MELGYM: A dynamic control interface for MELCOR simulations by Antonio Manjavacas, Juan Gómez-Romero, Damien Ernst, Manuel A. Vázquez-Barroso, Francisco Martín-Fuertes

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Impact of Microplastics on Ciprofloxacin Adsorption Dynamics and Mechanisms in Soil by Qian Xu, Hanbing Li, Sumei Li, Ziyi Li, Sha Chen, Yixuan Liang, Yuyang Li, Jianan Li, Mengxin Yuan

“…This work advances understanding of co-contaminant dynamics in soil ecosystems, informing risk assessment frameworks.…”
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Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

“…The study addresses the critical issue of accurately predicting ammonia nitrogen (NH₃-N) concentration in a sequencing batch reactor (SBR) system, achieving reduced consumption through automatic control technology. …”
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Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes by Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi, Ashesh Kumar Das, S. P.S. Kushwaha, R. P. Singh

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Dynamic interpretation of hedgehog signaling in the Drosophila wing disc. by Marcos Nahmad, Angelike Stathopoulos

“…Our results support a model in which Hh gradient dynamics, resulting from Ptc up-regulation, play an instructional role in the establishment of patterns of gene expression.…”
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BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways by Yunze Xie, Yiping Ma, Yiming Cheng, Zhiqian Li, Xiaoyu Liu

“…This research proposes a hybrid path planning framework for intelligent inland waterway Unmanned Surface Vehicles (USVs), which integrates the enhanced BIT* (Batch Informed Trees) algorithm with the TD3 (Twin Delayed Deep Deterministic Policy Gradient) deep reinforcement learning method. …”
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Engineered Microneedle System Enables the Smart Regulation of Nanodynamic Sterilization and Tissue Regeneration for Wound Management by Shiyang Lin, Zhongqi Cui, Qingqiong Luo, Chen Li, Yue Zhang, Fengjiao Yang, Yichuan Chen, Chuansheng Xu, Yan Gao, Shasha Zhao, Fenyong Sun, Dandan Shen, Qi Wu, Shuo Shi

“…As envisaged, the proposed MN patch provides a safe, easy, also highly effective approach to achieve the temporal regulation of sterilization and tissue regeneration for bacterial biofilm‐infected wounds.…”
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A Multi-Level Knowledge Distillation for Enhanced Crop Segmentation in Precision Agriculture by Zhiyong Li, Lan Xiang, Jun Sun, Dingyi Liao, Lijia Xu, Mantao Wang

“…Traditional single-level feature distillation methods often suffer from insufficient knowledge transfer and inefficient utilization of multi-scale features, which significantly limits their ability to accurately segment complex crop structures in dynamic field environments. To overcome these issues, we propose a multi-level distillation strategy that leverages feature and embedding patch distillation, combining high-level semantic features with low-level texture details for joint distillation. …”
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Spatiotemporal dynamics of rural settlement evolution in Guangdong Province, China by Li Jia, Zhuojun Liu, Yisen Li

“…Results show a continuous decline in settlement numbers, while patch areas exhibited a U-shaped trend of decreasing then increasing. …”
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Flow Heterogeneity Controls Dissolution Dynamics in Topologically Complex Rocks by Z. Kanavas, J. Jimenez‐Martinez, F. Miele, J. Nimmo, V. L. Morales

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Dynamic and efficient vehicular cloud management scheme with privacy protection by Min XIAO, Tao YAO, Yuanni LIU, Yonghong HUANG

