Showing 2,081 - 2,100 results of 2,280 for search '(( variable function efficiency. ) OR ( variables function (coefficiency. OR coefficiency.) ))', query time: 0.16s Refine Results
  1. 2081

    Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

    Published 2025-07-01
    “…Background: Acute asthma exacerbations (AAEs) are a leading cause of asthma-related morbidity and mortality, especially in resource-limited settings where pulmonary function tests are unavailable or when patients are unable to cooperate with testing. …”
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  2. 2082

    Stochastic demethylation and redundant epigenetic suppressive mechanisms generate highly heterogeneous responses to pharmacological DNA methyltransferase inhibition by Mie K. Jakobsen, Sofie Traynor, Aaraby Y. Nielsen, Christina Dahl, Mette Staehr, Simon T. Jakobsen, Maria S. Madsen, Rasmus Siersbaek, Mikkel G. Terp, Josefine B. Jensen, Christina B. Pedersen, Anup Shrestha, Jonathan R. Brewer, Pascal H. G. Duijf, Odd L. Gammelgaard, Henrik J. Ditzel, Alexei F. Kirkin, Per Guldberg, Morten F. Gjerstorff

    Published 2025-01-01
    “…Results We show that breast cancer tumors and cell cultures exhibit a highly heterogenous response to DNA methyltransferase inhibitors, persisting even under high drug concentrations and efficient DNA methyltransferase depletion. The observed variability in response to DNA methyltransferase inhibitors was independent of cancer-associated aberrations and clonal genetic diversity. …”
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  3. 2083
  4. 2084

    The Analysis of the Effective Factors on Urban Blight in District 3, Region 12, Tehran City by Hossein Mansourian, Ahmad Pour Ahmad, Hasan Ashouri

    Published 2019-09-01
    “…Moreover, a factor analysis was employed to reduce the number of independent variables and identify the urban blight dimensions. …”
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  5. 2085

    Supply chain management and optimization in transportation logistics by Saoussen Krichen

    Published 2022-12-01
    “…</em></p><p><em>2)     </em><em>Unconstrained decision problems that consist of minimizing or maximizing a function. The main concern is the finding of the solution value that corresponds to the global optimum. …”
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  6. 2086

    Optimizing the Construction Supply Chain Network Considering the Flow of Materials, Equipment, Manpower, Drawings and Technical Documents by Seyed Saeid Helli, Hadi Mokhtari, Saeed Dehnavi

    Published 2024-07-01
    “…All indices, parameters, decision variables, objective functions and constraints have been introduced and presented in the proposed model. …”
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  7. 2087

    Modeling of project activities for UAV modernization to conduct swarm drone attack missions by Oleg Fedorovych, Leonid Malieiev, Oleksii Hubka, Andrei Popov

    Published 2025-03-01
    “…The models are intended to optimize new functions related to control, coordination, and navigation, enabling UAVs to perform as part of drone swarms in military missions. …”
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  8. 2088
  9. 2089

    Immunological Avalanches in Renal Immune Diseases by Davide Viggiano, Pietro Iulianiello, Antonio Mancini, Candida Iacuzzo, Luca Apicella, Renata Angela Di Pietro, Sarah Hamzeh, Giovanna Cacciola, Eugenio Lippiello, Andrea Gigliotti, Carmine Secondulfo, Giancarlo Bilancio, Giuseppe Gigliotti

    Published 2025-04-01
    “…Two distinct dynamic patterns emerged: large oscillations in eGFR, proteinuria, or biological age predicted declining function, while small oscillations indicated stability. …”
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  10. 2090
  11. 2091
  12. 2092

    International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

    Published 2025-06-01
    “…The study meticulously constructed and trained the TF-CNN-BiLSTM model using TensorFlow with the Adam optimizer and mean squared error loss function. The training process was optimized with learning rate reduction and early stopping callbacks to prevent overfitting. …”
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  13. 2093

