Journal of University of Chinese Academy of Sciences-Forthcoming Articles Forthcoming Articles http://journal.ucas.ac.cn EN-US http://journal.ucas.ac.cn/EN/2095-6134/current.shtml http://journal.ucas.ac.cn 2095-6134 <![CDATA[An efficient and lightweight method for web-based real-time 3D rendering based on feature preservation]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2024.002 <![CDATA[Multitemporal polarimetric SAR crop classification method based on tensor representation]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2024.003 <![CDATA[Spatial distribution characteristics and tourism development potential evaluation of traditional villages in Shandong Province]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2024.001 <![CDATA[Some analytic results and applications in extremal Hermitian metrics<sup>*</sup>]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.091 <![CDATA[Assessment and pathway simulation of coordinated development of economy-resource-environment system in typical cities of the Yellow River Delta: the case of Binzhou City]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.092 <![CDATA[Multi-scale semantic prior features guided street-view image inpainting algorithm]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.089 <![CDATA[Multispectral remote sensing image pan-sharpening method based on multi-residual network]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.086 <![CDATA[Process chain from ecosystem services to decision making — an analysis based on 671 Chinese literatures]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.087 <![CDATA[A comparison study on the classification accuracy of 11 common water indices based on Landsat 8 OLI images]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.088 2 in 2014 to 62 km2 in 2020, an increase of 20 km2. In view of the canal seepage control treatment at the bottom of most newly added water bodies, with poor groundwater recharge function, and more ineffective evaporation, it is recommended to properly control the scale of water bodies in order to effectively reduce the waste of water transferred from outside.]]> <![CDATA[Adsorption of diclofenac sodium from wastewater by MIL-53(Fe) composite materials]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.085 <![CDATA[Carbon intensity analysis of Chinese cities based on feature optimization Bayesian classification algorithm]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.090 <![CDATA[A study on the cultivation and utilization of Chinese jujube in Turpan during the Jin to Tang dynasties based on unearthed plant remains and documents]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.084 Ziziphus jujuba Mill.) remains unearthed from the Astana Cemetery. Combined with relevant documents, the cultivation and utilization of Chinese jujube during the Jin to Tang dynasties were discussed. It showed that Chinese jujube was a common and important characteristic cash crop in ancient Turpan. The indigenous people used Chinese jujube in various ways, including eaten in fresh and further processing it into dried jujube, jujube cake or dry powder of jujube. In addition, the medicinal value of Chinese jujube and the excellent characteristics of jujube wood were also recognized and utilized by ancient Turpan people.]]> <![CDATA[Characterization of lake area and number change in western Mongolia from 1992 to 2021]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.083 2 from 1992 to 2021 were extracted based on Google Earth Engine (GEE). Spatio-temporal changes of lake area were characterized, and causes were analyzed combining meteorological data and socioeconomic data. The results showed that: (1) The change of lake area could be divided into two phases, i.e., the expansion phase from 1992 to 1996 and the shrinking phase after 1996. (2) There are obvious spatial variations in lake area change. In Khovd Province and Bayan-Ulgii Province lake area shows a trend of decreasing first and then increasing, whereas the trend is opposite in Uvs Province and Zavkhan Province. (3) The causes are obvious different temporally and spatially. The increase of summer mean temperature and potential evapotranspiration had a negative impact on the decrease of lake area in Khovd Province and Gobi-Altai Province during 1992-2001. However, human activities, including agricultural irrigation and overgrazing, were the dominant negative drivers for the shrinkage of lakes in Uvs Province and Zavkhan Province from 1996 to 2019.]]> <![CDATA[UAV-assisted communication online control strategy based on MPC]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.082 <![CDATA[Image dense matching algorithm combining superpixel segmentation and guided filtering]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.081 Secondly, the label map after superpixel segmentation is used to constrain the adaptive changes of the guided filtering window shape, and the cost is aggregated. Finally, the aggregation cost is used as the data item to construct the global energy function, and the disparity map is solved by graph cut algorithm, and multi-step disparity optimization is performed on the disparity map. Experimental results show that the average mismatching rate of the proposed method is 4.84% on the standard test image set provided by Middlebury website, which is significantly better than the traditional guided filtering dense matching method and semi-global matching method.]]