Data Assimilation Informed Model Structure Improvement (DAISI) for Robust Prediction Under Climate Change: Application to 201 Catchments in Southeastern Australia by Julien Lerat, Francis Chiew, David Robertson, Vazken Andréassian, Hongxing Zheng

Subjects: “…model structure…”
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A dynamic key management and secure data transfer based on m-tree structure with multi-level security framework for Internet of vehicles by Hua Yi Lin, Meng-Yen Hsieh

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PATIENTS WITH ATRIAL FIBRILLATION IN MULTIDISCIPLINARY HOSPITAL: STRUCTURE OF HOSPITALIZATION, CONCOMITANT CARDIOVASCULAR DISEASES AND DRUG TREATMENT (DATA OF RECVASA AF-TULA REGISTRY) by M. N. Valiakhmetov, T. A. Gomova, M. M. Loukianov, S. Yu. Martsevich, K. N. Nadejkina, M. N. Artemova, D. N. Jilin, E. E. Fedotova, A. V. Zagrebelnyy, E. V. Kudryashov, S. A. Boytsov

“…All patients with a diagnosis of AF in the patient's chart (n=1225) were included into the RECVAZA AF-Tula registry; that is 4.2% of 29018 patients hospitalized to the Tula Regional Clinical Hospital in 2013. The structure of the associated cardiovascular diseases, as well as drug therapy, was evaluated on the basis of data in the medical documentation.Results. …”
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Detachment‐Fault Structure Beneath the TAG Hydrothermal Field, Mid‐Atlantic Ridge, Revealed From Dense Wide‐Angle Seismic Data by Szu‐Ying Lai, G. Bayrakci, B. J. Murton, T. A. Minshull

“…We used dense wide‐angle seismic data to define TAG's detachment structure at a finer scale than has previously been possible. …”
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Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation by Vasileios Ntinopoulos, Hector Rodriguez Cetina Biefer, Igor Tudorache, Nestoras Papadopoulos, Dragan Odavic, Petar Risteski, Achim Haeussler, Omer Dzemali

“…Objectives We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.Methods 50 synthetic medical notes in English, containing a structured and an unstructured part, were drafted and evaluated by domain experts, and subsequently used for LLM-prompting. 18 LLMs were evaluated against a baseline transformer-based model. …”
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A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data by P. Crespo-Peremarch, L.A. Ruiz, A. Balaguer-Beser

“…Regression methods are widely employed in forestry to predict and map structure and canopy fuel variables. We present a study where several regression models (linear, non-linear, regression trees and ensemble) were assessed. …”
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Structure of snow-­ice dams of the outburst lakes in the Broknes Peninsula (Larsemann Hills, East Antarctica) based on ground­penetrating radar data by S. D. Grigoreva, E. R. Kiniabaeva, M. R. Kuznetsova, S. V. Popov, M. P. Kashkevich

“…During the summer field season of the 65th Russian Antarctic Expedition a research aimed at studying the structure of the snow-­ice dams of the Lakes Progress and Discussion (Larsemann Hills, East Antarctica), which are characterized with annual outburst floods, was carried out. …”
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A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

“…Effectively identifying urban polycentric spatial structure (UPSS) is essential for data-driven evaluation of urban performance, and it serves as a scientific basis for urban spatial planning. …”
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SP-LCC — a dataset on the structure and properties of lignin-carbohydrate complexes from hardwood by Marie Alopaeus, Matthias Stosiek, Daryna Diment, Joakim Löfgren, MiJung Cho, Jarl Hemming, Teija Tirri, Andrey Pranovich, Patrik C. Eklund, Davide Rigo, Mikhail Balakshin, Chunlin Xu, Patrick Rinke

“…The resulting database, termed SP-LCC, includes structural information extracted from nuclear magnetic resonance measurements (NMR) and data on the molar mass distribution, antioxidant activity, glass transition temperature, thermal degradation, and surface tension. …”
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Dataset exploring the atomic scale structure and ionic dynamics of polyanion sodium cathode materials by Martin Hoffmann Petersen, Jin Hyun Chang, Arghya Bhowmik, Juan Maria García Lastra

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A dataset for surface defect detection on complex structured parts based on photometric stereo by Lin Wu, Yu Ran, Li Yan, Yixing Liu, You Song, Dongran Han

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Band structure database of layered intercalation compounds with various intercalant atoms and layered hosts by Naoto Kawaguchi, Kiyou Shibata, Teruyasu Mizoguchi

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NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function by Alessandra Rampinini, Irene Balboni, Olga Kepinska, Raphael Berthele, Narly Golestani

“…The NEBULA101 dataset offers brain structural, diffusion-weighted, task-based and resting-state MRI data, alongside extensive linguistic and non-linguistic behavioural measures to explore the complex interaction of language and cognition in a highly multilingual sample. …”
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scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data by Qing Xie, Wang Meng, Shili Lin

“…Results We propose scHiCSRS, a self-representation smoothing method that improves data quality, and a Gaussian mixture model that identifies structural zeros among observed zeros. scHiCSRS not only takes spatial dependencies of a scHi-C data matrix into account but also borrows information from similar single cells. …”
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Mock Observations: Morphological Analysis of Galaxies in TNG100 Simulations by Jun-Yu Gong, Weipeng Lin, Lin Tang, Yanyao Lan

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Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

“…A number of studies have shown that, in hedonic models, the structural attributes of real property have a greater influence on price than external attributes related to location and the immediate neighbourhood. …”
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Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

“…Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design due to absent uncertainty quantification (UQ), thus hampering broader applications. …”
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WCN24-987 ORGANIZATION AND STRUCTURES FOR DETECTION AND MONITORING OF CHRONIC KIDNEY DISEASE ACROSS WORLD COUNTRIES AND REGIONS: AN OBSERVATIONAL DATA FROM GLOBAL SURVEY by Somkanya Tungsanga, Winston Fung, Ikechi G. Okpechi, Feng Ye, Philip Kam-Tao Li, Anukul Ghimire, Jo-Ann Donner, Aminu K. Bello

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Coupling and Coordinated Development of Environmental Regulation and the Upgrading of Industrial Structure: Evidence from China’s 10 Major Urban Agglomerations by Xiaozhou Zheng, Renming Liu, Huiping Wang

Subjects: “…upgrading of industrial structure…”
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Gender differences in early childhood development in rural China: a sibling structure perspective by Hongyu Guan, Xiangzhe Chen, Lidong Zhang, Yunyun Zhang, Yuxiu Ding, Ai Yue

“…Abstract Background This study examines gender differences in early childhood cognitive development in rural China, focusing on the role of sibling structure. While gender disparities have narrowed in recent decades, concerns remain regarding unequal household resource allocation in low- and middle-income countries, particularly in contexts shaped by traditional son preference. …”
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