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  1. 9401

    Monitoring Coastal Water Turbidity Using Sentinel2—A Case Study in Los Angeles by Yuwei Kong, Karina Jimenez, Christine M. Lee, Sophia Winter, Jasmine Summers-Evans, Albert Cao, Massimiliano Menczer, Rachel Han, Cade Mills, Savannah McCarthy, Kierstin Blatzheim, Jennifer A. Jay

    Published 2025-01-01
    “…Machine learning models were assessed for predictive accuracy, with the random forest model achieving the highest performance (R<sup>2</sup> = 0.632), indicating its robustness in modeling complex turbidity patterns. Seasonal trends revealed higher turbidity during wet months, likely due to stormwater runoff from the Ballona Creek watershed. …”
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  2. 9402

    CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals by Rohini Dakulagi, Ravi Raushan, Soham Dutta, Mohammed Theeb Alosaimi, Miguel Villagomez-Galindo

    Published 2025-01-01
    “…By meticulously analyzing factor matrices derived from sensor data, the algorithm effectively decodes intricate spatiotemporal patterns within the received tensor, offering precise source estimation even in scenarios where the number and nature of the sources are unknown. …”
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  3. 9403

    Global research on sport tourism in commerce, management, tourism, and services : bibliometric analysis by Sri Rizki Handayani, Rizal Ahmad Fauzi, Amung Ma'mun, Vanessa Gaffar, Mustika Fitri, Farcham Mulloh, Wawan Junresti Daya, Harmaman Harmaman, Aldilla Yulia Wiellys Sutikno, Raisalam D. Angoy, Yovhandra Ockta, Rifqi Festiawan

    Published 2025-01-01
    “…The aim is to identify patterns in research development, explore emerging topics, and highlight research gaps, particularly the connection between sport tourism and sports events, as well as cultural preservation policies. …”
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  4. 9404

    Hippocampal Regulation of Postsynaptic Density Homer1 by Associative Learning by Nicholas E. Clifton, Darren Cameron, Simon Trent, Lucy H. Sykes, Kerrie L. Thomas, Jeremy Hall

    Published 2017-01-01
    “…Homer1a and Ania-3, but not long Homer1, were regulated by contextual fear learning or novelty detection, although their precise patterns of expression in hippocampal subregions were dependent on the isoform. …”
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  5. 9405

    Excellent mechanical properties of a novel double-diagonal reinforced mechanical metamaterial with tunable Poisson’s ratios inspired by deep-sea glass sponges by Hongbo Zhang, Yuan Li, Zhiqian Lin, Zhen Zhang, Dayong Hu, Zhenyu Yang

    Published 2025-02-01
    “…This innovation enabled the metamaterial to exhibit three distinct deformation patterns, facilitating a transition between negative, zero, and positive Poisson’s ratios, thereby achieving both high strength and sign-switchable Poisson’s ratio characteristics. …”
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  6. 9406

    Lifespan trajectories of motor control and neural oscillations: A systematic review of magnetoencephalography insights by Xinbi Zhang, Mingming Huang, Xiaoxia Yuan, Xiaoke Zhong, Shengyu Dai, Yingying Wang, Qiang Zhang, Kanya Wongwitwichote, Changhao Jiang

    Published 2025-04-01
    “…These developmental and degenerative patterns are linked to neural oscillatory activity, which can be assessed via magnetoencephalography (MEG) to gain insights into motor planning, execution, termination, and command initiation. …”
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  7. 9407

    PBVit: A Patch-Based Vision Transformer for Enhanced Brain Tumor Detection by Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma, Ahmad Raza Khan

    Published 2025-01-01
    “…PBVit enhances the detection of intricate patterns and anomalies in brain scans, improving diagnostic accuracy. …”
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  8. 9408

    Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework by Jiahua Sun, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Ronghui Li, Ronghui Li, Ronghui Li, Langtao Wu, Liang Cao, Liang Cao, Liang Cao, Liang Cao, Molin Sun, Molin Sun, Molin Sun

    Published 2025-01-01
    “…By employing a novel multi-scale loss function and a new similarity measure, the framework effectively learns ship patterns by minimizing sample distances within the same category and maximizing distances between samples of different categories. …”
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  9. 9409

    Agent-based risk analysis model for road transportation of dangerous goods by Hassan Kanj, Ajla Kulaglic, Wael Hosny Fouad Aly, Mutaz A.B. Al-Tarawneh, Khaled Safi, Sawsan Kanj, Jean-Marie Flaus

    Published 2025-03-01
    “…In this paper, a DGT risk assessment method has been proposed and modeled using a multi-agents system, where each agent possesses specific attributes, failure modes, and behavioral patterns. Furthermore, the modeled system is simulated using two approaches. …”
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  10. 9410

    Evaluating GEMS HCHO Retrievals With TROPOMI Product, Pandora Observations, and GEOS‐Chem Simulations by Weitao Fu, Lei Zhu, Hyeong‐Ahn Kwon, Rokjin J. Park, Gitaek T. Lee, Isabelle DeSmedt, Song Liu, Xicheng Li, Yuyang Chen, Dongchuan Pu, Juan Li, Xiaoxing Zuo, Peng Zhang, Yali Li, Zhuoxian Yan, Xue Zhang, Jiaming Zhang, Xingyi Wu, Huizhong Shen, Jianhuai Ye, Chen Wang, Tzung‐May Fu, Xin Yang

