Characterizing shale oil reservoirs encompassing pore space,mineralogy,and fluids is fundamental to effective exploration and development.Recent advances in experimental techniques have significantly improved both the...Characterizing shale oil reservoirs encompassing pore space,mineralogy,and fluids is fundamental to effective exploration and development.Recent advances in experimental techniques have significantly improved both the qualitative and quantitative analysis of these components;however,a comprehensive systematic review is lacking.High-resolution imaging technologies,such as Scanning Electron Microscopy(SEM),Field Emission Scanning Electron Microscopy(FE-SEM),and Focused Ion Beam Scanning Electron Microscopy(FIB-SEM),enable detailed visualization of pore structures.Gas adsorption and high-pressure mercury intrusion methods provide accurate pore-scale quantification.Moreover,techniques like X-ray Diffraction(XRD),X-ray Fluorescence Spectroscopy(XRF),and Electron Probe Microanalysis(EPMA)allow precise mineral identification and compositional analysis.Confocal Scanning Laser Microscopy(CSLM),Raman Spectroscopy,Nuclear Magnetic Resonance(NMR),and Rock Pyrolysis provide insights into fluid occurrence and content within shale reservoirs.Based on a comprehensive review of existing research,this study identifies several key future directions:(1)addressing the challenges of nanopore observation in reservoir space characterization while minimizing the impact of sample preparation on pore structure;(2)improving the accuracy of quantitative mineral analysis and developing advanced new technologies for the precise measurement of complex mineral compositions;(3)enhancing the fluid quantitative evaluation of fluids by more effectively restoring subsurface geological conditions.This paper presents a current synthesis and forward-looking perspective on experimental techniques supporting shale oil exploration,aiming to guide future research and technological innovation in this field.展开更多
The method of characteristics(MoC)is a well-established tool for lattice physics calculations,offering advantages such as accurate representation of both lattice geometry and boundary conditions.The flat source(FS)app...The method of characteristics(MoC)is a well-established tool for lattice physics calculations,offering advantages such as accurate representation of both lattice geometry and boundary conditions.The flat source(FS)approximation is the most commonly used approach,whereas the linear source(LS)approximation enhances the accuracy by preserving the higherorder spatial moments of the neutron source.However,determining the order of accuracy(OoA)for spatial discretization in the MoC is challenging,particularly for the LS approximation.This complexity arises because MoC employs two spatial meshes:the fission source region(FSR)mesh and a set of characteristic rays used to integrate the transport equation over the FSR mesh.In this study,we analyzed the spatial order of accuracy of the MoC in planar geometry for both FS and LS approximations in relation to the distributed source.Our theoretical predictions are consistent with the numerical results obtained using the Method of Manufactured Solutions(MMS).The results demonstrate that the FS approximation achieves second-order accuracy,whereas the LS approximation attains fourth-order accuracy.展开更多
Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance ...Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.展开更多
Image processing techniques were employed to analyze the ink dispersion process in a tundish water model,providing quantitative parameters to evaluate fluid flow dynamics.Key parameters,including filling time,dead are...Image processing techniques were employed to analyze the ink dispersion process in a tundish water model,providing quantitative parameters to evaluate fluid flow dynamics.Key parameters,including filling time,dead area fraction,area emptying time,peak concentration time,dead concentration fraction,and concentration emptying time,were introduced.Orthogonal tests were conducted to investigate the effects of dam spacing,height,and openings on tundish flow behavior.Results revealed that the dam spacing of 3760 mm yielded the shortest filling and peak concentration time,while the 4760 mm spacing minimized dead area and concentration fractions.Taller dams(620 mm)reduced dead area fractions but extended peak concentration time.Dams with openings demonstrated improved flow dynamics,reducing both dead area and concentration fractions,as well as emptying time.The consistency between dye experiments and residence time distribution experiments highlights the reliability of these parameters for optimizing tundish design and operation.展开更多
Melanoma,a highly aggressive form of skin cancer,is characterized by complex metabolic reprogramming that drives its metastatic potential and therapy resistance.While localized melanoma can be treated effectively,meta...Melanoma,a highly aggressive form of skin cancer,is characterized by complex metabolic reprogramming that drives its metastatic potential and therapy resistance.While localized melanoma can be treated effectively,metastatic melanoma remains largely incurable,creating an urgent need for methods enabling early diagnosis and prognosis.In this review,we summarize recent efforts toward addressing these clinical challenges by nonlinear optical techniques,particularly pump-probe microscopy and vibrational spectroscopy,developed for in vivo investigation of key molecular changes in melanoma progression.These techniques enable label-free,real-time imaging of two critical components in melanoma progression:melanin and lipid droplets,respectively,providing unique insights into molecular mechanisms of melanoma progression.Future research directions focus on transforming these imaging techniques to enhance their clinical applicability and further investigation of the metabolic vulnerabilities of melanoma.展开更多
Synaptic pruning is a crucial process in synaptic refinement,eliminating unstable synaptic connections in neural circuits.This process is triggered and regulated primarily by spontaneous neural activity and experience...Synaptic pruning is a crucial process in synaptic refinement,eliminating unstable synaptic connections in neural circuits.This process is triggered and regulated primarily by spontaneous neural activity and experience-dependent mechanisms.The pruning process involves multiple molecular signals and a series of regulatory activities governing the“eat me”and“don't eat me”states.Under physiological conditions,the interaction between glial cells and neurons results in the clearance of unnecessary synapses,maintaining normal neural circuit functionality via synaptic pruning.Alterations in genetic and environmental factors can lead to imbalanced synaptic pruning,thus promoting the occurrence and development of autism spectrum disorder,schizophrenia,Alzheimer's disease,and other neurological disorders.In this review,we investigated the molecular mechanisms responsible for synaptic pruning during neural development.We focus on how synaptic pruning can regulate neural circuits and its association with neurological disorders.Furthermore,we discuss the application of emerging optical and imaging technologies to observe synaptic structure and function,as well as their potential for clinical translation.Our aim was to enhance our understanding of synaptic pruning during neural development,including the molecular basis underlying the regulation of synaptic function and the dynamic changes in synaptic density,and to investigate the potential role of these mechanisms in the pathophysiology of neurological diseases,thus providing a theoretical foundation for the treatment of neurological disorders.展开更多
