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Methods of preparation,structural characteristics of resistant starch and its relation to human health:a review 认领 引用 被引量：1
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作者 Weiyi Zhang Yang Yang +6 位作者 Chunmin Ma Bing Wang Xiaofei Liu Yan Wang Xin Bian Guang Zhang Na Zhang 《Food Science and Human Wellness》 SCIE CAS CSCD 2026年第4期1503-1519,共17页
Resistant starch(RS)comprises starch fractions that resist digestion in the small intestine and reach the colon,where they are fermented by the microbiota.Resistant starch harbors functional properties and healthpromo... Resistant starch(RS)comprises starch fractions that resist digestion in the small intestine and reach the colon,where they are fermented by the microbiota.Resistant starch harbors functional properties and healthpromoting ingredients that can regulate blood glucose and lipid levels,prevent cancer,and enhance the quality of life.Consequently,new technologies for the preparation of RS are continually being developed to support its industrial production.This review describes the structural and nutritional properties of RS and examines recent advancements in RS preparation methods.Emphasis is placed on how RS structure influences its properties and the physiological mechanisms in vivo.This review aims to stimulate further research into the preparation methods,functional characteristics,and utilization of RS,thereby supporting ongoing developments in the food industry. 展开更多
关键词 Resistant starch Preparation methods Characterization Function Human health
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Antibody screening for tumor and immune hotspot targets:The frontier of new methods and technologies 认领 引用 被引量：1
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作者 Yaping Zhou Yitan Zou +6 位作者 Shaodong Lv Dan Tan Guangyao Li Wenyan Fu Changhai Lei Mingdong Lu Shi Hu 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第2期393-412,共20页
Advancements in tumor immunotherapy highlight the significant potential of antibody drugs,a key category of biological agents,for treating cancer and autoimmune diseases.This paper begins by defining and classifying k... Advancements in tumor immunotherapy highlight the significant potential of antibody drugs,a key category of biological agents,for treating cancer and autoimmune diseases.This paper begins by defining and classifying key targets in tumor immunity,as well as discussing their structural and functional characteristics.Subsequently,it elaborates on innovative technologies for antibody drug screening,which,when integrated with contemporary molecular biology,biotechnology,and computational biology,have substantially enhanced the efficiency and accuracy of target identification and antibody drug screening processes.Despite the promising prospects of tumor immunotherapy,certain limitations persist in its practical implementation.In conclusion,this paper offers a comprehensive examination of the cutting-edge developments in tumor immunotherapy,focusing on the aspects of tumor immunotherapy itself,critical targets for immunotherapy,and novel technologies and methodologies for antibody screening.This analysis is crucial for advancing the field of tumor immunotherapy and for enhancing both therapeutic efficacy and safety.Furthermore,research and development(R&D)of antibody drugs in other domains,such as autoimmune and inflammatory diseases,can benefit from it. 展开更多
关键词 Tumor immunotherapy Hotspot targets Antibody drug screening Target discovery Innovative technologies and methods
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A Comparative Study of State-of-the-Art Meshless Methods for Flow and Transport Simulation in Porous Media 认领 引用
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作者 T.I.Eldho Sanjukta Das +1 位作者 Aatish Anshuman Tinesh Pathania 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期828-852,共25页
In recent years,meshless methods have been increasingly applied to the simulation of various engineering problems due to their inherent advantages over traditional mesh-based approaches,including greater flexibility,i... In recent years,meshless methods have been increasingly applied to the simulation of various engineering problems due to their inherent advantages over traditional mesh-based approaches,including greater flexibility,independence from predefined meshing,simpler adaptive analysis,improved automation,and suitability for complex problems.Several meshless methods have been used for porous media simulation,and are broadly categorized into collocation,global weak form and local weak form methods.In this study,a comprehensive comparison of the applicability of these three categories of meshless methods for simulating coupled flow and transport problems in porous media is presented.The Radial Point Collocation Method(RPCM)(strong form),the Element Free Galerkin Method(EFGM)(global weak form)and the Meshless Local Petrov Galerkin(MLPG)method(local weak form)are implemented and systematically compared.These