An evolution inequality of Sobolev type involving a nonlinear convolution term is considered.By using the nonlinear capacity method and the contradiction argument,the non-existence of the nontrivial local weak solutio...An evolution inequality of Sobolev type involving a nonlinear convolution term is considered.By using the nonlinear capacity method and the contradiction argument,the non-existence of the nontrivial local weak solution is proved.展开更多
Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies i...Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies in the translation of Qigong terms,such as a lack of systematicity and inconsistent translations.Based on hermeneutics theory,this study analyzes the factors influencing the acceptance of Qigong term translations,and constructs an evaluation model for translation acceptance,covering three dimensions:culture,language,and readers.Accordingly,translation strategies are proposed,including culturally adaptive translation,optimization of language structure,reader stratification strategies,horizon fusion,and the hermeneutic circle,etc.The aim is to balance the cultural connotations and readers’acceptance,and to promote the international communication of Qigong culture.展开更多
This article aims to analyze the repercussions of food trade between China and various regions of the world to understand the dynamics of food flows and offer a novel perspective on the contemporary globalization proc...This article aims to analyze the repercussions of food trade between China and various regions of the world to understand the dynamics of food flows and offer a novel perspective on the contemporary globalization process.Understanding these flows involves analyzing the global production and commercialization of food and the effects of these movements on exporting and importing countries in economic terms and food security.The concept of unequal caloric exchange is applied to the case of China,which allows for an understanding of how its economic growth and participation in international trade have transformed its global and internal commercial dynamics by establishing links with self-sufficiency and the composition of its population’s diet.The results show that China is increasingly dependent on international markets for its food supply.From 1961 to 2021,food consumption in China has tripled in calories and experienced qualitative changes,with a reduction in high-quality carbohydrates and vegetable proteins and an increase in cereals,vegetable oils,alcohol,and vegetables.This dietary transformation is related to economic growth and greater dependence on international trade.From 1987 to 2022,China has shown a growing deficit in the food trade balance,with imports exceeding exports in volume,value,and calories,although it maintains favorable terms of trade.Food self-sufficiency has decreased from 95%in 1961 to 76%in 2022,and the diet has diversified,replacing traditional foods with products demanded in international trade.展开更多
Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and ...Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.展开更多
This study investigates translation strategies for Chinese cultural terms in academic texts through a case study of Chapter 7 from“Jade Myth Belief and Chinese Spirit”.Using a qualitative research approach based on ...This study investigates translation strategies for Chinese cultural terms in academic texts through a case study of Chapter 7 from“Jade Myth Belief and Chinese Spirit”.Using a qualitative research approach based on cultural context framework and cognitive model,the study analyzes translation challenges and solutions in rendering cultural terms related to jade mythology and archaeological concepts.The research identifies three primary translation strategies:transliteration with annotation,domestication with explanation,and cognitive-based translation.The findings reveal that effective translation requires a balanced approach between maintaining academic precision and preserving cultural authenticity.The study demonstrates that successful translation of cultural terms in academic contexts demands a sophisticated understanding of both source and target cultural contexts,along with careful consideration of the academic audience’s needs.This research contributes to the field by providing practical insights for translators working with Chinese cultural texts in academic settings and proposing an approach to handling complex cultural terminology.展开更多
It is well known that the A-square term must be considered in both cavity and circuit quantum electrodynamics systems,because it arises in the derivation from the minimal coupling Hamiltonian at any finite coupling st...It is well known that the A-square term must be considered in both cavity and circuit quantum electrodynamics systems,because it arises in the derivation from the minimal coupling Hamiltonian at any finite coupling strength.In this paper,we study the quantum Rabi model with A-square terms using the Bogoliubov operator approach.After a unitary transformation,the A-square terms can be eliminated,resulting in a modified quantum Rabi model with renormalized parameters.A transcendental function responsible for the exact solution is then derived.The presence of the A-square terms is found to significantly alter the energy spectrum.The dynamics are also studied using the obtained exact wave function,which is sensitive to the strength of the A-square terms at strong coupling.We believe that these results could be observed in future light–matter interaction systems in the ultra-strong and deep strong coupling regimes.展开更多
