This paper analyzes binary opposition thinking,dominant in Western societies since ancient Greece,its prevalence in philosophy,international relations,etc.While it influenced science and technology,it also caused conf...This paper analyzes binary opposition thinking,dominant in Western societies since ancient Greece,its prevalence in philosophy,international relations,etc.While it influenced science and technology,it also caused conflicts,hindering the sustainable development of humanity.The paper explores the“binary co-existence”philosophy from Eastern thought.It explains its basis,applications,and significance in overcoming global social issues currently encountered.This philosophy emphasizes mutual dependence of opposites,offering solutions to global challenges.The paper stresses the urgency of shifting from binary opposition to binary co-existence,crucial for resolving conflicts and promoting sustainable development.It discusses ways like education and media to achieve this for global harmony.展开更多
The gravitational memory effect manifests gravitational nonlinearity,degenerate vacua,and asymptotic symmetries;its detection is considered challenging.We propose using a space-borne interferometer to detect memory si...The gravitational memory effect manifests gravitational nonlinearity,degenerate vacua,and asymptotic symmetries;its detection is considered challenging.We propose using a space-borne interferometer to detect memory signals from stellar-mass binary black holes(BBHs),typically targeted by ground-based detectors.We use DECIGO detector as an example.Over 5 years,DECIGO is estimated to detect approximately 2,036 memory signals(SNRs>3)from stellar-mass BBHs.Simulations used frequency-domain memory waveforms for direct SNR estimation.Predictions utilized a GWTC-3 constrained BBH population model(Power law+Peak mass,DEFAULT spin,Madau-Dickinson merger rate).The analysis used conservative lower merger rate limits and considered orbital eccentricity.The high detection rate stems from strong memory signals within DECIGO’s bandwidth and the abundance of stellar-mass BBHs.This substantial and conservative detection count enables statistical use of the memory effect for fundamental physics and astrophysics.DECIGO exemplifies that space interferometers may better detect memory signals from smaller mass binaries than their typical targets.Detectors in lower frequency bands are expected to find strong memory signals from∼10^(4)M⊙binaries.展开更多
Sodium cocoyl glycinate(SCG),an environmentally friendly anionic amino acid surfactant,is widely used in daily chemical products as an upgraded alternative to traditional surfactants.In this study,crude Camellia oleif...Sodium cocoyl glycinate(SCG),an environmentally friendly anionic amino acid surfactant,is widely used in daily chemical products as an upgraded alternative to traditional surfactants.In this study,crude Camellia oleifera saponin(COS)was purified using AB-8 macroporous adsorption resin,and its composition and structure were analyzed.The effects of different mole fractions of COS(αCOS)on surface tension(γ),oil-water interfacial tension(IFT),emulsification,and foam properties of COS-SCG binary mixed systems were investigated in mixtures of SCG with purified COS.The stability ofγand foamability under diverse environmental conditions were also discussed.The results indicated that the COS-SCG system exhibited remarkable surface-active synergism.The minimum critical micelle concentration(cmc)of the mixed system was lower than that of SCG,and adding a small mole fraction of COS(1%-2%)induced a synergistic reduction ofγ.Specifically,the cmc andγwere 2.50×10-4 mol/L and 23.1 mN/m forαCOS=1%,respectively.The system exhibited exceptional IFT reduction capacity,achieving a minimum value of 1.42 mN/m atαCOS=10%.The mixed system reached a foaming volume(atαCOS=50%)and foam stability(atαCOS=75%)were 51.0 mL and 97.37%,respectively.Microscopic analysis further confirmed these outstanding foam properties.Moreover,the COS-SCG system displayed reducedγwith enhanced foaming volume under elevated temperatures(35-75℃)and salinity(0-20 g/L).However,acidic conditions and hard water compromised bothγstability and foamability.展开更多
In this paper,based on the structure-behavior coupling paradigm,we propose the concept of deviation of central town to describe the geography-market distance between farmers and the central regional town.Using the sur...In this paper,based on the structure-behavior coupling paradigm,we propose the concept of deviation of central town to describe the geography-market distance between farmers and the central regional town.Using the survey data from farmers in a poverty-stricken village in Western China,the impact of deviation of central town on farmers'livelihood strategies is analyzed.The results indicate that farmers exhibit spatial heterogeneity in their livelihood strategies.Those with low deviation show a strong inclination towards working in urban areas,while those with high deviation tend to integrate into rural industries.The deviation of central town influences farmers'livelihood strategies through the information effect,which is also affected by the level of rural infrastructure and public services,labor force structure and assistance policies.The obtained results are expected to provide guidance for promoting the integration of farmers into the urban-rural economic cycle based on sustainable livelihoods and connecting poverty alleviation with rural revitalization.展开更多
Most material distribution-based topology optimization methods work on a relaxed form of the optimization problem and then push the solution toward the binary limits.However,when benchmarking these methods,researchers...Most material distribution-based topology optimization methods work on a relaxed form of the optimization problem and then push the solution toward the binary limits.However,when benchmarking these methods,researchers use known solutions to only a single form of benchmark problem.This paper proposes a comparison platform for systematic benchmarking of topology optimization methods using both binary and relaxed forms.A greyness measure is implemented to evaluate how far a solution is from the desired binary form.The well-known ZhouRozvany(ZR)problem is selected as the benchmarking problem here,making use of available global solutions for both its relaxed and binary forms.The recently developed non-penalization Smooth-edged Material Distribution for Optimizing Topology(SEMDOT),well-established Solid Isotropic Material with Penalization(SIMP),and continuation methods are studied on this platform.Interestingly,in most cases,the grayscale solutions obtained by SEMDOT demonstrate better performance in dealing with the ZR problem than SIMP.The reasons are investigated and attributed to the usage of two different regularization techniques,namely,the Heaviside smooth function in SEMDOT and the power-law penalty in SIMP.More importantly,a simple-to-use benchmarking graph is proposed for evaluating newly developed topology optimization methods.展开更多
