Article
Environmental Sciences
Wei Wei, Jing Zhang, Liang Zhou, Binbin Xie, Junju Zhou, Chuanhua Li
Summary: This study evaluated the applicability of different drought indices for monitoring drought events in China. It found that VCI and TCI are better for monitoring long-term drought conditions, while SPI-1 has a higher correlation with PCI for short-term drought monitoring. SMCI has better correlation with short-term in situ drought index. Correlations with combined drought indices were better than with single drought indices.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Foyez Ahmed Prodhan, Jiahua Zhang, Fengmei Yao, Lamei Shi, Til Prasad Pangali Sharma, Da Zhang, Dan Cao, Minxuan Zheng, Naveed Ahmed, Hasiba Pervin Mohana
Summary: The study aims to monitor drought in South Asia using deep learning approach, showing that the DFNN model outperformed others for SMDI prediction and captured high spatial variability of drought patterns. The model also displayed good stability and high correlation coefficients with in-situ SPEI, indicating its applicability for comprehensive drought monitoring.
Article
Agronomy
Haigen Zhao, Yingchun Huang, Xiaowei Wang, Xiaoyu Li, Tianjie Lei
Summary: This study modified and derived the standard Penman-Monteith (PM) model based on meteorological factors and remote sensing data to calculate the modified Standardized Precipitation Evapotranspiration Index (SPEI). The performance of the PMRS-SPEI in agricultural drought monitoring was evaluated and compared with SPEIs based on FAO56 reference evapotranspiration and a simplified version of the PM model. The results showed that the PMRS-SPEI performed better in agricultural drought monitoring.
FIELD CROPS RESEARCH
(2023)
Article
Environmental Sciences
Tehseen Javed, Yi Li, Sadaf Rashid, Feng Li, Qiaoyu Hu, Hao Feng, Xinguo Chen, Shakeel Ahmad, Fenggui Liu, Bakhtiyor Pulatov
Summary: Increasing frequency and intensity of extreme drought events have harmful effects on the environment, ecosystem, and agricultural productivity. This study utilized remote sensing data to derive various drought indices and found that MSDI showed better performance for monitoring agricultural drought in China's mainland. The temporal patterns of VHI anomaly were similar to relative soil moisture and slightly different from precipitation, with MSDI showing the best spatial match with VHI.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Qiming Qin, Zihua Wu, Tianyuan Zhang, Vasit Sagan, Zhaoxu Zhang, Yao Zhang, Chengye Zhang, Huazhong Ren, Yuanheng Sun, Wei Xu, Cong Zhao
Summary: This paper discusses the use of optical and thermal remote sensing in agricultural drought monitoring, with a focus on four categories of methods and the potential of solar-induced chlorophyll fluorescence in early drought detection. Future directions in agricultural drought monitoring include improving early detection, enhancing spatio-temporal resolution, integrating multi-source data, and utilizing deep learning and cloud computing for smart prediction and assessment.
Article
Computer Science, Interdisciplinary Applications
Yujia Cheng, Ke Zhang, Lijun Chao, Wuzhi Shi, Jin Feng, Yunping Li
Summary: This study proposes a new comprehensive remote sensing drought index (CRSDI) based on the nested copulas of remotely sensed precipitation, vegetation index, and land surface temperature that represent water availability, vegetation health, and disturbance impact, respectively, for monitoring meteorological and agroecological droughts. The Qinghai-Tibet Plateau (QTP) is chosen as a case study to test the CRSDI and investigate drought changes and their impacts on vegetation. The results show that CRSDI can effectively monitor the propagation processes and characteristics of meteorological and agroecological droughts. Drought conditions on the QTP are overall relieved from 2000 to 2020, while these changes show an apparent spatial variability, with a general drying (wetting) trend in the north (south). Moreover, vegetation response to drought is different among different vegetation types, with shrubland having a stronger response, followed by cropland, grassland, and forestland. Clearly, CRSDI is valuable for large-scale drought monitoring and assessment.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Geosciences, Multidisciplinary
Alireza Farahmand, J. T. Reager, Nima Madani
Summary: The paragraph discusses the complexity of droughts and their slow evolution over time due to interactions between the atmosphere and the land surface. It emphasizes the use of satellite observations and reanalysis data to quantify cascade phenomena in major US drought case studies, aiming to enhance future predictability of drought events.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Remote Sensing
Yansheng Li, Xinwei Li, Yongjun Zhang, Daifeng Peng, Lorenzo Bruzzone
Summary: Remote sensing big data presents a challenge in efficiently mining useful information. Deep learning has been introduced, but the generation of high-quality pixel-level labels is a major obstacle. Weakly supervised deep learning is a promising solution. This review summarizes the achievements of weakly supervised deep learning-based information extraction from remote sensing big data and outlines potential research directions.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Li Liu, Ran Huang, Jiefeng Cheng, Weiwei Liu, Yan Chen, Qi Shao, Dingding Duan, Pengliang Wei, Yuanyuan Chen, Jingfeng Huang
Summary: This study introduces a new method for meteorological drought monitoring, which outperforms traditional approaches in monitoring drought in both humid and arid regions. The new index calculation method provides more accurate and comprehensive monitoring results, offering a promising approach for future drought studies.
