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Experimental techniques for qualitative and quantitative characterization of shale oil reservoir space,minerals,and fluids 认领 引用 被引量：1
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作者 Siyu Chen Zhenkai Huang +6 位作者 Guangyou Zhu Xi Li Zhiyong Chen Ruilin Wang Yue Huang Shengnan Liu Bijun Huang 《Energy Geoscience》 EI CAS CSCD 2026年第2期1-16,共16页
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
关键词 Experimental technique Shale oil Reservoir space Mineral analysis Fluid characterization Qualitative and quantitative analysis
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A Comprehensive Literature Review of AI-Driven Application Mapping and Scheduling Techniques for Network-on-Chip Systems 认领 引用
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作者 Naveed Ahmad Muhammad Kaleem +5 位作者 Mourad Elloumi Muhammad Azhar Mushtaq Ahlem Fatnassi Mohd Fazil Anas Bilal Abdulbasit A.Darem 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第1期118-155,共38页
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
关键词 Application mapping mapping techniques network-on-chip system on chip optimisation
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Quantitative analysis of flow characteristics within tundishes using dye experiments and image processing techniques 认领 引用
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作者 Hao-Jian Duan Ding-Han Li Li-Feng Zhang 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第2期178-192,共15页
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
关键词 Tundish Dye experiment Image processing technique Orthogonal test Dam
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Recent advances in nonlinear optical techniques for metastatic melanoma diagnosis and mechanistic studies 认领 引用
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作者 Yihui Zhou Wei Lu Hyeon Jeong Lee 《Journal of Innovative Optical Health Sciences》 SCIE EI CSCD 2026年第4期95-113,共19页
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
关键词 Melanoma nonlinear optical techniques pump-probe microscopy vibrational spectroscopy molecular diagnosis
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Synaptic pruning mechanisms and application of emerging imaging techniques in neurological disorders 认领 引用
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作者 Yakang Xing Yi Mo +1 位作者 Qihui Chen Xiao Li 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第5期1698-1714,共17页
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
关键词 chemokine complement experience-dependent driven synaptic pruning imaging techniques neuroglia signaling pathways synapse elimination synaptic pruning
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Comprehending the frontiers of flexible supercapacitors:Materials,fabrication techniques,and performance metrics 认领 引用 被引量：1
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作者 Jinuk Choi Hyojung Lim +13 位作者 Dae-Kyo Oh Sangmin Ha Dae Jun Moon Gyoung Hwa Jeong Seonghyeon Park Junho Shim Chanmin Jo Minseo Jeon Subramani Surendran Xiaoyan Lu Heechae Choi Gibum Kwon Young-Hoon Yun Uk Sim 《Materials Reports(Energy)》 EI 2026年第2期25-41,共17页
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
关键词 Flexible supercapacitors Energy storage devices Fabrication techniques Electrochemical performance Wearable electronics
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Unsupervised dimensionality reduction of polarimetric data for pixel-wise pathological tissue differentiation 认领 引用
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作者 Mickaël Li Nan Zeng +3 位作者 Liangyu Deng Mingzhou Jiang Chang Wu Honghui He 《Advanced Photonics Nexus》 CSCD 2026年第3期196-204,共9页
Extracellular matrix(ECM)constitutes a key basement structure to human organisms by acting as a complex network of large proteins and carbohydrates that provide structural support to surrounding cells.Remodeling in th... Extracellular matrix(ECM)constitutes a key basement structure to human organisms by acting as a complex network of large proteins and carbohydrates that provide structural support to surrounding cells.Remodeling in the ECM's structural fibers leads to insight into the development of diseases such as cancer,fibrosis,and carcinoma.Although standard tissue visualization in the ECM involves multiple lengthy histopathological staining protocols,Mueller-matrix-based polarimetry provides label-free tissue slices'microstructural information and optical properties.We aim to identify three types of fiber tissues commonly found in the ECM of gastrointestinal tissue specimens by analyzing their polarization properties.To address decomposition methods'reliance on restrictive hypotheses and inability with an individual polarization-based parameter to determine the nature of a given biological tissue,we employ the uniform manifold approximation and projection method to offer greater discriminative power and flexibility.Subsequently,polarization-based features will be extracted and compared among fiber regions statistically to discern potential diagnostic differences.By providing colorized images,we aim to demonstrate the feasibility of distinguishing different fibers with a polarization approach,offering insights for future clinical development while complementing existing staining methods for pathological tissue specimens. 展开更多