methods are applied to the analysis of flow in a synthetic regular domain aquifer,flow and non-reactive contaminant transport in a synthetic irregular boundary porous media problem and groundwater flow in a field aquifer located in India.The simulated groundwater heads are compared with analytical solution,observed field data and results obtained from widely used MODFLOW-MT3DMS models.The deviation of the solutions from the analytical solution is in the range of O.67%to O.l6%for the hypothetical case study.For the field-scale case study,mean absolute error of 0.183%,0.18l%and 0.188%are obtained for the RPCM,EFGM and MLPG models,respectively,outperforming MODFLOW,which exhibits a deviation of 0.254%from observed values.Overall,the present study reaffirms the practical applicability of these meshless methods for real-world groundwater problems and provides valuable insights into the utilization of each category of meshless method,with respect to problem type,computational efficiency and accuracy requirements. 展开更多
关键词 Meshless methods groundwater flow contaminant transport radial point collocation method element free Galerkin method meshless local Petrov Galerkin method
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Tunnel ahead prospecting methods and intelligent interpretation of adverse geology:A review 认领 引用 被引量：1
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作者 Shucai Li Bin Liu +4 位作者 Lei Chen Huaifeng Sun Lichao Nie Zhengyu Liu Yuxiao Ren 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期1-19,共19页
Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects exte... Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects extend into deeper and more mountainous terrains,engineers face increasingly complex geological conditions,including high water pressure,intense geo-stress,elevated geothermal gradients,and active fault zones.These conditions pose substantial risks such as high-pressure water inrush,largescale collapses,and tunnel boring machine(TBM)blockages.Addressing these challenges requires advanced detection technologies capable of long-distance,high-precision,and intelligent assessments of adverse geology.This paper presents a comprehensive review of recent advancements in tunnel geological ahead prospecting methods.It summarizes the fundamental principles,technical maturity,key challenges,development trends,and real-world applications of various detection techniques.Airborne and semi-airborne geophysical methods enable large-scale reconnaissance for initial surveys in complex terrain.Tunnel-and borehole-based approaches offer high-resolution detection during excavation,including seismic ahead prospecting(SAP),TBM rock-breaking source seismic methods,fulltime-domain tunnel induced polarization(TIP),borehole electrical resistivity,and ground penetrating radar(GPR).To address scenarios involving multiple,coexisting adverse geologies,intelligent inversion and geological identification methods have been developed based on multi-source data fusion and artificial intelligence(AI)techniques.Overall,these advances significantly improve detection range,resolution,and geological characterization capabilities.The methods demonstrate strong adaptability to complex environments and provide reliable subsurface information,supporting safer and more efficient tunnel construction. 展开更多
关键词 Tunnel geological ahead prospecting Complex geological and environmental conditions Airborne geophysical methods Tunnel geophysical detection Borehole geophysical prospecting Intelligent geological interpretation
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A review of multiscale characterization methods of ion transport in solid-state electrolytes 认领 引用
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作者 Shanyan Huang Shijie Li +3 位作者 Zheng Huang Kailun Zhang Wei-Li Song Shuqiang Jiao 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第5期229-244,共16页
Solid-state batteries that present lower risk factors and higher energy density are promising for advanced energy storage and applications.In particular,solid-state electrolytes(SSEs)are the critical components that r... Solid-state batteries that present lower risk factors and higher energy density are promising for advanced energy storage and applications.In particular,solid-state electrolytes(SSEs)are the critical components that responsible for ionic transport between negative electrodes and positive electrodes.It is crucial to fundamentally understand the ionic transport models and behaviors in the SSEs,with purpose of enhancing ion transport rate and stability of SSEs.To rationally improve the solid-state ion transport behavior of electrolytes,this review summarizes recent progresses on the transport principles and multiscale characterization methods of ion transport in SSEs,including traditional electrochemical methods,frequency-dependent spectroscopy,two-dimensional morphological imaging and three-dimensional morphological imaging.It is emphasized that combination of multiscale and multiple methods would be a developing trend for fundamentally understanding the mechanism of ion transport in SSEs.According to comprehensive transport principle and behaviors,hierarchical fillers are designed for composite electrolytes with fast ionic transport abilities.The remaining challenges for establishing advanced multiscale characterization methods are also discussed. 展开更多