High-temperature performance of energy storage dielectric polymers is desired for many electronics and electrical applications,but the trade-off between energy density and temperature stability remains fundamentally c...High-temperature performance of energy storage dielectric polymers is desired for many electronics and electrical applications,but the trade-off between energy density and temperature stability remains fundamentally challenging.Here,we report a general material design strategy to enhance energy storage performance at high temperatures by crosslinking a polar polymer and a high glass-transition temperature polymer as a crosslinked binary blend.Such crosslinked binary polymers display a temperature-insensitive and high energy density behavior of about6.2~8.5 J cm^(-3) up to 110℃,showing a significant enhancement in thermal resistant properties and consequently outperforming most of the other ferroelectric polymers.Further microstructural investigations reveal that the improved thermal stability stems from the confinement effect on conformational motion of the crosslinking network,which is evidenced by the increased rigid amorphous fraction and steady intermolecular distance of amorphous regions from temperature-dependent X-ray diffraction results.Our findings provide a general and straightforward strategy to attain temperature-stable,high-energy-density polymer-based dielectrics for energy storage capacitors.展开更多
This work studies the impact of the carbon diffusion on the growth kinetics of austenite and the solute segregation,by utilizing the phase-field(PF)method to simulate the solidification of a Fe-C binary alloy.It is re...This work studies the impact of the carbon diffusion on the growth kinetics of austenite and the solute segregation,by utilizing the phase-field(PF)method to simulate the solidification of a Fe-C binary alloy.It is revealed that increasing the ratio of the carbon diffusion coefficient in solid to that in liquid is advantageous in reducing the solute segregation,and a novel microsegregation model is developed based on the quantitative analysis of the results from PF simulations.The simplified one-dimensional diffusion simulation is employed to analyse the quantitative relationship between the parameters of the proposed microsegregation model and the properties of materials.The universality and reliability of the new microsegregation model are then validated by comparing with the experimental data of various alloy systems.These findings contribute to our comprehension of the fundamental theory of solidification and also provide a potential and promising approach to controlling the solidification microstructure.展开更多
Thermodynamic cycles are the main approach of energy conversion,which is the main source of carbon emis-sion.The working fluid is the energy carrier of thermodynamic cycles.And refrigerant is widely employed in low an...Thermodynamic cycles are the main approach of energy conversion,which is the main source of carbon emis-sion.The working fluid is the energy carrier of thermodynamic cycles.And refrigerant is widely employed in low and medium grade energy utilization and heating ventilation and air conditioning.The refrigerant mixtures can effectively combine the advantages of their components,which plays a key role in decarbonization.As a basic thermophysical property,critical temperature,T_(c),plays an important role in thermodynamic calculation and thermodynamics system design.In this work,the structure-property relationship models of T_(c) for binary re-frigerants were established by developing predictive models based on 61 binary refrigerants with 275 sets of experimental T_(c) data and six machine learning algorithms.Also,specific halogenated groups of refrigerants are used to characterize the components and molecular structures of binary mixtures.The Multiple-layer Perceptron model owns the best fitting and generalization ability with the average deviation is lower than 2%.Compared with conventional methods,the proposed model does not rely on any experimental property data or empirical parameters,and can accurately predict T_(c) of binary refrigerant mixtures directly from their components and mixing ratios.The present work could be guided in building predictive models for other properties,thereby supporting the development of novel refrigerant mixtures.展开更多
Following publication of the original article[1],the authors found that they pasted the same data when drawing XRD for sample NCO-1 and NCO-2 in Fig.2a,however,the XRD of all four samples in the manuscript was tested,...Following publication of the original article[1],the authors found that they pasted the same data when drawing XRD for sample NCO-1 and NCO-2 in Fig.2a,however,the XRD of all four samples in the manuscript was tested,and XRD raw data were kept and can be offered.The correct Fig.2 has been provided in this Correction.展开更多
The chain conformation of polymers in binary solvent mixtures is a key issue in the study of functional soft matter and lies at the heart of various applications such as smart soft materials.Based on a minimal lattice...The chain conformation of polymers in binary solvent mixtures is a key issue in the study of functional soft matter and lies at the heart of various applications such as smart soft materials.Based on a minimal lattice model,we employ Monte Carlo(MC)simulation to systematically investigate the effects of solvent qualities on the conformation of a single homopolymer chain in binary mixed solvents.We also perform calculations using a Flory-type mean-field theory.We focus on how the introduction of a second solvent B affects the dependence of chain conformation on the quality of solvent A.We mainly examine the effects of the composition of solvent B,denoted by x,and the interactions between the two solvents.First,when x is low,the mean-square chain radius of gyration exhibits qualitatively similar behaviors to those in an individual solvent A,with a slight chain contraction when solvent A is very good.Second,in equal-molar mixtures with x=0.5,a homopolymer chain collapses when solvent A is either poor or very good,while expands at intermediate qualities.Lastly,at large x,a chain undergoes a coil-to-globule transition with the increasing quality of solvent A when solvent B is good,but mainly adopts the collapsed conformation when solvent B is poor.Our findings not only improve our understanding on the chain conformation in binary solvent mixtures,but also provide valuable guidance on the rational design of stimuli-responsive polymeric materials.展开更多
