A systematic review of advances in preparation, structures, bioactivities, structural-property relationships, and applications of Polyporus umbellatus polysaccharides by Wei Gao, Yongbin Xu, Weihao Chen, Jianjun Wu, Yu He

“…In this review, current relevant research data regarding techniques for the preparation (extraction, fractionation, and purification) and structural characterization (molecular weight, monosaccharide composition, glycosidic bond types, and structural features) of PUPs covering a period of over 50 years are reviewed. …”
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To realize a variety of structural color adjustments via lossy-dielectric-based Fabry–Perot cavity structure by Rahman Md Abdur, Kim Dong Kyu, Lee Jong-Kwon, Byun Ji Young

“…Structural colors with tunable properties have extensive applications in surface decoration, arts, absorbers, and optical filters. …”
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NEW STRUCTURAL-METRIC METHOD FOR DETECTING PERSPECTIVE OIL AND Gas STRUCTURES (ON THE EXAMPLE OF NURIN-KHAGSKY SQUARE IN KALMYKIA) by Vladimir Mikhailovich Kharchenko, Denis Vasilievich Lapta

“…Materials and research methods: the source materials of scientiic research are space imagery of various scales, data from soil, geobotanical, geomorphological (landscape-geoecological) studies to conirm the reliability of selected structures of the central type and liniment of various ranks. …”
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Efficient Trans-Dimensional Bayesian Inversion of C-Response Data from Geomagnetic Observatory and Satellite Magnetic Data by Rongwen Guo, Shengqi Tian, Jianxin Liu, Yi-an Cui, Chuanghua Cao

“…To investigate deep Earth information, researchers often utilize geomagnetic observatories and satellite data to obtain the conversion function of geomagnetic sounding, C-response data, and employ traditional inversion techniques to reconstruct subsurface structures. …”
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Geologic and Structural Evolution of the NE Lau Basin, Tonga: Morphotectonic Analysis and Classification of Structures Using Shallow Seismicity by Melissa O. Anderson, Chantal Norris-Julseth, Kenna Harmony Rubin, Karsten Haase, Mark D. Hannington, Mark D. Hannington, Alan T. Baxter, Margaret S. Stewart

“…Here, we address the fundamental question: how does this subduction-transform motion influence the structural and magmatic evolution of the back-arc region? …”
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Factorial-experimental investigation of LPBF regimes for VZh159 nickel superalloy grain structure and structural strength optimization by Rustam R. Kyarimov, Eugene S. Statnik, Eugene S. Statnik, Iuliia A. Sadykova, Alexander A. Frantsuzov, Alexey I. Salimon, Alexey I. Salimon, Alexander M. Korsunsky, Alexander M. Korsunsky, Alexander M. Korsunsky

“…This study investigates the optimization of Laser Powder Bed Fusion (LPBF) process parameters to enhance the mechanical properties of the Russian Ni superalloy VZh159 (a close analogue of IN718) material that is commonly used in critical aerospace applications, and the corresponding studies of the grain structure within and near the melt pool formed by a single laser scan line. …”
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Research on Big Data Application for Security by Deli Yang, Tao Zhang

“…Several data sources of big data on security were described，a closer look was taken at the implementation of big data platform on security，the main points and steps during the implementation were also proposed.Specially，detail analysis on the overall architecture and system structure of the big data platform on security were provided，the relationship with the existing video surveillance platform was also described.The implementation of big data platform on security must be promoted on the scale of data characteristics and algorithm maturity.…”
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Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

“…Our strategy is to partition the data into small groups of points similarly distanced from a reference point in a B+ tree data structure and use this data structure to limit the search space of a $$k$$ -NN query. …”
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Big Data Driving Economic Transformation by Wenjian Liu, Sude Qing

“…Big data are widely woven into every sector and play an important role in the global economy as an essential factor of production.Big data can be brought together and analyzed to discern patterns,make better decisions so as to reduce production cost and increase the quality of products and services.A concise and comprehensive description that big data would have a significant influence on the structure of traditional industry including agriculture,industry and services,was given.Obviously,the big data industry is currently becoming a new economic growth point,promoting economic transformation and upgrading.…”
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Big Data Driving Economic Transformation by Wenjian Liu, Sude Qing