In this paper,we investigate the blow-up phenomenon for a class of logarithmic viscoelastic equations with delay and nonlocal terms under acoustic boundary conditions.Using the energy method,we prove that nontrivial s...In this paper,we investigate the blow-up phenomenon for a class of logarithmic viscoelastic equations with delay and nonlocal terms under acoustic boundary conditions.Using the energy method,we prove that nontrivial solutions with negative initial energy will blow up in finite time,and provide an upper bound estimate for the blow-up time.Additionally,we also derive a lower bound estimate for the blow-up time.展开更多
In this study,the climatology and long-term trends of middle atmospheric temperatures at mid-latitudes are investigated using Rayleigh/Sodium lidar observations collected from January 2010 to December 2021 over Hefei,...In this study,the climatology and long-term trends of middle atmospheric temperatures at mid-latitudes are investigated using Rayleigh/Sodium lidar observations collected from January 2010 to December 2021 over Hefei,China(32°N,117°E).The seasonal variations and vertical profiles of lidar-derived temperatures demonstrate strong agreement with temperature measurements from the Microwave Limb Sounder(MLS)instrument on the Earth Observing System(EOS)Aura satellite.In terms of seasonal variation,middle atmospheric temperatures primarily exhibit annual oscillations(AO)and semi-annual oscillations(SAO).Harmonic analysis of the lidar and MLS temperature data reveals close phase alignment for both AO and SAO,with AO amplitudes ranging from 2 to 6 K,and SAO amplitudes from 1 to 4 K.The dependence of temperature on solar forcing was analyzed using the F10.7 index as a proxy,showing positive solar response coefficients at all altitudes,with a maximum of 15±1.1 K/100 SFU observed near 42–44 km.After removing the temperature response to solar cycle variations,a cooling trend in mid-latitude temperatures is evident across all altitudes,ranging from 3 to 6 K/decade.展开更多
In a world increasingly dominated by data,satellites,and artificial intelligence,it can be tempting to dismiss traditional systems of timekeeping as quaint relics of the past.Yet,the Chinese Twenty-Four Solar Terms(al...In a world increasingly dominated by data,satellites,and artificial intelligence,it can be tempting to dismiss traditional systems of timekeeping as quaint relics of the past.Yet,the Chinese Twenty-Four Solar Terms(also known as 24 Jieqi in Chinese)and the Javanese Pranata Mangsa-two ancient calendrical frameworks born from agrarian civilizations-continue to offer valuable insights into humanity’s relationship with nature.Far from being obsolete,these systems are increasingly recognized as cultural treasures embodying centuries of observation,adaptation,and agricultural wisdom.展开更多
Currently,challenges such as small object size and occlusion lead to a lack of accuracy and robustness in small object detection.Since small objects occupy only a few pixels in an image,the extracted features are limi...Currently,challenges such as small object size and occlusion lead to a lack of accuracy and robustness in small object detection.Since small objects occupy only a few pixels in an image,the extracted features are limited,and mainstream downsampling convolution operations further exacerbate feature loss.Additionally,due to the occlusionprone nature of small objects and their higher sensitivity to localization deviations,conventional Intersection over Union(IoU)loss functions struggle to achieve stable convergence.To address these limitations,LR-Net is proposed for small object detection.Specifically,the proposed Lossless Feature Fusion(LFF)method transfers spatial features into the channel domain while leveraging a hybrid attentionmechanism to focus on critical features,mitigating feature loss caused by downsampling.Furthermore,RSIoU is proposed to enhance the convergence performance of IoU-based losses for small objects.RSIoU corrects the inherent convergence direction issues in SIoU and proposes a penalty term as a Dynamic Focusing Mechanism parameter,enabling it to dynamically emphasize the loss contribution of small object samples.Ultimately,RSIoU significantly improves the convergence performance of the loss function for small objects,particularly under occlusion scenarios.Experiments demonstrate that LR-Net achieves significant improvements across variousmetrics onmultiple datasets compared with YOLOv8n,achieving a 3.7% increase in mean Average Precision(AP)on the VisDrone2019 dataset,along with improvements of 3.3% on the AI-TOD dataset and 1.2% on the COCO dataset.展开更多
Through its unique five-year planning system,China demonstrates how long-term,strategic policy continuity can effectively address both domestic and global challenges.
Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,...Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,the authors introduce the So Lo Mon framework,a comprehensive monitoring system developed for three large-scale landslides in the Autonomous Province of Bolzano,Italy.A web-based platform integrates various monitoring data(GNSS,topographic data,in-place inclinometer),providing a user-friendly interface for visualizing and analyzing the collected data.This facilitates the identification of trends and patterns in landslide behaviour,enabling the triggering of warnings and the implementation of appropriate mitigation measures.The So Lo Mon platform has proven to be an invaluable tool for managing the risks associated with large-scale landslides through non-structural measures and driving countermeasure works design.It serves as a centralized data repository,offering visualization and analysis tools.This information empowers decisionmakers to make informed choices regarding risk mitigation,ultimately ensuring the safety of communities and infrastructures.展开更多
Partial Differential Equations(PDEs)are model candidates of soft sensing for aero-engine health management units.The existing Physics-Informed Neural Networks(PINNs)have made achievements.However,unmeasurable aero-eng...Partial Differential Equations(PDEs)are model candidates of soft sensing for aero-engine health management units.The existing Physics-Informed Neural Networks(PINNs)have made achievements.However,unmeasurable aero-engine driving sources lead to unknown PDE driving terms,which weaken PINNs feasibility.To this end,Physically Informed Hierarchical Learning followed by Recurrent-Prediction Term(PIHL-RPT)is proposed.First,PIHL is proposed for learning nonhomogeneous PDE solutions,in which two networks NetU and NetG are constructed.NetU is for learning solutions satisfying PDEs;NetG is for learning driving terms to regularize NetU training.Then,we propose a hierarchical learning strategy to optimize and couple NetU and NetG,which are integrated into a data-physics-hybrid loss function.Besides,we prove PIHL-RPT can iteratively generate a series of networks converging to a function,which can approximate a solution to well-posed PDE.Furthermore,RPT is proposed for prediction improvement of PIHL,in which network NetU-RP is constructed to compensate for information loss caused by data sampling and driving sources’immeasurability.Finally,artificial datasets and practical vibration process datasets from our wear experiment platform are used to verify the feasibility and effectiveness of PIHL-RPT based soft sensing.Meanwhile,comparisons with relevant methods,discussions,and PIHL-RPT based health monitoring example are given.展开更多
This paper presents a sensitivity analysis method for analyzing the key factors affecting the stability problem of the transonic compressors.The adjoint method is integrated into the meridional stability model,a linea...This paper presents a sensitivity analysis method for analyzing the key factors affecting the stability problem of the transonic compressors.The adjoint method is integrated into the meridional stability model,a linear stability prediction model utilized to analyze the flow stability problem of the compressor,and the sensitivity analysis method is further developed for the flow stability problem of the compressor.The study selects the NASA Rot or 37,a transonic compressor,as the research object to verify the proposed method and explore the sensitive factors leading to the stall inception.The results of sensitivity analysis to both the flow parameters and the external source terms reveal that the stall inception is sensitive to the base flow field at the rotor tip and the stability margin of the compressor can be enhanced by improving the flow field at this region.Physical explanations are presented and discussed to correlate the three-dimensional flow field to the results obtained via the employed analysis method,which shows that flow structures and characteristics near the end-wall region,especially the tip leakage flow or the tip leakage vortex and its interaction with the shock wave,contribute to the stall inception.展开更多
To solve the problem of false edges in a flat region of l_(1)norm total variational TV model,an edge extractor based on non-local idea is proposed in this paper.The new edge extractor can effectively suppress the infl...To solve the problem of false edges in a flat region of l_(1)norm total variational TV model,an edge extractor based on non-local idea is proposed in this paper.The new edge extractor can effectively suppress the influence of noise and extract the edge information of the image.The new edge extractor is used as the adaptive function and the weighting function of the l_(p) norm variational model to control the noise reduction ability of the model,and a new model 1 is obtained.Considering that the new model 1 only uses the gradient mode as the image feature operator,which is insufficient to express the image texture information,a new level set curvature gradient variational model 2 combined with the edge extractor is proposed.The new model 2 uses the idea of minimum curvature of the level set of clear images to obtain noise reduction images.By coupling new model 1 and new model 2 to smooth the noise and protect more textures,a new Non-local level set denoising model(NLSDM)for image noise reduction is obtained.The experimental results show that compared with the noise reduction model,the new model has significantly improved the peak signal-to-noise ratio and structural similarity,and the effect of noise reduction and edge preservation is better.展开更多
