Showing 2,101 - 2,120 results of 3,208 for search '(((((((rates OR rates) OR rates) OR rates) OR rates) OR rates) OR rates) OR rate) and patterns', query time: 0.15s Refine Results
  1. 2101

    Dimensional stabilization of 55%SiCp/Al composites by CUI Yan, LI Pengwei, LI Shuo, CAO Leigang, YANG Yue, LIU Yuan

    Published 2025-04-01
    “…The results show that compared with the 14 μm particle-reinforced samples, the 76 μm particle-reinforced samples and the gradation of 14 μm and 76 μm particle-reinforced samples show better dimensional stability, the size change rate (dV/V) of the control samples can be stabilized at about 1×10-3. …”
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  2. 2102

    Morbidity, mortality, and risk factors associated with Theileria parva seropositivity in a longitudinal calf study, Narok, Kenya by Wyckliff Ngetich, George Karuoya Gitau, Tequiero Abuom Okumu, Gabriel Oluga Aboge, Daniel Muasya

    Published 2025-09-01
    “…The cumulative incidence rate was 37 cases per 100 calf-years with higher incidence rate in agro-pastoral system. …”
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  3. 2103

    Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment by Guanqiang Zuo, Wanqi Mei, Naijie Feng, Dianfeng Zheng

    Published 2025-07-01
    “…In this study, we applied random forest machine learning with variable importance measures to quantify the relative importance of key physiological traits - including photosynthetic rate (Pn), photosynthetic performance index (PIabs), electron transport rate (ETR), maximum photosystem II efficiency (Fv/Fm), superoxide dismutase (SOD) activity, and malondialdehyde (MDA) content- in rice subjected to NaCl (0.3%) and Prohexadione-Calcium (PCa) co-treatment. …”
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  4. 2104

    How key features of early development shape deep convective systems by Sophie Abramian, Caroline Muller, Camille Risi, Thomas Fiolleau, Rémy Roca

    Published 2025-07-01
    “…We find that a system’s growth rate during the first 2 h of development predicts its final size with a Pearson correlation coefficient of 0.65. …”
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  5. 2105

    A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

    Published 2025-06-01
    “…Based on evaluation metrics, the AdaBoost model was identified as the best-performing model, achieving an accuracy of 97.45%, an F1 score of 97.7%, and the Receiver Operating Characteristics Area Under the Curve (ROC-AUC) with a higher true positive rate and a lower false positive rate. The study recommends integrating a machine learning model into healthcare systems to detect STIs early, improve medical care, reduce disease progression, and remove stigmatisation barriers. …”
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  6. 2106

    Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

    Published 2025-05-01
    “…Then, PCA was applied to reduce the dimensionality of seven influencing factors (methane concentration at the upper corner, return airflow methane concentration, oxygen concentration, carbon monoxide concentration, temperature, net flow rate, and wind speed), effectively eliminating weakly correlated features. …”
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  7. 2107

    DiffCoRank: a comprehensive framework for discovering hub genes and differential gene co-expression in brain implant-associated tissue responses by Anirban Chakraborty, Erin K. Purcell, Michael G. Moore

    Published 2025-07-01
    “…A key innovation of our approach is false discovery rate (FDR) based selection of strongly connected genes (SCGs), by which we improve detection of strong coexpression patterns that otherwise could be lost to spurious correlations. …”
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  8. 2108

    Water production efficiency and economic benefits under diversified planting modes of intercropping-multiple cropping in arid regions. by Na Zhang, Jianxin Jin, Jing Chen

    Published 2025-01-01
    “…It can be seen that diversified planting patterns can improve the yield and economic benefits per unit land area, and are a highly promising planting pattern.…”
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  9. 2109

    Workplace determinants of social capital: cross-sectional and longitudinal evidence from a Finnish cohort study. by Tuula Oksanen, Ichiro Kawachi, Anne Kouvonen, Soshi Takao, Etsuji Suzuki, Marianna Virtanen, Jaana Pentti, Mika Kivimäki, Jussi Vahtera

    Published 2013-01-01
    “…<h4>Methods</h4>This is a cohort study of 43,167 employees in 3090 Finnish public sector workplaces who responded to a survey of individual workplace social capital in 2000-02 (response rate 68%). We used ecometrics approach to estimate social capital of work units. …”
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  10. 2110

    Evaluation of the daily routines and health behaviors of primary school children and their parents: what has changed with a pandemic? by Derya Ceyhan, Betül Karagür Çakmak, Furkan Burkay Gürel

