Small World Effects in a Harmonious Unifying Hybrid Preferential Model Networks

Small worm effects in the harmonious unifying hybrid preferential model （HUHPM） networks are studied both numerically and analytically. The idea and method of the HUHPM is applied to three typical examples of unweighted BA model, weighted BBV model, and the TDE rnodel, so-called HUHPM-BA, HUHPM-BBV and HUHPM- TDE networks. Comparing the HUHPM with current typical models above, it is found that the HUHPM networks has the smallest average path length and the biggest average clustering coefficient. The results demonstrate that the HUHPM is more suitable not only for the un-iveighted models but also for the weighted models.

A Unifying Theory of Dark Energy, Dark Matter, and Baryonic Matter in the Positive-Negative Mass Universe Pair: Protogalaxy and Galaxy Evolutions

This paper modifies the Farnes’ unifying theory of dark energy and dark matter which are negative-mass, created continuously from the negative-mass universe in the positive-negative mass universe pair. The first modification explains that observed dark energy is 68.6%, greater than 50% for the symmetrical positive-negative mass universe pair. This paper starts with the proposed positive-negative-mass 11D universe pair (without kinetic energy) which is transformed into the positive-negative mass 10D universe pair and the external dual gravities as in the Randall-Sundrum model, resulting in the four equal and separate universes consisting of the positive-mass 10D universe, the positive-mass massive external gravity, the negative-mass 10D universe and the negative-mass massive external gravity. The positive-mass 10D universe is transformed into 4D universe (home universe) with kinetic energy through the inflation and the Big Bang to create positive-mass dark matter which is five times of positive-mass baryonic matter. The other three universes without kinetic energy oscillate between 10D and 10D through 4D, resulting in the hidden universes when D > 4 and dark energy when D = 4, which is created continuously to our 4D home universe with the maximum dark energy = 3/4 = 75%. In the second modification to explain dark matter in the CMB, dark matter initially is not repulsive. The condensed baryonic gas at the critical surface density induces dark matter repulsive force to transform dark matter in the region into repulsive dark matter repulsing one another. The calculated percentages of dark energy, dark matter, and baryonic matter are 68.6 (as an input from the observation), 26 and 5.2, respectively, in agreement with observed 68.6, 26.5 and 4.9, respectively, and dark energy started in 4.33 billion years ago in agreement with the observed 4.71 ± 0.98 billion years ago. In conclusion, the modified Farnes’ unifying theory reinterprets the Farnes’ equations, and is a unifying theory of dark energy, dark matter, and baryonic matter in the positive-negative mass universe pair. The unifying theory explains protogalaxy and galaxy evolutions in agreement with the observations.

Unifying Markets

An agreement signed in Kigali, capital of Rwanda, has caught the world＇s attention. On March 21, a total of 44 African countries agreed to establish the African Continental Free Trade Area （AfCFTA）, aimed at creat ing a single continental market for goods and services with free movement of busi nesses and investments. The agreement, signed at the 10th Extraordinary Session of the Assembly of the African Union （AU）, wlll be submitted for ratification by state parties in accordance with their domestic laws.

ChinAfrica A Unifying Tool

Media has the ability to play an important role in providing readers with information with which to shape opinions, drive initiatives and open discussion on a wide variety of topics.ChinAfrica reader, Christopher S.A.Gonolinje.

Molecular Computational Anatomy:Unifying the Particle to Tissue Continuum via Measure Representations of the Brain

