Sweet potatoes are significant cash crops,however,their yield and quality are greatly compromised by viral diseases.In this study,the complete genomic sequences of two Sweet Potato Virus 2(SPV2)isolates from infected ...Sweet potatoes are significant cash crops,however,their yield and quality are greatly compromised by viral diseases.In this study,the complete genomic sequences of two Sweet Potato Virus 2(SPV2)isolates from infected sweet potato leaves in the Shandong(designated as SPV2-SDYT,GenBank No.PQ855660.1)and Jiangsu(designated as SPV2-JSXZ,GenBank No.PQ855661.1)provinces in China were obtained using 5′RACE and RT-PCR amplification.Consistency,phylogeny,codon usage bias,recombination,and selection pressure analyses were conducted using the SPV2-SDYT and SPV2-JSXZ genome sequences.The complete genome sequences of SPV2-SDYT and SPV2-JSXZ were 10561 nucleotides(nt)in length,with respective nucleotide and amino acid identities of 99.25%and 99.12%,respectively.Both isolates were closely related to the SPV2 isolate from China(SPV2-LN).In both SPV2-SDYT and SPV2-JSXZ,the identity of the P1 protein was the highest,whereas that of the P3 protein was the lowest.There were 26 codons with relatively synonymous codon usage(RSCU)values greater than 1 in SPV2-SDYT and 27 codons with RSCU values greater than 1 in SPV2-JSXZ.High-frequency codons in their genomes were predominantly found to end with A/U.Recombination analysis revealed no major recombination sites in either SPV2-SDYT or SPV2-JSXZ.Further selection pressure analysis showed that the non-synonymous substitution rate/synonymous substitution rate(dN/dS)value of all 10 SPV2 proteins was less than 1.This is the first report on the evolutionary relationships of the 17 known SPV2 isolates.Our findings lay the molecular groundwork for preventing and controlling SPV2 infection in root-tuber crops.These findings also contribute to our understanding of the spread and evolution of SPV2,its pathogenic mechanisms,and the development of antiviral strategies against it.展开更多
Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through s...Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through systematic analysis of 150 peer-reviewed studies employing mixed-methods research,this review yields three principal advancements to the reliability analysis of AUVs.First,based on the hierarchical functional division of AUVs into six subsystems(propulsion system,navigation system,communication system,power system,environmental detection system,and emergency system),this study systematically identifies the primary failure modes and potential failure causes of each subsystem,providing theoretical support for fault diagnosis and reliability optimization.Subsequently,a comprehensive review of AUV reliability analysis methods is conducted from three perspectives:analytical methods,simulated methods,and surrogate model methods.The applicability and limitations of each method are critically analyzed to offer insights into their suitability for engineering applications.Finally,the study highlights key challenges and research hotpots in AUV reliability analysis,including reliability analysis under limited data,AI-driven reliability analysis,and human reliability analysis.Furthermore,the potential of multi-sensor data fusion,edge computing,and advanced materials in enhancing AUV environmental adaptability and reliability is explored.展开更多
Wide-band oscillations have become a significant issue limiting the development of wind power.Both large-signal and small-signal analyses require extensive model derivation.Moreover,the large number and high order of ...Wide-band oscillations have become a significant issue limiting the development of wind power.Both large-signal and small-signal analyses require extensive model derivation.Moreover,the large number and high order of wind turbines have driven the development of simplified models,whose applicability remains controversial.In this paper,a wide-band oscillation analysis method based on the average-value model(AVM)is proposed for wind farms(WFs).A novel linearization analysis framework is developed,leveraging the continuous-time characteristics of the AVM and MATLAB/Simulink’s built-in linearization tools.This significantly reduces modeling complexity and computational costs while maintaining model fidelity.Additionally,an object-based initial value estimation method of state variables is introduced,which,when combined with steady-state point-solving tools,greatly reduces the computational effort required for equilibrium point solving in batch linearization analysis.The proposed method is validated in both doubly fed induction generator(DFIG)-based and permanent magnet synchronous generator(PMSG)-based WFs.Furthermore,a comprehensive analysis is conducted for the first time to examine the impact of the machine-side system on the system stability of the nonfully controlled PMSG-based WF.展开更多
The SKP1 gene is an important component of the SCF(SKP1-Cullin1-F-box)complex and serves as a bridge connecting the F-box and Cullin1genes(F-box-SKP1-Cullin1).The pattern of S-RNase being ubiquitously labelled by the ...The SKP1 gene is an important component of the SCF(SKP1-Cullin1-F-box)complex and serves as a bridge connecting the F-box and Cullin1genes(F-box-SKP1-Cullin1).The pattern of S-RNase being ubiquitously labelled by the SCF complex and degraded by the 26S protease accounts for the bulk of the available self-incompatibility studies.In this study,15 ClSKP1s from the‘Xiangshui'lemon genome and ubiquitome exist in the same SKP1 conserved domain(CD)as SKP1s in other species.The q PCR results showed that SKP1-6 and SKP1-14 have tissue expression patterns specific for expression in pollen.In addition,SKP1-6 and SKP1-14 in the stigma,style and ovary were significantly upregulated after self-pollination compared to those after cross-pollination.A subcellular location showed that SKP1-6 and SKP1-14 were located in the nucleus.In addition,yeast two-hybrid(Y2H)assays,bimolecular fluorescence complementation(BiFC)and luciferase complementation imaging(LCI)assays showed that SKP1-6 interacted with F-box1,F-box33,F-box34,F-box17,F-box19,Cullin1-2 and 26S proteasome subunit 4 homolog A(26S PS4HA).SKP1-14 interacted with F-box17,F-box19,F-box35,Cullin1-2 and 26S PS4HA.The interaction of Cullin1-2 and the F-box with SKP1 as a bridge was verified by a yeast three-hybrid experiment.The ability of S3-RNase to inhibit pollen and pollen tube growth and development was assessed using in vitro pollen co-culture experiments with recombinant S3-RNase proteins.Overall,this study provides important experimental evidence and theoretical basis for understanding the mechanism of self-incompatibility in plants by revealing the key role of the SCF complex in‘Xiangshui'lemon,which is bridged by ClSKP1-6,in self-incompatibility.The results of this study are of great significance for the future indepth exploration of the molecular mechanism of the SCF complex and its wide application in the self-incompatibility of plants.展开更多
As a means of quantitative interpretation,forward calculations of the global lithospheric magnetic field in the Spherical Harmonic(SH)domain have been widely used to reveal geophysical,lithological,and geothermal vari...As a means of quantitative interpretation,forward calculations of the global lithospheric magnetic field in the Spherical Harmonic(SH)domain have been widely used to reveal geophysical,lithological,and geothermal variations in the lithosphere.Traditional approaches either do not consider the non-axial dipolar terms of the inducing field and its radial variation or do so by means of complicated formulae.Moreover,existing methods treat the magnetic lithosphere either as an infinitesimally thin layer or as a radially uniform spherical shell of constant thickness.Here,we present alternative forward formulae that account for an arbitrarily high maximum degree of the inducing field and for a magnetic lithosphere of variable thickness.Our simulations based on these formulae suggest that the satellite magnetic anomaly field is sensitive to the non-axial dipolar terms of the inducing field but not to its radial variation.Therefore,in forward and inverse calculations of satellite magnetic anomaly data,the non-axial dipolar terms of the inducing field should not be ignored.Furthermore,our results show that the satellite magnetic anomaly field is sensitive to variability in the lateral thickness of the magnetized shell.In particular,we show that for a given vertically integrated susceptibility distribution,underestimating the thickness of the magnetic layer overestimates the induced magnetic field.This discovery bridges the greatest part of the alleged gap between the susceptibility values measured from rock samples and the susceptibility values required to match the observed magnetic field signal.We expect the formulae and conclusions of this study to be a valuable tool for the quantitative interpretation of the Earth's global lithospheric magnetic field,through an inverse or forward modelling approach.展开更多