> <![CDATA[Remote sensing semantic segmentation method based on high-resolution relational graph convolutional network]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.079 <![CDATA[Research review of public participation, environmental regulation, and residents’ well-being--Visualization analysis based on CiteSpace]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.080 <![CDATA[An empirical study on the relationship between Regional Innovation Capacity and Economic Development Level in China]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.078 <![CDATA[Point cloud compress based on multi-scale feature and attention mechanism of deep learning]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.077 <![CDATA[Cooperative traffic signal control method for multi-intersection: an approach based on spatiotemporal dependence multi-agent reinforcement learning]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.076 <![CDATA[The impact and mechanism of relocation of urban administrative center on spatial expansion --taking Qingdao as an example]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.075 <![CDATA[Correlation analysis between light distribution area of SDGSAT-1 low-light images and impervious area at township scale]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.074 <![CDATA[The scientific connotation, time value and practical path of "Two Mountains" concept from the perspective of modern earth relation]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.073 <![CDATA[P2P-Loc: Point to point tiny person location]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.072 <![CDATA[Research on solutions of cross-entropy loss with spectral decoupling regularization]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.071 l2 norm of the model output to the cross-entropy loss as a regularizer, termed as spectral decoupling, can alleviate this phenomenon. In this paper, the influence of spectral decoupling with different strengths on the model is studied, using the over-parameterized models. In the absence of weight decay, we show that the models obtained by spectral decoupling of different strengths are equivalent. When there is a small weight decay, we use the second-order Taylor expansion of the objective function to obtain an approximate solution. Analyzing the approximate solution, it is found that reducing the spectral decoupling has the effect of enhancing the weight decay, and it is directly equivalent in the binary classification problem. Finally, we verify our analytical conclusions through experiments.]]> <![CDATA[Core-mantle coupled numerical modeling of Mercury's thermal evolution]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.062 <![CDATA[Ultrasound guided portable vessel puncture robot]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.061 <![CDATA[Molecular dynamics study of the interaction between Ar atom and graphite]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.064 <![CDATA[Numerical simulation study of the Marangoni flow on droplet impingement on a superheated pool<sup>*</sup>]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.063 <![CDATA[Non-contact sleep apnea detection and classification using thermal imaging]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.066 <![CDATA[Multimodal medical image registration based on multi-layer feature fusion]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.070 <![CDATA[Classification of S- and I-type detrital zircon by machine learning and its application to supercontinental evolution]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.065 <![CDATA[News information mining and price prediction of individual stock based on DTW-SACP-LSTM model]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.069 <![CDATA[Experimental study of the breakup characteristics of liquid metal free jet exposed to a longitudinal magnetic field]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.067 We number. The surface wavelength of the jet approached the critical wavelength under the action of surface tension, and the volume diameter of the jet breakup droplets showed a bimodal structure. A flow-aligned magnetic field applied, the droplets formed after jet breakup were subject to vibration attenuation under the action of the flow-aligned magnetic field and exhibited equally sized spherical droplets downstream of the breakup position. The surface wavelength decreased with increasing magnetic field, while the breakup length increased. Three types of influences of the flow-aligned magnetic field on the breakup length of the jet were summarized.]]> <![CDATA[Primary results for medium-term prediction of earthquakes in Southern California using LSTM neural network]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.068 M7.2 earthquake in April 2010. The R-value of some models is significantly higher than China's current medium-term prediction level. However, the value of the evaluation model is still not ideal, and further exploration is needed.]]> <![CDATA[A Scanning strategy optimizing method for spaceborne squint sliding spotlight SAR based on particle swarm optimization]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.056 <![CDATA[Krull dimension and primary decomposition of $Rep(F[{{C}_{{{2}^{\alpha }}}}])$]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.057 <![CDATA[Direct experimental investigation of commutation relation]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.052 <![CDATA[Design and experimental research of micro-newton thruster]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.058 1/2 at 0.05~1Hz. When the flow rate of propellant Xe is 0.5 sccm and the voltage is 500 V, the thrust output reaches 50 μN and the specific impulse reaches 104 s. By optimizing the magnetic field design, the performance of this type of micro-newton cusp hall thruster can be further improved, which can meet the requirements of space exploration missions.]]