关键词 polarimetric imaging Mueller matrix pathology connective fibrous tissue dimensionality reduction
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Artificial intelligence and geospatial techniques for mapping fire-prone areas:A review 认领 引用
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作者 Nitesh GUPTA Keval H JODHANI +4 位作者 Mit BHALIYA Neha PATNI Shagun PANDEY Ashwini TIWARI Nishant YADAV 《Journal of Mountain Science》 SCIE CSCD 2026年第6期2546-2569,共24页
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
关键词 Fire mapping and assessment Early fire prediction AL&ML Geospatial techniques UAV
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X-Ray Polarimetric Performance of GPD above 8 keV 认领 引用
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作者 Kuan Liu Fei Xie 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2026年第1期207-216,共10页
The Gas Pixel Detector(GPD)is an instrument for measuring X-ray polarization of high-energy astrophysical sources,which is on board of Imaging X-ray Polarimetry Explorer(IXPE)operating in the nominal energy range 2-8 ... The Gas Pixel Detector(GPD)is an instrument for measuring X-ray polarization of high-energy astrophysical sources,which is on board of Imaging X-ray Polarimetry Explorer(IXPE)operating in the nominal energy range 2-8 keV.Photons with energies above 9 keV are characterized by a low-energy tail which includes fluorescence photons ejected by the copper present in the Gas Electron Multiplier.In this work,we study the capabilities of IXPE GPDs above 8 keV with Monte Carlo simulations,showing that with a proper selection of events,they could be used with a suitable sensitivity above 8 keV.Our work provides constructive guidance for the calibration and construction of next-generation X-ray gas polarimeters such as eXTP-PFA,POLAR-2/LPD,and CATCH/Type-c microsatellites. 展开更多
关键词 techniques polarimetric-polarization-ISM magnetic fields-X-rays binaries
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Enhancing Heat Exchanger Performance through Passive Techniques:A Comprehensive Review 认领 引用
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作者 Muhammad Waheed Azam Uzair Sajjad +1 位作者 Faisal Maqbool Giovani Sempirini 《Frontiers in Heat and Mass Transfer》 EI CAS 2026年第1期25-53,共29页
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
关键词 Heat transfer enhancement passive techniques pressure drop heat exchangers
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Prospects and potential mechanism of appropriate traditional Chinese medicine techniques for myopia treatment 认领 引用
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作者 Hui-Min Guo Hong-Mei Li Shu-Li Man 《Traditional Medicine Research》 2026年第1期100-114,共15页
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
关键词 traditional Chinese medicine myopia pathogenesis appropriate TCM techniques
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A Comprehensive Review and Algorithmic Analysis of Histogram-Based Contrast Enhancement Techniques for Medical Imaging 认领 引用
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作者 Saira Ali Bhatti Maqbool Khan +4 位作者 Arshad Ahmad Muhammad Shahid Anwar Leila Jamel Aisha M.Mashraqi Wadee Alhalabi 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期37-79,共43页
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
关键词 Medical imaging image enhancement techniques histogram equalization contrast enhancement noise reduction brightness preservation diagnostic accuracy
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Impact of Data Processing Techniques on AI Models for Attack-Based Imbalanced and Encrypted Traffic within IoT Environments 认领 引用
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作者 Yeasul Kim Chaeeun Won Hwankuk Kim 《Computers, Materials & Continua》 SCIE EI 2026年第1期247-274,共28页
With the increasing emphasis on personal information protection,encryption through security protocols has emerged as a critical requirement in data transmission and reception processes.Nevertheless,IoT ecosystems comp... With the increasing emphasis on personal information protection,encryption through security protocols has emerged as a critical requirement in data transmission and reception processes.Nevertheless,IoT ecosystems comprise heterogeneous networks where outdated systems coexist with the latest devices,spanning a range of devices from non-encrypted ones to fully encrypted ones.Given the limited visibility into payloads in this context,this study investigates AI-based attack detection methods that leverage encrypted traffic metadata,eliminating the need for decryption and minimizing system performance degradation—especially in light of these heterogeneous devices.Using the UNSW-NB15 and CICIoT-2023 dataset,encrypted and unencrypted traffic were categorized according to security protocol,and AI-based intrusion detection experiments were conducted for each traffic type based on metadata.To mitigate the problem of class imbalance,eight different data sampling techniques were applied.The effectiveness of these sampling techniques was then