关键词 Lithium-ion battery Solid-state electrolytes Ion conduction models Multiscale characterization methods Electrode-electrolyte interface
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Thermal fatigue of hot work tool steels:a review on damage mechanisms,performance improvement,and evaluation methods 认领 引用
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作者 Peng-Peng Zuo Hai-Lan Zhao +3 位作者 Xin-Yu Chen Hong-Qing Wu Shao-Hong Li Jun-Wan Li 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第7期276-294,共19页
Thermal fatigue failure is one of the main factors affecting the service life of hot-working dies.Thermal fatigue resistance also plays a fundamental role in work safety and cost saving in the rapidly developing autom... Thermal fatigue failure is one of the main factors affecting the service life of hot-working dies.Thermal fatigue resistance also plays a fundamental role in work safety and cost saving in the rapidly developing automotive industry.The recent studies on the thermal fatigue phenomenon of hot work tool steels are reviewed.Those researches primarily focus on damage mechanism,performance improvement,and evaluation methods,encompassing both testing methods and life prediction.Compared to previous researches,notable progress has been made in the following areas:damage mechanisms have been extensively studied from macroscale to microscale.Furthermore,damage mechanisms in different fatigue regimes have also been investigated.In terms of improving the thermal fatigue resistance of hot work tool steels,additive manufacturing is increasingly being adopted as a novel forming method,particularly for designing conformal cooling channel systems in dies.Regarding the evaluation methods for thermal fatigue behavior,iterated numerical analysis and elaborated finite-element models are playing an essential role in predicting thermal fatigue life.This field is currently undergoing tremendous evolution.Finally,current challenges and future research directions are presented for incoming investigators.It is acknowledged that significant scope remains for advancing these areas to more effectively guide the practical manufacture and application of hot-working dies. 展开更多
关键词 Hot work tool steel Thermal fatigue Damage mechanism Performance improvement Evaluation method Life prediction
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Self-healing of asphalt materials–part 1:Mechanisms,influencing factors,and evaluation methods 认领 引用
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作者 Carlos D.A.Loureiro Hugo M.R.D.Silva Joel R.M.Oliveira 《Journal of Road Engineering》 EI CAS 2026年第2期201-231,共31页
The self-healing behavior of asphalt materials is increasingly recognized as a promising strategy to extend pavement life and reduce maintenance costs.However,research in this area remains fragmented,lacking a unified... The self-healing behavior of asphalt materials is increasingly recognized as a promising strategy to extend pavement life and reduce maintenance costs.However,research in this area remains fragmented,lacking a unified,critical synthesis of fundamental mechanisms and evaluation methods.This review paper,the first part of a two-part study,addresses this gap by consolidating current knowledge on self-healing in asphalt materials.The article first explores the theoretical principles that govern healing phenomena,including capillary flow and molecular diffusion,as well as viscoelastic phenomena(thixotropic recovery and steric hardening)that can inflate apparent healing if not controlled.It then examines how internal factors(e.g.,binder chemistry,oxidative aging,and air-void content)and external factors(e.g.,temperature,rest periods,and traffic loading)influence the healing potential.Special focus is given to multiscale evaluation methods,ranging from rheological recovery tests at the binder level to assessments of stiffness recovery,fatigue resistance,and fracture at higher scales.Emerging nondestructive methods,including computed tomography and acoustic emission,are also reviewed.By integrating dispersed findings into a coherent framework,this work contributes to the development of more reliable and standardized healing assessment methods,laying the scientific groundwork for Part 2,which will address advanced self-healing strategies,practical implementation,and environmental and economic evaluation. 展开更多
关键词 Self-healing asphalt Healing mechanism Influencing factor Multiscale evaluation Assessment method Pavement durability
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Four Major Diseases Affecting Pear Trees and Their Prevention and Control Methods 认领 引用
