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  1. 5041
  2. 5042

    Drone mapping links reindeer browsing during an herbivory pulse to divergent vegetation community responses by Marcus P Spiegel, Jeffrey T Kerby, Dorothée Ehrich, Alexander Volkovitskiy, Alexandra Terekhina, Violetta Filippova, Kirill Shklyar, Natalia Sokolova, Aleksandr A Sokolov, Marc Macias-Fauria

    Published 2025-01-01
    “…Here, we employed drone surveys to investigate drivers of spatial heterogeneity in vegetation responses to reindeer herbivory by mapping change comprehensively across a landscape at the fine scale inherent to plant-herbivore interactions. …”
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  3. 5043

    Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate by Li Zhuang, Awais Ali, Ling Yang, Zhaoyang Ye, Linsheng Li, Ruizi Ni, Yajing An, Syed Luqman Ali, Wenping Gong

    Published 2024-12-01
    “…Comprehensive bioinformatics analyses were conducted to evaluate the physicochemical properties, spatial structure, immunogenicity, molecular dynamics (MD), and immunological characteristics of the MEV. …”
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  4. 5044

    Experimental study on the influence of shale content in fault zone on fault friction coefficient based on circular shear test by Lingdong Meng, Dong Li, Xiaofei Fu, Yejun Jin, Zezhao Liu, Ziyang Li, Tong Zhang, Ruishan Du, Xiaoling Zhang

    Published 2025-03-01
    “…By integrating a 3D prediction model of clay content on fault surfaces, the spatial distribution of non-uniform friction coefficients across fault planes was determined. …”
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  5. 5045

    Developing Transferable Fourier Transform Mid-Infrared Spectroscopy Predictive Models for Buffalo Milk: A Spatio-Temporal Application Strategy Analysis Across Dairy Farms by Han Jiang, Peipei Wen, Yikai Fan, Yi Zhang, Chunfang Li, Chu Chu, Haitong Wang, Yue Zheng, Chendong Yang, Guie Jiang, Jianming Li, Junqing Ni, Shujun Zhang

    Published 2025-03-01
    “…In temporal dimensions, the TS model effectively predicted the samples collected in a contemporaneous period (RPD<sub>V</sub> (Relative Analytical Error of Validation Set) = 3.45). In the spatial dimension, at first, the modeling was conducted using the samples from one farm, and afterward, 30–70% of a sample from another farm was added to the debugging model. …”
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  6. 5046

    Aerosol particle number concentration, ultrafine particle number fraction, and new particle formation measurements near the international airports in Berlin, Germany – First result... by Simonas Kecorius, Susanne Sues, Leizel Madueño, Alfred Wiedensohler, Ulf Winkler, Andreas Held, Sabine Lüchtrath, David C. Beddows, Roy M. Harrison, Mario Lovric, Vanessa Soppa, Barbara Hoffmann, Miriam Wiese-Posselt, Andreas Kerschbaumer, Josef Cyrys

    Published 2024-11-01
    “…Here, we provide insights into the spatial–temporal variability of PNC measured in 16 schools recruited for Berlin-Brandenburg Air Study (BEAR).The results show that the average PNC in Berlin was 7900 ± 7000 cm−3, consistent with other European cities. …”
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  7. 5047

    3D printing-biomimetic local stiff niche enhances glycolysis to boost PDAC cell stem-like phenotype via N6-methyladenosine-suppressed YAP1 mRNA decay by Di Wu, Xiaoqi Guan, Tao Yang, Jiashuai Yan, Biwen Zhu, Junchao Zhou, Yibing Guo, Yuhua Lu

    Published 2025-10-01
    “…Bioinformatics, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, of CSCs identified from spatial transcriptomic and single-cell datasets of PDAC lesions exhibited activated mechanical and glycolytic pathways. …”
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  8. 5048

    South Asia anthropogenic ammonia emission inversion through assimilating IASI observations by J. Xia, Y. Zhou, L. Fang, Y. Qi, D. Li, H. Liao, J. Jin

    Published 2025-07-01
    “…We employ a newly developed four-dimensional ensemble variational (4DEnVar)-based emission inversion system to conduct the calculations, resulting in monthly ammonia emissions for 2019 at a resolution of 0.5° <span class="inline-formula">×</span> 0.625°. …”
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  9. 5049

