Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium by Robyn Donrovich, Paul Puschmann, Koen Matthijs

“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium by Robyn Donrovich, Paul Puschmann, Koen Matthijs

“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium by Robyn Donrovich, Paul Puschmann, Koen Matthijs

“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium by Robyn Donrovich, Paul Puschmann, Koen Matthijs

“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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High-Speed Transmission and Mass Data Storage Solutions for Large-Area and Arbitrarily Structured Fabrication through Maskless Lithography by Yu Lu, Wei Wu, Ke-yi Wang

“…In addition, control of laser beam power, collection of status read back data of the lithography laser through an analog-to-digital converter, and synchronization of the positioning signal were implemented on the same FPGA. A data structure for each unit with a unique exposure dose and other necessary information was established. …”
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An Adaptive Parallel Method for Indexing Transportation Moving Objects by Kun-lun Chen, Chuan-wen Li, Guang Lu, Jia-quan Li, Tong Zhang

“…To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the GPU. …”
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The Development of Microhistorical Databases in Norway. A Historiography by Gunnar Thorvaldsen, Lars Holden

“…Longitudinal data is available for searching as timelines and in Intermediate Data Structure format from UiT The Arctic University and for searching at Histreg.no, which also caters for manual editing. …”
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Generating Irregular Models for 3D Spherical-Particle-Based Numerical Methods by Gang-Hai Huang, Yu-Yong Jiao, Xiu-Li Zhang, Amoussou-Coffi Adoko, Shu-Cai Li

“…The results demonstrate that an extremely irregular 3D model of a geological body can be generated using the SGIM and that various types of discontinuities can be inserted to cut the model. The data structure of the model that is generated by the SGIM is versatile and can be easily modified to match various numerical calculation tools. …”
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Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree by Nasir Tayarani, Mehrdad Jalali

“…The unique CART feature is a complex data structure analysis that can support regression as well as classification operations, according to the input of the problem. …”
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Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium by Robyn Donrovich, Paul Puschmann, Koen Matthijs

“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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Parametric and Nonparametric Approaches of Reid Vapor Pressure Prediction for Gasoline Containing Oxygenates: A Comparative Analysis Using Partial Least Squares, Nonlinear, and LOW... by Hayder M. Issa

“…The NPR model eliminates parametric constraints and allows for a different kind of data structure to emerge. The established models here demonstrate a sound ability to overcome barriers by omitting the use of inconvenient spectral measurements to save expense and simplify data calibration, making them a promising approach for RVP detection of GOB. …”
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Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients by Guanqing Chen, A. James O’Malley

“…., patients), a network autocorrelation model may be embedded within a hierarchical data structure thereby formulating the peer effect as a dependency between latent variables. …”
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Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements by Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini

“…The data is organized following the Brain Imaging Data Structure standard format and have been validated to ensure its reliability. …”
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Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index by Ying Zhao, Dongli Hu, Dongxia Huang, You Liu, Zitong Yang, Lei Mao, Chao Liu, Fangfang Zhou

“…We integrate a back propagation neural network with the technique of look-up-table in LS to guarantee the monotonicity and boundedness of the predicted placement positions. We design a data structure called the self-regulating index in LS to tentatively store and duly update placement positions for eliminating potential placement conflicts. …”
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Feature Selection with Graph Mining Technology by Thosini Bamunu Mudiyanselage, Yanqing Zhang

“…Our aim in this research was to examine the dependencies between features and select the optimal feature set with respect to the original data structure. Another important factor in our proposed method is that it can perform even in the absence of class labels. …”
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Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

“…To tackle causal and statistical challenges due to the complex longitudinal data structure with time-varying confounders, competing risks, and informative censoring, there exists a general desire to combine machine learning techniques and semiparametric theory. …”
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Synthetic data as external control arms in scarce single-arm clinical trials. by Severin Elvatun, Daan Knoors, Simon Brant, Christian Jonasson, Jan F Nygård

“…It reduces the input data cardinality pre-synthesis and reverses it post-synthesis to regain the original data structure. Finally, we test a selection of state-of-the-art generators against a suite of utility and privacy metrics. …”
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Processing Methods for Digital Image Data Based on the Geographic Information System by Xi Wang, Taizheng Chen, Dongwei Li, Shiqi Yu

“…Therefore, on the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of processing methods for digital image data, elaborated the development background, current status, and future challenges of the GIS technology, introduced the methods and principles of permutation matrix algorithm and subimage averaging method, constructed the processing model for digital image data based on GIS, analyzed the data structure and its database establishment for digital image, proposed the processing methods for digital image data based on GIS, performed the enhancement processing and calculation classification of digital image data, and finally conducted a case analysis and its result discussion. …”
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Supergraph Topology Feature Index for Personalized Interesting Subgraph Query in Large Labeled Graphs by Xiaohuan Shan, Haihai Li, Chunjie Jia, Dong Li, Baoyan Song

“…Then, an auxiliary data structure Supergraph Topology Feature Index (STFIndex) is designed to replace the storage of the original data graph and improve the efficiency of an online query. …”
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Development of Vacuum Vessel Design and Analysis Module for CFETR Integration Design Platform by Chen Zhu, Minyou Ye, Xufeng Liu, Shenji Wang, Shifeng Mao, Zhongwei Wang, Yi Yu

“…In addition, data from the model and FE analysis could be easily exchanged among different modules by providing a unifying data structure to maintain the consistency of the global design. …”
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