In-situ stress is a key parameter for underground mine design and rock stability analysis.The borehole overcoring technique is widely used for in-situ stress measurement,but the rheological recovery deformation of roc...In-situ stress is a key parameter for underground mine design and rock stability analysis.The borehole overcoring technique is widely used for in-situ stress measurement,but the rheological recovery deformation of rocks after stress relief introduces errors.To improve accuracy,this study proposes an in-situ stress solution theory that incorporates time-dependent stress relief effects.Triaxial stepwise loadingunloading rheological tests on granite and siltstone established quantitative relationships between instantaneous elastic recovery and viscoelastic recovery under different stress levels,confirming their impact on measurement accuracy.By integrating a dual-class elastic deformation recovery model,an improved in-situ stress solution theory was derived.Additionally,accounting for the nonlinear characteristics of rock masses,a determination method for time-dependent nonlinear mechanical parameters was proposed.Based on the CSIRO hollow inclusion strain cell,time-dependent strain correction equations and long-term confining pressure calibration equations were formulated.Finally,the proposed theory was successfully applied at one iron mine(736 m depth)in Xinjiang,China,and one coal mine(510 m depth)in Ningxia,China.Compared to classical theory,the calculated mean stress values showed accuracy improvements of 6.0%and 9.4%,respectively,validating the applicability and reliability of the proposed theory.展开更多
Seismic amplitude variation with offset(AVO)inversion is a cornerstone of oil and gas reservoir prediction,enabling the estimation of subsurface elastic parameters and characterization of stratigraphic interfaces.Howe...Seismic amplitude variation with offset(AVO)inversion is a cornerstone of oil and gas reservoir prediction,enabling the estimation of subsurface elastic parameters and characterization of stratigraphic interfaces.However,balancing inversion accuracy and computational efficiency remains a critical challenge.To address this,we propose a novel probabilistic AVO inversion framework integrating three key innovations.First,we derive a high-precision quadratic approximation for compressional(P-wave)reflectivity by retaining first-and second-order terms from the exact Zoeppritz equations through a perturbation strategy.This approach significantly enhances accuracy compared to conventional linear approximations,particularly in reflecting the true amplitude variation at large angles.Subsequently,to improve lateral continuity and stratigraphic resolution,we introduce an instantaneous phase constraint derived via the Hilbert transform.This constraint leverages phase sensitivity to seismic waveform coherence,ensuring geologically consistent interface characterization during stochastic inversion.Furthermore,we develop a hybrid Markov Chain Monte Carlo(MCMC)algorithm combining adaptive Gibbs sampling with the independent doubly adaptive rejection Metropolis sampling(IA2RMS)method.This framework efficiently samples high-dimensional posterior probability density functions(PDFs)of elastic pa rameters:Gibbs sampling gene rates adaptive proposal distributions,while IA2RMS accele rates Markov chain convergence through location-and scale-adjustable proposals.Numerical experiments and field seismic data demonstrate the robustness and feasibility of the proposed probabilistic AVO inversion method.展开更多
The accelerating development of wearable electronics encompassing flexible sensors,displays,and health monitoring systems has driven strong demand for lightweight,deformable,and high-performance energy storage technol...The accelerating development of wearable electronics encompassing flexible sensors,displays,and health monitoring systems has driven strong demand for lightweight,deformable,and high-performance energy storage technologies.With the increasing attention in these fields,flexible and wearable supercapacitors(FSCs)have gained significant attention due to their fast charge-discharge rates,excellent mechanical resilience,and longterm cycling stability.This review presents a comprehensive analysis of recent advances in FSC research,focusing on both material-level engineering and device-level integration.Electrode materials,including carbonbased frameworks,transition metal-based materials,conductive polymers,and their hybrids,are critically examined,with an emphasis on structural design strategies.Fabrication techniques are discussed by dimensional configuration,including 1D fiber-shaped,2D planar,and multidimensional structures,with a focus on scalable and application-oriented processes.Furthermore,representative demonstrations in wearable,transparent,and sensor-integrated devices are explored to illustrate the practical potential of FSCs.Finally,future directions are proposed,including light and moisture stability,as well as electrolyte degradation,to realize next-generation multifunctional flexible energy storage systems.展开更多
The Branched Multi-point Approximation(BMA)method holds immense potential in tackling topology optimization challenges involving discrete variables.This research focuses on enhancing the adaptability,approximation eff...The Branched Multi-point Approximation(BMA)method holds immense potential in tackling topology optimization challenges involving discrete variables.This research focuses on enhancing the adaptability,approximation efficiency and engineering application of the method.Four key advancements are presented below.Firstly,an adjusted BMA function is introduced,which comprehensively incorporates the topologies of known and current points,utilizing topological difference between them as the foundation for function segmentation.This function further mitigates singularities as continuous variables approach zero,and is verified for its approximation capability through randomized numerical simulations.Secondly,the concept of adjacent individuals is proposed to ensure that the topological disparities between the current point and current optimal solution remain within manageable limits.This approach prevents approximation failures while maintaining the diversity of the population generated by genetic algorithm.Thirdly,for optimizing continuous variable in complex problems,an improved separable-variable approximation is formulated to ensure strong duality validity.Finally,an adaptive technique for move limit of the retained continuous variables is established.Benchmark examples demonstrate the effectiveness of the improved method in iterations and optimal results.Optimization systems capable of performing topology optimization for spacecraft such as stiffened satellite and carrier rocket have been rare in prior research.展开更多
In this paper we study the hydrostatic approximation of the Navier-Stokes-alpha(NS-α)small initial data in appropriate analytic function spaces.We also justify this approximation by proving the convergence of the Nav...In this paper we study the hydrostatic approximation of the Navier-Stokes-alpha(NS-α)small initial data in appropriate analytic function spaces.We also justify this approximation by proving the convergence of the Navier-Stokes-alpha system towards its hydrostatic limit.展开更多