Background:To investigate the consistency level of binary symptom assessment in patients with heart failure and their primary caregivers,and to analyze the related factors influencing consistency.Methods:By using the ...Background:To investigate the consistency level of binary symptom assessment in patients with heart failure and their primary caregivers,and to analyze the related factors influencing consistency.Methods:By using the convenience sampling method,patients with heart failure and their main caregivers in the Department of Cardiology of a tertiary hospital in Suzhou from May to November 2023 were selected as the research subjects.The HFSS scale was used for data collection.The paired t-test or paired Wilcoxon test was used to evaluate the differences in the binary symptom assessment scores of heart failure.The intraclass correlation coefficient was used to assess the consistency level of the binary symptom assessment.The Pearson correlation test was used to examine the correlation of the binary symptom assessment.Regression analysis was employed to explore the factors related to the consistency assessment.Results:A total of 103 pairs of valid questionnaires were collected.The consistency levels of symptom evaluations in patients with heart failure and their primary caregivers were statistically significant(P<0.05).The most frequently reported and severe symptom by patients with heart failure and their primary caregivers is shortness of breath during activity.Both have a high consensus on the severity and urgency of most heart failure symptoms.The patient’s gender,body mass index,number of children,history of diabetes,number of comorbidities,mean arterial pressure,LVEF,number of stents,whether a defibrillator was implanted,as well as the gender,marital status,education level,relationship with the patient,care time,whether they lived together,and communication and interaction situation of the main caregiver were the influencing factors for the consistency of binary symptom assessment of heart failure(P<0.05).Conclusion:The degree of consistency in binary symptom assessment between patients with heart failure and their primary caregivers was moderate or higher,which emphasizes the importance of including binary groups in clinical assessment.展开更多
Protocol Reverse Engineering(PRE)is of great practical importance in Internet security-related fields such as intrusion detection,vulnerability mining,and protocol fuzzing.For unknown binary protocols having fixed-len...Protocol Reverse Engineering(PRE)is of great practical importance in Internet security-related fields such as intrusion detection,vulnerability mining,and protocol fuzzing.For unknown binary protocols having fixed-length fields,and the accurate identification of field boundaries has a great impact on the subsequent analysis and final performance.Hence,this paper proposes a new protocol segmentation method based on Information-theoretic statistical analysis for binary protocols by formulating the field segmentation of unsupervised binary protocols as a probabilistic inference problem and modeling its uncertainty.Specifically,we design four related constructions between entropy changes and protocol field segmentation,introduce random variables,and construct joint probability distributions with traffic sample observations.Probabilistic inference is then performed to identify the possible protocol segmentation points.Extensive trials on nine common public and industrial control protocols show that the proposed method yields higher-quality protocol segmentation results.展开更多
In integrated circuit packaging,thermal interface materials(TIMs)must exhibit high thermal conductivity and electrical resistivity to prevent short circuits,enhance reliability,and ensure safety in high-voltage applic...In integrated circuit packaging,thermal interface materials(TIMs)must exhibit high thermal conductivity and electrical resistivity to prevent short circuits,enhance reliability,and ensure safety in high-voltage applications.We proposed the thermal-percolation electrical-resistive TIM incorporating binary fillers of both insulating and metallic nanowires with an orientation in the insulating polymer matrix.High thermal conductivity can be achieved through thermal percolation,while electrical non-conductivity is preserved by carefully controlling the electrical percolation threshold through metallic nanowire orientation.The electrical conductivity of the composite can be further regulated by adjusting the orientation and aspect ratio of the metallic fillers.A thermal conductivity of 10 W·m^(-1)·K^(-1)is achieved,with electrical non-conductive behavior preserved.This approach offers a pathway to realizing“thermal-percolation electrical-resistive”in hybrid TIMs,providing a strategic framework for designing high-performance TIMs.展开更多
Binary Code Similarity Detection(BCSD)is vital for vulnerability discovery,malware detection,and software security,especially when source code is unavailable.Yet,it faces challenges from semantic loss,recompilation va...Binary Code Similarity Detection(BCSD)is vital for vulnerability discovery,malware detection,and software security,especially when source code is unavailable.Yet,it faces challenges from semantic loss,recompilation variations,and obfuscation.Recent advances in artificial intelligence—particularly natural language processing(NLP),graph representation learning(GRL),and large language models(LLMs)—have markedly improved accuracy,enabling better recognition of code variants and deeper semantic understanding.This paper presents a comprehensive review of 82 studies published between 1975 and 2025,systematically tracing the historical evolution of BCSD and analyzing the progressive incorporation of artificial intelligence(AI)techniques.Particular emphasis is placed on the role of LLMs,which have recently emerged as transformative tools in advancing semantic representation and enhancing detection performance.The review is organized around five central research questions:(1)the chronological development and milestones of BCSD;(2)the construction of AI-driven technical roadmaps that chart methodological transitions;(3)the design and implementation of general analytical workflows for binary code analysis;(4)the applicability,strengths,and limitations of LLMs in capturing semantic and structural features of binary code;and(5)the persistent challenges and promising directions for future investigation.By synthesizing insights across these dimensions,the study demonstrates how LLMs reshape the landscape of binary code analysis,offering unprecedented opportunities to improve accuracy,scalability,and adaptability in real-world scenarios.This review not only bridges a critical gap in the existing literature but also provides a forward-looking perspective,serving as a valuable reference for researchers and practitioners aiming to advance AI-powered BCSD methodologies and applications.