Joint Multimodal Aspect-based Sentiment Analysis(JMASA)is a significant task in the research of multimodal fine-grained sentiment analysis,which combines two subtasks:Multimodal Aspect Term Extraction(MATE)and Multimo...Joint Multimodal Aspect-based Sentiment Analysis(JMASA)is a significant task in the research of multimodal fine-grained sentiment analysis,which combines two subtasks:Multimodal Aspect Term Extraction(MATE)and Multimodal Aspect-oriented Sentiment Classification(MASC).Currently,most existing models for JMASA only perform text and image feature encoding from a basic level,but often neglect the in-depth analysis of unimodal intrinsic features,which may lead to the low accuracy of aspect term extraction and the poor ability of sentiment prediction due to the insufficient learning of intra-modal features.Given this problem,we propose a Text-Image Feature Fine-grained Learning(TIFFL)model for JMASA.First,we construct an enhanced adjacency matrix of word dependencies and adopt graph convolutional network to learn the syntactic structure features for text,which addresses the context interference problem of identifying different aspect terms.Then,the adjective-noun pairs extracted from image are introduced to enable the semantic representation of visual features more intuitive,which addresses the ambiguous semantic extraction problem during image feature learning.Thereby,the model performance of aspect term extraction and sentiment polarity prediction can be further optimized and enhanced.Experiments on two Twitter benchmark datasets demonstrate that TIFFL achieves competitive results for JMASA,MATE and MASC,thus validating the effectiveness of our proposed methods.展开更多
Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emp...Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emphasis on structural durability and monitoring is required.This study focuses on the mechanical vibrations that occur in rotary drilling systems,which have a substantial impact on the structural integrity of drilling equipment.The study specifically investigates axial,torsional,and lateral vibrations,which might lead to negative consequences such as bit-bounce,chaotic whirling,and high-frequency stick-slip.These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time.The study investigates the dynamic interactions of these vibrations,specifically in their high-frequency modes,usingfield data obtained from measurement while drilling.Thefindings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys-tem performance.The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems.Therefore,integrating these compo-nents can increase the durability of drill bits and drill strings,as well as improve the ability to monitor and detect damage.Moreover,by exploiting thesefindings,the assessment of structural resilience in rotary drilling systems can be enhanced.Furthermore,the study demonstrates the capacity of structural health monitoring to improve the quality,dependability,and efficiency of rotary drilling systems in the petroleum industry.展开更多
Background:Three-dimensional(3D)printing has revolutionized craniofacial and craniomaxillofacial applications,leading to substantial advancements in patient-specific treatments.In this study,a bibliometric analysis wa...Background:Three-dimensional(3D)printing has revolutionized craniofacial and craniomaxillofacial applications,leading to substantial advancements in patient-specific treatments.In this study,a bibliometric analysis was performed to identify the key contributors,research trends,thematic developments,and collaboration networks in this evolving field.Methods:Two search strategies were employed to ensure a comprehensive analysis:(1)a broad search,in which selected keywords were searched in the title,abstract,and keyword fields to capture all relevant publications,and(2)a title-specific search,in which keywords were restricted to the title field to identify publications with a strong focus on 3D printing in craniofacial and craniomaxillofacial applications.The retrieved dataset was analyzed using VOSviewer and RStudio(bibliometrix package).Results:The broad search retrieved 3534 publications,whereas the title-specific search yielded 280 publications.The analysis of these 280 papers focused on identifying the top authors,universities,and countries,as well as their research dynamics and collaboration networks.A more detailed approach was adopted by examining the titles of these 280 papers.VOSviewer segmented the titles into approximately 800 words,which were then categorized into 18 distinct thematic groups to represent research trends.The focus areas of the ten most cited papers were also analyzed.Conclusion:This bibliometric study provides valuable insights into the progress in 3D printing for craniofacial and craniomaxillofacial applications.By highlighting the key contributors,thematic developments,and collaborative networks,this study offers a foundation for future research in this rapidly advancing field.展开更多
Dear Editor,We read with a great interest the recently published systematic review by Shamsikhani and Hosseini titled,“Foot reflexology on nausea and vomiting:A systematic review.”[1]While the authors provided a com...Dear Editor,We read with a great interest the recently published systematic review by Shamsikhani and Hosseini titled,“Foot reflexology on nausea and vomiting:A systematic review.”[1]While the authors provided a comprehensive qualitative synthesis of six studies meeting their inclusion criteria,we believe that additional quantitative analysis would strengthen the evidence base for foot reflexology in managing nausea and vomiting.We conducted a complementary meta-analysis to provide quantitative evidence supporting the qualitative findings presented in the systematic review.展开更多
Background:In recent years,the increase of pollen allergy encourages people to do a lot of research on the disease.This paper conducted a bibliometric study on pollen allergy,to explore the risk factors,as well as the...Background:In recent years,the increase of pollen allergy encourages people to do a lot of research on the disease.This paper conducted a bibliometric study on pollen allergy,to explore the risk factors,as well as the current status,hotspots and development trends,so as to provide reference for researchers in related fields.Method:The visual analysis method was used to analyze the related literature of pollen allergy-related based on CiteSpace(6.2.R4)software,which were searched in the database of Web of Science Core Collection(WoSCC)from 2005 to 24 February 2025.Results:Finally,5318 documents were included in this study.Results showed that the country with the most published articles is USA.The research institution with the most publications is Medical University of Vienna.The analysis demonstrates strong international research collaboration,with particularly intensive connections observed within Europe.Professor Valenta Rudolf from the Medical University of Vienna is the most prolific author.High frequency keywords in this field include“asthma”,“allergic rhinitis”,“children”,“sensitization”and“food allergy”.It is worth noting that the emerging terms up to 2025 include“allergen immunotherapy”,“air pollution”,“risk”,“allergenic pollen”,“airborne pollen”,“exposure”,and“climate change”.Allergy and the Journal of Allergy and Clinical Immunology(JACI)are the two most-cited journals,both exhibiting high impact factors and centrality.The review article by Bousquet J.(2018)published in Allergy has been cited 137 times,representing the most cited publication with a betweenness centrality of 0.17.The research focus in the field has shifted to using research methods based on protein and peptides and DNA vaccines for the prevention and treatment of immune reactions induced by tree pollen.The study of recombinant fragments of purified proteins with specific allergens for preventive treatment has broad application prospects.Conclusion:Its conclusion provides comprehensive and beneficial reference information for the prevention and treatment of pollen allergy.展开更多
