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Impact of climate and human activity on NDVI of various vegetation types in the Three-River Source Region, China

Journal of Arid Land 2024年第8期16卷 1080-1097页

作者： LU Qing KANG Haili ZHANG Fuqing XIA Yuanping YAN Bing research center of Resource and Environment Economics East China University of TechnologyNanchang 330013China Jiangxi Key Laboratory of Watershed ecological Process and Information East China University of TechnologyNanchang 330013China School of Surveying and Geoinformation engineering East China University of TechnologyNanchang 330013China Nanchang Key Laboratory of Landscape Process and Territorial Spatial ecological Restoration East China University of TechnologyNanchang 330013China Institute of Energy research Jiangxi Academy of SciencesNanchang 330096China

The Three-River Source Region(TRSR)in China holds a vital position and exhibits an irreplaceable strategic importance in ecological preservation at the national *** the basis of an in-depth study of the vegetation evolution in the TRSR from 2000 to 2022,we conducted a detailed analysis of the feedback mechanism of vegetation growth to climate change and human activity for different vegetation *** the growing season,the spatiotemporal variations of normalized difference vegetation index(NDVI)for different vegetation types in the TRSR were analyzed using the Moderate Resolution Imaging Spectroradiometer(MODIS)-NDVI data and meteorological data from 2000 to *** addition,the response characteristics of vegetation to temperature,precipitation,and human activity were assessed using trend analysis,partial correlation analysis,and residual *** indicated that,after in-depth research,from 2000 to 2022,the TRSR's average NDVI during the growing season was *** preliminary ranking of the average NDVI for different vegetation types was as follows:shrubland(0.5762)>forest(0.5443)>meadow(0.4219)>highland vegetation(0.2223)>steppe(0.2159).The NDVI during the growing season exhibited a fluctuating growth trend,with an average growth rate of 0.0018/10a(Panalysis revealed that climate change had a significant positive impact on the TRSR from 2000 to 2022,particularly in its

关键词： growing season normalized difference vegetation index(NDVI) highland vegetation trend analysis partial correlation analysis residual analysis contribution rate

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Impact of Different Rates of Nitrogen Supplementation on Soil PhysicochemicalProperties and Microbial Diversity in Goji Berry

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Phyton-International Journal of Experimental Botany 2024年第3期93卷 467-486页

作者： Xiaojie Liang Wei An Yuekun Li Yajun Wang Xiaoya Qin Yanhong Cui Shuchai Su State Key Laboratory of Efficient Production of Forest Resources The College of ForestryBeijing Forestry UniversityBeijing100083China national Wolfberry engineering research center Wolfberry Science Research InstituteNingxia Academy of Agriculture and Forestry SciencesYinchuan750002China

Goji berry(Lycium barbarum L.)is substantially dependent on nitrogen fertilizer application,which can signiﬁ-cantly enhance fruit yield and Goji berry industrial development in Ningxia,*** study aimed to analyze the functions of differential nitrogen application rates including low(N1),medium(N2),and high(N3)levels in soil microbial community structure(bacterial and fungal)at 2 diverse soil depths(0-20,20-40 cm)through high-throughput sequencing technology by targeting 16S RNA gene and ITS1&ITS2 *** the observed physicochemical parameters exhibited signiﬁcant improvement(p0.05)differences among three group treatments(N1,N2,and N3).Furthermore,the functional enrichment analysis demonstrated signiﬁcant(p<0.05)enrichment of quorum sensing,cysteine and methionine metabolism,and transcriptional machinery for bacterial communities,while various saprotrophic functional roles for fungal ***,moderately reducing the use of N-supplemented fertilizers is conducive to increasing soil nitrogen utilization rate,which can contribute to sustainable agriculture practices through improved soil quality,and microbial community structure and functions.

关键词： Goji berry production Ningxia,China differential nitrogen supplementation rates 16S RNA gene and IT1&IT2 region sequencing soil physicochemical properties

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A Comprehensive Systematic Review: Advancements in Skin Cancer Classification and Segmentation Using the ISIC dataset

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Computer Modeling in engineering & Sciences 2024年第9期140卷 2131-2164页

作者： Madiha Hameed Aneela Zameer Muhammad Asif Zahoor Raja Department of Computer Sciences Pakistan Institute of Engineering and Applied SciencesNilore50700Islamabad Future Technology research center National Yunlin University of Science and TechnologyDouliou64002Taiwan Directorate of IT Services University of GujratGujrat50700Pakistan

