Single-layer cluster ionic-chain networks with tetragonal pores by Haoyang Li, Qichen Lu, Fenghua Zhang, Qingda Liu, Jing Zhuang, Zhong Li, Xun Wang

“…However, a significant gap exists between all-inorganic 2D networks with inorganic connectors and those with organic connectors due to the greater complexity of functionalizing inorganic molecules. Addressing this gap, we present a new class of 2D all-inorganic porous networks: single-layer cluster ionic-chain networks (CINs), constructed by using PW10M2 (M = Mn, Co) polyoxometalate (POM) clusters as nodes and end-capping agents for ionic chains. …”
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Evaluation of additional points in the 24-2C visual field test in pre-perimetric glaucoma by Gökhan Çelik, Tuncay Karaçocuk, Furkan Çiftci

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Advanced machine learning technique for solving elliptic partial differential equations using Legendre spectral neural networks by Ishtiaq Ali

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A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory by Lin Zhang, Jian Lu, Bai-bai Fu, Shu-bin Li

“…Following study process of the complexity and resilience of complex network, this paper reviews the complexity and resilience of PTN from four topics, i.e., the PTN complexity, the static resilience of PTN, the dynamic resilience (cascading failures based resilience) of single layered PTN, and the dynamic resilience of interdependent PTN. …”
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Convergence of Extreme Value Statistics in a Two-Layer Quasi-Geostrophic Atmospheric Model by Vera Melinda Gálfi, Tamás Bódai, Valerio Lucarini

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Fluorescence Label‐Free Doxorubicin Sensor Using Polystyrene Sulfonate as a Synthetic Receptor in Whispering Gallery Mode Microresonators by Elena Maurina, Algı Domac, Mateusz Olszyna, Lars Dähne, Giuseppe Barillaro

“…Abstract The conventional quantification of Doxorubicin (DXR), a crucial anticancer drug, typically relies on complex and expensive techniques, limiting measurements beyond hospital settings and at different time intervals. …”
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Can ephapticity contribute to brain complexity? by Gabriel Moreno Cunha, Gilberto Corso, Matheus Phellipe Brasil de Sousa, Gustavo Zampier Dos Santos Lima

“…We propose that these electric field couplings may provide an additional layer of connectivity that facilitates the formation of complex patterns and emergent dynamics in the brain. …”
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pyLAIS: A Python package for Layered Adaptive Importance Sampling by Ernesto Curbelo, Luca Martino, David Delgado-Gómez

“…Monte Carlo (MC) techniques are widely used to draw from complex distributions and/or for the calculation of related integrals. …”
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ANALYSIS LAYER MODEL OF POLYMER COMPOSITE DESIGN UNDER MULTIFACTOR LOADING by Oleg G. Osyaev, Yury A. Taturin, Alexey M. Kostin, Artur V. Zhukov

“…A mathematical model is offered for the analysis of complex stress-strain state of the layer load-carrying structures of the aircraft planes. …”
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Visibility layers: a framework for systematising the gender gap in Wikipedia content by Pablo Beytía, Claudia Wagner

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American Sign Language Recognition Model Using Complex Zernike Moments and Complex-Valued Deep Neural Networks by Selda Bayrak, Vasif Nabiyev, Celal Atalar

“…A complex-valued deep neural network (CVDNN) capable of processing the feature vector composed of complex numbers across layers is also developed. …”
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Reflection coefficient for two elastic layers joining two homogeneous materials by Z. WESOŁOWSKI

“…The reflection coefficient for the harmonic wave depends on the elastic constants of the layers and the frequency. The formula is too complex for an analytical treatment. …”
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Traffic identification of network business based on multi-layer cascade algorithm by Feng HUANG, Yao WANG, Li HUANG, Jiming YAO, Shidong LIU

“…The contradiction between traffic demand and network bandwidth is the main problem of the current network.Traffic management is one of the effective solutions,at the same time it can improve the quality of service of the network,and network traffic identification is the basis of fine traffic management.The traffic identification method of network business based on multi-layer cascade algorithm was proposed,after the research of network traffic identification and machine learning techniques.This method can adapt to the situation of the complex network traffic flow,and can balance the contradiction between the time performance and the accuracy of the machine learning algorithm.Furthermore the cascade algorithm of this method takes the cost imbalance into account,and takes more attention to the identification of important business,so it can help enhance user experience.…”
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Design of double layer satellite constellation based on distributed satellite clusters by Ji JIANG, Mugen PENG, Wenbo WANG

“…Nowadays,the land communication system is unable to support the complex information needs,and realizing global seamless coverage and high capacity through space information network is anticipated.The existing satellite network is mainly composed of single satellite constellation,which absents the cooperation between the low earth orbit (LEO) satellites and geostationary orbit (GEO) satellites.A double-layer satellite constellation based on distributed satellite clusters was proposed,in which the infrastructure layer was composed of LEO satellites,the communication between LEO satellites was accomplished over inter-satellite links (ISL),and GEO satellites enhance the performance of coverage in low and middle latitudes.As simulation results show,the proposed approach can realize excellent global multiple coverage only relying on the deployment of satellite earth stations in China.…”
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Cloud federation three-layer architecture: game-theoretic QoS modeling by MA Kun, HU Chuangyue, ZHANG Yuzhi, MA Fangchao, WANG Xiaodong, DANG Zhonghua, XIAO Wenhong, CHEN Shuangxi

“…A QoS based cloud federation model was proposed to address the above issues, covering a three-layer architecture of cloud computing. At the application to virtual layer, an innovative task allocation strategy based on the differential evolution (DE) algorithm was proposed, specifically designed to handle multi-QoS task distribution challenges. …”
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

“…In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation classification, with an attention layer for organizing the context information on the word level and a tensor layer for detecting complex connections between two entities. …”
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LIMIT EQUILBRIUM SAFETY ANALYSIS OF PILE IN LATERAL SPREAD: THREE-LAYER by Reda Farag

“…This paper presents a simplified safety analysis method of the single piles subjected to lateral spread in three layered soils. With the suggested method the analyst can get a quick estimate of the pile safety using few simulations of the pile-soil structural model. …”
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Obstacle detection and avoidance system based on layered costmaps for robot tractors by Ricardo Ospina, Kota Itakura

“…The system integrates a cost-effective 2D LiDAR sensor for obstacle detection, combined with real-time avoidance maneuver calculation to ensure continuous and safe operation. A static layer map was created using a simple image processing technique, so it can be easily integrated with the layered costmaps. …”
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Retinal Nerve Fiber Layer Thickness in Women with Polycystic Ovary Syndrome by Mehmet Demir, Dilek Guven, Arzu Koc, Savas Ozdemir, Efe Can

“…To compare the retinal nerve fiber layer (RNFL) thickness between women with polycystic ovary syndrome (PCOS) and healthy women. …”
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Incipient Separation for Hypersonic Shock Wave/Turbulent Boundary Layer Interaction by Haodong WANG, Bowen ZHU, Lin BAO

“…Shock/turbulent boundary layer interaction (STBLI) is a prevalent and complex flow phenomenon in the aerospace sector that significantly impacts the aerodynamic performance of vehicles. …”
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