展开更多
The protagonist of The Catcher in the Rye,Holden,is a classic and complex character which has binary opposite personalities.By means of employing Nietzsche's aesthetic theory of the Apollonian spirit and Dionysian...The protagonist of The Catcher in the Rye,Holden,is a classic and complex character which has binary opposite personalities.By means of employing Nietzsche's aesthetic theory of the Apollonian spirit and Dionysian spirit,Holden's personalities will be analyzed in this paper.As for his exterior ambivalent attitudes,he is considered as an honest liar and an obedient rebel;while as for his interior two-sided personalities,he can be seen as a brave coward,a childish mature and a cynical caring people.To gain an insight into the main courses of the Apollonian and Dionysian Holden,several important factors will be listed,thus,a new perspective and thinking for the study of The Catcher in the Rye will be recommended.展开更多
We simulate the gravitational redshift of quantum matter waves with a long de Broglie wavelength by tracing particle beams along geodesics,when they propagate within the rotation plane of binary black holes.The angula...We simulate the gravitational redshift of quantum matter waves with a long de Broglie wavelength by tracing particle beams along geodesics,when they propagate within the rotation plane of binary black holes.The angular momentum of the binary black hole causes an asymmetric gravitational redshift distribution around the two black holes.The gravitational redshift changes the frequency of quantum matter waves and their wavelength,resulting in the different interference patterns of quantum matter waves with respect to different wavelengths.The interference pattern demonstrates strong contrast intensity and spatial order with respect to different wavelengths and the rotational angle of the binary black hole.A bright semicircular arc emerges from the interference pattern to bridge the two black holes,when they rotate to certain angles,which provides a theoretical understanding on the gravitational lensing effect of quantum matter waves.展开更多
[Objective] The aim of this study is to provide theoretical basis for immunizing waterfowls(duck and goose)with the inactivated oil emulsion binary vaccine against Newcastle Disease(ND)and Fowl Cholera(FC).[Method]Bac...[Objective] The aim of this study is to provide theoretical basis for immunizing waterfowls(duck and goose)with the inactivated oil emulsion binary vaccine against Newcastle Disease(ND)and Fowl Cholera(FC).[Method]Bacterial liquid from solid culture media inoculated avian Pasteurella multocida(APM)type A and allantoic fluid from embryonic eggs infected with Newcastle Disease Virus(NDV)attenuated strain La Sota were mixed and inactivated by formalin to prepare 5 batches of inactivated oil emulsion binary vaccine,which were then used for the safety and immune efficacy test on duck and goose.[Result]Immunized ducks and geese didn't performed any adverse reactions in the safety test of the 5 batches of vaccine;the immune efficacy test showed that ND-HI antibody titers of ducks and geese were no less than 4 log2 three weeks after inoculation,and the protection rates against NDV and APM were 100% and 66.7%-83.3%,respectively.[Conclusion]The binary vaccine against ND and FC is safe and reliable for duck and goose,and can provide them with sufficient immunity protection against ND and FC.展开更多
Based on the entropy function, a two-dimensional phase field model of binary alloys was established. Meanwhile, an explicit difference method with uniform grid was adopted to solve the phase field and solute field con...Based on the entropy function, a two-dimensional phase field model of binary alloys was established. Meanwhile, an explicit difference method with uniform grid was adopted to solve the phase field and solute field controlled equations. And the alternating direction implicit(ADI) algorithm for solving temperature field controlled equation was also employed to avoid the restriction of time step. Some characteristics of the Ni-Cu alloy were captured in the process of non-isothermal solidification, and the comparative analysis of the isothermal and the non-isothermal solidification was investigated. The simulation results indicate that the non-isothermal model is favorable to simulate the real solidification process of binary alloys, and when the thermal diffusivity decreases, the non-isothermal phase-field model is gradually consistent with the isothermal phase-field model.展开更多
A novel method,bath smelting process,was developed to treat molybdenite concentrate aiming at the existing problems of traditional process.To understand the dissolving behavior of MoS2 in white matte,the binary phase ...A novel method,bath smelting process,was developed to treat molybdenite concentrate aiming at the existing problems of traditional process.To understand the dissolving behavior of MoS2 in white matte,the binary phase diagram of Cu2S-Mo2S was measured by the cooling curve method.The result shows that this system is a simple binary eutectic with a eutectic temperature of（1117.0±3.0）℃ and a eutectic composition of（1.70±0.20）% MoS2 in mass fraction.When the MoS2 addition exceeds 4.48%,MoS2 and Cu2S can form the ternary compound containing CuMo2S3 or Cu2Mo6S8.In the temperature range of copper smelting,1200-1300℃,molybdenite can dissolve in the cuprous sulfide.At 1200℃,the solubility of molybdenite can reach 14.8%.展开更多
基金supported by the Scientific Research Funding Project of Westlake University under Grant No.WU2024A001.