    Published 2025-01-01
    “…GEMS also captures the spatial patterns of fire emissions in GFED4s. GEMS HCHO shows negative bias when observing with a high (>60°) viewing zenith angle (VZA) and overly relies on model correction for observations to the north of 30°N.…”
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  11. 9411

    Degradation dynamics of Trifluralin in Qinghai-Tibet Plateau and screening of its degrading strains by Dong Zhao, Lei Wang, Shuo Shen, Enyu Lu, Junlong Feng, Nima Bai, Hongyu Chen, Wei Li

    Published 2025-01-01
    “…To investigate the degradation patterns and ecological benefits of FLL, this study established a comprehensive method for detecting FLL residues and selected efficient degrading bacterial strains. …”
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  12. 9412

    Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition by Andrés Pech-Pérez

    Published 2025-12-01
    “…Seismic data from KiK-net stations ISKH06 and ISKH04 are analyzed using deconvolution and empirical mode decomposition (EMD) to identify wave patterns possibly related to fluid flow and crack propagation. …”
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  13. 9413

    Digital Devices Use and Chinese-Canadian First Graders’ Early English Literacy Development: A Mixed-Methods Study by Guofang Li, Fubiao Zhen, Ziwen Mei

    Published 2025-01-01
    “…Hierarchical linear regression explored associations between digital devices use and early English literacy outcomes, while thematic analysis identified patterns from parental interviews. Results indicate a positive association between controlled television exposure and receptive vocabulary. …”
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  14. 9414

    Transcriptome Profile Analysis of Strawberry Leaves Reveals Flowering Regulation under Blue Light Treatment by Yuntian Ye, Yongqiang Liu, Xiaolong Li, Qing Chen, Yong Zhang, Ya Luo, Zejing Liu, Yan Wang, Yuanxiu Lin, Yunting Zhang, Xiaorong Wang, Haoru Tang

    Published 2021-01-01
    “…To detect the expression patterns of genes in response to BL, a transcriptome analysis was performed based on RNA-Seq. …”
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  15. 9415

    Fluid Retention over the Menstrual Cycle: 1-Year Data from the Prospective Ovulation Cohort by Colin P. White, Christine L. Hitchcock, Yvette M. Vigna, Jerilynn C. Prior

    Published 2011-01-01
    “…We report menstrual and mid-cycle patterns of self-reported “fluid retention” in 765 menstrual cycles in 62 healthy women. …”
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  16. 9416

    Increased nuclear expression of DNA damage inducible transcript 4 can serve as a potential prognostic biomarker in patients with gliomas: a study based on data mining and experimen... by Alireza Sadeghipour, Fahimeh Fattahi, Zahra Madjd, Fatemeh Tajik, Farnoosh Sedaghati, Leili Saeednejad Zanjani

    Published 2025-02-01
    “…Abstract Introduction DNA damage-inducible transcript 4 (DDIT4), induced under cellular stress conditions, has been implicated in malignancies due to its abnormal expression patterns. Materials and methods The expression of DDIT4 at the mRNA level and its potential role as a prognostic biomarker in gliomas were analyzed using the GEPIA tool. …”
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  17. 9417

    Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system by M. Nuthal Srinivasan, Mohamed Yacin Sikkandar, Maryam Alhashim, M. Chinnadurai

    Published 2025-01-01
    “…Addressing the shortcomings of traditional Machine Learning and Deep Learning models, our ESACN model utilizes the dynamic routing and spatial hierarchy capabilities of CapsNets to differentiate complex patterns such as those seen in monkeypox, chickenpox, measles, and normal skin presentations. …”
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  18. 9418

    Comparative Transcriptome Analyses of Resistant and Susceptible Near-Isogenic Wheat Lines following Inoculation with Blumeria graminis f. sp. tritici by Piyi Xing, Xueying Zhang, Yinguang Bao, Yuhai Wang, Honggang Wang, Xingfeng Li

    Published 2017-01-01
    “…Comparative transcriptome analysis also revealed that early-stage postinoculation is important and suitable time points to study expression profiles and signaling pathways of resistance-related genes following fungal inoculation. qRT-PCR analyses showed highly consistent expression patterns of genes with RNA-seq data. The results will aid in the identification of genes and signaling pathways involved in powdery mildew response in wheat.…”
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  19. 9419

    Step-necking growth of silicon nanowire channels for high performance field effect transistors by Lei Wu, Zhiyan Hu, Lei Liang, Ruijin Hu, Junzhuan Wang, Linwei Yu

    Published 2025-01-01
    “…Abstract Ultrathin silicon nanowires (diameter <30 nm) with strong electrostatic control are ideal quasi-1D channel materials for high-performance field effect transistors, while a short channel is desirable to enhance driving current. Typically, the patterning of such delicate channels relies on high-precision lithography, which is not applicable for large area electronics. …”
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  20. 9420

    Study on the Effect of Mineral Particle Sizes on the Spectral Characteristics of Sound and Vibrations in Rock Drilling by Zhantao Li, Sui Wang, Jicheng Wang, Chunxia Song, Bin Chen

    Published 2020-01-01
    “…The overall distribution trend in the frequency domain is conveniently observed, and the trend line patterns reflect the effect of aggregate sizes. The time-domain features of sound and vibration, such as the amplitude of sound pressure and vibration, are important indexes that roughly reflect grain sizes. …”
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