Strengths and weaknesses of Global Positioning System (GPS) data-loggers and semi-structured interviews for capturing fine-scale human mobility: findings from Iquitos, Peru. by Valerie A Paz-Soldan, Robert C Reiner, Amy C Morrison, Steven T Stoddard, Uriel Kitron, Thomas W Scott, John P Elder, Eric S Halsey, Tadeusz J Kochel, Helvio Astete, Gonzalo M Vazquez-Prokopec

“…The main goal of this observational study was to compare and contrast the information obtained through GPS and semi-structured interviews (SSI) to assess issues affecting data quality and, ultimately, our ability to measure fine-scale human mobility. …”
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Analysing the impact of large mammal herbivores on vegetation structure in Eastern African savannas combining high spatial resolution multispectral remote sensing data and field observations by Helena M. Back, Isabel Pérez-Postigo, Clemens Geitner, Almut Arneth

“…Field data as well as NDVI values derived from Sentinel-2 and NDVI contrast values of PlanetScope show that presence of herbivores lowers vegetation cover and modify the woody vegetation structure depending on which herbivores are present. …”
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Dataset on insight into inhibition capacity of cyclic tetra-amino acid based compounds as efficient crystal structure of human insulin-degrading enzyme inhibitorsMendeley Data by Cecilia O. Akintayo, Abel Kolawole Oyebamiji, Arogundade Ibukun O, Adeniyi Adebayo, Sunday Adewale Akintelu, Samson Olusegun Afolabi, Oluwakemi Ebenezer

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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

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Remote Inspection of Bridges with the Integration of Scanning Total Station and Unmanned Aerial Vehicle Data by Piotr Olaszek, Edgar Maciejewski, Anna Rakoczy, Rafael Cabral, Ricardo Santos, Diogo Ribeiro

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Redefining comorbidity understanding in rheumatoid arthritis through novel approaches using real-world data by Diego Benavent, Chamaida Plasencia-Rodríguez

“…Meanwhile, natural language processing (NLP) and artificial intelligence (AI) image analysis can bridge the gap between structured and unstructured data, by extracting meaningful information from unstructured fields such as free text or imaging. …”
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Practical concepts for the use of probabilistic methods in the structural analysis and reassessment of existing bridges - presentation of latest research and implementation by Thomas Braml, Christian Kainz

“…Structure-specific partial safety factors include measured data and can be used for the well-known and in the codes established semi-probabilistic design concept. …”
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SuperBand: an Electronic-band and Fermi surface structure database of superconductors by Tengdong Zhang, Chenyu Suo, Yanling Wu, Xiaodan Xu, Yong Liu, Dao-Xin Yao, Jun Li

“…Abstract In comparison to simpler data such as chemical formulas and lattice structures, electronic band structure data provide a more fundamental and intuitive insight into superconducting phenomena. …”
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Automated Modal Analysis Using Stochastic Subspace Identification and Field Monitoring Data by Shieh-Kung Huang, Zong-Zhi Lai, Hoong-Pin Lee, Yen-Yu Yang

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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

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Data-driven modeling and identification of a bistable soft-robot element based on dielectric elastomer by Abd Elkarim Masoud, Jürgen Maas

“…The bistable DE system consists of a buckled beam structure and symmetric DE membranes to achieve rapid switching between two stable states. …”
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Therapeutic potential of a drug based on avocado and soy unsaponifiable compounds in the treatment of osteoarthritis: data from Russian and international studies (descriptive revie... by A. E. Karateev, A. M. Lila

“…According to the results of the presented studies, ASACs have proven efficacy in reducing the intensity of pain and dysfunction in knee OA. There are data confirming the structure-modifying effect of ASACs in OA of the hip joint (HJ). …”
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Through-Time Models for the Protection and Conservation of Port Areas: From 2D Data to 4D Analysis by Sara Gonizzi Barsanti, Gaetano Crispino, Silvia Bertacchi, Pasquale Contestabile, Adriana Rossi

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Digital elevation model and satellite gravity anomalies and its correlation with geologic structures at Borena basin, in the Southern Main Ethiopian Rift by Yahya Ali Abdulkadir, Shimeles Fisseha, Muralitharan Jothimani

“…This study integrates remote sensing data via Digital Elevation Model (DEM) and satellite gravity data to detect geologic structurs at Borena and the surrounding regions in the Southern Main Ethiopia Rift (SMER). …”
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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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