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  1. 461

    Water Quality Analysis on Tertiary Channels Using Macroinvertebrate In Songka Sub-District, Palopo City by Abdul Rais, Aminudin Afandhi, Budi Prasetya

    Published 2019-01-01
    “…PH value was relatively normal with the range of 6.3 to 6.8, temperature was in the range of 27.1°C to 28°C, the rise in temperature value was influenced by tree shade and the intensity of sunlight.…”
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    Article
  2. 462

    Recent centennial drought on the Tibetan Plateau is outstanding within the past 3500 years by Yu Liu, Huiming Song, Zhisheng An, Qiang Li, Steven W. Leavitt, Ulf Büntgen, Qiufang Cai, Ruoshi Liu, Congxi Fang, Changfeng Sun, Kerstin Treydte, Meng Ren, Lidong Mo, Yi Song, Wenju Cai, Quan Zhang, Weijian Zhou, Achim Bräuning, Jussi Grießinger, Deliang Chen, Hans W. Linderholm, Ashish Sinha, Hai Cheng, Lu Wang, Ying Lei, Junyan Sun, Wei Gong, Xuxiang Li, Linlin Cui, Liang Ning, Lingfeng Wan, Thomas W. Crowther, Constantin M. Zohner

    Published 2025-02-01
    “…The Tibetan Plateau, the Earth’s largest and highest plateau, is a nexus for global atmospheric processes, significantly influencing East Asian hydroclimate dynamics through the synergy of the Asian Monsoon and the Westerlies. …”
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  3. 463

    Current velocity, water quality, and benthic taxa as predictors for coral recruitment rates on the Great Barrier Reef. by Matilde A Drake, Sam H C Noonan, Mariana Alvarez-Noriega, Ahmad R Rashid, Katharina E Fabricius

    Published 2025-01-01
    “…Our results highlight the strong role of current velocity and water quality as regulators of coral recruitment success, likely influencing the capacity of reef sites to recover after a disturbance.…”
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    Article
  4. 464

    Determination of the actual accuracy of GNSS positioning using a total station for monitoring landslide processes by V.V. Korobiichuk, D.V. Mitchenko

    Published 2025-07-01
    “…The study considers the main factors influencing GNSS measurement accuracy, including geodetic conditions, types of receivers used, presence of obstructions, and software characteristics. …”
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    Article
  5. 465

    Characteristics and Associated Factors of Insomnia Among the General Population in the Post-Pandemic Era of COVID-19 in Zhejiang, China: A Cross-Sectional Study by Da M, Mou S, Hou G, Shen Z

    Published 2025-01-01
    “…Questionnaires were administered at two-time points (T1: March 1– 31, 2022; T2: March 1– 31, 2023), which included an Insomnia Severity Index (ISI) and questions related to sleep risk factors, including the COVID-19 pandemic, familial influences, work and study conditions, social activities, physical health, use of electronic devices before sleep, sleep environment, food intake and exercise before sleep, etc. …”
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  6. 466

    The correlation between airborne pollen and asthma in children: a systematic review and meta-analysis by Xiaoya Wang, Bo Liu, Yujie Yang, Jimin Li, Ziyan Tian, Jinwei He, Yuanxia Li

    Published 2025-06-01
    “…Seasonal and geographic pollen variations, influenced by climate change, may affect asthma patterns. …”
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    Article
  7. 467

    Detecting emotional disorder with eye movement features in sports watching by Wei Qiang, Wei Qiang, Lin Yang, Xucheng Zhang, Na Liu, Yanyong Wang, Jipeng Zhang, Yixin Long, Weiwei Xu, Wei Sun

    Published 2025-04-01
    “…Additionally, participant preferences for video content significantly influenced diagnostic performance. We propose that future in-home, long-term monitoring of psychological conditions can leverage interactions with daily digital devices, integrating behavioral analysis seamlessly into everyday life.…”
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  8. 468

    Investigating Abiotic Sources of Spectral Variability From Multitemporal Hyperspectral Airborne Acquisitions Over the French Guyana Canopy by Colin Prieur, Antony Laybros, Giovanni Frati, Daniel Schlapfer, Jocelyn Chanussot, Gregoire Vincent

    Published 2024-01-01
    “…However, spectral fluctuations, influenced by intrinsic and environmental factors, such as the heterogeneity of individual crown properties and atmospheric conditions, pose challenges for large-scale mapping. …”
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  9. 469

    Contributions of participatory forest management for sustainable livelihoods and forest conservation in Ethiopia by Zemenu Woldie, Asmamaw Alemu, Habitamu Taddese, Ewunetu Tazebew

    Published 2025-08-01
    “…Among these, 39 studies assess the impacts of PFM on forest conservation, livelihood improvements, and factors influencing its success, while the remaining six focus on other aspects of PFM. …”
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    Article
  10. 470

