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Trend of Storm Surge Induced by Typical Landfall Super Typhoons During 1975–2021 in the Eastern China Sea

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Journal of Ocean University of China 2024年第2期23卷 277-286页

作者： luo feng WANG yi TAO Aifeng SHI Jian WANG Yongzhi ZHANG Chi College of Harbour Coastal and Offshore EngineeringHohai UniversityNanjing 210098China Nantong Ocean and Coastal Engineering Research Institute Hohai UniversityNantong 226000China Key Laboratory of Ministry of Education for Coastal Disaster and Protection Hohai UniversityNanjing 210098China College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China The First Institute of Oceanography MNRQingdao 266061China

Climate change affects the activity of global and regional tropical cyclones(TCs).Among all TCs,typical super typhoons(STYs)are particularly devastating because they maintain their intensity when landing on the coast and thus cause casualties,economic losses,and environmental *** a 3D tidal model,we reconstructed the typhoon(TY)wind field to simulate the storm surge induced by typical *** TY activity was then analyzed using historical *** showed a downtrend of varying degrees in the annual frequency of STYs and TCs in the Western North Pacific(WNP)Basin,with a significant trend change observed for TCs from 1949 to 2021.A large difference in the interannual change in frequency was found between STYs and TCs in the WNP and Eastern China Sea(ECS).Along the coast of EC,the frequency of landfall TCs showed a weak downtrend,and the typical STYs showed reverse micro growth with peak activity in ***,Fujian,and Taiwan were highly vulnerable to the frontal hits of typical *** by climate change,the average lifetime maximum intensity(LMI)locations and landfall locations of typical STYs in the ECS basin showed a significant poleward migration *** addition,the annual average LMI and accumulated cyclone energy showed an uptrend,indicating the increasing severity of the disaster *** by the typical STY activity in the ECS,the maximum storm surge area also showed poleward migration,and the coast of North China faced potential growth in high storm surge risks.

关键词： storm surge super typhoons tropical cyclones eastern China Sea poleward migration

Binary Hybrid Artificial Hummingbird with Flower Pollination Algorithm for Feature Selection in Parkinson’s Disease Diagnosis

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Journal of Bionic Engineering 2024年第2期21卷 1003-1021页

作者： Liuyan feng Yongquan Zhou Qifang luo College of Artificial Intelligence Guangxi University for NationalitiesNanning530006China Xiangsihu College of Guangxi University for Nationalities Nanning532100GuangxiChina Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning530006China

Parkinson’s disease is a neurodegenerative disorder that inflicts irreversible damage on *** experimental data regarding Parkinson’s patients are redundant and irrelevant,posing significant challenges for disease ***,there is a need to devise an effective method for the selective extraction of disease-specific information,ensuring both accuracy and the utilization of fewer *** this paper,a Binary Hybrid Artificial Hummingbird and Flower Pollination Algorithm(FPA),called BFAHA,is proposed to solve the problem of Parkinson’s disease diagnosis based on speech ***,combining FPA with Artificial Hummingbird Algorithm(AHA)can take advantage of the strong global exploration ability possessed by FPA to improve the disadvantages of AHA,such as premature convergence and easy falling into local ***,the Hemming distance is used to determine the difference between the other individuals in the population and the optimal individual after each iteration,if the difference is too significant,the cross-mutation strategy in the genetic algorithm(GA)is used to induce the population individuals to keep approaching the optimal individual in the random search process to speed up finding the optimal ***,an S-shaped function converts the improved algorithm into a binary version to suit the characteristics of the feature selection(FS)*** this paper,10 high-dimensional datasets from UCI and the ASU are used to test the performance of BFAHA and apply it to Parkinson’s disease *** with other state-of-the-art algorithms,BFAHA shows excellent competitiveness in both the test datasets and the classification problem,indicating that the algorithm proposed in this study has apparent advantages in the field of feature selection.

关键词： Artificial Hummingbird Algorithm Flower pollination algorithm Feature selection Parkinson’s disease Meta-heuristic

Present situation of minimally invasive surgical treatment for early gastric cancer

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World Journal of Gastrointestinal Oncology 2024年第4期16卷 1154-1165页

作者： Chun-Yan Li yi-feng Wang Li-Kang luo Xiao-Jun Yang The First Clinical Medical School Lanzhou UniversityLanzhou 730000Gansu ProvinceChina The First Clinical Medicine College Gansu University of Chinese MedicineLanzhou 730000Gansu ProvinceChina General Surgery Clinical Centre Gansu Provincial HospitalLanzhou 730000Gansu ProvinceChina The Second Department of General Surgery Gansu Provincial HospitalLanzhou 730000Gansu ProvinceChina Lanzhou University People's Clinical Hospital Lanzhou 730000Gansu ProvinceChina Gansu Research Center of Prevention and Control Project for Digestive Oncology Gansu Provincial HospitalLanzhou 730000Gansu ProvinceChina Gansu Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology Gansu Provincial HospitalLanzhou 730000Gansu ProvinceChina

