Constant Growth Rate Research Articles

A predator-prey model for the optimal control of fish harvesting through the imposition of a tax

This paper is devoted to the study of ecosystem based fisheries management. The model represents the interaction between prey and predator population with Holling II functional response consisting of different carrying capacities and constant intrinsic growth rates. We have considered the continuous harvesting of predator only. It is observed that if the intrinsic growth rate of predator population crosses a certain critical value, the system enters into Hopf bifurcation. Our observations indicate that tax, the management object in fisheries system play huge impacts on this system. The optimal harvesting policy is disposed by imposing a tax per unit of predator biomass. The optimal harvest strategy is determined using Pontryagin's maximum principle, which is subject to state equations and control limitations. The implications of tax are also examined. We have derived different bifurcations and global stability of the system. Finally, numerical simulations are used to back up the analytical results.

Photoprotective and antigenotoxic properties of Cutibacterium acnes ecotypes native to terrestrial subsurface habitats.

Actinobacteria are known to produce a variety of secondary metabolites with skin-protective properties. This study aimed to investigate the photoprotective and antigenotoxic properties against UVB of extracts obtained from Cutibacterium acnes strains. Bacterial growth was measured spectrophotometrically and the constant maximum growth rate (μ) value to each strain, were calculated. In vitro photoprotection efficacy was evaluated using in vitro indices such as sun protection factor (SPFespectrophotometric) and critical wavelength (λc). UVB-antigenotoxicity was also evaluated using the SOS Chromotest. Correlation analysis was used to examine the relationship between SPFespectrophotometric and extract concentration and the %GI estimates. Among the studied strains, one showed low (6.0≤SPFespectrophotometric≤14.9) and eight showed media (15.0≤SPFespectrophotometric≤29.9) UVB photoprotection efficacy. All of them resulted in broad-spectrum (UVA-UVB) photoprotection (λc > 370nm). In total, two C. acnes ecotypes with different growth rates were evidenced, but the protective metabolites in the extracts were produced without the influence of growth rate. Photoprotective efficacy depended on the extract concentration and was correlated with antigenotoxicity. We demonstrated that C. acnes extracts can be used as sunscreen ingredients that reduce UVB-induced genotoxicity.

Physical, Static, and Kinetic Analysis of the Electrochemical Deposition Process for the Recovery of Heavy Metal from Industrial Wastewater.

Through the electrodeposition technique, toxic metals in wastewater can be removed and deposited on a chosen substrate with excellent selectivity. In this work, we use this technique to extract lead cations from simulated wastewater by using fluorine-doped tin oxide (FTO) substrate at various temperatures. In situ tracking of lead nucleation at advanced stages has been achieved by chronoamperometry. According to the experimental results, the theoretical models developed to study the kinetic growth of lead deposits in 2D and 3D are in good agreement. Nucleation rate and growth rate constants, for example, were found to be strongly influenced by temperature. Cottrell's equation is used to calculate the diffusion coefficient. X-ray diffraction, scanning electron microscopy, and energy-dispersiveX-ray techniques were used to investigate and characterize the lead deposits. The reported results could provide insight into the optimization of electrodeposition processes for heavy metal recovery from wastewater and electronic wastes.

Multiphasic mixed growth models for turkeys.

