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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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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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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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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Investigating Community Dynamics and Performance During Microbial Electrochemical Degradation of Whey by Diana Y. Alvarez Esquivel, Yuting Guo, Robert K. Brown, Susann Müller, Uwe Schröder, Falk Harnisch

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Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization by Eugenia Gutiérrez, Marianela Noriega, Cecilia Fernández, Nadia Pantano, Leandro Rodriguez, Gustavo Scaglia

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Pig herd management and infection transmission dynamics: a challenge for modellers by Sicard, Vianney, Picault, Sébastien, Andraud, Mathieu

“…The control of epidemics requires a thorough understanding of the complex interactions between pathogen transmission, disease impact, and population dynamics and management. Mechanistic epidemiological modelling is an effective way to address this issue, but handling highly structured and dynamic systems, remains challenging. …”
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A Scalable Dynamic Cascade Flow Reactor for Challenging Continuous Heterogeneous Processes by Kim-Long Diep, Emilie Buchs, Marlies Moser, Finn L. Steinemann, Alain G. Georg, Flavien L. Morel, Michal Dabros, Roger Marti

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Multi-replica provable data possession scheme supporting data dynamic updating by Long CHEN, Yu-zhu LUO

“…Considering the application demand of multiple replicas data security and data dynamic update,a multi-replica provable data possession scheme was proposed to supporting data dynamic updating.The original data file can be dynamically updated using dynamic verification structure.The other multiple-replica data files are just append with a log-record for each dynamic update operation.The multi-replica files support public auditability and batch verification.If the original data or any replica is corrupted or missing,it can be recovered to the latest status with another copy.The performances of the communication and storage as well as the security are analyzed.The results show that the scheme is efficient and secure.…”
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Dynamic change of microbial community structure of activated sludge influenced by oxytetracycline in wastewater by TANG Lu, NIU Chengzhen, LYU Zhenmei

“…All reactors were discharged of effluent every two days and then supplied with a new batch of artificial wastewater. The performance of each reactor was determined by measuring pH, total nitrogen (TN) removal rate and concentration of chemical oxygen demand (COD) in the effluent. …”
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A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments by Junchi Zhang, Yanning Xian, Xun Zhu, Hongtao Deng

“…Then, the deep learning-enhanced RRT algorithm combines the neural module with the informed sampling methods for adaptive and efficient pathfinding in dynamic environments. After carefully considering the trade-offs among path optimality, computational efficiency, and fewer turning angles, our approach exhibits superior overall performance compared to Informed RRT*, Batch Informed Trees (BIT*) algorithms, and the state-of-the-art Layered RQN.…”
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Study on the dynamics of phosphorus adsorption and the risk of release in black soils by conservation tillage by Ying Wang, Ziao Zhao, Jingbo Wang, Shan Jiang, Xiulan Ma, Laibin Gao, Huiqing Liu

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Dynamics of methicillin-resistant staphylococcus aureus prevalence among patients of the Chernivtsi region by O. O. Blinder, O. V. Blinder, D. V. Rotar, A. V. Humenna

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Temporal dynamics of antimicrobial resistance gene abundances in chicken manure and anaerobic digestate by Aleksandra Atanasova, Thomas Amon, Thomas Amon, Uwe Roesler, Anika Friese, Roswitha Merle, Tina Kabelitz

“…However, manure ARG content increased with the age of the chickens. In our experimental batch setup, AD was more effective in reducing AMR microorganisms than reducing ARGs. …”
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Approach to deep Web data acquiring based on circular strategy and dynamic knowledge by Xue-feng XIAN, Zhi-ming CUI, Peng-peng ZHAO, Yin-hong LIANG, Li-gang FANG

“…Concerning on the acquisition problems on deep Web data integration such as high cost and low efficiency of query selecting,a novel deep Web data acquiring method was proposed based on circular strategy and dynamic knowledge.According to the relationship between deep Web data sources from the same domain,the circulation strategic acquisition of data source in batches was applied in such method,as well as a designed method of query selecting on dynamic knowledge based on integrated systematic.Compared with current,the method reduces the acquisition cost and with more accuracy.Experimental results show that the method can raise the acquisition efficiency of deep Web data integration.…”
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DIA-TSK: A Dynamic Incremental Adaptive Takagi–Sugeno–Kang Fuzzy Classifier by Hao Chen, Chenhui Sha, Mingqing Jiao, Changbin Shao, Shang Gao, Hualong Yu, Bin Qin

“…To solve these issues, this study proposes a novel training method consisting of a single dynamic classifier—named the dynamic incremental adaptive Takagi–Sugeno–Kang fuzzy classifier (DIA-TSK)—which leverages the superior non-linear modeling capabilities and interpretability of the TSK fuzzy system. …”
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Developing Quorum Sensing‐Based Collaborative Dynamic Control System in Halomonas TD01 by Yi‐Na Lin, Yu‐Xi Li, Ye Zheng, Yi‐Hao Deng, Kai‐Xuan Liu, Yue Gan, Hao Li, Jun Wang, Jia‐Wen Peng, Rui‐Zhe Deng, Huai‐Ming Wang, Hui Wang, Jian‐Wen Ye

“…Effective gene expression control with over 15‐time dynamic foldchange is achieved by mixing cells A and B at different ratios and time points in a lab‐scale fed‐batch study. …”
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Real-Time Electric Taxi Guidance for Battery Swapping Stations Under Dynamic Demand by Yu Feng, Xiaochun Lu, Xiaohui Huang, Jie Ma

“…The second is a delayed optimization framework that performs batch scheduling under high demand. It integrates a genetic algorithm with KD-tree search to handle dynamic demand insertion. …”
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