Minimally invasive surgery is a kind of surgical operation,which is performed by using professional surgical instruments and equipment to inactivate,resect,repair or reconstruct the pathological changes,deformities and wounds in human body through micro-trauma or micro-approach,in order to achieve the goal of treatment,its surgical effect is equivalent to the traditional open surgery,while avoiding the morbidity of conventional surgical *** addition,it also has the advantages of less trauma,less blood loss during operation,less psychological burden and quick recovery on patients,and these minimally invasive techniques provide unique value for the examination and treatment of gastric cancer *** minimally invasive surgical techniques have developed rapidly and offer numerous options for the treatment of early gastric cancer(EGC):endoscopic mucosal resection(EMR),underwater EMR(UEMR),endoscopic submucosal dissection(ESD),endoscopic full-thickness resection(EFTR),endoscopic submu-cosal excavation(ESE),submucosal tunnel endoscopic resection,laparoscopic and endoscopic cooperative surgery(LECS);Among them,EMR,EFTR and LECS technologies have a wide range of applications and different modific-ations have been derived from their respective surgical operations,such as band-assisted EMR(BA-EMR),conven-tional EMR(CEMR),over-the-scope clip-assisted EFTR,no-touch EFTR,the inverted LECS,closed LECS,and so *** new and improved minimally invasive surgeries are more precise,specific and effective in treating different types of EGC.

关键词： Minimally invasive surgery Early gastric cancer Endoscopic mucosal resection Endoscopic full-thickness resection Laparoscopic and endoscopic cooperative surgery

Short-time maritime target detection based on polarization scattering characteristics

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Journal of Systems Engineering and Electronics 2024年第1期35卷 55-64页

作者： CHEN Shichao luo feng TIAN Min LYU Wanghan College of Computer and Information Engineering(College of Artificial Intelligence) Nanjing Tech UniversityNanjing 211816China Hangzhou Institute of Technology Xidian UniversityHangzhou 311200China

In this paper,a detection method combining Cameron decomposition based on polarization scattering characteristics in sea clutter background is ***,the Cameron decomposition is exploited to fuse the radar echoes of full polarization channels at the data *** to the artificial material structure on the surface of the target,it can be shown that the non-reciprocity of the target cell is stronger than that of the clutter ***,based on the analysis of the decomposition results,a new feature with scattering geometry characteristics in polarization domain,denoted as Cameron polarization decomposition scattering weight(CPD-SW),is extracted as the test statistic,which can achieve more detailed descriptions of the clutter scattering characteristics utilizing the difference between their scattering ***,the superiority of the proposed CPD-SW detector over traditional detectors in improving detection performance is verified by the IPIX measured dataset,which has strong stability under short-time observation in threshold detection and can also improve the separability of feature space zin anomaly detection.

关键词： sea clutter small target radar detection Cameron decomposition characteristics analysis

AWells-Riley/based COVID-19 infectiousrisk assessment model combining both short rangeandroom scale effects

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Building Simulation 2024年第1期17卷 93-111页

作者： yinshuai feng yifan Fan Xiaoyu luo Jian Ge College of Civil Engineering and Architecture Zhejiang UniversityHangzhouChina Center for Balance Architecture Zhejiang UniversityHangzhouChina International Research Center for Green Building and Low-Carbon City International CampusZhejiang UniversityHainingChina

There is growing evidence of the high transmission potential of COVID-19 through virus-laden *** aerosols are inhaled in various concentrations,an overall assessment of transmission risks at different indoor scales is ***,a comprehensive risk assessment method that evaluates the direct link between short-range and room-scale zones is stl *** this paper,a risk assessment model combining both short-range and room-scale effects is developed to obtain effective reproduction number in confined indoor environments,called Turbulent Jet Wells Riley(TJWR)*** with the viral load data and aerosol generation data of different human respiratory activities,the Monte Carlo simulation method is applied to calculate the quanta emission rate,which further provides the input parameters of the TJWR *** known outbreaks(Hangzhou banquet hall X,Guangzhou restaurant Y,and Hong Kong restaurant Z,China)are chosen to validate the TJWR *** show that the TJWR model is more efficient than the original Wells-Riley *** average relative error of the TJWR model ranges between 9%and 44%,while for the Wells-Riley model,it ranges between 57%and 78%.The TJWR model also proves that infection risk assessments using the well-mixed assumption can systematically underestimate the transmission risk for those close to the ***,there is a significant positive linear correlation between the total number of exposed individuals at the short-range and the effective reproduction *** newly developed TJWR model has great potential for rapid and real-time overall airborne transmission risk assessment in buildings and cities.