> <![CDATA[Research on beam hopping scheduling strategy of LEO communication satellite based on improved genetic algorithm]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.054 <![CDATA[Remote sensing extraction method of agricultural greenhouse based on an improved U-Net model]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.060 <![CDATA[Comparative study on medical accessibility of affordable housing and commercial housing in Xiamen from the perspective of equity]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.059 <![CDATA[A stochastic augmented Lagrangian method for stochastic nonconvex nonsmooth programs with many convex constraint]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.055 ϵ-KKT point after O(ϵ-8) iterations. The numerical experiments on the multi-class Neyman-Pearson classification problem(mNPC) demonstrate the of efficiency CSALM.]]> <![CDATA[Investigation of pinned Evaporation droplets under different wind velocity]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.053 k', which characterizes the ratio of wind force and adhesion force. The effect of shear flow on mass transfer at the gas-liquid interface was investigated, and the relationship between the dimensionless Reynolds number and the Sherwood numbers was determined. It was determined that the theoretical relationship between wind speed and evaporation rate is consistent with experimental data.]]> <![CDATA[Characteristics of high technology manufacturing industry migration based on micro enterprise data:a case study of Beijing metropolitan area]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.047 <![CDATA[Study on aerodynamic characteristics of deforming bat-like wing in forward flight]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.051 <![CDATA[A method to extract forest cover information by fusing Transformer and UNet]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.049 F1 score, intersection-over-union, and frequency-weighted intersection-over-union indices, which were 91.22%, 92.66%, 91.94%, 85.08%, and 81.65%, respectively. The model also performed well in generalization experiments. The experimental results show that the DiUNet method outperforms existing methods in forest cover information extraction and has high robustness and generalization capabilities.]]> <![CDATA[A framework of graph classification with self-supervised heterogeneous graph neural network]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.048 <![CDATA[Multi-scale featured convolution neural network-based soybean phenotypic prediction]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.046 <![CDATA[Remote sensing inversion study of CO<sub>2</sub> emissions from Super-large coal-fired power plants in China based on OCO-2/3 satellite]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.050 2 emissions in the Chinese region. Due to the low timeliness of statistical data and inaccurate emission factors, the existing emission inventories gradually fail to reflect the CO2 emissions of power plants. This study provides a method to estimate CO2 emissions from power plants based on Orbiting Carbon Observatory 2/3 (OCO-2/3) satellite data and Gaussian plume model, retrieving the images of super-large coal-fired power plants (≥5000 MW) in the Chinese region from the OCO-2 (2014.09.06-2021.10.01) and OCO-3 (2019.08.06-2021.10.01) dataset, and identifying a total of seven plumes near Tuoketuo, Waigaoqiao, and Jiaxing power plants. Using a combination of three atmospheric background value determination methods, the CO2 emissions estimated by the Gaussian plume model range from 43~77 (kt/d), with correlation coefficients ranging from 0.50 to 0.87. The uncertainties of individual plumes vary from 8% to 32% (1σ), with wind speed being the largest uncertainty (6~31%), followed by background values (5~18%), enhanced values (1~21%), and plume rise (1~8%). The estimates are verified to be in high agreement with Carbon Monitoring for Action, Carbon Brief, and the Global Power Emissions Database (Tuoketuo: 76.48 ± 15.75, Waigaoqiao: 55.98 ± 6.90, Jiaxing: 64.55 ± 15.89 kt/d). This study helps monitor and estimate important point source carbon emissions, which is not only a prerequisite for the power industry to carry out carbon reduction efforts but also helps develop specific regional carbon reduction policies, which are important for reducing anthropogenic carbon emissions.]]> <![CDATA[Effects of agricultural activities on soil inorganic nitrogen along an altitudinal gradient in the Medog subtropical forest,Southeastern Tibetan Plateau]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.043 4+-N and NO3--N) is a vital indicator of soil N supply. Studying the current status of farmlands’ SIN on the Tibetan Plateau is important to achieve the sustainability of plateau agriculture development. 10 pairs of farmland and forest soils were collected along the sampling gradient from 800 to 2 000 m (a.s.l.) in Medog of southeastern Tibet, to investigate the effects of agricultural activities on SIN and clarify the environmental drivers of SIN. The results have shown that human activities significantly changed the concentration and spatial distribution pattern of SIN in farmlands. The topsoil (0 ~ 10 cm) was vulnerable to human activities. NH4+-N concentration of topsoil decreased significantly and NO3--N concentration increased significantly after reclamation. The SIN of the forests did not differ significantly among layers, but large differences were seen in the farmlands’ SIN among layers. SIN in forest ecosystems was influenced by altitude, soil temperature, soil moisture, and pH, while agricultural ecosystems were not sensitive to environmental factors. The change amount of SIN after reclamation was mainly determined by soil temperature and soil pH. In conclusion, reasonable agricultural management is necessary to achieve sustainable development of regional agriculture.]]