Developing Data Workflows: From Conceptual Blueprints to Physical Implementation by Bruno Oliveira, Óscar Oliveira

“…Data workflows are an important component of modern analytical systems, enabling structured data extraction, transformation, integration, and delivery across diverse applications. …”
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Layers upon layers: data sharing & reuse challenges in archaeological contexts by Michael Olsson, Olle Sköld, Lisa Andersson

“…This short paper presents preliminary findings from a study of archaeologist’s information practices relating to data sharing and reuse. Method. Semi-structured remote interviews were carried out with 16 archaeologists relating to their research interests, their data creation, use and reuse practices, as well as the general views on the importance of data sharing and reuse in archaeology. …”
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From access and transparency to refusal: Three responses to algorithmic governance by Alexandra James, Danielle Hynes, Andrew Whelan, Tanja Dreher, Justine Humphry

“…The third response, one of data justice, abolition and refusal, seeks to address the limitations to achieving social justice through prioritising digital access, inclusion and transparency. …”
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“We need workable micronutrient data!”: a qualitative study assessing the need for integrated micronutrient data to support evidence-based decisions by Indian food system stakehold... by Rupinder Sahota, Jaswant S. Khokhar, Aakash Deep, Aakash Deep, Katherine P. Adams, Arindam Das, E. Louise Ander, E. Louise Ander, Edward J. M. Joy, Edward J. M. Joy

“…A qualitative, descriptive study was conducted, with purposive sampling of stakeholders from state and national-level government, development agencies, non-governmental organisations, research institutes, private organisations, and academia. Data were generated through focus group discussions and semi-structured key informant interviews. …”
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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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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…Currently, particularly in data-driven modeling methods, data preprocessing for dividing structural components and nonstructural components is required before modeling. …”
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Structural insights into Beclin 1 interactions with it's regulators for autophagy modulation by Debapriyo Sarmadhikari, Shailendra Asthana

“…This challenge is further compounded by the absence of structural data, which makes deciphering the intricate web of PPIs even more difficult. …”
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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

“…These data in this research are analyzed with panel data regression analysis which is processed using EViews 12 software. …”
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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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Preferential Pathways Inversion From Cross‐Borehole Electrical Data by Léa Lelimouzin, Cédric Champollion, Léa Lévy, Delphine Roubinet

“…This allows identifying newly created narrow conductive structures from the field data collected before and after injection. …”
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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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LUOJIA Explorer PMS: Panoramic Odometry and Mapping with Structural Information by Y. Xu, Y. Xu, Y. Xu, C. Chen, C. Chen, C. Chen, B. Yang, B. Yang, B. Yang, L. Li, Z. Wang, Z. Wang, Z. Wang, S. Sun, S. Sun, S. Sun, Z. Yan, Z. Yan, Z. Yan, S. Wu, S. Wu, S. Wu

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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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Structural Health Monitoring under Nonlinear Environmental or Operational Influences by Jyrki Kullaa

“…Vibration-based structural health monitoring is based on detecting changes in the dynamic characteristics of the structure. …”
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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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