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Articoli di riviste sul tema "Data loading"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Sandhya Kona, Sree. "Optimizing Data Loading in HDFS: Optimization Techniques for Loading Data into Hadoop Distributed File System (HDFS) Efficiently, Considering Factors such as Data Locality and Parallelism." International Journal of Science and Research (IJSR) 8, no. 1 (2019): 2267–70. http://dx.doi.org/10.21275/sr24529171412.

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2

Patel, Jigna, Priyanka Sharma, and Jitali Patel. "Big Data Harmonization-Data Loading and Data Storage." Journal of Engineering and Applied Sciences 14, no. 20 (2019): 7731–35. http://dx.doi.org/10.36478/jeasci.2019.7731.7735.

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3

Borgida, Alex, and Ronald J. Brachman. "Loading data into description reasoners." ACM SIGMOD Record 22, no. 2 (1993): 217–26. http://dx.doi.org/10.1145/170036.170073.

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4

Szalay, Alex, Ani R. Thakar, and Jim Gray. "The sqlLoader Data-Loading Pipeline." Computing in Science & Engineering 10, no. 1 (2008): 38–48. http://dx.doi.org/10.1109/mcse.2008.18.

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5

Conle, F. A. "Materials data for cyclic loading." Materials Science and Engineering: A 119 (November 1989): 246–47. http://dx.doi.org/10.1016/0921-5093(89)90546-7.

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6

Vitagliano, Gerardo, Mazhar Hameed, Lan Jiang, Lucas Reisener, Eugene Wu, and Felix Naumann. "Pollock: A Data Loading Benchmark." Proceedings of the VLDB Endowment 16, no. 8 (2023): 1870–82. http://dx.doi.org/10.14778/3594512.3594518.

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Any system at play in a data-driven project has a fundamental requirement: the ability to load data. The de-facto standard format to distribute and consume raw data is csv. Yet, the plain text and flexible nature of this format make such files often difficult to parse and correctly load their content, requiring cumbersome data preparation steps. We propose a benchmark to assess the robustness of systems in loading data from non-standard csv formats and with structural inconsistencies. First, we formalize a model to describe the issues that affect real-world files and use it to derive a systema

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Sree, Sandhya Kona. "Evaluating Database Ingestion Techniques for Big Data: Performance, Scalability, and Use Case Suitability." Journal of Scientific and Engineering Research 9, no. 11 (2022): 292–97. https://doi.org/10.5281/zenodo.13337701.

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The exponential growth of big data across various industries has necessitated the development of efficient and robust data ingestion techniques. These techniques are pivotal in ensuring that data pipelines are scalable, performant, and aligned with the specific needs of business applications. This article provides a comparative analysis of three primary database ingestion techniques: batch loading, incremental loading, and Change Data Capture (CDC). Each method offers distinct advantages and challenges, making them suitable for different types of use cases in handling big data. This analysis e

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8

van Renen, Alexander, Mihail Stoian, and Andreas Kipf. "DataLoom: Simplifying Data Loading with LLMs." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4449–52. http://dx.doi.org/10.14778/3685800.3685897.

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Schema discovery and data loading is a crucial step in any data analysis pipeline. While this used to be a rare task, in the highly dynamic field of machine learning and modern business intelligence on top of data lakes, today it has become a frequent, but often underestimated, activity. Existing tools often focus on single files, presume prior knowledge of the data on the user's side or a significant amount of manual labor. In this paper, we improve the process of mapping a "chaotic" set of files to an initial database schema that can then be iteratively refined and loaded. The idea is to tak

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9

Papadopoulos, Apostolos, and Yannis Manolopoulos. "Parallel bulk-loading of spatial data." Parallel Computing 29, no. 10 (2003): 1419–44. http://dx.doi.org/10.1016/j.parco.2003.05.003.

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10

Bezverkhy, O., L. Zinchuk, and V. Karlash. "Modeling of the piezoceramic resonator electric loading conditions based on experimental data." Mathematical Modeling and Computing 2, no. 2 (2015): 115–27. http://dx.doi.org/10.23939/mmc2015.02.115.

