Showing 61 - 80 results of 10,285 for search 'experience sampling (method OR methods)', query time: 0.09s Refine Results
  1. 61

    Experiences of Palestinian patients with hospital services: a mixed-methods study by Mahmoud Radwan, Sahar Hassan, Adel Takruri, Carol El Jabari, Inad Nawajah

    Published 2023-06-01
    “…Background This study aimed at assessing patient experiences with hospital services and key factors associated with better experiences.Methods The study design is cross-sectional supported by qualitative interviews. …”
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    Article
  2. 62
  3. 63

    TickRS: A High-Speed Gapless Signal Sampling Method for Rolling-Shutter Optical Camera Communication by Yongfeng Hong, Xiangting Xie, Xingfa Shen

    Published 2025-07-01
    “…To address this, this paper proposes NoGap-RS, a no-gap sampling method, theoretically addressing the signal loss issue at longer distances from a perspective of CMOS exposure timing. …”
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  4. 64
  5. 65

    Hierarchical multi‐modal video summarization with dynamic sampling by Lingjian Yu, Xing Zhao, Liang Xie, Haoran Liang, Ronghua Liang

    Published 2024-12-01
    “…Combined with a hierarchical multi‐modal structure, it integrates shot‐level visual and textual information to enhance the semantic understanding of video clips and improve the accuracy of the summarized content. Extensive experiments on benchmark datasets SumMe and TVSum demonstrate the effectiveness of the proposed method.…”
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  6. 66

    Inductively Coupled Plasma-Mass Spectrometric Analysis of Mercury in Biological Samples and Interference Correction Methods by Linghuo ZHANG, Na MA, Haijie CHEN, Pengpeng ZHANG, Mengying HU, Jinli XU, Jinfeng BAI

    Published 2025-01-01
    “…The relative standard deviation (n=10) was 0.7% to 7.0%. The method is suitable for the analysis of Hg in biological samples.…”
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    Article
  7. 67

    Analysis of Biological Samples in a Contemporary Laboratory Practice (Review) by I. I. Miroshnichenko, Y. E. Shilov

    Published 2019-05-01
    “…In the present publication highlights the key points of the main stages of development of methods for determining trace amounts of drugs and metabolites in biological samples using chromatographic and chromatography-mass spectrometry methods. …”
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  8. 68
  9. 69

    A Nonlinear Lagrange Algorithm for Stochastic Minimax Problems Based on Sample Average Approximation Method by Suxiang He, Yunyun Nie, Xiaopeng Wang

    Published 2014-01-01
    “…An implementable nonlinear Lagrange algorithm for stochastic minimax problems is presented based on sample average approximation method in this paper, in which the second step minimizes a nonlinear Lagrange function with sample average approximation functions of original functions and the sample average approximation of the Lagrange multiplier is adopted. …”
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  12. 72

    Assess the Variability and Robustness of an Aluminum-Based Adsorption–Precipitation Method for Virus Detection in Wastewater Samples by Lorena Casado-Martín, Marta Hernández, José M. Eiros, Antonio Valero, David Rodríguez-Lázaro

    Published 2025-05-01
    “…This study evaluates the robustness and variability of the viral concentration and nucleic acid extraction steps by implementing different process controls in wastewater samples across 122 independent experiments. Additionally, correlations between viral recovery efficiencies and relevant physicochemical parameters were also analyzed (<i>n</i> = 600). …”
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  13. 73

    Experience in using the polymerase chain reaction method for diagnosis of measles in the Russian Federation by T. L. Zamotaeva, E. A. Cherkashin, M. A. Ninalalov, Zh. B. Ponezheva, V. G. Akimkin

    Published 2024-11-01
    “…This paper describes the experience of using the polymerase chain reaction method for diagnosing measles in the Russian Federation using the example of the Republic of Dagestan.Objective. …”
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  14. 74

    Experience of clinical incivility and stress in nursing students: A mixed-method study. by Youngjin Lee, Cheryl Brandt, Younglee Kim

    Published 2025-01-01
    “…To analyze the qualitative focus group data, Colaizzi's method to identify significant themes was used. Prevalence of clinical incivility experience in the students was 79.9% (n = 123 out of 159). …”
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  15. 75
  16. 76

    Experiences of punishment by parents during childhood: A retrospective study by Isaković Olivera, Mihić Ivana, Karić Tijana

    Published 2014-01-01
    “…On the Dimensions of Discipline Inventory (A) (DDI-A, Straus, Fauchier, 2007), the participants estimated the experience and methods of disciplining which were used by their parents during their childhood. …”
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  17. 77

    Privacy protection method on time-series data publication by Dong YU, Hai-yan KANG

    Published 2015-11-01
    “…A differential privacy model was proposed based on the sampling filtering and the mechanism of evaluation.Firstly,fixed sampling method was used to sample the original data and the non-sampling data be published directly.Secondly,for the sampling date,utilize the differential privacy mechanism to add the noise.Then,use Kalman to correct the sampling date.Finally,use the mutual information to evaluate data under different sampling intervals.Through the experiment,it is proved that the mechanism can achieve a good balance between the practicality and protective.…”
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  18. 78

    A food safety targeted sampling decision-making method based on association rule mining and GNNs by Jiabin Yu, Xinyue Ma, Xin Zhang, Xiaoyu Cui, Shuaixiang Chen, Zhiyao Zhao

    Published 2025-07-01
    “…Abstract To solve the problem of subjectivity and low targeting of task-assigned food safety sampling, in this study, a targeted sampling decision-making method for food safety was proposed. …”
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  19. 79

    A practical tutorial for optimizing electromembrane extraction methods by response surface methodology by Samira Dowlatshah, Anne Oldeide Hay, Line Noreng, Frederik André Hansen

    Published 2025-05-01
    “…Microextraction techniques, such as electromembrane extraction (EME), have greatly advanced analytical chemistry by providing efficient, cost-effective, and eco-friendly sample preparation methods. EME is especially promising for ionizable analytes, with its success relying on optimizing multiple experimental variables. …”
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  20. 80

    A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

    Published 2025-12-01
    “…To test DA-CV, we conducted a series of experiments on synthetic species abundance and real above ground biomass datasets, where the clustering degree was gradually changed, and we also compared DA-CV with current CV methods (RDM-CV, SP-CV, and kNNDM) in the experiments. …”
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