Showing 7,241 - 7,260 results of 8,845 for search '"Interpreting"', query time: 0.08s Refine Results
  1. 7241

    Identification of a postoperative survival scoring index for adult liver transplantation by Shuai Wang, Xiaohong Lin, Yefu Li, Zhonghao Xie, Ming Zhang, Yicheng Liang, Chuchen Zhu, Yuqi Dong, Ping Zeng, Xiaoshun He, Weiqiang Ju, Maogen Chen

    Published 2025-12-01
    “…The postoperative survival score (POSS) index was further simplified via restricted cubic spline (RCS) analysis. Finally, the interpretation of the long-term mortality and subgroup analyses extended the application of the POSS index.Results Finally, a total of five factors (donor sex, recipient body mass index (BMI), total bilirubin (Tbil), international normalized ratio (INR) and total operative time) were identified as independent risk parameters and included in our POSS index. …”
    Get full text
    Article
  2. 7242

    RiskTree: Decision trees for asset and process risk assessment quantification in big data platforms by Zhan Haomou, Yang Jiawei, Guo Zhenyang, Cao Jin, Zhang Dong, Zhao Xingwen, You Wei, Li Hui

    Published 2024-01-01
    “…Furthermore, the proposed risk assessment process not only effectively identifies and quantifies risks but also provides highly interpretable evaluation results.…”
    Get full text
    Article
  3. 7243

    “It was a foregone conclusion”: a qualitative study of women’s experiences and meaning-making of later-in-life abortion in Belgium by Kato Verghote, Nathalie Neeser, Tenzin Wangmo, Guido Pennings, Veerle Provoost

    Published 2024-12-01
    “…This study presents findings from qualitative interviews with Belgian women who had an abortion at the age of 40 or older, conducted between May 2022 and April 2023. Using interpretative phenomenological analysis, we explored the experiences and decision-making processes of women who had abortions later in life. …”
    Get full text
    Article
  4. 7244

    Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

    Published 2025-05-01
    “…Considering the improved interpretable performance of Kolmogorov–Arnold Networks (KAN) algorithm compared to multi-layer perceptron (MLP) algorithm, a fundamental research question arises on how modifying the loss function of KAN affects its modelling performance for energy systems, particularly industrial-scale thermal power plants. …”
    Get full text
    Article
  5. 7245

    Monitoring Unfractionated Heparin in Adult Patients Undergoing Extracorporeal Membrane Oxygenation (ECMO): ACT, APTT, or ANTI-XA? by Tung Phi Nguyen, Xuan Thi Phan, Dai Quang Huynh, Ha Thi Viet Truong, Yen Nguyen Hai Le, Tuan Manh Nguyen, Quan Quoc Minh Du, Thao Phuong Le, Hai Ngoc Truong, Thi Thi Ho, Thao Thi Ngoc Pham

    Published 2021-01-01
    “…Results. 129 sets of measurements from 37 patients were obtained including ACT, APTT, anti-Xa, antithrombin, and UFH dose measured simultaneously. 102 out of 129 sets of values were interpreted as antithrombin deficiencies. The correlation coefficient between APTT and anti-Xa; ACT and anti-Xa are 0.72 and 0.33, respectively, p<0.001. …”
    Get full text
    Article
  6. 7246

    A comparative cohort study of post-COVID-19 conditions based on physical examination records in ChinaResearch in context by Zhong Liu, Boqiang Hu, Tao Zeng, Cuiping You, Nan Li, Yongjing Liu, Jie Zhang, Chenbing Liu, Piaopiao Jin, Xiaoxi Feng, Jun Chen, Jinyan Huang

    Published 2025-02-01
    “…There was an observed increase in the fraction of T-wave abnormalities during the outbreak, especially in people with chronic diseases such as hypertension, liver steatosis, and hyperglycemia. Interpretation: These findings highlighted the impact of COVID-19 on cardiovascular health and its potential interaction with chronic diseases. …”
    Get full text
    Article
  7. 7247

    Analysis of COVID-19 Lockdown to Understand Air Pollution Processes and Their Impacts on Health: A Case Study in the Western Balkans by Claudio A. Belis, Djordje Djatkov, Martina Toceva, Jasmina Knezevic, Gordana Djukanovic, Aneta Stefanovska, Nikola Golubov, Biljana Jovic, Andreas Gavros

    Published 2025-01-01
    “…The reduction in NO<sub>2</sub> concentrations during the LD resulted in a reduction in mortality associated with air pollution in the largest cities, while the interpretation of the changes in O<sub>3</sub> and particulate matter is less clear.…”
    Get full text
    Article
  8. 7248

    Benchmarking the identification of a single degraded protein to explore optimal search strategies for ancient proteins by Rodriguez Palomo, Ismael, Nair, Bharath, Chiang, Yun, Dekker, Joannes, Dartigues, Benjamin, Mackie, Meaghan, Evans, Miranda, Macleod, Ruairidh, Olsen, Jesper V., Collins, Matthew J.

