Revisiting the history of the Ostrusha Tomb: new data from pottery deposits by Chavdar Tzochev

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Revisiting the history of the Ostrusha Tomb: new data from pottery deposits by Chavdar Tzochev

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Dual Partial Reversible Data Hiding Using Enhanced Hamming Code by Cheonshik Kim, Ching-Nung Yang, Lu Leng

“…Traditional reversible data hiding (RDH) methods prioritize the exact recovery of the original cover image; however, this rigidity often hinders both capacity and design flexibility. …”
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A Data-Driven Assessment of Redesign Initiatives in Financial Management Processes by George Tsakalidis, Kostas Vergidis

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Effect of crystal-to-detector distance shift on data processing in serial crystallography. by Ki Hyun Nam

“…For HEWL processed via MOSFLM, structure refinement statistics maintained acceptable Rfree values despite a ± 10 mm deviation; however, data quality deteriorated with increasing deviation from the actual CTDD. …”
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Database Systems in the Big Data Era: Architectures, Performance, and Open Challenges by Elias Dritsas, Maria Trigka

“…The classification of databases based on data models, deployment strategies, scalability mechanisms, and consistency models is explored in depth, providing a structured framework for understanding their diverse capabilities. …”
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Construction of application platform for operational data of natural gas pipeline network by Hongtao DIAO, Weichao YU, Kaihong WANG, Huai SU, Yi ZHANG, Zhaoming YANG

“…Methods The underlying data structure of this platform was constructed using a relational database, fully leveraging the automated data acquisition process and remote control technology of key equipment. …”
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Adaptive dynamic prediction model of mining subsidence aided by measured data by Yuanfei Chen, Jianfeng Zha, Lei Wang

“…In response to the limitations of traditional time function and parameter models in adapting to the dynamic changes of actual underground mining activities—resulting in low subsidence prediction accuracy—this paper presents an adaptive prediction model for dynamic subsidence supported by measured data and developed through programming. This model utilizes historically measured data on surface subsidence to derive optimal parameters for each historical period. …”
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Conceptualization and scale development for big data-based learning organization capability by Nesrin Alkan, Deniz Ersan Yilmaz, Bilal Baris Alkan

“…In the second phase, Confirmatory Factor Analysis (CFA) was applied to an independent sample (n = 128) to validate the scale's structure and its alignment with the theoretical model.ResultsThe EFA results revealed a clear three-factor structure, and the CFA confirmed the model's fit to the data, demonstrating good psychometric properties. …”
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Data Acquisition System for AC-drive Test Based on LabVIEW by 蒋骊湘, 陈高华, 刘护林

“…This paper introduced the hardware structure and the software design of data acquisition system for AC-drive test based on LabVIEW and proposed a method to realize high-speed continuous data storage and data preprocess in LabVIEW. …”
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Changes in the Intestinal Microbiota in Patients with Chronic Pancreatitis: Systematizing Literature Data by I. V. Maev, A. I. Levchenko, D. N. Andreev

“…To systematize literature data on changes in the structure of the intestinal microbiota in patients with chronic pancreatitis (CP).Key findings. …”
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InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data by Dor Tsur, Haim Permuter

“…By mapping visual patterns in InfoMat to various modes of dependence structures, we provide a data-driven framework for analyzing causal relationships and temporal interactions. …”
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Transmuted exponential-compound Weibull distribution for modelling of positively skewed data by Nnaemeka Martin Eze, Waheed Babatunde Yahya

“…The new model is characterized by a flexible structure ideal for analyzing positive data and featuring a hazard rate function that has bathtub shaped which makes it to offer more flexibility to solve the problem of elongation and asymmetry than the competing distributions. …”
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Deep Learning-Based Interpolation for Ground Penetrating Radar Data Reconstruction by Ziyang Zhou, Meijia Huang, Hong Xu, Xinyu Yang, Yinpeng Li, Zhuo Jia

“…The method exhibits strong adaptability and high-precision performance, making it effective in complex underground structures and varying environments. Whether with synthetic or real-world data, deep learning provides a reliable solution for GPR data processing.…”
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Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach by Meng Zhang, Joel Parker, Lingling An, Yiwen Liu, Xiaoxiao Sun

“…Extensive simulation studies have shown that FAST outperforms other existing reference-free methods. In real data applications, FAST is able to uncover the underlying tissue structures and identify the corresponding marker genes.…”
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Data-driven prediction and design of bZIP coiled-coil interactions. by Vladimir Potapov, Jenifer B Kaplan, Amy E Keating

“…Selective dimerization of the basic-region leucine-zipper (bZIP) transcription factors presents a vivid example of how a high degree of interaction specificity can be achieved within a family of structurally similar proteins. The coiled-coil motif that mediates homo- or hetero-dimerization of the bZIP proteins has been intensively studied, and a variety of methods have been proposed to predict these interactions from sequence data. …”
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Machine learning and data-driven methods in computational surface and interface science by Lukas Hörmann, Wojciech G. Stark, Reinhard J. Maurer

“…Abstract Machine learning and data-driven methods have started to transform the study of surfaces and interfaces. …”
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HARMONIZATION OF HISTORICAL DATA AND EXPERT MODELS FOR FORECASTING DEMAND FOR RAIL TRANSPORTATION by A. Zamkovoy, S. Kudiyarov, R. Martyshkin, V. Strizhov

“…The structure of historical data, time series of freight traffic volumes, as well as relationship with expert models is described.…”
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Application of inspection robot in internet data center intelligent operation and maintenance by Xiaosong LIU, Ting HUANG

“…The operation and maintenance of the internet data center (IDC) is critical and arduous.Operators urgently need to consider how to introduce inspection robots to improve the level of intelligent operation and maintenance.The development status and technology maturity of the inspection robot industry were introduced and the overall structure of the inspection robot data acquisition system was proposed.Combining with the actual network demand of data center inspection robots,technical breakthroughs in intelligent operation and maintenance of data centers and mining and application of collected data were discussed in depth.…”
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Application of inspection robot in internet data center intelligent operation and maintenance by Xiaosong LIU, Ting HUANG

“…The operation and maintenance of the internet data center (IDC) is critical and arduous.Operators urgently need to consider how to introduce inspection robots to improve the level of intelligent operation and maintenance.The development status and technology maturity of the inspection robot industry were introduced and the overall structure of the inspection robot data acquisition system was proposed.Combining with the actual network demand of data center inspection robots,technical breakthroughs in intelligent operation and maintenance of data centers and mining and application of collected data were discussed in depth.…”
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