THE COMPARISON BETWEEN STRUCTURAL PARTICLE “地” IN MANDARIN AND STRUCTURAL PARTICLE “DENGAN” ATAU “SECARA” IN INDONESIAN by Elvira Septevany, Liu Dandan, Qin Weifen, Lu Xing

“…In order to compare these two words, the writer uses contrastive analysis which is a study to identify the differences and similarities between Indonesian and Mandarin structural particle. The data collection technique was done by using purposive sampling technique. …”
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Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords by Mouna Garai, Maha Sliti, Noureddine Boudriga, Manel Mrabet, Sarra Ayouni, Abdelrahman Elfikky, Ayman Boghdady, Syed Agha Hassnain Mohsan, Lassaad Ben Ammar

“…This study introduces a tree-structured communication architecture utilizing hierarchical optical codewords to enhance data routing efficiency and establish a vehicle identification system. …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 2; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Analysis of Development Patterns of Built Land and Spatial Structure in Bandung City Using Landsat 8 Image Data by Mukhoriyah Mukhoriyah, Samsul Arifin, Esthi Kurnia Dewi, Silvia Silvia

“…This study aims to analyze the development pattern of built land and the spatial structure of Bandung City. The data used are the 2015-2020 Landsat 8 time series imagery, the 2019 SPOT-6 imagery, and the administrative boundary map. …”
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Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…Recent developments extend this foundation through higher-order structures, such as hypergraphs, multilayer, and temporal networks, which better capture complex real-world interactions. …”
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Near-Surface Stratigraphic Structure of the Regolith Revealed Using Chang'e-2 Microwave Brightness Temperature Data by Chen Zou, Guoping Hu, Wei Yang, Wuming Zhang

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Regional Geological Data on the Volturno Basin Filling and Its Relationship to the Massico Structure (Southern Tyrrhenian Sea, Italy) by Gemma Aiello

“…This section has been integrated with multichannel seismic data of Zone E (ViDEPI project) to highlight its relationships with the Massico structure. …”
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Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model by Wenbin Liu, Bo Yang, Zhili Chen

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Modeling Worldwide Tree Biodiversity Using Canopy Structure Metrics from Global Ecosystem Dynamics Investigation Data by Jin Xu, Kjirsten Coleman, Volker C. Radeloff, Melissa Songer, Qiongyu Huang

“…One of our new GEDI metrics, representing canopy structure complexity, was among the top five most important features. …”
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BLOCK STRUCTURE OF THE SOUTHERN KURAI BASIN OF GORNY ALTAI ACCORDING TO GEOELECTRIC DATA COMPARED TO THE DISTRIBUTION OF EARTHQUAKE EPICENTERS by A. M. Sanchaa, N. N. Nevedrova, P. V. Ponomarev

“…In our study of the Southwestern trough, it is established that most of the earthquakes concentrated in active fault structures separating the blocks of varying depths, which are identified from the geoelectric data. …”
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Investigation of cell development and tissue structure network based on natural Language processing of scRNA-seq data by Suwen Wei, Yuer Lu, Peng Wang, Qichao Li, Jianwei Shuai, Qi Zhao, Hai Lin, Yuming Peng

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Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data. by Nathan J Hostetter, Nicholas J Lunn, Evan S Richardson, Eric V Regehr, Sarah J Converse

“…We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. …”
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Visualization of four-dimensional X-ray absorption fine structure data using a virtual reality system by Haruo Igarashi, Daiki Kido, Yutaka Ishii, Yasuhiro Niwa, Atsushi Okamoto, Masao Kimura

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A method for reconstructing the dynamic displacement of floating structures based on acceleration measurements and comparison with data-reconstruction techniques by Shujian Gao, Xi Chen, Zewen Pan, Zhe Tian, Fushun Liu

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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

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Modal Identification and Finite Element Model Updating of Flexible Photovoltaic Support Structures Using Multi-Sensor Data by Mingfeng Huang, Chen Yang, Kang Cai, Xianzhe Li

“…In this study, field modal testing of a flexible PV support structure was conducted, and high-order modal properties were identified from multi-sensor data. …”
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New data on the structure and motion of the ice sheet in the area of a runway of the Novolazarevskaya Reserch Station (East Antarctica) by A. S. Boronina, M. P. Kashkevich, S. V. Popov, E. M. Mikhailov, A. E. Druzhin

“…The central part of the runway appears to be the most complex in structure, demonstrating relatively high deformations in the marginal parts and characterized by large vertical structures in the glacier. …”
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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. …”
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THE STRUCTURE AND HISTORY OF ABYSSAL HILLS OF THE NORTH-WESTERN PACIFIC PLATE FROM CONTINUOUS SEISMIC PROFILING AND STRATIGRAPHIC DATA by V. L. Lomtev

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Local structure of solid and liquid gold probed by reverse Monte Carlo analysis of X-ray absorption data by Nodoka Hara, Fabio Iesari, Toshihiro Okajima, Andrea Di Cicco

“…The increase in computational capabilities of modern computers has allowed us to develop new accurate methods for EXAFS (extended X-ray absorption fine structure) data-analysis. In particular, the RMC-GNXAS package provides models of the three-dimensional structure applying the reverse Monte Carlo (RMC) method to EXAFS of condensed or molecular systems. …”
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