    Published 2024-11-01
    “…Palaeoproteomics is a rapidly evolving discipline, and practitioners are constantly developing novel strategies for the analyses and interpretations of complex, degraded protein mixtures. …”
    Get full text
    Article
  9. 7249

    Methodological Tutorial Series for Epidemiological Studies: Confounder Selection and Sensitivity Analyses to Unmeasured Confounding From Epidemiological and Statistical Perspective... by Kosuke Inoue, Kentaro Sakamaki, Sho Komukai, Yuri Ito, Atsushi Goto, Tomohiro Shinozaki

    Published 2025-01-01
    “…Integrating these principles and approaches will enhance our understanding of confounder selection and facilitate better reporting and interpretation of future epidemiological studies.…”
    Get full text
    Article
  10. 7250

    Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

    Published 2025-02-01
    “…Initially, a sliding window-based technique is employed to transform the one-dimensional spectral band sequence into a more interpretable two-dimensional matrix. Subsequently, a deep convolutional feature extraction module, ensembled with a bilayer LSTM module, is deployed to capture both global and local correlations inherent within hyperspectral bands. …”
    Get full text
    Article
  11. 7251

    Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke by Ye Jin Jeon, Hong Gee Roh, Sumin Jung, Hyun Yang, Hee Jong Ki, Jeong Jin Park, Taek-Jun Lee, Na Il Shin, Ji Sung Lee, Jin Tae Kwak, Hyun Jeong Kim

    Published 2025-01-01
    “…The DL-driven MRA collateral map demonstrates clinical feasibility for collateral perfusion grading in acute ischemic stroke, with the added benefits of reduced generation and interpretation time, along with improved image quality of the MRA collateral map.…”
    Get full text
    Article
  12. 7252

    New digital drilling process monitoring: Instrumentation, validation and calibration by Yanpeng Sun, Zuyu Chen, Fangcai Xu, Yufei Zhao, Ruilang Cao, Dong Li

    Published 2025-01-01
    “…These two indices allow for the quantitative interpretation of DPM data into rock mechanics characteristics, such as uniaxial compressive strength, rock quality designation (RQD), and rock mass permeability, eliminating the need for subjective judgment normally involved in the currently used rock mass quality rating approaches.…”
    Get full text
    Article
  13. 7253

    Medium-term load forecasting with Power Market Survey: GEPCO case study by Sheeza Mariam Nawaz, Ubaid Ahmed, Adil Amin, Syed Afraz Hussain Shah, Anzar Mahmood

    Published 2024-06-01
    “…The deep-learning networks (DLNs), proposed in recent years, have a black-box nature, which reduces the interpretability of the results. Therefore, in the proposed study, a mathematical model, Power Market Survey (PMS), is implemented to forecast month-ahead load for GEPCO division dataset. …”
    Get full text
    Article
  14. 7254

    A qualitative descriptive study examining the impact of child‐raising experience on Japanese family doctors by Manabu Fujihara, Satoko Watanabe, Kuniko Kodama, Koki Nakamura, Maham Stanyon, Satoshi Kanke, Ryuki Kassai

    Published 2025-01-01
    “…Participants were selected using snowball sampling, and the data were collected via semi‐structured interviews while recording online, which were transcribed verbatim and analyzed using qualitative descriptive analysis, with data‐derived codes being systematically applied and reflexively interpreted. The categories were refined concurrently with the interviews. …”
    Get full text
    Article
  15. 7255

    BA-ATEMNet: Bayesian Learning and Multi-Head Self-Attention for Theoretical Denoising of Airborne Transient Electromagnetic Signals by Weijie Wang, Xuben Wang, Xiaodong Yu, Debiao Luo, Xinyue Liu, Kai Yang, Wen Yang, Xiaolan Yang, Ke Hu, Wenyi Hu

    Published 2024-12-01
    “…Nonetheless, the secondary electromagnetic response signals captured by ATEM systems frequently suffer from numerous noise interferences, which impede effective data processing and interpretation. Traditional denoising methods often fall short in addressing these complex noise backgrounds, leading to less-than-optimal signal extraction. …”
    Get full text
    Article
  16. 7256

    Cockpit-Llama: Driver Intent Prediction in Intelligent Cockpit via Large Language Model by Yi Chen, Chengzhe Li, Qirui Yuan, Jinyu Li, Yuze Fan, Xiaojun Ge, Yun Li, Fei Gao, Rui Zhao

    Published 2024-12-01
    “…This significantly enhances the reasoning and interpretative capabilities of intelligent cockpits.…”
    Get full text
    Article
  17. 7257

    Soil health of bananas cultivated in Ribeira River Valley – the major producing region of Brazil by Cavalieri-Polizeli Karina Maria Vieira, da Silva Anderson Lucas, Cremonesi Marcus, Lima Juliana Domingues, Cipriano Patriciani Estela, Cherubin Maurício Roberto, Rozane Danilo Eduardo

    Published 2024-10-01
    “…Soil health was evaluated through six soil quality indexes developed using different strategies to define the minimum dataset, data interpretation (linear or non-linear scoring curves) and integration (additive or weighted). …”
    Get full text
    Article
  18. 7258

    A One Health approach for the genomic characterization of antibiotic-resistant Campylobacter isolates using Nanopore whole-genome sequencing by Ana Hurtado, Medelin Ocejo, Beatriz Oporto, José Luis Lavín, Ruth Rodríguez, María Ángeles Marcos, Mikel Urrutikoetxea-Gutiérrez, Mikel Urrutikoetxea-Gutiérrez, Miriam Alkorta, Miriam Alkorta, Miriam Alkorta, José María Marimón, José María Marimón

    Published 2025-01-01
    “…The majority of the identified GDRs were present in isolates from different sources, and a good correlation was observed between GDR distribution and phenotypic susceptibility profiles (based on minimum inhibitory concentrations interpreted according to the EUCAST epidemiological cutoff values). …”
    Get full text
    Article
  19. 7259
  20. 7260