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11

G R, Yathiraj, and T. D Roopamala. "Re - Ranking Technique for Nearest Identification Set Search in Multi Identification Data Sets on Encipher Data Loading." International Journal of Science and Research (IJSR) 10, no. 9 (2021): 637–42. https://doi.org/10.21275/sr21907144641.

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12

Beasley, E. L., M. A. Hiller, and R. B. Biggs. "Susceptibility of U.S. Estuaries to Pollution." Water Science and Technology 20, no. 6-7 (1988): 211–19. http://dx.doi.org/10.2166/wst.1988.0205.

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Utilizing data primarily from the U.S. Department of Commerce, both estuaries and watersheds for 78 U.S. systems are analyzed. Watersheds are classified according to total population and discrete subpopulations. The Vollenweider approach, which compares hydraulic loading to nutrient loading of lakes, is adapted to estuaries. By considering total population as a surrogate of point source nutrients, agricultural workers as a surrogate of non-point source toxics and nutrients and chemical + metal workers as a surrogate of point source toxics, we can estimate potential anthropogenic impacts on wat

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13

Castrellon, Juan Pablo, Ivan Sanchez-Diaz, and Jorge Gil. "Smart loading zones. A data analytics approach for loading zones network design." Transportation Research Interdisciplinary Perspectives 24 (March 2024): 101034. http://dx.doi.org/10.1016/j.trip.2024.101034.

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14

Berto, Filippo, MR Ayatollahi, and A. Campagnolo. "Fracture tests under mixed mode I + III loading: An assessment based on the local energy." International Journal of Damage Mechanics 26, no. 6 (2016): 881–94. http://dx.doi.org/10.1177/1056789516628318.

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In this paper, some recent data exploring mixed mode I + III fracture of cracked polymethyl methacrylate specimens are re-analysed in terms of the local energy. The data have been obtained by using a new loading fixture proposed for exploring mixed mode I + III fracture experimentally. While a large bulk of experimental results from cracked specimens of polymethyl methacrylate under pure modes of loading, in particular under mode I loading, can be found in the literature, only very few tests have been carried out considering multiaxial static loadings, and for this reason, only limited studies

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15

Gill, Brian J. "Wing areas and wing loadings of New Zealand land birds." Notornis 70, no. 2 (2023): 74. https://doi.org/10.63172/252935qaydpj.

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Wing areas and wing loadings of New Zealand land birds are poorly documented in the literature. I therefore report measured wing areas of 84 individual birds belonging to 27 species, with calculated wing loadings. Plotting the data graphically allows some ecological inferences. Heavier New Zealand land birds achieve greater wing loadings than lighter species, as is the case for birds generally. For flying birds, small passerines had the lowest wing loadings (0.12 g/cm2 for the New Zealand fantail) and heavier non-passerines the highest wing loadings (0.88 g/cm2 for the pukeko). I expected non-

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16

Haitao Liu, and Dongli Yue. "Hospital Data Loading Agent Based on HL7." Journal of Convergence Information Technology 7, no. 10 (2012): 412–20. http://dx.doi.org/10.4156/jcit.vol7.issue10.49.

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17

Liang, Xinya. "Prior Sensitivity in Bayesian Structural Equation Modeling for Sparse Factor Loading Structures." Educational and Psychological Measurement 80, no. 6 (2020): 1025–58. http://dx.doi.org/10.1177/0013164420906449.

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Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both variable selection and model estimation. The prior sensitivity in BSEM-N was explored in factor analysis models with sparse loading structures through a simulation study (Study 1) and an empirical example (Study 2). Study 1 examined the prior sensitiv

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Fisher, J., and M. C. Acreman. "Wetland nutrient removal: a review of the evidence." Hydrology and Earth System Sciences 8, no. 4 (2004): 673–85. http://dx.doi.org/10.5194/hess-8-673-2004.