“…Big data are widely woven into every sector and play an important role in the global economy as an essential factor of production.Big data can be brought together and analyzed to discern patterns,make better decisions so as to reduce production cost and increase the quality of products and services.A concise and comprehensive description that big data would have a significant influence on the structure of traditional industry including agriculture,industry and services,was given.Obviously,the big data industry is currently becoming a new economic growth point,promoting economic transformation and upgrading.…”
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METHOD OF CONSTRUCTION OF GENETIC DATA CLUSTERS by N. A. Novoselova, I. E. Tom

“…In a comparative experiment with the analogs the proposed method shows the advantage in allocating statistically significant different-sized clusters, the ability to filter non- informative genes and to extract the biologically interpretable functional modules matching the real data structure.…”
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Application and practice of industrial big data by Aijin YUAN, Binnan YUE, Xin YAN, Jian HUANG

“…With the advent of the Internet of things and the era of Cyber Physical System,more data can be collected and analyzed,and industrial big data have become important driving force for industry innovation and transformation.Unlike traditional Internet big data,industrial big data are closely integrated with industrial logic.The difference between industrial big data and internet big data was compared in detail.Combined with the classical cases,the process of demand driven transformation of traditional manufacturing industry and the development path of industrial big data were expounded.The structure and working principles of industrial big data platform were introduced.At last,taking the excavator business as an example,it shows the application effect of the industrial big data platform,and that having a share in data and models will make data based application produce more value was put forward.…”
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Embedding With Preservation of Semantics of the Original Data by M. E. Vatkin, D. A. Vorobey, M. V. Yakovlev, M. G. Krivova

“…In the modern world, the data used to describe objects is often presented as sparse vectors with a large number of features. …”
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Data caching technologies in modern microprocessors by V. A. Egunov, V. A. Shabalovsky

“…The study presented in the paper is aimed at studying the methods for improving the efficiency of software in modern computing systems with a hierarchical memory structure. Method. The study is based on data caching technologies in microprocessors. …”
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Data Inconsistency Evaluation for Cyberphysical System by Hao Wang, Jianzhong Li, Hong Gao

“…To deal with the large dynamic data, we provide a compact structure based on B-tree for storing independent residual subgraph in order to update inconsistency efficiently. …”
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Efficient processing of raster and vector data. by Fernando Silva-Coira, José R Paramá, Susana Ladra, Juan R López, Gilberto Gutiérrez

“…More concretely, we present algorithms for solving a spatial join between a raster and a vector dataset imposing a restriction on the values of the cells of the raster; and an algorithm for retrieving K objects of a vector dataset that overlap cells of a raster dataset, such that the K objects are those overlapping the highest (or lowest) cell values among all objects. The raster data is stored using a compact data structure, which can directly manipulate compressed data without the need for prior decompression. …”
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Biodiversity Information of benthic Species at ARtificial structures – BISAR by Jennifer Dannheim, Paul Kloss, Jan Vanaverbeke, Ninon Mavraki, Mirta Zupan, Vanessa Spielmann, Steven Degraer, Silvana N. R. Birchenough, Urszula Janas, Emma Sheehan, Katharina Teschke, Andrew B. Gill, Zoe Hutchison, Drew A. Carey, Michael Rasser, Jolien Buyse, Babeth van der Weide, Oliver Bittner, Paul Causon, Roland Krone, Marco Faasse, Alexa Wrede, Joop W. P. Coolen

“…BISAR is the first data product containing harmonised and quality-checked international data on benthos from artificial structures in the North Sea. …”
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Adaptive data embedding for curved spaces by Anoop Praturu, Tatyana O. Sharpee

“…The ability to discern subtle changes and structural shifts showcases the utility of this approach in understanding complex data dynamics.…”
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An Exploration of Consistency Learning with Data Augmentation by Connor Shorten, Taghi M. Khoshgoftaar

“…Nearly all of these successes require very large manually annotated datasets. Data augmentation has enabled Supervised Learning with less labeled data, while avoiding the pitfalls of overfitting. …”
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The Property Graph Data Format (PGDF) by Renzo Angles, Sebastian Ferrada, Ignacio Burgos

“…The simplicity of PGDF comes from its tabular-like structure, where each line in a PGDF file contains a single schema or data declaration. …”
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