    Published 2025-07-01
    “…For both parents (68.9%) and children (68.5%), the proportion of those who experienced changes in daily routines was high, and who experienced stress due to the pandemic changed their daily routines more (p < 0.01). The rate of unchanged oral hygiene habits was higher for both parents (74.0%) and their children (77.1%). …”
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  11. 2111

    Analysis of major human and foodborne pathogens and their resistance to antimicrobials in the USA in the past two decades: Implications for surveillance and control of antimicrobia... by PAN Hang, LI Xiaoliang, FANG Weihuan, YUE Min

    Published 2018-03-01
    “…Potential links between consumption of antimicrobials and patterns of antimicrobial resistance were discussed. …”
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  12. 2112

    Evaluation of Worker Fatigue During Exoskeleton-Assisted Tasks with Varying Intensities by Daehwi Jo, Gu Young Cho, Kyung-In Kang, Hyunsoo Kim

    Published 2025-04-01
    “…Time-series analysis further revealed that exoskeletons not only decrease overall fatigue accumulation but also slow the rate of fatigue increase, extending the period in which workers can maintain safe and efficient movement patterns. …”
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  13. 2113

    Contemporary problems of budget development of regional centers by M. A. Pechenskaya

    Published 2020-03-01
    “…It is shown that the risk of budget reduction in the social sphere and economy financing increased due to the growing cost of servicing municipal debt, which in the North-Western federal district regional centers increased 14 times in 2011-2018, while the average growth in Russia in that period was four-fold. The increase in the rate of budget expenditures centralization was revealed, which was manifested in an eight-fold increase in the delegated authority from higher levels to the budgets of regional centers of the North-Western federal district in 2011-2018.Scientific novelty: modern patterns of budget systems development of regional centers of Russia and the North-Western federal district are defined and justified, in particular for 2011-2018.Practical significance: the materials of the article can be used by professors of higher educational institutions in the educational process, and by researchers as a research base. …”
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  14. 2114

    Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach by Sheyda Bahrami, Erol Yumuk, Alper Kerem, Beytullah Topçu, Ahmetcan Kaya

    Published 2024-06-01
    “…With an astounding 93% recall rate for the rule-based feature space combination of the random forest classifier, this novel approach has produced outstanding results. …”
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  15. 2115

    A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

    Published 2025-10-01
    “…The framework employs differential entropy (DE) features extracted from filtered EEG signals and heart rate variability (HRV) features derived from ECG signals as dual input streams, capturing distinct internal–external interaction patterns. …”
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  16. 2116

    Impact of stratifin/14-3-3σ on survival and interstitial lung disease in patients with non-small cell lung cancer receiving immune checkpoint inhibitors by Daiki Murata, Koichi Azuma, Kenta Murotani, Yoshiaki Zaizen, Tomoaki Hoshino

    Published 2025-07-01
    “…Meanwhile, delta-SFN, representing the change in SFN values between ICI initiation and at the 6-week point, was associated with progression-free survival, overall survival, disease control rate, and ICI-ILD image patterns. Conclusion SFN levels in plasma were associated with therapeutic efficacy and ICI-ILD pattern in patients with NSCLC receiving cancer immunotherapy. …”
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  17. 2117

    Three Dimensional Image Reconstruction of Electrical Capacitance Tomography Based on Improved ALEXNET Convolutional Neural Network by LI Yan, WANG Lu, LI Jiaqi

    Published 2020-08-01
    “…The AlexNet convolutional neural network uses the Adam algorithm with impulse and adaptive learning rate which can reduce the error oscillation and accelerate the convergence of neural networks during training. …”
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  18. 2118

    Sexual behaviors and associated factors among first-year undergraduates at overseas Chinese-oriented universities in China by Zulin Chen, Zulin Chen, Yikun Zheng, Lihan Lin, Lihan Lin, Yongjun Chen, Yunting Zheng, Hongmiao Chen, Hongmiao Chen

    Published 2025-08-01
    “…The rate was significantly higher among students from Hong Kong, Macau, and Taiwan compared to those from Mainland China and abroad (p &lt; 0.05), which was corroborated by the logistic regression (OR = 3.737, 95% CI: 2.846–4.908). …”
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  19. 2119

    Optimization of Bus Rerouting to Alleviate the Impact of Rail Transit Construction by Yiran Wang, Jingxu Chen, Xinlian Yu, Qinhe An, Xu Wu

    Published 2022-01-01
    “…In the first stage, the effect of the construction on bus operation is evaluated based upon one indicator, namely the increased rate of bus turnaround time. The affected lines that need rerouting are sifted by the indicator. …”
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  20. 2120

    Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

    Published 2025-01-01
    “…The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. …”
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