文摘This paper analyzes binary opposition thinking,dominant in Western societies since ancient Greece,its prevalence in philosophy,international relations,etc.While it influenced science and technology,it also caused conflicts,hindering the sustainable development of humanity.The paper explores the“binary co-existence”philosophy from Eastern thought.It explains its basis,applications,and significance in overcoming global social issues currently encountered.This philosophy emphasizes mutual dependence of opposites,offering solutions to global challenges.The paper stresses the urgency of shifting from binary opposition to binary co-existence,crucial for resolving conflicts and promoting sustainable development.It discusses ways like education and media to achieve this for global harmony.
基金supported by the National Natural Science Foundation of China(Grant Nos.11633001,11920101003,and 12205222 for S.H.)the Key Program of the National Natural Science Foundation of China(Grant No.12433001)+1 种基金the Strate-gic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB23000000)the National Key Research and Development Program of China(Grant No.2021YFC2203001 for Z.C.Z.).
文摘The gravitational memory effect manifests gravitational nonlinearity,degenerate vacua,and asymptotic symmetries;its detection is considered challenging.We propose using a space-borne interferometer to detect memory signals from stellar-mass binary black holes(BBHs),typically targeted by ground-based detectors.We use DECIGO detector as an example.Over 5 years,DECIGO is estimated to detect approximately 2,036 memory signals(SNRs>3)from stellar-mass BBHs.Simulations used frequency-domain memory waveforms for direct SNR estimation.Predictions utilized a GWTC-3 constrained BBH population model(Power law+Peak mass,DEFAULT spin,Madau-Dickinson merger rate).The analysis used conservative lower merger rate limits and considered orbital eccentricity.The high detection rate stems from strong memory signals within DECIGO’s bandwidth and the abundance of stellar-mass BBHs.This substantial and conservative detection count enables statistical use of the memory effect for fundamental physics and astrophysics.DECIGO exemplifies that space interferometers may better detect memory signals from smaller mass binaries than their typical targets.Detectors in lower frequency bands are expected to find strong memory signals from∼10^(4)M⊙binaries.
文摘Sodium cocoyl glycinate(SCG),an environmentally friendly anionic amino acid surfactant,is widely used in daily chemical products as an upgraded alternative to traditional surfactants.In this study,crude Camellia oleifera saponin(COS)was purified using AB-8 macroporous adsorption resin,and its composition and structure were analyzed.The effects of different mole fractions of COS(αCOS)on surface tension(γ),oil-water interfacial tension(IFT),emulsification,and foam properties of COS-SCG binary mixed systems were investigated in mixtures of SCG with purified COS.The stability ofγand foamability under diverse environmental conditions were also discussed.The results indicated that the COS-SCG system exhibited remarkable surface-active synergism.The minimum critical micelle concentration(cmc)of the mixed system was lower than that of SCG,and adding a small mole fraction of COS(1%-2%)induced a synergistic reduction ofγ.Specifically,the cmc andγwere 2.50×10-4 mol/L and 23.1 mN/m forαCOS=1%,respectively.The system exhibited exceptional IFT reduction capacity,achieving a minimum value of 1.42 mN/m atαCOS=10%.The mixed system reached a foaming volume(atαCOS=50%)and foam stability(atαCOS=75%)were 51.0 mL and 97.37%,respectively.Microscopic analysis further confirmed these outstanding foam properties.Moreover,the COS-SCG system displayed reducedγwith enhanced foaming volume under elevated temperatures(35-75℃)and salinity(0-20 g/L).However,acidic conditions and hard water compromised bothγstability and foamability.
文摘In this paper,based on the structure-behavior coupling paradigm,we propose the concept of deviation of central town to describe the geography-market distance between farmers and the central regional town.Using the survey data from farmers in a poverty-stricken village in Western China,the impact of deviation of central town on farmers'livelihood strategies is analyzed.The results indicate that farmers exhibit spatial heterogeneity in their livelihood strategies.Those with low deviation show a strong inclination towards working in urban areas,while those with high deviation tend to integrate into rural industries.The deviation of central town influences farmers'livelihood strategies through the information effect,which is also affected by the level of rural infrastructure and public services,labor force structure and assistance policies.The obtained results are expected to provide guidance for promoting the integration of farmers into the urban-rural economic cycle based on sustainable livelihoods and connecting poverty alleviation with rural revitalization.