Article
Geochemistry & Geophysics
Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Haeberle, Eike Jens Hoffmann, Hannes Taubenboeck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna Kruspe, Karam Abdulahhad
Summary: This article discusses the characteristics and challenges of utilizing massive imagery and text messages from open platforms and social media as unconventional sources of geoinformation. It addresses key aspects such as data availability, data preparation and management, geoinformation extraction, fusion of social media and remote sensing data, and showcases various geographic applications. Additionally, it provides an extensive discussion on the ethical considerations of using social media data for geoinformation harvesting and geographic applications.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2022)
Article
Environmental Sciences
Niranga Alahacoon, Mahesh Edirisinghe
Summary: This study introduces a novel drought index for hydrological drought monitoring and applies it to five reservoirs in Sri Lanka, finding that it provides more accurate monitoring over large geographical areas.
Review
Computer Science, Artificial Intelligence
Sin Liang Lim, Jaya Sreevalsan-Nair, B. S. Daya Sagar
Summary: This article provides a brief overview of various aspects of data mining of multi spectral image data, with a focus on remote sensing satellite images acquired using multispectral imaging. It reviews different data mining processes, state-of-the-art methods, and applications. The article also emphasizes the importance of understanding data acquisition and preprocessing, and concludes with applications demonstrating knowledge discovery, challenges, and future directions for MSI data mining research.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2023)
Article
Remote Sensing
Wen Wen, Joris Timmermans, Qi Chen, Peter M. van Bodegom
Summary: This research assesses the tolerance of crops to combined drought and salinity stress. The study finds that the sensitivity of crops to these stresses varies with time and species, and provides a way to evaluate the tolerance of crops to multiple stresses. The findings can be applied to inform sustainable food production.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Review
Geosciences, Multidisciplinary
Niranga Alahacoon, Mahesh Edirisinghe
Summary: This study provides a comprehensive review of drought indices used in different fields. It identifies 111 drought indices, divided into traditional and remote sensing categories. The results show that meteorological drought monitoring uses the highest number of traditional indices, while agricultural drought monitoring uses the fewest. Additionally, the study highlights the increasing use of remote sensing indices with advancements in satellite technology.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Environmental Sciences
Wei Wei, Xing Zhang, Chunfang Liu, Binbin Xie, Junju Zhou, Haoyan Zhang
Summary: This study proposes a Geographically Integrated Dryness Index (GIDI) by integrating various indices using geographically weighted regression method, which can scientifically and accurately monitor medium- and long-term droughts. The comprehensive drought situation and changing trends in China from 2001 to 2019 were also examined.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Agronomy
Liang Zhang, Zhiyu Zhu, Fangfang Chen, Yueqing Zhu, Xiaocan Guo, Minjie Fu, Jiahong Chen, Jianguo Wu, Zhujun Zhu
Summary: In this study, distant hybridization between radish and kohlrabi was successfully achieved using tissue culture and chromosome doubling technology, resulting in the production of xBrassicoraphanus allotetraploids. The allotetraploid hybrids exhibited normal morphology and fertility, providing a basis for the production of new radish germplasm and serving as a bridge for gene transfer between Brassica and Raphanus vegetable species.
NEW ZEALAND JOURNAL OF CROP AND HORTICULTURAL SCIENCE
(2023)
Article
Plant Sciences
Yan Wang, Wei Dong, Qin Zhang, Zhen-Peng Li, Yue-Xing Wang, Xiu-Fen Li, Long-Jiang Huang
Summary: An efficient and scalable process for the synthesis of 19-hydroxyprogesterone was developed, achieving a total yield of 34.5%, which is significantly higher than the previously reported process (11.0% total yield). The plausible ring-opening mechanism of the 6,19-epoxy bridge in compound 7 was proposed, and the structures of intermediates were confirmed by LC-MS analysis.