The International Skin Imaging Collaboration(ISIC)datasets are pivotal resources for researchers in machine learning for medical image analysis,especially in skin cancer *** datasets contain tens of thousands of dermoscopic photographs,each accompanied by gold-standard lesion diagnosis *** challenges associated with ISIC datasets have spurred significant advancements,with research papers reporting metrics surpassing those of human *** cancers are categorized into melanoma and non-melanoma types,with melanoma posing a greater threat due to its rapid potential for metastasis if left *** paper aims to address challenges in skin cancer detection via visual inspection and manual examination of skin lesion images,processes historically known for their *** notable advancements in machine learning and deep learning models,persistent challenges remain,largely due to the intricate nature of skin lesion *** review research on convolutional neural networks(CNNs)in skin cancer classification and segmentation,identifying issues like data duplication and augmentation *** explore the efficacy of Vision Transformers(ViTs)in overcoming these challenges within ISIC dataset *** leverage their capabilities to capture both global and local relationships within images,reducing data duplication and enhancing model ***,ViTs alleviate augmentation issues by effectively leveraging original *** a thorough examination of ViT-based methodologies,we illustrate their pivotal role in enhancing ISIC image classification and *** study offers valuable insights for researchers and practitioners looking to utilize ViTs for improved analysis of dermatological ***,this paper emphasizes the crucial role of mathematical and computational modeling processes in advancing skin cancer detection methodologies,highlighting their significance in improving algorithmic

关键词： Medical image skin cancer classification skin cancer segmentation international skin imaging collaboration convolutional neural network deep learning

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Toward Improved Accuracy in Quasi-Static Elastography Using Deep Learning

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Computer Modeling in engineering & Sciences 2024年第4期139卷 911-935页

作者： Yue Mei Jianwei Deng Dongmei Zhao Changjiang Xiao Tianhang Wang Li Dong Xuefeng Zhu Department of engineering Mechanics State Key Laboratory of Structural Analysis for Industrial EquipmentDalian University of TechnologyDalian116023China International research center for Computational Mechanics Dalian University of TechnologyDalian116023China DUT-BSU Joint Institute Dalian University of TechnologyDalian116023China Department of Automotive engineering Tongji UniversityShanghai201804China *** SeattleWA98109USA School of Automotive engineering Dalian University of TechnologyDalian116023China

Elastography is a non-invasive medical imaging technique to map the spatial variation of elastic properties of soft *** quality of reconstruction results in elastography is highly sensitive to the noise induced by imaging measurements and *** address this issue,we propose a deep learning(DL)model based on conditional Generative Adversarial Networks(cGANs)to improve the quality of nonhomogeneous shear modulus *** train this model,we generated a synthetic displacement field with finite element simulation under known nonhomogeneous shear modulus *** the simulated and experimental displacement fields are used to validate the proposed *** reconstructed results demonstrate that the DL model with synthetic training data is able to improve the quality of the reconstruction compared with the well-established optimization ***,we emphasize that our DL model is only trained on synthetic *** might provide a way to alleviate the challenge of obtaining clinical or experimental data in ***,this work addresses several fatal issues in applying the DL technique into elastography,and the proposed method has shown great potential in improving the accuracy of the disease diagnosis in clinical medicine.

关键词： Nonhomogeneous elastic property distribution reconstruction deep learning finite element method inverse problem elastography conditional generative adversarial network

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Gradient sparsification for efficient wireless federated learning with differential privacy

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Science China(Information Sciences) 2024年第4期67卷 272-288页

作者： Kang WEI Jun LI Chuan MA Ming DING Feng SHU Haitao ZHAO Wen CHEN Hongbo ZHU School of Electronic and Optical engineering Nanjing University of Science and Technology Zhejiang Lab Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of Education data61 Commonwealth Scientific and Industrial Research Organisation School of Information and Communication engineering Hainan University School of Communications and Information engineering Nanjing University of Posts and Telecommunications School of Electronic Information and Electrical engineering Shanghai Jiao Tong University

Federated learning(FL) enables distributed clients to collaboratively train a machine learning model without sharing raw data with each other. However, it suffers from the leakage of private information from uploading models. In addition, as the model size grows, the training latency increases due to the limited transmission bandwidth and model performance degradation while using differential privacy(DP)protection. In this paper, we propose a gradient sparsification empowered FL framework with DP over wireless channels, to improve training efficiency without sacrificing convergence performance. Specifically, we first design a random sparsification algorithm to retain a fraction of the gradient elements in each client’s local model, thereby mitigating the performance degradation induced by DP and reducing the number of transmission parameters over wireless channels. Then, we analyze the convergence bound of the proposed algorithm, by modeling a non-convex FL problem. Next, we formulate a time-sequential stochastic optimization problem for minimizing the developed convergence bound, under the constraints of transmit power, the average transmitting delay, as well as the client’s DP requirement. Utilizing the Lyapunov drift-plus-penalty framework, we develop an analytical solution to the optimization problem. Extensive experiments have been implemented on three real-life datasets to demonstrate the effectiveness of our proposed algorithm. We show that our proposed algorithms can fully exploit the interworking between communication and computation to outperform the baselines, i.e., random scheduling, round robin, and delay-minimization algorithms.