Wildfires have emerged as a significant global challenge,driven by rising temperatures,prolonged droughts,shifting precipitation patterns due to climate change,and human-induced land-use changes such as deforestation,...Wildfires have emerged as a significant global challenge,driven by rising temperatures,prolonged droughts,shifting precipitation patterns due to climate change,and human-induced land-use changes such as deforestation,urban expansion,and agricultural intensification.Their increasing frequency and severity threaten ecosystems,human health,infrastructure,and economic resources,necessitating effective prediction,detection,and management strategies.This review provides a comprehensive assessment of geospatial techniques and their integration with Artificial Intelligence(AI)and Machine Learning(ML)approaches for wildfire monitoring,mapping,and prediction.Various platforms,including ground-based observations,satellite remote sensing,and unoccupied aerial vehicles(UAVs),are evaluated for their capabilities and limitations.Traditional methods,such as visual observations and ground-based sensors,are discussed,highlighting constraints in spatial coverage,timeliness,and scalability.Satellite-based remote sensing,with its wide area coverage and multi-temporal data acquisition,enables the derivation of key fire-related parameters,including vegetation indices,land surface temperature,and burned area mapping.UAV-based systems complement satellites by providing high-resolution imagery and facilitating access to remote or hazardous locations,enhancing early detection and monitoring.Furthermore,the integration of AI/ML algorithms with multi-source datasets has revolutionized wildfire modeling,enabling more accurate fire prediction and risk assessment.The review also explores emerging challenges,including data heterogeneity,real-time processing requirements,and the integration of diverse data sources,while emphasizing the need for robust computational infrastructure and collaborative frameworks.Unlike previous reviews that focus on individual aspects,this study uniquely synthesizes multi-source geospatial datasets,advanced AI/ML techniques,and bibliometric co-occurrence analysis to identify research hotspots,knowledge gaps,and future directions.By providing a holistic framework for next-generation wildfire monitoring and risk assessment,this review contributes to the development of effective fire management strategies,promoting environmental sustainability,community resilience,and informed decision-making.展开更多
To address the issue that static densest subgraph mining algorithms often exhibit low efficiency when handling large scale dynamic graphs,this paper proposes a heuristic approximation algorithm.The algorithm approxima...To address the issue that static densest subgraph mining algorithms often exhibit low efficiency when handling large scale dynamic graphs,this paper proposes a heuristic approximation algorithm.The algorithm approximates the densest k-subgraphs of the entire graph through four steps:partitioning the large-scale dynamic graph,constructing a partial set of the densest k-subgraphs,heuristically merging the subgraph sets,and finally extracting the densest k-subgraphs.This approach significantly reduces the computational time for large-scale dynamic graphs while simultaneously improving the quality of the resulting subgraphs.This algorithm is applicable to various definitions of“density”and can accommodate diverse requirements on the number of edges.When integrated with existing static densest subgraph detection algorithms,it achieves scalability and computational efficiency.Theoretical analysis demonstrates that the optimal density of the densest k-subgraphs extracted by the proposed algorithm reaches 0.9.To evaluate the performance of the algorithm,experiments were conducted on four billion-scale datasets:Friendster,Orkut,YouTube,and DBLP.The results indicate that the proposed algorithm outperforms static methods in both runtime efficiency and subgraph quality on large-scale dynamic graphs.展开更多
Heat exchangers play a crucial role in thermal energy systems,with their performance directly impacting efficiency,cost,and environmental impact.Apowerful technique for performance improvement can be given by passive ...Heat exchangers play a crucial role in thermal energy systems,with their performance directly impacting efficiency,cost,and environmental impact.Apowerful technique for performance improvement can be given by passive enhancement strategies,which are characterized by their dependability and minimal external power requirements.This comprehensive review critically assesses recent advancements in such passive methods to evaluate their heat transfer mechanisms,performance characteristics,and practical implementation challenges.Our methodology involves a systematic and comprehensive analysis of various heat transfer enhancement techniques,including surface modifications,extended surfaces,swirl flow devices,and tube inserts.This approach synthesizes and integrates findings from a broad spectrum of experimental investigations and numerical simulations to establish a cohesive understanding of their performance characteristics and underlyingmechanisms.Based on the findings,passive heat transfer techniques result in significant improvements in thermal performance;for instance,corrugated and roughened surfaces increase the heat transfer coefficient by 50%–200%,and advanced insert geometries,such as modified twisted tapes,can increase it by more than 300%,typically accompanied by significant pressure-drop penalties.However,an important finding is the general trade-off between enhanced heat transfer and higher frictional loss,which requires optimization depending on the applications.Finally,this review also provides recommendations that will document the gaps of various passive techniques in heat exchangers to future address.展开更多
Objectives:Retrograde intrarenal surgery(RIRS)has become an increasingly preferred minimally invasive option for the management of kidney stones.However,postoperative pain remains a major clinical concern that may adv...Objectives:Retrograde intrarenal surgery(RIRS)has become an increasingly preferred minimally invasive option for the management of kidney stones.However,postoperative pain remains a major clinical concern that may adversely affect patient comfort and recovery.This study aimed to evaluate whether intraluminal administration of lidocaine at the end of RIRS could effectively reduce postoperative pain and analgesic requirements.Methods:A total of 61 patients who underwent RIRS between March and July 2024 were evaluated.Four patients were excluded due to residual stones,and five due to a history of cardiac arrhythmia,leaving 52 patients for analysis.Patients were divided into two groups according to the use of intraluminal lidocaine:Group L(Lidocaine Group,n=27)received 100 mg of lidocaine prior to DJ stent placement,whereas Group C(Control Group,n=25)did not.Demographic and stone-related parameters were recorded.Postoperative pain was assessed using the Visual Analog Scale(VAS)at 1,4,8,12,and 24 h,and postoperative analgesic use was documented.Results:No significant differences were observed between the groups regarding demographic characteristics,stone parameters,or preoperative pain scores.However,postoperative VAS scores were significantly lower in Group L at the 8th and 12th hours(p=0.041 and p=0.028,respectively).Moreover,total postoperative analgesic consumption was significantly lower in Group L(p=0.027),supporting the analgesic efficacy of intraluminal lidocaine administration.Conclusion:Intraluminal lidocaine administration at the end of RIRS appears to be a safe,feasible,and effective method for reducing postoperative pain and minimizing analgesic requirements.These findings suggest that the technique may contribute to improved postoperative recovery,although larger multicenter studies are warranted to confirm its clinical value.展开更多