Objective.The objective of this research is to unify the molecular representations of spatial transcriptomics and cellular scale histology with the tissue scales of computational anatomy for brain mapping.Impact Statement.We present a unified representation theory for brain mapping based on geometric varifold measures of the microscale deterministic structure and function with the statistical ensembles of the spatially aggregated tissue scales.Introduction.Mapping across coordinate systems in computational anatomy allows us to understand structural and functional properties of the brain at the millimeter scale.New measurement technologies in digital pathology and spatial transcriptomics allow us to measure the brain molecule by molecule and cell by cell based on protein and transcriptomic functional identity.We currently have no mathematical representations for integrating consistently the tissue limits with the molecular particle descriptions.The formalism derived here demonstrates the methodology for transitioning consistently from the molecular scale of quantized particles—using mathematical structures as first introduced by Dirac as the class of generalized functions—to the tissue scales with methods originally introduced by Euler for fluids.Methods.We introduce two mathematical methods based on notions of generalized functions and statistical mechanics.We use geometric varifolds,a product measure on space and function,to represent functional states at the micro-scales—electrophysiology,molecular histology—integrated with a Boltzmann-like program to pass from deterministic particle descriptions to empirical probabilities on the functional states at the tissue scales.Results.Our space-function varifold representation provides a recipe for traversing from molecular to tissue scales in terms of a cascade of linear space scaling composed with nonlinear functional feature mapping.Following the cascade implies every scale is a geometric measure so that a universal family of measure norms can be introduced which quantifies the geodesic connection between brains in the orbit independent of the probing technology,whether it be RNA identities,Tau or amyloid histology,spike trains,or dense MR imagery.Conclusions.We demonstrate a unified brain mapping theory for molecular and tissue scales based on geometric measure representations.We call the consistent aggregation of tissue scales from particle and cellular scales,molecular computational anatomy.

Unifying colors by primes

RGB and CYMK are two major coloring schemes currently available for light colors and pigment colors,respectively.Both systems use letter-based color codes that require a large range of values to represent different colors.The problem is that these two systems are hard to use for manipulating any operations involving combinations of colors,and they lack the capacity for inter-changeability or unification.Based on prime number theory and Goldbach's conjecture,this study presents a universal color system(C235)using a number-based structure to encode,compute and unify all colors on a color wheel.The proposed C235 system offers a unified representation for the efficient encoding and effective manipulation of color.It can be applied to designing a high-rate LCD system and colorizing objects with multiple attributes and DNA codons,opening the door to manipulating colors and lights for even broader applications.

基于超高效液相色谱-四极杆-飞行时间串联质谱联用技术的荆莲核消方化学成分分析

基于超高效液相色谱-四极杆-飞行时间质谱联用技术(UPLC-Q-TOF-MSE),结合UNIFI软件对荆莲核消方(JLHXF)进行化学成分解析。使用Supelco Ascentis?Express C18色谱柱(3.0 mm×50 mm,2.7μm)在乙腈(A)-0.1%甲酸水溶液(B)的流动相体系下进行梯度洗脱;利用电喷雾离子源(ESI)在正、负离子模式下进行扫描,借助UNIFI软件及相关文献对成分进行分析鉴定。通过UPLC-Q-TOF-MSE技术在正、负离子模式下采集复方的质谱数据,通过化合物的精确相对分子质量和串联质谱数据采用UNIFI软件辅助解析,结合对照品质谱信息及相关文献,共鉴定和推断出187个化学成分,其中黄酮类化合物77个、有机酸类化合物41个、萜类化合物26个、苯丙素类化合物24个、苯酞类化合物12个以及其他类化合物7个。UPLC-Q-TOF-MSE技术可快速鉴定出荆莲核消方中的化学成分,准确性较高,为该方药效物质基础研究提供了可靠依据。

基于UPLC-Q-TOF-MS/MS技术的黄芩清热除痹胶囊化学成分分析

应用超高效液相色谱-四极杆-飞行时间质谱(UPLC-Q-TOF-MS/MS)法,对黄芩清热除痹胶囊(HQC)的化学成分进行快速鉴定,采用Water ACQUITY UPLC BEH C_(18)(2.1 mm×100 mm,1.7μm)色谱柱,以0.1%甲酸水-乙腈为流动相进行梯度洗脱,采用电喷雾电离源(ESI)在正、负离子模式下分别采集HQC的基峰色谱图。建立HQC的化学成分数据库,基于天然产物后处理筛查平台(UNIFI)进行靶向分析,结合化合物的精确分子量、二级碎片离子信息、对照品和文献数据等进行化学结构确认。从HQC中共鉴定出82个化合物,包括37个黄酮类、11个有机酸类、14个萜类、7个苷类、5个氨基酸类、8个其他类化合物;HQC主要以黄酮类成分为主。UPLC-Q-TOF-MS/MS结合UNIFI平台的分析方法可快速鉴定HQC的化学成分。

