MonteCarloSEM: An R Package to Simulate Data for SEM by Fatih Orçan

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On a data model associated with antitrust behaviors by Weiguang Zhou, Guangxin Wang, Jixiao Lu, Hongxin Ruan, Jun Wang, Rui Zhang

Subjects: “…data analysis…”
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DETERMINANTS OF STRUCTURAL DIMENSION OF DAILY BEHAVIOUR IN A TRADITIONAL AFRICAN CITY: A CASE STUDY OF ILORIN, NIGERIA by Moses Olutoyin ADEDOKUN

“…Descriptive statistics were used to summarize the data while Principal Component Analysis was used to test the research hypotheses. …”
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Modeling of Regional Development Using a Structural Approach: Principles, Tools and Experience of Their Application by Yu. V. Vertakova, O. S. Prokopenko

“…To solve the priority task of the Russian Federation to ensure the effective socio-economic and sustainable development of the regions, it is necessary to carry out an adequate structural policy, the main purpose of which is to form a rational and balanced structure of the economy that can ensure the effective development of the region’s economy. …”
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Multi-stage hashing network storage structure for intelligent routing by Feng ZHU, Qun HUANG

“…Network data collection and storage are fundamental for intelligent routing control,providing massive flow data for model training and decision-making.However,as the key device in network storage system,switches have very limited memory size and design flexibility,which can’t satisfy the needs of intelligent routing control for comprehensive high-precision data and lightweight storage system,thus reducing the effectiveness of intelligent routing control.A multi-stage hashing network storage structure (MHNSS) was proposed for intelligent routing control,which fully utilized the limited memory resource of switch and completed network data storage with low collision rate.The number of candidate buckets of the flow key was augmented by multi-stage hash table,thus reducing collision rate and improving memory load ratio.Hash collision was resolved via coarse-grained timestamp LRU algorithm,which always stored most recently used data and cleared least recently used data to avoid subsequent collisions as far as possible.Trace-driven experiments showed that compared with widely used single hash table,MHNSS had significant performance advantage in collision rate and load ratio.…”
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Analysis of the structure of palliative pathology in children of the Voronezh region in 2021 by Yu. Yu. Razuvaeva, V. S. Ledneva, L. V. Ulyanova

“…In the Voronezh region, the largest number of patients with palliative pathology is located in the Novousmansky district, which can be attributed to the immediate proximity of the district to the city. According to the structure of the detected palliative pathologies, non-oncological diseases prevail in children of the Voronezh region, which is compared with statistical data for Russia. …”
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Firm Value in Profitability, Leverage, Capital Structure, and Firm Growth by Sonnia Dea Larasati, Chintia Betharia

“…Abstract Purpose - This research was conducted to determine and explain how profitability, leverage, capital structure, and company growth can affect firm value. …”
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Enhancing Security of Databases through Anomaly Detection in Structured Workloads by Charanjeet Dadiyala, Faijan Qureshi, Kritika Anil Bhattad, Sourabh Thakur, Nida Tabassum Sharif Sheikh, Kushagra Anil Kumar Singh

“…One of the most advanced ways of enhancing database security is using an anomaly detection system, especially for structured workloads. Structured workloads typically exhibit predictable patterns of data access and usage, making them susceptible to displaying anomalies that may indicate unauthorized access, data manipulation, or other security breaches. …”
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SMART: Structured Missingness Analysis and Reconstruction Technique for credit scoring by Seongil Han, Haemin Jung, Paul D. Yoo

“…Abstract The Basel Accord emphasizes the necessity of employing internal data models to manage key credit risk components, including Probability of Default (PD), Loss Given Default (LGD), and Exposure At Default (EAD). …”
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Enhancing Security of Databases through Anomaly Detection in Structured Workloads by Charanjeet Dadiyala, Faijan Qureshi, Kritika Anil Bhattad, Sourabh Thakur, Nida Tabassum Sharif Sheikh, Kushagra Anil Kumar Singh

“…One of the most advanced ways of enhancing database security is using an anomaly detection system, especially for structured workloads. Structured workloads typically exhibit predictable patterns of data access and usage, making them susceptible to displaying anomalies that may indicate unauthorized access, data manipulation, or other security breaches. …”
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Tracking Biosecurity Through the Diversity and Network Structure of International Trade by Kong-Wah Sing, Rachel Peden, Damien Hicks

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From speech signal to syntactic structure: A computational implementation by Tina Bögel, Tianyi Zhao

“…The system takes as input a speech signal annotated with syllables, interprets the phonetic data in phonological/prosodic terms, matches the data against a lexicon and makes the results available to a linguistically deep computational grammar. …”
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Interoperability Structure of Smart Water Conservancy Based on Internet of Things by SongSong Wang, Ouguan Xu

“…Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. …”
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FARM SIZE AND SPECIALIZATION STRUCTURE IN THE EUROPEAN COUNTRIES IN THE YEAR 2020 by Cosmina SMEDESCU, Marius Mihai MICU, Valentina Constanța TUDOR

“…The purpose of this article is to analyze the evolution of the areas cultivated in the conventional system, comparing the data at European and at the national level. With a solid foundation in analyzing data obtained from various agricultural organizations, this study aims to elucidate current trends and provide an in-depth understanding of how conventional agriculture is changing. …”
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Imperative Sentences In Surah Luqman: A Study Of Structure And Meaning by Vina Ulfa Mahfudhoh, Moch. Syarif Hidayatullah, Cahya Buana

“…While the data analysis method in this research uses content analysis method with semantic approach to dissect the structure and meaning. …”
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Dynamics of link formation in networks structured on the basis of predictive terms by S. O. Kramarov, O. R. Popov, I. E. Dzhariev, E. A. Petrov

“…In order to model and analyze the information conductivity of complex networks having an irregular structure, it is possible to use percolation theory methods known in solid-state physics to quantify how close the given network is to a percolation transition, and thus to form a prediction model. …”
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Household structure in Ghana: Exploring dynamics over three decades by Josephine Akua Ackah Baafi, Rebecca Sear, Estelle McLean, Kofi Awusabo-Asare, Anushé Hassan, Fabian Sebastian Achana, Sarah Walters

“…METHODS: We employ two methods of classification – manual and data-driven (latent class analysis) – to create household structures using Ghana’s censuses (1984–2021) and Demographic and Health Surveys (1993–2022). …”
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Effects of Social Structure on Effective Population Size Change Estimates by Bárbara Ribeiro Parreira, Shyam Gopalakrishnan, Lounès Chikhi

“…We estimate the effective population size (Ne) and quantify the effect of social structure on estimates of changes in Ne. We analyze the simulated data with two widely used methods for demographic inference. …”
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Automated generation of structure datasets for machine learning potentials and alloys by Marvin Poul, Liam Huber, Jörg Neugebauer

“…Abstract We propose a strategy for generating unbiased and systematically extendable training data for machine learning interatomic potentials (MLIP) for multicomponent alloys, called Automated Small SYmmetric Structure Training or ASSYST. …”
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Initial Phase and Modulation Factor Optimization for Structured Illumination Microscopy by Yanwei Zhang, Cong Luo, Hongwei Wang, Song Lang, Yan Gong, Yuguo Tang

“…Structured illumination microscopy (SIM) is a widefield super-resolution technique in fluorescent imaging. …”
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