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Abstract. Data from 57 wetlands from around the world have been collated to investigate whether wetlands affect the nutrient loading of waters draining through them; the majority of wetlands reduced nutrient loading and there was little difference in the proportion of wetlands that reduced N to those that reduced P loading. However, some wetlands increase nutrient loadings by increasing the loading of soluble N and P species thus potentially driving aquatic eutrophication. Studies conducted over a period of a year or more, or that involved frequent sampling during high flow events, were more l

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19

Luo, Jiesi, Wei Chen, Jim Ray, Tonie van Dam, and Jiancheng Li. "A Loading Correction Model for GPS Measurements Derived from Multiple-Data Combined Monthly Gravity." Remote Sensing 13, no. 21 (2021): 4408. http://dx.doi.org/10.3390/rs13214408.

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Time-dependent loading deformations of the Earth’s surface, due to nontidal changes in the atmosphere, ocean, land water/ice, etc., contribute significantly to the seasonal and secular Global Positioning System (GPS) site displacements, especially for the up component. While loading deformations derived from general circulation model (GCM) outputs are usually used to correct loading signals in the GPS site displacements, this study aims to provide a loading correction model based on the multiple-data combined monthly gravity products LDCmgm90. We have adopted GPS measurements from 249 IGS refe

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20

Salman, Alaa Dawood, and Ali Hamoudi. "Analytical Approach for Load Capacity of Large Diameter Bored Piles Using Field Data." Journal of Engineering 21, no. 8 (2015): 40–54. http://dx.doi.org/10.31026/j.eng.2015.08.03.

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An analytical approach based on field data was used to determine the strength capacity of large diameter bored type piles. Also the deformations and settlements were evaluated for both vertical and lateral loadings. The analytical predictions are compared to field data obtained from a proto-type test pile used at Tharthar –Tigris canal Bridge. They were found to be with acceptable agreement of 12% deviation. Following ASTM standards D1143M-07e1,2010, a test schedule of five loading cycles were proposed for vertical loads and series of cyclic loads to simulate horizontal loading .The load

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21

Mitchell, Robert J., and B. Ian Dubin. "Pore pressure generation and dissipation in dense sands under cyclic loading." Canadian Geotechnical Journal 23, no. 3 (1986): 393–98. http://dx.doi.org/10.1139/t86-055.

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A triaxial test system capable of subjecting samples of saturated soil to load controlled cyclic loading under various conditions of drainage is described. The system was used to apply cyclic loading, from compression to extension, at a frequency of 0.06 Hz (4 cycles/min) on a relatively dense saturated sand. This relatively low loading frequency is considered applicable to problems associated with wave or wind loadings.The results of a series of undrained cyclic loading tests are presented. This data generally supports concepts developed by previous research on cyclic loadings of sands.Partia

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22

Wang, Jian, Xiaolin Meng, Changbiao Qin, and Jiaohong Yi. "Vibration Frequencies Extraction of the Forth Road Bridge Using High Sampling GPS Data." Shock and Vibration 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/9807861.

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This paper proposes a scheme for vibration frequencies extraction of the Forth Road Bridge in Scotland from high sampling GPS data. The interaction between the dynamic response and the ambient loadings is carefully analysed. A bilinear Chebyshev high-pass filter is designed to isolate the quasistatic movements, the FFT algorithm and peak-picking approach are applied to extract the vibration frequencies, and a GPS data accumulation counter is suggested for real-time monitoring applications. To understand the change in the structural characteristics under different loadings, the deformation resu

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23

Yap, J. S., M. H. Lim, and M. Salman Leong. "Bearing Health Evaluation Model using Segmentive Technique and Cosine KNN in Different Loading Situations." ITM Web of Conferences 63 (2024): 01004. http://dx.doi.org/10.1051/itmconf/20246301004.

