Constructing Rasterized Covariates from LiDAR Point Cloud Data via Structured Query Language by Rory Pittman, Baoxin Hu

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Blue shark conservation in the Indian Ocean: data-limited insights on population structure, distribution, and stock assessments by Hoang Huy Huynh, Chun-Yi Hung, Sheng-Ping Wang, Wen-Pei Tsai

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Baby Cry Classification Using Structure-Tuned Artificial Neural Networks with Data Augmentation and MFCC Features by Tayyip Ozcan, Hafize Gungor

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Capitalizing on the wealth of chemical data in the accretionary structures of aquatic taxa: Opportunities from across the tree of life by Zoë A. Doubleday, Louise Hosking, Jasper Willoughby, Minoli Dias, Natasha Leclerc, Shanie Brault Nikolajew, Melita Peharda, Arieli Tristão Rézio, Clive Trueman

“…Abstract Aquatic organisms are natural data loggers and record chemical variations within hardened accretionary structures like shells and teeth. …”
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Drug Therapy Structure and Clinical Characteristics of Patients with Atrial Fibrillation According to Data of REKUR-AF Study by I. L. Polshakova, S. V. Povetkin

“…When analyzing the outpatient charts of the studied patients, demographic data, the type and duration of AF, cardiovascular diseases (CVD), concomitant noncardiac pathology, laboratory and instrumental examination data, information about hospitalizations for the last year, pharmacotherapy were recorded. …”
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Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

“…Abstract Edge detection plays an important role in interpreting geophysical potential field data and revealing faults, contacts, and other linear tectonic structures. …”
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Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles by Ashraf Elnashar, Jules White, Douglas C. Schmidt

Subjects: “…structured data generation…”
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Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

“…The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. …”
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SREDNEKEDROVAYA PALEOSEISMODISLOCATION IN THE BAIKAL RIDGE: ITS STRUCTURE AND THROWS ESTIMATED FROM GROUND‐PENETRATING RADAR DATA by O. V. Lunina, A. S. Gladkov, A. A. Gladkov, I. A. Denisenko

“…Seismogenic faults and large seismogravitational structures were mapped in the area of the Srednekedrovaya paleoseismodislocation, one of the most remarkable seismotectonic structures in the Baikal region. …”
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Revealing the Hidden Social Structure of Pigs with AI-Assisted Automated Monitoring Data and Social Network Analysis by Saif Agha, Eric Psota, Simon P. Turner, Craig R. G. Lewis, Juan Pedro Steibel, Andrea Doeschl-Wilson

“…This proof-of-concept study addresses, for the first time, the hypothesis that applying social network analysis (SNA) on AI-automated monitoring data could potentially facilitate the analysis of social structures of farm animals. …”
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SPECIALITY OF FACIAL STRUCTURE IN PATIENTS WITH DEEP BITE FOR THE CALCULATED DATA RESEARCHED BY A.M. SCHWARZ METHOD by S.I. Doroshenko, S.V. Irkha, V.P. Yacovchuk, I.V. Melnick

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Chemically Activated Carbons from Olive Stones — Peculiarities of Pore Structure and Interpretation of Nitrogen Adsorption Data by M.A. Hourieh, M.N. Alaya, F. El-Sejariah, A.M. Youssef

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Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach by Ulumuddin Faqih, Fajar Miftakhul Haris M., Warnana Dwa Desa, Rafi Muhammad Erfand Dzulfiqar, Rahayu K Helda usuma

“…The integration of these three transformations on the magnetic data is sufficient to interpret the position, direction, and depth of subsurface structures in the research area. …”
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Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data by Abdullah Ezam Ahmady, Abdolhamid Ansari, Seyyed Hossein Mojtahedzadeh

Subjects: “…aeromagnetic data…”
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Fractal Characteristics of the Auroral Oval Structure According to the All-Sky Camera Data in Apatity for 2013–2020 by Kozelov Boris

“…The spatial structure of polar auroras is described by the fractal dimension of glow fluctuations and its anisotropy from direction. …”
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Efficient Probabilistic Modelling of Corrosion Initiation in RC Structures Considering Non-Diffusive Barriers and Censored Data by Guilherme Henrique Rossi Vieira, Ritermayer Monteiro Teixeira, Leila Cristina Meneghetti, Sandoval José Rodrigues Júnior

“…This article presents a probabilistic methodology for assessing corrosion initiation in reinforced concrete structures exposed to chloride ingress. The approach addresses key limitations of conventional analytical models by accounting for non-diffusive barriers and incorporating a rigorous statistical treatment of censored data to mitigate biases introduced by limited simulation durations. …”
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Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography by D. A. Martyushev, I. N. Ponomareva, B. M. Osovetsky, K. P. Kazymov, E. M. Tomilina, A. S. Lebedeva, A. S. Chukhlov

“…This article shows the advantages of the integrated use of modern methods of core research, including X-ray microtomography and electron microscopy, as well as data from hydrodynamic and field studies of wells. …”
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UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

“…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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Incidence and structure of sudden cardiac death among working population of the Bryansk region. GERMINA register data by R. M. Linchak, A. M. Nedbaykin, E. V. Sementsova, I. A. Yusova, V. V. Strukova

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A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

“…Clouds are important for Earth’s energy budget and water cycles, and precisely characterizing their vertical structure is essential for understanding their impact. …”
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