Growth models are important for optimization of feed formulation and breeding programs in turkeys. The objectives of this study were 1) to compare sex and line differences in turkeys in parameter estimates of mono- and di-phasic Gompertz growth models, and 2) to evaluate mono and diphasic mixed Gompertz growth models to determine the variation in parameter estimates in a group of female line turkey toms. A total of 1,056 manually recorded weekly average body weight (BW) observations from male and female turkeys of a male and female line from weeks 1 to 20 were used for objective 1. Daily median values of automatically collected individual BW of female line turkey toms were used for objective 2 and random components associated with individual subject animals related to mature weight and/or timing of maximum gain during each phase were introduced in the Gompertz model. Growth curve shapes were different between male line toms, male line hens, female line toms, and female line hens (P < 0.001). However, inflection points were similar between male and female line toms and between male and female line hens (14.06 vs. 13.72 wk and 11.22 and 10.71 wk, respectively), while mature BW differed between lines by 6.49 and 3.81 kg for toms and hens, respectively. The normalized growth rate constant (growth rate constant corrected for mature weight) was around the same magnitude between male and female line toms (0.0031 vs. 0.0038, respectively), but slightly lower in male line hens compared to female line hens (0.0072 vs. 0.0091, respectively). Diphasic Gompertz models described growth better in all line × sex combinations compared to the monophasic models (P < 0.001) and mixed diphasic Gompertz models showed improved fit over mixed monophasic Gompertz models. The correlation structure of the random components identified that individuals with a higher mature weight had a later inflection point and lower growth rate coefficients. These results provide tools for improved breeding practices and a structure to evaluate the effects of dietary or environmental factors on growth trajectories.

Microstructure evolution during directional solidification of off-eutectic Al-Cu-Mg alloys

Building on previous studies of invariant ternary eutectic Al-Al2Cu-Al2CuMg, this work aims to deepen our understanding of the microstructural possibilities in the Al-rich region of the Al-Cu-Mg phase diagram by considering the solidification behaviour of several off-eutectic compositions. Four Al-Cu-Mg alloys were directionally solidified at a constant growth rate (1.25 μm/s) and thermal gradient (9-14 K/mm) using a Bridgman-type furnace and analysed using a combination of scanning electron microscopy, energy-dispersive X-ray spectroscopy, X-ray diffraction, and differential scanning calorimetry. Qualitative and quantitative analyses showed a preference for faceted Al2Cu dendrites surrounded by a ternary eutectic matrix in the two Mg-poor samples, even though one composition was not in the primary Al2Cu phase region. The two Al-poor samples consisted of large regions of three different intermetallic phases and little eutectic, making these samples very brittle.

Lotka-Volterra diffusion-advection competition system with dynamical resources

Competition systems describing the competition between species for resources have been widely studied in the literature and wealthy results have been developed. Most of them (if not all) have essentially assumed that the resources are spatially varying without temporal dynamics. This is an idealized assumption since the most ecological environments and/or biospecies are dynamically changing. Hence the effect of temporal dynamics of resource ought to be taken into account to predict/interpret the competition outcomes more precisely. This constitutes the main motivation of this work and we consider a Lotka-Volterra reaction-diffusion-advection competition system with a dynamical resource whose dynamics is determined by an evolution equation, where the competing species have biased movement (advection) up the resource gradient. We first establish the global existence of classical solutions via Moser iteration and global stability of spatially homogeneous steady states for the constant resource growth rate by method of Lyapunov functionals. When the resource growth rate is spatially varying, we use numerical simulations to demonstrate the possible competition outcomes and find that the asymptotic dynamics of the competition system with dynamical resources is quite different from the case that resources have no dynamics. Moreover, we numerically observe that the advective strategy and/or the relative strength of advection sensory responses are key factors determining the competition outcomes and the asymptotic profiles of the solution.

Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies

The objective of this study is to evaluate the efficacy of deep learning (DL) techniques in improving the quality of diffusion MRI (dMRI) data in clinical applications. The study aims to determine whether the use of artificial intelligence (AI) methods in medical images may result in the loss of critical clinical information and/or the appearance of false information. To assess this, the focus was on the angular resolution of dMRI and a clinical trial was conducted on migraine, specifically between episodic and chronic migraine patients. The number of gradient directions had an impact on white matter analysis results, with statistically significant differences between groups being drastically reduced when using 21 gradient directions instead of the original 61. Fourteen teams from different institutions were tasked to use DL to enhance three diffusion metrics (FA, AD and MD) calculated from data acquired with 21 gradient directions and a b-value of 1000 s/mm2. The goal was to produce results that were comparable to those calculated from 61 gradient directions. The results were evaluated using both standard image quality metrics and Tract-Based Spatial Statistics (TBSS) to compare episodic and chronic migraine patients. The study results suggest that while most DL techniques improved the ability to detect statistical differences between groups, they also led to an increase in false positive. The results showed that there was a constant growth rate of false positives linearly proportional to the new true positives, which highlights the risk of generalization of AI-based tasks when assessing diverse clinical cohorts and training using data from a single group. The methods also showed divergent performance when replicating the original distribution of the data and some exhibited significant bias. In conclusion, extreme caution should be exercised when using AI methods for harmonization or synthesis in clinical studies when processing heterogeneous data in clinical studies, as important information may be altered, even when global metrics such as structural similarity or peak signal-to-noise ratio appear to suggest otherwise.

The aggregate productivity slowdown: A system approach

I revisit the productivity slowdown debate by estimating the capital-labor elasticity and the bias of technical change for the U.S. economy under four different models of technical change. One with constant growth rates, one with a structural break in the constant growth rates, one in which growth is linear, and one with flexible time-varying growth rates. I find evidence in support of non-constant growth rates of factor-augmenting technical change. Labor-augmenting technical change growth rates are decelerating, while capital-augmenting technical change is non negligible but vanishes quickly.

Age and Growth of Nile Tilapia, Oreochromis niloticus (Linnaeus, 1758), From Koka Reservoir, Ethiopia

The age and growth rate of the fish species must be known since they are essential input variables that compose stock assessment models to assess the stock status and estimate the exploitable potential of the stock. The age and growth of Nile tilapia, Oreochromis niloticus (Linnaeus, 1758), in Koka Reservoir, Ethiopia, were studied based on 981 sagittal otoliths collected monthly from December 2017 to November 2018. Otoliths were grounded and examined under a stereoscopic microscope at 10–40× magnification for macrozones analysis using a reflected light source. The age of the fish was determined based on the number of translucent zones counted in the otoliths of O. niloticus by considering the time of translucent zone formation and median hatch date. Seasonal records on the macrozones at the edge of otoliths and relative marginal increments suggested that two translucent macrozones associated with biannuli were formed each year, one from January to February, and another one from June to July. The observed ages of O. niloticus from Koka Reservoir ranged from 1 to 6.5 years, and the most dominant classes were 2 and 3 years. Growth was determined using the von Bertalanffy growth function. The von Bertalanffy growth parameters (sexes combined) were; asymptotic length (total length), L∞ = 35.6 cm, growth rate constant, K = 0.37 year-1, theoretical age at zero-length, t0 = -0.42 years and the growth performance length, φ’ = 2.67. It could be concluded that the growth of O. niloticus in Koka Reservoir is within the range mentioned in Ethiopian lakes.

Alpha Particle Temperature Anisotropy in Earth’s Magnetosheath

In magnetized plasmas, temperature anisotropy manifests as distinct temperatures (T ⊥j , T ∥j ). Numerous prior studies have demonstrated that as plasma beta (β ∥j ) increases, the range of temperature anisotropy (R j = T ⊥j /T ∥j ) narrows. This limiting effect is conventionally taken as evidence that kinetic microinstabilities are active in the plasma, and has been previously observed for protons in the magnetosheath. This study is the first to use data from the Magnetic Multiscale Mission to investigate these instability-driven limits on alpha particle (ionized helium) anisotropy in Earth’s magnetosheath. The distribution of data over the (β ∥j , R j ) plane was plotted and shows the characteristic narrowing in the range of R j -values as β ∥j increases. The contours of the data distribution align well with the contours of the constant growth rate for the ion cyclotron, mirror, parallel firehose, and oblique firehose instabilities, which were calculated using linear Vlasov theory.