关键词： COVID-19 airborne transmission infection risk Wells-Riley model Monte Carlo simulation

Multicomponent remote C（sp2）–H bond addition by Ru catalysis:An efficient access to the alkylarylation of 2H-imidazoles

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Chinese Chemical Letters 2024年第10期35卷 283-287页

作者： yi luo Lin Dong Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology West China School of Pharmacy Sichuan University

Sequential C–H bond addition with two different coupling partners is a powerful method for the rapid and modular construction of complex molecules based on simple starting materials. Herein, an efficient ruthenium-catalysed multicomponent long-range C–H functionalization of 2H-imidazoles was *** protocol showed good substrate suitability and yielded alkyl arylation products with potential biological activity.

关键词： Remote C-H functionalization Multi-component reaction Ruthenium catalysis 2H-Imidazoles FUNCTIONALIZATION CONSTRUCTION IMIDAZOLE

Novel damage constitutive models and new quantitative identification method for stress thresholds of rocks under uniaxial compression

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Journal of Central South University 2024年第8期31卷 2658-2675页

作者： Du, Kun yi, Yang luo, Xin-yao Liu, Kai Li, Peng Wang, Shao-feng School of Resources and Safety Engineering Central South University Changsha China Zhongnan Engineering Corporation Limited Power Construction Corporation of China Changsha China

Four key stress thresholds exist in the compression process of rocks, i. e., crack closure stress (σcc), crack initiation stress (σci), crack damage stress (σcd) and compressive strength (σc). The quantitative identifications of the first three stress thresholds are of great significance for characterizing the microcrack growth and damage evolution of rocks under compression. In this paper, a new method based on damage constitutive model is proposed to quantitatively measure the stress thresholds of rocks. Firstly, two different damage constitutive models were constructed based on acoustic emission (AE) counts and Weibull distribution function considering the compaction stages of the rock and the bearing capacity of the damage element. Then, the accumulative AE counts method (ACLM), AE count rate method (CRM) and constitutive model method (CMM) were introduced to determine the stress thresholds of rocks. Finally, the stress thresholds of 9 different rocks were identified by ACLM, CRM, and CMM. The results show that the theoretical stress - strain curves obtained from the two damage constitutive models are in good agreement with that of the experimental data, and the differences between the two damage constitutive models mainly come from the evolutionary differences of the damage variables. The results of the stress thresholds identified by the CMM are in good agreement with those identified by the AE methods, i.e., ACLM and CRM. Therefore, the proposed CMM can be used to determine the stress thresholds of rocks.

关键词： stress threshold acoustic emission damage constitutive model damage element quantitative method

Plant-derived nanovesicles as an emerging platform for cancer therapy

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Acta Pharmaceutica Sinica B 2024年第1期14卷 133-154页

作者： Hanzhe Liu Guo-feng luo Zhengjun Shang The State Key Laboratory Breeding Base of Basic Science of Stomatology(Hubei-MOST)&Key Laboratory of Oral Biomedicine Ministry of Education School and Hospital of StomatologyWuhan UniversityWuhan 430079China

Plant-derived nanovesicles(PDNVs)derived from natural green products have emerged as an attractive nanoplatform in biomedical *** are usually characterized by unique structural and biological functions,such as the bioactive lipids/proteins/nucleic acids as therapeutics and targeting groups,immune-modulation,and long-term *** the rapid development of nanotechnology,materials,and synthetic chemistry,PDNVs can be engineered with multiple functions for efficient drug delivery and specific killing of diseased cells,which represent an innovative biomaterial with high biocompatibility for fighting against *** this review,we provide an overview of the state-of-theart studies concerning the development of PDNVs for cancer *** original sources,methods for obtaining PDNVs,composition and structure are introduced *** an emphasis on the featured application,the inherent anticancer properties of PDNVs as well as the strategies in constructing multifunctional PDNVs-based nanomaterials will be discussed in ***,some scientific issues and technical challenges of PDNVs as promising options in improving anticancer therapy will be discussed,which are expected to promote the further development of PDNVs in clinical translation.

关键词： Naturally occurring nanovesicles Plant Nanotechnology Drug delivery Cancer therapy

Automated Vulnerability Detection of Blockchain Smart Contacts Based on BERT Artificial Intelligent Model

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China Communications 2024年第7期21卷 237-251页

作者： feng yiting Ma Zhaofeng Duan Pengfei luo Shoushan School of Cyberspace Security Beijing University of Posts and TelecommunicationsBeijing 100876China

The widespread adoption of blockchain technology has led to the exploration of its numerous applications in various *** algorithms and smart contracts are critical components of blockchain *** the benefits of virtual currency,vulnerabilities in smart contracts have resulted in substantial losses to *** researchers have identified these vulnerabilities and developed tools for detecting them,the accuracy of these tools is still far from satisfactory,with high false positive and false negative *** this paper,we propose a new method for detecting vulnerabilities in smart contracts using the BERT pre-training model,which can quickly and effectively process and detect smart *** specifically,we preprocess and make symbol substitution in the contract,which can make the pre-training model better obtain contract *** evaluate our method on four datasets and compare its performance with other deep learning models and vulnerability detection tools,demonstrating its superior accuracy.

关键词： BERT blockchain smart contract vulnerability detection