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  1. 221

    Multi-omics integrated analysis reveals the molecular mechanism of tail fat deposition differences in sheep with different tail types by Wannian Wang, Zhixv Pang, Siying Zhang, Pengkun Yang, Yangyang Pan, Liying Qiao, Kaijie Yang, Jianhua Liu, Ruizhen Wang, Wenzhong Liu

    Published 2025-05-01
    “…Abstract Background The accumulation of tail fat in sheep is a manifestation of adaptive evolution to the environment. Sheep with different tail types show significant differences in physiological functions and tail fat deposition. …”
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    An evolution model for urban rail transit hyper networks based on allometric growth relationship by Zehua Zhang, Ruining Wei, Shumin Feng, Lei Xu, Fan Yang, Hao Liu, Yiqiang Jiang

    Published 2025-08-01
    “…To address limitations of existing urban rail transit (URT) evolution models—including static selection mechanisms, inadequate adaptability across stages, and simplistic validation—this study proposes a dynamically optimized hypernetwork evolution model. …”
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    Therapeutic Optimization of <i>Pseudomonas aeruginosa</i> Phages: From Isolation to Directed Evolution by Sara Bolognini, Caterina Ferretti, Claudia Campobasso, Elisabetta Trovato, Magda Marchetti, Laura Rindi, Arianna Tavanti, Mariagrazia Di Luca

    Published 2025-06-01
    “…However, to improve the lytic efficacy of the phages on the clinical isolate, phage adaptation via serial passage was investigated. The killing efficacy of Nello was enhanced, whereas Moonstruck showed a less consistent improvement, suggesting phage-specific differences in evolutionary dynamics. …”
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    The diet–intestinal microbiota dynamics and adaptation in an elevational migration bird, the Himalayan bluetail (Tarsiger rufilatus) by Shangmingyu Zhang, Chuang Zhou, Zhehan Dong, Kaize Feng, Kexin Peng, Zhengyang Wang, Yong Jiang, Linyu Jin, Ping Zhang, Yongjie Wu

    Published 2024-07-01
    “…Understanding the co‐evolution of the host and gut microbiota is critical for elucidating the rapid adaptations of avian gut microbiota. …”
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    State information-driven surrogate-assisted differential evolution for computationally expensive constrained optimization problems by Zihua Zhu, Zan Yang, Zhiyong Liu, Liming Chen, Xiwen Cai

    Published 2025-06-01
    “…Abstract In this paper, a state information-driven surrogate-assisted differential evolution called SI-SADE is proposed for solving expensive constrained optimization problems, in which both the population state and adaptive search mechanism are respectively evaluated and designed based on the feasibility and state information. …”
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  12. 232

    Quantifying Evolution of Short and Long-Range Correlations in Chinese Narrative Texts across 2000 Years by Heng Chen, Haitao Liu

    Published 2018-01-01
    “…These indicate that word length correlation evolution possesses different self-adaptive mechanisms in terms of different scales of distances between words. …”
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  13. 233

    Reduced-Order Antisynchronization of Chaotic Systems via Adaptive Sliding Mode Control by Wafaa Jawaada, M. S. M. Noorani, M. Mossa Al-Sawalha, M. Abdul Majid

    Published 2013-01-01
    “…A novel reduced-order adaptive sliding mode controller is developed and experimented in this paper to antisynchronize two different chaotic systems with different order. …”
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    Study of Low-Level Wind Shear and Its Evolution Based on LIDAR and Aircraft Reports Identification by Jie DING, Lei ZHANG, Zeyong HU, Jiemin WANG, Kaijun ZHANG, Jiening LIANG, Yuan WANG, Zhida ZHANG, Lili XU, Jin WANG, Tao CAI

    Published 2023-10-01
    “…Low-level wind shear significantly impacts aviation safety and operational efficiency.Zhongchuan Airport, located in a mountainous inland region, experiences the influence of complex terrain and weather systems.Wind shear is frequently observed during the summer season.This study analyzes the spatial and temporal characteristics of low-level wind shear events at Zhongchuan Airport using aircraft reports spanning from 2009 to 2018.During the observation period from May 2016 to November 2017, a total of 18 low-level wind shear events were confirmed through aircraft verification.Two methods, namely the fixed and adaptive window methods, were compared to identify wind shear events using LIDAR data from the Windcube 400s-at instrument.The study also explored the continuous evolution and spatial characteristics of the three-dimensional wind shear structure.The results indicate that the frequency of low-level wind shear events has increased at a faster rate compared to the flight volume at Zhongchuan Airport over the past ten years.The peak months for low-level wind shear events at Zhongchuan Airport are April-July and August-October, influenced by local weather patterns.The peak months for low-level wind shear events at Zhongchuan Airport are April-July and August-October, influenced by local weather patterns.Wind shear induced by convective weather occurs in the weak or non-echo region surrounding the convective cloud, resulting from the convergence of updrafts and downdrafts outside the cloud, or the formation of a gust front following the downdraft's contact with the ground.The wind shear factor is correlated with the intensity of radar echoes.Compared to the fixed window method, the adaptive window method had a larger recognition range due to the different data sets included in the recognition window.Therefore, the adaptive window method was found to be more suitable for studying the three-dimensional evolution of wind shear structures.Therefore, the adaptive window method is better suited for studying the evolution of the three-dimensional wind shear structure.The wind shear in the vicinity of Zhongchuan Airport is characterized by a low spatial distribution, small horizontal scale, and short duration, primarily concentrated in the small-scale and γ mesoscale.In other words, the wind shear events occurred at relatively low altitudes, with horizontal scales mostly ranging between 1000~1500 m and 2000~2600 m, lasting less than 20 minutes.Furthermore, 40.5% of the wind shear events were attributed to the movement of the wind, primarily influenced by the background wind.The findings of this study contribute to a better understanding of the characteristics of wind shear, offering valuable insights for the identification, mechanisms, forecasting, and early warning of low-level wind shear events at Zhongchuan Airport.…”
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  16. 236

    History of antibiotic adaptation influences microbial evolutionary dynamics during subsequent treatment. by Phillip Yen, Jason A Papin

    Published 2017-08-01
    “…Antibiotic regimens often include the sequential changing of drugs to limit the development and evolution of resistance of bacterial pathogens. It remains unclear how history of adaptation to one antibiotic can influence the resistance profiles when bacteria subsequently adapt to a different antibiotic. …”
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  17. 237

    An Adaptive Network Model to Simulate Consensus Formation Driven by Social Identity Recognition by Kaiqi Zhang, Zinan Lv, Hai Feng Du, Honghui Zou

    Published 2020-01-01
    “…Specifically, the similarity threshold significantly affects the evolution of the network with different initial conditions, and thus there emerges obvious community structure and polarization. …”
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  18. 238

    Socio-hydrological frameworks for adaptive governance: addressing climate uncertainty in South Asia by Anjal Prakash, Ritwick George, Anamika Barua

    Published 2025-04-01
    “…In this context, this paper looks at modern socio-hydrology advances and what they suggest for creating resistance or insensitivity to climate evolution. By synthesizing numerous theoretical backgrounds, empirical works, and case analyses within the concept of socio-hydrology, this paper tries to show that the socio-hydrological approach can provide insights for decision-making and policy intervention for building resilience at different levels. …”
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  19. 239

    Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy by Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou, Yu Deng, Shuang Du, Mai Tu, Wei Fang, Xiaole Xia

    Published 2025-01-01
    “…Molecular mechanism analysis elucidates that the peak of adaptive evolution is reached through a structural response mechanism among variants. …”
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