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Accurate monitoring of plant phenology is vital to effective understanding and prediction of the response of vegetation ecosystems to climate change. Satellite remote sensing is extensively employed t...
Understanding forest dynamics at the stand level is crucial for sustainable management. Landsat time series have been shown to be effective for identification of drastic changes, such as natural distu...
This study aims to investigate how alternations of the land surface temperature (LST) affects the normalized difference vegetation index (NDVI) in Paphos forest, Cyprus, using Landsat-5 and Landsat-8 ...
The monitoring of land cover and land use patterns is pivotal in the joint effort to fight deforestation in the Amazon and study its relation to climate change effects with respect to anthropogenic ac...
Planted forests provide a variety of meaningful ecological functions and services, which is a major approach for ecological restoration, especially in arid areas. However, mapping planted forests with...
Monitoring disturbances in tropical forests is important for assessing disturbance-related greenhouse gas emissions and the ability of forests to sequester carbon, and for formulating strategies for s...
北京时间2023年11月8日凌晨4:00-5:00,中山大学肿瘤防治中心徐瑞华教授将携团队最新成果亮相美国肿瘤学年会全体大会系列会议 (ASCO Plenary Series),发布全球首个抗Claudin 18.2 抗体偶联药物(CMG901)治疗晚期Claudin 18.2阳性胃癌及胃食管结合部腺癌的I期临床研究最新结果。
2023年9月21日,“Frontiers in Biomedical Sciences and Veterinary Public Health Seminar Series”系列讲座第十期于动医动科大楼学术报告厅顺利举办。讲座特邀英国皮尔布莱特(Pirbright)研究所非洲猪瘟病毒组首席科学家Linda Dixon以“ASFV逃避宿主免疫防御和疫苗研发(ASFV evasion of hos...
Speaker: Prof. Q. M. Zhang Lee Hsun Lecture Series(图)     Prof. Q. M. Zhang  Lee Hsun  Lecture Series       font style='font-size:12px;'> 2023/5/18
Our society is highly dependent on reliable cooling for air conditioning (AC) and refrigeration. Currently, modern cooling is supported by a 19th century technology: vapor compression cycle (VCC)-base...
We explore time-varying networks for high-dimensional locally stationary time series, using the large VAR model framework with both the transition and (error) precision matrices evolving smoothly over...
This paper develops a novel method for policy choice in a dynamic setting where the available data is a multivariate time series. Building on the statistical treatment choice framework, we propose Tim...
In this talk, we discuss “Hecke summation” for the classical Eisenstein series E_k in an adelic setting. The connection between classical and adelic functions is made by explicit calculations of local...
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...

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