Dna-storalator: a computational simulator for DNA data storage by Gadi Chaykin, Omer Sabary, Nili Furman, Dvir Ben Shabat, Eitan Yaakobi

“…The rates are based on comprehensive analysis of data from previous experiments but can also be customized. …”
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Unintended Consequences of Data Sharing Under the Meaningful Use Program by Irmgard Ursula Willcockson, Ignacio Herman Valdes

“…Covered providers who fail to provide data have lower rates of reimbursement. Unintended consequences also arise at each step of the data collection process: (1) providers are not reimbursed for the extra time required to generate data; (2) patients do not have control over when and how their data are provided to or used by the government; and (3) large datasets increase the chances of an accidental data breach or intentional hacker attack. …”
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Describing the performance of U.S. hospitals by applying big data analytics. by Nicholas S Downing, Alexander Cloninger, Arjun K Venkatesh, Angela Hsieh, Elizabeth E Drye, Ronald R Coifman, Harlan M Krumholz

“…Our application of a novel graph analytics method to data describing U.S. hospitals revealed nuanced differences in performance that are obscured in existing hospital rating systems.…”
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Available data and knowledge gaps of the CESAR1 solvent system by Diego Morlando, Vanja Buvik, Asmira Delic, Ardi Hartono, Hallvard F. Svendsen, Hanne M. Kvamsdal, Eirik F. da Silva, Hanna K. Knuutila

“…There is, however, the need for high-quality pilot campaigns where all data needed for process model validation is provided for the scientific community. …”
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Hybrid Dual-Link Data Transmission Based on Internet of Vessels by Fei Li, Ying Guo, Ziqi Wang, Yuhang Chen, Jingyun Gu

“…By constructing both above-water and underwater dual-link collaborative transmission, the method effectively improves data transmission rates and stability. Additionally, a spatial crowdsourcing allocation algorithm based on Bayesian reputation selection is designed to assess the capability of ships to complete tasks, and an integrated scoring function is used to select the optimal relay ship, solving the problems of relay ship selection and transmission path selection in the data transmission process. …”
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Mixed effect gradient boosting for high-dimensional longitudinal data by Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Nada MohammedSaeed Alharbi

“…In comprehensive simulations spanning linear and nonlinear data-generating processes, MEGB achieved 35-76% lower mean squared error (MSE) compared to state-of-the-art alternatives like Mixed-Effect Random Forests (MERF) and REEMForest, while maintaining 55-70% true positive rates for variable selection in ultra-high-dimensional regimes $$(p=2000)$$ ( p = 2000 ) . …”
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Research and implementation of mobile DPI association algorithm with big data technology by Xiaosong LIU, Yi’an MA

“…In order to solve the problem of traffic usage caused by the increasing penetration rate of 4G in recent years,an algorithm that uses mobile DPI detailed bill and billing bill was proposed,and big data platform was adopted.The related processing technology implements the algorithm and shows the effect of the current network operation evaluation.…”
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Research and implementation of mobile DPI association algorithm with big data technology by Xiaosong LIU, Yi’an MA

“…In order to solve the problem of traffic usage caused by the increasing penetration rate of 4G in recent years,an algorithm that uses mobile DPI detailed bill and billing bill was proposed,and big data platform was adopted.The related processing technology implements the algorithm and shows the effect of the current network operation evaluation.…”
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Image processing algorithm of visual communication design based on deep learning in digital background by Xugang Hou, Qian Liu, Xiaoying Zhang

“…Particularly in preventing overfitting, the algorithm exhibits stronger stability and lower error rates, further validating the potential of DL applications in visual communication design and image processing. …”
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Positioning of Chinese time nouns and adverbs: Evidence from corpus, acceptability, and processing studies. by Jia Yi Chen, Ying Su, Katsuo Tamaoka

“…By integrating corpus analysis, acceptability judgments, and psycholinguistic data, this study provides a comprehensive account of how time nouns and time adverbs are positioned and processed in Chinese, offering broader implications for understanding temporal reference in tenseless languages.…”
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Data linkage of German statutory health insurance claims data and care needs assessments preceding a population-based cohort study on nursing home admission by Karin Wolf-Ostermann, Dominik Domhoff, Kathrin Seibert, Susanne Stiefler, Dirk Peschke

