A Novel Dynamic Context Branch Attention Network for Detecting Small Objects in Remote Sensing Images by Huazhong Jin, Yizhuo Song, Ting Bai, Kaimin Sun, Yepei Chen

“…To address this issue and improve the detection performance of small objects (typically defined as objects with a bounding box area of less than 1024 pixels), we propose a novel backbone network called the Dynamic Context Branch Attention Network (DCBANet). …”
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A self-healing plastic ceramic electrolyte by an aprotic dynamic polymer network for lithium metal batteries by Yubin He, Chunyang Wang, Rui Zhang, Peichao Zou, Zhouyi Chen, Seong-Min Bak, Stephen E. Trask, Yonghua Du, Ruoqian Lin, Enyuan Hu, Huolin L. Xin

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Construction of dynamic ceRNA regulatory networks in osteogenesis during fracture healing based on transcriptomic analysis by Shuhang Guo, Shen Wang, Shaoxun Yuan, Xinyi Gu, Jin Deng, Chen Huang, Xinyi Zeng, Qingguo Lu, Xiaofeng Yin

“…In summary, our study leveraged bioinformatics to construct ceRNA networks involved in osteogenesis post-fracture, offering insights into their dynamic regulatory role in healing and underlying molecular mechanisms.…”
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Network Pharmacology, Molecular Docking, and Molecular Dynamics Analysis of Honokiol against Triple-negative Breast Cancer by Hassan H. Alhassan

“…The current study carried out a multidisciplinary study integrating network pharmacology, molecular docking, and molecular dynamics analysis to elucidate the molecular mechanisms underlying the anticancer effects of honokiol against TNBC. …”
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Potential of Sivelestat for Pulmonary Arterial Hypertension Treatment: Network Pharmacology-Based Target Identification and Mechanistic Exploration by Deng X, Qiu P, Li X, Hu Y, Que Q, Zhang K, Deng T, Liu Y

“…We have initially elucidated the molecular mechanism by which sivelestat acts in the treatment of PAH and have conducted preliminary validation through molecular docking studies and experimental approaches.Keywords: network pharmacology, pulmonary artery hypertension, sivelestat, molecular dynamic…”
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Effective connectivity analysis of response inhibition functional network by Monica Di Giuliano, Andy Schumann, Feliberto de la Cruz, Pedro Henrique Rodrigues Da Silva, Karl-Jürgen Bär

“…We conducted a Go-NoGo fMRI task with 19 healthy participants to investigate these networks.ResultsOur results identified four functional networks activated during correct motor response inhibition: the salience network (SN), the right and left executive control networks (ECNs), and the ventral default mode network (vDMN). …”
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Siamese network with squeeze-attention for incomplete multi-view multi-label classification by Mengqing Wang, Jiarui Chen, Lian Zhao, Yinghao Ye, Xiaohuan Lu

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Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence by Adva Shoham, Rotem Broday-Dvir, Itay Yaron, Galit Yovel, Rafael Malach

“…Here we addressed this question by comparing, dynamically, the relational structure of prefrontal activations and both visual and textual-trained deep neural networks (DNNs) during a visual memorization task. …”
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DSS-MobileNetV3: An Efficient Dynamic-State-Space- Enhanced Network for Concrete Crack Segmentation by Haibo Li, Yong Cheng, Qian Zhang, Lingkun Chen

“…To address this, we propose an efficient dynamic-state-space-enhanced network termed DSS-MobileNetV3 for crack segmentation. …”
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Accurate Arc Modeling of Single-Phase Arc Grounding Fault in Distribution Network and Research on Dynamic Arc Energy by Yan Li, Jianyuan Xu, Zhenxin Geng

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A Dynamic Power Flow Calculation Method for the “Renewable Energy–Power Grid–Transportation Network” Coupling System by Bo Li, Jiawei Liu, Yunche Su, Qiao Zhang, Deyuan Zhang, Zhigang Liu

“…To address the issue of inaccurate power flow calculations in the asymmetric coupling system of a power grid and traction network, this paper proposes a dynamic power flow calculation method for the “renewable energy–power grid–transportation network” asymmetric coupled system. …”
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Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series by Sébastien Lhoumeau, João Pinelo, Paulo A.V. Borges

“…This research conducted a comparative analysis of Local Polynomial Regression (LOESS), Seasonal Autoregressive Integrated Moving Average (SARIMA), and Recurrent Neural Network (RNN) models for time-series prediction. …”
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Neural Correlates of Flight Acceleration in Pigeons: Gamma-Band Activity and Local Functional Network Dynamics in the AId Region by Suchen Li, Zhuo Tang, Mengmeng Li, Lifang Yang, Zhigang Shang

“…In parallel, local functional network analysis showed that the clustering coefficient of gamma-band activity in the AId followed a nonlinear, U-shaped relationship with flight acceleration—exhibiting the strongest and most widespread connectivity during deceleration, moderate connectivity during acceleration, and the weakest network coupling during steady flight. …”
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Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks by Nadia Shamshad, Lei Wang, Kiran Saleem, Danish Sarwr, Salil Bharany, Ahmad Almogren, Jaeyoung Choi, Ateeq Ur Rehman, Ayman Altameem

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Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks by Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim

“…Traditional fuzzy logic-based schemes that often rely on static fuzzy tables and fixed membership functions are limiting their ability to adapt to evolving network conditions. To address these limitations, in this paper, we conduct a comparative study of two innovative broadcasting schemes that enhance adaptability through dynamic fuzzy logic membership functions for the broadcasting problem. …”
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Design of Morlet wavelet neural networks integrated with sequential quadratic programming to analyze the dynamics of Ebola virus disease by Asifa Ashraf, Abaid Ur Rehman Virk, Umar Ishtiaq, Ahmed Samy Mohamed Elwahsh, Ioan-Lucian Popa

“…The study aims to investigate the design of an integrated intelligent computing strategy in the framework of Morlet wavelet neural networks (MWNNs) for predicting solutions for an Ebola virus disease (EVD) model. …”
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Toxicity on Social Media During the 2022 Mpox Public Health Emergency: Quantitative Study of Topical and Network Dynamics by Lizhou Fan, Lingyao Li, Libby Hemphill

“…Using topic modeling based on bidirectional encoder representations from transformers and social network community clustering, we delineated the toxic dynamics on Twitter. …”
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Mechanism of Salvia miltiorrhiza in the treatment of periodontitis: integrative analyses via network pharmacology, molecular dynamics, and cellular assays by Yabing Chen, Siyu Du, Yijing Guo, Yi Zheng, Lei Wang

“…The aim of this study was to investigate the therapeutic mechanism of S. miltiorrhiza in periodontitis using an integrated approach combining network pharmacology, molecular docking, molecular dynamics simulations, and experimental validation. …”
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Numerical Modeling of the Conductivity of the Particle Monolayer with Reduced Size by Yuxuan Liu, Jiandong Wang, Jianchun Guo, Haiyan Zhu, Jie Zeng

“…Fractures filled with a proppant monolayer play an important role in the hydraulic fracture network. Predicting the conductivity of these fractures is the basis of fracture network optimization. …”
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New data-based load modeling for active distribution networks by Daladier Osorio-Vásquez, Sandra Pérez-Londoño, Juan Mora-Flórez

“…The transition to active distribution networks (ADNs) represents a significant technological advancement in this ever-evolving context. …”
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