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Bearing faults are a common cause of machinery failure, and bearing vibration analysis is critical in preventing any unacceptable consequences of such failures. Advancements in smart data and computing make Artificial Intelligence (AI) preferable for bearing vibration analysis. Typically, signal processing and feature engineering are essential for achieving satisfactory classification accuracy. Additionally, a drop in classification accuracy is commonly observed during different loading situations due to the vastly varying vibration characteristics under different loads. This paper evaluates a

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24

deBarbadillo, C., B. Sabherwal, A. Shaw, and P. Schauer. "Application and comparison of dynamic models to assess impact of loading variations on performance of denitrification filters." Water Science and Technology 60, no. 7 (2009): 1721–29. http://dx.doi.org/10.2166/wst.2009.222.

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Dynamic models were developed using two software packages to evaluate performance of a denitrification filter pilot under variable flow and nitrate loading conditions. Two data periods, including one at constant rate hydraulic loading and one under diurnal flow conditions, were used to calibrate the models. Two additional test periods, one with high nitrate loadings and the second with peak hydraulic loadings and intermittent methanol usage were used to validate the models. The paper presents the results and compares the features of the two models.

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25

Sreerama Murty, M., and N. Naga MalleswaraRao. "Loading, searching and retrieving data from local data nodes on HDFS." International Journal of Data Science 5, no. 1 (2020): 41. http://dx.doi.org/10.1504/ijds.2020.10031620.

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Murty, M. Sreerama, and N. Naga MalleswaraRao. "Loading, searching and retrieving data from local data nodes on HDFS." International Journal of Data Science 5, no. 1 (2020): 41. http://dx.doi.org/10.1504/ijds.2020.109495.

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27

El-Shaarawi, A. H., and D. M. Dolan. "Maximum Likelihood Estimation of Water Quality Concentrations from Censored Data." Canadian Journal of Fisheries and Aquatic Sciences 46, no. 6 (1989): 1033–39. http://dx.doi.org/10.1139/f89-134.

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Concentration data for water quality parameters reported as less than the detection limit (DL) may be considered to have come from a censored probability distribution. Traditionally, if it was necessary to assign a value to a sample reported as less than DL, various ad hoc methods were used such as selecting arbitrary values (0, 1/2 DL, DL, etc.). As analytical methods improved, DL's became smaller and the choice of ad hoc methods had less of an effect. However, there are two cases where the choice of estimation method is still a problem: (1) it is desired to calculate a differential loading (

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28

Goyal, Shubh. "Using HDFS to Load, Search, and Retrieve Data from Local Data Nodes." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 656–59. http://dx.doi.org/10.22214/ijraset.2021.38877.

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Abstract: By utilizing the Hadoop environment, data may be loaded and searched from local data nodes. Because the dataset's capacity may be vast, loading and finding data using a query is often more difficult. We suggest a method for dealing with data in local nodes that does not overlap with data acquired by script. The query's major purpose is to store information in a distributed environment and look for it quickly. In this section, we define the script to eliminate duplicate data redundancy when searching and loading data in a dynamic manner. In addition, the Hadoop file system is availabl

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Fannin, R. J., and S. Hermann. "Performance data for a sloped reinforced soil wall." Canadian Geotechnical Journal 27, no. 5 (1990): 676–86. http://dx.doi.org/10.1139/t90-080.

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A sloped reinforced soil wall, comprising two sections with a different arrangement and spacing of geogrid reinforcement, was built and monitored for loading conditions of self-weight, a cycle of surcharge load, and permanent surcharge loading of the wall crest. Instrumentation was used to measure force and strain in the reinforcement, soil strain and temperature, and earth pressure. Performance data are reported for a period of 20 months following completion of construction and describe the response to loading. Interpretation of the data addresses properties of the reinforcement and soil whic

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Pentakota, Venkata Prasanna Kumar. "OPTIMIZING LARGE-SCALE DATA LOADING THROUGH TABLE PARTITIONING." INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY 8, no. 1 (2025): 1433–51. https://doi.org/10.34218/ijrcait_08_01_106.