Mathematical models for estimate of the ecological consequences of the impact of the pyrogenic factor on forest ecosystems

There is a need for the development of simple analytical mathematical models of the burning of large forest areas, necessary for the assessment of the ecological consequences of the impact of the pyrogenic factor. Purpose. Develop mathematical models describing the spread of large-scale forest fires aimed at estimate the ecological consequences of the impact of the pyrogenic factor. Methods. Analytical review of research on the problem, theoretical and computational, mathematical modeling. Results. The results of the main parameters analysis of large forest areas combustion are presented. These include the area covered by the fire, the duration of the fire, the burnout time, the specific mass of combustible materials, the energy and power of combustion, the specific calorific value, the intensity of combustion, the movement speed of the combustion front, the influx of combustible materials, etc. Simple analytical mathematical models of large forest areas combustion have been established. These include the following models: a model with a constant growth rate of the fire area, a two-dimensional model, a model with sectorial movement of the combustion front, a model with a linear growth of the length of the combustion front, a model with a quadratic growth of the change rate of the fire area, and a generalized model. A new fire intensity classification has been proposed, containing 1–7 points from extremely low to extreme intensity. The maximum area covered by the fire (10–100 thousand km2), combustion energy (1–10 EJ) and combustion power (0.1–1 PW) have been estimated. Conclusions. Simple analytical mathematical models of the combustion process of large forest surface areas, which are necessary for quantitative assessment of the ecological consequences of fires, have been developed.

A kinetic and structural analysis of the effects of Ca- and Fe ions on struvite crystal growth

Developing an optimal waste treatment strategy for phosphate recovery requires a thorough understanding of the kinetics and mineralization processes of struvite (MgNH4PO4·6H2O) growth. In the present study, struvite was grown in MAP (magnesium, ammonium, and phosphate) solutions with a fixed Ca/Mg ratio (1:1) and ferric dosing. Furthermore, the kinetic rate constant of struvite growth in relation to pH change was determined, and precipitates formed from the solution were examined using XRD (X-ray diffraction) and SEM (scanning electron microscopy) methods. At pH values of 7.5 and 9, calcium and ferric ions appear to have significantly controlled struvite production toward the formation of calcium and iron phosphates. The lowest (1 ppm) and highest (372 ppm) ferric ions dosed throughout the study formed precipitates with a significant struvite content when the pH solution was 9. The presence of Ca2+ and Fe3+ changed the morphology of the rod-like struvite, resulting in irregularly shaped crystals. Managing the smallest ferric ions in wastewater can improve phosphorus recovery for high-quality fertilizer products. The use of ferric-calcium complex as a precipitant may also be advantageous in terms of phosphorus recycling.

Effect of HF, H2SiF6, and Al3+ ions on the crystal growth process and morphology of α-type hemihydrate calcium sulfate in phosphoric acid solution

The reaction of calcium dihydrogen phosphate solution with sulfuric acid in the presence or absence of HF, H2SiF6, and Al3+ ions was used to simulate the crystal growth process of α-type hemihydrate calcium sulfate (α-HH) with 30% P2O5 at a reaction temperature of 95 °C. The changes in Ca2+ ion concentration in the solution were measured at different reaction times. Then, the growth rates and reaction steps of α-HH crystals were fitted using the crystal growth kinetic equation. The growth morphologies of α-HH crystals were characterized using scanning electron microscopy, X-ray diffractometry, X-ray photoelectron spectrometry, and differential scanning calorimetry, and the influence mechanism of HF, H2SiF6, and Al3+ ions on the crystal growth process of α-HH were deeply investigated. Results show that the addition of HF, H2SiF6, and Al3+ ions decreased the growth rate constants of α-HH. Without HF, H2SiF6 and Al3+ ions, the growth rate constants of α-HH was 0.7452 × 10−3 (mol·min−1·m−2). When 0.060 mol·L−1 HF was added, the growth rate constants of α-HH decreased to 0.4954 × 10−3 (mol·min−1·m−2). When 0.015 mol·L−1 Al3+ ions and 0.060 mol·L−1 HF were added, the growth rate constants of α-HH decreased to 0.4548 × 10−3 (mol·min−1·m−2). The inhibition of α-HH growth by HF, H2SiF6, and Al3+ ions can be ranked as follows: HF, H2SiF6, and Al3+ ions > HF and Al3+ ions > H2SiF6 > HF. The reaction steps of α-HH in phosphoric acid solution in the presence or absence of HF, H2SiF6, and Al3+ ions were close to 2, and the growth of α-HH crystals was mainly affected by surface diffusion, adsorption, and helical growth mechanism. HF, H2SiF6, and Al3+ ions inhibited the growth of α-HH crystals along the C-axis, resulting in a decrease in aspect ratio, and the morphology of α-HH crystals is short columnar. These impurity ions decreased the intensity of diffraction peaks and crystallinity of the (200), (310), and (400) crystal planes of the α-HH crystals.