    Prediction models for scour depth around circular compound bridge piers by Siva Krishna Reddy, Venu Chandra

    Published 2025-09-01
    “…In addition, regression, artificial neural network (ANN), and M5 model tree models were developed using experimental data from this and previous studies. …”
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    Article
  11. 471

    <i>Quercus cerris</i> Leaf Functional Traits to Assess Urban Forest Health Status for Expeditious Analysis in a Mediterranean European Context by Luca Quaranta, Piera Di Marzio, Paola Fortini

    Published 2025-01-01
    “…Our findings underscore the high adaptability of <i>Q. cerris</i> to varied climatic and environmental conditions. This study provides a practical method for rapidly assessing the responses of tree species to climate change. …”
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    Article
  12. 472

    Meta‐Analysis of Urban Non‐Point Source Pollution From Road and Roof Runoff Across China by Yongxin Wang, Chunlin Li, Jianmin Qiao, Yuanman Hu, Qian Zhang, Jiabo Yin, Louise Slater

    Published 2025-03-01
    “…There were significant geographical differences in urban NPS pollution due to the influences of air quality (35% relative contribution), climate conditions (15%), and human activities (45%). …”
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    Article
  13. 473

    Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

    Published 2025-01-01
    “…Based on traffic accident data, this study comprehensively considers various influencing factors such as the geographical location, road conditions, and environment. …”
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    Article
  14. 474

    Integrating Objective and Subjective Thermal Comfort Assessments in Urban Park Design: A Case Study of Monteria, Colombia by Jhoselin Rosso-Alvarez, Juan Jiménez-Caldera, Gabriel Campo-Daza, Richard Hernández-Sabié, Andrés Caballero-Calvo

    Published 2025-04-01
    “…In contrast, 90.91% of respondents stated that tree cover improved their thermal experience. The results indicate a strong correlation between vegetation density, surface type, and users’ perceived comfort. …”
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  15. 475

    Oral Fusobacterium nucleatum resists the acidic pH of the stomach due to membrane erucic acid synthesized via enoyl-CoA hydratase-related protein FnFabM by Xiaocong Li, Shipeng Zhang, Huafang Sheng, Yan Zhen, Buling Wu, Zhuang Li, Dingqiang Chen, Hongwei Zhou

    Published 2025-12-01
    “…The survival was significantly increased in the presence of erucic acid C22:1(n9) in cell membranes. Phylogenetic tree analysis revealed that C22:1(n9) synthesis was significantly associated with FnFabM gene expression in F. nucleatum at pH 1.5. …”
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  16. 476

    Building a composition-microstructure-performance model for C–V–Cr–Mo wear-resistant steel via the thermodynamic calculations and machine learning synergy by Shuaiwu Tong, Shuaijun Zhang, Chong Chen, Tao Jiang, Peng Li, Shizhong Wei

    Published 2025-05-01
    “…The results indicated that the relative content of vanadium (V), chromium (Cr), and carbon (C) directly influenced the content and distribution of carbides within the steel. …”
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    Article
  17. 477

    Regression Analysis of Heat Release Rate for Box-Type Power Bank Based on Experimental and Machine Learning Methods by Shihan Luo, Hua Chen, Xiaobing Mao, Wenbing Zhu, Yuanyi Xie, Wenbin Wei, Mengmeng Jiang, Chenyang Zhang, Chaozhe Jiang

    Published 2025-05-01
    “…This study uses experimental testing and machine learning regression analysis to explore the heat release rate (HRR) characteristics and influencing factors of box-type power banks under fire conditions. …”
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  18. 478

    Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach by Aji Kusumaning Asri, Hao-Ting Chang, Chia-Pin Yu, Wan-Yu Liu, Yinq-Rong Chern, Rui-Hao Xie, Shih-Chun Candice Lung, Kai Hsien Chi, Yu-Cheng Chen, Sen-Sung Cheng, Gary Adamkiewicz, John D. Spengler, Chih-Da Wu

    Published 2025-06-01
    “…This study investigated biogenic volatile organic compounds (BVOCs) emitted by tree species, with a specific focus on estimating their ambient air concentrations within the Xitou Nature Education Area, Taiwan. …”
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    Article
  19. 479

    Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach by Qiulin Li, Jinchao He, Dewei Mu, Hao Liu, Shicheng Li

    Published 2025-01-01
    “…Dissolved oxygen (DO) is a vital water quality index influencing biological processes in aquatic environments. …”
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    Article
  20. 480

    The Study on Landslide Hazards Based on Multi-Source Data and GMLCM Approach by Zhifang Zhao, Zhengyu Li, Penghui Lv, Fei Zhao, Lei Niu

    Published 2025-05-01
    “…The southwest region of China is characterized by numerous rugged mountains and valleys, which create favorable conditions for landslide disasters. The landslide-influencing factors show different sensitivities regionally, which induces the occurrence of disasters to different degrees, especially in small sample areas. …”
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    Article