Taking Pingshan District of Shenzhen as an example, this study started from the relationship between supply and demand, combined with mobile phone signaling and point of interest (POI) data, and used the Gaussian two-step mobile search method and p-median model to explore the accessibility and spatial optimization strategies of three types of medical facilities: general hospitals, community health centers and community clinics. The results showed that: 1) the overall spatial distribution of medical facilities in Pingshan District is “unbalanced”. The current medical facilities are mainly located in the central and northern areas of Pingshan District, and there are few in the south. 2) There is a mismatch between the accessibility of medical resources and the distribution of demand. General hospitals and community health centers are mostly distributed in the central area of Pingshan District, and the overall accessibility shows the distribution characteristics of Pingshan Street as the center and decreasing to the outer circle. Community clinics are concentrated in densely populated areas and have uneven accessibility. 3) The areas of high urgency are mostly distributed in Shatian, Tianxin, Biling, Longtian, Jiangling and Zhukeng communities, and the shortage of medical facilities in high‑urgency areas is more severe. 4) Based on the p-median model, the optimal location of three types of medical facilities is determined. The number of optimized grids for general hospitals, community health centers, and community clinics is 30, 32, and 66, respectively, with urgent needs reduced by 71.43%, 55.17%, and 97.06%. After optimization, the three types of medical facilities are evenly distributed across the district.

This study focuses on Tongdu Town in Dongchuan District, Kunming City, and constructs a model for agricultural land use change based on human-environment interactions using an agent-based model. By utilizing census data, geographical environmental data, and field survey data, the study simulates the spatially distinct processes of agricultural labor, annual income of farming households, and agricultural land use changes in Tongdu Town from 2010 to 2015. The result shows that changes in agricultural land use are strongly correlated with labor, household income, and slope, but less so with soil fertility. Approximately 63.35% of agricultural land use changes occurred among low-income farming households, particularly the conversion of farmland to grassland — 87.60% of this specific conversion took place in low-income households. The transition from farmland to forest predominantly occurred in areas with relatively higher population densities and steeper slopes. The simulation model demonstrated excellent performance, with a spatial accuracy of 92.23%. The method developed for simulating agricultural land use changes in this study can offer valuable references for other regions, and thus provide scientific support for the implementation of ecological conservation, rural revitalization, and other related projects in China.

The effect of loads on self-sustained oscillators was studied by using numerical simulations and theoretical analysis with simple biological and chemical oscillators. Analyses of dynamical properties of the oscillators revealed that, the scheme in which the oscillators driving the load through indirect coupling via an insulator helped keeping the robustness of dynamical properties of the oscillators. The binding affinity between the load and its upstream module and the total amount of functional insulator were two key parameters that affected the relative amplitude of the load. The introduction of insulator module to the system can break the trade-off between the oscillations of the load and the retroactivity in the direct coupling scheme. Calculations of the free energy dissipation suggested that an increase in the free energy dissipation did not necessarily mean a decrease in the retroactivity or enhanced oscillations in the load.

This paper reviews the current status of observational studies on atmospheric formaldehyde in China, and discusses the atmospheric formaldehyde concentration levels, the relative contributions of primary and secondary sources, and the inventory of formaldehyde emissions from anthropogenic sources. On this basis, the authors point out some limitations of the existing studies and make targeted suggestions for future observational studies on formaldehyde.

From the perspective of 10-minute fitness circle, points of interest (POI), mobile signal data and other data were employed in this research. The accessibility of public sports facilities was measured with network analysis in GIS and Gini coefficient was used to analyze the equity of the supply and demand matching degree of public sports facilities in Shenzhen. The influencing factors of spatial supply and demand of public sports facilities were explored by geographical detectors. The results showed that, first, the overall accessibility of public sports facilities in Shenzhen was relatively high, which basically met the requirements of 10-minute fitness circle. Second, the distribution of public sports facilities was relatively fair. The distribution of facilities in different streets of the same municipal district was highly fair while the equity between municipal districts could be further improved. Third, the relationship between supply and demand in Yantian, Pingshan, Dapeng District was well-matched while sports facilities in the subdistrict at the junction of Futian District and Luohu District were centralized distributed, which set a limitation to the ability of service. Finally, land price was the most important factor affecting the spatial supply-demand relationship of public sports facilities in Shenzhen, followed by the density of road network and the number of bus stops. The total population and the proportion of man-made surface also had a certain impact on the supply and demand relationship.

Based on the support of the new data environment, the spatial adaptability of urban public resources and population distribution in Shenzhen is analyzed from two aspects of adaptability and matching relationship by using various spatial quantization methods, such as kernel density estimation, nearest neighbor analysis, multidistance spatial clustering, cooperative location quotient and two-step mobile search. The results show that the spatial adaptability of public resources and population distribution in different cities has obvious similarity, which is similar in spatial morphology, distribution pattern and proximity effect. Spatial matching relationship between urban public resources and population distribution is different. The non-matching characteristics of urban public resources and population density indicate the “mismatch” and “dislocation” relationship between supply and demand of urban public resources. Aiming at the spatial adaptability of resource elements, the optimization suggestions for three kinds of public resources, such as park green space, school education and health care, are put forward from two scales of city and community.

Based on the survey data of land use change, this paper studies the process and characteristics of urban construction land expansion in Shenzhen from 1996 to 2016 by analyzing the spatial and temporal changes, expansion intensity and landscape pattern of urban construction land, and reveals the spatial differentiation of urban construction land expansion in highly urbanized areas. Regression analysis model is used to explore the driving mechanism of social and economic factors on the expansion of construction land. The results show that the expansion of construction land in Shenzhen presents a continuous growth trend, and the expansion mode of new construction land is significantly different. Futian District and Luohu District are mainly expanded by interior filling, while Nanshan District and Baoan District are mainly expanded by external expansion. The difference between construction land extension intensity in different regions and the index of landscape pattern indicates that the spatial expansion of construction land is gradually changing from disorder, homogeneity, inefficient spread to orderly, heterogeneous and efficient utilization. Social and economic factors have a significant positive correlation with construction land expansion. The regression coefficient of resident population is the largest (0.578), and that of fixed assets investment is the smallest (0.000). Pearson correlation ranking is Resident population > Industrial structure >GDP> Fixed asset investment, indicating that population plays a decisive role in the expansion of construction land, and fixed asset investment is embodied in the function of connection. 

Through the enumeration of the three-node gene regulatory network, the random sampling of the parameter space and the dynamics simulation, the adaptive gene transcriptional regulation networks with thermal robustness (namely temperature compensation) are found. The structural analysis of the thermally robust adaptive networks shows that there are three basic structures that can achieve adaptive dynamics with thermal robustness, and the complex adaptive networks with thermal robustness uses these three networks as the core skeletons. In order to investigate the sensitivity of the adaptability of the three-node adaptive network to the changes of various parameters in the network dynamics, the authors calculate the corresponding control coefficients of each parameter. The clustering analysis of the control coefficients shows that the mechanism of the three-node functional network to achieve thermal robustness is temperature isolation, that is, although all rate parameters in the network are temperature dependent, only the generation and degradation rates of the output nodes deviate significantly from zero and have opposite signs. Most thermal robustness is achieved by the antagonistic balance adjustment of the output nodes.