments were carried out and the results were analyzed.…”
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Community detection in multiplex networks via consensus matrix by Nianwen Ning, Bin Wu

“…In complex network of real world,there are many types of relationships between individuals,and the more effective research ways for this kind of network is to abstract these relationship as a multiplex network.More and more researchers are attracted to be engaged in multiplex network research.A novel framework of community detection of multiplex network based on consensus matrix was presented.Firstly,this framework merges the structure of multiplex network and the information of link between each node into monoplex network.Then,the community structure information of each layer network was obtained through consensus matrix,and the traditional community division algorithm was utilized to carry out community detection of combine networks.The experimental results show that the proposed algorithm can get better performance of community partition in the real network datasets.…”
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Research on coal mine data management and service platform by Chen Yunqi

“…In order to solve the problems of massive data of multi-source heterogeneous systems in coal mines, such as complex types, difficult aggregation, poor quality, and lack of a unified service platform, this paper analyzes the key technologies and theoretical methods in data collection, transmission, storage, calculation and service, and designs a coal mine data and management service platform based on a multi-layer architecture. …”
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The Crossroads of Real-World Contingency in Qualitative Research: Challenges, Lessons and Resilience by Zitian Zeng

“…These circumstances of contingency are complex and multi-layered. This article describes the experience of designing and conducting in-person field research on inclusive pedagogical practice with teachers in Hong Kong during the COVID-19 pandemic. …”
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Slowness and sparseness lead to place, head-direction, and spatial-view cells. by Mathias Franzius, Henning Sprekeler, Laurenz Wiskott

“…The numerical simulations are complemented by a mathematical analysis that allows us to accurately predict the output of the top SFA layer.…”
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Analysis of helio- and geophysical events in October–November 2021 from comprehensive observations of SHICRA SB RAS by Kozlov Vladimir, Starodubtsev Sergei, Grigoryev Vladislav, Baishev Dmitry, Makarov Georgy, Pavlov Egor, Karimov Rustam, Korsakov Aleksey, Stepanov Aleksandr, Koltovskoi Igor, Ammosov Petr, Gavrilieva Galina, Ievenko Igor, Parnikov Stanislav

“…The paper reports the results of comprehensive observations of space weather manifestations during geophysical events at the end of October – beginning of November 2021 at the Yakut meridional geophysical network of SHICRA SB RAS equipped with a complex of various scientific instruments installed at the stations Yakutsk, Maimaga, Zhigansk, and Tixie Bay (neutron monitors, an ionosonde, a riometer, receivers of VLF radio noise and signals from navigation radio stations, magnetometers), as well as a complex of optical instruments installed in Maimaga. …”
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Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech by Julianna Olah, Win Lee Edwin Wong, Atta-ul Raheem Rana Chaudhry, Omar Mena, Sunny X. Tang

“…Our study aimed to (1) identify an optimal assessment approach for the online and remote collection of speech, in the context of assessing the psychosis spectrum and evaluate whether a fully automated, speech-based machine learning (ML) pipeline can discriminate among different conditions on the schizophrenia-bipolar spectrum (SSD-BD-SPE), help-seeking comparison subjects (MDD), and healthy controls (HC) at varying layers of analysis and diagnostic complexity. We adopted online data collection methods to collect 20 min of speech and demographic information from individuals. …”
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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

“…The ResNet101 model is augmented with innovative layers such as the pattern descriptor parsing operation (PDPO) and the detection convolutional kernel layer (DCK), which are designed to extract the most relevant features from datasets such as ADNI and OASIS. …”
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