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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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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The Experience of Patients with Schizophrenia Treated with Repetitive Transcranial Magnetic Stimulation for Auditory Hallucinations by Priya Subramanian, Amer Burhan, Luljeta Pallaveshi, Abraham Rudnick

“…A phenomenological approach was used and modified to involve some predetermined data structuring to accommodate for expected cognitive impairments of participants and the impact of rTMS on auditory hallucinations. …”
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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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The fault systems that control the occurrences of iron ore deposits in northeastern Aswan, Egypt by Mohamed Abd El-Wahed, Ibrahim A. Salem, Mohamed Attia, Dina Younis

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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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WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis by Carolyn B. McNabb, Ian D. Driver, Vanessa Hyde, Garin Hughes, Hannah L. Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J. Hodgetts, Craig Hedge, Maria Engel, Sophie F. Standen, Emma L. Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Matthew Ploszajski, Mark Drakesmith, Michael Germuska, Alexander D. Shaw, Lars Mueller, Holly Rossiter, Christopher W. Davies-Jenkins, Tom Lancaster, C. John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M. Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S. Graham, Andrew D. Lawrence, Richard G. Wise, James T. R. Walters, Petroc Sumner, Krish D. Singh, Derek K. Jones

“…Data are organised using the Brain Imaging Data Structure (BIDS). In addition to raw data, we provide brain-extracted T1-weighted images, and quality reports for diffusion, T1- and T2-weighted structural data, and blood-oxygen level dependent functional tasks. …”
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Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

“…Patient-level grouped data are prevalent in public health and medical fields, and multiple instance learning (MIL) offers a framework to address the challenges associated with this type of data structure. This study compares four data aggregation methods designed to tackle the grouped structure in classification tasks: post-mean, post-max, post-min, and pre-mean aggregation. …”
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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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A Semi-Supervised Attention Model for Identifying Authentic Sneakers by Yang Yang, Nengjun Zhu, Yifeng Wu, Jian Cao, Dechuan Zhan, Hui Xiong

“…Specifically, the SSA model has a self-attention structure for different images of a labeled sneaker and a novel prototypical loss is designed to exploit unlabeled data within the data structure. The model draws on the weighted average of the output feature representations, where the weights are determined by an additional shallow neural network. …”
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The Impact of Cinema and Film Screening Places on Improving the Art Cinema Market and Cultural Promotion of Urban Spaces (Case Study: District 6 of Tehran) by Farzin Nematbakhsh Abkenar, Mansoureh Aligholi, Hossein Safarzadeh, Seyed Kamran Nourbakhsh

“…In order to analyze the research data, structural equation modeling in LISREL software environment was used. …”
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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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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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Analysis of ChatGPT-Generated Codes Across Multiple Programming Languages by Sally Almanasra, Khaled Suwais

“…The study addresses key questions related to the performance, code quality, and error management of AI-generated code by analyzing solutions for 300 data structure problems and 300 problems from the LeetCode platform. …”
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Developing a hybrid model for comparative analysis of financial data clustering algorithms by Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi

“…Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. …”
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Simulation of discrete control systems with parallelism of behavior by D. I. Cheremisinov, L. D. Cheremisinova

“…The key concepts of the TLM model for simulating the descriptions of control algorithms in the PRALU language are defined: data structure, transactions, processes, and a barrier mechanism for synchronization of parallel processes. …”
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LINKS. A System for Historical Family Reconstruction in the Netherlands by Kees Mandemakers, Gerrit Bloothooft, Fons Laan, Joe Raad, Rick J. Mourits, Richard L. Zijdeman

“…We present the background and philosophy of this matching system and explain its data structure and functioning. Currently the core data of the LINKS system consists of indexed civil certificates. …”
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