Two-Stage User Identification Based on User Topology Dynamic Community Clustering by Jiajing Zhang, Zhenhua Yuan, Neng Xu, Jinlan Chen, Juxiang Wang

“…In order to solve the problem of node information loss during user matching in the existing user identification method of fixed community across the social network based on user topological relationship, Two-Stage User Identification Based on User Topology Dynamic Community Clustering (UIUTDC) algorithm is proposed. …”
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Data-Driven Simulation of Pedestrian Movement with Artificial Neural Network by Weili Wang, Jiayu Rong, Qinqin Fan, Jingjing Zhang, Xin Han, Beihua Cong

“…Recently, data-driven models are receiving increasing attention in pedestrian dynamics studies, demonstrating a great potential in enhancing simulation performance. …”
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Validity and network structure of the Nomophobia Questionnaire in Peruvian medical students by Peter Garcia-Portocarrero, Deysi A. Saldaña-Amaya, Brayan Miranda-Chavez, Javier A. Flores-Cohaila, Cesar Copaja-Corzo

“…Data were collected through an online survey, promoted via social media and direct contacts. Factorial and network analyses were performed to evaluate the internal structure and dynamics of the questionnaire. …”
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Dynamic and bibliometric analysis of terms identifying the combating financial and cyber fraud system by Hanna Yarovenko, Marina Rogkova

“…The main purpose of this study is to conduct a dynamic and bibliometric analysis of the main terms that identify the system for combating financial and fraud to identify trends in the formation of social and scientific thought. …”
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Enhancing Real-Time Emotion Recognition in Classroom Environments Using Convolutional Neural Networks: A Step Towards Optical Neural Networks for Advanced Data Processing by Nuphar Avital, Idan Egel, Ido Weinstock, Dror Malka

“…The technological advancement of this research lies in the proposal to implement photonic hardware and create an optical neural network which offers unparalleled speed and efficiency in data processing. …”
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A multi-objective metaheuristic method for node placement in dynamic IoT environments by Farzad Kiani

“…NP-ESCSO not only optimizes IoT systems efficiently but also offers significant advancements in reducing computational overhead, improving scalability, and ensuring dynamic adaptability. Simulations conducted on real-world maps demonstrate that NP-ESCSO achieves a coverage rate of 92.44%, an energy efficiency of 48.69%, and a redundancy value of 2.096, significantly outperforming baseline methods. …”
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Reputation and Energy-Aware Dynamic Hybrid Consensus (READ-HC) Model for IIoT by Sristi Mitra, Vaishnavi Santosh Sable, Danium Shahnowaz Syed

“…This model shows high scalability, low latency, enhanced security, and high energy efficiency, which we found through conducted simulations. READ-HC outperforms traditional consensus mechanisms regarding communication complexity, consensus throughput, and its adaptability to network condition variations. …”
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Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts by Haowen Su, Xian Li, Savannah Born, Christopher J. Honey, Janice Chen, Hongmi Lee

“…Together, our findings highlight how the default and control networks guide the dynamic transitions and structure of naturally arising memory and future thinking.…”
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Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review by Mengqiang Hu, Mengqiang Hu, Bing Chen, Bing Chen, Yuanming Luo

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Dual-Channel Dynamic Gated Spatio-Temporal Graph for Traffic Flow Forecasting by Chao Wang, Jun-Feng Hao, He Huang, Wang Zou, Xia Sun, Ting Peng

“…Additionally, the predefined static graph structure fails to adequately capture the dynamic spatial features of traffic flow. To address the these challenges, this paper proposes a Dual-Channel Dynamic Gated Spatio-Temporal graph network (DC-DGST) for traffic flow prediction. …”
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Holistic analysis of the dynamic stability of the Southern Cameroon Interconnected grid in contingency situations by Philippe Adolphe Moulum, Jean Jacques Mandeng, Charles Hubert Kom

“…The Southern Cameroon Interconnected Network (SIG) is depicted as a large-scale power system that has shown significant instability due to a series of blackouts in recent years. …”
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Dynamic changes in the transcriptome and metabolome of pig ovaries across developmental stages and gestation by Binyun Pan, Jin Chai, Kaixin Fei, Ting Zheng, Yanzhi Jiang

“…Conclusions This study revealed the dynamic changes in the transcriptome and metabolome of pig ovaries across developmental stages and gestation, indicating that it may provide new theoretical insights for improving sow fertility.…”
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The developmental transcriptome dynamics of current-year shoot utilized as scion in Camellia chekiangoleosa by Yu Sheng, Haili Gao, Chunlian Yu, Guangyuan Huang, Kunxi Wang, Kailiang Wang, Leyan Lv, Wei Long

“…To better understand the weak scion development and slow graft-union healing underlying grafting propagation challenges in C. chekiangoleosa, we conducted temporal RNA-seq on current-year shoots with five time points determined according to changes in cell wall composition, aiming to reveal dynamic developmental regulation. …”
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Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics by Yushu Xia, Jonathan Sanderman, Jennifer D. Watts, Megan B. Machmuller, Andrew L. Mullen, Charlotte Rivard, Arthur Endsley, Haydee Hernandez, John Kimball, Stephanie A. Ewing, Marcy Litvak, Tomer Duman, Praveena Krishnan, Tilden Meyers, Nathaniel A. Brunsell, Binayak Mohanty, Heping Liu, Zhongming Gao, Jiquan Chen, Michael Abraha, Russell L. Scott, Gerald N. Flerchinger, Patrick E. Clark, Paul C. Stoy, Anam M. Khan, E. N. Jack Brookshire, Quan Zhang, David R. Cook, Thomas Thienelt, Bhaskar Mitra, Marguerite Mauritz‐Tozer, Craig E. Tweedie, Margaret S. Torn, Dave Billesbach

“…Future efforts to refine the RCTM system will benefit from long‐term network‐based monitoring of vegetation biomass, C fluxes, and SOC stocks.…”
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Dynamic energy consumption monitoring and scheduling for green buildings: A comprehensive approach by Hua Zheng, Pengming Wang

“…Long short-term memory (LSTM) neural networks are used to predict future energy consumption demand and provide data support for real-time scheduling. …”
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Complex Dynamics and Intelligent Control: Advances, Challenges, and Applications in Mining and Industrial Processes by Luis Rojas, Víctor Yepes, José Garcia

“…In sectors such as mining, manufacturing, and energy networks, even small perturbations can lead to unexpected system behaviors, operational inefficiencies, or cascading failures. …”
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling by Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li

“…This study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational complexity that stem from the utilization of large convolutional kernels. …”
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Changes in EEG Microstate Dynamics and Cognition Post‐Chemotherapy in People With Breast Cancer by S. Damji, S. Sattari, K. Zadravec, K. L. Campbell, J. Brunet, N. Virji‐Babul

“…ABSTRACT Objective Chemotherapy‐related cognitive changes following breast cancer are commonly reported; however, changes in brain dynamics of large‐scale neural networks remain unclear. …”
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Cooperation and Competition Among Automated Vehicles in Highway Merge Scenario—A Proof-of-Concept Study by Eugene Lee, Joonho Park, Kitae Jang, Eunjeong Ko, Zhibin Li, Jaehyun So

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Wireless Authentication Method Based on Near-Field Feature Fusion Network by QIU Jiefan, ZHOU Kezhong, ZHU Dongfu, ZHANG Jinhong, CHI Kaikai

“…Initially, in the dynamic feature extraction module, an Inception-based WiFi Convolutional Network (IWCN) was employed to capture multi-scale spatial features across subcarriers. …”
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