BACKGROUND Esophageal epiphrenic diverticulum(ED)often occurs in patients with esophageal motility disorders,and its incidence rate is approximately 3%-7%in achalasia(AC).A distinct septum has been observed in some pa...BACKGROUND Esophageal epiphrenic diverticulum(ED)often occurs in patients with esophageal motility disorders,and its incidence rate is approximately 3%-7%in achalasia(AC).A distinct septum has been observed in some patients with AC coexisting with ED during gastroscopy.Digestive endoscopic tunnel technique has emerged as a promising therapeutic approach for these patients.AIM To evaluate the therapeutic effectiveness of specific treatment methods for ED with septum(ED+S)or ED without septum(ED-S)in AC patients.METHODS This retrospective cohort study included 31 patients with AC and esophageal diverticula(21 patients with septum and 10 patients without septum)between January 2016 and January 2025.In ED+S group,submucosal tunneling myotomy combined with diverticular septotomy was performed,while patients in the ED-S group underwent submucosal myotomy alone.The Eckardt scores before and after surgery were compared to evaluate symptom relief and clinical success.The Gastroesophageal Reflux Disease Questionnaire(GERD-Q)score and gastroscopy findings were used to evaluate postoperative gastroesophageal reflux.RESULTS The corresponding operation steps were completed in both groups,with a technical success rate of 100%.We successfully followed up with 18 and 10 patients in the ED+S and ED-S group,with a median follow-up period of 2.5 years and 3.0 years,respectively.The postoperative Eckardt scores[median(interquartile range)]were significantly lower in both groups compared with preoperative scores[ED+S group:6.0(4.0-8.0)vs 0(0-2.0),P<0.05;ED-S group:6.0(3.75-8.25)vs 1.0(0-3.0),P<0.05].The clinical success rates(Eckardt score≤3)were 88.9%and 90.0%,respectively.The GERD-Q score was used to evaluate postoperative gastroesophageal reflux,and 3 patients(3/18,16.7%)in ED+S group and 2 patients(2/10,20%)in ED-S group experienced symptomatic reflux(GERD-Q score≥8).CONCLUSION In AC patients with ED+S,submucosal tunneling myotomy with diverticular septotomy can achieve good therapeutic effects.When there is no obvious septum,submucosal tunneling myotomy is an effective method.展开更多
1.Introduction.Pancreaticoduodenectomy is an essential surgical procedure for the treatment of malignant tumors in the pancreatic head,distal common bile duct,and duodenal papilla,and is widely used in clinical practi...1.Introduction.Pancreaticoduodenectomy is an essential surgical procedure for the treatment of malignant tumors in the pancreatic head,distal common bile duct,and duodenal papilla,and is widely used in clinical practice.One of the primary determinants of surgical success is the durability of the pancreaticojejunal anastomosis.展开更多
Currently,the number of patients with myopia is increasing rapidly across the globe.Traditional Chinese medicine(TCM),with its long history and rich experience,has shown promise in effectively managing and treating th...Currently,the number of patients with myopia is increasing rapidly across the globe.Traditional Chinese medicine(TCM),with its long history and rich experience,has shown promise in effectively managing and treating this condition.Nevertheless,considering the vast amount of research that is currently being conducted,focusing on the utilization of TCM in the management of myopia,there is an urgent requirement for a thorough and comprehensive review.The review would serve to clarify the practical applications of TCM within this specific field,and it would also aim to elucidate the underlying mechanisms that are at play,providing a deeper understanding of how TCM principles can be effectively integrated into modern medical practices.Here,some modern medical pathogenesis of myopia and appropriate TCM techniques studies are summarized in the prevention and treatment of myopia.Further,we discussed the potential mechanisms and the future research directions of TCM against myopia.Identifying these mechanisms is crucial for understanding how TCM can be effectively utilized in this context.The combination of various TCM methods or the combination of traditional Chinese and Western medicine is of great significance for the prevention and control of myopia in the future.展开更多
Medical imaging is essential in modern health care,allowing accurate diagnosis and effective treatment planning.These images,however,often demonstrate low contrast,noise,and brightness distortion that reduce their dia...Medical imaging is essential in modern health care,allowing accurate diagnosis and effective treatment planning.These images,however,often demonstrate low contrast,noise,and brightness distortion that reduce their diagnostic reliability.This review presents a structured and comprehensive analysis of advanced histogram equalization(HE)-based techniques for medical image enhancement.Our review methodology encompasses:(1)classical HE approaches and related limitations in medical domains;(2)adaptive schemes like Adaptive Histogram Equalization(AHE)and Contrast Limited Adaptive Histogrma Equalization(CLAHE)and their advance variants;(3)brightnesspreserving schemes like BBHE and MMBEBHE and related algorithms;(4)dynamic and recursive histogram equalization methods incorporating DHE and RMSHE;(5)fuzzy logic-based enhancement methodologies addressing uncertainty and noise in medical images;and(6)hybrid optimization methodologies through the application of metaheuristic algorithms(World Cup Optimization,Particle Swarm Optimization,Genetic Algorithms,along with histogram-based methodologies.)There is also a comparative discussion given based on contrast improvement,image brightness preservation,noise management,and computational efficiency.Such advancements have better capabilities of improving image quality,which is more important for improved diagnosis and image analysis.展开更多
The application of CO2in the steelmaking process has yielded promising results,demonstrating a certain capability for nitrogen removal.To accurately determine the kinetic parameters of nitrogen reactions at the iro...The application of CO2in the steelmaking process has yielded promising results,demonstrating a certain capability for nitrogen removal.To accurately determine the kinetic parameters of nitrogen reactions at the iron melt interface under CO2injection conditions,an isotope exchange technique was employed.This technique was used to monitor the evolution of the nitrogen isotopic composition during the reaction between a28N2–30N2–CO2–CO–Ar gas mixture and an iron melt of controlled composition.The kinetic parameters of nitrogen were subsequently calculated for various CO2/CO ratios.Furthermore,the dissociation rate determining model was applied to establish the relationship between the interfacial reaction rate constant(kc)and the activity of surfactive elements(O,C,and S)in molten iron(aO,aC,and aS),expressed as kc=4.35×10-6/(1+14.25aO+0.25aC+6.50aS)2.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.42272142 and 42230812).