BACKGROUND Necrotizing enterocolitis(NEC)remains a prominent gastrointestinal emergency among infants,particularly term infants with congenital heart defects(CHD)being at high risk.The molecular processes that contrib...BACKGROUND Necrotizing enterocolitis(NEC)remains a prominent gastrointestinal emergency among infants,particularly term infants with congenital heart defects(CHD)being at high risk.The molecular processes that contribute to NEC have yet to be completely understood.The high mortality rates necessitate an active search for noninvasive biomarkers that can aid in the preclinical diagnosis and prognosis of NEC.MicroRNAs(miRs),which are involved in many biological processes in both health and disease,have been discovered to play an important role in regulating inflammation and immune responses via various signaling pathways.AIM To determine the plasma levels of miR-155,miR-221,miR-223,miR-320a,miR-451a as potential NEC biomarkers in term newborns with CHD.METHODS This prospective cohort study included twenty-tree term newborns with CHD who underwent cardiac surgery on the median day of life(DOL)=7.Nine of them developed NEC(Bell’s stage IIA and IIIA)within 1 week of cardiac surgery(NEC newborns).Blood samples were collected before(median DOL=5)and following(median DOL=13)cardiac surgery.Levels of plasma miR-155-5p,miR-221-3p,miR-223-3p,miR-320a-3p,and miR-451a were determined using real-time polymerase chain reaction.The functional analysis was executed using the DIANA-miRPath v4.0.RESULTS Preoperatively,NEC newborns had significantly lower plasma levels of miR-155(2.70-fold,P=0.020),miR-223(2.42-fold,P=0.030),and miR-320a(3.62-fold,P=0.006)than newborns without NEC.Postoperatively,miR-451a levels differed significantly between the newborn groups,showing a 4.70-fold decrease(P=0.014)in expression when clinical NEC symptoms appeared.According to receiver operating characteristic analysis,miR-320a was found to be the most effective predictive biomarker for NEC[area under the curve(AUC)=0.835,63%sensitivity,100%specificity],while miR-451a was identified as a NEC biomarker(AUC=0.835,85.7%sensitivity,76.9%specificity).Preoperatively,miR-155-5p,miR-223-3p,and miR-320a-3p were differentially expressed and targeted the forkhead box O and Hippo pathways(P<0.01).CONCLUSION Our study demonstrates,for the first time,that plasma miR-320a-3p levels can be used as a preclinical biomarker for NEC in term newborns with CHD.展开更多
One of the cornerstones for guaranteeing the stability of wind generation and electric power system operation is wind speed prediction.This research offers a method based on Particle Swarm Optimization(PSO)to optimize...One of the cornerstones for guaranteeing the stability of wind generation and electric power system operation is wind speed prediction.This research offers a method based on Particle Swarm Optimization(PSO)to optimize the Bidirectional Long Short⁃term Memory Network(BiLSTM)in order to improve the wind speed prediction accuracy,taking into account the highly stochastic and regular aspects of wind speed.Firstly,the wind speed time sequence is subjected to the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN).The complexity of the wind speed pattern is reduced by decomposing it into components with different local feature information.The BiLSTM model,which incorporates the attention mechanism for prediction,is then fitted to the decomposed data,and its parameters are optimized using the particle swarm technique,reducing errors in predictive modeling.To get the final prediction,the components are finally superimposed.The empirical evidence shows that the CEEMDAN⁃PSO⁃BiLSTM⁃attention model decreases the RMSE(Root⁃Mean⁃Square⁃Error)by 15%-44%,the MAE by 18%-45%,the MAPE by 24%-52%,and the R2 by 1.4%-2.7%in comparison to the BiLSTM and other models.The validation of CEEMDAN⁃PSO⁃BiLSTM⁃attention model in short⁃term wind speed prediction is verified.展开更多
Seawater electrolysis is promising for green hydrogen production, while its application is inhibited by sluggish anodic oxygen evolution reaction (OER) and rapid chloride corrosion‐induced electrode deactivation. Her...Seawater electrolysis is promising for green hydrogen production, while its application is inhibited by sluggish anodic oxygen evolution reaction (OER) and rapid chloride corrosion‐induced electrode deactivation. Herein, we report a conductive and ion‐ selective OER electrocatalyst with a CoFe alloy core and microporous metal‐doped carbon shell. Co/Fe‐N_(4)‐C active sites in the shell optimize the adsorption strength of intermediates and synergize with the metal core to endow the catalyst with high OER activity and selectivity, while the rich ultra‐micropores in the shell demonstrate a significant sieving effect to hinder Cl− transfer, thus protecting the inner Co/Fe‐N_(4)‐C active sites and metal core from Cl− corrosion. The catalyst is assembled in an alkaline seawater electrolyzer with an electrode geometric area of 254 cm^(2) and delivers a current density of 3000 A m^(-2) at 1.85 V for 330 h. Such catalysts can be synthesized in a large batch (100 g), providing sound opportunities for industrial seawater splitting.展开更多
Spanish scholars decode China’s five-year planning as a strategic governance model that ensures long-term national development through continuity,popular participation,and adaptability,offering valuable insights for ...Spanish scholars decode China’s five-year planning as a strategic governance model that ensures long-term national development through continuity,popular participation,and adaptability,offering valuable insights for global governance.展开更多
基金Supported by Scientific Research Fund of Hunan Provincial Education Departmen(t23A0361)。
文摘An evolution inequality of Sobolev type involving a nonlinear convolution term is considered.By using the nonlinear capacity method and the contradiction argument,the non-existence of the nontrivial local weak solution is proved.