comparatively analyzed using two ensemble models and three Deep Learning(DL)models from various perspectives.The experimental results confirmed that metadata-based attack detection is feasible using only encrypted traffic.In the UNSW-NB15 dataset,the f1-score of encrypted traffic was approximately 0.98,which is 4.3%higher than that of unencrypted traffic(approximately 0.94).In addition,analysis of the encrypted traffic in the CICIoT-2023 dataset using the same method showed a significantly lower f1-score of roughly 0.43,indicating that the quality of the dataset and the preprocessing approach have a substantial impact on detection performance.Furthermore,when data sampling techniques were applied to encrypted traffic,the recall in the UNSWNB15(Encrypted)dataset improved by up to 23.0%,and in the CICIoT-2023(Encrypted)dataset by 20.26%,showing a similar level of improvement.Notably,in CICIoT-2023,f1-score and Receiver Operation Characteristic-Area Under the Curve(ROC-AUC)increased by 59.0%and 55.94%,respectively.These results suggest that data sampling can have a positive effect even in encrypted environments.However,the extent of the improvement may vary depending on data quality,model architecture,and sampling strategy. 展开更多
关键词 Encrypted traffic attack detection data sampling technique AI-based detection IoT environment
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The Newly Discovered Pathway for Oxygen Evolution Reaction: In-Situ/Operando Characterization Techniques for Catalyst Development 认领 引用
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作者 Rabia Khalid Muhammad Tahir +2 位作者 Muhammad Umar Pin Fang Yujing Li 《Carbon Energy》 SCIE EI CAS CSCD 2026年第3期12-40,共29页
Water electrolysis is pivotal for converting renewable energy into clean hydrogen fuel,addressing global energy demand sustainably.However,the development of highly efficient and cost-effective catalysts for the oxyge... Water electrolysis is pivotal for converting renewable energy into clean hydrogen fuel,addressing global energy demand sustainably.However,the development of highly efficient and cost-effective catalysts for the oxygen evolution reaction(OER)remains a significant challenge,particularly at the industrial scale.This report explores a newly discovered pathway,the oxide path mechanism(OPM) for OER-mechanism involving the oxide formation and evolution during the reaction,emphasizing its potential to overcome existing limitations.OPM enables direct O-O coupling without oxygen vacancies,offering superior stability.We detail both classical and innovative in-situ characterization techniques that are central to unraveling the OER mechanism.The advanced in-situ electrochemical techniques,such as inductively coupled plasma mass spectroscopy,X-ray photoelectron spectroscopy,and Mössbauer spectroscopy,coupled with in-situ structural analyses,provide crucial insights into the catalyst surface,the electrode-electrolyte interface and the kinetics of OER.This review provides a systematic analysis integrating classical electrochemical methods with advanced in-situ/operando techniques,specifically focusing on understanding OPM.While numerous studies have examined individual characterization methods,this study systematically integrates traditional electrochemical approaches with in-situ and operando techniques,offering critical insights into their complementary roles in elucidating reaction pathways.The integration of these methodologies provides unprecedented understanding of catalyst behavior under operational conditions,guiding the rational design of next-generation OER catalysts.Furthermore,we discuss essential standardized test toolkits and protocols,such as those for rotating disk electrode and membrane electrode assembly,which are vital for ensuring reproducibility and scalability in OER catalyst research. 展开更多
关键词 in-situ characterization techniques mechanistic understanding OER catalyst operando spectroscopy oxygen evolution reaction(OER) renewable energy water splitting
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Efficacy comparison of modified Yamane vs Z-suture techniques in aphakic eyes lacking adequate capsular support 认领 引用
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作者 Kadriye Demir Isa Yuvacı ErkanÇelik 《国际眼科杂志》 CAS 2026年第7期1105-1109,共5页
AIM:To compare the visual outcomes,refractive predictability,and complication rates associated with scleral-fixated intraocular lens(IOL)implantation using the modified Yamane and Z-suture techniques in aphakic patien... AIM:To compare the visual outcomes,refractive predictability,and complication rates associated with scleral-fixated intraocular lens(IOL)implantation using the modified Yamane and Z-suture techniques in aphakic patients lacking adequate capsular support.METHODS:This retrospective study included aphakic patients who underwent scleral-fixated IOL implantation between 2017 and 2024.Patients were divided into two groups:Group 1 received the modified Yamane technique,while Group 2 underwent fixation using the Z-suture technique.Best-corrected visual acuity(BCVA,LogMAR),spherical equivalent(SE),cylindrical error(CE),corneal astigmatism(CA),mean absolute error(MAE),and postoperative