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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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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Generalized product-sum variogram models of the data of the Center of Marine Research by Ingrida Krūminienė, Kęstutis Dučinskas

“…Therefore, it is essential to have statistical models to describe how the data vary across space and time. Structural analysis begins with estimating the space-time covariance or variogram. …”
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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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Double-path multiscale adaptive compressed sensing network for electronic data by Lubin Yu, Yongsheng Huang, Yiqiang Cheng, Qiliang Du, Zhenwei Zhou, Lianfang Tian, Shilie He, Honghui Liu

“…This network is structured around four key modules: signal compression, preprocessing, initial reconstruction, and secondary reconstruction. …”
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Genomic Data Support the Revision of Provenance Regions Delimitation for Scots Pine by Martyna Lasek, Julia Zaborowska, Bartosz Łabiszak, Daniel J. Chmura, Witold Wachowiak

“…By examining maternally inherited mitochondrial markers, nuclear microsatellite loci, and thousands of SNP markers from a genotyping array, we evaluated the genetic structure between and within them. These multilevel genomic data revealed high genetic similarity and a homogeneous structure in most populations, suggesting a common historical origin and admixture of populations after the postglacial recolonization of Central Europe. …”
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Research on Tilt Correction Algorithms of Destorted Data Matrix Code Image by GUAN Bo-yi, DONG Jing-wei, MA Xiao-feng, XU Bo

“…First, the LoG operator is used to detect the edge of the binary image, and then based on the structural features of the Data Matrix code, the location of the locator “L” is quickly determined by the Hough transform, and the “L” intersection point is expressed with two vectors. …”
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Studying Discourse from Corpus and Experimental Data: Bridging the Methodological Gap by Ludivine Crible

“…In the second part, a selection of mixed-method discourse-analytic studies is reviewed to illustrate the different ways in which corpora and experiments can interact, how much convergence (or lack thereof) can be found across production and comprehension paradigms, and the technical and methodological solutions that researchers have found to make the data as comparable as possible. This structured literature review concludes with the recommendation that discourse analysis can benefit from more mixed-method approaches, provided that the methods are planned with the respective affordances of each method in mind.…”
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Population inflow and outflow of Beijing and Shanghai based on big data analysis by Xiaojin ZHOU, Yang YAO

“…With the help of LBS big data analysis,more about population floating and its changing is know while the outcome is more accurate and its cost less than traditional population investigation or census.Analysis shows that the population size from outside province of Beijing and Shanghai remains stable with a slight decline by the end of 2015.Compared with national population census of 2010,the inflow population structure has seen a great change,the inflow population from the neighboring provinces increased a lot.To speed up the implementation of the national big data strategy,the government should promote public data sharing,attract more scholars to engage in big data analysis and help to build the country's basic population database.…”
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Integrating image segmentation and auxiliary data for efficient estimation of FVC and AGB by Xifeng Zhang, Lu Xu, Yaxiao Li, Ying Yang, Jianguo Li, Hongyuan Ma

“…In this study, we propose a fully non-destructive framework that integrates deep learning, image segmentation, vegetation indices, and structural auxiliary variables to retrieve FVC and AGB in meadow grasslands. …”
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Data-Driven Photovoltaic System Modeling Based on Nonlinear System Identification by Ayedh Alqahtani, Mohammad Alsaffar, Mohamed El-Sayed, Bader Alajmi

“…The data are divided into estimation and validation sets. …”
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Data aggregation scheduling algorithm based on twice maximum independent set by Jian XU, Geng YANG, Zheng-yu CHEN, Hai-yong WANG, Zhen YANG

“…The main task in designing a data aggregation schedule was to get a good trade-off between QoS and weighted fairness guarantee.In order to address this problem,a novel data aggregation scheduling algorithm,MISS,was proposed,which could produce a collision-free TDMA schedule for data aggregation based on twice Maximum Independent Set (MIS).In the first phase,a tree structure based on MIS was constructed,and then it was adjusted according to the energy consumption forecast of each node,forming the balanced data aggregation tree.In the second phase,the approximate maximum weighted Independent set (WMIS) was utilized of all selected links to allocate time slots for each communication link.The results of simulation demonstrate that MISS not only improves the aggregation delay and lifetime of the network,but also gives weighted fairness guarantee.…”
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Research and implementation on acquisition scheme of telecom big data based on Hadoop by Baoyou WANG, Jing QIAN, Shijin YUAN

“…ETL is a very important step in the implementation process of data warehouse.A good ETL flow is important,which can effectively process the telecom big data and improve the acquisition efficiency of the operation platform.Firstly,the main data content of the big data platform was expounded.Secondly,in order to improve the efficiency of massive data collection,Hadoop and Oracle mashup solution was suggested.Subsequently,a dynamic triggered ETL scheduling flow and algorithm was proposed.Compared with timer start ETL scheduling method,it could effectively shorten waiting time and avoid the phenomenon of resources to seize and congestion.Finally,according to the running log of Hadoop platform and Oracle database,the relationship between acquisition efficiency and data quantity was analyzed comparatively.Furthermore,practice result shows that the hybrid data structure of the big data platform complement each other and can effectively enhance the timeliness of data collection and access better application effect.…”
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Value mining and application of big data in enterprise power credit investigation by Baojiang XIN, Dewen LI, Lanlan WANG

“…Aiming at the shortcomings of traditional power credit investigation platform such as insufficient stability and low test accuracy, a big data power credit investigation platform was designed.The online analytical method was used to analyze power big data, which was divided into four categories: user behavior, expense rules, user value and personal credit.Based on the modular structure, the data acquisition module, data analysis module and user interaction module were optimized respectively.The KNN and cross validation method were used to classify and process the power consumption data, and the regional power consumption law was obtained, so as to design and adjust the distribution scheme.Finally, the platform was compared with the traditional power credit investigation platform.The experimental results show that the stability and accuracy of the platform are improved, and the accuracy is as high as 98.9% during the test.…”
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Voxel-based vegetation change detection using multi-source data by D. Acharya, B. Gorte, M. Zhang, D. Yang, W. Shi, S. Zlatanova, S. Zlatanova, M. Wachowicz

“…This study presents a voxel-based approach to vegetation change detection from multi-source datasets, including laser scanning and 2D shape files from different years. A novel Octree data structure is utilised in this work that supports different operations for efficient vegetation change. …”
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Vehicle trajectory reconstruction from automatic license plate reader data by Haiyang Yu, Shuai Yang, Zhihai Wu, Xiaolei Ma

“…In order to learn the vehicle travel characteristics in the city of Ruian, we developed a common methodology for structuring travelers’ complete information using the travel time threshold to recognize a single trip based on the automatic license plate reader data and built a trajectory reconstruction model integrated into the technique for order preference by similarity to an ideal solution and depth-first search to manage the vehicles’ incomplete records phenomenon. …”
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