Evaluation of electroactive denitrifiers at different potentials, temperatures and buffers based on microcalorimetry

Electroactive denitrifiers contribute to the nitrate removal in a bioelectrochemical system, but their metabolism and growth parameters remain vague. In this study, microcalorimetry as a suitable method was used to evaluate the metabolism and growth parameters of electroactive denitrifiers at different cathode potentials, temperatures and buffer solutions. The suitable cathode potential and temperature for electroactive denitrifiers were deemed as −100 mV and 30 °C, respectively. The suitable buffer was found to be phosphate buffer solution but can be replaced by bicarbonate buffer solution. When cultivated with bicarbonate buffer solution at −100 mV and 30 °C, electroactive denitrifiers achieved a specific nitrate removal rate of 2.20 ± 0.08 × 10−10 mg NO3−-N·(min·cell)−1 and two growth rate constants (k1 = 0.0051 ± 0.0004 min−1, k2 = 0.0030 ± 0.0004 min−1), with gaseous nitrogen as the end product. The bioelectrochemical denitrification behaved as a two-step process, in which the nitrite reduction to gaseous nitrogen was the rate-limiting step.

On the Effect of Nucleation Undercooling on Phase Transformation Kinetics

We carry out an extensive comparison between Johnson–Mehl–Avrami–Kolmogorov (JMAK) theory of first-order phase transformation kinetics and phase-field (PF) results of a benchmark problem on nucleation. To address the stochasticity of the problem, several hundreds of simulations are performed to establish a comprehensive, statistically significant analysis of the coincidences and discrepancies between PF and JMAK transformation kinetics. We find that PF predictions are in excellent agreement with both classical nucleation theory and JMAK theory, as long as the original assumptions of the latter are appropriately reproduced—in particular, the constant nucleation and growth rates in an infinite domain. When deviating from these assumptions, PF results are at odds with JMAK theory. In particular, we observe that the size of the initial particle radius \(r_0\) relative to the critical nucleation radius \(r^*\) has a significant effect on the rate of transformation. While PF and JMAK agree when \(r_0\) is sufficiently higher than \(r^*\), the duration of initial transient growth stage of a particle, before it reaches a steady growth velocity, increases as \(r_0/r^*\rightarrow 1\). This incubation time has a significant effect on the overall kinetics, e.g., on the Avrami exponent of the multi-particle simulations. In contrast, for the considered conditions and parameters, the effect of interface curvature upon transformation kinetics—in particular negative curvature regions appearing during particle impingement, present in PF but absent in JMAK theory—appears to be minor compared to that of \(r_0/r^*\). We argue that rigorous benchmarking of phase-field models of stochastic processes (e.g., nucleation) needs sufficient statistical data in order to make rigorous comparisons against ground truth theories. In these problems, analysis of probability distributions is clearly preferable to a deterministic approach.