JOURNAL OF ASIAN NATURAL PRODUCTS RESEARCH
(2023)
Article
Environmental Sciences
Wei Huang, Guodong Cao, Chengliang Deng, Yanyan Chen, Tao Wang, Da Chen, Zongwei Cai
Summary: This study investigated the effects of TCS exposure on kidney function in mice. The results showed that TCS caused renal injury, oxidative stress, inflammation, and fibrosis in a dose-dependent manner. Metabolite analysis revealed lipid accumulation and defective fatty acid metabolism in TCS-exposed mouse kidney, which may contribute to renal function impairment.
JOURNAL OF ENVIRONMENTAL SCIENCES
(2023)
Article
Chemistry, Analytical
Akang Dan, Shasha Zhang, Zhongliang Chen, Jinghan Dong, Wenjun Zheng, Yuxin Tu, Zian Lin, Zongwei Cai
Summary: A simple and highly selective analytical method for phthalate monoesters (mPAEs) was developed using Cu2+-immobilized magnetic covalent organic frameworks. The method showed wide linear ranges, low limits of detection, and good correlation coefficients for the detection of mPAEs. The method was successfully applied to the sensitive detection of mPAEs in mouse plasma samples.
Article
Chemistry, Multidisciplinary
Huiyan Li, Huilin Zhang, Xiaofang He, Peiran Zhao, Tong Wu, Jinxuan Xiahou, Yelin Wu, Yanyan Liu, Yang Chen, Xingwu Jiang, Guanglei Lv, Zhenwei Yao, Jian Wu, Wenbo Bu
Summary: A communication interception strategy is developed to block spatiotemporal crosstalk between lysosomes and endoplasmic reticulum (ER) using amorphous-core@crystalline-shell Fe@Fe3O4 nanoparticles (ACFeNPs). This strategy induces autophagy and ER stress, leading to a significant therapeutic effect for cancer treatment.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Pengfei Hou, Yumiao Tian, Yu Xie, Fei Du, Gang Chen, Aleksandra Vojvodic, Jianzhong Wu, Xing Meng
Summary: This study develops a neural network potential (NNP) for aqueous MXene systems using deep neural networks and an active learning scheme, providing ab initio precision at low cost. The oxidation behaviors of super large aqueous MXene systems are investigated at nanosecond timescales, revealing the atomic-level process of MXenes oxidation and the inhibitory effects of free protons and oxides on subsequent oxidation reactions. These findings contribute to the development of effective protection strategies for controlling the stability of MXenes.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Chemistry, Applied
Yinchun Fang, Jianguo Wu, Guojie Ma, Qufu Wei
Summary: Polylactic acid (PLA) fibre is a renewable and biodegradable synthetic polymer that has gained attention in textiles. However, its dyeing process faces challenges, and a waterless dyeing method using disperse dyes is being explored as an alternative. This study investigated the waterless dyeing of PLA fibre using different disperse dyes and decamethylcyclopentasiloxane (D5) as the medium. Optimal dyeing process conditions were determined, and it was found that disperse dyes with a monoazo structure were most suitable for PLA waterless dyeing. The research provides a basis for developing suitable dyes for waterless dyeing of PLA using D5.
COLORATION TECHNOLOGY
(2023)
Article
Engineering, Biomedical
Yuanrong Li, Jianguo Wu, Chuanjiang He, Honghui He, Mingjun Xie, Ke Yao, Jing He, Yan Duan, Liujing Zhaung, Ping Wang, Yong He
Summary: Many mammalian tissues have specific cellular arrangements under stress stimulus, but conventional 3D encapsulation fails to replicate these arrangements accurately, so advanced cellular arrangement approaches are needed. In this study, a novel 3D prestress bioprinting approach is developed, using static sustained tensile stress, molecular chain orientation, and slow crosslinking in bioink to guide tissue construction. The semi-crosslinking state of the bioink provides excellent elasticity for applying stress on cells during the printing process. After printing, the bioink gradually crosslinks and maintains the applied stress force to induce cell-orientated growth. This approach allows for directional arrangement of multiple cell types, with adjustable internal stress in the hydrogel filament, and has potential applications in engineering skeletal muscles, tendons, ligaments, vascular networks, or combinations thereof.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Engineering, Industrial
Ruiyu Xu, Song Huang, Zheren Song, Yuanyuan Gao, Jianguo Wu
Summary: This article proposes a deep mixed-effects modeling approach for anomaly detection in additive manufacturing. It captures the relationship between the melt pool temperature and other sensing data using a deep neural network, and incorporates random-effect and residual terms to account for variations and autocorrelations. Control charts based on T2 and generalized likelihood ratio statistics are developed for online monitoring.
