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The distinctive crystal structure and anisotropic electrical characteristics of rhenium disulfide (ReS2) have garnered growing interest. Pressure and strain engineering has been used to modulate structural and electronic transition. Here, we present a comprehensive study on the high-pressure phase transition and strain tunable electronic properties of ReS2. At 7.5 GPa, there occurs a structural transition from distorted-1T to distorted-1T'. In addition, ReS2 has exactly opposite piezoresistive effects along the two principle axes in the plane. This study shows that pressure and strain may be used to tune the characteristics of ReS2 for future optoelectronic applications.

Spin-valley polarization and bandgap regulation are critical in the developing of quantum devices. Here, by employing the density functional theory, we investigate the effects of stacking form, thickness and magnetic moment in the electronic structures of WSe2-MoS2 heterostructures. Calculations show that spin-valley polarization maintains in all situations. Increasing thickness of 2H-MoS2 not only tunes the bandgap but also changes the degeneracy of the conduction band minimums (CBM) at K/K1 points. Gradual increase of micro magnetic moment tunes bandgap and rises valence band maximums (VBM) at Gamma point. In addition, the regulation of band gap by the thickness of 2H-MoS2 and introduced magnetic moment are depend on the stacking type. Results suggest that WSe2-MoS2 heterostructure supports an ideal platform for valleytronics applications. Our methods also give new ways in optical absorption regulation in spin-valley devices.

Embedded freeform writing addresses the contradiction between the material printability and biocompatibility for conventional extrusion-based bioprinting. However, the existing embedding mediums have limitations concerning the restricted printing temperature window, compatibility with bioinks or crosslinkers, and difficulties on medium removal. This work demonstrates a new embedding medium to meet the above demands, which composes of hydrophobically modified hydroxypropylmethyl cellulose and Pluronic F-127. The adjustable hydrophobic and hydrophilic associations between the components permit tunable thermoresponsive rheological properties, providing a programmable printing window. These associations are hardly compromised by additives without strong hydrophilic groups, which means it is compatible with the majority of bioink choices. We use polyethylene glycol 400, a strong hydrophilic polymer, to facilitate easy medium removal. The proposed medium enables freeform writing of the millimetric complex tubular structures with great shape fidelity and cell viability. Moreover, five bioinks with up to five different crosslinking methods are patterned into arbitrary geometries in one single medium, demonstrating its potential in heterogeneous tissue regeneration. Utilizing the rheological properties of the medium, an enhanced adhesion writing method is developed to optimize the structure’s strand-to-strand adhesion. In summary, this versatile embedding medium provides excellent compatibility with multi-crosslinking methods and a tunable printing window, opening new opportunities for heterogeneous tissue regeneration.

Scaffolding is an essential temporary measure in engineering construction, and its safety management is critical in the construction process. In this paper, the overall scaffolding model is simulated and analyzed by SAP2000 finite element software. The difference in force between the scaffolding under static wind load and time-range wind load is obtained so that the wind vibration coefficient of the scaffolding is suggested. The results show that the most influential factor in the stability of the scaffold is the way in which the wall elements are arranged. At the same time, the most favorable arrangement is a two-step, two-span arrangement of the wall elements, a 50° angle of scissor bracing, and a wind protection factor of 0.8 for the safety net. Also, the wind vibration factor βz should be taken as 2.5 instead of 1 in the scaffolding code for close-meshed scaffolding at a height of 50 m.

We compute pair production rate of charged black holes in de Sitter space in four dimensional Einstein-Maxwell theory with 4-derivative corrections. We find that the probability measure of producing a pair of generic dyonically charged black holes is still given by the sum of two entropies, one of which is associated with the black hole outer horizon and the other is associated with the cosmological horizon. Specializing to examples of smooth configurations, we show that the 4-derivative couplings break the symmetry between the production rate of the purely electric black hole and that of the purely magnetic black hole. Although electromagnetic duality is no longer a symmetry, it induces a transformation on the 4-derivative couplings, mapping the physical quantities of a purely electric black hole to those of a purely magnetic black hole and vice versa. We also observe that under the same transformation, unitarity constraints on the 4-derivative couplings remain invariant., 29 pages, 2 figures

Venturi tube flow is prone to cavitation at high flow rate. In this paper, based on the study of the cavitation flow field in Venturi tube, the authors improve the throat structure of Venturi tube with cavity and carry out analysis of numerical simulation Flow field characteristics by Large eddy simulation (LES), analyze the pressure pulsation in Venturi tube to explore the change of pressure and velocity in different positions, study on the change of cavitation volume fraction, explore the changes of cavitation number and cavitation length under different pressure ratios. Through the previous research and analysis, the flow field characteristics of Venturi tube with cavity are understood, which lays the foundation for cavitation application of Venturi tube.