> <![CDATA[The research of flow aggregation with constrained resource for in-network computation]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.044 <![CDATA[Continuity of truncated Hardy-Littlewood maximal function<sup>*</sup>]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.045 γ changes, we obtain an equivalent condition of the continuity of the truncated Hardy-Littlewood maximal function.]]> <![CDATA[Digital pre-distortion techniques for multi-beam interactions on LEO satellites]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.042 <![CDATA[Temporal and spatial variation of summer soil moisture and its driving factors in the Yellow River Basin during the last 20 years]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.041 <![CDATA[A new cross-domain recommendation method with cluster effect]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.040 <![CDATA[Basin ecological restoration zoning and land use simulation evaluation based on multisource coupling model:a case study of the Dianchi Lake Basin]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.039 2, 109.99km2, 791.92km2 and 1590.89km2, respectively; (3) Under the natural development scenario in 2030, the construction land in the Dianchi Lake Basin would increase by 189.92km2; under the ecological restoration scenario, the construction land would increase by 53.75km2, and the urban expansion rate would slow down. The ecological restoration scenario had an additional ecosystem service value of 434 million yuan in the Dianchi Lake Basin compared with the natural development scenario.]]> <![CDATA[A novel approach for autofocus in spaceborne SAR based on low-order polynomial orbit model and contrast maximization]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.035 <![CDATA[SAR decompressed image reconstruction algorithm based on generative adversarial network]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.033 <![CDATA[An improved high efficiency low error substrate integrated waveguide wideband delay line]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.034 <![CDATA[Compression-sensing-based algorithm for the azimuth interrupted data reconstruction of spaceborne IFMCW SAR]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.038 <![CDATA[Research of thermoelectric effect on the flow and heat transfer of liquid metal in a conducting pipe under the magnetic field]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.036 Re=745.6) are studied. It is found that the Lorentz force produced by thermoelectric effect and magnetic field forms the reverse flow vortex structure at the four corners of the square tube. The reverse flow vortex increases the velocity in the central region and promotes the convective heat transfer of the liquid metal in the vortex structure at the four corners of the square tube. The reverse flow vortex increases the velocity in the central region and promotes the convective heat transfer of the liquid metal in the central region. With the increase of magnetic field intensity, the flow changes from unsteady flow to steady flow, the flow in the central region is dominated by the magnetic damping effect, the scale of thermoelectric effect gradually shrinks to the vicinity of the boundary, and the relationship between velocity and temperature changes from two-way coupling under weak magnetic field to one-way coupling under strong magnetic field.]]> <![CDATA[Vulnerability exploitability assessment method based on network environment]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.037 <![CDATA[Study on rice plant density inversion using Polarimetric SAR considering planting methods]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.032 2 respectively. Compared with the inversion results without considering planting methods, the accuracy is improved by more than 30%.]]> <![CDATA[Analysis of the shallow subsurface structure of the Utopia Planitia based on Zhurong Rover Penetrating Radar data]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.030 <![CDATA[Remote sensing classification and extraction of alpine wetlands information in summer in Dam Qu Watershed, the source of the Yangtze River]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.031 2, of which the main part is marsh wetlands, with an area of 2908.94km2, accounting for 86.45% of the total area of wetlands. The areas of river wetlands and lake wetlands are similar, which are 269.28km2 and 186.52km2 respectively. In addition to alpine wetlands, there are permanent glaciers and snow in the watershed, with an area of 107.17 km2.The horizontal distribution of wetlands in the watershed is generally characterized by more wetlands in the southeast and less wetlands in the northwest. They are mainly concentrated in the flat beach surrounded by hills or the catchment area with low terrain and poor drainage, as well as the foot of shady slope. In the vertical direction, alpine wetlands are mainly distributed in the range of 4650~5100m above sea level. As the terrain rises, wetland resources gradually decrease. The area higher than 5400m above sea level is mainly covered by glaciers and snow, and there is almost no alpine wetland. This study provides a scientific basis for the effective protection and rational utilization of wetland resources in the source of the Yangtze River.]]> <![CDATA[Research on ultra-reliable low-latency edge computing architecture for 6G]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.029 <![CDATA[Water image extraction algorithm based on improved Gaussian mixture model and Graph Cut model]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.028 <![CDATA[A pose estimation algorithm for spatial non-cooperative targets based on point cloud registration]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.027 <![CDATA[Measurement and influencing factors of open economy in border cities——Taking Hunchun city, China as an example]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.026 <![CDATA[A study on the word “Caochi” in Dunhuang and Turpan document]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.023 Nigella glandulifera and it was used as medicine and condiment by the inhabitant in Dunhuang and Turpan during the period of Tang and Five dynasties.]]