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作者 Longfei LI Jintao XU +5 位作者 Minghui JI Huan LIU Lijuan GAO Yue YAO Gang NIU Baofeng HAO 《Plant Diseases and Pests》 2026年第1期1-3,13,共3页
This paper presents an overview of the pathogens, symptoms of damage, patterns of occurrence, and chemical control methods associated with four major pear tree diseases: pear scab, pear ring rot, pear anthracnose, and... This paper presents an overview of the pathogens, symptoms of damage, patterns of occurrence, and chemical control methods associated with four major pear tree diseases: pear scab, pear ring rot, pear anthracnose, and pear speckle. The objective is to provide valuable references for the scientific and precise prevention and management of diseases in pear orchards, thereby contributing to the production of high-quality and high-yield pear fruits. 展开更多
关键词 Pear Disease Pathogen Symptoms of damage Patterns of occurrence Prevention and control methods
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Methods,Algorithms,Codes,and Software for Theoretical and Computational Chemistry 认领 引用
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作者 Bin Jiang 《Chinese Journal of Chemical Physics》 SCIE EI CAS CSCD 2026年第3期301-302,共2页
Theoretical and computational chemistry has profoundly impacted a wide range of disciplines,from chemistry and physics to biology and materials science.In recent years,remarkable advances in electronic structure theor... Theoretical and computational chemistry has profoundly impacted a wide range of disciplines,from chemistry and physics to biology and materials science.In recent years,remarkable advances in electronic structure theory,molecular dynamics,and machine learning methods——coupled with increasingly powerful algorithms and software—have equipped chemists with an unprecedented arsenal of tools to tackle complex chemical problems. 展开更多
关键词 theoretical computational chemistry electronic structure theorymolecular dynamicsand algorithms codes software methods materials sciencein theoretical chemistry
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Assembly and integration of micro-led displays:a review of transfer methods targeting near-perfect yield 认领 引用 被引量：1
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作者 Seong Woo Hong Hyeon Ho Shin +5 位作者 Seol Ahn Hyeon Ji Yang Kyung Jun Lee Myungwon Lee Ji Woong Cho Yei Hwan Jung 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期284-314,共31页
Micro-light-emitting diodes(micro-LEDs)are widely recognized for their superior brightness,efficiency,and durability,offering transformative potential for next-generation displays and emerging applications.However,the... Micro-light-emitting diodes(micro-LEDs)are widely recognized for their superior brightness,efficiency,and durability,offering transformative potential for next-generation displays and emerging applications.However,the path to commercialization remains hindered by a critical barrier:achieving an extremely high production yield.Unlike conventional displays,micro-LED displays require the precise transfer of millions of individual micro-LED chips,even the slightest defects can significantly affect the overall yield.This review focuses on the technological challenges of pushing micro-LED assembly yield to extremely high thresholds of 99.99999%.We explore six key transfer methods—elastomeric transfer,roll-to-roll printing,electrostatic and electromagnetic assembly,laser transfer,microvacuum assembly,and fluidic self-assembly—and analyze their respective impacts on yield.Recent advancements in each method are discussed,with an emphasis on strategies to overcome yield challenges.By framing yield as the central metric and not as a side concern,this review aims to provide a roadmap for overcoming bottlenecks in micro-LED assembly and enabling industrial-scale deployment. 展开更多
关键词 assembly integration micro-led displays transfer method yield
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Environmental Contour Methods for Long-Term Extreme Response Prediction of Offshore Wind Turbines 认领 引用 被引量：1
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作者 Jixiang Zhang Shan Wang +4 位作者 Milad Shadman Mojtaba Maali Amiri Baiqiao Chen Chen An Segen Farid Estefen 《哈尔滨工程大学学报（英文版）》 CSCD 2026年第2期473-490,共18页
The long-term responses of offshore wind turbines(OWTs)are critical in the design phase,where precise assessments ensure structural reliability and operational efficiency.The environmental contour method(ECM)enables e... The long-term responses of offshore wind turbines(OWTs)are critical in the design phase,where precise assessments ensure structural reliability and operational efficiency.The environmental contour method(ECM)enables efficient analysis of design responses by focusing on a selected set of critical environmental conditions that predominantly drive long-term extreme responses.Despite its extensive use in offshore engineering,ECM’s application in the structural design and strength assessment of OWTs remains underexplored.This study offers a comprehensive overview of the utilization of ECM in the context of OWT design,incorporating a bibliometric analysis of publications from the Web of Science to identify research trends and key topics.The analysis highlights diverse approaches for estimating long-term extreme responses and constructing environmental contours using statistical distributions.Additionally,the study explores the application of ECM and its modified versions in the design and strength assessment of OWTs.Challenges and opportunities associated with ECM implementation in OWTs are critically analyzed,providing insights into ECM’s potential for enhancing the efficiency and reliability of OWT structural design. 展开更多