The Young’s modulus of individual ZnS nanobelts with thicknesses ranging from 30 to 110 nm is measured by a mechanical resonance method over a temperature range of 300–650 K. Nanobelts with thicknesses above ∼80 nm exhibit a Young’s modulus very close to their corresponding bulk value of 88 GPa, whilst thinner nanobelts with thicknesses down to 30 nm exhibit a Young’s modulus of ∼70 GPa. Incrementally heating a nanobelt of 110 nm thickness over a temperature range of 300–650 K presents a linearly decreasing Young’s modulus. The nanobelt is thus found to possess a temperature coefficient of Young’s modulus of −125.4 ± 2.8 ppm K−1, which is comparable to their bulk value of −147 ppm K−1. The temperature coefficient of Young’s modulus for nanobelts with thicknesses below 100 nm demonstrates a strong size effect, and is found to dramatically decrease to as low as −201.4 ± 10.2 ppm K−1 for the thickness of 30 nm. A nonlinear temperature dependence of Young’s modulus is experimentally identified for nanobelt with diameters below 100 nm, and the linear-nonlinear transition temperature decreases with the decrease of nanobelt thickness.

Transforming levulinic acid (LA) to γ-valerolactone (GVL) is a significant route for converting biomass into valuable chemicals. The development of an efficient and robust heterogeneous catalyst for this reaction has aroused great interest. In this work, nitrogen-doped graphene (NG) supported nickel (Ni) based heterogeneous catalyst with excellent activities was successfully synthesized. The Ni/NG catalyst shows outstanding performance for hydrogenation of LA to GVL at a relatively low temperature of 140 °C, which is superior to most of reported heterogeneous catalysts. Further investigations indicate Ni nanoparticles are the active sites and the NG also plays an indispensable role. The catalytic performance is highly depended on the crystallinity, particles sizes and electronic structure of Ni in Ni/NG catalyst, which can be optimized by nitrogen doping. This work affords a new route for designing robust and excellent heterogeneous catalysts by doping method to optimize the support.

In order to effectively recover the high-frequency information of images, this paper proposes a deep neural network based on feature compensation to reconstruct super-resolution images. In this method, intensive deep convolutional neural network and residual network are combined, and the high-frequency information of the original image is extracted separately after up sampling and fused with the reconstructed super-resolution image to form high-frequency feature compensation, which can improve the image quality. Through experimental comparison, the effect of the super resolution image reconstructed by the proposed algorithm is improved by about 1dB compared with that reconstructed by the SRCNN algorithm.

The curve steel box girder has the risk of instability in the jacking construction, especially in the case of big waves on the sea surface. It is very important to analyze the stress of the structure during the jacking construction. According to the Midas Civil finite element model, a bridge span is arranged as (49+60+49) m according to various unfavorable loads. The stability of the curved steel box girder bridge during jacking construction is analyzed, and the site construction is controlled according to the calculation results.

Mission for naval vessels, combat task list, a variety of deployment status, and the timing requirements, grasp the combat patrol, the combat ships deployed in the daily management of the training and practice, through the inheritance, development and optimization of ships deployed, strive to establish new ships deployed category, name, connotation and personnel and equipment such as the content, the level of organic integration, synergy and were divided, operational use and commanding password, daily management and responsibility confirmation of denotation, keep both ships deployed the continuity and stability of the specific content and forward-looking, and can realize one has duty, have charge, utmost to mobilize and use of ships and living resources, To meet the needs of warship combat operations, to meet the requirements of facilitating management and training in peacetime and facilitating operations and command in wartime.

Simultaneous bandwidth (BW) enhancement and time-delay signature (TDS) suppression of chaotic lasing over a wide range of parameters by mutually coupled semiconductor lasers (MCSLs) with random optical injection are proposed and numerically investigated. The influences of system parameters on TDS suppression (characterized by autocorrelation function (ACF) and permutation entropy (PE) around characteristic time) and chaos BW are investigated. The results show that, with the increasing bias current, the ranges of parameters (detuning and injection strength) for the larger BW (> 20 GHz) are broadened considerably, while the parameter range for optimized TDS (< 0.1) is not shrunk obviously. Under optimized parameters, the system can simultaneously achieve two chaos outputs with enhanced BW (> 20 GHz) and perfect TDS suppression. In addition, the system can generate two-channel high-speed truly physical random number sequences at 200 Gbits/s for each channel.

