Adaptive Control of Space Robot Despinning Tumbling Target Using Flexible Brushes by Shengxin Sun, Cheng Wei, Zhuoran Huang, Hao Wu, Haibo Zhang, Jianchun Lu, Yan Du

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Spectral Properties with the Difference between Topological Indices in Graphs by Akbar Jahanbani, Roslan Hasni, Zhibin Du, Seyed Mahmoud Sheikholeslami

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Real-Life State of Anti-Hepatitis B Virus Drug Choice in Child-Bearing Age Male Patients and Effect on Fertility and Fetal Safety by Zhao X. Hu, Yi N. Ye, Wei G. Wu, Xu J. Liang, Qi W. Wu, Ao Zhang, Xing R. Zheng, Zhi L. Gao, Liang Peng, Chan Xie

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Coupling Coordination Evaluation of Water Resources and Social Economy and Obstacle Factors in the Greater Bay Area by CHEN Juan, WANG Sen, YANG Jiantao, HE Xingchang

“…In order to understand the coupling relationship between water resources and social economy and the main constraints in the Greater Bay Area,an evaluation index system of water resources and social economy in the Greater Bay Area is established.The coupling coordination degree model is used to evaluate the coordination states of water resources and social economy in the Greater Bay Area from 2011 to 2021,and the obstacle factors are analyzed.The results show that the coupling coordination degree of the water resources and social economy in the Greater Bay Area is between 0.43 and 0.51,which is in a low state,and the social economy system develops too fast.The degree of coupling coordination is relatively high in Zhuhai and relatively low in Foshan.The main obstacle factors are per capita water resources,per capita GDP,the proportion of tertiary industry GDP,urbanization rate,and the actual water consumption per mu of cultivated land.The research results provide a reference for the coordinated development of water resources and social economy and the planning,utilization,and management of water resources in the Greater Bay Area.…”
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Comparative analysis of the intestinal flora of Siniperca chuatsi at different growth stages under three feeding practices by Yunyun Yan, Fubao Wang, Xiao Chen, Junjian Dong, Fengying Gao, Hetong Zhang, Xing Ye, Chengbin Wu, Chengfei Sun

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Arbuscular mycorrhizal fungi mitigate cadmium stress in maize by Qiqiang Kuang, Yujie Wu, Yamin Gao, Tingting An, Shuo Liu, Liyan Liang, Bingcheng Xu, Suiqi Zhang, Min Yu, Sergey Shabala, Yinglong Chen

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Study on the Multi-parameter Inversion of Reservoir Water Quality Based on GF-1 WFV Image and Neural Network Model by ZHENG Yanhui, ZHANG Yuanbo, HE Yanhu

“…Taking a medium-sized reservoir in Foshan City, Guangdong Province asan example, based on the GF-1 WFV image, a quantitative inversion model between 5 water qualityparameters of Chl-a, SD, TP, TN and COD_Mn) and image data of Dongfeng Reservoiris established withneural network models, the determination coefficient (R²) between the predicted and measuredvalues of the 5 water quality parameters all reached above 0.8, with the average relative errorsof less than 40%. …”
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Impact of infection in patients with non-ST elevation acute coronary syndrome undergoing percutaneous coronary intervention: insight from a multicentre observational cohort from Ch... by Jun Li, Lei Jiang, Wei Chen, Ning Tan, Wei Guo, Ji-yan Chen, Yuan-hui Liu, Peng-cheng He, Peng-Yuan Chen, Chong-Yang Duan, Xue-Biao Wei, Yin-Lin Zhou, Zhu-Jun Chen, Jian-Fang Luo, Dan-Qing Yu, Qing-Shan Geng, Chun-Ying Lin, Zhi-Qiang Guo, Yan-Song Guo, Yi-Yue Chen, Wen-Sheng Li

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Analyzing the influence of principals' instructional leadership, teachers' attitudes toward change, and schools' collaborative learning cultures on educational reform in learning by Ying Hu, Ibrahim Duyar

“…A random sample of 22 public schools with museums was selected from four cities in China (Shanghai, Shaoxing, Hangzhou, and Foshan). A total of 111 school teachers and 1171 students were included as participants. …”
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Farklı Işık Kaynakları Polimerizasyonda Ne Kadar Isı Oluşturur ? by Didem Öner Özdaş, Sevgi Zorlu, Ecem Salmaz, Gizem Akkuş, Beril Kaplan

“…Paul, MN, USA, WoodPecker/LEDB/KEJU Met. Prod., Foshan, China and WoodPecker/Kesikli) gerçekleştirilen polimerizasyon sırasında ortaya çıkan ısı farklarını belirleyebilmek için dijital termometreli, ortasında ısıyı algılayan metal proba sahip bir düzenek (ENDA ET4420® PID Istanbul/TÜRKİYE) oluşturulmuştur. …”
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Experimental and Numerical Studies on Vertical Properties of a New Multi-Dimensional Earthquake Isolation and Mitigation Device by Zhaodong Xu, Liheng Lu, Benqiang Shi, Fuhgwo Yuan

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Assessment and Risk Identification of Water Resources Carrying Capacity in the Pearl River Basin by ZHOU Xuexin, LUO Hao