Aggregation mechanism and branched 3D morphologies of pathological human light chain proteins under reducing conditions

Here, we examined the aggregation mechanism and structures of the pathological human multiple myeloma light chain aggregates (hLC) after disrupting stabilizing disulfide bonds by various reducing agents. The aggregation kinetics were measured in the presence of three commonly used disulfide reducers (TCEP, DTT and glutathione), and the resulting aggregates were visualized by the combination of light and confocal/super-resolution STED microscopy. We find that aggregation kinetics can be described by two apparent macroscopic rate constants of the Finke-Watzky model related to the nucleation and the growth process. Surprisingly, the growth rate constants decreased at higher protein concentrations, which we interpret as the involvement of an aggregation active monomer particle that is successively depleted at high concentrations due to shifts in a monomer/dimer equilibrium. Seeding experiments demonstrated the specificity of the aggregates; only certain seeds accelerated the aggregation, while others eventually slowed down the aggregation. Three-dimensional visualization of the overall structures of the final aggregates at submicrometer resolution showed variable, reducer-specific branched morphologies with non-trivial fractal dimensions. Thus, the disruption of the stabilizing disulfide bonds in hLC leads to specific large, branched aggregates formed by the monomer-addition mechanism.

A deep learning-based fatigue crack growth rate measurement method using mobile phones

This paper proposes a fatigue crack growth rate (FCGR) measure method based on deep learning. Crack data sets of different scales are first collected by a camera, and are then used to train the faster region-based convolutional neural network (Faster R-CNN), respectively. A novel global and local dual-scale Faster R-CNN is further constructed and integrated into the mobile phone to predict the crack length during the entire loading cycle. The fatigue crack growth rate constants are finally obtained by integrating fracture mechanics. The proposed method can effectively measure the propagating small cracks during cyclic loading and extend to non-standard specimens.

Direct Patterning of ZnO Deposition By Atomic-Layer Additive Manufacturing Using a Safe and Economical Precursor

AS-ALD has the potential to overcome many of the challenges the semiconductor industry is facing by enabling self-aligned fabrication, instead of lithography’s cost, resit, equipment. Main challenges in AS-ALD are the need for pre-patterned substrates, defects outside of the desired growing area resulting from insufficient selectivity, and limited selection of substrate materials that allow deposition. [1, 2]To overcome these challenges, we chose for the first time the novelty of direct patterning with an AL-3D printer, also called atomic layer additive manufacturing (ALAM). 3D-printing is a flexible and efficient tool for reducing the cost and time spend for designing and manufacturing. AL-3D in principle functions similar to conventional g-ALD and the special design of nozzle led in producing direct patterning. All the commercially available precursors which have been used in g-ALD are compatible with our invented equipment and not only we can produce the same films conveniently but also this device allows us to use new precursors e.g. Zn(DMP)2 opening a new chemistry window. We have already deposited different materials TiO2, Pt, SiO2, Al2O3 successfully using TTIP, (MeCp)PtMe3, APTES, TMA as precursor. The ZnO process is very well behaved in ALD community as a diethylzinc (ZnEt2) precursor’s very high vapor pressure and its very high reactivity to water. Our attempts at reducing the amount of vapor delivered were successful in part but the results were not sufficiently reproducible, therefore we turned to the use of a new zinc precursor instead.In this work we focus on the new precursor Zn(DMP)2 instead of ZnEt2 for ZnO deposition. The Zn(DMP)2 has a very low vapor pressure, the ethyl groups are complemented by dimethylamino substituents that stabilize central zinc ion and thereby render the molecule less reactive to water. Our characterization results shows the deposited ZnO films with our new precursor has same structure and composition as with ZnEt2 with a constant growth rate of 1.0 Å per cycle. the crystals are oriented in a roughly isotropic manner.After testing Zn(DMP)2 in classical ALD we achieved to print homogeneous patterns with well-defined edges and uniform thicknesses among the whole pattern. The rough particulate deposits indicative of uncontrolled CVD-mode deposition obtained with the ZnEt2 + water reaction are completely absent of lines obtained from the Zn(DMP)2 + water reaction. Furthermore, we fabricate a metal oxide transistor MOSFET to demonstrate the practical applications of the device. Clark; K. Tapily; K.-H. Yu; T. Hakamata; S. Consiglio; D. O´Meara; C. Wajda; J. Smith; G. Leusink; Perspective: New Process Technologies Required for Future Device and Scaling. APL Mater. 2018, 6, 05203Fang; J. C. Ho, Area-Selective Atomic Layer Deposition: Conformal Coating, Subnanometer Thickness Control, and Smart Positioning. ACS Nano 2015, 9 (9), 8651-8654.