Studying runoff characteristics and quantifying human activities’impact on northern Shaanxi,a crucial mineral resource area in China,is crucial to alleviate water resource contradictions.In this study,hydrological el...Studying runoff characteristics and quantifying human activities’impact on northern Shaanxi,a crucial mineral resource area in China,is crucial to alleviate water resource contradictions.In this study,hydrological element trends were analyzed using theβ-z-h three-parameter indication method.The Mann-Kendall,Pettitt,moving T,and Yamamoto methods were used to test the mutation point of hydrological elements.The Budyko framework was used to quantitatively assess the impacts of climate change and multiple human activities on runoff reduction.The results showed that(1):Precipitation(PRE),potential evapotranspiration(E0),and temperature(TEM)showed increasing trends;runoff in the Huangfuchuan,Gushanchuan,Kuye River,Tuwei River,Wuding River,Qingjian River,and Yanhe River catchments showed decreasing trends(HFC,GSC,KYR,TWR,WDR,QJR,YR);whereas runoff in the Jialu River(JLR)catchment showed a“V-shaped”trend from 1980 to2020.(2)Runoff was positively correlated with PRE and negatively correlated with E0and the subsurface index(n),with the elasticity coefficients of PRE,E0,and n showing an increasing trend in the change period.(3)Human activities were a key factor in runoff reduction,although the impact of different human activities showed spatial variations.This study provides a scientific foundation for achieving the sustainable development of water resources in mining areas.展开更多
[Objectives]Based on bibliometric methods,the evolution path and knowledge structure of shampoo product research in China were systematically analyzed,with a focus on the composition,efficacy,and mechanisms of traditi...[Objectives]Based on bibliometric methods,the evolution path and knowledge structure of shampoo product research in China were systematically analyzed,with a focus on the composition,efficacy,and mechanisms of traditional Chinese medicine shampoos,aiming to reveal the shifting patterns of core technological focuses at different stages and identify key future research directions.[Methods]Using a sample of 515 publications from CNKI journals between 2005 and 2025,CiteSpace 6.3.R1 was employed to construct multi-dimensional networks of authors,institutions,and keywords.Burst detection,keyword and cluster analyses,and time zone mapping were applied to track disciplinary dynamics.[Results]The analysis on the annual number of publications indicated that research on shampoo products underwent multiple phases including initial development,growth,fluctuation,peak,and adjustment from 2005 to 2025,with an overall upward trend.The significant differences between the collaboration network density of core authors and the strength of institutional cooperation indicated a need for academia to enhance cross-institutional collaborative innovation mechanisms.Keyword clustering analysis and co-occurrence mapping revealed that the research on traditional Chinese medicine shampoo products,known for their natural,mild,and non-irritating characteristics,demonstrates notable advantages in dandruff removal,anti-hair loss,hair growth,and scalp health management,which have become current research hotspots,providing data-driven decision-making support for technological upgrading and industry-academia-research integration in the field.[Conclusions]The bibliometric analysis based on 515 publications indicates that the overall development direction of shampoo products will comprehensively advance toward refined efficacy and personalized customization,greener and more natural ingredients,technological innovation and industry-academia-research collaboration,market segmentation and diversified development,as well as safety and efficacy evaluation.This study provides theoretical support for the innovation of specialized traditional Chinese medicine shampoo products.展开更多
Purpose:This study analyzes the profiles of elite Brazilian researchers,recognized through the prestigious CNPq productivity scholarships.By identifying distinct researcher clusters,the study sheds light on different ...Purpose:This study analyzes the profiles of elite Brazilian researchers,recognized through the prestigious CNPq productivity scholarships.By identifying distinct researcher clusters,the study sheds light on different academic strategies,levels of productivity,and academic contributions within the Brazilian higher education system.Design/methodology/approach:The research analyzes a comprehensive dataset of 14,003 researchers,employing principal component analysis(PCA)followed by cluster analysis to group researchers based on their academic attributes.The clusters reflect diverse aspects of research productivity,graduate supervisions,and publication patterns.Findings:The analysis reveals the existence of three distinct researcher profiles(the Advanced Supervisors,the Book Publishers/Organizers,and the Generalists).The study also highlights the characteristics of highcaliber scientists,representing the upper echelon of Brazilian researchers in terms of productivity and impact.Research limitations:Although the study provides a robust analysis of the Brazilian system,the results reflect specific characteristics of the Brazilian academic context.Furthermore,the analysis was restricted to normalized annual data,which may overlook temporal variations in researcher productivity.Pratical implications:The findings provide valuable insights for policy makers,funding agencies(such as CNPq),and university administrators who aim to develop tailored support programs for different researcher profiles.Originality/value:The cluster-based profiling offers a novel perspective on how different academic trajectories coexist within a national science system,offering lessons for other emerging economies.展开更多
Traditional Chinese medicine(TCM)has played a significant role in the prevention and treatment of chronic heart failure(CHF).To study TCM diagnosis of CHF,a total of 278 Chinese clinical research articles on the study...Traditional Chinese medicine(TCM)has played a significant role in the prevention and treatment of chronic heart failure(CHF).To study TCM diagnosis of CHF,a total of 278 Chinese clinical research articles on the study of CHF syndromes in recent 40 years retrieved from Web of Science,Scopus,Pub Med,Embase,CNKI,Wanfang Data,Cq VIP,and Sino Med.According to cumulative frequency analysis,network analysis,and hierarchical cluster analysis,the study found the distribution of CHF syndromes was syndrome of qi deficiency with blood stasis,syndrome of qi and yin deficiency,syndrome of yang deficiency with water flooding,syndrome of heart blood stasis obstruction,syndrome of turbid phlegm,and syndrome of collapse due to primordial yang deficiency.The syndrome elements on location of illness were heart,kidney,lung,and spleen.The syndrome elements on nature of illness were qi deficiency,blood stasis,yang deficiency,yin deficiency,water retention,and turbid phlegm.These findings can provide reference to the research on diagnosis and treatment of CHF,and contribute to the study on syndrome standardization and objective research of TCM diagnosis.展开更多
Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over t...Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over time have transformed the field,making it essential to assess the evolution of research trends.This study performed a bibliometric analysis of facelift research by examining the top 50 most cited publications to evaluate their contributions,thematic evolution,and collaborative networks.Methods:The Scopus database was used to identify relevant publications.A total of 50 documents were selected,comprising 47 articles and 3 reviews published across 16 academic sources.The inclusion criteria focused on publications with substantial relevance to facelift research;this ensured comprehensive coverage of the topic.Key performance indicators(for the authors)such as the number of papers,total citations,h-index,g-index,m-index,HG composite,and Q2 index were calculated.Citation analysis and collaborative network mapping were conducted to identify the leading contributors,including authors,universities,countries,and sources.Results:The findings indicated an annual growth rate of 1.34%,with an average document age of 29.4 years and an average citation count per document of 134.9.The analysis identified the top authors and their collaborative networks,along with key contributions from various universities,countries,and sources.The thematic evolution of facelift research was examined across these 50 papers;this revealed important trends and shifts within the field.Conclusion:This bibliometric analysis offers valuable insights into the development and influence of facelift research over a 52-year span.It highlights significant contributors and outlines thematic shifts,providing directions for future research and collaboration in this field.展开更多
The accuracy and reliability of non-destructive testing(NDT)approaches in detecting interior corrosion problems are critical,yet research in this field is limited.This work describes a novel way to monitor the structu...The accuracy and reliability of non-destructive testing(NDT)approaches in detecting interior corrosion problems are critical,yet research in this field is limited.This work describes a novel way to monitor the structural integrity of steel gas pipelines that uses advanced numerical modeling techniques to anticipate fracture development and corrosion effects.The objective is to increase pipeline dependability and safety through more precise,real-time health evaluations.Compared to previous approaches,our solution provides higher accuracy in fault detection and quantification,making it ideal for pipeline integritymonitoring in real-world applications.To solve this issue,statistical analysis was conducted on the size and directional distribution features of about 380,000 sets of internal corrosion faults,as well as simulations of erosion and wear patterns on bent pipes.Using real defectmorphologies,we developed a modeling framework for typical interior corrosion flaws.We evaluated and validated the applicability and effectiveness of in-service inspection processes,as well as conducted on-site comparison tests.The results show that(1)the length and width of corrosion defects follow a log-normal distribution,the clock orientation follows a normal distribution,and the peak depth follows a Freundlich EX function distribution pattern;(2)pipeline corrosion defect data can be classified into three classes using the K-means clustering algorithm,allowing rapid and convenient acquisition of typical size and orientation characteristics of internal corrosion defects;(3)the applicability range and boundary conditions of various NDT techniques were verified,establishing comprehensive selection principles for internal corrosion defect detection technology;(4)on-site inspection results showed a 31%The simulation and validation platform for typical interior corrosion issues greatly enhances the accuracy and reliability of detection data.展开更多
Objective To evaluate the cost-effectiveness of gadopentetate dimeglumine(Gd-DTPA)and gadobenate dimeglumine(Gd-BOPTA)magnetic resonance imaging(MRI)contrast agents for the early diagnosis of hepatocellular carcinoma(...Objective To evaluate the cost-effectiveness of gadopentetate dimeglumine(Gd-DTPA)and gadobenate dimeglumine(Gd-BOPTA)magnetic resonance imaging(MRI)contrast agents for the early diagnosis of hepatocellular carcinoma(HCC)from the perspective of China’s healthcare system.Methods A decision tree+partitioned survival model was constructed for early diagnosis of HCC based on literature data.Taking quality-adjusted life year(QALY)as the main health outcome measure for incremental cost-effectiveness ratio(ICER)analysis,the sensitivity analysis by Monte Carlo simulation was constructed to generate corresponding tornado diagram,incremental cost-effectiveness scatter plot,and cost-effectiveness acceptability curve.Results and Conclusion The basic analysis results showed that the ICER value of Gd-BOPTA diagnostic scheme compared with Gd-DTPA diagnostic scheme was 17302.46 yuan/QALY,which is less than 1 times of China’s gross domestic product(GDP)per capita.The sensitivity analysis results showed that the cost of delayed treatment and timely treatment had a significant impact on the results.When the willingness to pay(WTP)was 1 time of GDP per capita,the probability of cost-effectiveness advantage of Gd-BOPTA diagnostic scheme was 65.30%.When the WTP value is set at 1 times of GDP per capita,Gd-BOPTA MRI has cost-effectiveness advantages for the early diagnosis of HCC.展开更多
The influence of Impedance Boundary Condition (IBC) on transonic compressors is investigated. A systematic input–output analytical framework is developed, which treats the nonlinearities as unknown forcing terms. The...The influence of Impedance Boundary Condition (IBC) on transonic compressors is investigated. A systematic input–output analytical framework is developed, which treats the nonlinearities as unknown forcing terms. The framework is validated through the experiments of rotating inlet distortion within a low-speed compressor. The input–output method is subsequently applied to transonic compressors, including NASA Rotor37 and Stage35, wherein impedance optimization is studied along with the exploration of its fundamental mechanisms. The IBC is employed to model the effect of Casing Treatment (CT). The optimal complex impedance values are determined through predicted results and tested across a range of circumferential modes and forcing frequencies. The IBC significantly reduces the energy and Reynolds stress gain, notably at the first-order circumferential mode and within the Rotor Rotating Frequency (RRF) range. Output modes reveal that transonic compressors with fine-tuned impedance values exhibit a more confined perturbation distribution and redistribute the perturbations compared to the uncontrolled case. Additionally, the roles of resistance and reactance are elucidated through input–output analysis, and resistance determines the energy transfer direction between flow and pressure waves and modulates the amplitude, whereas reactance modifies the phase relationships and attenuates the perturbations.展开更多
Infrared(IR)spectroscopy,a technique within the realm of molecular vibrational spectroscopy,furnishes distinctive chemical signatures pivotal for both structural analysis and compound identification.A notable challeng...Infrared(IR)spectroscopy,a technique within the realm of molecular vibrational spectroscopy,furnishes distinctive chemical signatures pivotal for both structural analysis and compound identification.A notable challenge emerges from the misalignment between the mid-IR light wavelength range and molecular dimensions,culminating in a constrained absorption cross-section and diminished vibrational absorption coefficients(Supplementary data).展开更多
Currently,in STEM environments,female employees are often recognized as minorities due to their positioning or occupancy rate,which may lead to experiences of“imposter syndrome”.This study applies frameworks of mixe...Currently,in STEM environments,female employees are often recognized as minorities due to their positioning or occupancy rate,which may lead to experiences of“imposter syndrome”.This study applies frameworks of mixed-gender discourse,such as limited involvement in activity as an agent,markedness,and gender-differentiated roles,to clarify how women in STEM position themselves or are positioned by the society.Using corpus linguistics and content analysis,it is clarified that female researchers are usually linguistically marked or tend to distinguish themselves as non-experts.Thus,their portrayal within a misogynistic society may considerably interact with how female researchers represent themselves.展开更多
基金Funding Statement:This work was funded by the National Natural Science Foundation of China(32100132)Shandong Province Natural Sciences Foundation of China(ZR2021QC008)+1 种基金Youth Innovation Team Program'in College of Shandong Province of China(2022KJ119)supported by Young Talent of Lifting Engineering for Science and Technology in Shandong,China(SDAST2024QT085).