“…:Taking the Pearl River Basin as the research object,this paper builds an evaluation index system for water resources carrying capacity with 13 indexes selected from four aspects of water resources,society,economy,and the ecological environment by using the data in the water resources bulletin and statistical yearbook of the year 2018.The technique for order of preference by similarity to ideal solution (TOPSIS) model integrated with combined weighting is used to evaluate and analyze the water resources carrying capacity of 46 cities in the basin.The hot spot analysis method is employed to identify the high-risk areas of water resources carrying capacity there.The results show that the overall water resources carrying index of the basin is 0.504,and the water resources carrying capacity is at Level 2,reflecting the moderate overall water resources carrying status of the basin.There are significant differences in water resources carrying capacity among different regions in the basin.On the whole,the middle-upper reaches of the basin have better carrying capacity than the upper and middle-lower reaches.The Pearl River Delta region is facing great water resources carrying capacity pressure.The distribution of water resources carrying capacity is highly concentrated in the basin.The risk of water resources carrying capacity is not significant in most regions of the basin.Five cities,including Shenzhen,Dongguan,Guangzhou,Foshan,and Zhongshan,are in the hot spot range (99% confidence level).They are high-risk areas of water resources carrying capacity,all concentrated in the Pearl River Delta region.…”
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Spatial-Temporal Variation of Vegetation NDVI and Its Response to Climate in Guangdong-Hong Kong-Macao Greater Bay Area from 2012 to 2021 by FU Xiang, LIU Hao

“…Exploring the normalized difference vegetation index (NDVI) variation of vegetation and its response to climate change in the Guangdong-Hong Kong-Macao Greater Bay Area is of great significance for regional ecological environment restoration and vegetation improvement.According to MODIS NDVI data and meteorological data,Sen trend analysis,coefficient of variation (CV),and correlation analysis were adopted to analyze the spatio-temporal variation characteristics of vegetation and its response to climate change in the Greater Bay Area in recent 10 years.The results show that:①The NDVI of the vegetation in the Greater Bay Area generally shows a slow upward trend,with a rising slope of 0.003 3 /a,and the effect of continuous improvement of vegetation is great;②the NDVI stability of vegetation in the Greater Bay Area is relatively strong,with an average CV of 0.054 8.The areas with low and lower fluctuation changes of vegetation account for 89.94%,while those with high and higher fluctuation changes are mainly distributed in Foshan,Zhongshan,Dongguan,Shenzhen,Zhuhai,south of Guangzhou,and other regions with rapid economic development;③the correlation between NDVI of vegetation and average temperature in the Greater Bay Area is higher than that between NDVI of vegetation and precipitation.Temperature is the dominant factor affecting vegetation growth,and precipitation is mainly negatively correlated with the NDVI of vegetation.The research results can provide a theoretical basis for the ecological environment governance and green sustainable development of the Guangdong-Hong Kong-Macao Greater Bay Area.…”
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Assessing the effects of a mixed Eimeria spp. challenge on performance, intestinal integrity, and the gut microbiome of broiler chickens by Danielle Graham, Victor M. Petrone-Garcia, Xochitl Hernandez-Velasco, Makenly E. Coles, Marco A. Juarez-Estrada, Juan D. Latorre, Jianmin Chai, Stephanie Shouse, Jiangchao Zhao, Aaron J. Forga, Roberto Senas-Cuesta, Lauren Laverty, Kristen Martin, Carolina Trujillo-Peralta, Ileana Loeza, Latasha S. Gray, Billy M. Hargis, Guillermo Tellez-Isaias

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Competitive and collaborative relationship between Al–3P and TiB2 nanoparticles in the microstructure manipulation of eutectic Al–Si alloys by Yi-Lu Li, Bai-Xin Dong, Hong-Yu Yang, Dan Luo, Shi-Li Shu, Zhi-Fa Wang, Jie Kang, Jia Meng, Chang-Jie Luo, Cheng-Gang Wang, Kuang Cao, Jian Qiao, Ming Zhu, Feng Qiu, Qi-Chuan Jiang

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Climatological Investigation of Ionospheric Es Layer Based on Occultation Data by Haibing Ruan, Xiuwen Qiu, Xin Guo, Xiangxue Wang, Xin Zhang

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Dynamic Analysis and Prediction of Ecological Footprint of Water Resources in the Pearl River Delta Region by NIU Yachao, LUO Zhu, WANG Qiang, FU Zhijun, XU Chengyi

“…The pressure of water resources in Foshan City is great and unsustainable. The ecological footprint of water resources per capita at a GDP of 10,000 yuan shows a decreasing trend over the years, and the ecological footprint of water resources per capita in this region exhibits a stable decreasing trend over the next decade. …”
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A deep learning based smartphone application for early detection of nasopharyngeal carcinoma using endoscopic images by Yubiao Yue, Xinyu Zeng, Huanjie Lin, Jialong Xu, Fan Zhang, KeLin Zhou, Li Li, Zhenzhang Li

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Learning with semantic ambiguity for unbiased scene graph generation by Shanjin Zhong, Yang Cao, Qiaosen Chen, Jie Gong

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Research on the Coupling Relationship between Professional Clusters and Industrial Clusters in the Pearl River Delta Region of China by Li Li, Yuzhou Hu, Sisi Zheng, Yimian Lin

“…The results presented in this work show that the professional cluster construction and industrial construction level of four prefecture-level cities, including Guangzhou, Shenzhen, Foshan, and Dongguan, achieve coordinated development, while the remaining areas are mostly in transformation and integration stages. …”
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