Interplay of turbulence and proton-microinstability growth in space plasmas

Numerous prior studies have shown that as proton beta increases, a narrower range of proton temperature anisotropy values is observed. This effect has often been ascribed to the actions of kinetic microinstabilities because the distribution of observational data aligns with contours of constant instability growth rates in the beta-anisotropy plane. However, the linear Vlasov theory of instabilities assumes a uniform background in which perturbations grow. The established success of linear-microinstability theories suggests that the conditions in regions of extreme temperature anisotropy may remain uniform for a long enough time so that the instabilities have the chance to grow to sufficient amplitude. Turbulence, on the other hand, is intrinsically nonuniform and nonlinear. Thin current sheets and other coherent structures generated in a turbulent plasma may quickly destroy the uniformity. It is, therefore, not a-priori obvious whether the presence of intermittency and coherent structures favors or disfavors instabilities. To address this question, we examined the statistical distribution of growth rates associated with proton temperature-anisotropy driven microinstabilities and local nonlinear time scales in turbulent plasmas. Linear growth rates are, on average, substantially less than the local nonlinear rates. However, at the regions of extreme values of temperature anisotropy, near the “edges” of the populated part of the proton temperature anisotropy-parallel beta plane, the instability growth rates are comparable or faster than the turbulence time scales. These results provide a possible answer to the question as to why the linear theory appears to work in limiting plasma excursions in anisotropy and plasma beta.

Laboratory Evaluation of Dynamic Characteristics of a New High-Modulus Asphalt Mixture

With the rapid increase in traffic volume and heavy-duty vehicles, rutting has become one of the most serious problems threatening the service quality and life of asphalt pavement. High-modulus asphalt concrete is a promising method to overcome this problem, contributing to the sustainable development of asphalt pavement. In this study, a new composite high-modulus agent (CHMA)-modified asphalt binder and mixture were prepared, and their dynamic mechanical characteristics were investigated by the dynamic shear rheometer, dynamic modulus test, wheel tracking test, frequency sweep test at a constant height (FSCH), and repeated shear test at a constant height (RSCH) to comprehensively evaluate its high-temperature stability. Test results showed that the rheological property of the CHMA-modified asphalt binder was similar to that of low-graded asphalt binder, implying that it had a strong potential in resisting deformation. The dynamic modulus of AC-20(CHMA) was 19,568 MPa at 15 °C and 10 Hz condition, meeting the requirement for the high-modulus asphalt mixture (higher than 14,000 MPa). The dynamic stability of AC-20(CHMA) was 8094 times/mm, lower than that of AC-20(20#), but remarkably higher than that of AC-20(SBS). AC-20(20#) and AC-20(CHMA) both showed strong shear resistance according to the FSCH test results. Under the repeated shear loadings, the growth rate of the shear strain increased rapidly in the primary stage, and then slowed down gradually, finally reaching a constant growth rate. The shear slope of AC-20(CHMA) was between that of AC-20(20#) and AC-20(SBS), demonstrating that its resistance to repeated shear loadings was superior to AC-20(SBS), although slightly weaker than AC-20(20#). The findings in this study provide references for alleviating rutting problems and improving the lifespan of asphalt pavement.