Host-Associated Biofilms: <i>Vibrio fischeri</i> and Other Symbiotic Bacteria Within the Vibrionaceae by Joaquin Lucero, Michele K. Nishiguchi

“…This review examines the mechanisms of biofilm formation in <i>Vibrio</i> species, focusing on quorum sensing, cyclic-di-GMP signaling, and host-specific adaptations that influence biofilm structure and function. …”
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Exponential Stability of Stochastic Differential Equation with Mixed Delay by Wenli Zhu, Jiexiang Huang, Xinfeng Ruan, Zhao Zhao

“…Some sufficient conditions of exponential stability and corollaries for such systems are obtained by using Lyapunov function. By utilizing Doob’s martingale inequality and Borel-Cantelli lemma, it is shown that the exponentially stable in the mean square of such systems implies the almost surely exponentially stable. …”
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Transcriptomic profiling reveals SARS-CoV-2-infected humanized MHC mice recapitulate human post vaccination immune responses by Siyue Li, Siyue Li, Xuelian Han, Ruolan Hu, Ruolan Hu, Keyu Sun, Min Li, Yuan Wang, Guangyu Zhao, Mengzhe Li, Huahao Fan, Huahao Fan, Huahao Fan, Huahao Fan, Qi Yin

“…While humanized major histocompatibility complex (hMHC) murine models have been extensively utilized in oncological research, their application in virological studies-particularly for coronavirus pathogenesis-remains underexplored. …”
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Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams by Ocheme Anthony Ekle, William Eberle

“…To design a model capable of adapting to dynamic changes, we introduce an approach that utilizes a modified dynamic "PageRank-with-Decay" as a node scoring function. …”
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OpenFlow-Based Mobility Management Scheme and Data Structure for the Mobility Service at Software Defined Networking by Pill-Won Park, Seong-Mun Kim, Sung-Gi Min

“…The network-based mobility management is adapted to the OpenFlow architecture for mobility service at Software Defined Networking (SDN), and data structure for mobility service is proposed. …”
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An Extenics-TRIZ integrated RFPS model for different object of design requirements. by Fangzhi Gui, Jing Zhou, Xiangdong Sun, Jianfei Lu, Sheng Cao

“…Here, the requirement flexibility refers to the ability of a design object to adapt its design levels. There are two design strategies: the extension analysis methods are utilized to map the top-level requirements to functions, principles, and structures requirements, and then the TRIZ is used to handle the design problems according to the objects on different levels. …”
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Cloud computing virtualization technology based on bandwidth resource-aware migration algorithm by Jin Zhiwei

“…To solve this problem, cloud computing adopts virtualization technology and refers to virtual network function migration to improve network adaptability. …”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Employing meta-heuristic methods as the main innovation in this research not only optimizes machine learning model settings but also mitigates the impact of noise, outliers, and ineffective inputs, thereby enhancing the final output quality. Utilizing an innovative fitness function in model optimization enhances prediction accuracy and adaptability to real photovoltaic power plant environments. …”
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Genomic signatures of SnRKs highlighted conserved evolution within orchids and stress responses through ABA signaling in the Cymbidium ensifolium by Ruiyue Zheng, Kai Zhao, Jiemin Chen, Xuanyi Zhu, Yukun Peng, Mingli Shen, Zhong-Jian Liu, Donghui Peng, Yuzhen Zhou

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MPC-Based Arctan Droop Control Strategy of the Parallel Inverter System in an Islanded AC Microgrid by J. D. D. Iyakaremye, G. N. Nyakoe, C. W. Wekesa

“…Distributed generations (DG) are one of the upcoming technologies recently used by many electric utilities in all corners of the world. Most of those DG form the microgrid (MG) to serve local loads and can be connected to the grid. …”
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Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models by CAI Yiran, HU Zhengyin, LIU Chunjiang

