Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration from a Differentiated Perspective of Population Distribution and Population Mobility by Yongwang Cao, Qingpu Li, Zaigao Yang

“…We propose a new method for identifying the dynamic boundaries of urban agglomerations through multi-source data fusion. This method not only provides technical support for scientific regional planning but also effectively guides the functional positioning of edge cities and the optimization of resource allocation. …”
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Ecosystem services in the Northern Tianshan Urban Agglomeration: Nonlinear responses to natural and human factors and threshold-based spatial optimization strategies by Ying Meng, Weixin Du, Li Chen, Zhigang Zhao, Haiyan Du, Zhipeng Li, Mengjie Song, Shala Tuohetaerhan

“…Study Focus: We quantified the spatio-temporal dynamics (2003–2023) of five key ESS—water yield, soil retention, food supply, habitat quality, and carbon storage—using multi-source remote sensing and the InVEST model. An integrated ESS supply index (ESSD) captured trade-offs and synergies, while boosted regression trees (BRT) revealed nonlinear marginal effects and critical thresholds in 15 natural and anthropogenic drivers. …”
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Analysis of the Carbon Emission Trajectory and Influencing Factors of Agricultural Space Transfer: A Case Study of the Harbin-Changchun Urban Agglomeration, China by Xiwen Bao, Xin Wang, Ziao Ge, Jiayao Xi, Yinghui Zhao

“…The carbon emission total from agricultural space transfer in the Harbin-Changchun urban agglomeration over the 20-year period is calculated using the carbon emission coefficient method. …”
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Spatiotemporal evolution and influencing mechanisms of carbon pressure at the county scale: A case study of central-south Liaoning urban agglomeration, China by Xinrui Liu, Rongfei Guo, Yabing Zhang, Na Liu, Jian Zhang

“…This highlights the effectiveness of the nested spatiotemporal leaps and quantile regression model in explaining the driving forces underlying the spatiotemporal shifts in CPI. …”
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Spatial complex correlation characteristics of carbon emissions and carbon transboundary transfer: Assessment of the carbon footprint in four mega-urban agglomerations in China by Chengxue Yu, Haimeng Lei, Hongbo Zheng, Tong Xu, Zhanfeng Dong

“…This indicates the dominance a ''broker-like'' collaborative mechanism that optimizes the allocation of environmental resources across regions and enhances the overall synergistic effects of regional low-carbon transformation. Based on these findings, the study advocates for differentiated emission reduction and carbon absorption policies tailored to the specific roles and development needs of each urban agglomeration. …”
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La métropolisation en Pologne : le fonctionnement et l’avenir des espaces métropolitains polonais by Robert Pyka

“…The conducted research suggests the existence of approximately seven metropolitan areas in Poland among which Warsaw and “Silesia” Metropolis are the biggest ones.Metropolization phenomenon is the source of development chances but on the other hand it is also the reason of various side effects and social costs. …”
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The modulation of synoptic weather patterns and human activities on the diurnal cycle of the summertime canopy urban heat island in the Yangtze River Delta Urban Agglomeration, Chi... by T. Shi, T. Shi, Y. Yang, L. Zong, M. Guo, M. Guo, P. Qi, S. Lolli

“…This study systematically analyzed the diurnal patterns of CUHI intensity (CUHII) in the Yangtze River Delta Urban Agglomeration (YRDUA) by integrating multiple source datasets and utilizing objective classification methods. …”
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Research on Thermal Environment Influencing Mechanism and Cooling Model Based on Local Climate Zones: A Case Study of the Changsha–Zhuzhou–Xiangtan Urban Agglomeration by Mengyu Ge, Zhongzhao Xiong, Yuanjin Li, Li Li, Fei Xie, Yuanfu Gong, Yufeng Sun

“…These research outcomes offer a robust scientific foundation for evidence-based decision-making in mitigating UHI effects and promoting sustainable urban ecosystem development across urban agglomerations.…”
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Spatio-Temporal Change in Urban Carbon Metabolism Based on Ecological Network Analysis: A Case Study in the Beijing–Tianjin–Hebei Urban Agglomeration, China by Fang Xu, Xiaoyou Guo

“…The insights gained can inform effective mitigation strategies in the BTHUA and similar urban agglomerations, ultimately contributing to sustainable urban development.…”
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What are the primary sources of air pollution in Indian cities? by Chakravarty Poorna, Tripathi Sabyasachi, Chandiramani Jyoti

“…The study concludes with important policy interventions to address urban air pollution effectively for higher and sustainable urban growth in India.…”
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Optimizing Urban Thermal Environments Through 2D/3D Landscape Pattern Analysis: A Machine Learning-Driven Approach for the Yangtze River Delta Urban Agglomeration by Haoshan Zhou, Ruci Wang, Hao Hou, Bin Xie, Tangao Hu