complications were assessed.RESULTS:Totally 101 aphakic patients(mean age 72.6±10.7 y)were included.Group 1 included 22 males and 19 females,with a mean age of 72.1±11.0 y.Group 2 included 35 males and 25 females,with a mean age of 73.0±10.5 y.At 1 mo postoperatively,the BCVA in Group 1 was significantly better than that in Group 2,0.49±0.21 vs 0.66±0.17 LogMAR,P=0.02.By month 6,BCVA was comparable between groups(0.38±0.19 vs 0.41±0.20 LogMAR,P>0.05).No statistically significant differences were observed in SE,CE,or CA at any time point(all P>0.05).MAE was slightly lower in Group 1 at both 1(0.72±0.80 vs 0.80±0.64 D)and 6 mo(0.63±0.41 vs 0.72±0.33 D),although these differences were not statistically significant(P>0.05).Overall complication rates were similar;however,haptic dislocation was significantly more common in the Yamane group(P=0.025).CONCLUSION:Both the modified Yamane and Z-suture techniques are safe and effective options for secondary IOL implantation in aphakic eyes lacking adequate capsular support.The Yamane technique demonstrates faster visual recovery and slightly improved refractive predictability in the short term,while long-term outcomes are comparable between the two methods. 展开更多
关键词 aphakia scleral-fixated intraocular lens Yamane technique Z-suture refractive predictability mean absolute error
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Multi-phase clock generation techniques toward high-frequency and wideband applications 认领 引用
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作者 Junyan Bi Hao Xu Na Yan 《Journal of Semiconductors》 EI CAS CSCD 2026年第5期6-10,共5页
Introduction.Multi-phase clocks are widely used in modern wireline and wireless communication systems,serving as fundamental timing and phase references across diverse architectures[1-4].As data rates and carrier freq... Introduction.Multi-phase clocks are widely used in modern wireline and wireless communication systems,serving as fundamental timing and phase references across diverse architectures[1-4].As data rates and carrier frequencies continue to scale,both the required phase count and operating frequency have increased substantially,pushing conventional clock generation techniques toward their fundamental limits. 展开更多
关键词 wideband applications clock generation techniques multi phase clocks wireline communication wireline wireless communication systemsserving high frequency phase references wireless communication
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Multi-Core Parallel Based Polarimetric InSAR Data Processing Method and Application Cases 认领 引用
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作者 Lin Liu Yuyang Zheng +4 位作者 Wanwu Li Yan Zhang Xiutao Tang Zenghui Pang Ligang Jia 《Journal of Beijing Institute of Technology》 EI CAS 2026年第3期292-305,共14页
Based on analyzing the storage structure of polarimetric interferometry synthetic aperture radar(Pol-InSAR)data,this study proposed a multi-core parallel Pol-InSAR data processing method(MCP-PIDPM).In order to improve... Based on analyzing the storage structure of polarimetric interferometry synthetic aperture radar(Pol-InSAR)data,this study proposed a multi-core parallel Pol-InSAR data processing method(MCP-PIDPM).In order to improve the processing speed of Pol-InSAR data,this paper presented a multi-core parallel Pol-InSAR data processing scheme,and constructed its processing framework in the research.The key technology of the multi-core parallel Pol-InSAR data processing was discussed,a buffer detection splitting method for Pol-InSAR image was proposed,and improved the self-adaptive phase unwrapping method.At last,a multi-core parallel Pol-InSAR data processing system(MCP-PIDPS)was developed,and the proposed MCP-PIDPM method was tested and validated through experiments.The system based on the above method assigns tasks and loads reasonably to each processor and uses space to exchange time.It is proved by numerical experiments that the efficiency of Pol-InSAR data processing is increased by more than 10 times.The research breaks through the bottleneck which restricts the efficient application of Pol-InSAR,and provides a feasible solution for the efficient processing of Pol-InSAR data. 展开更多
关键词 InSAR polarimetric InSAR DEM parallel computing open multi-processing
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Research on Casing Techniques for Horizontal Drilling in Fractured Strata During Water Conveyance Tunnel Exploration 认领 引用
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作者 Changyou Dai Zijia Ge Shulei Zhang 《Journal of Environmental & Earth Sciences》 CAS 2026年第3期154-168,共15页