关键词 Environmental contour method Offshore wind turbine Long-term extreme response Reliability
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Computational methods to predict RCF crack initiation hot spots in rails using critical plane SWT damage indicator parameter 认领 引用 被引量：1
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作者 Jonathan Leung Saeed Hossein‑Nia +1 位作者 Mårten Olsson Carlos Casanueva 《Railway Engineering Science》 EI 2026年第2期294-313,共20页
Predicting rolling contact fatigue crack hot spots or regions with increased local driving forces in rails is challenging due to the wide range of factors that influence crack initiation.Rail sections experience fluct... Predicting rolling contact fatigue crack hot spots or regions with increased local driving forces in rails is challenging due to the wide range of factors that influence crack initiation.Rail sections experience fluctuating creepage conditions,contact positions,and loads throughout their lifespan,influencing the development and location of fatigue cracks.A new computational method is proposed that predicts the orientation and regions prone to rolling contact fatigue cracks under realistic service loading.It combines multi-body simulations,finite element analysis,and critical plane approaches.A novel multi-variable sampling technique simplifies loading spectra into representative traction profiles,which are then analyzed using finite element analysis and the Smith-Watson-Topper damage indicator parameter(DIPSWT).The maximum DIPSWTvalue identifies the critical plane and potential crack orientation.A case study on the Swedish heavy haul train line(Malmbanan)considers measured traffic and loading conditions,analyzing the wheel load spectrum for a 384 m long section of a R=450 m curve.Results show that the DIPSWTis highest for the locomotive with a loaded payload configuration,with a maximum value of 3.84×10−8located at 38.59 mm from the lower gauge face corner.The DIPSWTcritical plane aligns with experi-mental measurements of RCF cracks orientations near the gauge corner.This computational method,when combined with other predictive tools,can efficiently identify conditions that lead to RCF cracks and determine their possible locations and orientations in railway tracks. 展开更多
关键词 Rolling contact fatigue Fatigue crack initiation Critical plane method Damage parameters Contact mechanics
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Shadow and observational images of the rotating Hayward black hole with thin disk accretion 认领 引用
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作者 Zheng-Xue Chang Shu-Min Wang +2 位作者 Chen-Yu Yang Yu-Bin Wang Ke-Jian He 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期899-909,共11页
We investigate the shadow and observational characteristics of rotating Hayward black holes by employing a raytracing method combined with stereographic projection.By solving the photon geodesics derived from the Hami... We investigate the shadow and observational characteristics of rotating Hayward black holes by employing a raytracing method combined with stereographic projection.By solving the photon geodesics derived from the Hamilton–Jacobi equation,we explore how the spin parameter a and magnetic charge g influence the shape of the black hole shadow and its observable optical properties.The results indicate that an increase in the spin parameter a leads to a pronounced D-shaped deformation of the shadow,whereas higher values of the magnetic charge g significantly reduce the size of its inner region.When a thin accretion disk surrounds the black hole,variations in a and g directly affect observable features,including the size of the inner shadow and the intensity of the emitted radiation.Furthermore,the direct and lensed images exhibit distinct redshift features,highlighting the strong sensitivity of gravitational lensing effects to the parameters a and g.These findings suggest that rotating Hayward black holes can be distinguished from Kerr black holes through their observable characteristics,thereby providing a valuable reference for testing alternative theories of gravity. 展开更多
关键词 shadow observer characteristuc rotating black hole
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Efficient methods for prediction and evaluation of compressor rotor blades forced response considering multiple excitation from asymmetric stators 认领 引用
