Showing 81 - 100 results of 291 for search 'average consumption patterns', query time: 0.10s Refine Results
  1. 81
  2. 82

    Development potential of multi-cropping systems and its influence on agricultural water consumption in the Huang–Huai–Hai River Basin of China by Linghui Li, Qingming Wang, Yong Zhao, Jiaqi Zhai, Haihong Li, Shuying Han, Lichuan Wang, Yunpeng Gui

    Published 2025-03-01
    “…The impact of global warming on the cropping system (CS) has been increasingly emphasized, and it is essential to analyze the changing pattern of the CS and the impact of agricultural water consumption (AWC) for timely adjustment of the crop and water management. …”
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    Article
  3. 83

    Patterns and drivers of water-land resources nexus in arid inland river basins of northwestern China by Lingge Wang, Wei Liu, Qi Feng, Zhenliang Yin, Rui Zhu, Meng Zhu, Jutao Zhang, Yuanyuan Xue, Zexia Chen, Xuejiao Li

    Published 2025-06-01
    “…Results showed that the water-land nexus index (WLNI) exhibited decreasing trend from headwaters (water conservation area) to middle and lower reaches (water consumption area). The WLNI decreased in both water conservation and consumption area from 1980 to 2000, with an area-weighted average varying from 0.1105 to 0.1071 for whole basin. …”
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    Article
  4. 84

    Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

    Published 2025-04-01
    “…An extensive evaluation is performed with production traces provided by Huawei Technologies, showing that the models are practical, with low memory consumption (<1.3 MB) and low training delay (<1.8 ms per training instance), and can make accurate predictions online (0.98 F1 score and 0.07 MAE on average).…”
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  5. 85
  6. 86

    Detection and Pattern Recognition of Chemical Warfare Agents by MOS-Based MEMS Gas Sensor Array by Mengxue Xu, Xiaochun Hu, Hongpeng Zhang, Ting Miao, Lan Ma, Jing Liang, Yuefeng Zhu, Haiyan Zhu, Zhenxing Cheng, Xuhui Sun

    Published 2025-04-01
    “…Herein, a sensor array consisting of 24 metal oxide semiconductor (MOS)-based MEMS sensors with good gas sensing performance, a simple device structure (0.9 mm × 0.9 mm), and low power consumption (<10 mW on average) was developed. The experimental results show that there are always several sensors among the 24 sensors that show good sensing performance in relation to each CWA, such as a relatively significant response, a broad detection range (AC: 5.8–89 ppm; GB: 0.04–0.47 ppm; GD: 0.06–4.7 ppm; VX: 9.978 × 10<sup>−4</sup>–1.101 × 10<sup>−3</sup>; HD: 0.61–4.9 ppm), and a low detection limit that is lower than the immediately dangerous for life and health (IDLH) level of the five CWAs. …”
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  7. 87

    Educational and nutritional status of the adult population of the Russian Federation. The results of an epidemiological study ESSE-RF by N. S. Karamnova, S. A. Maksimov, S. A. Shalnova, Yu. A. Balanova, A. E. Imaeva, G. A. Muromtseva, A. V. Kapustina, S. E. Evstifeeva, O. M. Drapkina

    Published 2019-11-01
    “…To study the differences in the nutrition pattern of the adult population of the Russian Federation, depending on the educational qualification.Material and methods. …”
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    Article
  8. 88

    Dietary consumption trajectory profiles over time of French adults from the NutriNet-Santé cohort (2014–2022): multicriteria analysis of sustainability by Hafsa Toujgani, Juhui Wang, Elie Perraud, Julia Baudry, Justine Berlivet, Benjamin Allès, Hélène Fouillet, Serge Hercberg, Mathilde Touvier, Denis Lairon, Philippe Pointereau, Christian Couturier, François Mariotti, Emmanuelle Kesse-Guyot, the TRANSFood Consortium

    Published 2025-06-01
    “…Methods Consumption data from 17,187 NutriNet-Santé cohort participants (52% women, average age 48y, SD = 16) were collected via food frequency questionnaires in 2014 (weighted to the French Census), 2018, and 2022. …”
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  9. 89