文摘Sweet potatoes are significant cash crops,however,their yield and quality are greatly compromised by viral diseases.In this study,the complete genomic sequences of two Sweet Potato Virus 2(SPV2)isolates from infected sweet potato leaves in the Shandong(designated as SPV2-SDYT,GenBank No.PQ855660.1)and Jiangsu(designated as SPV2-JSXZ,GenBank No.PQ855661.1)provinces in China were obtained using 5′RACE and RT-PCR amplification.Consistency,phylogeny,codon usage bias,recombination,and selection pressure analyses were conducted using the SPV2-SDYT and SPV2-JSXZ genome sequences.The complete genome sequences of SPV2-SDYT and SPV2-JSXZ were 10561 nucleotides(nt)in length,with respective nucleotide and amino acid identities of 99.25%and 99.12%,respectively.Both isolates were closely related to the SPV2 isolate from China(SPV2-LN).In both SPV2-SDYT and SPV2-JSXZ,the identity of the P1 protein was the highest,whereas that of the P3 protein was the lowest.There were 26 codons with relatively synonymous codon usage(RSCU)values greater than 1 in SPV2-SDYT and 27 codons with RSCU values greater than 1 in SPV2-JSXZ.High-frequency codons in their genomes were predominantly found to end with A/U.Recombination analysis revealed no major recombination sites in either SPV2-SDYT or SPV2-JSXZ.Further selection pressure analysis showed that the non-synonymous substitution rate/synonymous substitution rate(dN/dS)value of all 10 SPV2 proteins was less than 1.This is the first report on the evolutionary relationships of the 17 known SPV2 isolates.Our findings lay the molecular groundwork for preventing and controlling SPV2 infection in root-tuber crops.These findings also contribute to our understanding of the spread and evolution of SPV2,its pathogenic mechanisms,and the development of antiviral strategies against it.
基金The National Key R&D Program Projects(Grant No.2022YFC2803601)the Natural Science Foundation of Shandong Province(Grant No.ZR2021YQ29)+1 种基金the Natural Science Foundation of Heilongjiang Province(Grant No.YQ2024E036)the Taishan Scholars Project(Grant No.tsqn202312317).
文摘Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through systematic analysis of 150 peer-reviewed studies employing mixed-methods research,this review yields three principal advancements to the reliability analysis of AUVs.First,based on the hierarchical functional division of AUVs into six subsystems(propulsion system,navigation system,communication system,power system,environmental detection system,and emergency system),this study systematically identifies the primary failure modes and potential failure causes of each subsystem,providing theoretical support for fault diagnosis and reliability optimization.Subsequently,a comprehensive review of AUV reliability analysis methods is conducted from three perspectives:analytical methods,simulated methods,and surrogate model methods.The applicability and limitations of each method are critically analyzed to offer insights into their suitability for engineering applications.Finally,the study highlights key challenges and research hotpots in AUV reliability analysis,including reliability analysis under limited data,AI-driven reliability analysis,and human reliability analysis.Furthermore,the potential of multi-sensor data fusion,edge computing,and advanced materials in enhancing AUV environmental adaptability and reliability is explored.
基金supported by the National Natural Science Foundation of China under Grant 52277072.
文摘Wide-band oscillations have become a significant issue limiting the development of wind power.Both large-signal and small-signal analyses require extensive model derivation.Moreover,the large number and high order of wind turbines have driven the development of simplified models,whose applicability remains controversial.In this paper,a wide-band oscillation analysis method based on the average-value model(AVM)is proposed for wind farms(WFs).A novel linearization analysis framework is developed,leveraging the continuous-time characteristics of the AVM and MATLAB/Simulink’s built-in linearization tools.This significantly reduces modeling complexity and computational costs while maintaining model fidelity.Additionally,an object-based initial value estimation method of state variables is introduced,which,when combined with steady-state point-solving tools,greatly reduces the computational effort required for equilibrium point solving in batch linearization analysis.The proposed method is validated in both doubly fed induction generator(DFIG)-based and permanent magnet synchronous generator(PMSG)-based WFs.Furthermore,a comprehensive analysis is conducted for the first time to examine the impact of the machine-side system on the system stability of the nonfully controlled PMSG-based WF.
基金supported by grants from the National Natural Science Foundation of China(Grant No.31960585)Science and Technology Major Project of Guangxi(Grant No.Guike AA22068092)+1 种基金Guangxi Science and Technology Vanguard Special Action Project(Grant No.202204)State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources(Grant Nos.SKLCUSA-a201906,SKLCU-SA-c201901)。
文摘The SKP1 gene is an important component of the SCF(SKP1-Cullin1-F-box)complex and serves as a bridge connecting the F-box and Cullin1genes(F-box-SKP1-Cullin1).The pattern of S-RNase being ubiquitously labelled by the SCF complex and degraded by the 26S protease accounts for the bulk of the available self-incompatibility studies.In this study,15 ClSKP1s from the‘Xiangshui'lemon genome and ubiquitome exist in the same SKP1 conserved domain(CD)as SKP1s in other species.The q PCR results showed that SKP1-6 and SKP1-14 have tissue expression patterns specific for expression in pollen.In addition,SKP1-6 and SKP1-14 in the stigma,style and ovary were significantly upregulated after self-pollination compared to those after cross-pollination.A subcellular location showed that SKP1-6 and SKP1-14 were located in the nucleus.In addition,yeast two-hybrid(Y2H)assays,bimolecular fluorescence complementation(BiFC)and luciferase complementation imaging(LCI)assays showed that SKP1-6 interacted with F-box1,F-box33,F-box34,F-box17,F-box19,Cullin1-2 and 26S proteasome subunit 4 homolog A(26S PS4HA).SKP1-14 interacted with F-box17,F-box19,F-box35,Cullin1-2 and 26S PS4HA.The interaction of Cullin1-2 and the F-box with SKP1 as a bridge was verified by a yeast three-hybrid experiment.The ability of S3-RNase to inhibit pollen and pollen tube growth and development was assessed using in vitro pollen co-culture experiments with recombinant S3-RNase proteins.Overall,this study provides important experimental evidence and theoretical basis for understanding the mechanism of self-incompatibility in plants by revealing the key role of the SCF complex in‘Xiangshui'lemon,which is bridged by ClSKP1-6,in self-incompatibility.The results of this study are of great significance for the future indepth exploration of the molecular mechanism of the SCF complex and its wide application in the self-incompatibility of plants.