In view of the contradiction that limited motion data can not meet the requirements of rich and changeable motion, motion reuse technology emerges as the times require, which can drive different human skeleton models with the same motion data to generate corresponding motion. However, when the motion data is used to drive the human models with different heights and bone proportions, motion deformation often occurs. In order to solve this problem, the concept of human lower limb vector is proposed in this paper. By analyzing human motion, it is pointed out that the lower limb vector can maintain the main characteristics of motion, and then a human motion redirection method based on the invariance of lower limb vector feature is proposed. This method can redirect the motion data from the original bone model to the target bone model with different bone length ratio, while maintaining the main characteristics of the original motion. The experimental results show that this method has good motion redirection effect and fast computational efficiency.

The rat head is selected as the object for the application of PLA 3D printed model in investment casting of alloyZL104. In order to optimize the process of casting, CAE analysis software AnyCasting is performed for the design of gating system. The top gating system shows the excellent casting results with little shrinkage defects. The solutions from simulation are conformed in the reality experience, which demonstrates that AnyCasting can provide accurate predictions of casting results, as well as reliability reference for the design of the process. Meanwhile, using the 3D printed rat head model for investment casting is practicable.

Aiming at targets in joint fire fighting importance measure accuracy and timeliness of the problem, analyzing the characteristics of joint fire operations and the demand of the important target sequence optimization, based on grey target decision is established on the basis of the sequential hierarchical ordering model, is used to solve the problem of timing target importance. Based on the classification of the combat target system, this model reasonably sets the time series target index weight, and combines the main characteristics of each stage of the joint fire attack, proposes the model algorithm of the classification of the target system. Simulation verification was carried out according to the 6 types of targets of joint fire strike. Simulation results show that the scheduling optimization model based on grey target decision can meet the requirements of real-time operations.

In order to shorten the response time of surface ships to air combat, improve the efficiency of surface ships’ combat command, and optimize the air combat deployment, a time window index was introduced to model and analyze the time performance of surface ships to air combat deployment. This model used the optimization techniques of fuzzy mathematics and dynamic programming to find the critical path of air combat deployment design. Considering the time urgency of the incoming target, the operational efficiency of the two air combat deployment design modes is compared and verified by taking the priority fire resistance and our minimum resources as the objective function. The simulation results show that the air-to-air combat deployment optimization technology based on time window can effectively simplify the air-to-air combat process and improve the command efficiency.

Transverse momentum spectra of inclusive J/ψ mesons produced in particle–particle, particle–nucleus and nucleus–nucleus collisions over a center-of-mass energy range from 17.4 GeV to 13 TeV are analyzed by a multi-component Schwinger mechanism. The model results are found to fit the experimental data measured by the ALICE, CDF, D0, HERA-B, E789, NA50, E705, LHCb and PHENIX Collaborations. We extract the distribution of minimum distance between the partons which form the charmonium c c ¯ . Moreover, the energy and rapidity dependent free parameters in Schwinger mechanism are obtained. The parameter related to string tension is found to increase with the increase of energy and to decrease with the increase of rapidity and centrality.

A technique of automatic segmentation for motion data has been proposed, which describes high-dimensional motion with low-dimensional motion character and automatically segments the motion capture data by detecting changes of motion character. Gaussian Process Latent Variable Models has been used to reduce dimension for motion data. In this model, the motion data has been mapped from observation space to latent space. The character function of motion has been constructed in the latent space, and it has excellence including sensitive to all joints, simple construction, and so on. The motion data segmentation points can be detected to complete motion segmentation after analyzing character function by geometry character. The technique in this paper has well adaptation and high correct rate as shown in experiments.

