Semi-automatic staging area for high-quality structured data extraction from scientific literature by Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano, Masashi Ishii

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Composition and structure of upper Jurassic black shales from the Moscow region considering new data by S. Yu. Malenkina

“…The accumulation of the shales is discovered to depend on a paleorelief and the depth of the pool, and they are confined to the pre-Jurassic structural hollows, while in the shallow elevated areas there are low-thickness condensed sections with the complete absence of the shales and the presence of almost solely phosphate interlayers.…”
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A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters by Juan F. Gómez Fernández, Eduardo Candón Fernández, Adolfo Crespo Márquez

“…First, the proposed AHI methodology is introduced, and after a structured data model specifically designed, orientated to a basic and economic cloud implementation architecture. …”
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Quantum chemical research of the molecular structure of 3,4-dicyanofuroxan by I. N. Kolesnikova, N. V. Lobanov, V. N. Lobanov, I. F. Shishkov

“…The equilibrium molecular structure of 3,4-dicyanofuroxan was refined by means of quantum chemical calculations using the Gaussian09 program. …”
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Faster computation of left-bounded shortest unique substrings by Larissa L. M. Aguiar, Felipe A. Louza

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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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High earnings through firm influence: the role of hierarchical structures in public procurement by Niclas Frederic Sturm, Cristian Candia, Bruno Damásio, Flávio L. Pinheiro

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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

“…Building on these developments, this study proposes a novel imputation approach, SMART (Structured Missingness Analysis and Reconstruction Technique) for credit scoring datasets. …”
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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 is showcased by means of syntactically ambiguous structures in German which can be disambiguated based on prosodic constituency information. …”
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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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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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