基金Hunan Province Social Science Achievements Evaluation Committee Project(XSP2023WXC039)Scientific Research Fund of Hunan Provincial Education Department(22B1037)。
文摘Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies in the translation of Qigong terms,such as a lack of systematicity and inconsistent translations.Based on hermeneutics theory,this study analyzes the factors influencing the acceptance of Qigong term translations,and constructs an evaluation model for translation acceptance,covering three dimensions:culture,language,and readers.Accordingly,translation strategies are proposed,including culturally adaptive translation,optimization of language structure,reader stratification strategies,horizon fusion,and the hermeneutic circle,etc.The aim is to balance the cultural connotations and readers’acceptance,and to promote the international communication of Qigong culture.
基金supported by the Government of Catalonia,and the ETOS project(TED2021-132032A-I00)supported by the Spanish Ministry of Science and Innovation.
文摘This article aims to analyze the repercussions of food trade between China and various regions of the world to understand the dynamics of food flows and offer a novel perspective on the contemporary globalization process.Understanding these flows involves analyzing the global production and commercialization of food and the effects of these movements on exporting and importing countries in economic terms and food security.The concept of unequal caloric exchange is applied to the case of China,which allows for an understanding of how its economic growth and participation in international trade have transformed its global and internal commercial dynamics by establishing links with self-sufficiency and the composition of its population’s diet.The results show that China is increasingly dependent on international markets for its food supply.From 1961 to 2021,food consumption in China has tripled in calories and experienced qualitative changes,with a reduction in high-quality carbohydrates and vegetable proteins and an increase in cereals,vegetable oils,alcohol,and vegetables.This dietary transformation is related to economic growth and greater dependence on international trade.From 1987 to 2022,China has shown a growing deficit in the food trade balance,with imports exceeding exports in volume,value,and calories,although it maintains favorable terms of trade.Food self-sufficiency has decreased from 95%in 1961 to 76%in 2022,and the diet has diversified,replacing traditional foods with products demanded in international trade.
基金USST Construction Project of English-Taught Courses for International Students in 2024USST Teaching Achievement Award(Postgraduate)Cultivation Project in 2024.
文摘Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.
基金sponsored by the Humanities and Social Sciences Project of the Ministry of Education under Grant No.24YJCZH443Shanghai Philosophy and Social Science Planning Project under Grant No.2024EYY015Shanghai Municipal Philosophy and Social Sciences Planning Project under Grant No.2024EYY011.
文摘This study investigates translation strategies for Chinese cultural terms in academic texts through a case study of Chapter 7 from“Jade Myth Belief and Chinese Spirit”.Using a qualitative research approach based on cultural context framework and cognitive model,the study analyzes translation challenges and solutions in rendering cultural terms related to jade mythology and archaeological concepts.The research identifies three primary translation strategies:transliteration with annotation,domestication with explanation,and cognitive-based translation.The findings reveal that effective translation requires a balanced approach between maintaining academic precision and preserving cultural authenticity.The study demonstrates that successful translation of cultural terms in academic contexts demands a sophisticated understanding of both source and target cultural contexts,along with careful consideration of the academic audience’s needs.This research contributes to the field by providing practical insights for translators working with Chinese cultural texts in academic settings and proposing an approach to handling complex cultural terminology.
基金supported by the National Science Foundation of China under Grant Nos.12305009(XYC)and 11834005(QHC)the China Postdoctoral Science Foundation under Grant No.2022M720387(XYC).
文摘It is well known that the A-square term must be considered in both cavity and circuit quantum electrodynamics systems,because it arises in the derivation from the minimal coupling Hamiltonian at any finite coupling strength.In this paper,we study the quantum Rabi model with A-square terms using the Bogoliubov operator approach.After a unitary transformation,the A-square terms can be eliminated,resulting in a modified quantum Rabi model with renormalized parameters.A transcendental function responsible for the exact solution is then derived.The presence of the A-square terms is found to significantly alter the energy spectrum.The dynamics are also studied using the obtained exact wave function,which is sensitive to the strength of the A-square terms at strong coupling.We believe that these results could be observed in future light–matter interaction systems in the ultra-strong and deep strong coupling regimes.
基金supported by the National Natural Sciences Foundation of China(No.62363005)。
文摘In this paper,we investigate the blow-up phenomenon for a class of logarithmic viscoelastic equations with delay and nonlocal terms under acoustic boundary conditions.Using the energy method,we prove that nontrivial solutions with negative initial energy will blow up in finite time,and provide an upper bound estimate for the blow-up time.Additionally,we also derive a lower bound estimate for the blow-up time.