摘要Characterizing shale oil reservoirs encompassing pore space,mineralogy,and fluids is fundamental to effective exploration and development.Recent advances in experimental techniques have significantly improved both the qualitative and quantitative analysis of these components;however,a comprehensive systematic review is lacking.High-resolution imaging technologies,such as Scanning Electron Microscopy(SEM),Field Emission Scanning Electron Microscopy(FE-SEM),and Focused Ion Beam Scanning Electron Microscopy(FIB-SEM),enable detailed visualization of pore structures.Gas adsorption and high-pressure mercury intrusion methods provide accurate pore-scale quantification.Moreover,techniques like X-ray Diffraction(XRD),X-ray Fluorescence Spectroscopy(XRF),and Electron Probe Microanalysis(EPMA)allow precise mineral identification and compositional analysis.Confocal Scanning Laser Microscopy(CSLM),Raman Spectroscopy,Nuclear Magnetic Resonance(NMR),and Rock Pyrolysis provide insights into fluid occurrence and content within shale reservoirs.Based on a comprehensive review of existing research,this study identifies several key future directions:(1)addressing the challenges of nanopore observation in reservoir space characterization while minimizing the impact of sample preparation on pore structure;(2)improving the accuracy of quantitative mineral analysis and developing advanced new technologies for the precise measurement of complex mineral compositions;(3)enhancing the fluid quantitative evaluation of fluids by more effectively restoring subsurface geological conditions.This paper presents a current synthesis and forward-looking perspective on experimental techniques supporting shale oil exploration,aiming to guide future research and technological innovation in this field.
基金supported by the Stable Support Plan Program under Shenzhen Natural Science Fund(No.20220811012323001)the LingChuang Research Project of China National Nuclear Corporation(No.CNNC-LCKY-202266)+6 种基金the Shenzhen Key Laboratory of Nuclear and Radiation Safety of Shenzhen Science and Technology Innovation Commission(No.ZDSYS20230626091501002)the Pengcheng Peacock Plan Distinguished Talent project(No.827-000712)the Shenzhen Science and Technology Innovation Commission Key Technical Project(Nos.JSGG20220831110607013 and KJZD20231023100200001)the Foundation for Distinguished Young Talents in Higher Education of Guangdong(No.2023KQNCX065)the Teaching Reform Research Programs under Shenzhen University Contract(Nos.JG000066010107,JG000033090185,and JG2022072)the Teaching Reform Research Program under Guangdong Provincial Department of Education Contract(No.JG2024085)supported by the Consortium for Advanced Simulation of Light Water Reactors(http://gffzz228af71adddf4e8esf0w9ko5vw66w6bvc.ffgz.tsg.suse.edu.cn/),an Energy Innovation Hub(http://gffzzda0388b0bb3b4345hf0w9ko5vw66w6bvc.ffgz.tsg.suse.edu.cn/hubs)for Modeling and Simulation of Nuclear Reactors,under the U.S.Department of Energy Contract(No.DE-AC05-00OR22725)。
摘要The method of characteristics(MoC)is a well-established tool for lattice physics calculations,offering advantages such as accurate representation of both lattice geometry and boundary conditions.The flat source(FS)approximation is the most commonly used approach,whereas the linear source(LS)approximation enhances the accuracy by preserving the higherorder spatial moments of the neutron source.However,determining the order of accuracy(OoA)for spatial discretization in the MoC is challenging,particularly for the LS approximation.This complexity arises because MoC employs two spatial meshes:the fission source region(FSR)mesh and a set of characteristic rays used to integrate the transport equation over the FSR mesh.In this study,we analyzed the spatial order of accuracy of the MoC in planar geometry for both FS and LS approximations in relation to the distributed source.Our theoretical predictions are consistent with the numerical results obtained using the Method of Manufactured Solutions(MMS).The results demonstrate that the FS approximation achieves second-order accuracy,whereas the LS approximation attains fourth-order accuracy.
基金the Deanship of Graduate Studies and Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Programthe Deanship of Scientific Research at Northern Border University,Arar,KSA for funding this research work through the project number“NBU-FFR-2025-2903-09”.
摘要Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.
基金support from National Key R&D Program of China(Grant No.2023YFB3709900)the National Natural Science Foundation China(Grant Nos.U22A20171 and 52474341)the High Steel Center(HSC)at North China University of Technology and University of Science and Technology Beijing,China.
摘要Image processing techniques were employed to analyze the ink dispersion process in a tundish water model,providing quantitative parameters to evaluate fluid flow dynamics.Key parameters,including filling time,dead area fraction,area emptying time,peak concentration time,dead concentration fraction,and concentration emptying time,were introduced.Orthogonal tests were conducted to investigate the effects of dam spacing,height,and openings on tundish flow behavior.Results revealed that the dam spacing of 3760 mm yielded the shortest filling and peak concentration time,while the 4760 mm spacing minimized dead area and concentration fractions.Taller dams(620 mm)reduced dead area fractions but extended peak concentration time.Dams with openings demonstrated improved flow dynamics,reducing both dead area and concentration fractions,as well as emptying time.The consistency between dye experiments and residence time distribution experiments highlights the reliability of these parameters for optimizing tundish design and operation.
基金funded by the National Natural Science Foundation of China(82372011)Zhejiang Provincial Natural Science Foundation of China(LZ25H180001)+2 种基金Zhejiang Provincial Department of Education General Project(Y202457009)Zhejiang Provincial Medical and Health Science and Technology Program(2024KY013)Fundamental Research Funds for the Central Universities(2025ZFJH01-01).
摘要Melanoma,a highly aggressive form of skin cancer,is characterized by complex metabolic reprogramming that drives its metastatic potential and therapy resistance.While localized melanoma can be treated effectively,metastatic melanoma remains largely incurable,creating an urgent need for methods enabling early diagnosis and prognosis.In this review,we summarize recent efforts toward addressing these clinical challenges by nonlinear optical techniques,particularly pump-probe microscopy and vibrational spectroscopy,developed for in vivo investigation of key molecular changes in melanoma progression.These techniques enable label-free,real-time imaging of two critical components in melanoma progression:melanin and lipid droplets,respectively,providing unique insights into molecular mechanisms of melanoma progression.Future research directions focus on transforming these imaging techniques to enhance their clinical applicability and further investigation of the metabolic vulnerabilities of melanoma.