基金supported by the National Natural Science Foundation of China(Grant Nos.42250103 and 42174090)the Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education(Grant No.GLAB2023ZR02)the Ministry of Science and Technology(MOST)Special Fund from the State Key Laboratory of Geological Processes and Mineral Resources(Grant No.MSFGPMR2022-4)。
文摘As a means of quantitative interpretation,forward calculations of the global lithospheric magnetic field in the Spherical Harmonic(SH)domain have been widely used to reveal geophysical,lithological,and geothermal variations in the lithosphere.Traditional approaches either do not consider the non-axial dipolar terms of the inducing field and its radial variation or do so by means of complicated formulae.Moreover,existing methods treat the magnetic lithosphere either as an infinitesimally thin layer or as a radially uniform spherical shell of constant thickness.Here,we present alternative forward formulae that account for an arbitrarily high maximum degree of the inducing field and for a magnetic lithosphere of variable thickness.Our simulations based on these formulae suggest that the satellite magnetic anomaly field is sensitive to the non-axial dipolar terms of the inducing field but not to its radial variation.Therefore,in forward and inverse calculations of satellite magnetic anomaly data,the non-axial dipolar terms of the inducing field should not be ignored.Furthermore,our results show that the satellite magnetic anomaly field is sensitive to variability in the lateral thickness of the magnetized shell.In particular,we show that for a given vertically integrated susceptibility distribution,underestimating the thickness of the magnetic layer overestimates the induced magnetic field.This discovery bridges the greatest part of the alleged gap between the susceptibility values measured from rock samples and the susceptibility values required to match the observed magnetic field signal.We expect the formulae and conclusions of this study to be a valuable tool for the quantitative interpretation of the Earth's global lithospheric magnetic field,through an inverse or forward modelling approach.
基金supported by the Science and Technology Project of Henan Province(No.222102210081).
文摘Joint Multimodal Aspect-based Sentiment Analysis(JMASA)is a significant task in the research of multimodal fine-grained sentiment analysis,which combines two subtasks:Multimodal Aspect Term Extraction(MATE)and Multimodal Aspect-oriented Sentiment Classification(MASC).Currently,most existing models for JMASA only perform text and image feature encoding from a basic level,but often neglect the in-depth analysis of unimodal intrinsic features,which may lead to the low accuracy of aspect term extraction and the poor ability of sentiment prediction due to the insufficient learning of intra-modal features.Given this problem,we propose a Text-Image Feature Fine-grained Learning(TIFFL)model for JMASA.First,we construct an enhanced adjacency matrix of word dependencies and adopt graph convolutional network to learn the syntactic structure features for text,which addresses the context interference problem of identifying different aspect terms.Then,the adjective-noun pairs extracted from image are introduced to enable the semantic representation of visual features more intuitive,which addresses the ambiguous semantic extraction problem during image feature learning.Thereby,the model performance of aspect term extraction and sentiment polarity prediction can be further optimized and enhanced.Experiments on two Twitter benchmark datasets demonstrate that TIFFL achieves competitive results for JMASA,MATE and MASC,thus validating the effectiveness of our proposed methods.
文摘Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emphasis on structural durability and monitoring is required.This study focuses on the mechanical vibrations that occur in rotary drilling systems,which have a substantial impact on the structural integrity of drilling equipment.The study specifically investigates axial,torsional,and lateral vibrations,which might lead to negative consequences such as bit-bounce,chaotic whirling,and high-frequency stick-slip.These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time.The study investigates the dynamic interactions of these vibrations,specifically in their high-frequency modes,usingfield data obtained from measurement while drilling.Thefindings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys-tem performance.The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems.Therefore,integrating these compo-nents can increase the durability of drill bits and drill strings,as well as improve the ability to monitor and detect damage.Moreover,by exploiting thesefindings,the assessment of structural resilience in rotary drilling systems can be enhanced.Furthermore,the study demonstrates the capacity of structural health monitoring to improve the quality,dependability,and efficiency of rotary drilling systems in the petroleum industry.
文摘Background:Three-dimensional(3D)printing has revolutionized craniofacial and craniomaxillofacial applications,leading to substantial advancements in patient-specific treatments.In this study,a bibliometric analysis was performed to identify the key contributors,research trends,thematic developments,and collaboration networks in this evolving field.Methods:Two search strategies were employed to ensure a comprehensive analysis:(1)a broad search,in which selected keywords were searched in the title,abstract,and keyword fields to capture all relevant publications,and(2)a title-specific search,in which keywords were restricted to the title field to identify publications with a strong focus on 3D printing in craniofacial and craniomaxillofacial applications.The retrieved dataset was analyzed using VOSviewer and RStudio(bibliometrix package).Results:The broad search retrieved 3534 publications,whereas the title-specific search yielded 280 publications.The analysis of these 280 papers focused on identifying the top authors,universities,and countries,as well as their research dynamics and collaboration networks.A more detailed approach was adopted by examining the titles of these 280 papers.VOSviewer segmented the titles into approximately 800 words,which were then categorized into 18 distinct thematic groups to represent research trends.The focus areas of the ten most cited papers were also analyzed.Conclusion:This bibliometric study provides valuable insights into the progress in 3D printing for craniofacial and craniomaxillofacial applications.By highlighting the key contributors,thematic developments,and collaborative networks,this study offers a foundation for future research in this rapidly advancing field.
文摘Dear Editor,We read with a great interest the recently published systematic review by Shamsikhani and Hosseini titled,“Foot reflexology on nausea and vomiting:A systematic review.”[1]While the authors provided a comprehensive qualitative synthesis of six studies meeting their inclusion criteria,we believe that additional quantitative analysis would strengthen the evidence base for foot reflexology in managing nausea and vomiting.We conducted a complementary meta-analysis to provide quantitative evidence supporting the qualitative findings presented in the systematic review.
文摘Background:In recent years,the increase of pollen allergy encourages people to do a lot of research on the disease.This paper conducted a bibliometric study on pollen allergy,to explore the risk factors,as well as the current status,hotspots and development trends,so as to provide reference for researchers in related fields.Method:The visual analysis method was used to analyze the related literature of pollen allergy-related based on CiteSpace(6.2.R4)software,which were searched in the database of Web of Science Core Collection(WoSCC)from 2005 to 24 February 2025.Results:Finally,5318 documents were included in this study.Results showed that the country with the most published articles is USA.The research institution with the most publications is Medical University of Vienna.The analysis demonstrates strong international research collaboration,with particularly intensive connections observed within Europe.Professor Valenta Rudolf from the Medical University of Vienna is the most prolific author.High frequency keywords in this field include“asthma”,“allergic rhinitis”,“children”,“sensitization”and“food allergy”.It is worth noting that the emerging terms up to 2025 include“allergen immunotherapy”,“air pollution”,“risk”,“allergenic pollen”,“airborne pollen”,“exposure”,and“climate change”.Allergy and the Journal of Allergy and Clinical Immunology(JACI)are the two most-cited journals,both exhibiting high impact factors and centrality.The review article by Bousquet J.(2018)published in Allergy has been cited 137 times,representing the most cited publication with a betweenness centrality of 0.17.The research focus in the field has shifted to using research methods based on protein and peptides and DNA vaccines for the prevention and treatment of immune reactions induced by tree pollen.The study of recombinant fragments of purified proteins with specific allergens for preventive treatment has broad application prospects.Conclusion:Its conclusion provides comprehensive and beneficial reference information for the prevention and treatment of pollen allergy.