“…Methodologically, this research introduces dynamic prompt learning frameworks and domain adaptation fine-tuning technologies to address the shortcomings of traditional rule-driven approaches. …”
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Research on Quantitative Analysis Method of Infrared Spectroscopy for Coal Mine Gases by Feng Zhang, Yuchen Zhu, Lin Li, Suping Zhao, Xiaoyan Zhang, Chaobo Chen

“…This paper aims to perform a quantitative analysis of coal mine gases by FTIR. It utilized the adaptive smoothness parameter penalized least squares method to correct the drifted spectra. …”
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An Affordable AI-Driven and 3D-Printed Personalized Myoelectric Prosthesis: Design, Development, and Assessment by Enzo Romero, Jose G. Garcia, Magno Parra, Sebastian Caballa, Alejandro M. Saldarriaga, Edson F. Luque, Dante J. Rodriguez, Victoria E. Abarca, Dante A. Elias

“…Conventional myoelectric prostheses, while offering functional restoration, have limited adaptability and high cost. …”
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Augmenting insights into heat transfer performance of direct-contact evaporator: An interpretable data-driven hybrid strategy by Yinzhen Tan, Bo Yu, Jianxin Pan, Wuliang Yin, Min Wang, Hua Wang, Kai Yang, Qingtai Xiao

“…Then, the steam flow rate was decomposed into a series of intrinsic mode functions by intrinsic computing expressive empirical mode decomposition with adaptive noise (ICEEMDAN) and the intrinsic mode functions were divided into high-complexity and low-complexity components by fuzzy entropy (FE). …”
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Multi-Level Thresholding Based on Composite Local Contour Shannon Entropy Under Multiscale Multiplication Transform by Xianzhao Li, Yaobin Zou

“…This paper proposes a Shannon entropy-based multi-level thresholding method that utilizes composite contours. The method selects appropriate multiscale multiplication images by maximizing the Shannon entropy difference and constructs a new Shannon entropy objective function by dynamically combining contour images. …”
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Nyantri Jaman Now :Manifestation of Indonesian Santri Identity in the Digital Era by Puri Septiana Nursetiyawati, Arizal Mutahir, Laila Sabrina

“…The purpose of this research is to understand the function of nyantri as a means of preserving and shaping personal and social identity amidst the currents of globalization and the development of digital technology. …”
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Efficient Strategy Mining for Football Social Network by Taige Zhao, Ningning Cui, Yunliang Chen, Man Li

“…However, most of the existing works utilize a simplex strategy to improve certain indicators in the team and do not consider the effect of strategy adjustment based on the current situation. …”
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Design Optimization of Parameters for Resolver Software Decoding Based on Surrogate Model Management by DENG Yu, LING Yuelun, WU Zuolai, PENG Zaiwu, WANG Jun

“…Next, a surrogate model was constructed for the software decoding system, using the Latin hypercube design (LHD) method and based on a radial basis function. Finally, a genetic algorithm (GA) was utilized to optimize parameters in the resolver software decoding system through a solving process, and a partial encryption method was introduced to iteratively update the surrogate model, yielding a partially optimal solution that meets the error requirements. …”
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Research on construction of space-terrestrial integrated network based on standard space optical transport network protocol by DENG Wei, LI Yunbo, ZHANG Jianyin, LIU Liang

“…In view of the characteristics of high-speed satellite movement, frequent inter satellite link switching, and limited on-board resources, a new frame structure and reliable transmission protocol adapted to the space optical transport network were proposed to support the interconnection and communication of multiple constellations, and improve the efficiency of network resource utilization while ensuring accurate and reliable data transmission. …”
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Edge Cloud Resource Scheduling with Deep Reinforcement Learning by Y. Feng, M. Li, J. Li, Y. Yu

“…Furthermore, we enhance the Proximal Policy Optimization (PPO) algorithm to improve adaptability, increase the accuracy of likelihood ratio estimation, identify a more suitable activation function, and impose constraints on gradient updates. …”
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