“…Records from two federal states could not be matched due to missing data. Linkage rates were lower where more people shared the same attributes. …”
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SPATIAL ANALYSIS OF CITIES AND AGGLOMERATIONS: INTEGRATION OF GIS AND BIG DATA TECHNOLOGIES by A. A. Cherkasov, R. K. Maxmudov, N. V. Sopnev

“…Modern GIS is an effective tool for solving the problem of processing and interpreting big data. GIS allows you to structure data and visualize it, thus obtaining a geographical interpretation of information. …”
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Experimental Determination and Comparative Analysis of the PPH030GP, ABS and PLA Polymer Strength Characteristics at Different Strain Rates by M. Yu. Zalohin, V. V. Skliarov, Ja. S. Dovzhenko, D. A. Brega

“…Printing settings are indicated in accordance with the selected mode and a 3D-printer model. As a result of data processing, strength characteristics of PPH030GP polymer and ABS and PLA polymers have been determined to a sufficient extent, depending on the direction of printing layers and rate of high-elastic deformation. …”
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Attention-based generative adversarial networks for aquaponics environment time series data imputation by Keyang Zhong, Xueqian Sun, Gedi Liu, Yifeng Jiang, Yi Ouyang, Yang Wang

“…For the imputation of missing data, over the 20%, 50% and 80% missing rate, ATTN-GAN had the lowest RMSE, 0.1593, 0.2012 and 0.2688 respectively. …”
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Diagnostic value of high-frame-rate contrast-enhanced ultrasound and contrast vector imaging for superficial lymph node lesions by Ruiying Li, Xiaofeng Lan, Xiang Xie, Jun Wu, Rui Hu, Jiale Guo

“…Abstract Purpose To explore the diagnostic performance and feasibility of high-frame-rate contrast-enhanced ultrasound (HFR CEUS) combined with contrast vector imaging (CVI) in detecting benign and malignant superficial lymph nodes (SLNs). …”
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Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line by Fabianus Kevin Senduk, Retno Waluyo, Khairunnisak Nur Isnaini

“…BI was chosen for its capability to process complex data into more accessible and actionable information for decision-making. …”
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The MHC-I-dependent neoantigen presentation pathway predicts response rate to PD-1/PD-L1 blockade by Yuchen Zhang, Chen Yang, Yanchao Xu, Xiang Jiang, Jiajun Shi, Binghua Li, Decai Yu

“…Using pan-cancer immunogenomic analyses of somatic mutation data from The Cancer Genome Atlas (TCGA) and The International Cancer Genome Consortium (ICGC), we analyzed 33 cancer types. …”
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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

“…SSPC and SSSC were the most noise-resistant approaches, maintaining testing accuracy above 90% at high noise. Augmenting acoustic data with machining parameters (cutting speed, depth, feed rate, tool type) as additional inputs could improve the model’s accuracy and convergence rate, especially for noisy data. …”
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GAN data reconstruction based prediction method of telecom subscriber loss by Kehong A, Xiaodong HU

“…Users are the core of operators’ interests.With the introduction of the policy of transferring network with a number, the competition between operators becomes more and more fierce.In order to accurately predict subscriber loss tendency in advance, a prediction method of subscriber loss based on generative adversarial network data reconstruction was proposed.Firstly, the dirty data in the telecom subscriber loss data was used by effective data preprocessing method.Secondly, the GAN was used to reconstruct the telecom subscriber loss data to solve the problem of the imbalance of the telecom subscriber loss data.Finally, extreme gradient boosting algorithm was used to train the telecom subscriber loss prediction model based on GAN reconstruction and the SMOTE sampling model based on synthetic minority oversampling technique sampling method respectively, and compare the prediction accuracy of the two models.The experimental results show that the prediction accuracy of the GAN reconstructed telecom subscriber loss prediction model is increased by 6.75%, the accuracy rate is increased by 25.91%, the recall rate is increased by 30.91%, and the F1-score is increased by 28.73% compared with the unreconstructed prediction model.This method can effectively improve the accuracy of telecom subscriber loss prediction.…”
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Data mining-based optimal assignment of apparel size for mass customization by Zhujun Wang, Cheng Chi, Mengyun Zhang, Xianyi Zeng, Pascal Bruniaux, Jianping Wang, Yingmei Xing

“…A case of mass customization for men's pants in China with 200 adult males were employed to validate and evaluate the solutions. After anthropometric data acquisition and preprocessing, three key body dimensions were identified based on hierarchical clustering, as well as their ranges and fit models. …”
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