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作者 Yuze ZHU Ping YANG +2 位作者 Jinzhang FENG Dingxi WANG Zhuo KOU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第3期294-308,共15页
Asymmetric stators,featuring nonuniform pitches,have demonstrated effectiveness in mitigating the forced response of the adjacent compressor rotor blades.However,the lack of comprehensive understanding of their vibrat... Asymmetric stators,featuring nonuniform pitches,have demonstrated effectiveness in mitigating the forced response of the adjacent compressor rotor blades.However,the lack of comprehensive understanding of their vibration reduction mechanisms hinders the development of optimal designs.Typically,the evaluation of rotor blades forced response using asymmetric stators requires fluid–structure interaction methods and full-annulus computational domains;however,these methods are time-consuming and resource-intensive,making them unsuitable for rapid engineering applications.To address these issues,the present study first develops a Fourier-based prediction method for the excitation spectrum and blade forced response that considers the impacts of multiple excitation components.To verify the accuracy of the prediction method,two typical asymmetric stator configurations are selected,and the forced response analyses with single-passage computational domains are conducted on their downstream rotor blades based on the rapid time inclination method.The results are then compared with those obtained using the dual time stepping method with whole-annulus computational domains.The results indicate that the proposed Fourier-based method can accurately predict the impacts of asymmetric stators on the forced response of the rotor blades.Moreover,the rapid evaluation approach based on the time inclination method provides comparable accuracy to the dual time stepping method,but with greater computational efficiency and reduced memory consumption. 展开更多
关键词 Asymmetric stators Nonuniform pitches Forced response Fourier-based method Multiple excitation components Time inclination method
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Evapotranspiration inversion using a two-sources model coupling multiscale data fusion and interpolation methods 认领 引用
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作者 Shuo Lun TingXi Liu +6 位作者 LiNa Hao LiMin Duan Xin Tong YongZhi Bao YiXuan Wang SiMin Zhang YiRan Zhang 《Research in Cold and Arid Regions》 CAS CSCD 2026年第1期85-100,共16页
Continuous monitoring of high spatiotemporal resolution evapotranspiration(ET)is crucial for accurately assessing water resource management and irrigation efficiency at both global and regional scales.However,constrai... Continuous monitoring of high spatiotemporal resolution evapotranspiration(ET)is crucial for accurately assessing water resource management and irrigation efficiency at both global and regional scales.However,constraints such as satellite image transit time and cloud contamination can inhibit a single satellite to provide fine spatial resolution and continuous daily sequences of remote sensing data.In this study,we employed a coupled multi-scale fusion and interpolation method evapotranspiration model(CFIEM)framework integrated the remote sensing ET models,data fusion models,and the HANTS-GEE interpolation method to generate highresolution surface feature parameters and hydrological variables.Landsat remote sensing parameters and MODIS-Landsat fusion data were adopted to simulate daily regional ET,and the simulated results were subsequently validated.The results revealed the strong consistency between the simulated CFIEM-ET and Landsat-ET values and measured data,with the R2 values of 0.83 and 0.73.Among the simulations across the sand dunes,grasslands,rice,and maize ecosystems,maize exhibited the most accurate simulation(R2?0.84),while the sand dunes demonstrated certain deviation(R2?0.72).The geographical detector analysis identified the net radiation(Rn)as the primary driver of multi-year ET variation,followed by the land surface temperature(LST)and leaf area index(LAI).This study sheds light on the interannual ET variation and its driving mechanisms in arid regions,laying a theoretical foundation and offering technical support for regional water resource management and desertification control. 展开更多
关键词 Evapotranspiration Data fusion methods Data interpolation methods Spatiotemporal variation Driving factors
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AI Model Compression Methods: A Distribution-Aware Residual Entropy Quantization 认领 引用
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作者 Nikita Sakovich Dmitry Aksenov +1 位作者 Ekaterina Pleshakova Sergey Gataullin 《Computers, Materials & Continua》 SCIE EI 2026年第8期854-864,共11页