The composite insulator is affected by many aging factors during its operation. Thermal aging is the most common aging effect on the high temperature vulcanized (HTV) silicone rubber sheds of composite insulators. In order to study the thermal aging characteristics of HTV silicone rubber sheds of composite insulators, the artificial thermal aging test of HTV silicone rubber sheds samples was carried out, and then the aged samples were analyzed by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TG), and HTV silicone rubber was studied. The results show that the pyrolysis process of HTV silicone rubber can be divided into two stages: dehydration and decomposition of Al(OH)3 flame retardant in the first stage and polydimethylsiloxane (PDMS) molecule in the second stage. With the increase of thermal aging time, the crack width and number on the surface of the sample increase gradually, and the infrared absorption peaks of Si-C side chain, Si-O-Si main chain and O-H group decrease gradually, which indicates that thermal aging can greatly accelerate the aging process of HTV silicone rubber of composite insulators.

Aiming at the problem of virtual human motion reuse, the concept of motion extension is proposed, which includes lengthways extension and transverse extension. The lengthways extension extends motion along the time, and generates more frames from existing motion. The transverse extension extends motion to other characters, and multiple characters motion is generated by single character motion. Each motion in the group is similar and different from each other. Motion extension provides unified solution to important issues such as motion prediction, motion repair, and group motion. We construct the Bayesian network of the virtual human motion, which studies and reduces the dimension of the virtual human motion, and propose a method of motion extension based on Bayesian network. Experiments show that our method can generate more realistic virtual human motion based on existing motion, and provide support for the application of virtual human in the fields of bio-engineering, medicine and military.

In this study, fluorescence excitation-emission matrix (EEM) combined with parallel factor analysis (PARAFAC) was employed to trace the behaviour of dissolved organic matter during vermicomposting of excess sludge under four dosages (0, 400, 800, 1600 mg/kg-TSS) of copper oxide nanoparticles (CuO NPs) stress. Determination of dissolved organic carbon (DOC) and total content of organic carbon (TOC), available nitrogen and available phosphorous indicated the presence of CuO NPs decrease the sludge stabilization by vermicomposting, but the organics degradation efficiency was not significantly inhibited with the increase of CuO NPs concentration. Fluorescence spectra results of dissolved organic matter (DOM) during the four groups of vermicomposting indicated CuO NPs led to the reduce of humic acid-like materials in vermicomposting. The positive relationship of protein-like component 1 and negative relationship of humic-like component 2 with CuO NPs concentrations in the substrates reflected by PARAFAC analysis suggested CuO NPs inhibit transformation of humic-like maters during the vermicomposting.

Developing low cost and highly robust electrocatalysts for oxygen evolution reaction, hydrogen evolution reaction (HER), and oxygen reduction reaction (ORR) is of great importance for the efficient conversion of sustainable energy sources. Herein, we report a facile pyrolysis strategy for the controllable synthesis of NiCo@NiS/S-CNTs with NiCo@NiS nanoparticles anchored on sulfur-doped carbon nanotubes (CNTs). The obtained NiCo@NiS/S-CNT electrocatalyst exhibits excellent dual-functional catalytic activities under an alkaline condition, an ORR performance with an onset potential of -30 mV, and a half-wave potential of -150 mV (versus Ag/AgCl) while the overpotential for the HER is -1.16 V (versus Ag/AgCl) at a current density of 10 mA cm-2. It was found that the incorporation of sulfur can regulate the electronic structure of CNTs to accelerate the electron transfer performance and generate new catalytic sites, thus contributing to greatly enhancing both the activity and stability of the catalytic process. This work provides a promising way for the rational design of efficient and robust catalysts for sustainable energy conversion.

Impellers are widely selected as the research object for its characters of curved surface and high-demanded surface quality. The investment casting of alloy ZL104 impeller with PLA 3D printed pattern is performed. In order to optimizing the process of impeller, CAE analysis software AnyCasting is carried on for the design of gating system. The cross-sharp side gating system is selected as the outstanding one for none defects and uniform filling process. Moreover, the gating system with four uniform distributing risers is established as the prime solution. All the conclusions is checked in the reality experiments that investment casting based on 3D printing, with association of CAE simulation can promote the production efficiency.

A distributed Brillouin optical time-domain analysis (BOTDA) sensor enhanced by forward stimulated Brillouin scattering (FSBS) based distributed Brillouin amplification (DBA) was proposed and presented. Due to co-propagating of pump and Stokes lights, the Stokes pulse is effectively amplified in front segment of fiber, resulting in flatter gain distribution. As a proof-of-concept, FSBS-DBA based BOTDA sensing with distance of ~74.2 km, Brillouin frequency shift standard deviation of less than ~2 MHz and spatial resolution of ~10 m was demonstrated. This method is compatible and complementary with backward SBS-based DBA, and features better pumping efficiency than Raman amplification.

