Visualized analysis of research hotspots and evolution trends in the field of motivation in physical activity by Mingda Si, Chee Keng John Wang

“…Research in the field of motivation in PA is always an important research topic for researchers and policymakers in maintaining public health, but few studies focus on the development of motivation in PA research. Summarize the research strengths, hotspots, and stages of scientific evolution in the field of motivation in PA by performing visualization analysis which used CiteSpace software on 2375 publications including from January 1st, 1980, to January 31st, 2024, in the Web of Science Core Collection (WOSCC). …”
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Research on the Impact of Digital Innovation Ecosystem Niche Suitability for High-Quality Economic Development by Yabing Ma, Yongheng Fang, Jiamin Liu

“…On this basis, static and dynamic panel data models were established to empirically analyze the influence of DIES niche suitability on high-quality economic development. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…As the primary public source of satellite trajectory data, the Two-Line Element (TLE) dataset offers fundamental orbital parameters for space missions. However, for satellites with poor data quality, traditional neural network models often underperform, hindering accurate orbit predictions and meeting demands in satellite operation and space mission planning. …”
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Partisipasi Masyarakat Dalam Pengelolaan Dana Desa di Desa Biluango, Kecamatan Kabila Bone, Kabupaten Bone Bolango by Rauf A. Hatu, Ridwan Ibrahim, Sahrain Bumulo, Fadjrin S. Adahati

“…The findings indicate five models of community participation: First, the community provides ideas or suggestions according to the stage and idea gathering, starting from the bottom using a bottom-up approach; Second, community participation in the planning stage, where the community is involved in Village Deliberations to determine the priorities for village expenditures based on the assessment of community needs; Third, community participation in the implementation stage, where the community is directly involved in the programs implemented in the village; Fourth, participation in the monitoring stage, where the community actively participates in monitoring the implementation of development programs in the village; Fifth, community participation in the evaluation stage, where the community actively participates in the reporting and accountability processes of village fund management. …”
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The Nonlinear Effects of Environmental Regulation on Ecological Efficiency of Animal Husbandry—Case Study of China by Liyuan Shang, Jinhui Ning, Gaofei Yin, Wenchao Li, Juanjuan Wu, Cha Cui, Ruimei Wang

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Development of a spatial accuracy compensation method based on multi-beam laser interferometer by Lihua Lei, Changjian Sun, Zhangning Xie, Lijie Liang, Yunxia Fu, Bo Zhang

“…Abstract A mathematical model has been established for the error associated with the degree of freedom for each motion axis, with a correction applied based on the 12-line method in three-dimensional space. …”
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Assessing the impact of the national revitalization plan for old revolutionary base areas on green development by Shunbo Yao, Xuehua Cui, Mengyang Hou, Weinan Lu, Yalin Xie, Zenglei Xi, Chao Liu, Huizhao Shao, Yaojun Shan

“…The results find that the implementation of NRP boosts the ORBAs to achieve green development. The NRP realize green development through industrial restructuring, technological progress, ecological space governance, and public service provision. …”
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The mitigation of spatial constraint in porous environments enhances biofilm phylogenetic and functional diversity by Chengxia Fu, Yichao Wu, Søren J. Sørensen, Ming Zhang, Ke Dai, Chunhui Gao, Chenchen Qu, Qiaoyun Huang, Peng Cai

“…The neutral model analysis demonstrated that biofilm assembly within different pore spaces was predominantly governed by stochastic processes, while deterministic processes became more influential as pore space increased. …”
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Structural development and implementation of new underground heavy-load robot based on configuration optimization by Lixia Fang, Yun Chen, Qinwei Zhang, Cong Ma, Miao Wu

“…It can fully meet the design requirements of flexible operation and high carrying capacity in the confined underground space. The research in this paper provides new ideas for the structural development of heavy-load robot, effectively enhances the design efficiency of spatial multi-freedom degree industrial robot, and lays a foundation for the coordinated control of modern intelligent robots.…”
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World Heritage as a balancing act: experiences from a medium-sized World Heritage City in Bavaria by Patricia Alberth

“…The aim of this paper is to analyze recent developments in the planning and use of public spaces in Bamberg taking into account current methods of participation. …”
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Using computational pharmacology and experimental verification to decode mechanism of Qing-Wei-San in treating periodontitis by Yanhong Liu, Wenqi Li, Jingxiao Chen, Yi Li, Jieqi Cai, Yongxi Luo, Jiahao Lin, Lu Chen, Aiping Lu, Daogang Guan, Huiyong Xu

“…Results We designed a novel computational systems pharmacology model that integrates the targets of the traditional Chinese medicine QWS with periodontitis-associated pathogenic genes, forming a Core Effect Space (CES). …”
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The information field management during the period of interstate confrontation by A. V. Aristov

“…The logic of building a scenario contains 3 stages: the creation of a theoretical model, the design of a practical model, and the definition of alternatives for the development of the scenario.…”
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Forces et espaces : Maupassant, Borges, Hewingway by Per Aage Brandt

“…The aim of a cognitive narratology, as I see it, is to develop the literary and generally semiotic study of narratives through cognitive modeling, and to develop cognitive studies of mind and meaning by integrating insights from literary scholarship. …”
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Evaluation of Resettled Residents’ Engagement in Community Gardens and Preferences for Garden Development Factors in Beijing by Ye Liu, Mingxin Ma, Siqiao Zhou

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Global research trends in the application of artificial intelligence in oncology care: a bibliometric study by Mianmian Xu, Yafang Chen, Tianen Wu, Yuyan Chen, Wanling Zhuang, Yinhui Huang, Chuanzhen Chen

“…In recent years, the keywords with the highest burst strength were “model” and “human papillomavirus.” The most studied tumor type was breast cancer. …”
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Exploratory development of human–machine interaction strategies for post-stroke upper-limb rehabilitation by Kang Xia, Xue-Dong Chang, Chong-Shuai Liu, Yu-Hang Yan, Han Sun, Yi-Min Wang, Xin-Wei Wang

“…The active patient-in-charge strategy incorporates data acquisition matrices and a new deep learning model, which is developed based on Convolutional Neural Network (CNN) and Transformer structure, aims to capture subtle motion intentions. …”
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Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning: Segmentation sémantique automatis... by Michael Allan Merchant, Masoud Mahdianpari, Laura Bourgeau-Chavez, Ben DeVries, Aaron Berg

“…Repeatable methods capable of quantifying Arctic surface water extent at high resolutions are important, but still require development. Here, we present a study using very-high resolution (VHR) X-band Synthetic Aperture Radar (SAR) imagery from Capella Space for fine-scale semantic segmentation of Arctic surface water features. …”
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Using feature importance as an exploratory data analysis tool on Earth system models by D. Ries, K. Goode, K. McClernon, B. Hillman

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Small-Signal stability analysis of MMC-HVDC system with saturated transformer by Hanwen Wang, Yang Wang, Xianyong Xiao, Yunzhu Chen, Shupeng Li, Zhijun Er, Zhenbin Li

“…Initially, a saturable transformer model is developed, with the excitation curve fitted using a polynomial approach. …”
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Six-hour Prediction of Interplanetary Magnetic Field Bz Profiles for Strong Southward Cases by Deep Learning by Jihyeon Son, Yong-Jae Moon, Young-Sil Kwak, Kyung Sun Park, Hyun-Jin Jeong

“…In this study, we develop deep learning models to forecast the 6 hr interplanetary magnetic field (IMF) B _z component for southward cases. …”
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