We introduce the DARE-Q(Distribution-Aware Residual Entropy Quantization)method—a post-training quantization method for neural network weights designed to reduce bit-width with minimal degradation of model quality.Un... We introduce the DARE-Q(Distribution-Aware Residual Entropy Quantization)method—a post-training quantization method for neural network weights designed to reduce bit-width with minimal degradation of model quality.Unlike traditional approaches that solely optimize the mean squared error of weight approximation,DARE-Q additionally considers the entropy of the quantization residual,allowing for control over the statistical properties of the resulting error.The method is based on channel-wise symmetric uniform quantization with scaling based on a combined loss function that includes L2 distortion and entropy regularization.The DARE-Q method is implemented as a compact DAREQuantLinear module which can be easily integrated into standard transformer pipelines without changing the inference logic or using specific kernels.The experimental analysis was conducted on the language models facebook/opt-125m and facebook/opt-350m,which contain approximately 125 and 350 million parameters.The quality of the models was assessed using the standard perplexity metric(PPL)computed on the wikitext-2-raw-v1 dataset.DARE-Q is completely data-free and does not require model retraining or calibration data,which makes it the only viable option in privacy-sensitive or confidential environments where access to the original training data is restricted—precisely the setting where methods such as GPTQ and AWQ cannot be applied.The observed increase in PPL relative to data-dependent baselines reflects this fundamental trade-off rather than a shortcoming of the approach.By leveraging per-channel scale selection and a combined loss function,DARE-Q provides a flexible trade-off between approximation accuracy and quantization error structure,creating an attractive algorithmic basis for further improvement of model compression methods. 展开更多
关键词 Artificial intelligence large language models mathematical optimization methods model compression quantization methods information theory high-performance computing
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A comparison of species co-occurrence methods within the dark diversity framework in coniferous-broadleaved mixed forests 认领 引用
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作者 Wenjin Cui Wushuang Li +2 位作者 Juan Wang Xiuhai Zhao Chunyu Zhang 《Forest Ecosystems》 SCIE CAS CSCD 2026年第2期456-463,共8页
Species co-occurrence patterns are widely used to infer the ecological suitability of species that are absent from local communities.However,such approaches are often framed within the concept of dark diversity—defin... Species co-occurrence patterns are widely used to infer the ecological suitability of species that are absent from local communities.However,such approaches are often framed within the concept of dark diversity—defined as the set of species that are ecologically suitable but currently absent from a local community—their predictions reflect different underlying mechanisms related to species co-occurrence and regional frequency.In this study,we compared two co-occurrence-based methods,Beals'index and the hypergeometric method,using vegetation survey data from mixed broadleaved-Korean pine forests(MBKF)across different successional stages in Northeast China.Method performance was assessed by predicting species suitability from co-occurrence patterns and validating predictions against observations from the surrounding area.The results show that both methods effectively assign ordered suitability values consistent with species occurrence status.Beals’index exhibited higher overall predictive accuracy but showed greater variability among plots.In contrast,the hypergeometric method provided more stable performance and yielded suitability estimates that were ecologically informative for rare species.These findings demonstrate that co-occurrence-based suitability estimates are highly sensitive to the assumptions inherent in each method.Consequently,method selection should be guided by specific research questions and management objectives.Such careful methodological choice is crucial for deriving reliable conclusions and for effectively applying co-occurrence-based approaches in biodiversity assessment and forest management. 展开更多
关键词 Dark diversity Species co-occurrence Beals'index Hypergeometric method Suitability value
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Healthcare professionals’perspectives on disclosure of diagnosis and related issues in childhood cancer:A mixed methods systematic review 认领 引用
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作者 Run Xie Xiaoyan Huang +4 位作者 Yiran Du Ying Gu Qiongfang Kang Hongsheng Wang Daqian Zhu 《International Journal of Nursing Sciences》 CSCD 2026年第1期96-104,I0006,共9页