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Jung, SeungHwan. "Solving Container Loading Problem by Data Analytics Method." Journal of the Korea Management Engineers Society 27, no. 4 (2022): 193–204. http://dx.doi.org/10.35373/kmes.27.4.12.

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AR, Ashar, Hamma Hamma, Wisna Saputri Alfira WS, Andarini Asri, and Ardiyansyah Ardiyansyah. "Analisis Efisiensi Generator Pada GT21 Blok 2 Pembangkit Listrik Tenaga Gas Dan Uap PT. CEPA Sengkang." Jurnal Teknologi Elekterika 19, no. 2 (2022): 130. http://dx.doi.org/10.31963/elekterika.v6i2.3805.

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PLTGU Sengkang which is operated by PT. CEPA Sengkang with a total capacity of 315 MW. One of the important components in the PLTGU system is a generator. In a generator there are many problems that arise, including generator efficiency problems. The research that will be carried out is to determine the generator efficiency value and then determine how much the generator efficiency value increases. In finding the efficiency value by making daily and monthly loading curves using generator output power, generator input power data, generator nameplate and generator power losses at 25%, 50%, 75%,

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Carpenter, Chris. "Data-Driven Approach Enhances Liquid-Loading Detection and Prediction." Journal of Petroleum Technology 76, no. 08 (2024): 91–94. http://dx.doi.org/10.2118/0824-0091-jpt.

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_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 218841, “A Data-Driven Journey Into Liquid-Loading Detection and Prediction,” by Utkarsh Sinha, Prithvi Singh Chauhan, and Hardikkumar Zalavadia, SPE, Xecta Digital Labs, et al. The paper has not been peer reviewed. _ Liquid loading is a persistent challenge in onshore and offshore gas wells, particularly at low gas rates. Empirical correlations are used commonly to detect liquid loading, but this method often lacks precision in field applications because of oversimplified assumptions regarding l

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Beauducel, André, and Martin Kersting. "Identification of Facet Models by Means of Factor Rotation: A Simulation Study and Data Analysis of a Test for the Berlin Model of Intelligence Structure." Educational and Psychological Measurement 80, no. 5 (2020): 995–1019. http://dx.doi.org/10.1177/0013164420909162.

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We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor analysis with subsequent Varimax, Equamax, Parsimax, Factor Parsimony, Tandem I, Tandem II, Infomax, and McCammon’s minimum entropy rotation. Samples drawn from oblique populations were submitted to factor analysis with subsequent Geomin rotation and a P

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Velin, Kralev, Kraleva Radoslava, and Koprinkova-Hristova Petia. "Data modelling and data processing generated by human eye movements." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4345–52. https://doi.org/10.11591/ijece.v11i5.pp4345-4352.

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Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the te

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Ahmad Rasyid, Mohd Fadli, Md Akil Hazizan, and Jamaliah Mohd Sharif. "Effect of Organic Modification of Muscovite on the Polypropylene Layered Silicate Nanocomposite." Key Engineering Materials 471-472 (February 2011): 197–202. http://dx.doi.org/10.4028/www.scientific.net/kem.471-472.197.

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Polypropylene- layered silicate nanocomposite based on muscovite was prepared via melt compounding. Muscovite was organomodified with cetyltrimethylammoniumbromide (CTAB) by using different filler loading. The effects of muscovite content on mechanical and morphology properties were evaluated. Analysis of test data showed that the mechanical properties increased with an increase in filler loading up to a threshold of 3 wt%; thereafter the material properties were degraded. The enhancement of properties attributed to the formation of intercalated and exfoliation nanocomposite structure at these

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Wang, Tianyou, Yongtai Lin, Yinglan Liang, Tao Yang, and Yuhan Li. "Chemical Synthesis Data Modeling Based on Mathematical Optimization." Wireless Communications and Mobile Computing 2022 (June 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/9538852.