> <![CDATA[Spatial and temporal distribution characteristics and influential factors of PM<sub>2.5</sub> pollution in Beijing-Tianjin-Hebei]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.025 2.5 could be harmful to human health and the atmospheric environment. Beijing-Tianjin-Hebei is one of the most serious regions in China in terms of atmospheric PM2.5 pollution. Based on PM2.5 concentrations data, natural factors data, and human activity factors data, this study used kriging interpolation and statistical analysis to explore the spatial and temporal distribution characteristics of atmospheric PM2.5 pollution in 13 cities of Beijing-Tianjin-Hebei in 2017 and then used correlation analysis models and factor analysis models to explore its influential factors. The results showed that in Beijing-Tianjin-Hebei, (1) PM2.5 concentrations were low in the north and high in the south. The gradient of annual average concentrations between the southern and northern cities could reach up to 64 μg/m³. (2) PM2.5 concentrations were high in winter and low in summer, were high in the morning and evening, and low in the afternoon. PM2.5 concentration in winter was 1.3~2.8 times higher than in summer, and the daily differences in PM2.5 concentrations in all seasons were between 11~29 μg/m³. (3) Atmospheric PM2.5 pollution was closely related to natural factors. Terrain and topography affected the processes of PM2.5 aggregation, transport, and dispersion. Wind speed, sunshine hours, and relative humidity were the dominant meteorological factors affecting atmospheric PM2.5 pollution, and PM2.5 concentrations had the strongest correlation with meteorological factors in winter. (4) Atmospheric PM2.5 pollution was closely related to human activities, which could be summarized into social economy factor, industrial pollutant discharge factor, and urban construction factor. The results of this study will help fill the gaps in air pollution prevention and control in Beijing-Tianjin-Hebei.]]> <![CDATA[Experimental study of the MHD effect of phase change heat transfer in metals under the influence of a strong magnetic field]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.021 Fo) during melting. The results show that: at a small Hartmann number (Ha), the melting has a melting-promoting effect at the early stage and is inhibited at the later stage; at a large Hartmann number the magnetic field has an inhibiting effect on the convection during the melting of gallium metal, and the melting process shows a laminar and uniform advance. The magnetic field reduces the height of the dominant zone of thermal conductivity at the bottom of the cavity during the melting process and suppresses temperature fluctuations during the melting process, resulting in a uniform temperature distribution during the melting process.]]> <![CDATA[Design of low temperature measurement experimental device based on superconductor magnetic penetration depth]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.020 Hz in the liquid helium temperature region, and gives the specific experimental device design. This method has high resolution, does not introduce additional heat flow, and does not require continuous current excitation. It can greatly reduce the adverse effects of the traditional temperature measurement caused by thermometer self-heating effect and contact thermal resistance, etc. by plating superconducting film on the surface of the object, which is beneficial to the temperature measurement experiments and applications below 10K.]]> <![CDATA[Multi-satellite cooperative observation method based on area target gridding]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.019 <![CDATA[A fast recursive calculation method of projection coefficients without starting point constraint]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.018 <![CDATA[A lightweight network for fast ship detection in SAR images]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.017 50 and AP are improved by 2.1% and 7.4%, the CPU latency is only 5.33ms, and the speed is more than twice as fast as YOLOX-nano. The proposed method achieves a balance between accuracy and efficiency.]]> <![CDATA[Low-complexity CA-SCL decoding optimization algorithm for low-orbit satellite communication]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.016 <![CDATA[The improved SLM algorithm used in hybrid beamforming architecture]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.015 <![CDATA[Detection method and characterization of Ramp event of wind speed and wind power based on Swinging Door Algorithm]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.014 <![CDATA[SA-YOLO: Self-adaptive loss object detection method under imbalance samples]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.013 50 for all kinds of objects is more than 2%, with excellent specialization; mAP50 in the COCO dataset is upgraded by 1.58%, and all indexes are not lower than the optimal value, with good effectiveness.]]