Objectives This review aimed to systematically synthesize the available research on the disclosure of diagnosis and related issues in childhood cancer from the perspectives of healthcare professionals,with the goal of... Objectives This review aimed to systematically synthesize the available research on the disclosure of diagnosis and related issues in childhood cancer from the perspectives of healthcare professionals,with the goal of informing the optimization of disclosure processes and meeting the communication needs of affected families.Methods In accordance with the Joanna Briggs Institute(JBI)methodology for mixed methods systematic reviews,the convergent segregated approach was used in this review.Articles were retrieved from 11 databases,including PubMed,Web of Science,CINAHL,CENTRAL,Embase,Ovid/Medline,PsycINFO,PsycArticles,Scopus,ERIC,and China National Knowledge Infrastructure(CNKI).The quality of the selected articles was assessed using the Mixed Method Appraisal Tool(MMAT).The review protocol was registered on PROSPERO(CRD42024542746).Results A total of 21 studies from 10 countries were included.Their methodological quality was generally medium to high,with MMAT scores ranging from 60%to 100%.The synthesis yielded three core themes:1)the spectrum of professional and societal attitudes toward disclosure;2)the dynamic practices of navigating disclosure amid uncertainty,including timing and environment,stakeholders,and content of disclosure;and 3)factors influencing disclosure,including children’s,parental,healthcare professionals’,and socio-cultural factors.Conclusions This review synthesized the perspectives and experiences of healthcare professionals regarding disclosure in childhood cancer,highlighting the complexity and multidimensional nature of this process in clinical practice.Future research should further investigate the experiences and needs of children and their parents,explore cultural variations in disclosure practices,develop context-appropriate assessment tools,and construct multidimensional intervention strategies to enhance the humanistic care and professional effectiveness of the disclosure process. 展开更多
关键词 Communication Cancer Disclosure Healthcare professionals Mixed methods Pediatric Systematic review
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Comparison of data driven and data-mechanism hybrid driven methods for key variables prediction based on data sets with different sample sizes and noises 认领 引用
19
作者 Qihang Tan Chao Wang +2 位作者 Wange Li Jinghao Sun Jun Zhao 《ENGINEERING Chemical Engineering》 SCIE EI CAS CSCD 2026年第2期57-68,共12页
Soft measurement based on data-driven models is an important method to predict key variables in process industry due to low latency demand and economics costs.However,data-driven models cannot provide accurate predict... Soft measurement based on data-driven models is an important method to predict key variables in process industry due to low latency demand and economics costs.However,data-driven models cannot provide accurate prediction on a noisy data set with a small number of samples.In response to the challenge of noisy data and lack of samples,several data-mechanism hybrid driven methods are proposed to improve key variables prediction performances on the basis of three data-driven models including random forest,extreme gradient boosting,and artificial neural network.Simultaneously,the effectiveness of hybrid driven methods proposed is validated via two cases including benzene-toluene-xylene distillation and steam methane reforming process,where data sets feature different sample sizes and noise intensity.The comparison results show that the hybrid driven methods can improve the prediction accuracy to a certain extent.The degree of improvement depends on the noise intensity,sample size,and data-driven model selected.Under conditions of noise intensity at 10%–20%and sample size ranging from 100 to 400 in this work,after adopting the hybrid driven methods,the coefficient of determination for random forest,extreme gradient boosting,and artificial neural network can be improved by 0.3%–5.2%,0.6%–17.7%,and 0.1%–36.2%compared to corresponding data driven models. 展开更多
关键词 data-mechanism hybrid driven methods different sample sizes noise dataset machine learning process industry
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Exploring Exponential Runge-Kutta Methods:A Survey 认领 引用
20
作者 Alessia Andò Nicolo Cangiotti Mattia Sensi 《Communications in Mathematical Research》 CSCD 2026年第2期191-240,共50页
In this survey,we provide an in-depth investigation of exponential Runge-Kutta methods for the numerical integration of initial-value problems.These methods offer a valuable synthesis between classical Runge-Kutta met... In this survey,we provide an in-depth investigation of exponential Runge-Kutta methods for the numerical integration of initial-value problems.These methods offer a valuable synthesis between classical Runge-Kutta methods,introduced more than a century ago,and exponential integrators,which date back to the 1960s.This manuscript presents both a historical analysis of the development of these methods up to the present day and several examples aimed at making the topic accessible to a broad audience. 展开更多
关键词 Exponential integrators exponential Runge-Kutta methods exponential time-differencing integrating factor semilinear equations
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