    Enhancing access to specialist appointments in tertiary healthcare in Shanghai, China: a structured reservation pathway using digital health technologies by Li Li, Tao Zheng, Enhong Dong, Minjie Chen, Xiaojing Zhao, Binyuan Zhang, Xuji Zhao, Weijun Shao, Yiling Fan

    Published 2024-12-01
    “…Objective The aim of this study is to develop, implement the precise reservation path (PRP) and investigate its prediction function for scheduling shunting patients for specialist appointment registration in Shanghai, China.Design The PRP system was built on the hospital’s existing information system, integrated with WeChat (WeCom) for user convenience. …”
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  14. 2094

    Sensitivity Analysis of Soil Hydraulic Parameters for Improved Flow Predictions in an Atlantic Forest Watershed Using the MOHID-Land Platform by Dhiego da Silva Sales, Jader Lugon Junior, David de Andrade Costa, Renata Silva Barreto Sales, Ramiro Joaquim Neves, Antonio José da Silva Neto

    Published 2025-03-01
    “…The hydraulic soil parameters of VGM are dependent on soil type and are typically estimated from experimental data; however, they are often obtained using pedotransfer functions, which carry significant uncertainty. As a result, calibration is frequently required to account for both the natural spatial variability of soil and uncertainties estimation. …”
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  15. 2095
  16. 2096

    Spatially varying parameters improve carbon cycle modeling in the Amazon rainforest with ORCHIDEE r8849 by L. Zhu, L. Zhu, L. Zhu, L. Zhu, P. Ciais, Y. Yao, D. Goll, S. Luyssaert, I. Martínez Cano, A. Fendrich, A. Fendrich, L. Li, H. Yang, S. Saatchi, W. Li, W. Li

    Published 2025-08-01
    “…Current dynamic global vegetation models (DGVMs), which use one or two plant functional types for tropical rainforests, fail to capture observed biomass and mortality gradients in this region, raising concerns about their ability to predict forest responses to global change drivers. …”
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  17. 2097

    Dynamic Surrogate Optimization of Vertically Stacked Nanosheet FET Based on Gaussian Process Regression by Christofer N. Yalung, Doldet Tantraviwat

    Published 2025-01-01
    “…Source extension (<inline-formula> <tex-math notation="LaTeX">$S_{ext}$ </tex-math></inline-formula>), drain extension (<inline-formula> <tex-math notation="LaTeX">$D_{ex\mathrm {t}}$ </tex-math></inline-formula>), gate length (<inline-formula> <tex-math notation="LaTeX">$L_{g}$ </tex-math></inline-formula>), nanosheet height (NSh), nanosheet width (NSw), and number of fin (nfin) make up the input variables. In addition to applying normalization to make the weight assignment to the goal functions easier, a penalty component was incorporated to manage the <inline-formula> <tex-math notation="LaTeX">$V_{T}$ </tex-math></inline-formula>. …”
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  18. 2098

    Analysis of Factors Influencing the Development of Community-Based Tourism in Rural Areas, Case Study: Villages Targeted by Tourism in the Markazi Province by Hamid Afshari, Behrouz Mohammadi Yeganeh, Hossein Farahani, Mehdi Cheraghi

    Published 2024-01-01
    “…Thus, the aim of the present research is to find the variables affecting community-based tourism in the target villages of Markazi Province. …”
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  19. 2099

    The Structural Model of Happiness Based on Mindfulness with Mediator Role of Emotional Intelligence, Self-Compassion and Resilience by Mohammad Reza Tamannai far, Faezeh Taraffo

    Published 2024-08-01
    “…Pearson's correlation coefficient method and structural equation modeling were used to analyze the data. …”
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  20. 2100

    A Novel Multi-Dynamic Coupled Neural Mass Model of SSVEP by Hongqi Li, Yujuan Wang, Peirong Fu

    Published 2025-03-01
    “…Steady-state visual evoked potential (SSVEP)-based brain—computer interfaces (BCIs) leverage high-speed neural synchronization to visual flicker stimuli for efficient device control. While SSVEP-BCIs minimize user training requirements, their dependence on physical EEG recordings introduces challenges, such as inter-subject variability, signal instability, and experimental complexity. …”
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