基金supported by the National Natural Science Foundation of China,No.31760290,82160688the Key Development Areas Project of Ganzhou Science and Technology,No.2022B-SF9554(all to XL)。
摘要Synaptic pruning is a crucial process in synaptic refinement,eliminating unstable synaptic connections in neural circuits.This process is triggered and regulated primarily by spontaneous neural activity and experience-dependent mechanisms.The pruning process involves multiple molecular signals and a series of regulatory activities governing the“eat me”and“don't eat me”states.Under physiological conditions,the interaction between glial cells and neurons results in the clearance of unnecessary synapses,maintaining normal neural circuit functionality via synaptic pruning.Alterations in genetic and environmental factors can lead to imbalanced synaptic pruning,thus promoting the occurrence and development of autism spectrum disorder,schizophrenia,Alzheimer's disease,and other neurological disorders.In this review,we investigated the molecular mechanisms responsible for synaptic pruning during neural development.We focus on how synaptic pruning can regulate neural circuits and its association with neurological disorders.Furthermore,we discuss the application of emerging optical and imaging technologies to observe synaptic structure and function,as well as their potential for clinical translation.Our aim was to enhance our understanding of synaptic pruning during neural development,including the molecular basis underlying the regulation of synaptic function and the dynamic changes in synaptic density,and to investigate the potential role of these mechanisms in the pathophysiology of neurological diseases,thus providing a theoretical foundation for the treatment of neurological disorders.
基金supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China(No.2024ZD1700201)the National Natural Science Foundation of China(Nos.U2034206,51974014 and 51574014)+1 种基金the Guangdong Basic and Applied Basic Research Foundation(No.2024A1515011631)the National Key Research and Development Project of China(No.2022YFC3004601)。
摘要In-situ stress is a key parameter for underground mine design and rock stability analysis.The borehole overcoring technique is widely used for in-situ stress measurement,but the rheological recovery deformation of rocks after stress relief introduces errors.To improve accuracy,this study proposes an in-situ stress solution theory that incorporates time-dependent stress relief effects.Triaxial stepwise loadingunloading rheological tests on granite and siltstone established quantitative relationships between instantaneous elastic recovery and viscoelastic recovery under different stress levels,confirming their impact on measurement accuracy.By integrating a dual-class elastic deformation recovery model,an improved in-situ stress solution theory was derived.Additionally,accounting for the nonlinear characteristics of rock masses,a determination method for time-dependent nonlinear mechanical parameters was proposed.Based on the CSIRO hollow inclusion strain cell,time-dependent strain correction equations and long-term confining pressure calibration equations were formulated.Finally,the proposed theory was successfully applied at one iron mine(736 m depth)in Xinjiang,China,and one coal mine(510 m depth)in Ningxia,China.Compared to classical theory,the calculated mean stress values showed accuracy improvements of 6.0%and 9.4%,respectively,validating the applicability and reliability of the proposed theory.
基金supported in part by the Fund of State Key Laboratory of Deep Oil and Gas,China University of Petroleum(East China)under Grant SKLDOG2024-ZYTS-02in part by the National Natural Science Foundation of China under Grant42274157+1 种基金in part by the Fundamental Research Funds for the Central Universities under Grant 24CX07004Ain part by the CNPC Innovation Fund under Grant 2024DQ02-0505。
摘要Seismic amplitude variation with offset(AVO)inversion is a cornerstone of oil and gas reservoir prediction,enabling the estimation of subsurface elastic parameters and characterization of stratigraphic interfaces.However,balancing inversion accuracy and computational efficiency remains a critical challenge.To address this,we propose a novel probabilistic AVO inversion framework integrating three key innovations.First,we derive a high-precision quadratic approximation for compressional(P-wave)reflectivity by retaining first-and second-order terms from the exact Zoeppritz equations through a perturbation strategy.This approach significantly enhances accuracy compared to conventional linear approximations,particularly in reflecting the true amplitude variation at large angles.Subsequently,to improve lateral continuity and stratigraphic resolution,we introduce an instantaneous phase constraint derived via the Hilbert transform.This constraint leverages phase sensitivity to seismic waveform coherence,ensuring geologically consistent interface characterization during stochastic inversion.Furthermore,we develop a hybrid Markov Chain Monte Carlo(MCMC)algorithm combining adaptive Gibbs sampling with the independent doubly adaptive rejection Metropolis sampling(IA2RMS)method.This framework efficiently samples high-dimensional posterior probability density functions(PDFs)of elastic pa rameters:Gibbs sampling gene rates adaptive proposal distributions,while IA2RMS accele rates Markov chain convergence through location-and scale-adjustable proposals.Numerical experiments and field seismic data demonstrate the robustness and feasibility of the proposed probabilistic AVO inversion method.
基金supported by the Korea Institute of Energy Technology Evaluation and Planning(KETEP)and the Ministry of Trade,Industry and Energy(MOTIE)of the Republic of Korea(No.20224000000320 and No.RS-2025-07852969)supported by the KETEP grant funded by the Korea government(MOTIE)(No.RS-2024-00421291)for the Clean Hydrogen and Ammonia Innovation Research Center.
摘要The accelerating development of wearable electronics encompassing flexible sensors,displays,and health monitoring systems has driven strong demand for lightweight,deformable,and high-performance energy storage technologies.With the increasing attention in these fields,flexible and wearable supercapacitors(FSCs)have gained significant attention due to their fast charge-discharge rates,excellent mechanical resilience,and longterm cycling stability.This review presents a comprehensive analysis of recent advances in FSC research,focusing on both material-level engineering and device-level integration.Electrode materials,including carbonbased frameworks,transition metal-based materials,conductive polymers,and their hybrids,are critically examined,with an emphasis on structural design strategies.Fabrication techniques are discussed by dimensional configuration,including 1D fiber-shaped,2D planar,and multidimensional structures,with a focus on scalable and application-oriented processes.Furthermore,representative demonstrations in wearable,transparent,and sensor-integrated devices are explored to illustrate the practical potential of FSCs.Finally,future directions are proposed,including light and moisture stability,as well as electrolyte degradation,to realize next-generation multifunctional flexible energy storage systems.
