Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning

In response to the United Nations Sustainable Development Goals and China’s“Dual Carbon”Goals(DCGs means the goals of“Carbon Peak and carbon neutrality”),this paper from the perspective of the construction of China’s Innovation Demonstration Zones for Sustainable Development Agenda(IDZSDAs),combines carbon emission-related metrics to construct a comprehensive assessment system for Urban Sustainable Development Capacity(USDC).After obtaining USDC assessment results through the assessment system,an approach combining Least Absolute Shrinkage and Selection Operator(LASSO)regression and Random Forest(RF)based on machine learning is proposed for identifying influencing factors and characterizing key issues.Combining Coupling Coordination Degree(CCD)analysis,the study further summarizes the systemic patterns and future directions of urban sustainable development.A case study on the IDZSDAs from 2015 to 2022 reveals that:(1)the combined identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban sustainable development process;(2)the correspondence between influencing factors and key subsystems identified by the LASSO-RF combination model is generally consistent with the development situations in various cities;and(3)the machine learning-based combined recognition method is scalable and dynamic.It enables decision-makers to accurately identify influencing factors and characterize key issues based on actual urban development needs.

Design of a sustainable development path in Chenzhou based on a knowledge graph

Sustainable urban development involves many fields with complex data types and rich semantic relationships,such as the economic,societal,and ecological fields.Knowledge graphs provide a new means for sustainable urban development research by leveraging their strengths in the construction of knowledge networks and display of knowledge associations.Focusing on Chenzhou,a resource-based city serving as a China’s Innovation Demonstration Zone for Sustainable Development Agenda,this study adopted a top-down approach,applying the“seven-step”and“skeleton”methods to construct an ontology for sustainable urban development through manual editing.A knowledge graph was constructed for Chenzhou’s sustainable development,comprising 515 nodes,3209 relations,and 28157 attributes.Sustainable measures and pathways were proposed based on this knowledge graph.The results showed that Chenzhou’s future sustainable development should focus on innovation,growth,emissions reduction,centering around high-quality and sustainable development.Promoting the transfer and transformation of scientific and technological achievements,accelerating the optimization and upgrading of industrial structures,and enhancing talent cultivation and recruitment will foster new quality productive forces,providing strong momentum and support for the high-quality and sustainable development of Chenzhou.To accelerate the green economy transition,Chenzhou should improve the market-oriented allocation system for resources and environmental factors,explore the“gross ecosystem product+eco environment-oriented development”project implementation model,encourage enterprises to adopt environmental,social,and governance principles,and foster synergies between supply and demand.Furthermore,coordinating Chenzhou’s low-carbon city pilot projects and constructing carbon sequestration pathways that leverage nature-based solutions will help implement the“dual carbon”actions and enhance the city’s ability to respond to climate change.

Is male condition corrected with song features in Dusky Warblers(Phylloscopus fuscatus)

Background: Birdsong is an important form of communication that plays an important role in territorial defense and mate attraction by conveying valuable information. While body-size and song frequency are often negatively correlated among species, this relationship is only found in a few songbirds. Previous studies on the Dusky Warbler (Phylloscopus fuscatus) found that there was a positive correlation between tarsus length and peak frequency. And heavier male Dusky Warblers possess better territories and obtain more opportunities for mating;body condition may be related to reproduction of birds, so females may choose heavier mates or better body condition based on the singing characteristics of males. Methods: We recorded spontaneous song and measured morphology of 33 male Dusky Warblers in Saihanba Forest Farm area between July 5 and August 10, 2015. We chose body weight as an indicator of body size and defined body condition as residuals from a linear regression between body weight and tarsus length. Frist, we used Pearson correlation to analyze whether date and time of day were correlated with weight, and then we used linear regression to analyze whether sound features could indicate the body weight and body condition. We call body weight and body condition the male condition. Results: We found no effect of date and time of day on weight, and we showed a correlation between the male condition and song features in the small songbird, Dusky Warbler. Maximum trill quality and maximum peak frequency of songs were negatively related to male condition;the mean number of syllables of songs and maximum high frequency of songs were positively correlated with body weight and body condition. Conclusions: In the small songbird, Dusky Warbler, four song parameters, including maximum trill quality, mean number of syllables of songs, maximum peak frequency of songs, maximum high frequency of songs, significantly predicted male condition change of which the most important song characteristic for male condition was maximum trill quality. This study suggested that the extreme song features were more constrained by male condition than mean sound characteristics.

