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  1. 181

    Temporal and spatial variations in the effect-based ecotoxicological assessment of streams by Delia Hof, Thomas Bing, Sebastian Heß, Jens Mayer, Jörg Oehlmann, Matthias Oetken

    Published 2024-09-01
    “…Abstract Background Water bodies are affected by chemical contamination, including micropollutants, which is not fully captured by conventional chemical monitoring methods. The inclusion of integrative, effect-based in vivo and in vitro methods in standardized assessment procedures offers the possibility of bridging discrepancies between chemical and biological assessments and has already been proposed in several studies. …”
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  2. 182

    Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Musab Hamed Saeed, Carlos M. Ardila

    Published 2025-02-01
    “…Advances in generative AI techniques, such as variational autoencoders (VAEs) and quantum variational classifiers (QVCs), offer promising tools for predicting gene associations between drugs and diseases. …”
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  3. 183

    Free vibration of beams using stochastic finite element method considering three-dimensional randomness of material properties by Diem Dang Nguyen, Hien Duy Ta

    Published 2025-05-01
    “…The random material fields are discretized into random variables using the weighted integral method combined with the perturbation technique to obtain a first-order approximation of the eigenvalues of free vibration. …”
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  4. 184

    Building and Visualising Ordinations of Shape Data in R With Morphospace by Pablo S. Milla Carmona, Oscar E. R. Lehmann, William J. Deakin, Eduardo M. Soto, Ignacio M. Soto

    Published 2025-06-01
    “…ABSTRACT Ordination is a critical step of geometric morphometrics that allows simplification of high‐dimensional shape spaces into low‐dimensional representations summarising shape variation. While this is routinely used to visualise the main patterns of morphometric data, the lack of a unified approach curbs researchers' ability to make the most of available ordination and visualisation methods. …”
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  5. 185
  6. 186

    Feasibility of implementing family-integrated newborn care for hospitalised preterm and low birthweight infants in newborn care units of Ethiopia: a mixed-methods design by Hege Langli Ersdal, Araya Abrha Medhanyie, Damen Haile Mariam, Siren Rettedal, Znabu Hadush Kahsay

    Published 2025-01-01
    “…Objective To evaluate the feasibility of implementing family-integrated newborn care (FINC) for hospitalised preterm and low birthweight infants in Ethiopia. …”
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  7. 187

    Innovative Solutions to the Fractional Diffusion Equation Using the Elzaki Transform by Saima Noor, Albandari W. Alrowaily, Mohammad Alqudah, Rasool Shah, Samir A. El-Tantawy

    Published 2024-09-01
    “…Thus, by utilizing the mighty powers of fractional calculus, we employ the variational iteration method (VIM) with the Elzaki transform to produce highly accurate approximations for these specific differential equations. …”
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  8. 188
  9. 189

    A Noise Reduction Method for Signal Reconstruction and Error Compensation of a Maglev Gyroscope Under Persistent External Interference by Di Liu, Zhen Shi, Ziyi Yang, Chenxi Zou

    Published 2024-12-01
    “…To eliminate the noise interference caused by continuous external environmental disturbances on the rotor signals of a maglev gyroscope, this study proposes a noise reduction method that integrates an adaptive particle swarm optimization variational modal decomposition algorithm with a strategy for error compensation of the trend term in reconstructed signals, significantly improving the azimuth measurement accuracy of the gyroscope torque sensor. …”
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  10. 190
  11. 191

    A Multi-Frequency Iterative Method for Reconstruction of Rough Surfaces Separating Two Penetrable Media by Ahmet Sefer, Ali Yapar, Hakan Bagci

    Published 2024-01-01
    “…This linear system is regularized using the Tikhonov method. The multi-frequency data is accounted for in a recursive manner. …”
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  14. 194

    Effects of an integrated social-art intervention on cognitive and psychosocial outcomes among older adults with mild cognitive impairment in nursing homes: a mixed methods study by Chenshan Huang, Yuanjiao Yan, Wilson Wai San Tam, Wenqian Sun, Yu Ye, Nafang Wang, Yanhong Shi, Ziping Zhu, Danting Chen, Lin Chen, Junyu Zhao, Rong Lin, Hong Li

    Published 2025-05-01
    “…This study aimed to evaluate the effects of such an intervention on cognitive and psychosocial outcomes in older adults with MCI. Methods An explanatory sequential mixed-methods study was conducted, comprising a cluster randomized controlled trial (RCT) and a descriptive qualitative study. …”
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  15. 195

    Spatial variation and associated genes of total hair follicle density in goats by Jipan Zhang, Ziyi Chen, Siyuan Zhang, Guoqiu Li, Xingqiang Fang, Yongju Zhao

    Published 2025-07-01
    “…Conclusion This study thoroughly characterized the spatial variation of THFD at the local-site, body-side, and whole-body levels in order to gain a better understanding of genetic characterization, associated genes and spatial variation. …”
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  16. 196
  17. 197

    The landscape of nucleotide diversity in Drosophila melanogaster is shaped by mutation rate variation by Barroso, Gustavo V, Dutheil, Julien Y

    Published 2023-04-01
    “…Here we present a new statistical method that jointly infers the genomic landscapes of genealogies, recombination rates and mutation rates. …”
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  18. 198

    Evaluating Ecological Vulnerability and Its Driving Mechanisms in the Dongting Lake Region from a Multi-Method Integrated Perspective: Based on Geodetector and Explainable Machine... by Fuchao Li, Tian Nan, Huang Zhang, Kun Luo, Kui Xiang, Yi Peng

    Published 2025-07-01
    “…This study proposes a multi-method integrated decision support framework for assessing ecological vulnerability in lake wetland ecosystems.…”
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    Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation by Daniel Alcalde Puente, Matteo Rizzi

    Published 2025-07-01
    “…These results indicate that integrating measurement and feedback into variational quantum algorithms provides a promising framework for quantum state preparation.…”
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