Therapeutic potential of a drug based on avocado and soy unsaponifiable compounds in the treatment of osteoarthritis: data from Russian and international studies (descriptive revie... by A. E. Karateev, A. M. Lila

“…According to the results of the presented studies, ASACs have proven efficacy in reducing the intensity of pain and dysfunction in knee OA. There are data confirming the structure-modifying effect of ASACs in OA of the hip joint (HJ). …”
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The Discovery of Buried Archaeological Structures at Saepinum and the Villa of Neratii (Valley of Tammaro River, Italy) Through Data-Adaptive Probability-Based Electrical Resistivity Tomography Using the Tensorial Acquisition Mode by Andrea Capozzi, Marilena Cozzolino, Federica Fasano, Vincenzo Gentile, Paolo Mauriello

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Association of radiographic structure deformity phenotypes of knee OA to clinical symptoms and risk for progression: Proposing a modification of Kellgren-Lawrence grade - Data from the Osteoarthritis Initiative and the MOST study by Sunho Ko, Yunhee Choi, Hyuk-Soo Han, Seong Hwan Kim, Du Hyun Ro

“…Design: We used radiographic grading data provided by the OAI and MOST study. Decision tree was used to (1) Find OARSI grade criteria for each KLG and (2) Phenotype early osteoarthritic knees (=KLG1, 2) by the radiographic structure changes. …”
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Integration of airborne gamma-ray spectrometry and remote sensing data for mapping of gold-bearing structures in the Doropo region, Northeastern Côte d’Ivoire (Southern part of West African Craton) by Ziandjêdé Hervé Siagné, Alain Nicaise Kouamelan, Wilfried Digbeu, Tahar Aïfa, N’Guessan Nestor Houssou, Koffi Alexis N’dri, Ouattara Gbele

“…Furthermore, the Landsat 8 OLI data processing highlighted mainly structural trends oriented NW-SE, NE-SW and E-W, which were recognised in the field as fractures, shear zones and faults. …”
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Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

“…Ultimately, a parcel-scale random forest (RF) model was developed to enable accurate crop type classification and spatial delineation of crop planting structures. Results show: 1) SEANet achieves accurate extraction of parcel boundaries, extracting a total of 175,000 parcels, and demonstrates a relative error of 6.98% compared to statistical yearbook data. …”
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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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A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

“…These approaches bring the issues especially concerning network capacity, specialized tools and applications not capable of being trained in a short period. Furthermore, raw data generated through IoT forming big data comes with the capability of producing highly unstructured and heterogeneous form of data. …”
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Constructing Efficient Mesh-Based Global Grid Systems with Reduced Distortions by Lakin Wecker, John Hall, Faramarz F. Samavati

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Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living by Zheng‐Yi Chai, Syed Attique Shah, Dirk Draheim, Sufian Hameed, Muhammad Mazhar Ullah Rathore

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Single Functional Index Quantile Regression for Functional Data with Missing Data at Random by Nadia Kadiri, Sanaà Dounya Mekki, Abbes Rabhi

“…First, a kernel estimator was proposed for the conditional distribution function, assuming that the data were selected from a stationary process with missing data at random (MAR). …”
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Access control model for multi-source heterogeneous data in big data environment by Qiuyue SU, Xingshu CHEN, Yonggang LUO

“…The big data platform is open and shared,but with the increasing amount of data and the complex and variable user access context,the RBAC model is difficult to meet the fine-grained and flexible access control in big data environment.To solve this problem,an access control model for multi-source heterogeneous data in big data platform is proposed.The model dynamically determines role permissions based on attributes and builds a hierarchical structure based on data groups to achieve simple management of data attributes.The model is formally defined,and the implementation and workflow in Hadoop platform are described.The experimental results show that the performance overhead of the proposed scheme is relatively small.…”
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Multi-replica provable data possession scheme supporting data dynamic updating by Long CHEN, Yu-zhu LUO

“…Considering the application demand of multiple replicas data security and data dynamic update,a multi-replica provable data possession scheme was proposed to supporting data dynamic updating.The original data file can be dynamically updated using dynamic verification structure.The other multiple-replica data files are just append with a log-record for each dynamic update operation.The multi-replica files support public auditability and batch verification.If the original data or any replica is corrupted or missing,it can be recovered to the latest status with another copy.The performances of the communication and storage as well as the security are analyzed.The results show that the scheme is efficient and secure.…”
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Data-driven approach to mid-latitude coherent scatter radar data classification by Berngardt Oleg

“…The algorithm automatically labels the data, determines the optimal number of signal classes observed by the radars, and trains a two-layer classifying neural network of an extremely simple structure. …”
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Data Hazards: An open-source vocabulary of ethical hazards for data-intensive projects by Natalie Zelenka, Nina H. Di Cara, Euan Bennet, Phil Clatworthy, Huw Day, Ismael Kherroubi Garcia, Susana Roman Garcia, Vanessa Aisyahsari Hanschke, Emma Siân Kuwertz

“…Understanding the potential for downstream harms from data-intensive technologies requires strong collaboration across disciplines and with the public. …”
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qPRF: A system to accelerate population receptive field modeling by Sebastian Waz, Yalin Wang, Zhong-Lin Lu

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Research on Reliability Testing Technology of Rail Transit Software by Ying YANG, Zhifei ZHOU, Buqi LIU, Weiqi JIAO

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Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space by Hui Peng, Yu Yu

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Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

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Methodology to identify robots given the type of control designation by S. A. Arkhipenka, L. U. Shilin, A. A. Naurotsky, A. P. Kuznetsov

Subjects: “…data structure…”
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Smart Cities and Resident Well-Being: Using the BTOPSIS Method to Assess Citizen Life Satisfaction in European Cities by Ewa Roszkowska, Tomasz Wachowicz

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