基金supported by the National Natural Science Foundation of China(No.11672016)。
摘要The Branched Multi-point Approximation(BMA)method holds immense potential in tackling topology optimization challenges involving discrete variables.This research focuses on enhancing the adaptability,approximation efficiency and engineering application of the method.Four key advancements are presented below.Firstly,an adjusted BMA function is introduced,which comprehensively incorporates the topologies of known and current points,utilizing topological difference between them as the foundation for function segmentation.This function further mitigates singularities as continuous variables approach zero,and is verified for its approximation capability through randomized numerical simulations.Secondly,the concept of adjacent individuals is proposed to ensure that the topological disparities between the current point and current optimal solution remain within manageable limits.This approach prevents approximation failures while maintaining the diversity of the population generated by genetic algorithm.Thirdly,for optimizing continuous variable in complex problems,an improved separable-variable approximation is formulated to ensure strong duality validity.Finally,an adaptive technique for move limit of the retained continuous variables is established.Benchmark examples demonstrate the effectiveness of the improved method in iterations and optimal results.Optimization systems capable of performing topology optimization for spacecraft such as stiffened satellite and carrier rocket have been rare in prior research.
摘要In this paper we study the hydrostatic approximation of the Navier-Stokes-alpha(NS-α)small initial data in appropriate analytic function spaces.We also justify this approximation by proving the convergence of the Navier-Stokes-alpha system towards its hydrostatic limit.
摘要Wildfires have emerged as a significant global challenge,driven by rising temperatures,prolonged droughts,shifting precipitation patterns due to climate change,and human-induced land-use changes such as deforestation,urban expansion,and agricultural intensification.Their increasing frequency and severity threaten ecosystems,human health,infrastructure,and economic resources,necessitating effective prediction,detection,and management strategies.This review provides a comprehensive assessment of geospatial techniques and their integration with Artificial Intelligence(AI)and Machine Learning(ML)approaches for wildfire monitoring,mapping,and prediction.Various platforms,including ground-based observations,satellite remote sensing,and unoccupied aerial vehicles(UAVs),are evaluated for their capabilities and limitations.Traditional methods,such as visual observations and ground-based sensors,are discussed,highlighting constraints in spatial coverage,timeliness,and scalability.Satellite-based remote sensing,with its wide area coverage and multi-temporal data acquisition,enables the derivation of key fire-related parameters,including vegetation indices,land surface temperature,and burned area mapping.UAV-based systems complement satellites by providing high-resolution imagery and facilitating access to remote or hazardous locations,enhancing early detection and monitoring.Furthermore,the integration of AI/ML algorithms with multi-source datasets has revolutionized wildfire modeling,enabling more accurate fire prediction and risk assessment.The review also explores emerging challenges,including data heterogeneity,real-time processing requirements,and the integration of diverse data sources,while emphasizing the need for robust computational infrastructure and collaborative frameworks.Unlike previous reviews that focus on individual aspects,this study uniquely synthesizes multi-source geospatial datasets,advanced AI/ML techniques,and bibliometric co-occurrence analysis to identify research hotspots,knowledge gaps,and future directions.By providing a holistic framework for next-generation wildfire monitoring and risk assessment,this review contributes to the development of effective fire management strategies,promoting environmental sustainability,community resilience,and informed decision-making.
基金The National Natural Science Foundation of China(No.62172443).
摘要To address the issue that static densest subgraph mining algorithms often exhibit low efficiency when handling large scale dynamic graphs,this paper proposes a heuristic approximation algorithm.The algorithm approximates the densest k-subgraphs of the entire graph through four steps:partitioning the large-scale dynamic graph,constructing a partial set of the densest k-subgraphs,heuristically merging the subgraph sets,and finally extracting the densest k-subgraphs.This approach significantly reduces the computational time for large-scale dynamic graphs while simultaneously improving the quality of the resulting subgraphs.This algorithm is applicable to various definitions of“density”and can accommodate diverse requirements on the number of edges.When integrated with existing static densest subgraph detection algorithms,it achieves scalability and computational efficiency.Theoretical analysis demonstrates that the optimal density of the densest k-subgraphs extracted by the proposed algorithm reaches 0.9.To evaluate the performance of the algorithm,experiments were conducted on four billion-scale datasets:Friendster,Orkut,YouTube,and DBLP.The results indicate that the proposed algorithm outperforms static methods in both runtime efficiency and subgraph quality on large-scale dynamic graphs.
摘要Heat exchangers play a crucial role in thermal energy systems,with their performance directly impacting efficiency,cost,and environmental impact.Apowerful technique for performance improvement can be given by passive enhancement strategies,which are characterized by their dependability and minimal external power requirements.This comprehensive review critically assesses recent advancements in such passive methods to evaluate their heat transfer mechanisms,performance characteristics,and practical implementation challenges.Our methodology involves a systematic and comprehensive analysis of various heat transfer enhancement techniques,including surface modifications,extended surfaces,swirl flow devices,and tube inserts.This approach synthesizes and integrates findings from a broad spectrum of experimental investigations and numerical simulations to establish a cohesive understanding of their performance characteristics and underlyingmechanisms.Based on the findings,passive heat transfer techniques result in significant improvements in thermal performance;for instance,corrugated and roughened surfaces increase the heat transfer coefficient by 50%–200%,and advanced insert geometries,such as modified twisted tapes,can increase it by more than 300%,typically accompanied by significant pressure-drop penalties.However,an important finding is the general trade-off between enhanced heat transfer and higher frictional loss,which requires optimization depending on the applications.Finally,this review also provides recommendations that will document the gaps of various passive techniques in heat exchangers to future address.
摘要Objectives:Retrograde intrarenal surgery(RIRS)has become an increasingly preferred minimally invasive option for the management of kidney stones.However,postoperative pain remains a major clinical concern that may adversely affect patient comfort and recovery.This study aimed to evaluate whether intraluminal administration of lidocaine at the end of RIRS could effectively reduce postoperative pain and analgesic requirements.Methods:A total of 61 patients who underwent RIRS between March and July 2024 were evaluated.Four patients were excluded due to residual stones,and five due to a history of cardiac arrhythmia,leaving 52 patients for analysis.Patients were divided into two groups according to the use of intraluminal lidocaine:Group L(Lidocaine Group,n=27)received 100 mg of lidocaine prior to DJ stent placement,whereas Group C(Control Group,n=25)did not.Demographic and stone-related parameters were recorded.Postoperative pain was assessed using the Visual Analog Scale(VAS)at 1,4,8,12,and 24 h,and postoperative analgesic use was documented.Results:No significant differences were observed between the groups regarding demographic characteristics,stone parameters,or preoperative pain scores.However,postoperative VAS scores were significantly lower in Group L at the 8th and 12th hours(p=0.041 and p=0.028,respectively).Moreover,total postoperative analgesic consumption was significantly lower in Group L(p=0.027),supporting the analgesic efficacy of intraluminal lidocaine administration.Conclusion:Intraluminal lidocaine administration at the end of RIRS appears to be a safe,feasible,and effective method for reducing postoperative pain and minimizing analgesic requirements.These findings suggest that the technique may contribute to improved postoperative recovery,although larger multicenter studies are warranted to confirm its clinical value.