We propose a compact scheme for high-density and high-energy positron generation. In the scheme, the generation, compression and acceleration of positrons are encompassed in a plasma channel irradiated by an ultra intense laser. In about 20 μm, positrons are accelerated with their energy beyond 20 GeV, and are compressed with a maximal density of 4.1n c . The obtained positron beam with a wave-like density profile is accelerated via the direct laser acceleration.

This paper is based on the tunnels construction in small net distance in Jinan Rail Transit Line R3. The deformation of early mining tunnel when double-line shield tunneling under different net distance conditions is simulated. The results show that the late shield tunneling will cause the clearance convergence, vault settlement and inverted arch uplift of the early mining tunnel to further deformation. When the distance is 0.8 times of the tunnel diameter, reinforcement measures are needed.

The microscopic effective charges in mirror nuclei 51Mn and 51Fe are investigated with the particle-vibration coupling model based on the self-consistent Skyrme-Hartree-Fock and continuum random-phase-approximation approaches. The isovector parts are predicted to be around 0.15, and the proton effective charges are around 1.25 e, which is less than the empirical value of eeffp = 1.5 e. The microscopic effective charges in neutron rich 51Mn are about 10% less than its proton rich mirror. These effective charges are combined with the shell model to calculate the reduced electric quadrupole transition probability B(E2) values in 51Mn and 51Fe. It turns out that the microscopic effective charges have well reproduced the B(E2) values and its ratio in the terminating states.

The parton rescattering effect on the charged hadron forward-backward multiplicity correlation in pp collisions at √s = 200 GeV is studied by a parton and hadron cascade model, PACIAE, based on the PYTHIA model. The calculated multiplicity and pseudorapidity distribution of the final state charged hadrons are well compared with the experimental data. It is found that the final state charged hadron pseudorapidity distribution is different from the initial state charged partons. The parton rescattering effect on the charged hadron forward-backward multiplicity correlation increases with the increasing parton rescattering strength in the center pseudorapidity region (|η| 1).

The spectrum of the doubly heavy baryons (DHBs) is estimated with respect to the new observation from the LHCb collaboration (Aaij et al (LHCb Collaboration) 2017 Phys. Rev. Lett. 119 112001) by using the chiral partner structure and heavy quark spin-flavor symmetry. The effects of heavy quark flavor symmetry breaking and light quark flavor symmetry are considered. The mass splitting of DHBs with the same spin but opposite parity arises from the generalized Goldberger–Treiman relation. The intermultiplet one-pion transition and intramultiplet radiative transitions are also be estimated., ファイル公開：2019-07-01

We present a joint theoretical/experimental study of a van der Waals heterobilayer with type-I band alignment formed by monolayers of WSe2 and MoTe2. Our first-principles computation suggests that both the valence band maximum and the conduction band minimum of the WSe2/MoTe2 heterobilayer reside in the MoTe2 layer. The type-I band alignment allows efficient transfer of excitons from WSe2 to MoTe2. Since monolayer MoTe2 is a direct semiconductor with a bandgap in the infrared range, this heterobilayer is attractive for infrared light emission applications. Time-resolved measurements of photocarrier dynamics were conducted to provide experimental evidence of the type-I nature of this heterobilayer. In these measurements, we found that excitation energy can transfer from WSe2 to MoTe2 efficiently, but not along the opposite direction. The efficient energy transfer can serve as an optical gain or wavelength conversion mechanism for efficient emission from MoTe2, which can be utilized in ultrathin and efficient infrared light sources.

Hierarchical porosity, which includes micropores and macropores in scaffolds, contributes to important multiple biological functions for tissue regeneration. This paper introduces a two-step method of combining three-dimensional printing (3DP) and microwave sintering to fabricate two-level hierarchical porous scaffolds. The results showed that 3D printing made the macroporous structure well-controlled and microwave sintering generated micropores on the macropore surface. The resulting hierarchical macro/microporous hydroxyapatite scaffold induced bone formation following intramuscular implantation. Moreover, when comparing the hierarchical macro/microporous hydroxyapatite scaffold to the non-osteoinductive hydroxyapatite scaffolds (either 3D printed or H2O2 foamed) subjected to muffle sintering which do not have micropores, the critical role of micropores in material-driven bone formation was shown. The findings presented herein could be useful for the further optimization of bone grafting materials for bone regeneration.