基金supported by the National Natural Science Foundation of China(Grant 42125402,42174183 and 42304165)the National Key Technologies R&D Program of China(Grant 2022YFF0503703)+7 种基金the B-type Strategic Priority Program of CAS(Grant XDB0780000)the Chinese Meridian Projectthe Fundamental Research Funds for the Central Universitiesthe Joint Open Fund of Mengcheng National Geophysical Observatory(MENGO-202406,MENGO-202407)the National Natural Science Foundation of China(NSFC)Distinguished Overseas Young Talents ProgramBasic Research Project of the National Key Laboratory of Deep Space Exploration(NKLDSE2023A002)the Pre-research project on Civil Aerospace Technologies No.D010305 and D010301 funded by China National Space Administration(CNSA)Supported by the Specialized Research Fund for State Key Laboratory of Solar Activity and Space Weathe.
文摘In this study,the climatology and long-term trends of middle atmospheric temperatures at mid-latitudes are investigated using Rayleigh/Sodium lidar observations collected from January 2010 to December 2021 over Hefei,China(32°N,117°E).The seasonal variations and vertical profiles of lidar-derived temperatures demonstrate strong agreement with temperature measurements from the Microwave Limb Sounder(MLS)instrument on the Earth Observing System(EOS)Aura satellite.In terms of seasonal variation,middle atmospheric temperatures primarily exhibit annual oscillations(AO)and semi-annual oscillations(SAO).Harmonic analysis of the lidar and MLS temperature data reveals close phase alignment for both AO and SAO,with AO amplitudes ranging from 2 to 6 K,and SAO amplitudes from 1 to 4 K.The dependence of temperature on solar forcing was analyzed using the F10.7 index as a proxy,showing positive solar response coefficients at all altitudes,with a maximum of 15±1.1 K/100 SFU observed near 42–44 km.After removing the temperature response to solar cycle variations,a cooling trend in mid-latitude temperatures is evident across all altitudes,ranging from 3 to 6 K/decade.
文摘In a world increasingly dominated by data,satellites,and artificial intelligence,it can be tempting to dismiss traditional systems of timekeeping as quaint relics of the past.Yet,the Chinese Twenty-Four Solar Terms(also known as 24 Jieqi in Chinese)and the Javanese Pranata Mangsa-two ancient calendrical frameworks born from agrarian civilizations-continue to offer valuable insights into humanity’s relationship with nature.Far from being obsolete,these systems are increasingly recognized as cultural treasures embodying centuries of observation,adaptation,and agricultural wisdom.
基金supported by Chongqing Municipal Commission of Housing and Urban-Rural Development(Grant No.CKZ2024-87)China Chongqing Municipal Science and Technology Bureau(Grant No.2024TIAD-CYKJCXX0121).
文摘Currently,challenges such as small object size and occlusion lead to a lack of accuracy and robustness in small object detection.Since small objects occupy only a few pixels in an image,the extracted features are limited,and mainstream downsampling convolution operations further exacerbate feature loss.Additionally,due to the occlusionprone nature of small objects and their higher sensitivity to localization deviations,conventional Intersection over Union(IoU)loss functions struggle to achieve stable convergence.To address these limitations,LR-Net is proposed for small object detection.Specifically,the proposed Lossless Feature Fusion(LFF)method transfers spatial features into the channel domain while leveraging a hybrid attentionmechanism to focus on critical features,mitigating feature loss caused by downsampling.Furthermore,RSIoU is proposed to enhance the convergence performance of IoU-based losses for small objects.RSIoU corrects the inherent convergence direction issues in SIoU and proposes a penalty term as a Dynamic Focusing Mechanism parameter,enabling it to dynamically emphasize the loss contribution of small object samples.Ultimately,RSIoU significantly improves the convergence performance of the loss function for small objects,particularly under occlusion scenarios.Experiments demonstrate that LR-Net achieves significant improvements across variousmetrics onmultiple datasets compared with YOLOv8n,achieving a 3.7% increase in mean Average Precision(AP)on the VisDrone2019 dataset,along with improvements of 3.3% on the AI-TOD dataset and 1.2% on the COCO dataset.
文摘Through its unique five-year planning system,China demonstrates how long-term,strategic policy continuity can effectively address both domestic and global challenges.
基金funded by the So Lo Mon project“Monitoraggio a Lungo Termine di Grandi Frane basato su Sistemi Integrati di Sensori e Reti”(Longterm monitoring of large-scale landslides based on integrated systems of sensors and networks),Program EFRE-FESR 2014–2020,Project EFRE-FESR4008 South Tyrol–Person in charge:V.Mair。
文摘Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,the authors introduce the So Lo Mon framework,a comprehensive monitoring system developed for three large-scale landslides in the Autonomous Province of Bolzano,Italy.A web-based platform integrates various monitoring data(GNSS,topographic data,in-place inclinometer),providing a user-friendly interface for visualizing and analyzing the collected data.This facilitates the identification of trends and patterns in landslide behaviour,enabling the triggering of warnings and the implementation of appropriate mitigation measures.The So Lo Mon platform has proven to be an invaluable tool for managing the risks associated with large-scale landslides through non-structural measures and driving countermeasure works design.It serves as a centralized data repository,offering visualization and analysis tools.This information empowers decisionmakers to make informed choices regarding risk mitigation,ultimately ensuring the safety of communities and infrastructures.