A harmonious unifying hybrid preferential model and its universal properties for complex dynamical networks

To describe the real world which is a harmonious unification world with both de- terminism and randomness, we propose a harmonious unifying hybrid preferential model (HUHPM) of a certain class of complex dynamical networks. HUHPM is gov- erned only by the total hybrid ratio d/r according to the practical need. As some typical examples, the concepts and methods of the HUHPM are applied to the un-weighted BA model proposed by Barabási et al., the weighted BBV model pro- posed by Barat et al. and the weighted TDE model proposed by Wang et al. to get the so-called HUHPM-BA network, HUHPM-BBV network and HUHPM-TDE network. These HUHPM networks are investigated both analytically and numerically. It is found that the HUHPM reveals several universal properties, which more approach to the real-world networks for both un-weighted and weighted networks and have potential for applications.

Unified numerical predictor-corrector guidance based on characteristic model

Aerocapture is one of the key technologies for low-cost transportation,with high demands of autonomy,accuracy,and robustness of guidance and control,due to its high reliability requirements for only one chance of trying.A unified numerical predictor-corrector guidance method based on characteristic models for aerocapture is proposed.The numerical predictor-corrector guidance method is used to achieve autonomy and high accuracy,and the characteristic model control method is introduced to achieve robustness.At the same time,by transforming path constraints,characteristic model equations including apogee deviation and altitude differentiation are established.Based on the characteristic model equations,a unified guidance law which can satisfy path constraints and guidance objectives simultaneously is designed.In guidance problems,guidance deviation is not directly obtained from the output of the dynamics at present,but is calculated through integral and algebraic equations.Therefore,the method of directly discretizing differential equations cannot be used to establish characteristic models,which brings great difficulty to characteristic modeling.A method for characteristic modeling of guidance problems is proposed,and convergence analysis of the proposed guidance law is also provided.Finally,a joint numerical simulation of guidance and control considering navigation deviation and various uncertainties is conducted to verify the effectiveness of the proposed method.The proposed unified method can be extended to general aerodynamic entry guidance designs,providing theoretical and methodological support for them.

Isotopic dependence of the yield ratios of light fragments from different projectiles and their unified neutron skin thicknesses

The yield ratios of neutron-proton(R(n/p))and^(3)H-^(3)He(R(^(3)H∕^(3)He))with reduced rapidity from 0 to 0.5 were simulated at 50 MeV/u even-even ^(36−56)Ca+^(40)Ca,even-even ^(48−78)Ni+^(58)Ni,and ^(100−139)Sn(every third isotopes)+112 Sn for full reduced impact parameters using the isospin-dependent quantum molecular dynamics(IQMD)model.The neutron and proton density distributions and root-mean-square radii of the reaction systems were obtained using the Skyrme-Hartree-Fock model,which was used for the phase space initialization of the projectile and target in IQMD.We defined the unified neutron skin thickness asΔRnp=<r^(2)>^(1∕2) n−<r^(2)>^(1∕2)p,which was negative for neutron-deficient nuclei.The unifiedΔRnp values for nuclei with the same relative neutron excess from different isotopic chains were nearly equal,except for extreme neutron-rich isotopes,which is a type of scaling behavior.The yield ratios of the three isotopic chain-induced reactions,which depended on the reduced impact parameter and unified neutron skin thickness,were studied.The results showed that both R(n/p)and R(^(3)H∕^(3)He)decreased with a reduced impact parameter for extreme neutron-deficient isotopes;however,they increased with reduced impact parameters for extreme neutron-rich isotopes,and increased with theΔRnp of the projectiles for all reduced impact parameters.In addition,a scaling phenomenon was observed betweenΔR np and the yield ratios in peripheral colli-sions from different isotopic chain projectiles(except for extreme neutron-rich isotopes).Thus,R(n/p)and R(^(3)H∕^(3)He)from peripheral collisions were suggested as experimental probes for extracting the neutron or proton skin thicknesses of non-extreme neutron-rich nuclei from different isotopic chains.