关键词： federated learning differential privacy gradient sparsification Lyapunov drift convergence analysis

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research and application of Joint Interpretation Using P-Wave and PS-Wave in Tight Gas Exploration

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Journal of Earth Science 2024年第4期35卷 1402-1406页

作者： Dong Wang Meng Zhang Jing Wang Dan Chen Yao Zhao Jing Bai BGPInc. China National Petroleum CorporationZhuozhou 072751China Institute of Geophysics Chengdu University of TechnologyChengdu 610059China national engineering research center of Oil and Gas Exploration Computer Software Zhuozhou 072751China

The exploration and development of tight sandstone gas reservoirs are controlled by high-quality river channel sand bodies on a large scale in Sichuan *** order to improve the accu-racy of sand body prediction and characterization,Multi-component exploration technology research has been carried out in Northwest Sichuan ***,based on the array acoustic logging data,a for-ward modeling has been established to analyze the seismic response characteristics of the PS-wave data and P-wave *** result shows that the response characteristics of the P-wave and PS-wave to the sand bodies with different impedance are *** then through the analysis of logging data,the effectiveness of the forward modeling has been *** the sandstone velocity is close to the sur-rounding rocks,the P-wave performs as a weak reflection,which may lead to reduce the identification range of the sand ***,the PS-wave exhibits strong reflection,which can identify this type of sand ***,by comparing and explaining the PS-wave data and P-wave data,and integrat-ing their attributes,the prediction accuracy of sand bodies is *** with the interpreta-tion of a single P-wave,the results can significantly expand the distribution range of sand bodies,lay-ing a foundation for improving the production capacity of single wells and reserve submission.

关键词： multi-component exploration tight gas sand body identification

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Risk Constrained Self-scheduling of AA-CAES Facilities in Electricity and Heat Markets:A Distributionally Robust Optimization Approach

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1159-1167页

作者： Zhiao Li Laijun Chen Wei Wei Shengwei Mei Department of Electrical engineering Tsinghua UniversityBeijing 100084China New Energy(Photovoltaic)Industry research center Qinghai UniversityXining 810016China IEEE

Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage technology in a low-carbon *** appropriate self-scheduling model can guarantee AA-CAES’s profit and attract ***,very few studies refer to the cogeneration ability of AA-CAES,which enables the possibility to trade in the electricity and heat markets at the same *** this paper,we propose a multimarket self-scheduling model to make full use of heat produced in *** volatile market price is modeled by a set of inexact distributions based on historical data through-***,the self-scheduling model is cast as a robust risk constrained program by introducing Stackelberg game theory,and equivalently reformulated as a mixed-integer linear program(MILP).The numerical simulation results validate the proposed method and demonstrate that participating in multienergy markets increases overall *** impact of uncertainty parameters is also discussed in the sensibility analysis.

关键词： Advanced adiabatic compressed air energy storage(AA-CAES) conditional value at risk(CVaR) distributionally robust optimization(DRO) heat market self-scheduling Stackelberg game

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Enhancing the peroxidase-like activity of MoS_(2)-based nanozymes by introducing attapulgite for antibacterial application and sensitive detection of glutathione

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Nano research 2024年第8期17卷 7415-7426页

作者： Feng Feng Yihe Zhang Xiao Zhang Bin Mu Jiahe Zhang Wenjie Qu Wangshu Tong Minmin Liang Qi An Zhanjun Guo Lu Zhao engineering research center of Ministry of Education for Geological Carbon Storage and Low Carbon Utilization of Resources Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid WastesNational Laboratory of Mineral MaterialsSchool of Materials Science and TechnologyChina University of Geosciences(Beijing)Beijing 100083China Key Laboratory of Clay Mineral Applied research of Gansu Province Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China Experimental center of Advanced Materials School of Materials Science and engineering School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China

Nanozymes are next-generation of nanomaterials with enzyme-like *** particular,nanozymes with peroxidase(POD)-like activity have been utilized in various fields,including antibacterial,detection,degradation,***,their extensive applications were limited by their low catalytic activity ***,we have presented a composite nanozyme based on attapulgite(ATP)(Fe-ATP-MoS_(2)(FAM)),which exhibited enhanced POD-like activity(185.33 U·mg^(−1)),4.25 times higher than that of Fe-MoS_(2)(FM)(43.63 U·mg^(−1)).The density functional theory(DFT)calculations indicated that the addition of ATP increased the electron density of metal centers(Mo and Fe).More importantly,Michaelis–Menten kinetics revealed that the introduction of ATP significantly enhanced the binding affinities of substrates through the pores of ATP,forming a highly concentrated substrate microenvironment and thus promoting its POD-like ***,from molecular size and kinetic analysis,we proposed that the changes in substrate size before and after oxidation also significantly affected its Michaelis-constant(Km)***,we utilized FAM in the applications of highly effective antibacterial application and sensitive detection of glutathione(GSH).In conclusion,this work provides a novel approach for designing a highly efficient nanozyme based on natural mineral composites.