基金Department of Water Resources of Shaanxi Province of China,No.2023slkj-8National Natural Science Foundation of China,No.51779209。
文摘Studying runoff characteristics and quantifying human activities’impact on northern Shaanxi,a crucial mineral resource area in China,is crucial to alleviate water resource contradictions.In this study,hydrological element trends were analyzed using theβ-z-h three-parameter indication method.The Mann-Kendall,Pettitt,moving T,and Yamamoto methods were used to test the mutation point of hydrological elements.The Budyko framework was used to quantitatively assess the impacts of climate change and multiple human activities on runoff reduction.The results showed that(1):Precipitation(PRE),potential evapotranspiration(E0),and temperature(TEM)showed increasing trends;runoff in the Huangfuchuan,Gushanchuan,Kuye River,Tuwei River,Wuding River,Qingjian River,and Yanhe River catchments showed decreasing trends(HFC,GSC,KYR,TWR,WDR,QJR,YR);whereas runoff in the Jialu River(JLR)catchment showed a“V-shaped”trend from 1980 to2020.(2)Runoff was positively correlated with PRE and negatively correlated with E0and the subsurface index(n),with the elasticity coefficients of PRE,E0,and n showing an increasing trend in the change period.(3)Human activities were a key factor in runoff reduction,although the impact of different human activities showed spatial variations.This study provides a scientific foundation for achieving the sustainable development of water resources in mining areas.
基金Supported by Undergraduate Innovation and Entrepreneurship Program of Faculty of Chinese Medicine Science of Guangxi University of Chinese Medicine (Autonomous Region Level) (S202413643051)Guangxi First-class Discipline Construction Project (GJKY[2022]1).
文摘[Objectives]Based on bibliometric methods,the evolution path and knowledge structure of shampoo product research in China were systematically analyzed,with a focus on the composition,efficacy,and mechanisms of traditional Chinese medicine shampoos,aiming to reveal the shifting patterns of core technological focuses at different stages and identify key future research directions.[Methods]Using a sample of 515 publications from CNKI journals between 2005 and 2025,CiteSpace 6.3.R1 was employed to construct multi-dimensional networks of authors,institutions,and keywords.Burst detection,keyword and cluster analyses,and time zone mapping were applied to track disciplinary dynamics.[Results]The analysis on the annual number of publications indicated that research on shampoo products underwent multiple phases including initial development,growth,fluctuation,peak,and adjustment from 2005 to 2025,with an overall upward trend.The significant differences between the collaboration network density of core authors and the strength of institutional cooperation indicated a need for academia to enhance cross-institutional collaborative innovation mechanisms.Keyword clustering analysis and co-occurrence mapping revealed that the research on traditional Chinese medicine shampoo products,known for their natural,mild,and non-irritating characteristics,demonstrates notable advantages in dandruff removal,anti-hair loss,hair growth,and scalp health management,which have become current research hotspots,providing data-driven decision-making support for technological upgrading and industry-academia-research integration in the field.[Conclusions]The bibliometric analysis based on 515 publications indicates that the overall development direction of shampoo products will comprehensively advance toward refined efficacy and personalized customization,greener and more natural ingredients,technological innovation and industry-academia-research collaboration,market segmentation and diversified development,as well as safety and efficacy evaluation.This study provides theoretical support for the innovation of specialized traditional Chinese medicine shampoo products.
文摘Purpose:This study analyzes the profiles of elite Brazilian researchers,recognized through the prestigious CNPq productivity scholarships.By identifying distinct researcher clusters,the study sheds light on different academic strategies,levels of productivity,and academic contributions within the Brazilian higher education system.Design/methodology/approach:The research analyzes a comprehensive dataset of 14,003 researchers,employing principal component analysis(PCA)followed by cluster analysis to group researchers based on their academic attributes.The clusters reflect diverse aspects of research productivity,graduate supervisions,and publication patterns.Findings:The analysis reveals the existence of three distinct researcher profiles(the Advanced Supervisors,the Book Publishers/Organizers,and the Generalists).The study also highlights the characteristics of highcaliber scientists,representing the upper echelon of Brazilian researchers in terms of productivity and impact.Research limitations:Although the study provides a robust analysis of the Brazilian system,the results reflect specific characteristics of the Brazilian academic context.Furthermore,the analysis was restricted to normalized annual data,which may overlook temporal variations in researcher productivity.Pratical implications:The findings provide valuable insights for policy makers,funding agencies(such as CNPq),and university administrators who aim to develop tailored support programs for different researcher profiles.Originality/value:The cluster-based profiling offers a novel perspective on how different academic trajectories coexist within a national science system,offering lessons for other emerging economies.
基金financed by the grants from the National Natural Science Foundation of China(No.81803996)Shanghai Key Laboratory of Health Identification and Assessment(No.21DZ2271000)。
文摘Traditional Chinese medicine(TCM)has played a significant role in the prevention and treatment of chronic heart failure(CHF).To study TCM diagnosis of CHF,a total of 278 Chinese clinical research articles on the study of CHF syndromes in recent 40 years retrieved from Web of Science,Scopus,Pub Med,Embase,CNKI,Wanfang Data,Cq VIP,and Sino Med.According to cumulative frequency analysis,network analysis,and hierarchical cluster analysis,the study found the distribution of CHF syndromes was syndrome of qi deficiency with blood stasis,syndrome of qi and yin deficiency,syndrome of yang deficiency with water flooding,syndrome of heart blood stasis obstruction,syndrome of turbid phlegm,and syndrome of collapse due to primordial yang deficiency.The syndrome elements on location of illness were heart,kidney,lung,and spleen.The syndrome elements on nature of illness were qi deficiency,blood stasis,yang deficiency,yin deficiency,water retention,and turbid phlegm.These findings can provide reference to the research on diagnosis and treatment of CHF,and contribute to the study on syndrome standardization and objective research of TCM diagnosis.