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As one of the most important high value-added raw materials in the chemical industry, the synthesis of C4 Olefin by ethanol coupling was of great significance in the field of the chemical industry. Different catalysts and various conditions have different effects on the chemical reaction. This paper is based on the relevant data set. Firstly, Pearson and Spearman correlation coefficient method and corresponding hypothesis test are used to get the influence of different catalysts on the chemical reaction. Ethanol conversion and C4 Olefin selectivity are positively correlated with temperature. S

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Dr. K, Uma Pavan Kumar, and Dr Lakshma Reddy Bhavanam. "Usage of HIVE Tool in Hadoop ECO System with Loading Data and User Defined Functions." International Journal of Psychosocial Rehabilitation 24, no. 04 (2020): 1058–62. http://dx.doi.org/10.37200/ijpr/v24i4/pr201080.

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Sree, Sandhya Kona. "Evaluating Database Ingestion Techniques for Big Data: Performance, Scalability, and Use Case Suitability." Journal of Scientific and Engineering Research 9, no. 11 (2022): 292–97. https://doi.org/10.5281/zenodo.12771975.

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Abstract (sommario):

The exponential growth of big data across various industries has necessitated the development of efficient and robust data ingestion techniques. These techniques are pivotal in ensuring that data pipelines are scalable, performant, and aligned with the specific needs of business applications. This article provides a comparative analysis of three primary database ingestion techniques: batch loading, incremental loading, and Change Data Capture (CDC). Each method offers distinct advantages and challenges, making them suitable for different types of use cases in handling big data. This analysis e

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Nurse, Cameron A., Katherine M. Rodzak, Peter Volgyesi, Brian Noehren, and Karl E. Zelik. "Using Fitness Tracker Data to Overcome Pressure Insole Wear Time Challenges for Remote Musculoskeletal Monitoring." Sensors 24, no. 23 (2024): 7717. https://doi.org/10.3390/s24237717.

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Tibia shaft fractures are common lower extremity fractures that can require surgery and rehabilitation. However, patient recovery is often poor, partly due to clinicians’ inability to monitor bone loading, which is critical to stimulating healing. We envision a future of patient care that includes at-home monitoring of tibia loading using pressure-sensing insoles. However, one issue is missing portions of daily loading due to limited insole wear time (e.g., not wearing shoes all day). Here, we introduce a method for overcoming this issue with a wrist-worn fitness tracker that can be worn all d

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Ko, Soo Jeong, Sang Jun Park, and Dong-Jin Chang. "Experience of Converting Clinical Data Warehouse to Common Data Model and Additional Data Loading." Health Insurance Review & Assessment Service Research 1, no. 2 (2021): 179–95. http://dx.doi.org/10.52937/hira.21.1.2.179.

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Ellyin, Fernand, and Zihui Xia. "Nonlinear Viscoelastic Constitutive Model for Thermoset Polymers." Journal of Engineering Materials and Technology 128, no. 4 (2006): 579–85. http://dx.doi.org/10.1115/1.2345450.

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A nonlinear viscoelastic constitutive model, in differential form, is presented based on the deformation characteristics of thermoset polymers under complex loadings. This rheological model includes a criterion to delineate loading and unloading in multiaxial stress states, and different moduli for loading and unloading behaviors. The material constants and functions of this model are calibrated in accordance with a well-defined procedure. The model predictions are compared with the experimental data of an epoxy polymer subjected to uniaxial and biaxial stress states with monotonic and cyclic

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Bilal, Ahmed Khan, and Malviya Pratiksha. "A Review of Roadway Culverts as per I.R.C. Loading." Journal of Transportation Systems 4, no. 1 (2019): 1–9. https://doi.org/10.5281/zenodo.2531424.

