Showing 7,441 - 7,460 results of 8,228 for search 'Linear sampling', query time: 0.17s Refine Results
  1. 7441

    Development of a one-step multiplex RT-qPCR method for rapid detection of bovine diarrhea viruses by Dequan Yang, Li Ma, Zhongping Yang, Xianchao Yang, Jian Wang, Houbin Ju, Chunguang Lu, Yonggang Weng, Heping Zhao, Haixiao Shen, Xin Li, Feifei Ge, Xiaoxu Wang, Xiujuan Wu, Meng Xiang, Guidan Feng, Congsheng Tang, Shixin Huang, Hongjin Zhao

    Published 2025-01-01
    “…Furthermore, the assay exhibited excellent reproducibility, with coefficients of variation below 1.5%, a strong linear correlation (R2 > 0.996), and an amplification efficiency between 90% and 110%. …”
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  2. 7442

    UAV-SfM Photogrammetry for Canopy Characterization Toward Unmanned Aerial Spraying Systems Precision Pesticide Application in an Orchard by Qi Bing, Ruirui Zhang, Linhuan Zhang, Longlong Li, Liping Chen

    Published 2025-02-01
    “…This study selected mango trees as the research sample and evaluated the differences between UAV aerial photography with a Structure from Motion (SfM) algorithm and airborne LiDAR in the results of extracting canopy parameters. …”
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  3. 7443

    Determination of chlorinated paraffins in PM2.5 by QuEChERS combined with ultra-high performance liquid chromatography-quadrupole/orbitrap high resolution mass spectrometry by Wenyan YAN, Chao WANG, Juan LIU, Yibin SUN, Wen GU, Yifu LU, Ke FANG, Yi WAN, Song TANG

    Published 2024-10-01
    “…Then internal standard was utilized to estimate linear range and detection limit of the refined QuEChERS approach. …”
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    Article
  4. 7444

    Differential expression of plasma extracellular vesicles microRNAs and exploration of their association with bone metabolism in childhood trauma participants treated in a psychosom... by Yangyang He, Yangyang He, Karin Wuertz-Kozak, Karin Wuertz-Kozak, Petra Cazzanelli, Sanne Houtenbos, Sanne Houtenbos, Francisco Garcia-Carrizo, Francisco Garcia-Carrizo, Tim J. Schulz, Tim J. Schulz, Tim J. Schulz, Pia-Maria Wippert, Pia-Maria Wippert

    Published 2025-02-01
    “…MiRNA target gene network prediction revealed highly associated target genes of dysregulated miRNAs, such as Trinucleotide Repeat Containing Adaptor 6B (TNRC6B), and enrichment analysis highlighted pathways including the forkhead box protein O (FoxO) signaling pathway.DiscussionsThis study explored the potential associations between childhood trauma and bone metabolism, due to the sample size and experimental group limitations, these associations should be validated in future experiments with larger sample sizes and different control group settings.…”
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  5. 7445
  6. 7446
  7. 7447

    Ether lipids and sphingolipids drive sex-specific human aging dynamics by Joaquim Sol, Anna Fernàndez-Bernal, Natalia Mota-Martorell, Meritxell Martín-Garí, Èlia Obis, Alba Juanes, Victoria Ayala, Jordi Mayneris-Perxachs, Rafel Ramos, Víctor Pineda, Josep Garre-Olmo, Manuel Portero-Otín, José Manuel Fernández-Real, Josep Puig, Mariona Jové, Reinald Pamplona

    Published 2025-09-01
    “…This study underscores the non-linear nature of lipid metabolism in aging and provides a foundation for identifying biomarkers and interventions to promote healthy aging.…”
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  8. 7448

    Microbiota and metabolite-based prediction tool for colonic polyposis with and without a known genetic driver by Bryson W. Katona, Ashutosh Shukla, Weiming Hu, Thomas Nyul, Christina Dudzik, Alex Arvanitis, Daniel Clay, Michaela Dungan, Marina Weber, Vincent Tu, Fuhua Hao, Shuheng Gan, Lillian Chau, Anna M. Buchner, Gary W. Falk, David L. Jaffe, Gregory Ginsberg, Suzette N. Palmer, Xiaowei Zhan, Andrew D. Patterson, Kyle Bittinger, Josephine Ni

    Published 2025-12-01
    “…Furthermore, we used these differential microbiota taxa to perform linear discriminant analysis to differentiate Gene-neg subjects from Gene-pos and from SPS subjects with an accuracy of 89% and 93% respectively. …”
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  9. 7449