基金supported in part by the National Science and Technology Major Project of China(No.2019-I-0019-0018)the National Natural Science Foundation of China(Nos.61890920,61890921,12302065 and 12172073).
文摘Partial Differential Equations(PDEs)are model candidates of soft sensing for aero-engine health management units.The existing Physics-Informed Neural Networks(PINNs)have made achievements.However,unmeasurable aero-engine driving sources lead to unknown PDE driving terms,which weaken PINNs feasibility.To this end,Physically Informed Hierarchical Learning followed by Recurrent-Prediction Term(PIHL-RPT)is proposed.First,PIHL is proposed for learning nonhomogeneous PDE solutions,in which two networks NetU and NetG are constructed.NetU is for learning solutions satisfying PDEs;NetG is for learning driving terms to regularize NetU training.Then,we propose a hierarchical learning strategy to optimize and couple NetU and NetG,which are integrated into a data-physics-hybrid loss function.Besides,we prove PIHL-RPT can iteratively generate a series of networks converging to a function,which can approximate a solution to well-posed PDE.Furthermore,RPT is proposed for prediction improvement of PIHL,in which network NetU-RP is constructed to compensate for information loss caused by data sampling and driving sources’immeasurability.Finally,artificial datasets and practical vibration process datasets from our wear experiment platform are used to verify the feasibility and effectiveness of PIHL-RPT based soft sensing.Meanwhile,comparisons with relevant methods,discussions,and PIHL-RPT based health monitoring example are given.
基金supported by the National Natural Science Foundation of China(Nos.52306036,52325602 and U2441279)the National Science and Technology Major Project,China(Nos.Y2022-Ⅱ-0003-0006 and Y2022-Ⅱ-0002-0005)supported by the Project of National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics,China(Nos.6142702200101 and 2024-CXPT-GF-JJ-88-0103)。
文摘This paper presents a sensitivity analysis method for analyzing the key factors affecting the stability problem of the transonic compressors.The adjoint method is integrated into the meridional stability model,a linear stability prediction model utilized to analyze the flow stability problem of the compressor,and the sensitivity analysis method is further developed for the flow stability problem of the compressor.The study selects the NASA Rot or 37,a transonic compressor,as the research object to verify the proposed method and explore the sensitive factors leading to the stall inception.The results of sensitivity analysis to both the flow parameters and the external source terms reveal that the stall inception is sensitive to the base flow field at the rotor tip and the stability margin of the compressor can be enhanced by improving the flow field at this region.Physical explanations are presented and discussed to correlate the three-dimensional flow field to the results obtained via the employed analysis method,which shows that flow structures and characteristics near the end-wall region,especially the tip leakage flow or the tip leakage vortex and its interaction with the shock wave,contribute to the stall inception.
基金funded by National Nature Science Foundation of China,grant number 61302188.
文摘To solve the problem of false edges in a flat region of l_(1)norm total variational TV model,an edge extractor based on non-local idea is proposed in this paper.The new edge extractor can effectively suppress the influence of noise and extract the edge information of the image.The new edge extractor is used as the adaptive function and the weighting function of the l_(p) norm variational model to control the noise reduction ability of the model,and a new model 1 is obtained.Considering that the new model 1 only uses the gradient mode as the image feature operator,which is insufficient to express the image texture information,a new level set curvature gradient variational model 2 combined with the edge extractor is proposed.The new model 2 uses the idea of minimum curvature of the level set of clear images to obtain noise reduction images.By coupling new model 1 and new model 2 to smooth the noise and protect more textures,a new Non-local level set denoising model(NLSDM)for image noise reduction is obtained.The experimental results show that compared with the noise reduction model,the new model has significantly improved the peak signal-to-noise ratio and structural similarity,and the effect of noise reduction and edge preservation is better.
基金Supported by The Russian Science Foundation,No.19-75-20076.
