Timeseria: An object-oriented time series processing library by Stefano Alberto Russo, Giuliano Taffoni, Luca Bortolussi

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Low-frequency ultrasonic pulse-echo datasets for geometry determination of a reinforced concrete step specimen with embedded polystyrene foam cuboids in non-destructive testingData... by Maria Grohmann, Stefan Maack, Matthias Behrens, Ernst Niederleithinger

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Unstructured road semantic segmentation method based on 3D point cloud of open pit mine by Caiwu LU, Jianan XUE, Meng LI, Shengyu YAN, sai ZHANG, Song JIANG, Runfeng HE

“…Compared with urban structured roads, unstructured roads in open pit mining scenarios are characterized by fuzzy road and terrain boundary features, no obvious road edges, and large spatial 3D coordinate spans. …”
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Vision-Based Branch Road Detection for Intersection Navigation in Unstructured Environment Using Multi-Task Network by Joonwoo Ahn, Yangwoo Lee, Minsoo Kim, Jaeheung Park

“…Autonomous vehicles need a driving method to be less dependent on localization data to navigate intersections in unstructured environments because these data may not be accurate in such environments. …”
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Collision Detection Algorithms for Autonomous Loading Operations of LHD-Truck Systems in Unstructured Underground Mining Environments by Mingyu Lei, Pingan Peng, Liguan Wang, Yongchun Liu, Ru Lei, Chaowei Zhang, Yongqing Zhang, Ya Liu

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СТРУКТУРНЫЕ ДИСПРОПОРЦИИ КАК УГРОЗА ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ РОССИИ by N. V. Osokina, E. V. Slesarenko

“…Results: basing on the analysis of scientific economic literature and statistical data, the historical background is revealed of the emergence of structural disproportions in the Russian economy, the origins of which had been laid long before the formation of the USSR and tended to strengthen during the Soviet period, and later during the period of transformation processes that swept the country at the turn of XX-XXI centuries; the influence of structural disproportions on the security of the Russian economy was described, which can be interpreted as a threat, characterized by a complete de-industrialization of the economy, reduction of innovation development, degradation of economic base and scientific potential, increasing dependence on vital consumer and industrial goods; there is a need to change the vector of socio-economic development of Russia and form a new model of structural modernization. …”
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Automated Extraction of Stroke Severity From Unstructured Electronic Health Records Using Natural Language Processing by Marta Fernandes, M. Brandon Westover, Aneesh B. Singhal, Sahar F. Zafar

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Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification by Bauke Arends, Melle Vessies, Dirk van Osch, Arco Teske, Pim van der Harst, René van Es, Bram van Es

“…For settings with limited training data, SetFit may be a promising alternative for document classification. …”
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Convergence Analysis on Unstructured Meshes of a DDFV Method for Flow Problems with Full Neumann Boundary Conditions by A. Kinfack Jeutsa, A. Njifenjou, J. Nganhou

“…A Discrete Duality Finite Volume (DDFV) method to solve on unstructured meshes the flow problems in anisotropic nonhomogeneous porous media with full Neumann boundary conditions is proposed in the present work. …”
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Enhancing the assessment of in situ beam–column strength through probing and machine learning by Jin Terng Ma, Luke Lapira, M. Ahmer Wadee

“…Therefore, when assessing the structural health of an in situ beam–column, both of these load effects must be considered. …”
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An automated information extraction model for unstructured discharge letters using large language models and GPT-4 by Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch

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Multiple Structural Breaks in Profit Share Rates of Participation Banks in Turkey: Are They Caused by the Recent Global Crises? by Mehmet Levent Erdas

“…I used the monthly data covering the period 1998-2018 for the estimated structural break dates. …”
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The 3‐D geological model around Chang'E‐3 landing site based on lunar penetrating radar Channel 1 data by Yuefeng Yuan, Peimin Zhu, Na Zhao, Long Xiao, Edward Garnero, Zhiyong Xiao, Jiannan Zhao, Le Qiao

“…Abstract High‐frequency lunar penetrating radar (LPR) data from an instrument on the lunar rover Yutu, from the Chang'E‐3 (CE‐3) robotic lander, were used to build a three‐dimensional (3‐D) geological model of the lunar subsurface structure. …”
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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

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Does teaching quality matter for Nordic primary school students’ mathematics confidence and mathematics achievement? A multilevel structural equation analysis of Nordic TIMSS 2019 grade 4 data by Lena Asp, Alli Klapp, Monica Rosén

“…To capture the hierarchical structure of the data, multilevel structural equation modelling (MSEM) is used as it keeps individual and classroom variation separate when investigating relations between teaching quality, mathematics confidence and mathematics achievement. …”
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Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia. by Hastings Shamaoma, Paxie W Chirwa, Jules C Zekeng, Abel Ramoelo, Andrew T Hudak, F Handavu, Stephen Syampungani

“…The estimation of forest structural data in area-based forest inventories relies on the relationship between field-based estimates of forest structural attributes (FSA) and lidar-derived metrics at plot level, which can be modeled using either parametric or non-parametric regression techniques. …”
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Structural Feature-Preserving Point Cloud Denoising Method for Aero-Engine Profile by Jieqiong Yan, Laishui Zhou, Jun Wang, Xiaoping Wang, Xia Liu

“…The noisy point cloud is divided into casing feature data, pipeline feature data and complex shape feature data. …”
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Structural Component Identification and Damage Localization of Civil Infrastructure Using Semantic Segmentation by Piotr Tauzowski, Mariusz Ostrowski, Dominik Bogucki, Piotr Jarosik, Bartłomiej Błachowski

“…The data includes semantic segmentation masks for both categorizing structural elements (slabs, beams, and columns) and assessing structural damage (concrete spalling or exposed rebars). …”
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Deep learning of structural morphology imaged by scanning X-ray diffraction microscopy by Aileen Luo, Tao Zhou, Martin V. Holt, Andrej Singer, Mathew J. Cherukara

“…Abstract Scanning X-ray nanodiffraction microscopy is a powerful technique for spatially resolving nanoscale structural morphologies by diffraction contrast. One of the critical challenges in experimental nanodiffraction data analysis is posed by the convergence angle of nanoscale focusing optics which creates simultaneous dependency of the far-field scattering data on three independent components of the local strain tensor—corresponding to dilation and two potential rigid body rotations of the unit cell. …”
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Interpretive Structural Modeling of Factors Affecting Organizational Ambidexterity in the Ministry of Sports and Youth by Ainolah Ahmadnejad Joghie, Mozafar Yektayar, Mozhgan Khodamoradpoor

“…The statistical population of this study consisted of experts who were selected purposefully based on theoretical saturation of 15 of them. Semi-structured interviews were used to collect data in the qualitative study and a questionnaire was used to collect data in the quantitative study. …”
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