> <![CDATA[Learning Parameters of a Class of Stochastic Lotka-Volterra Systems with Neural Networks<sup>*</sup>]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.012 <![CDATA[Regional differences in the flowering phenology of plants in Beijing based on airborne pollen data]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.011 Populus, Pinus, Ulmus, Rosaceae. The airborne pollen in Shijingshan District belonged to 16 families and genera, with Cupressaceae pollen dominating (41%) but lower than that in Huairou District, followed by Fabaceae, Ulmus and Oleaceae. (2) There are some differences in the first flowering time and flowering duration of spring flowering plants in two areas. The first flowering times in Shijingshan District, which exhibits higher spring temperatures, are earlier than that in Huairou District, except for Populus (2 days later), which is 2-16 days earlier, with an average of about 7 days. (3) Airborne pollen monitoring data indicate that the first flowering time of spring flowering plants also showed a clear trend of advancement with increasing temperatures in different periods in the same area. These results are basically consistent with the previous results based on plant phenology observation, which indicates that the monitoring results of airborne pollen can also reflect the time the state of plant flowering phenology, and can provide a multi-disciplinary supplement and reference for the study of plant flowering phenology.]]> <![CDATA[Building extraction method based on MFF-Deeplabv3+ network for high resolution remote sensing images]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.010 <![CDATA[Industrial MCU oriented transcendental function unit design]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.009 2.]]> <![CDATA[Field Dynamic Small Object Detection Network based on Double Frame Fusion]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.008 <![CDATA[Research on central node selection strategy of spatial robot cluster based on data and compression ratio prediction]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.007 <![CDATA[Molecular dynamics study on irradiation damage of single crystal tungsten]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.087 <![CDATA[On a class of quasilinear equations with -1 powers<sup>*</sup>]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.006 2$, where Ω is a bounded domain in RN with N≥1.]]> <![CDATA[Materialization properties and vapor-liquid phase equilibrium for 5-chloro-2-pentanone with cyclopropyl methyl ketone]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.005 <![CDATA[A calculation method and test analysis research of all fresh air ventilation load based on large-scale nursery piggery]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.004 2, NH3 and PM2.5 are far below the national standard index. The load calculation method and dynamic regulation method can provide reference for the research of thermal and sanitary environment of large-scale nursery piggery.]]> <![CDATA[Study on dynamic friction polishing of single crystal diamond]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.003 Ra) improvement and the mass loss. The results showed that the increase of the mass loss and the reduction of roughness occurred with increasing the polishing load, the polishing time and the polishing plate linear velocity, respectively. Whilst, the X-ray diffraction intensity of (400) crystalline surface of each polished sample was enhanced. Among the three clamping types, the bonded clamping type possessed the fastest removal rates, up to 25.2 nm/h. A polishing evaluation parameter K was defined as K=ΔRa/Δm, i.e., the improvement of surface roughness obtained under the condition of the mass loss per unit. According to variation of the parameter K, the DFP procedure could be divided into two stages, “the roughness improvement domination stage” and “the mass loss domination stage”. The first one had higher K values than the second one. K values increased monotonically with the increase of the polishing plate linear velocity, whilst it was influenced complicatedly by the polishing load and the polishing time.]]> <![CDATA[Stochastic dominance comparisons based on interest discount model]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.086 <![CDATA[Interval estimation for the process capability index under the inverse Rayleigh and log-logistic distributions]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2023.001 Npk under the inverse Rayleigh and log-logistic distributions. The generalized pivotal quantities for CNpk are constructed, and then the generalized confidence intervals are proposed. Numerical results show that the proposed interval estimation has better performance than the bootstrap method in terms of coverage rate and interval width.]]> <![CDATA[A ViSAR-GMTI algorithm based on low-rank sparse decomposition and target trajectory region extraction]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.082 <![CDATA[Research on SAR-Communication integration technology under the framework of unmatched filtering]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.085 <![CDATA[Chirp Scaling algorithm based on fractional Fourier transform and image weighted entropy]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.084 <![CDATA[Research on radiometric correction of multispectral camera based on filter wheel]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.083 <![CDATA[Research on a mixed geographically weighted regression model with varying-coefficient spatial lag]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.081 <![CDATA[A predistortion correction method for quadrature modulation amplitude and phase imbalance of SAR excitation signal]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.079 <![CDATA[The influence and driving force of administrative division adjustment on urban spatial expansion:A case study of withdrawal from city into district in Jiutai, Changchun City]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.080 <![CDATA[Numerical study of the natural convection heat transfer from the neck folds of the frill-neck lizard]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.078 0/d≤6.6. In addition, the field angle and area corresponding to the maximum heat transfer rate were close to the natural state of Australian subspecies. Therefore, it can be inferred that the evolution direction of Chlamydosaurus kingii neck fold may be beneficial to improving the natural convection heat transfer rate. Hence, the natural convection between Chlamydosaurus kingii and external environment may be considered as an important reason affecting the evolution direction of Chlamydosaurus kingii neck fold.]]