Worldwide Burden of Retinoblastoma from 1990 to 2021 by Yaling Feng, Xiaoyi Feng, Yun Lv

“…The SDI was employed to evaluate the interplay between socioeconomic development and the burden of retinoblastoma. …”
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Predicting wildlife corridors for multiple species in an East African ungulate community. by Jason Riggio, Katie Foreman, Ethan Freedman, Becky Gottlieb, David Hendler, Danielle Radomille, Ryan Rodriguez, Thomas Yamashita, John Kioko, Christian Kiffner

“…Our results revealed that species-habitat relationships and subsequent corridors differed across species, but the pattern of predicted landscape connectivity across the study area was similar for all seven species regardless of method (circuit theory or least-cost) and scaling of the habitat suitability-based cost surface (linear or non-linear). …”
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Characteristics and Influence Mechanism of Cultural and Creative Enterprise Migration from the Amenity Perspective: A Case Study of Guangzhou by Liao Huihui, Wei Cheng, Luo Peng, Shen Jing

“…In the context of science and technological innovation, the spatial distribution and evolutionary patterns of cultural and creative enterprises tend to diversify, and their migration characteristics and mechanisms also change. …”
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Analyzing the impact of urban growth on urban quality of life in the city of El Eluma: A multidimensional study by Hama Aya, Djeffal Djafar

“…The city is characterized by a pattern of rapid and heterogeneous urban growth, resulting from the interplay between official planning policies and informal on-the-ground practices, leading to a complex urban landscape. …”
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Spatio-temporal evolution and coupling relationship between biodiversity and urbanization in the areas along the Yellow River of Shandong province by Yingjun Sun, Wenxue Meng, Fang Wang, Haifeng Han, Mingxin Sui, Zhen Jian

“…First, this study constructed a new indicator system of biodiversity based on remote-sensing data from species, ecosystem, and landscape to monitor and evaluate the spatial heterogeneity. …”
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Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

“…This study introduced a combined approach using eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanation (SHAP) to estimate population spatialization at various grid scales and interpret the key influencing factors, then we applied accuracy evaluation metrics and landscape ecology indices to identify the optimal grid scale. …”
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Unveiling the molecular blueprint of SKP-SCs-mediated tissue engineering-enhanced neuroregeneration by Hui Zhu, Ying Wang, Siyuan Xu, Yunjian Song, Yifan Li, Yiting Wang, Qiuwen Sun, Muyuan Tong, Tianyi Huang, Yulin Pan, Hongkui Wang, Xi Xu, Chengbin Xue

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Analysis of Factors Influencing the Ecosystem Service Value in Yuzhong County and Multi-Scenario Predictions by Jixuan Yan, Gengxin Zhang, Wenning Wang, Zichen Guo, Jie Li, Xiangdong Yao, Pengcheng Gao, Qiang Li, Meihua Zhang, Miao Song

“…The results indicate that the overall ESV distribution exhibits a “fragmented northeast, clustered southwest” pattern, dominated by high-high and low-low clustering. …”
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Human disturbance influences occupancy of red deer in Mongolia by Rhiannon R. Henderson, Brittany A. Mosher, Rebecca Watters, Tumursukh Jal, James D. Murdoch

“…Human activity impacts wildlife by influencing patterns of occurrence, often in negative ways, which creates conservation challenges. …”
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Defining the cardiac surgical learning curve: a longitudinal cumulative analysis of a surgeon’s experience and performance monitoring in the first decade of practice by Shantel Chang, Ian Smith, Christopher Cole

“…While many studies investigate procedure-specific learning curves, very few carried out a longitudinal analysis of individual cardiac surgeons over the course of their career. Given the evolving landscape of cardiac surgery with the introduction of transcatheter and robotic procedures, a contemporary evaluation of the cardiac surgical learning curve is justified and a method of personal performance monitoring is proposed in this study. …”
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Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance by Chengwei Ying, Anlu Shi, Xiongyi Li

“…Abstract In the rapidly evolving landscape of digital finance, accurate credit risk assessment is critical for mitigating financial risks and improving lending decision-making. …”
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Blue-Green Space Changes of Baiyangdian Wetland in Xiong’an New Area, China by Chunlei Zhao, Shuan Qian, Chengzhen Meng, Yufei Chang, Wenzhe Guo, Sha Wang, Yinglong Sun

“…Moreover, the land-use transfer matrix and landscape pattern indices are applied for evaluating the BGS changes in the wetland. …”
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Optimizing Eco-Efficiency of green Infrastructure: A comparative study of woody plant species Utilizing SWMM-HYDRUS model and Analytic Hierarchy process by Bei Zhang, Zheng Liang, Lidong Zhao, Letong Ma, Shouhua Zhang, Taolve Gao, Liang Chen

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Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling by Xueqian Gong, Zhanyuan Zhu, Li Guo, Yong Zhong, Deshun Zhang, Jing Li, Manqin Yao, Wei Yong, Mengjia Li, Yujie Huang

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Variation in leaf functional trait and ecological strategies in two seedling species in disturbed forest fragments in Eastern Amazonia by Jéssica da Silva Pinto, Tailane Silva Sousa, Vanessa Negrão-Rodrigues, Renan Domingues Pacheco, Thaisa Sala Michelan, Raisa Nicole C. Cardoso, Grazielle Sales Teodoro

“…The ΨTLP and ΨsFT were more negative in palm species than in liana. The landscape and soil characteristics influenced resource allocation patterns and drought-related traits of the species, yet the species differed in the relationships among the variables. …”
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Exploring the Impact of Daytime and Nighttime Campus Lighting on Emotional Responses and Perceived Restorativeness by Xianxian Zeng, Bing Zhang, Shenfei Chen, Yi Lin, Antal Haans

“…This study examines how different landscape lighting conditions affect emotions and the perceived restorative potential, providing a mixed-method research framework to assess nighttime landscapes. …”
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Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model. by Maysoon A A Osman, Elfatih M Abdel-Rahman, Joshua Orungo Onono, Lydia A Olaka, Muna M Elhag, Marian Adan, Henri E Z Tonnang

“…Therefore, the aims of the current study were to (1) evaluate LULC changes in the Gedaref state, Sudan for the past thirty years (1988-2018) using Landsat imageries and the random forest classifier, (2) determine the underlying dynamics that caused the changes in the landscape structure using intensity analysis, and (3) predict future LULC outlook for the years 2028 and 2048 using cellular automata-artificial neural network (CA-ANN). …”
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Human–Nature Relationships in Country Parks at the Urban–Rural Fringe: A Case Study of the Huitian Region, Beijing by Zhenyu Li, Aibo Jin, Weijie Zhuang, Hui Li

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A random-forest-derived 35-year snow phenology record reveals climate trends in the Yukon River Basin by C. G. Pan, K. Lasko, S. P. Griffin, J. S. Kimball, J. Du, T. G. Meehan, P. B. Kirchner

“…This approach successfully mapped snow phenology across the diverse YRB landscape, providing valuable insight into how variations in snow cover align with regional climate patterns. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…Since the traffic patterns experienced in MBB networks are largely complex, highly dynamic and heterogenous in nature; hence, statistical methods may not adjust adequately to the changing network conditions. …”
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