“…The vehicular cloud (VC) formed by vehicles is used for localization processing and consumption of traffic sensing data to achieve timely intelligent traffic management.The vehicle cloud is highly dynamic, self-organizing and timely, in which the identity and location privacy of vehicle users need to be protected as this poses challenges to the vehicular cloud management.A dynamic and self-organizing vehicle cloud management scheme based on the asymmetric group key agreement protocol was designed, where the vehicle cloud is automatically formed through the self-organized group key agreement of vehicles.The group key was used to control the provision and access of vehicle cloud services, and the dynamic management of the vehicle cloud was implemented through group key update.The scheme used traceable one-time pseudonym technology to achieve anonymous authentication and conditional privacy protection of vehicle users, and the group key agreement stage only included one bilinear pair operation to achieve high efficiency.In addition, the key negotiation and update process used lightweight signatures, supporting batch verification, to achieve efficient message source authentication and integrity authentication.Then the security and efficiency of vehicle cloud communications in the self-organizing environment can be ensured.The dynamic key update mechanism of the key agreement protocol realized the dynamic joining or exiting of vehicles in the vehicle cloud, adapting to the dynamic characteristics of the vehicle cloud.Under the random oracle model and the difficult assumption of the inverse computational Diffie Hellman (ICDH) problem, it was proved that the asymmetric group key agreement scheme satisfied the selective-plaintext security.The security analysis shows that the scheme can protect the identity and location privacy of vehicle users, realize the legal tracking of malicious vehicles, and ensure the confidentiality, integrity and anti-counterfeiting of communications, as well as the forward security of vehicle cloud dynamic management.The performance comparison analysis shows that this scheme has certain advantages in communication and computing efficiency under the condition of the same function and security level.…”
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Study on Lacticaseibacillus casei TCS fermentation kinetic models and high-density culture strategy by Chen Chen, Tianyu Guo, Di Wu, Jingyan Shu, Ningwei Huang, Huaixiang Tian, Haiyan Yu, Chang Ge

“…Furthermore, by utilizing resin adsorption and fed-batch cultivation techniques, the production of lactic acid as a by-product was effectively minimized. …”
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Static and dynamic analysis of laminated composite plates with integrated piezoelectrics by Tran Ich Thinh, Le Kim Ngoc

“…The influence of stacking sequence of composite plates and position of piezoelectric layers and sensors/actuators patches on the response of the piezoelectric composite plates is evaluated.…”
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Generative learning for forecasting the dynamics of high-dimensional complex systems by Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos

“…In turn, Bayesian diffusion models, that map this low-dimensional manifold onto its corresponding high-dimensional space, operate on batches of physics correlated, time sequences of data and capture the statistics of the system dynamics. …”
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Spatiotemporal Dynamics of Vegetation on Yongxing Island and Their Relationship with Human Activities by Liu Hongxiao, Geng Shoubao, Pang Yujin, Ren Hai, Jian Shuguang, Zeng Zhen, Lu Hongfang

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Study on mechanical characteristics of cemented backfill under dynamic load by Beijing XIE, Xiaoxu LI, Tianyu LIANG, Mingjin CHEN, Siyu CHEN, Feiqi WU

“…The results show that the dynamic compressive strength of cemented backfill shows a good strain rate effect. …”
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Dynamics of the island mass effect – Part 1: Detecting the extent by G. Bourdin, L. Karp-Boss, L. Karp-Boss, F. Lombard, G. Gorsky, E. Boss

“…By integrating modeled surface currents with higher-temporal-resolution satellite observations, we dynamically track chlorophyll <span class="inline-formula"><i>a</i></span> enhancements associated with the IME and the advection of detached patches and filaments over distances exceeding 1000 km from their source. …”
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A Strain-Based Method to Estimate Rolling Tire Grounding Parameters and Vertical Force by Jintao Zhang, Zhecheng Jing, Haichao Zhou, Haoran Li, Guolin Wang

“…The tire grounding parameters are a crucial component of the vehicle dynamics control system; accurate acquisition of grounding parameters is important for improving traction, braking force, and handling stability during vehicle operation. …”
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Experimental beetle metapopulations respond positively to dynamic landscapes and reduced connectivity. by Byju N Govindan, Robert K Swihart

“…Constant resource levels, low connectivity and dynamic patches yielded greater levels of adult beetle abundance. …”
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stDyer enables spatial domain clustering with dynamic graph embedding by Ke Xu, Yu Xu, Zirui Wang, Xin Maizie Zhou, Lu Zhang

“…We introduce stDyer, an end-to-end deep learning framework for spatial domain clustering in SRT data. stDyer combines Gaussian Mixture Variational AutoEncoder with graph attention networks to learn embeddings and perform clustering. Its dynamic graphs adaptively link units based on Gaussian Mixture assignments, improving clustering and producing smoother domain boundaries. stDyer’s mini-batch strategy and multi-GPU support facilitate scalability to large datasets. …”
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