文摘BACKGROUND Necrotizing enterocolitis(NEC)remains a prominent gastrointestinal emergency among infants,particularly term infants with congenital heart defects(CHD)being at high risk.The molecular processes that contribute to NEC have yet to be completely understood.The high mortality rates necessitate an active search for noninvasive biomarkers that can aid in the preclinical diagnosis and prognosis of NEC.MicroRNAs(miRs),which are involved in many biological processes in both health and disease,have been discovered to play an important role in regulating inflammation and immune responses via various signaling pathways.AIM To determine the plasma levels of miR-155,miR-221,miR-223,miR-320a,miR-451a as potential NEC biomarkers in term newborns with CHD.METHODS This prospective cohort study included twenty-tree term newborns with CHD who underwent cardiac surgery on the median day of life(DOL)=7.Nine of them developed NEC(Bell’s stage IIA and IIIA)within 1 week of cardiac surgery(NEC newborns).Blood samples were collected before(median DOL=5)and following(median DOL=13)cardiac surgery.Levels of plasma miR-155-5p,miR-221-3p,miR-223-3p,miR-320a-3p,and miR-451a were determined using real-time polymerase chain reaction.The functional analysis was executed using the DIANA-miRPath v4.0.RESULTS Preoperatively,NEC newborns had significantly lower plasma levels of miR-155(2.70-fold,P=0.020),miR-223(2.42-fold,P=0.030),and miR-320a(3.62-fold,P=0.006)than newborns without NEC.Postoperatively,miR-451a levels differed significantly between the newborn groups,showing a 4.70-fold decrease(P=0.014)in expression when clinical NEC symptoms appeared.According to receiver operating characteristic analysis,miR-320a was found to be the most effective predictive biomarker for NEC[area under the curve(AUC)=0.835,63%sensitivity,100%specificity],while miR-451a was identified as a NEC biomarker(AUC=0.835,85.7%sensitivity,76.9%specificity).Preoperatively,miR-155-5p,miR-223-3p,and miR-320a-3p were differentially expressed and targeted the forkhead box O and Hippo pathways(P<0.01).CONCLUSION Our study demonstrates,for the first time,that plasma miR-320a-3p levels can be used as a preclinical biomarker for NEC in term newborns with CHD.
基金Sponsored by Science Research Project of Liaoning Education Department(Grant No.LJKZ0143)Open Project of State Key Laboratory of Syn⁃thetical Automation for Process Industries(Grant No.2023⁃kfkt⁃01).
文摘One of the cornerstones for guaranteeing the stability of wind generation and electric power system operation is wind speed prediction.This research offers a method based on Particle Swarm Optimization(PSO)to optimize the Bidirectional Long Short⁃term Memory Network(BiLSTM)in order to improve the wind speed prediction accuracy,taking into account the highly stochastic and regular aspects of wind speed.Firstly,the wind speed time sequence is subjected to the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN).The complexity of the wind speed pattern is reduced by decomposing it into components with different local feature information.The BiLSTM model,which incorporates the attention mechanism for prediction,is then fitted to the decomposed data,and its parameters are optimized using the particle swarm technique,reducing errors in predictive modeling.To get the final prediction,the components are finally superimposed.The empirical evidence shows that the CEEMDAN⁃PSO⁃BiLSTM⁃attention model decreases the RMSE(Root⁃Mean⁃Square⁃Error)by 15%-44%,the MAE by 18%-45%,the MAPE by 24%-52%,and the R2 by 1.4%-2.7%in comparison to the BiLSTM and other models.The validation of CEEMDAN⁃PSO⁃BiLSTM⁃attention model in short⁃term wind speed prediction is verified.
基金Funding provided by the National Key R&D Program of China(Grant No.2021YFB3801301)National Natural Science Foundation of China(Grant Nos.22378119,22075076,and 22208092)the Key R&D Plan for Science and Technology in Huai'an City(Industrial Category,HAG202301).
文摘Seawater electrolysis is promising for green hydrogen production, while its application is inhibited by sluggish anodic oxygen evolution reaction (OER) and rapid chloride corrosion‐induced electrode deactivation. Herein, we report a conductive and ion‐ selective OER electrocatalyst with a CoFe alloy core and microporous metal‐doped carbon shell. Co/Fe‐N_(4)‐C active sites in the shell optimize the adsorption strength of intermediates and synergize with the metal core to endow the catalyst with high OER activity and selectivity, while the rich ultra‐micropores in the shell demonstrate a significant sieving effect to hinder Cl− transfer, thus protecting the inner Co/Fe‐N_(4)‐C active sites and metal core from Cl− corrosion. The catalyst is assembled in an alkaline seawater electrolyzer with an electrode geometric area of 254 cm^(2) and delivers a current density of 3000 A m^(-2) at 1.85 V for 330 h. Such catalysts can be synthesized in a large batch (100 g), providing sound opportunities for industrial seawater splitting.
文摘Spanish scholars decode China’s five-year planning as a strategic governance model that ensures long-term national development through continuity,popular participation,and adaptability,offering valuable insights for global governance.