文摘Most material distribution-based topology optimization methods work on a relaxed form of the optimization problem and then push the solution toward the binary limits.However,when benchmarking these methods,researchers use known solutions to only a single form of benchmark problem.This paper proposes a comparison platform for systematic benchmarking of topology optimization methods using both binary and relaxed forms.A greyness measure is implemented to evaluate how far a solution is from the desired binary form.The well-known ZhouRozvany(ZR)problem is selected as the benchmarking problem here,making use of available global solutions for both its relaxed and binary forms.The recently developed non-penalization Smooth-edged Material Distribution for Optimizing Topology(SEMDOT),well-established Solid Isotropic Material with Penalization(SIMP),and continuation methods are studied on this platform.Interestingly,in most cases,the grayscale solutions obtained by SEMDOT demonstrate better performance in dealing with the ZR problem than SIMP.The reasons are investigated and attributed to the usage of two different regularization techniques,namely,the Heaviside smooth function in SEMDOT and the power-law penalty in SIMP.More importantly,a simple-to-use benchmarking graph is proposed for evaluating newly developed topology optimization methods.
基金supported by the National Natural Science Foundation of China(Grant No.52207031)the National Key R&D Program of China(Grant No.2020YFA0710500)。
文摘High-temperature performance of energy storage dielectric polymers is desired for many electronics and electrical applications,but the trade-off between energy density and temperature stability remains fundamentally challenging.Here,we report a general material design strategy to enhance energy storage performance at high temperatures by crosslinking a polar polymer and a high glass-transition temperature polymer as a crosslinked binary blend.Such crosslinked binary polymers display a temperature-insensitive and high energy density behavior of about6.2~8.5 J cm^(-3) up to 110℃,showing a significant enhancement in thermal resistant properties and consequently outperforming most of the other ferroelectric polymers.Further microstructural investigations reveal that the improved thermal stability stems from the confinement effect on conformational motion of the crosslinking network,which is evidenced by the increased rigid amorphous fraction and steady intermolecular distance of amorphous regions from temperature-dependent X-ray diffraction results.Our findings provide a general and straightforward strategy to attain temperature-stable,high-energy-density polymer-based dielectrics for energy storage capacitors.
基金supported by the National Science and Technology Major Project(Grant No.J2019-VI-0019-0134)the National Natural Science Foundation of China(Grant No.52203301)+1 种基金the China Postdoctoral Science Foundation(Grant No.2021TQ0335)the Liaoning Province Science and Technology Plan Joint Fund(Doctoral Research Initiation Project)(Grant No.2024-BSLH-195).
文摘This work studies the impact of the carbon diffusion on the growth kinetics of austenite and the solute segregation,by utilizing the phase-field(PF)method to simulate the solidification of a Fe-C binary alloy.It is revealed that increasing the ratio of the carbon diffusion coefficient in solid to that in liquid is advantageous in reducing the solute segregation,and a novel microsegregation model is developed based on the quantitative analysis of the results from PF simulations.The simplified one-dimensional diffusion simulation is employed to analyse the quantitative relationship between the parameters of the proposed microsegregation model and the properties of materials.The universality and reliability of the new microsegregation model are then validated by comparing with the experimental data of various alloy systems.These findings contribute to our comprehension of the fundamental theory of solidification and also provide a potential and promising approach to controlling the solidification microstructure.
基金supported by the National Natural Science Foundation of China(No.52276001)the Natural Science Foundation of Chongqing,China(No.CSTB2023NSCQ-MSX0353 and No.CSTB2023TIAD-KPX0087).
文摘Thermodynamic cycles are the main approach of energy conversion,which is the main source of carbon emis-sion.The working fluid is the energy carrier of thermodynamic cycles.And refrigerant is widely employed in low and medium grade energy utilization and heating ventilation and air conditioning.The refrigerant mixtures can effectively combine the advantages of their components,which plays a key role in decarbonization.As a basic thermophysical property,critical temperature,T_(c),plays an important role in thermodynamic calculation and thermodynamics system design.In this work,the structure-property relationship models of T_(c) for binary re-frigerants were established by developing predictive models based on 61 binary refrigerants with 275 sets of experimental T_(c) data and six machine learning algorithms.Also,specific halogenated groups of refrigerants are used to characterize the components and molecular structures of binary mixtures.The Multiple-layer Perceptron model owns the best fitting and generalization ability with the average deviation is lower than 2%.Compared with conventional methods,the proposed model does not rely on any experimental property data or empirical parameters,and can accurately predict T_(c) of binary refrigerant mixtures directly from their components and mixing ratios.The present work could be guided in building predictive models for other properties,thereby supporting the development of novel refrigerant mixtures.
文摘Following publication of the original article[1],the authors found that they pasted the same data when drawing XRD for sample NCO-1 and NCO-2 in Fig.2a,however,the XRD of all four samples in the manuscript was tested,and XRD raw data were kept and can be offered.The correct Fig.2 has been provided in this Correction.