Article
Environmental Sciences
Guanghui Zhao, Taihu Sun, Dongqi Wang, Shu Chen, Yan Ding, Yilan Li, Guitao Shi, Hechen Sun, Shengnan Wu, Yizhe Li, Chenyang Wu, Yufang Li, Zhongjie Yu, Zhenlou Chen
Summary: This study used stable isotopes to investigate the sources and transformation processes of nitrate in Suzhou Creek. The results showed that treated wastewater, soil nitrogen, and nitrogen fertilizer were the main sources of nitrate in the river. Reducing nitrate concentrations in treated wastewater is crucial for addressing nitrogen pollution in urban rivers.
ENVIRONMENTAL RESEARCH
(2023)
Article
Engineering, Environmental
Guodong Cao, Wei Wang, Jing Zhang, Pengfei Wu, Han Qiao, Huankai Li, Gefei Huang, Zhu Yang, Zongwei Cai
Summary: para-Phenylenediamine quinones (PPD-Qs) are newly discovered transformation products derived from para-phenylenediamine (PPD) antioxidants. Their occurrence and fate in wastewater treatment plants (WWTPs) need further investigation to improve pollutant removal efficiency.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Geochemistry & Geophysics
Imali Kaushalya Herath, Guitao Shi, Qian Zhao, Yilan Li, Danhe Wang, Su Jiang, Yangjie Li, Zhenlou Chen, Roberto Bargagli
Summary: This study analyzed the sources and cycling of nitrate (NO3-) in Antarctic soils. The research found that NO3- concentrations and isotopic values were consistent across the latitudinal gradient, with the majority of NO3- derived from nitrification process. Atmospheric deposition contributed minimally to the NO3- budget, and there was evidence of denitrification and cycling between NO3- and nitrite (NO2-). These findings provide new insights into the nitrogen cycle in Antarctic terrestrial ecosystems.
GEOCHIMICA ET COSMOCHIMICA ACTA
(2023)
Review
Engineering, Biomedical
Haiyan Li, Keerthi Subramanian Iyer, Lei Bao, Jiali Zhai, Jiao Jiao Li
Summary: Granular microporous hydrogels made of non-spherical microgels show enhanced characteristics compared to traditional nanoporous hydrogels, promoting cell viability, migration, and tissue regeneration. These hydrogels have higher macroporosity and improved mechanical properties, allowing for better alignment and differentiation of cells in anisotropic tissue. The development of these hydrogels is gaining increasing interest in regenerative medicine.
ADVANCED HEALTHCARE MATERIALS
(2023)
Review
Biochemistry & Molecular Biology
Hui Chen, Cheng Jin, Li Xie, Jian Wu
Summary: Succinate, an intermediate of the TCA cycle, is crucial in mitochondrial metabolism, energy production, and is also considered a signaling molecule in metabolism and hepatic diseases. Its downstream signaling pathway through GPR91 leads to various intracellular responses, including succinylation, ROS production, HIF-1 alpha stabilization, and significant impact in cellular metabolism due to its role in the TCA cycle. Understanding the signaling mechanisms of succinate in hepatic fibrosis, metabolic reprogramming, inflammatory or immune responses, and carcinogenesis is of great interest. This review aims to provide the current understanding of succinate in mediating metabolism, inflammatory and immune responses in liver diseases, with the aim of establishing a molecular basis for therapeutic strategies.
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE
(2024)
Article
Mathematics, Applied
Marco Tosato, Xue Zhang, Jianhong Wu
Summary: We investigate the behavior of solutions to a scalar Delay Differential Equation (DDE) with periodic switching between two constant values. This equation naturally arises in structured vector populations involved in the spread of various vector-borne diseases in a periodically changing environment. We examine the influence of two different time lags and the switching time on the existence and patterns of periodic solutions, with a specific focus on multi-cycles within the prime period.
DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS
(2023)
