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Akademický článek

Lambs Grazing With Adult Ewes Prefer Forbs With High‐Nutrient Content in Native Grasslands Dominated by Leymus chinensis and Stipa grandis

Autor: Pengzhen Li, Zhenhao Zhang, Thomas A. Monaco, Yuping Rong

Publikováno v: Ecology and Evolution, Vol 14, Iss 11, Pp n/a-n/a (2024)

ABSTRACT Grazing livestock in grasslands face the challenge of obtaining sufficient nutrition due to uneven distribution of plant species and fluctuating vegetation productivity and nutrient levels. In northern China, Leymus chinensis and Stipa grand

Externí odkaz: https://doaj.org/article/aee240bc2d364430b6f39782f6cad187

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Akademický článek

High sensitivity and detectivity of anomalous Hall sensor based on coupled magnetic bilayers

Autor: Xinna Liu, Fanyu Meng, Meining Du, Yankun Li, Pengzhen Li, Tuo Zhang, Ying Feng, Yi Wang

Publikováno v: AIP Advances, Vol 14, Iss 10, Pp 105210-105210-6 (2024)

Detection of ultralow magnetic field requires a magnetic sensor with high sensitivity and a low noise level. In this work, we used the Co20Fe60B20/Ti/Co20Fe60B20 magnetically coupled multilayer as the core structure of an anomalous Hall sensor. We ad

Externí odkaz: https://doaj.org/article/20d1fa85f4af4f8184792fc30e9416b7

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Akademický článek

Load frequency regulation of multi-area power systems with communication delay via cascaded improved ADRC

Autor: Guizhou Cao, Xiaoke Zhang, Pengzhen Li, Fangyuan Li, Yanhong Liu, Zhenlong Wu

Publikováno v: Energy Reports, Vol 9, Iss , Pp 983-991 (2023)

Load frequency regulation (LFR) is regarded as a significant method for the stable operation of modern power grids. However, the LFR is facing many challenges such as communication delays in the area control error, and external disturbances caused by

Externí odkaz: https://doaj.org/article/eb3501b918464837934a0a974f573531

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Akademický článek

Adaptive and Resilient Model-Distributed Inference in Edge Computing Systems

Autor: Pengzhen Li, Erdem Koyuncu, Hulya Seferoglu

Publikováno v: IEEE Open Journal of the Communications Society, Vol 4, Pp 1263-1273 (2023)

The traditional approach to distributed deep neural network (DNN) inference in edge computing systems is data-distributed inference. In this paradigm, each worker has a pre-trained DNN model. Using the DNN model, the worker processes the data that is

Externí odkaz: https://doaj.org/article/0a570704f3124114b71e1663b364a3ee

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Akademický článek

Optimized cascaded PI controller for the load frequency regulation of multi-area power systems with communication delays

Autor: Zhenlong Wu, PengZhen Li, Yanhong Liu, Donghai Li, YangQuan Chen

Publikováno v: Energy Reports, Vol 8, Iss , Pp 469-477 (2022)

The safe operation of multi-area power systems (MPS) is facing great challenges with the explosive growth of renewable energy, where the load frequency regulation (LFR) may be disturbed due to the unpredictability and uncertainty of renewable energy.

Externí odkaz: https://doaj.org/article/5a9f2fbd7d06439f887963ac7f0d0a80

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Akademický článek

The Detection of Foodborne Pathogenic Bacteria in Seafood Using a Multiplex Polymerase Chain Reaction System

Autor: Pengzhen Li, Xiaoxuan Feng, Baiyan Chen, Xiaoying Wang, Zuyue Liang, Li Wang

Publikováno v: Foods, Vol 11, Iss 23, p 3909 (2022)

Multiplex polymerase chain reaction (PCR) assays are mainly used to simultaneously detect or identify multiple pathogenic microorganisms. To achieve high specificity for detecting foodborne pathogenic bacteria, specific primers need to be designed fo

Externí odkaz: https://doaj.org/article/50527f6b708946f69b2f8e08472b5c7d

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