    Urinary metals and phenols mixtures, oxidative stress, and heart rate variability: Association and mediation analyses by Min Xiang, Huihua Yang, Ziqian Zhang, Wenting Guo, Miao Liu, Chong Liu, Suli Huang, Xiaomin Zhang, Liangle Yang

    Published 2025-09-01
    “…The associations were estimated using linear mixed-effect models (LMEs), weighted quantile sum (WQS) regression, adaptive Least Absolute Shrinkage and Selection Operator (LASSO) and mediation analyses. …”
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  10. 7450
  11. 7451

    Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

    Published 2025-05-01
    “…Buildings are crucial to cities, and tomographic synthetic aperture radar (TomoSAR) is an important tool for monitoring the heights, linear deformations and thermal amplitudes of buildings. …”
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  12. 7452
  13. 7453

    GFR is a Key Determinant of Red Blood Cell Survival in Anemia Associated With Progressive CKD by Rosi Bissinger, Lina Schaefer, Bernhard N. Bohnert, Anja Schork, Sebastian Hoerber, Andreas Peter, Syed M. Qadri, Andreas L. Birkenfeld, Nils Heyne, Tamam Bakchoul, Thomas Wieder, Ferruh Artunc

    Published 2025-03-01
    “…Methods: In this cross-sectional cohort study, we describe the relationship between RBC death and anemia in all stages of NDD-CKD (n = 122). Blood samples from 133 healthy blood donors were additionally analyzed as controls. …”
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  14. 7454
  15. 7455
  16. 7456

    Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods by Longlin Jiang, Kexun Li, Simiao Lu, Zhou Hong, Yifang Wang, Qin Xie, Qin He, Sirui Wei, Aoru Zhou, Hong Kang, Xuefeng Leng, Qing Yang, Yan Miao

    Published 2025-07-01
    “…Traditional regression techniques, including Ordinary Least Squares regression, Generalized Linear Model, as well as machine learning techniques, such as Gradient Boosting Tree, Support Vector Regression, Ridge Regression are used. …”
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  17. 7457

    Mechanosynthesis and thermal bio–sensing of beryllium–based molecularly imprinted polymers by Ana I. Furtado, Joseph W. Lowdon, Kasper Eersels, Bart van Grinsven, Adriana Cruz, Jacinta Serpa, Vasco D.B. Bonifácio, Raquel Viveiros, Teresa Casimiro

    Published 2025-08-01
    “…The generated biosensor was found to have an optimal linear range of 0.30–0.93 mM and LoD of 0.16 mM (obtained by the 3σ method), while also being selective when comparing the thermal response to other analogues molecules (IFeffect-LEU = 1.6–1.8 vs. …”
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  18. 7458

    Changes in upper airway morphology and respiratory function of adolescent patients with mandibular retrognathism treated with clear aligner mandibular advancement: a prospective st... by Tianlu Jiang, Yizhe Qi, Yueying Zhang, Yusen Du, Qiuyue Wu, Hua Xiao, Kangping He, Jiajing Zheng, Zuolin Jin, Feifei Li

    Published 2025-07-01
    “…A three-dimensional model of the hyoid bone, soft palate, tongue, and upper airway was reconstructed using Dolphin 11.9 software. Multiple linear regression analyses were conducted to analyze the contribution of lateral and anteroposterior diameters to the volume and cross-sectional area of the airway. …”
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  19. 7459
  20. 7460

    Prevalence, incidence and modifiable factors for subtypes of mild cognitive impairment: results from the Longitudinal Ageing Study in China by Wei Chen, Yuanyuan Liu, Xulai Zhang, Juan Li, Ying Liu, ChenCheng Zhang, Shifu Xiao, Tao Wang, Yong Lu, Huali Wang, Yiru Fang, Yuping Wang, Feng Yan, Ning Su, Haining He, Yanchen Shi, Minjie Zhu, Muni Tang, Feng Bao, Yefeng Yuan, Xiaoyun Zuo, Lijuan Cui, Wenyuan Wu

    Published 2025-04-01
    “…In total, 3514 and 2051 individuals completed the baseline and 1-year follow-up assessments, respectively. Logistic and linear regression analyses were used to identify the modifiable factors for MCI subtypes and predictors of cognitive decline, respectively.Results Among our participants, aMCI and VCIND demonstrated prevalence of 14.83% and 2.71%, respectively, and annual incidence (per 1000 person-years) of 69.6 and 10.6, respectively. …”
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