Analysis of strengths, weaknesses, opportunities, and threats: Analytical hierarchy process based dental waste management in Odisha by Somalee Mahapatra, Manoranjan Dash, Subhashis Mohanty

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Evaluating the Effectiveness of Large Language Models in Converting Clinical Data to FHIR Format by Julien Delaunay, Daniel Girbes, Jordi Cusido

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Metavalent Bonds in Dimers of Metallic Elements within Biomacromolecules: Database-forming Approaches, Additionally Exemplified by Silver and Potassium Data by Rudolf Kiralj

“…Metallic homonuclear dimers exist in diverse forms, including as parts of biomacromolecular structures. The aim of this study was to identify all metallic elements forming such dimers in the Protein Data Bank (PDB), to rationalise dimer structure and bonding using various structural descriptors and statistical methods, and to support new findings with two additional studies on silver and potassium clusters. …”
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Simulation research on safety detection of pattern rope jumping motion based on large data background by Dongmei Wang

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Two-tier classification framework for mapping grassland types using multisource earth observation data by Min Zhang, Wenzheng Yu, Ang Chen, Cong Xu, Jian Guo, Xiaoyu Xing, Dong Yang, Zichao Wang, Xiuchun Yang

“…Moreover, they underscore the potential of hierarchical classification frameworks and the integration of multisource EO data in mapping grassland-type distribution.…”
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Integrated Analysis by Geophysical and Spatial Data to Identify the Formation of Kepuhlegundi Hot Spring on Bawean Island by Rafi Muhammad Erfand Dzulfiqar, Fajar M Haris Miftakhul, Ulumuddin Faqih, Purwanto M Singgih

“…Bawean Island was formed due to the geological structure being controlled by the Paleogene-Neogene tectonic line in the Meratus Pattern. …”
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Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction by Olumuyiwa Falowo, A.S. Daramola, W.K. Olabisi

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Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

“…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
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LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING DATA) by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

“…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crystals by Ilona A. Isupova, Denis A. Rychkov

“…<i>CrystalShift</i> is an open-source computational tool tailored for the analysis, transformation, and conversion of crystallographic data, with a particular emphasis on organic crystal structures. …”
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Integrated GNSS and InSAR Analysis for Monitoring the Shoulder Structures of the MOSE System in Venice, Italy by Massimo Fabris, Mario Floris

“…GNSS data were collected from 36 continuous GNSS (CGNSS) stations located at the corners of the emerged shoulder structures in the Treporti, San Nicolò, Malamocco, and Chioggia barriers. …”
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Condition Assessment of Tower and Mast Structures Monitored within One Cluster under Changing Environments by Changping Li, Xinteng Ma, Yang Liu

“…To ensure the safety of tower and mast structures, an effective measurement is to establish a simple structural health monitoring (SHM) system for each tower structure to obtain continuous deformation data of all structures. …”
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Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

“…Urban green structures (UGS) play important roles in enhancing urban ecosystems by providing benefits such as mitigating the urban heat island effect, improving air quality, supporting biodiversity, and aiding in stormwater management. …”
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Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering by Thea Denell, Lauri Himanen, Markus Scheidgen, Claudia Draxl

“…Abstract With the rapidly increasing amount of materials data being generated in a variety of projects, efficient and accurate classification of atomistic structures is essential. …”
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A digital twin framework with MobileNetV2 for damage detection in slab structures by Duong Huong Nguyen, Huan Nguyen, Xiaohong Gao

“…To verify the proposed framework, we present a case study of slab structure using deflection measurement as input data. …”
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New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform by Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

“…Segmenting and transforming different PWAS signals into image-based data points led to data samples that had similar features. …”
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OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems by Jiale Zhang, Zhen Cheng, Xiang Cheng, Bing Chen

“…However, the security and privacy issues, such as data leakage, still challenge the wide deployment of fog computing infrastructure. …”
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A Conditional Simulation Method for Predicting Wind Pressure Fields of Large-Span Spatial Structures by Fangjin Sun, Tiantian Liu, Daming Zhang, Zhonghao Xu

“…Considering the complexity of wind pressure fields of large-span spatial structures, a simplified nonparametric method based on conditional simulation is proposed to predict the unknown pressures using the existing data. …”
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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…Rocking foundation is an unorthodox seismic design philosophy of structures that enhances the performance of structures by absorbing and dissipating seismic energy into soil. …”
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MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures. by Yuxiang Zhan, Francesco Musella, Frank Alber

“…To address this, we present MaxComp, an unsupervised method, for inferring single-cell A/B compartments based on 3D geometric considerations in single-cell chromosome structures-derived either from multiplexed FISH-omics imaging or 3D structure models derived from Hi-C data. …”
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