关键词： attapulgite peroxidase electron density affinity antibacterial

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Differences in Precipitation and Related Wind Dynamics and Moisture and Heat Features in Separate Areas of the South China Sea before and after Summer Monsoon Onset

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Advances in Atmospheric Sciences 2024年第8期41卷 1643-1660页

作者： Chunyan ZHANG Donghai WANG Kaifeng ZHANG Wanwen HE Yanping ZHENG Yan XU Guangdong Meteorological data center Guangdong Meteorological BureauGuangzhou 510640China School of Atmospheric Sciences Sun Yat-sen UniversityGuangdong Province Key Laboratory for Climate Change and Natural Disaster StudiesKey Laboratory of Tropical Atmosphere-Ocean SystemMinistry of EducationZhuhai 519082China Southern Marine Science and engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China national Observation and research Station of Coastal ecological Environments in Macao Macao Environmental Research InstituteMacao University of Science and TechnologyMacao SAR 999078China Foshan Meteorological Service Foshan 528000China Ningjiang District Meteorological Bureau Songyuan 138000China

Using surface and balloon-sounding measurements, satellite retrievals, and ERA5 reanalysis during 2011–20, this study compares the precipitation and related wind dynamics, moisture and heat features in different areas of the South China Sea(SCS) before and after SCS summer monsoon onset(SCSSMO). The rainy sea around Dongsha(hereafter simply referred to as Dongsha) near the north coast, and the rainless sea around Xisha(hereafter simply referred to as Xisha) in the western SCS, are selected as two typical research subregions. It is found that Dongsha, rather than Xisha, has an earlier and greater increase in precipitation after SCSSMO under the combined effect of strong low-level southwesterly winds, coastal terrain blocking and lifting, and northern cold air. When the 950-h Pa southwesterly winds enhance and advance northward, accompanied by strengthened moisture flux, there is a strong convergence of wind and moisture in Dongsha due to a sudden deceleration and rear-end collision of wind by coastal terrain blocking. Moist and warm advection over Dongsha enhances early and deepens up to 200 h Pa in association with the strengthened upward motion after SCSSMO, thereby providing ample moisture and heat to form strong precipitation. However, when the 950-h Pa southwesterly winds weaken and retreat southward, Xisha is located in a wind-break area where strong convergence and upward motion centers move in. The vertical moistening and heating by advection in Xisha enhance later and appear far weaker compared to that in Dongsha, consistent with later and weaker precipitation.

关键词： Dongsha Xisha South China Sea summer monsoon onset precipitation wind dynamics moisture heat

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Patient satisfaction and follow-up adherence to glaucoma case management clinic in China

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International Journal of Ophthalmology(English edition) 2024年第1期17卷 73-81页

作者： Hao Lin Hu-Jie Lu Wen-Zhe Zhou Shu-Shu Zuo Yan-Yan Chen Shao-Dan Zhang national Clinical research center for Ocular Diseases Eye HospitalWenzhou Medical UniversityWenzhou 325027Zhejiang ProvinceChina School of Ophthalmology and Optometry Biomedical EngineeringWenzhou Medical UniversityWenzhou 325027Zhejiang ProvinceChina

AIM:To assess glaucoma patient satisfaction and follow-up adherence in case management and identify associated predictors to improve healthcare quality and patient ***:In this cross-sectional study,a total of 119 patients completed a Patient Satisfaction Questionnaire-18 and a sociodemographic *** data was obtained from the case management ***-up adherence was defined as completing each follow-up within±30d of the scheduled time set by ophthalmologists during the study ***:Average satisfaction scored 78.65±7,with an average of 4.39±0.58 across the seven *** negatively correlated with satisfaction(P=0.008),whilst patients with follow-up duration of 2 or more years reported higher satisfaction(P=0.045).Multivariate logistics regression analysis revealed that longer follow-up durations were associated with lower follow-up adherence(OR=0.97,95%CI,0.95-1.00,P=0.044).Additionally,patients with suspected glaucoma(OR=2.72,95%CI,1.03-7.20,P=0.044)and those with an annual income over 100000 Chinese yuan demonstrated higher adherence(OR=5.57,95%CI,1.00-30.89,P=0.049).CONCLUSION:The case management model proves effective for glaucoma patients,with positive adherence *** implementation of this model can be optimized in the future based on the identified factors and extended to glaucoma patients in more hospitals.

关键词： glaucoma patient satisfaction follow-up adherence case management

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