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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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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A novel approach to analyzing the evolution of SARS-CoV-2 based on visualization and clustering of large genetic data compactly represented in operative memory by A. Yu. Palyanov, N. V. Palyanova

“…Aligning all genomes versus the initial Wuhan-Hu-1 reference sequence allows each to be represented as a data structure containing lists of point mutations, deletions and insertions. …”
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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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Peningkatan Performa Komputasi Sistem Navigasi Transportasi Publik Pada Perangkat Bergerak Melalui Penerapan Teknik Kompresi Data dan Penyederhanaan Graf by Aryo Pinandito, Agi Putra Kharisma, Muhammad Aminul Akbar, Mochamad Chandra Saputra

“…The plans are generated from the implementation of Dijkstra's algorithm, which is modeled in the graph data structure. This study determines the effectiveness of using JSON format, the bandwidth saved for distributing data on the Internet from Zlib data compression and Base64 encoding, and analyzes additional memory usage due to compression and the impact of data simplification through a visual approach on transport network graphs with the Douglas-Peucker algorithm. …”
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Exploring multi-level factors determining social participation of students with intellectual disabilities in inclusive physical education classes by Christoffer Klenk, Matthias Buser

“…Multi-level-modelling (MLM) was applied to analyse the data, as it enables analysing nested data structure considering variables both at individual student’s level (L1) and variables at class level (L2). …”
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Time to first antenatal care visit and its predictors among women in Kenya: Weibull gamma shared frailty model (based on the recent 2022 KDHS data) by Bizunesh Fantahun Kase, Beminate Lemma Seifu, Kusse Urmale Mare, Abdu Hailu Shibeshi, Hiwot Altaye Asebe, Kebede Gemeda, Zufan Alamrie Asmare, Yordanos Sisay Asgedom, Bezawit Melak Fente, Afework Alemu Lombebo, Tsion Mulat Tebeje

“…Shared frailty survival models were used to account for the hierarchical data structure and unobserved heterogeneity, with the Weibull gamma model identified as the best fit based on Information Criteria (AIC), and Bayesian Information Criteria (BIC). …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…Furthermore, selecting the right ML model for a specific task requires careful consideration of the data structure, the complexity of the problem, and the desired outcomes. …”
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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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Evaluation of gestational nonpersistent pesticide exposure with newborn size and gestational length in rural Ghana using a novel time-varying extension of multiple informant models by Wylie BJ, Kaali S, Duttweiler L, Ae-Ngibise KA, Mujtaba M, Tawiah C, Gibson E, Calafat AM, Ospina M, Jack DJ, Agyei O, Lee AG, Roberts DJ, Boamah-Kaali EA, Factor-Litvak P, Modest AM, Hauser R, Coull BA, Asante KP

“…Extending multiple informant models to account for the complex data structure allowed us to discern effects in opposing directions by distinct pesticide classes. …”
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The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…Blockchain is essentially a public ledger, where groups of transactions or events are recorded and stored in a chain-like data structure; this approach creates a fast yet secure way to transfer funds. …”
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A Method for Fast Leaderboard Calculations in Massive Online Game-Based Environments by Julian Moreno Cadavid, Hernán Darío Vanegas Madrigal

“…It is based on two particular data structures, a Self-Balanced Ordering Statistic Tree and a hash table, to perform proper leaderboard calculations in a fast and cheap way. …”
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Analysis of algorithmic problems solved in Olympiads: stands of students and experts by Jonas Blonskis, Valentina Dagienė, Kostas Plukas

“…The main attention is paid to selection, development and application of proper data structures. …”
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Analysis of data types in "Comenius Logo" by Valentina Dagienė

“…The traditional one considers three kinds of "Comenius Logo" data structures: words, images, and lists. The modern standpoint pick out three mechanisms of forming and exploring data: primitive data (to represent basic entities of the program­ming languages); means of combination (to build compound data from simple ones); means of abstraction (to name compound objects and manipulate them as units). …”
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Synthesis Characterization and Biological Investigations on Metal Complexes of 2-[(8-Hydroxy-1-quinolin-5-yl) methyl]-1H-isoindole-1, 3 (2H) dione by M. R. Solanki, G. D. Acharya, M. V. Hathi

“…Coordination of the ligand atom to the metal ion was deduced by IR and reflecting spectral data. Structures of the complexes were confirmed by magnetic studies. …”
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Culture Shock sebagai Mediator antara Kepribadian Reformer terhadap Sojourner Adjustment by Ujam Jaenudin, Dadang Sahroni, Zulmi Ramdani

“…This study concludes that the theoretical model of the role of reformer personality on sojourner adjustment through cultural shock mediators is fit with empirical data. Structural analysis shows that cultural shock is a significant mediator variable on the influence of reformer personality on sojourner adjustment.…”
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TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data by Jae Hyun Lim, Soo Youn Lee, Ju Han Kim

“…However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one another due to their disparate data structures and processing methods. They also lack visualization methods to confirm the integrity of the data and the process. …”
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