Ultrasonography of the salivary glands in Sjögren's disease: own data analysis by Yu. I. Khvan, A. V. Torgashina, A. V. Volkov, S. I. Glukhov

“…Objective: to investigate feasibility of using ultrasonography (US) to evaluate structural changes of salivary glands (SG) in patients with Sjögren's disease (SD).Material and methods. …”
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Algorithmic governance and the need for consumer empowerment in data-driven markets by Stefan Larsson

“…The lack of transparency deriving from the complex and massive datafication of consumers – where consumers are profiled, data is brokered and the algorithmically automated decision-making is opaque – speaks to the need for improved supervision at a more structural level above and beyond the individual consumer’s choices, preferably by more active consumer protection authorities.…”
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Impact of data spatial resolution on barley yield prediction mapping by F. Ksantini, M. Quemada, N. Arencibia-Pérez, A.F. Almeida-Ñauñay, E. Sanz, Ana M. Tarquis

“…At 24 m, Stepwise Multiple Linear Regression performs better (R² = 0.81, RMSE = 0.26) due to data limitations. Beyond traditional accuracy metrics, spatial validation was performed using Moran index and Structural similarity index (SSIM) to assess spatial autocorrelation and pattern preservation. …”
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Spatio-Temporal Data Augmentation Method for Network Traffic Prediction by Sung Oh, Myeong-Jun Oh, Jong-Kyung Im, Ji-Yeon Park, Joung-Sik Kim, Na-Rae Yi, Myung-Ho Kim, Sung-Ho Bae

“…Moreover, network traffic data often exhibits localized and granular patterns, meaning that augmented data with significant spatial deviations from the original distribution can undermine structural consistency, leading to severe performance degradation in prediction models. …”
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Business Survey Data in Forecasting Macroeconomic Indicators with Combined Forecasts by Piotr Białowolski, Tomasz Kuszewski, Bartosz Witkowski

“…Current economic crisis shed dark light on the possibilities of creating a valuable and reliable short and medium term forecasts with the use of the most commonly applied econometric models in the structural or autoregressive form (SVAR, VAR), but also models of the general equilibrium (CGE, DSGE). …”
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Modeling and verification of data circulation control based on timed automata by LI Heng, LI Fenghua, LIANG Wanheng, GUO Yunchuan, ZHANG Lingcui, ZHOU Ziyan

“…Subsequently, the security requirements and circulation control properties were formalized during data transactions using CTL specifications. Finally, the aforementioned timed automaton model was simulated, with formal verification and analysis performed on its behavioral properties and structural attributes. …”
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3‐D Subsurface Geophysical Modeling of the Charity Shoal Structure: A Probable Late Proterozoic‐Early Paleozoic Simple Impact Structure in Eastern Lake Ontario by Mary H. Armour, Joseph I. Boyce, Phillip Suttak, Doug Hrvoic

“…Abstract The Charity Shoal structure is a circular, ∼1.2‐km‐diameter, bedrock‐rimmed shoal in eastern Lake Ontario with a ∼20‐m‐deep central basin. …”
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Data-Driven Approximated Optimal Control of Sulfur Flotation Process by Mingfang He

“…A simulation environment of sulfur flotation process is constructed based on phenomenological model and industrial data. Some practical problems in the implementation of ADP, i.e., selection of basis functions, how to use the model structural information in the ADP-based control design, are investigated. …”
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Dynamic growth tomato inflorescence modeling with elastic mechanics data by Siyao Liu, Subo Tian, Zhen Zhang, Lingfei Liu, Tianlai Li

“…Therefore, this study proposes a tomato inflorescence modeling method to meet the modeling demands of combining the growth process and elastic mechanics data. With the model promoted in this study, after measuring the size of tomato inflorescence key structures, the growth progress of inflorescence can be predicted, and elastic mechanics data of inflorescence at various sizes can be obtained. …”
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Poverty Data Model as Decision Tools in Planning Policy Development by Ahmad Haidar Mirza

“…One step is to process the data on poverty in a process of Knowledge Discovery in Databases (KDD) to form a data mining poverty. …”
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Single‐Cell Hi‐C Technologies and Computational Data Analysis by Madison A Dautle, Yong Chen

“…Although many scHi‐C protocols have been developed, they often involve intricate procedures and the resulting data are sparse, leading to computational challenges for systematic data analysis and limited applicability. …”
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Preferential Pathways Inversion From Cross‐Borehole Electrical Data by Léa Lelimouzin, Cédric Champollion, Léa Lévy, Delphine Roubinet

“…This allows identifying newly created narrow conductive structures from the field data collected before and after injection. …”
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Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method by G. Rossmanith, H. Modest, C. Räth, A. J. Banday, K. M. Górski, G. Morfill

“…The SIM is able to detect structural characteristics of a given data set and has proven to be highly valuable in CMB analysis. …”
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CNN Issues in Skin Lesion Classification: Data Distribution and Quantity by Giuliana Ramella, Luca Serino

“…Despite their pivotal role, the most popular CNN architecture families exhibit a critical issue related to the distribution and quantity of available data, potentially compromising their performance and generalization abilities. …”
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Determinants of digital technologies adoption in government census data operations by Kingsley Ofosu-Ampong, Alexander Asmah, John Amoako Kani, Dzifa Bibi

“…Based on the four determinants, a conceptual framework was developed consisting of eight proposed hypotheses tested through a structural equation model. Findings – The findings of the study indicate that technological readiness, self-efficacy and hedonic motivation significantly influence behavioural intention to adopt digital technologies for PHC training and data collection. …”
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ANALYSIS OF MUCOPOLYSACCHARIDOSIS TYPE 1 PROGRESSION BASED ON MRI DATA by E.V. Bogdanov

“…This study proposes an algorithm for automated MRI data analysis aimed at assessing the dynamics of brain structure changes in patients with MPS 1. …”

Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…To assess the quality of the synthetic data, we use quantitative metrics, including the Fréchet Inception Distance (FID), Discriminative Score, Predictive Score, Jensen–Shannon Divergence (JSD), and Kolmogorov–Smirnov (KS) test, and visually inspect temporal patterns for structural realism. …”
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Deciphering Design of Aggregation‐Induced Emission Materials by Data Interpretation by Junyi Gong, Ziwei Deng, Huilin Xie, Zijie Qiu, Zheng Zhao, Ben Zhong Tang

“…Abstract This work presents a novel methodology for elucidating the characteristics of aggregation‐induced emission (AIE) systems through the application of data science techniques. A new set of chemical fingerprints specifically tailored to the photophysics of AIE systems is developed. …”
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Influence of Nuclear Data of 56Fe on Shielding Calculation Uncertainty by LIU Zhengming, ZU Tiejun, HUANG Yihan, WU Hongchun, CAO Liangzhi

“…The nuclear data library used for shielding calculation is generated based on the evaluated nuclear data file (ENDF). …”

An AIoT Architecture for Structural Testing: Application to a Real Aerospace Component (Embraer E2 Model Aircraft Flag Track) by Pablo Venegas, Unai Virto, Isidro Calvo, Oscar Barambones

“…This study presents one AIoT architecture aimed at structurally testing aeronautical applications that ease the integration of AI techniques to interpret the data obtained by wireless IoT devices. …”
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