Decouple charge transfer reactions in the Li-ion battery

In the development of Li-ion batteries(LIBs)with high energy/power density,long cycle-life,fast charging,and high safety,an insight into charge transfer reactions is required.Although electrochemical impedance spectroscopy(EIS)is regarded as a powerful diagnosis tool,it is not a direct but an indirect measurement.With respect to this,some critical questions need to be answered:(i)why EIS can reflect the kinetics of charge transfer reactions;(ii)what the inherent logical relationship between impedance models under different physical scenes is;(iii)how charge transfer reactions compete with each other at multiple scales.This work aims at answering these questions via developing a theory framework so as to mitigate the blindness and uncertainty in unveiling charge transfer reactions in LIBs.To systematically answer the above questions,this article is organized into a three-in-one(review,tutorial,and research)type and the following contributions are made:(i)a brief review is given for impedance model development of the LIBs over the past half century;(ii)an open source code toolbox is developed based on the unified impedance model;(iii)the competive mechanisms of charge transfer reactions are unveiled based on the developed EIS-Toolbox@LIB.This work not only clarifies theoretical fundamentals,but also provides an easy-to-use open source code for EIS-Toolbox@LIB to optimize fast charge/discharge,mitigate cycle aging,and improve energy/power density.

Influence of High-Density Bedding Plane Characteristics on Hydraulic Fracture Propagation in Shale Oil Reservoir

The existence of high-density bedding planes is a typical characteristic of shale oil reservoirs.Understanding the behavior of hydraulic fracturing in high-density laminated rocks is significant for promoting shale oil production.In this study,a hydraulic fracturing model considering tensile failure and frictional slip of the bedding planes is established within the framework of the unified pipe-interface element method(UP-IEM).The model developed for simulating the interaction between the hydraulic fracture and the bedding plane is validated by comparison with experimental results.The hydraulic fracturing patterns in sealed and unsealed bedding planes are compared.Additionally,the effects of differential stress,bedding plane permeability,spacing,and the friction coefficient of the bedding plane are investigated.The results showed that a single main fracture crossing the bedding planes is more likely to form in sealed bedding planes under high differential stress.The decrease in bedding plane permeability and the increase in the friction coefficient also promote the fracture propagating perpendicular to the bedding planes.Shale with high-density bedding planes has a poorer fracturing effect than that with low-density bedding planes,as the hydraulic fracture is prone to initiate and propagate along the bedding planes.Moreover,higher injection pressure is needed to maintain fracture propagation along the bedding.An increase in bedding density will lead to a smaller fracturing area.Fracturing fluid seepage into the bedding planes slows shale fracturing.It is recommended that increasing the injection flow rate,selecting alternative fracturing fluids,and employing multi-well/multi-cluster fracturing may be efficient methods to improve energy production in shale oil reservoirs.

Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image

The prediction of fundus fluorescein angiography(FFA)images from fundus structural images is a cutting-edge research topic in ophthalmological image processing.Prediction comprises estimating FFA from fundus camera imaging,single-phase FFA from scanning laser ophthalmoscopy(SLO),and three-phase FFA also from SLO.Although many deep learning models are available,a single model can only perform one or two of these prediction tasks.To accomplish three prediction tasks using a unified method,we propose a unified deep learning model for predicting FFA images from fundus structure images using a supervised generative adversarial network.The three prediction tasks are processed as follows:data preparation,network training under FFA supervision,and FFA image prediction from fundus structure images on a test set.By comparing the FFA images predicted by our model,pix2pix,and CycleGAN,we demonstrate the remarkable progress achieved by our proposal.The high performance of our model is validated in terms of the peak signal-to-noise ratio,structural similarity index,and mean squared error.