    A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

    Published 2025-01-01
    “…A clustering approach is employed to group users with similar consumption patterns resulting in 107 models. Effectiveness of models is validated with eight deep learning algorithms trained for two forecasting horizons. …”
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  10. 90

    Food consumption and adherence to dietary guidelines among Jordanian children and adolescents [version 4; peer review: 1 approved, 3 approved with reservations] by Islam K. Al-Shami, Buthaina Alkhatib, Huda Al Hourani, Ayoub Al-Jawaldeh

    Published 2025-02-01
    “…Background Early-life food consumption patterns may affect children’s health by increasing susceptibility to developing non-communicable chronic diseases (NCDs) in adulthood. …”
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  11. 91
  12. 92

    Nicotinamide benefited amino acid metabolism and rumen fermentation pattern to improve growth performance of growing lambs by YuAng Wang, Hao Wu, Yiwei Zhang, Mingfeng Fei, Zhefeng Li, Daxi Ren, Chong Wang, Xiaoshi Wei

    Published 2024-11-01
    “…All lambs were fed the same pelleted total mixed rations to allow ad libitum consumption and had free access to water. Results The RPN tended to increase the average daily gain and feed efficiency. …”
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  13. 93

    Association of dietary patterns with hypertension among adults residing in Tibetan China: findings from a population-based study by Xinran Li, Xin Zhang, Qiling Gou, Qingtao Meng, Xiaoping Chen

    Published 2025-03-01
    “…Participants were asked to report the frequency and portion size of their consumption of each food item over the past year. The collected data were subsequently converted into average daily intake, with the 92 food items grouped into 23 distinct categories. …”
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  14. 94

    Monthly Urban Electricity Power Consumption Prediction Using Nighttime Light Remote Sensing: A Case Study of the Yangtze River Delta Urban Agglomeration by Shuo Chen, Dongmei Yan, Cuiting Li, Jun Chen, Jun Yan, Zhe Zhang

    Published 2025-07-01
    “…Urban electricity power consumption (EPC) prediction plays a crucial role in urban management and sustainable development. …”
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  15. 95

    Identifying the spatiotemporal patterns and natural and socioeconomic influencing factors of PM2.5 and O3 pollution in China. by Dongsheng Zhan, Zichen Wang, Hongyang Xiang, Yukang Xu, Kan Zhou

    Published 2025-01-01
    “…To promote collaborative governance of PM2.5 and O3 pollution, understanding their spatiotemporal patterns and determining factors is crucial to control air pollution in China. …”
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  16. 96

    POLA DINAMIS DISTRIBUSI BERAS UNTUK OPERASI PASAR DOlOG BENGKUlU by Nurhayatin Nufus

    Published 2006-04-01
    “…The results show that dinamic distribution  pattern  based  on syclicaJ trend tends  to increasing  along with consumption.  …”
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  17. 97

    Cardiorespiratory fitness (CRF) and its relationship with maximum oxygen consumption (VO2max) among 16-year-old junior players at Zakho football club by Athraa Abdulelah Abdulsatar

    Published 2024-12-01
    “…Heart rate response patterns indicated diverse cardiovascular adaptations across performance levels, suggesting the need for individualized training approaches. …”
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  18. 98
  19. 99

    A study on multimorbidity patterns, Inpatient care utilization, and associated factors in inpatients with Multimorbidity in township health centers of Guangxi by Xi Qian, Shen Ying, Zhao Can, Ji Shuyu, Peng Houxuan, Qin Jinqiong, Wang Xuan, Zheng Yanping, Zuo Yanli

    Published 2024-09-01
    “…Results: A total of 9,330 patients with multimorbidity were included, with an average age of 68.1 ±11.8 years, and 52.6 % were female. …”
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  20. 100

    Ultra-processed foods and plant-based alternatives impair nutritional quality of omnivorous and plant-forward dietary patterns in college students by Svenja Fedde, Miriam Wießner, Franziska A Hägele, Manfred J Müller, Anja Bosy-Westphal

    Published 2025-02-01
    “…This is further aggravated by plant-forward eating patterns including the consumption of plant-based alternatives.…”
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