基金financially supported by the National Natural Science Foundation of China(Nos.22473024,22073016 and 21803011)the award of Shanghai Dongfang Scholar。
文摘The chain conformation of polymers in binary solvent mixtures is a key issue in the study of functional soft matter and lies at the heart of various applications such as smart soft materials.Based on a minimal lattice model,we employ Monte Carlo(MC)simulation to systematically investigate the effects of solvent qualities on the conformation of a single homopolymer chain in binary mixed solvents.We also perform calculations using a Flory-type mean-field theory.We focus on how the introduction of a second solvent B affects the dependence of chain conformation on the quality of solvent A.We mainly examine the effects of the composition of solvent B,denoted by x,and the interactions between the two solvents.First,when x is low,the mean-square chain radius of gyration exhibits qualitatively similar behaviors to those in an individual solvent A,with a slight chain contraction when solvent A is very good.Second,in equal-molar mixtures with x=0.5,a homopolymer chain collapses when solvent A is either poor or very good,while expands at intermediate qualities.Lastly,at large x,a chain undergoes a coil-to-globule transition with the increasing quality of solvent A when solvent B is good,but mainly adopts the collapsed conformation when solvent B is poor.Our findings not only improve our understanding on the chain conformation in binary solvent mixtures,but also provide valuable guidance on the rational design of stimuli-responsive polymeric materials.
文摘Background:To investigate the consistency level of binary symptom assessment in patients with heart failure and their primary caregivers,and to analyze the related factors influencing consistency.Methods:By using the convenience sampling method,patients with heart failure and their main caregivers in the Department of Cardiology of a tertiary hospital in Suzhou from May to November 2023 were selected as the research subjects.The HFSS scale was used for data collection.The paired t-test or paired Wilcoxon test was used to evaluate the differences in the binary symptom assessment scores of heart failure.The intraclass correlation coefficient was used to assess the consistency level of the binary symptom assessment.The Pearson correlation test was used to examine the correlation of the binary symptom assessment.Regression analysis was employed to explore the factors related to the consistency assessment.Results:A total of 103 pairs of valid questionnaires were collected.The consistency levels of symptom evaluations in patients with heart failure and their primary caregivers were statistically significant(P<0.05).The most frequently reported and severe symptom by patients with heart failure and their primary caregivers is shortness of breath during activity.Both have a high consensus on the severity and urgency of most heart failure symptoms.The patient’s gender,body mass index,number of children,history of diabetes,number of comorbidities,mean arterial pressure,LVEF,number of stents,whether a defibrillator was implanted,as well as the gender,marital status,education level,relationship with the patient,care time,whether they lived together,and communication and interaction situation of the main caregiver were the influencing factors for the consistency of binary symptom assessment of heart failure(P<0.05).Conclusion:The degree of consistency in binary symptom assessment between patients with heart failure and their primary caregivers was moderate or higher,which emphasizes the importance of including binary groups in clinical assessment.
文摘Protocol Reverse Engineering(PRE)is of great practical importance in Internet security-related fields such as intrusion detection,vulnerability mining,and protocol fuzzing.For unknown binary protocols having fixed-length fields,and the accurate identification of field boundaries has a great impact on the subsequent analysis and final performance.Hence,this paper proposes a new protocol segmentation method based on Information-theoretic statistical analysis for binary protocols by formulating the field segmentation of unsupervised binary protocols as a probabilistic inference problem and modeling its uncertainty.Specifically,we design four related constructions between entropy changes and protocol field segmentation,introduce random variables,and construct joint probability distributions with traffic sample observations.Probabilistic inference is then performed to identify the possible protocol segmentation points.Extensive trials on nine common public and industrial control protocols show that the proposed method yields higher-quality protocol segmentation results.
基金supported by the National Key R&D Program(Grant No.2022YFA1203-100)sponsorship by Shanghai Sailing Program(Grant No.24YF2713800)+2 种基金financial support from the Local College Capacity Building Project of Shanghai Municipal Science and Technology Commission(Grant No.20010500700)the Natural Science Foundation of Shanghai(Grant No.23ZR1424300)Shanghai Shuguang Program(Grant No.22SG56)。
文摘In integrated circuit packaging,thermal interface materials(TIMs)must exhibit high thermal conductivity and electrical resistivity to prevent short circuits,enhance reliability,and ensure safety in high-voltage applications.We proposed the thermal-percolation electrical-resistive TIM incorporating binary fillers of both insulating and metallic nanowires with an orientation in the insulating polymer matrix.High thermal conductivity can be achieved through thermal percolation,while electrical non-conductivity is preserved by carefully controlling the electrical percolation threshold through metallic nanowire orientation.The electrical conductivity of the composite can be further regulated by adjusting the orientation and aspect ratio of the metallic fillers.A thermal conductivity of 10 W·m^(-1)·K^(-1)is achieved,with electrical non-conductive behavior preserved.This approach offers a pathway to realizing“thermal-percolation electrical-resistive”in hybrid TIMs,providing a strategic framework for designing high-performance TIMs.
