THE USE OF DYNAMIC DATA PROCESSING STRUCTURES ON THE EXAMPLE OF LIST TRANSFORMATION TASKS by D. V. Zdor

Subjects: “…data structures…”
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Traversal Caches: A Framework for FPGA Acceleration of Pointer Data Structures by James Coole, Greg Stitt

“…Unfortunately, FPGA usage has largely been limited to applications exhibiting sequential memory access patterns, thereby prohibiting acceleration of important applications with irregular patterns (e.g., pointer-based data structures). In this paper, we present a design pattern for RC application development that serializes irregular data structure traversals online into a traversal cache, which allows the corresponding data to be efficiently streamed to the FPGA. …”
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Photogrammetric data analysis for fortified architecture. Survey of currently disused structures by G. Gioioso, L. Corniello

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A survey of persistent index data structures on non-volatile memory by Yongfeng WANG, Zhiguang CHEN

Subjects: “…storage system;non-volatile memory;persistent index data structure;performance optimization…”
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An efficient data-driven optimization framework for elastically isotropic lattice structures by Zhengtao Shu, Hao Li, Liang Gao

“…The elastic properties of an isotropic lattice are direction-independent, ensuring a consistent stress–strain response of the structure to loads in any spatial direction. This paper presents a data-driven approach to optimize the elastically isotropic properties of lattice structures efficiently. …”
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Methodologies for the formation of structures of information systems for storing and analyzing patient data by Z. A. Shogenova, D. А. Krymshokalova, F. R. Ketova, F. H. Dzamikhova

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Incorporating Prior Information in Latent Structures Identification for Panel Data Models by Yi Li, Xingxing Luo, Mengqi Liao

Subjects: “…latent structures…”
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Data-driven contact structures: From homogeneous mixing to multilayer networks. by Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno

“…Nonetheless, current models still lack a faithful representation of all possible heterogeneities and features that can be extracted from data. Here, we bridge a current gap in the mathematical modeling of infectious diseases and develop a framework that allows to account simultaneously for both the connectivity of individuals and the age-structure of the population. …”
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Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database. by Anoop D Shah, Anuradhaa Subramanian, Jadene Lewis, Samir Dhalla, Elizabeth Ford, Shamil Haroon, Valerie Kuan, Krishnarajah Nirantharakumar

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An Empirical Approach to the Signalling of Enumerative Structures by Lydia-Mai Ho-Dac, Cécile Fabre, Marie-Paule Péry-Woodley, Josette Rebeyrolle, Ludovic Tanguy

“…This paper presents a data-intensive study of the signalling of enumerative structures. …”
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Digiral marketplaces and their effect to corporates’ business models and structures by Sergey N. Lavrov, Sergey V. Neklyudov

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Evaluating new technologies and organizational structures by Ofira Schwartz, Michele Hayslett

“…The first two evaluate methods to enhance findability of data deposited in data repositories. The subsequent two papers focus on organizational structure and improving organizational workflows. …”
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Ground Segmentation for LiDAR Point Clouds in Structured and Unstructured Environments Using a Hybrid Neural–Geometric Approach by Antonio Santo, Enrique Heredia, Carlos Viegas, David Valiente, Arturo Gil

“…The method hierarchically partitions point clouds into adaptive sectors, leveraging PCA-derived geometric features and dynamic variance thresholds for robust terrain modeling, while a SCNN resolves ambiguities in data-sparse regions. Evaluated in structured (SemanticKITTI) and unstructured (Rellis-3D) environments, two different versions of the proposed method are studied, including a purely geometric method and a hybrid approach that exploits deep learning techniques. …”
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Towards an understanding of the Structural Gap by Octavia Haure

“…This article presents some data from French and English film reviews, and in its capacity as a pilot study, is attempting to move towards an understanding of the structural gap between language macrostructures.…”
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Chameleon sequences-Structural effects. by Mateusz Slupina, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski, Irena Roterman

“…The predisposition of amino acids towards accepting the appropriate secondary structure form is ambiguous. The identified sequences (6-12 aa in length - ChSeq data base) of the chameleon type (the same sequence accepting different secondary structures) constitute a puzzle that makes it difficult to indicate the initial conformation in a chain with a given amino acid sequence. …”
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Structural and Electronic Properties of Qatranaite by Anna Majtyka-Piłat, Dariusz Chrobak, Roman Nowak, Marcin Wojtyniak, Mateusz Dulski, Joachim Kusz, Józef Deniszczyk

“…The present work addresses the atomic structure and electronic properties of a recently discovered mineral qatranaite (CaZn2(OH)6·2H2O). …”
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AI-assisted study of auxetic structures by Sergej Grednev, Henrik S. Steude, Stefan Bronder, Oliver Niggemann, Anne Jung

“… In this study, the viability of using machine learning models to predict stress-strain curves of auxetic structures based on geometry-describing parameters is explored. …”
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Discriminant analysis of Gaussian spatial data with exponential covariance structure by Kęstutis Dučinskas

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Connection between nuclear structure, dissipation, and time in fission data by Caamaño M., Ramos D., Fernández D., Mantovani G., Farget F., Rodríguez-Tajes C., Lemasson A., Rejmund M., Schmitt C., Ackermann D., Álvarez-Pol H., Audouin L., Benlliure J., Biswas S., Casarejos E., Clement E., Cortina D., Delaune O., Derkx X., Dijon A., Doré D., Durand D., Frankland J. D., Fernández-Domínguez B., de France G., Fregeau M. O., Galaviz D., Galiana-Baldó E., Heinz A., Henriques A., Jacquot B., Jurado B., Kim Y. H., Morfouace P., Paradela C., Piot J., Ralet D., Roger T., Salsac M. D., Teubig P., Tsekhanovich I.

“…This seemingly mundane property can be used to obtain information about the energy dissipated during the process and the role of structure in its dynamics. In this paper, the study of the even-odd effect for elasticand transfer-induced fission data is discussed. …”
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Deep Structure of the Middle Urals According to Magnetic and Gravitational Data by Byzov Denis, Martyshko Petr, Fedorova Natalia, Rublev Aleksey

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