文摘Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over time have transformed the field,making it essential to assess the evolution of research trends.This study performed a bibliometric analysis of facelift research by examining the top 50 most cited publications to evaluate their contributions,thematic evolution,and collaborative networks.Methods:The Scopus database was used to identify relevant publications.A total of 50 documents were selected,comprising 47 articles and 3 reviews published across 16 academic sources.The inclusion criteria focused on publications with substantial relevance to facelift research;this ensured comprehensive coverage of the topic.Key performance indicators(for the authors)such as the number of papers,total citations,h-index,g-index,m-index,HG composite,and Q2 index were calculated.Citation analysis and collaborative network mapping were conducted to identify the leading contributors,including authors,universities,countries,and sources.Results:The findings indicated an annual growth rate of 1.34%,with an average document age of 29.4 years and an average citation count per document of 134.9.The analysis identified the top authors and their collaborative networks,along with key contributions from various universities,countries,and sources.The thematic evolution of facelift research was examined across these 50 papers;this revealed important trends and shifts within the field.Conclusion:This bibliometric analysis offers valuable insights into the development and influence of facelift research over a 52-year span.It highlights significant contributors and outlines thematic shifts,providing directions for future research and collaboration in this field.
基金The“13th Five-Year Plan”National Science and Technology Major Project,2016ZX05052,Changchao QiThe China National Petroleum Corporation Science and Technology Project,2021DJ6505,Changchao Qi.
文摘The accuracy and reliability of non-destructive testing(NDT)approaches in detecting interior corrosion problems are critical,yet research in this field is limited.This work describes a novel way to monitor the structural integrity of steel gas pipelines that uses advanced numerical modeling techniques to anticipate fracture development and corrosion effects.The objective is to increase pipeline dependability and safety through more precise,real-time health evaluations.Compared to previous approaches,our solution provides higher accuracy in fault detection and quantification,making it ideal for pipeline integritymonitoring in real-world applications.To solve this issue,statistical analysis was conducted on the size and directional distribution features of about 380,000 sets of internal corrosion faults,as well as simulations of erosion and wear patterns on bent pipes.Using real defectmorphologies,we developed a modeling framework for typical interior corrosion flaws.We evaluated and validated the applicability and effectiveness of in-service inspection processes,as well as conducted on-site comparison tests.The results show that(1)the length and width of corrosion defects follow a log-normal distribution,the clock orientation follows a normal distribution,and the peak depth follows a Freundlich EX function distribution pattern;(2)pipeline corrosion defect data can be classified into three classes using the K-means clustering algorithm,allowing rapid and convenient acquisition of typical size and orientation characteristics of internal corrosion defects;(3)the applicability range and boundary conditions of various NDT techniques were verified,establishing comprehensive selection principles for internal corrosion defect detection technology;(4)on-site inspection results showed a 31%The simulation and validation platform for typical interior corrosion issues greatly enhances the accuracy and reliability of detection data.
文摘Objective To evaluate the cost-effectiveness of gadopentetate dimeglumine(Gd-DTPA)and gadobenate dimeglumine(Gd-BOPTA)magnetic resonance imaging(MRI)contrast agents for the early diagnosis of hepatocellular carcinoma(HCC)from the perspective of China’s healthcare system.Methods A decision tree+partitioned survival model was constructed for early diagnosis of HCC based on literature data.Taking quality-adjusted life year(QALY)as the main health outcome measure for incremental cost-effectiveness ratio(ICER)analysis,the sensitivity analysis by Monte Carlo simulation was constructed to generate corresponding tornado diagram,incremental cost-effectiveness scatter plot,and cost-effectiveness acceptability curve.Results and Conclusion The basic analysis results showed that the ICER value of Gd-BOPTA diagnostic scheme compared with Gd-DTPA diagnostic scheme was 17302.46 yuan/QALY,which is less than 1 times of China’s gross domestic product(GDP)per capita.The sensitivity analysis results showed that the cost of delayed treatment and timely treatment had a significant impact on the results.When the willingness to pay(WTP)was 1 time of GDP per capita,the probability of cost-effectiveness advantage of Gd-BOPTA diagnostic scheme was 65.30%.When the WTP value is set at 1 times of GDP per capita,Gd-BOPTA MRI has cost-effectiveness advantages for the early diagnosis of HCC.
基金co-supported by the National Natural Science Foundation of China(Nos.52325602,52306036 and 52306035)the National Science and Technology Major Project of China(No.Y2022-II-0003-0006 and Y2022-II-0002-0005)+1 种基金the project funded by China Postdoctoral Science Foundation(No.2022M720346)supported by the Key Laboratory of Pre-Research Management Centre of China(No.6142702200101).
文摘The influence of Impedance Boundary Condition (IBC) on transonic compressors is investigated. A systematic input–output analytical framework is developed, which treats the nonlinearities as unknown forcing terms. The framework is validated through the experiments of rotating inlet distortion within a low-speed compressor. The input–output method is subsequently applied to transonic compressors, including NASA Rotor37 and Stage35, wherein impedance optimization is studied along with the exploration of its fundamental mechanisms. The IBC is employed to model the effect of Casing Treatment (CT). The optimal complex impedance values are determined through predicted results and tested across a range of circumferential modes and forcing frequencies. The IBC significantly reduces the energy and Reynolds stress gain, notably at the first-order circumferential mode and within the Rotor Rotating Frequency (RRF) range. Output modes reveal that transonic compressors with fine-tuned impedance values exhibit a more confined perturbation distribution and redistribute the perturbations compared to the uncontrolled case. Additionally, the roles of resistance and reactance are elucidated through input–output analysis, and resistance determines the energy transfer direction between flow and pressure waves and modulates the amplitude, whereas reactance modifies the phase relationships and attenuates the perturbations.
基金supported by National Natural Science Foundation of China(Grant No.:32301161)the Natural Scientific Foundation of Hunan Province,China(Grant No.:2023JJ60052)+3 种基金the Scientific Research Project of Hunan Provincial Health Commission,China(Grant No.:202112062218,20190161)the Scientific Research Project of Hunan Provincial Department of Education,China(Grant No.:22B0455)the Clinical“4310”Project of the University of South China,China(Grant No.:20224310NHYCG02)the Doctoral Scientific Research Foundation of University of South China,China(Grant No.:200XQD042).
文摘Infrared(IR)spectroscopy,a technique within the realm of molecular vibrational spectroscopy,furnishes distinctive chemical signatures pivotal for both structural analysis and compound identification.A notable challenge emerges from the misalignment between the mid-IR light wavelength range and molecular dimensions,culminating in a constrained absorption cross-section and diminished vibrational absorption coefficients(Supplementary data).
文摘Currently,in STEM environments,female employees are often recognized as minorities due to their positioning or occupancy rate,which may lead to experiences of“imposter syndrome”.This study applies frameworks of mixed-gender discourse,such as limited involvement in activity as an agent,markedness,and gender-differentiated roles,to clarify how women in STEM position themselves or are positioned by the society.Using corpus linguistics and content analysis,it is clarified that female researchers are usually linguistically marked or tend to distinguish themselves as non-experts.Thus,their portrayal within a misogynistic society may considerably interact with how female researchers represent themselves.