The influence of different monodentate P-ligand mixtures on Rh-catalyzed 1-butene hydroformylation

Four monodentate P-ligands and their mixtures（six groups of double-ligand systems,four groups of triple-ligand systems and one group of tetra-ligand system）were used with Rh（acac）（CO）2（acac=acetylacetonate）or Rh（acac）CO（PPh3）as the catalyst in the hydroformylation reaction of 1-butene.It was found that different Rh catalysts showed little difference in the catalysis performance.The general order of catalysis performance is doubleligand system 〉 single-ligand system〉triple-ligand system 〉 tetra-ligand system.Some synergistic effect in the double-ligand system was detected which needs a further investigation.

INVESTIGATIONS OF MAIN FACTORS AFFECTING TROPOSPHERIC NITRATE AEROSOL USING A COUPLING MODEL

Factors affecting tropospheric nitrate aerosol formation were investigated through a number of sensitivity studies using the thermodynamic equilibrium model ISORROPIA and the condensed gas-phase chemistry model. Results indicate that the equilibrium concentration of nitrate aerosol varies with solar zenith angle, air temperature, relative humidity, initial SO2 concentration, initial NO2 concentration and initial NH3 concentration. NH3 concentration and solar zenith angle play the most important roles, followed by relative humidity and NO2 concentration. It seems that the relations between nitrate aerosol and these four factors, as well as air temperature, are strong and highly nonlinear due to the coupling effect. The influence of SO2 concentration on nitrate aerosol is near-linear and weak.

Local and long-range transport influences on PM_(2.5) at a cities-cluster in northern China,during summer 2008

Hourly PM2.5 concentrations were observed simultaneously at a cities-cluster comprising 10 cities/towns in Hebei province in China from July 1 to 31, 2008. Among the 10 cities/towns, Baoding showed the high- est average concentration level （161.57μg/m3） and Yanjiao exhibited the lowest （99.35 μg/m3 ）. These observed data were also studied using the joint potential source contribution function with 24-h and 72-h backward trajectories, to identify more clearly the local and countrywide-scale long-range transport sources. For the local sources, three important influential areas were found, whereas five important influential areas were defined for long-range transport sources. Spatial characteristics of PM2.5 were determined by multivariate statistical analyses. Soil dust, coal combustion, and vehicle emissions might be the potential contributors in these areas. The results of a hierarchical cluster analysis for back trajectory endpoints and PM2.s concentrations datasets show that the spatial characteristics of PM2.5 in the cities-cluster were influenced not only by local sources, but also by long-range transport sources. Different cities in the cities-cluster obtained different weighted contributions from local or long-range transport sources. Cangzhou, Shijiazhuang, and Baoding are near the source areas in the south of Hebei province, whereas Zhuozhou, Yangfang, Yanjiao, Xianghe, and Langfang are close to the sources areas near Beijing and Tianjin.

Miro2 supplies a platform for Parkin translocation to damaged mitochondria

PINK1/Parkin-mediated mitophagy is an important process in selective removal of damaged mitochondria, in which translocation of Parkin to damaged mitochondria is recognized as an initiation step. At present, how the damaged mitochondria are selectively recognized and targeted by Parkin is not fully understood. Here we show that Miro2, an outer mitochondrial membrane protein, undergoes demultimerization from a tetramer to a monomer and alteration in mitochondrial localization upon CCCP treatment, suggesting a CCCP-induced realignment of Miro2. The realignment of Miro2 is tightly regulated by PINK1-mediated phosphorylation at Ser325/Ser430 and by Ca^2+binding to EF2 domain, which are both essential for the subsequent Parkin translocation. Interestingly, ablation of Miro2 in mouse causes delayed reticulocyte maturation, lactic acidosis and cardiac disorders. Furthermore, several Miro2 mutations found in the congenital lactic acidosis patients also disable its realignment and Parkin translocation. These findings reveal an important role of Miro2 to mediate Parkin translocation by sensing both depolarization and Ca^2+release from damaged mitochondria to ensure the accuracy of mitophagy.