Assessing the range of blasting-induced cracks in the surrounding rock of deeply buried tunnels based on the unified strength theory

Blasting-induced cracks in the rock surrounding deeply buried tunnels can result in water gushing and rock mass collapse,posing significant safety risks.However,previous theoretical studies on the range of blasting-induced cracks often ignore the impact of the in-situ stress,especially that of the intermediate principal stress.The particle displacement−crack radius relationship was established in this paper by utilizing the blasthole cavity expansion equation,and theoretical analytical formulas of the stress−displacement relationship and the crack radius were derived with unified strength theory to accurately assess the range of cracks in deep surrounding rock under a blasting load.Parameter analysis showed that the crushing zone size was positively correlated with in-situ stress,intermediate principal stress,and detonation pressure,whereas negatively correlated with Poisson ratio and decoupling coefficient.The dilatancy angle-crushing zone size relationship exhibited nonmonotonic behavior.The relationships in the crushing zone and the fracture zone exhibited opposite trends under the influence of only in-situ stress or intermediate principal stress.As the in-situ stress increased from 0 to 70 MPa,the rate of change in the crack range and the attenuation rate of the peak vibration velocity gradually slowed.

Understanding factors affecting non-participants’interest in community-supported agriculture

Community-supported agriculture(CSA)has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia.This study uses the wellestablished unified theory of acceptance and use of technology(UTAUT2)model to examine the interest in CSA of potential customers in Indonesia.A standardized questionnaire was distributed to 1200 respondents,and the data were analyzed using structural equation model-partial least square(SEM-PLS)in SmartPLS 4.0 software.The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia.The model explains 44.4%of customers’intentions,and identifies performance expectancy as the decisive factor in customers’willingness to participate in CSA.Performance expectancy(0.292),hedonic motivation(0.262),social influence(0.259),and facilitating conditions(0.086)positively influence customers’interest in participating in a CSA program.The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies,offering training on sustainable farming practices,facilitating the establishment of distribution channels,and establishing guidelines for fair price and quality standards.This study shows the high potential for the implementation of CSA in Indonesia.It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.

Review of China's Energy Policy in 2023

In 2023,China's energy policy primarily focused on deepening systemic and institutional reforms,enhancing energy security capabilities,strengthening energy conservation and carbon reduction,and improving the standard system.It has laid the foundation for China's policy direction,which is predicated on ensuring energy security,centered on economic construction,and aimed at achieving the carbon peak and carbon neutrality goals on schedule.In the current key tasks,China has accelerated the construction of a big unified electricity market,vigorously promoted upgrading industries for low-carbon,high-end,and intelligent development,and established carbon markets and standard systems aligned with international practices,achieving substantial progress.

CHINA RISES TO WORLD INNOVATION POWERHOUSE

China’s persistent efforts to encourage innovations in science and technology have made remarkable achievements.The Patent Cooperation Treaty(PCT)Yearly Review 2023 gave a detailed report and statistics on global patents over the last year.The PCT is an international patent treaty that provides a unified procedure for filing and processing patent applications and facilitates the seeking of patent protection for inventions in multiple countries.

Contributing to Better Development of the Modern Civilization of Chinese Nation Celebrating the Opening of the New Museum of the Yin Xu Site

The discovery of Yin Xu has turned the history of the Shang Dynasty into credible history,continuing the trend of integrating civilizations from all directions for over a thousand years,and initiating a pattern of continuous,diversified,and unified civilization for more than three thousand years.With the Yin Xu Site as the fulcrum,it constructs the spatialtemporal system of Xia-Shang archaeology and culture.