文摘Binary Code Similarity Detection(BCSD)is vital for vulnerability discovery,malware detection,and software security,especially when source code is unavailable.Yet,it faces challenges from semantic loss,recompilation variations,and obfuscation.Recent advances in artificial intelligence—particularly natural language processing(NLP),graph representation learning(GRL),and large language models(LLMs)—have markedly improved accuracy,enabling better recognition of code variants and deeper semantic understanding.This paper presents a comprehensive review of 82 studies published between 1975 and 2025,systematically tracing the historical evolution of BCSD and analyzing the progressive incorporation of artificial intelligence(AI)techniques.Particular emphasis is placed on the role of LLMs,which have recently emerged as transformative tools in advancing semantic representation and enhancing detection performance.The review is organized around five central research questions:(1)the chronological development and milestones of BCSD;(2)the construction of AI-driven technical roadmaps that chart methodological transitions;(3)the design and implementation of general analytical workflows for binary code analysis;(4)the applicability,strengths,and limitations of LLMs in capturing semantic and structural features of binary code;and(5)the persistent challenges and promising directions for future investigation.By synthesizing insights across these dimensions,the study demonstrates how LLMs reshape the landscape of binary code analysis,offering unprecedented opportunities to improve accuracy,scalability,and adaptability in real-world scenarios.This review not only bridges a critical gap in the existing literature but also provides a forward-looking perspective,serving as a valuable reference for researchers and practitioners aiming to advance AI-powered BCSD methodologies and applications.
文摘The protagonist of The Catcher in the Rye,Holden,is a classic and complex character which has binary opposite personalities.By means of employing Nietzsche's aesthetic theory of the Apollonian spirit and Dionysian spirit,Holden's personalities will be analyzed in this paper.As for his exterior ambivalent attitudes,he is considered as an honest liar and an obedient rebel;while as for his interior two-sided personalities,he can be seen as a brave coward,a childish mature and a cynical caring people.To gain an insight into the main courses of the Apollonian and Dionysian Holden,several important factors will be listed,thus,a new perspective and thinking for the study of The Catcher in the Rye will be recommended.
文摘We simulate the gravitational redshift of quantum matter waves with a long de Broglie wavelength by tracing particle beams along geodesics,when they propagate within the rotation plane of binary black holes.The angular momentum of the binary black hole causes an asymmetric gravitational redshift distribution around the two black holes.The gravitational redshift changes the frequency of quantum matter waves and their wavelength,resulting in the different interference patterns of quantum matter waves with respect to different wavelengths.The interference pattern demonstrates strong contrast intensity and spatial order with respect to different wavelengths and the rotational angle of the binary black hole.A bright semicircular arc emerges from the interference pattern to bridge the two black holes,when they rotate to certain angles,which provides a theoretical understanding on the gravitational lensing effect of quantum matter waves.
基金Supported by the 11th Five-Year Plan Key Project Funded by Science and Technology Department of Hubei Province(2006AA202A05)~~
文摘[Objective] The aim of this study is to provide theoretical basis for immunizing waterfowls(duck and goose)with the inactivated oil emulsion binary vaccine against Newcastle Disease(ND)and Fowl Cholera(FC).[Method]Bacterial liquid from solid culture media inoculated avian Pasteurella multocida(APM)type A and allantoic fluid from embryonic eggs infected with Newcastle Disease Virus(NDV)attenuated strain La Sota were mixed and inactivated by formalin to prepare 5 batches of inactivated oil emulsion binary vaccine,which were then used for the safety and immune efficacy test on duck and goose.[Result]Immunized ducks and geese didn't performed any adverse reactions in the safety test of the 5 batches of vaccine;the immune efficacy test showed that ND-HI antibody titers of ducks and geese were no less than 4 log2 three weeks after inoculation,and the protection rates against NDV and APM were 100% and 66.7%-83.3%,respectively.[Conclusion]The binary vaccine against ND and FC is safe and reliable for duck and goose,and can provide them with sufficient immunity protection against ND and FC.
基金Projects(51161011,11364024)supported by the National Natural Science Foundation of China
文摘Based on the entropy function, a two-dimensional phase field model of binary alloys was established. Meanwhile, an explicit difference method with uniform grid was adopted to solve the phase field and solute field controlled equations. And the alternating direction implicit(ADI) algorithm for solving temperature field controlled equation was also employed to avoid the restriction of time step. Some characteristics of the Ni-Cu alloy were captured in the process of non-isothermal solidification, and the comparative analysis of the isothermal and the non-isothermal solidification was investigated. The simulation results indicate that the non-isothermal model is favorable to simulate the real solidification process of binary alloys, and when the thermal diffusivity decreases, the non-isothermal phase-field model is gradually consistent with the isothermal phase-field model.
基金Project(50974137)supported by the National Natural Science Foundation of China
文摘A novel method,bath smelting process,was developed to treat molybdenite concentrate aiming at the existing problems of traditional process.To understand the dissolving behavior of MoS2 in white matte,the binary phase diagram of Cu2S-Mo2S was measured by the cooling curve method.The result shows that this system is a simple binary eutectic with a eutectic temperature of（1117.0±3.0）℃ and a eutectic composition of（1.70±0.20）% MoS2 in mass fraction.When the MoS2 addition exceeds 4.48%,MoS2 and Cu2S can form the ternary compound containing CuMo2S3 or Cu2Mo6S8.In the temperature range of copper smelting,1200-1300℃,molybdenite can dissolve in the cuprous sulfide.At 1200℃,the solubility of molybdenite can reach 14.8%.