“…To address the escalating urban heat stress driven by global warming and rapid urbanization, this study integrates multi-source remote sensing data to assess the spatiotemporal dynamics of summer thermal comfort across the Yangtze River Delta Urban Agglomeration (YRDUA) from 2000 to 2020. …”
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Remote Sensing Fine Estimation Model of PM_2.5 Concentration Based on Improved Long Short-Term Memory Network: A Case Study on Beijing–Tianjin–Hebei Urban Agglomeration i... by Yiye Ji, Yanjun Wang, Cheng Wang, Xuchao Tang, Mengru Song

“…This model was evaluated through ablation and comparative experiments using three cross-validation methods: sample-based, temporal, and spatial. The effectiveness of this method was demonstrated on Beijing–Tianjin–Hebei urban agglomeration, achieving a coefficient of determination (R²) of 0.89, root mean squared error (RMSE) of 12.76 μg/m³, and mean absolute error (MAE) of 8.27 μg/m³. …”
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Optimal allocation of urban land space based on NSGA2 by Yi Guo, Chaoqin Bai, Peiwen Zhao

“…This indicated that the research method had a good optimization effect on the optimal allocation (OA) of land space in urban agglomerations, providing scientific decision-making support for sustainable urban development.…”
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Structural and transport properties of newly synthesized ZSM-5 sourcing silica from coconut shell ash by Aparna Sarker, Abu Sufian Rabbi, Nasrin Akter Nadi, A. K. M. Lutfor Rahman, A.A. Momin, Khondoker Shahin Ahmed, Hasina Akhter Simol

“…This study introduces a pioneering approach to synthesize the valuable zeolite ZSM-5 using waste coconut shell ash (CSA), a readily available and cost-effective alternative natural source of silica. High-purity amorphous silicon dioxide (SiO2) was successfully extracted from discarded coconut shells, as confirmed by X-ray diffraction (XRD) analysis, providing an eco-friendly approach to the production of this valuable material. …”
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Spatial and temporal characteristics and driving mechanisms of recreational ecosystem services supply-demand mismatch in rapidly urbanizing areas: Evidence from the Yangtze River D... by Ruien Tang, Guolin Hou, Yueyi Chen, Xiao Liu, Shaoying Chu, Li Li

“…Taking the Yangtze River Delta Urban Agglomeration in China as an example, this study first builds an updated supply indicator system based on the four dimensions and examines the supply, demand, and matching of RES in the region with the help of heterogeneous data from multiple sources. …”
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The role of social media influencers and eWOM in driving purchase intention: insights from SMEs in the gamarra cluster by Franco Medina, Manuel-Luis Lodeiros-Zubiria

“…Additionally, CBE was found to be a more significant driver of PI than BT, reinforcing its role as a key construct in digital marketing effectiveness. The findings contribute theoretically by extending the application of source credibility and cluster theories to the context of agglomerated SMEs using shared branding. …”
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Spatiotemporal patterns and drivers of coupling coordination between digital technological innovation and economic resilience in the Yangtze river economic belt by Libin Guo, Kang Liu

“…Second, the spatial distribution of coupling coordination exhibits a clear upstream-downstream gradient, with higher coordination in the upper reaches and lower coordination in the middle and lower reaches, forming a distinct core-periphery structure within each agglomeration. Third, the overall inequality in coupling coordination shows a declining trend, but inter-agglomeration differences remain the primary source of inequality. …”
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Analysis of the Distribution Pattern and Driving Factors of Bald Patches in Black Soil Beach Degraded Grasslands in the Three-River-Source Region by Weitao Jing, Zhou Wang, Guowei Pang, Yongqing Long, Lei Wang, Qinke Yang, Jinxi Song

“…LISA identified two clusters: the high–high agglomeration area in the north of Maduo–Dari and the low–low agglomeration area in the southeast of Jiuzhi–Banma, revealing the spatial heterogeneity of the degradation process. (4) The spatial distribution pattern of bare patches was mainly affected by the annual average precipitation and actual stocking capacity, and the synergistic effect was significantly higher than that of a single factor. …”
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Spatial heterogeneity of multi-scale trade-off synergies in ecosystem services by Qiaozhen Guo, Yaxin Tian, Yue Zhang, Yajiao Wang

“…The interaction between water yield and soil conservation was mainly synergy. But the spatial agglomeration characteristics were different at different grid scales. …”
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Thermoelectric Effect of Buckypaper/Copper Assembly by Paula Fabíola Pantoja Pinheiro, Luiza de Marilac Pantoja Ferreira, Fabrício Augusto dos Santos Rodrigues, José Carlos da Silva Oliveira, Anselmo Fortunato Ruiz Rodriguez, Mário Edson Santos de Sousa, Marcos Allan Leite dos Reis

“…In this way, this study investigated the thermoelectric effect of a BP electrode assembled on a copper electrode with an active area of 4.0 cm2. …”
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