    Winter Oilseed Rape LAI Inversion via Multi-Source UAV Fusion: A Three-Dimensional Texture and Machine Learning Approach by Zijun Tang, Junsheng Lu, Ahmed Elsayed Abdelghany, Penghai Su, Ming Jin, Siqi Li, Tao Sun, Youzhen Xiang, Zhijun Li, Fucang Zhang

    Published 2025-04-01
    “…Therefore, this study conducted field experiments over two consecutive years (2021–2022) to collect winter oilseed rape LAI ground truth data and corresponding UAV multispectral imagery. …”
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  10. 5050

    Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer by Hirotaka Matsumoto, Hiroaki Akamatsu, Nobuyuki Yamamoto, Yuki Sato, Daichi Fujimoto, Yoshihiko Taniguchi, Motohiro Tamiya, Yasuhiro Koh, Junya Fukuoka, Hisashi Tanaka, Naoki Furuya, Ryota Shibaki, Tsukasa Nozawa, Akira Sano, Yuka Kitamura, Takashi Kijima, Toshihide Yokoyama, Satoru Miura, Akito Hata, Jun Sugisaka

    Published 2024-02-01
    “…Hence, we aimed to develop a predictive biomarker of immunotherapy efficacy through a machine learning analysis of the TIME.Methods We conducted a biomarker analysis in a prospective study of patients with extensive-stage SCLC who received chemoimmunotherapy as the first-line treatment. …”
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  11. 5051
  12. 5052
  13. 5053

    DINOV2-FCS: a model for fruit leaf disease classification and severity prediction by Chunhui Bai, Chunhui Bai, Chunhui Bai, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Lin Peng, Lin Peng, Lin Peng, Peishan Li, Peishan Li, Peishan Li, Linnan Yang, Linnan Yang, Linnan Yang

    Published 2024-12-01
    “…For the problem that the model ignores the fine spots in the segmentation process, we propose Explicit Feature Fusion Architecture (EFFA) and Alterable Kernel Atrous Spatial Pyramid Pooling (AKASPP), which improve the segmentation effect of the model.ResultsTo verify the accuracy and generalizability of the model, two sets of experiments were conducted. …”
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  14. 5054

    Belonging: a meta-theme analysis of women’s community-making in group antenatal and postnatal care by Anna Horn, Marsha Orgill, Deborah L. Billings, Deborah L. Billings, Wiedaad Slemming, Astrid Van Damme, Mathilde Crone, Malibongwe Gwele, Nathalie Leister, Ashna D. Hindori-Mohangoo, Katrien Beeckman, Susan Bradley, Manodj P. Hindori, Jedidia Abanga, Julia Ryan, Hana Bucinca, Christine McCourt

    Published 2025-02-01
    “…Results from this analysis expose that women actively participate in community building in group care in three key ways: (1) Collective agreements, (2) Boundary setting and (3) Care Gestures, orchestrated via socio-spatial building embedded in key pillars of the model. …”
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  15. 5055

    Study of Multivariate Background Error Characteristics of Convective System on Plateau Slope and Typhoon System Based on Convective-Scale Ensemble Samples by Wanli ZHANG, Yuanbing WANG, Rou LI, Yaodeng CHEN, Deming MENG, Xinyao QIAN, Xili JIN