摘要BACKGROUND Esophageal epiphrenic diverticulum(ED)often occurs in patients with esophageal motility disorders,and its incidence rate is approximately 3%-7%in achalasia(AC).A distinct septum has been observed in some patients with AC coexisting with ED during gastroscopy.Digestive endoscopic tunnel technique has emerged as a promising therapeutic approach for these patients.AIM To evaluate the therapeutic effectiveness of specific treatment methods for ED with septum(ED+S)or ED without septum(ED-S)in AC patients.METHODS This retrospective cohort study included 31 patients with AC and esophageal diverticula(21 patients with septum and 10 patients without septum)between January 2016 and January 2025.In ED+S group,submucosal tunneling myotomy combined with diverticular septotomy was performed,while patients in the ED-S group underwent submucosal myotomy alone.The Eckardt scores before and after surgery were compared to evaluate symptom relief and clinical success.The Gastroesophageal Reflux Disease Questionnaire(GERD-Q)score and gastroscopy findings were used to evaluate postoperative gastroesophageal reflux.RESULTS The corresponding operation steps were completed in both groups,with a technical success rate of 100%.We successfully followed up with 18 and 10 patients in the ED+S and ED-S group,with a median follow-up period of 2.5 years and 3.0 years,respectively.The postoperative Eckardt scores[median(interquartile range)]were significantly lower in both groups compared with preoperative scores[ED+S group:6.0(4.0-8.0)vs 0(0-2.0),P<0.05;ED-S group:6.0(3.75-8.25)vs 1.0(0-3.0),P<0.05].The clinical success rates(Eckardt score≤3)were 88.9%and 90.0%,respectively.The GERD-Q score was used to evaluate postoperative gastroesophageal reflux,and 3 patients(3/18,16.7%)in ED+S group and 2 patients(2/10,20%)in ED-S group experienced symptomatic reflux(GERD-Q score≥8).CONCLUSION In AC patients with ED+S,submucosal tunneling myotomy with diverticular septotomy can achieve good therapeutic effects.When there is no obvious septum,submucosal tunneling myotomy is an effective method.
摘要1.Introduction.Pancreaticoduodenectomy is an essential surgical procedure for the treatment of malignant tumors in the pancreatic head,distal common bile duct,and duodenal papilla,and is widely used in clinical practice.One of the primary determinants of surgical success is the durability of the pancreaticojejunal anastomosis.
基金supported by Healthy China initiative of Traditional Chinese Medicine(No.889042).
摘要Currently,the number of patients with myopia is increasing rapidly across the globe.Traditional Chinese medicine(TCM),with its long history and rich experience,has shown promise in effectively managing and treating this condition.Nevertheless,considering the vast amount of research that is currently being conducted,focusing on the utilization of TCM in the management of myopia,there is an urgent requirement for a thorough and comprehensive review.The review would serve to clarify the practical applications of TCM within this specific field,and it would also aim to elucidate the underlying mechanisms that are at play,providing a deeper understanding of how TCM principles can be effectively integrated into modern medical practices.Here,some modern medical pathogenesis of myopia and appropriate TCM techniques studies are summarized in the prevention and treatment of myopia.Further,we discussed the potential mechanisms and the future research directions of TCM against myopia.Identifying these mechanisms is crucial for understanding how TCM can be effectively utilized in this context.The combination of various TCM methods or the combination of traditional Chinese and Western medicine is of great significance for the prevention and control of myopia in the future.
基金funded by the Deanship of Scientific Research(DSR)at King Abdulaziz University,Jeddah,under grant No.(IFPDP-261-22).
摘要Medical imaging is essential in modern health care,allowing accurate diagnosis and effective treatment planning.These images,however,often demonstrate low contrast,noise,and brightness distortion that reduce their diagnostic reliability.This review presents a structured and comprehensive analysis of advanced histogram equalization(HE)-based techniques for medical image enhancement.Our review methodology encompasses:(1)classical HE approaches and related limitations in medical domains;(2)adaptive schemes like Adaptive Histogram Equalization(AHE)and Contrast Limited Adaptive Histogrma Equalization(CLAHE)and their advance variants;(3)brightnesspreserving schemes like BBHE and MMBEBHE and related algorithms;(4)dynamic and recursive histogram equalization methods incorporating DHE and RMSHE;(5)fuzzy logic-based enhancement methodologies addressing uncertainty and noise in medical images;and(6)hybrid optimization methodologies through the application of metaheuristic algorithms(World Cup Optimization,Particle Swarm Optimization,Genetic Algorithms,along with histogram-based methodologies.)There is also a comparative discussion given based on contrast improvement,image brightness preservation,noise management,and computational efficiency.Such advancements have better capabilities of improving image quality,which is more important for improved diagnosis and image analysis.
基金financially supported by the National Natural Science Foundation of China(Nos.52293392 and 51474019).
摘要The application of CO2in the steelmaking process has yielded promising results,demonstrating a certain capability for nitrogen removal.To accurately determine the kinetic parameters of nitrogen reactions at the iron melt interface under CO2injection conditions,an isotope exchange technique was employed.This technique was used to monitor the evolution of the nitrogen isotopic composition during the reaction between a28N2–30N2–CO2–CO–Ar gas mixture and an iron melt of controlled composition.The kinetic parameters of nitrogen were subsequently calculated for various CO2/CO ratios.Furthermore,the dissociation rate determining model was applied to establish the relationship between the interfacial reaction rate constant(kc)and the activity of surfactive elements(O,C,and S)in molten iron(aO,aC,and aS),expressed as kc=4.35×10-6/(1+14.25aO+0.25aC+6.50aS)2.