Excited states of 123I were populated via the 116Cd(14N, α3n) reaction at 65 MeV. The resultant γ-rays were detected using standard γ-ray spectroscopic techniques with the NORDBALL detector array. Two previously known positive-parity ΔI = 2 sequences have been extended up to 31/2+ and 41/2+. In addition, a number of ΔI = 1 transitions linking the two ΔI = 2 sequences have been observed. It is suggested that both ΔI = 2 sequences are based on a common configuration. This ΔI = 1 band is proposed to be built predominantly on the g7/2[404]7/2+ oblate configuration, based on the energy-level spectra, B(M1)/B(E2) ratios and the theoretical predictions from the particle-rotor model. The previously identified ΔI = 1 rotational band built on the prolate g9/2[404]9/2+ orbital has also been extended to higher spins. Another previously identified but weakly populated ΔI = 1 band is confirmed and is proposed to be built on the d5/2[413]5/2+ configuration with the ground state of 123I as the bandhead.

The isoscaling behavior is investigated in the frame of Isospin dependent Quantum Molecular Dynamics (IQMD) models. The isotopic yields ratio $Y_2$/$Y_1$ for reactions $^{48}Ca$+$^{48}Ca$ and $^{40}Ca+^{40}Ca$ at different entrance channels are simulated and presented, the relationship between the isoscaling parameter and the entrance channel is analyzed, the results show that $\alpha$ and $\beta$ reduce with the rise of incident energies and increase with the impact parameter b, which can be attributed to the temperature varying of the pre-fragments in different entrance channels. The relation of $\alpha$ and symmetry-term coefficient $C_{sym}$ reveals that the chemical potential difference $\triangle\mu$ is sensitive to the symmetry-term coefficient $C_{sym}$., Comment: 4 pages, 4 figures; revised version to Chinese Physics Letters

We apply a statistical-evaporation model (HIVAP) to calculate the cross sections of superheavy elements, mainly about actinide targets and compare with some available experimental data. A reaction channel $^{30}$Si + $^{243}$Am is proposed for the synthesis of the element Z = 109 and the cross section is estimated., 4 pages, 2 figures, 2 tables; two typos are corrected in Ref. [12] and [19]

High volume concentrated magneto-rheological (MR) fluids () is applied in many industrial fields. In the presented paper, a distance weighted chain-based model for predicting field-induced rheological behavior of high volume concentrated MR fluids is proposed. Simulated by Monte Carlo program, two important parameters: distance coefficient and adjustment coefficient β are introduced to quantify the contribution of micro structure in MR suspension, which considered as the most significant difference between new model and the alternative: standard isolated chain model. For testifying the validity of distance weighted model, four sets of, including three synthetic hydrocarbon oil-based () and a water-based self-prepared () samples' rheological experimental and reported shear stress data are employed or prepared. The comparison of experimental data and theoretical values calculated by two models shows that in general, gain insight of neighboring chain interaction in model of rheological behavior seems indispensable. Implication of this model include that coefficient and β are the potential option for obtaining correct estimation of in highly volume concentrated magnetorheological fluids.

The level scheme with spin up to I = 26 in the yrast band in is reported and low-spin signature inversion with the inversion point at is observed in this band. In the chain of Lu doubly-odd isotopes, with increasing neutron number, the low-spin staggering magnitude of signature dependence decreases and, at the same time, the inversion point shifts to lower spin.

Using a multi-phase transport model (AMPT) that includes both initial partonic and hadronic interactions, we study neighboring bin multiplicity correlations as a function of pseudorapidity in Au+Au collisions at $\sqrt{s_{NN}} = 7.7-62.4$ GeV. It is observed that for $\sqrt{s_{NN}} < $19.6GeV Au+Au collisions, the short-range correlations of final particles have a trough at central pseudorapidity, while for $\sqrt{s_{NN}} > $19.6GeV AuAu collisions, the short-range correlations of final particles have a peak at central pseudorapidity. Our findings indicate that the pseudorapidity dependence of short-range correlations should contain some new physical information, and are not a simple result of the pseudorapidity distribution of final particles. The AMPT results with and without hadronic scattering are compared. It is found that hadron scattering can only increase the short-range correlations to some level, but is not responsible for the different correlation shapes for different energies. Further study shows that the different pseudorapidity dependence of short-range correlations are mainly due to partonic evolution and the following hadronization scheme., 5 pages, 3 figures, submitted to CPC