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Culverts are ideally suitable structures across a highway or railway embankment to balance the flood water on both sides. This research work presents the results of a parametric investigation of two types of reinforced concrete culverts subject to various loadings conditions for Bhopal using finite element method. The dimensions of culverts had same span and width. The vehicle loads were projected on the top slab using I.R.C. specifications for 70R class a loading. Hydraulic pressure was applied on the vertical wall which depends on the depth of the culvert which is calculated as per topograph

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Jensen, Alexandria K., and William I. Ford. "Quantifying Nitrate Dynamics of a Confluence Floodplain Wetland in a Disturbed Appalachian Watershed: High-Resolution Sensing and Modeling." Transactions of the ASABE 62, no. 6 (2019): 1545–65. http://dx.doi.org/10.13031/trans.13278.

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Abstract. Floodplain wetlands often form at confluences of main river channels and small, low-order tributary streams, yet their impact on nutrient removal and downstream loading is poorly understood. We coupled high-resolution water quality data with deterministic numerical modeling of hydrologic, hydraulic, and biochemical processes impacting nitrate fate and transport in a confluence floodplain wetland along the Ohio River from June 2017 to May 2018. The modeling results were used to quantify loading from a disturbed forested watershed (Fourpole Creek watershed) and the nitrate removal capa

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45

Spengler, Helmut, Claudia Lang, Tanmaya Mahapatra, Ingrid Gatz, Klaus A. Kuhn, and Fabian Prasser. "Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation." JMIR Medical Informatics 8, no. 7 (2020): e15918. http://dx.doi.org/10.2196/15918.

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Background Modern data-driven medical research provides new insights into the development and course of diseases and enables novel methods of clinical decision support. Clinical and translational data warehouses, such as Informatics for Integrating Biology and the Bedside (i2b2) and tranSMART, are important infrastructure components that provide users with unified access to the large heterogeneous data sets needed to realize this and support use cases such as cohort selection, hypothesis generation, and ad hoc data analysis. Objective Often, different warehousing platforms are needed to suppor

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46

Badachhape, Abhaya (Ajay) R. "A simple QC methodology for common seismic data and data loading problems." Leading Edge 20, no. 12 (2001): 1364–68. http://dx.doi.org/10.1190/1.1487266.

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47

Salaki, R. J., J. Waworuntu, and I. R. H. T. Tangkawarow. "Extract transformation loading from OLTP to OLAP data using pentaho data integration." IOP Conference Series: Materials Science and Engineering 128 (April 2016): 012020. http://dx.doi.org/10.1088/1757-899x/128/1/012020.

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48

Badachhape, Abhaya (Ajay) R. "A simple QC methodology for common seismic data and data loading problems." Leading Edge 21, no. 1 (2002): 58–107. http://dx.doi.org/10.1190/1.1445849.

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49

Yamamoto, Hiroyuki, Yasumune Nakayama, and Hiroshi Tsugawa. "OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data." Metabolites 11, no. 3 (2021): 149. http://dx.doi.org/10.3390/metabo11030149.

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Abstract (sommario):

Principal component analysis (PCA) has been widely used in metabolomics. However, it is not always possible to detect phenotype-associated principal component (PC) scores. Previously, we proposed a smoothed PCA for samples acquired with a time course or rank order, but hypothesis testing to select significant metabolite candidates was not possible. Here, we modified the smoothed PCA as an orthogonal smoothed PCA (OS-PCA) so that statistical hypothesis testing in OS-PC loadings could be performed with the same PC projections provided by the smoothed PCA. Statistical hypothesis testing is especi

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50

Zhang, Rufeng, Liancong Luo, Min Pan, et al. "Estimations of Water Volume and External Loading Based on DYRESM Hydrodynamic Model at Lake Dianchi." Water 14, no. 18 (2022): 2832. http://dx.doi.org/10.3390/w14182832.

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There are many rivers flowing from complex paths into Lake Dianchi. At present, there is a lack of inflow and water quality monitoring data for some rivers, resulting in limited accuracy of statistical results regarding water volume and external loading estimations. In this study, we used DYRESM to estimate the water volume entering Waihai of Lake Dianchi from 2007 to 2019 without historical hydrological observation data. Then, we combined this information with the monthly monitoring data of water quality to calculate the annual external loading. Our results showed that: (1) DYRESM could effec

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