The most common aspect of water conveyance tunnel construction is the use of horizontal and sub-horizontal exploration drilling of headings of a tunnel to predict geology and groundwater conditions.The instability of ... The most common aspect of water conveyance tunnel construction is the use of horizontal and sub-horizontal exploration drilling of headings of a tunnel to predict geology and groundwater conditions.The instability of boreholes,extreme loss of circulation,and high-head inflow are also common in fractured strata,which often inhibit completion of probe holes and the reliability of coring,packer testing,and grouting tests.Casing,consequently,is a significant enabling technology to stabilize fractured intervals and has a hydraulic isolation under coupled mechanical and hydrogeological disturbances.The review is a synthesis of research and engineering experience on methods of casing to be used in horizontal drilling of fractured rock masses used in the exploration of water conveyance tunnels.The geological and working environment is initially outlined with a focus on fracture-adaptable instability processes and the special goings on of underground drilling,such as the restricted workspace,cuttings difficult to move,and fast movement of the competent and crushed regions.Types of casing systems are then listed,including both standard threaded steel strings and telescopic programs,and more specialized casing system types,including expandable casing,swellable sealing elements,and external casing packers.Special focus is made on the sealing of annulus in horizontal holes,wherein slurry loss,gravity segregation,and non-uniform borehole geometry usually worsen isolation.Lastly,the article suggests adaptive choice of strategy according to real-time drilling reaction,and research priorities,such as tunnel-specific performance measurements,coupled hydro-mechanical modelling,and field trials of sophisticated sealing material and data-driven choice making. 展开更多
关键词 Horizontal Exploration Drilling Fractured Strata Casing Techniques Annulus Sealing Water Conveyance Tunnel
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Key Techniques for High-yield and High-efficiency Cultivation of‘Zhouhua 5’Peanut under Film Mulching 认领 引用
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作者 Chaoyang JIA Yake LEI +3 位作者 Jianhang ZHANG Shijie ZHAN Chenwei DENG Jingbin CUI 《Agricultural Biotechnology》 2026年第1期13-15,25,共3页
With the expansion of peanut planting area year by year,film mulching cultivation has become increasingly important in peanut production due to its unique advantages in enhancing both yield per unit area and overall e... With the expansion of peanut planting area year by year,film mulching cultivation has become increasingly important in peanut production due to its unique advantages in enhancing both yield per unit area and overall economic benefits.Based on the varietal characteristics of‘Zhouhua 5’and addressing practical issues in peanut production,this paper summarized key techniques for high-yield and high-efficiency film mulching cultivation of this variety.These techniques cover all critical stages,including land preparation and fertilization,seed preparation,sowing methods,field management,and timely harvesting,providing technical guidance for varietal promotion and peanut production. 展开更多
关键词 Peanut Zhouhua 5 Film mulching Key technique
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A Comprehensive Survey on Vector Database:Storage and Retrieval Techniques 认领 引用
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作者 MALe ZHANG Ran +16 位作者 HAN Yikun YU Shirui WANG Zaitian NING Zhiyuan ZHANG Jinghan XU Ping LI Pengjiang QIAO Ziyue JUWei CHEN Chong WANG Dongjie LIU Kunpeng WANG Pengyang WANG Pengfei FU Yanjie LIU Chunjiang LYU Changtian 《数据与计算发展前沿（中英文）》 CSCD 2026年第4期42-71,共30页
[Objective]As high-dimensional vector data increasingly surpass the processing capabilities of traditional database management systems,Vector Databases(VDBs)have emerged and become tightly integrated with large langua... [Objective]As high-dimensional vector data increasingly surpass the processing capabilities of traditional database management systems,Vector Databases(VDBs)have emerged and become tightly integrated with large language models,being widely applied in modern artificial intelligence systems.However,existing research has primarily focused on underlying technologies such as approximate nearest neighbor search,with relatively few studies providing a systematic architectural-level review of VDBs or analyzing how these core technologies collectively support the overall capacity of VDBs.This survey aims to offer a comprehensive overview of the core designs and algorithms of VDBs,establishing a holistic understanding of this rapidly evolving field.[Methods]First,we systematically review the key technologies and design principles of VDBs from the two core dimensions of storage and retrieval,tracing their technological evolution.Next,we conduct an in-depth comparison of several mainstream VDB architectures,summarizing their strengths,limitations,and typical application scenarios.Finally,we explore emerging directions for integrating VDBs with large language models,including open research challenges and trends such as novel indexing strategies.[Conclusions]This survey serves as a systematic reference guide for researchers and practitioners,helping readers quickly grasp the technological landscape and development trends in the field of vector databases,and promoting further innovation in both theoretical and applied aspects. 展开更多
关键词 vector database similarity search indexing techniques machine learning embeddings large language models AI infrastructure
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