    Published 2025-06-01
    “…The effective assimilation of observation data in the slope areas of the Qinghai-Xizang (Tibetan) Plateau and typhoon systems has a significant impact on the capabilities of weather forecasting in China, with background error being a key factor affecting the performance of data assimilation.The purpose of this study is to gain a deeper understanding of the characteristics of background errors in conventional control variables and hydrometeor control variables within convective systems on the slopes of the Qinghai-Xizang (Tibetan) Plateau and typhoon systems, so as to develop the data assimilation scheme which is applicable to the convective systems on the slopes of the Qinghai-Xizang (Tibetan) Plateau and typhoon systems.This study employs the Ensemble Transform Kalman Filter (ETKF) and the hybrid Ensemble-Variational data assimilation method to update the ensemble perturbation and the ensemble mean respectively to produce convective-scale ensemble forecast samples with 80 ensemble members and 4-kilometers resolution.This study focuses on cases of convective weather from the northeast slope of the Qinghai-Xizang (Tibetan) Plateau in mid-August 2022 and Typhoon "Meihua", the 12th typhoon of 2022.Multivariate background error covariances, including those for multiphase hydrometeor and vertical velocity, were computed through physical transformation, vertical transformation, and horizontal transformation.Analyses of the spatial error characteristics, including the eigenvalues, eigenvectors, and characteristic length scales were conducted, and the results of the analyses indicate that background errors are more pronounced in the case of convective system on the slope of the Qinghai-Xizang (Tibetan) Plateau in comparison to the typhoon system.At the same time, the simulation of hydrometeor variables and vertical velocity is less precise in the case of convective system on the slope of the Qinghai-Xizang (Tibetan) Plateau compared to the typhoon system.In the context of data assimilation for these comparable convective systems, the analysis tends to be more aligned with observations and less so with the background, this feature highlights the necessity for high-quality and comprehensive observations in the slope areas of the Qinghai-Xizang (Tibetan) Plateau.In addition, the atmospheric characteristics and the horizontal scale of hydrometeor variables and vertical velocity in the case of convective system on the slope of the Qinghai-Xizang (Tibetan) Plateau display smaller and more localized features compared with those observed in the typhoon system.Moreover, hydrometeor control variables and the vertical velocity exhibit smaller horizontal scales and more pronounced localized characteristics compared to conventional control variables, therefore potentially leading to the influence range of observations and information related to hydrometeor control variables in the slope areas of the Qinghai-Xizang (Tibetan) Plateau relatively limited in the context of the subsequent assimilation analysis.…”
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  16. 5056
  17. 5057

    Dog demography and ecology with reference to rabies in the Amhara region, Ethiopia by Liuel Yizengaw Adnie, Wudu Temesgen Jemberu, Adane Bahiru Woreta, Adugna Berju, Araya Mengistu, Zeleke Tesema Wondie, Wassie Molla, Sefinew Alemu Mekonnen

    Published 2025-01-01
    “…Knowledge of domestic dog ecology and demography has been recognized as central to the design of an effective rabies control program. The study was conducted to assess owned dogs' ecology and demography and to identify predictors associated with dog ownership and rabies occurrence in the Amhara region, Ethiopia. …”
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  18. 5058

    Community knowledge, attitude, and practice, incidence of suspected cases, and epidemiological distribution of rabies in humans and animals in Southwest Shewa zone, Oromia, Ethiopi... by Tegegn Dilbato Dinbiso, Abebe Tibebu Mekonnen, Tolesa Negasa Olana, Gudina Mekonnen Ayana, Kebede Abdisa Kelbesa, Hana Dejene Deso, Segni Bedasa Gudina, Moges Kidane Biru, Moges Kidane Biru, Mulatu Ayana Hordofa, Mekonnen Sorsa Berecha

    Published 2025-04-01
    “…Despite its importance in public health, no systematic study has been conducted in the area. Therefore, this study aimed to assess the knowledge, attitude, and practice and to estimate the incidence and spatial distribution of rabies in humans and animals in the Southwest Shewa zone of Oromia, Ethiopia.MethodsA questionnaire-based cross-sectional and retrospective study designs were employed among 422 randomly selected informants potentially at risk of rabies. …”
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  19. 5059
  20. 5060

    In situ estimation of active dispersal abilities in reef fish early life stages using tracking technologies by Eliot Ruiz, Pierre‐Yves Pascal, Lucie Vanalderweireldt, Sébastien Cordonnier, Amélia Chatagnon, Pierre‐Louis Rault, Séverine Albouy‐Boyer, Juliette Silhol, Raphaël Thomas, Charlotte R. Dromard, Loïc Pellissier, Thomas Le Berre, Jacques Panfili, Camille Albouy, Fabien Leprieur

    Published 2025-04-01
    “…Although biophysical models of dispersal ease the development of informed conservation strategies at large spatial scales, comparisons with genetic connectivity demonstrate that only models incorporating realistic active behaviors yield comparable outputs. …”
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