> <![CDATA[Dynamic evolution of natural convection in a porous square cavity]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.077 2 to 1200, the natural convection evolves across 21 different stages (including one steady convection stage, six single-frequency oscillation stages, nine quasiperiodic oscillation stages, two frequency-locked resonance stages, and three aperiodic chaotic oscillation stages). The spatial variation and temporal oscillation of convection modes are the fundamental reasons for the repeated alternation between different convection patterns. Different characteristics of single-frequency, quasiperiodic, frequency-locked and chaotic oscillations in the calculated heat flow represented by Nusselt number are systematically compared in terms of four graphical methods, viz., time series, power spectrum, phase portrait, and Lorenz mapping. The calculated average heat flow and primary oscillating frequency as functions of Rayleigh number can be fitted by simple analytical formulas (approximately obeying the scaling laws given by the classical boundary layer theory in a wide range of Rayleigh number), providing convenient calculation tools for practical engineering designs and applications under the corresponding conditions.]]> <![CDATA[The Mahler measure of a two-variable polynomial]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.060 Px,y=(x2+1)y2+2(x2+x)y+xx2+1 as a linear sum of some Bloch-Wigner Dilogarithm functions. and prove that the Mahler measure of Px,y is rationally proportional to L'χ-3,-1: mPx,y=52L'χ-3,-1.]]> <![CDATA[Single photon point cloud denoising method based on density and local statistics]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.058 <![CDATA[Experimental study on the effect of gravity on the heat transfer performance of a novel high-power looped heat pipe]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.064 <![CDATA[Research on VDE-SAT downlink channel modeling method]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.062 <![CDATA[The observation and research of vertical wind shear and wind veer with atmospheric stability in the Atmospheric Boundary Layer (ABL)]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.063 -1; (3) Under the neutral atmospheric condition, the wind direction of the upper and lower layers was more consistent, and the wind direction deflected counterclockwise with the increase of height under stable atmospheric condition, and deflected clockwise with the increase of height under the unstable atmospheric condition. The conclusion in this paper modeled the relationship between wind shear and atmospheric stability by the vertical observation of wind field, which is a good reference and valuable for the research and application related to the vertical structure of wind field.]]> <![CDATA[The dynamic mechanism and the river evolution under coupling effects of surficial and tectonic processes: a case study of Qinghai Lake and Daotang River]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.056 <![CDATA[Turbulence properties in interstellar medium around Geminga TeV halo]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.076 <![CDATA[Seamless image completion via GAN inversion]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.075 <![CDATA[Allometric equation and biomass estimation of <em>Eucalyptus</em> in Fujian]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.074 Eucalyptus in Fujian in order to improve the estimation accuracy of Eucalyptus biomass in this area and to provide basic supporting data for the sustainable forestry development of Eucalyptus. This study takes Eucalyptus, a major fast-growing and productive tree species in Southern China, as the research object. Using 90 Eucalyptus woods harvested in the field, the partitioning of Eucalyptus biomass among organs are studied, the optimal allometric equations are constructed, and the Eucalyptus root/shoot ratios are calculated and applied to estimate Eucalyptus root biomass. Results show Eucalyptus has the following biomass allocation strategies: the biomass proportion of trunks increases with increasing stand age, while that of branches, leaves, and roots decreases. The most feasible and effective way to estimate Eucalyptus root biomass is to use root/shoot ratio data with stand age. In the construction of the allometric equation for Eucalyptus biomass, the multiplicative power equation is better than the linear equation, and the optimal independent variable varied by organ type. This paper provides data and theoretical support for the accurate estimation of Eucalyptus plantation biomass, and has implications for species growth patterns, survival strategies, and even forest ecological management.]]> <![CDATA[Sedimentary facies and detrital provenance evolution of the Sinian Sugetebulak Formation from northern margin of Tarim Basin: a case study of Xinghuo1 well in Tabei uplift]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.073 DMC) range from 3474 Ma to 2360 Ma, and Some Paleoproterozoic zircons show positive εHf(t) values, indicating zircons were derived from juvenile mantle-derived material at those periods. However, most Paleoproterozoic zircons show negative εHf(t) values, suggesting the crustal reworking was the dominant process from Archaean to Paleoproterozoic. The Neoproterozoic detrital zircons have negative εHf(t) values and yield Hf model ages (TDMC) range from 4032 Ma to 1485Ma, which suggest that the Neoproterozoic detrital zircons were derived from reworking of the ancient Archaean to middle Proterozoic. Based on the data of this study and previous data, it is considered that the northern margin of Tarim Basin was the collision background during the Sugetebulak period.]]