Analyzing Data Incompleteness for MRI Data for Quality Enhancement by Sanjay Shanbhag, Supreetha Raju, Varadraj P. Gurupur, S. Sowmya Kamath, Rajesh N. V. P. S. Kandala, Elizabeth A. Trader, Shyam Lal

“…By accurately identifying and quantifying these artifacts, our algorithms aim to improve MRI data’s overall quality and completeness, ultimately enhancing diagnostic accuracy and patient care.…”
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Design and Validation of the MANTiS-32 Wireless Monitoring System for Real-Time Performance-Based Structural Assessment by Jaehoon Lee, Geonhyeok Bang, Yujae Lee, Gwanghee Heo

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Anatomy, histology, and electron microscopy of the cardiac conduction system. Current views and new data: review by L. B. Mitrofanova

“…The review provides a current view of the anatomy, histology, immunohistochemistry, electron microscopy, and electron immunocytochemistry of the cardiac conduction system (CCS) based on literature data and the author's own research over more than 30 years. …”
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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…These datasets pose challenges due to the complexity of the vascular tree, making it difficult to convert raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data into meaningful representations. Without proper reconstruction, skeletonization, and graph representation, raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data remains an unstructured point cloud, unsuitable for quantitative analysis. …”
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Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction by Olumuyiwa Falowo, A.S. Daramola, W.K. Olabisi

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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crystals by Ilona A. Isupova, Denis A. Rychkov

“…<i>CrystalShift</i> is an open-source computational tool tailored for the analysis, transformation, and conversion of crystallographic data, with a particular emphasis on organic crystal structures. …”
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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Due to the limited amount of data available, kernel density estimation (KDE) was employed to expand the data. …”
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Effects of Biochar on Soil Quality in a Maize Soybean Rotation on Mollisols by Likun Hou, Yuchao Wang, Zhipeng Wang, Ruichun Gao, Xin Zhou, Siyu Yang, Xu Luo, Zhenfeng Jiang, Zhihua Liu

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Getting to the Point: Defining, Reconstructing and Investigating Shape Through a Procrustean Protocol by Ben R. Wigley, Paul G. Blackwell

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The 102–103° E geodivider in the modern lithosphere structure of Сentral Asia by Yu. G. Gatinsky, T. V. Prokhorova, D. V. Rundquist

“…The direction of P- and S-waves anisotropy together with the GPS data show decoupling layers of the crust and mantle in the southern part of the geodivider. …”
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On Bornological Structure by Anwar.N.I, Sh.K.Said Husain

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Seismic Structure and Tectonics of the North‐Central Chilean Subduction Zone Along the Copiapó Ridge From Amphibious Seismic Refraction Tomography and Local Seismicity by A. Warwel, D. Lange, A. Dannowski, E. Contreras‐Reyes, I. Klaucke, J. Diaz‐Naveas, M. Moreno, H. Kopp

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A Data-Synthesis-Driven Approach to Recognize Urban Functional Zones by Integrating Dynamic Semantic Features by Xingyu Liu, Yehua Sheng, Lei Yu

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Enhancing construction supply chain Sustainability: The synergistic role of big data analytics and organizational culture using SEM by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Abolfazl Edalatipour, Jan Vang, Mooud Dabaghi Roodsari

Subjects: “…Big data…”
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ON THE TIME AND CONDITIONS OF FORMATION OF THE SHOKSHA QUARTZITE-SANDSTONES OF THE SOUTH ONEGA DEPRESSION BASED ON THE NEW DATA FROM ISOTOPE GEOCHRONOLOGY by N. B. Kuznetsov, S. Yu. Kolodyazhnyi, T. V. Romanyuk, A. V. Strashko, A. S. Baluev, E. N. Terekhov, S. V. Mezhelovskaya, A. S. Dubensky, V. S. Sheshukov

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Changes in Consumer Food Preferences in EU Countries from 2001-2013 by Grzegorz Koszela, Luiza Ochnio

Subjects: “…dissimilarity of structures…”
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Fast report: Coseismic source model of the January 2025 Mw 6.1 Dapu earthquake from geodetic data and its implications for seismogenic structures in Southwestern Taiwan by Yogendra Sharma, Kuo-En Ching, Wu-Lung Chang, He-Chin Chen, Shih-Han Hsiao, Wu-Yu Liao, En-Jui Lee, Ray Y. Chuang, Chien-Liang Chen

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Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

“…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
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LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING DATA) by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

“…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

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