> <![CDATA[Spatiotemporal variation in the maximum leaf area index of temperate grassland in northern China and its response to climate change]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.072 2/m2, the higher in the east and the lower in the west. The meadow steppe had the highest LAI (2.73±1.20 m2/m2) and the steppe desert had the lowest LAI (0.13±0.17 m2/m2). From 1981 to 2017, the average annual maximum LAI showed a significantly increasing trend. The maximum LAI increased significantly for 32.52% of the area and decreased significantly for 6.31% of the area. The areas with a significantly increasing LAI were greater than those with a significantly decreasing LAI for all the grassland types. The annual average maximum LAI was positively correlated with the annual total precipitation from January to August and the annual mean air temperature for July and August. Both the significant decrease and increase of the maximum LAI was mainly affected by the significant increase of annual mean air temperature for July and August. There existed a critical threshold of the rising rate of air temperature for July and August that influenced the variation in LAI; for the grassland types that accounted for the larger areas, this threshold was 0.042~0.043 ℃/a. LAI increased with the rising air temperature as the rising rate of air temperature was lower than this threshold; conversely, LAI decreased These results are expected to provide important scientific basis for grassland utilization, protection and restoration in the context of climate change.]]> <![CDATA[Research on compatible strategy of VDES heterogeneous constellation based on DQN]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.071 <![CDATA[A trajectory planning based on characteristic parameters fitting for the multi-ground targets of the ground tracks of two satellites]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.070 <![CDATA[Calculation method of time-varying meshing stiffness of helical gear pair based on tooth surface friction]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.069 <![CDATA[Interference avoidance strategy for LEO satellite based on transmit beam sidelobe nulling]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.068 <![CDATA[A study of the temperature recovery process after the termination of enhanced geothermal system based on the thermal-hydraulic coupling numerical simulation]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.067 <![CDATA[Device-free multi-target localization method using phase shift based compressive sensing]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.066 <![CDATA[Clustering routing algorithm for WSN baed on BBO optimized K-means]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.065 <![CDATA[Study on shuttling mechanism the bistable rotaxane based on the radical interaction by quantum chemical calculations]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.055 2(●+)) ring and a main chain, concluding the recognition sites 4,4′-bipyridinium radical cationic (BIPY●+ ) and 2,6-dioxynaphthalen(DOP). The density functional theory (DFT) is used to analyze the motion mechanism of ring along the main chain A. Quantum Mechanics calculations are used to analyze the noncovalent interaction between the CBPQT2(●+) ring and the two recognition sites. It proves that the generation and dissociation of the trisradical tricationic complex controlled by the redox reaction could drive the reciprocating motion of the CBPQT2(●+) ring along the main chain between the two recognition sites.]]> <![CDATA[Comparisons among common methods of calculating stellar masses and star formation rates for normal galaxies]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.052 <![CDATA[Numerical simulation for thermal convection of cold water in the Taylor-Couette system with a rotating inner cylinder]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.051 Ra could result in the non-monotonic change of the overall heat transfer rate.]]> <![CDATA[IDDES simulation of flow and mixing characteristics in a confined impinging jet reactor]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.050 <![CDATA[Uncertainty-based credit assignment for cooperative multi-agent reinforcement learning]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.047 <![CDATA[HI distribution in dwarf starburst galaxy NGC 5253]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.040 <![CDATA[Robust individualized subgroup analysis<sup>*</sup>]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.037 <![CDATA[A method of the power performance measurement based on the nacelle mounted Lidar]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.036 <![CDATA[Crystal facet effects during the dissolution of ZnO single crystals in the presence of natural organic matter]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.030 <![CDATA[Solving quadratic assignment problem based on Actor-Critic framework]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.031 <![CDATA[Structure-preserving numerical method for a class of stochastic Poisson systems<sup>*</sup>]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2022.015 <![CDATA[Satellite battery array current prediction method based on DWT and dual-channel LSTM]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2021.0028 <![CDATA[A Ceph write performance optimization method based on double-control nodes]]> http://journal.ucas.ac.cn/EN/10.7523/j.ucas.2020.0051