NEW INSIGHT INTO THE STRUCTURAL MODEL IN SOUTHERN SUMATRA INDONESIA USING GRAVITY AND MAGNETIC DATA: IMPLICATIONS FOR GEOTHERMAL RESOURCES by Irfan Prasetyo, Wawan Gunawan Abdul Kadir, Dadi Abdurrahman, Darharta Dahrin, Khalil Ibrahim, Andri Kurniawan

“…The integration of gravity and magnetic data reveals new relationships between tectonic structures in the GSF zone and previously unexplored geothermal potential.…”
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Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data by Christina Hellmann, Bernd Bobertz, Fabian Hübner, Nora Köhn, Jürgen Kreyling, Sebastian van der Linden

“…As single UAS surveys offer both structural and spectral information, UAS data will contribute to precise biomass and vegetation monitoring at high spatial resolution in upcoming rewetting efforts.…”
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Structural mapping for groundwater occurrence using remote sensing and geophysical data in Ilesha Schist Belt, Southwestern Nigeria by Stephen Olubusola Ilugbo, Isaac Aigbedion, Kesyton Oyamenda Ozegin

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Abstract Structural health monitoring (SHM) apparatuses rely on continuous measurement and analysis to assess the safety condition of a target system. …”
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Modular Multifunctional Composite Structure for CubeSat Applications: Embedded Battery Prototype Thermal Analysis by Giorgio Capovilla, Enrico Cestino, Leonardo Reyneri, Federico Valpiani

“…Starting from the framework of project ARAMIS (an Italian acronym for a highly modular architecture for satellite infrastructures), a new concept of smart tiles has been developed, employing multifunctional structures and lightweight, composite materials. This enables increased CubeSat mass efficiency and payload volume. …”
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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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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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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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3D complex: a structural classification of protein complexes. by Emmanuel D Levy, Jose B Pereira-Leal, Cyrus Chothia, Sarah A Teichmann

“…Finally, through comparison of Biological Units in the Protein Data Bank with the Protein Quaternary Structure database, we identified many possible errors in quaternary structure assignments. …”
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Hemomicrocirculation and immune structural components changesin Chernobyl accident liquidators by F. F. Tetenev, Ya. V. Porovsky, T. N. Bodrova, A. I. Ryzhov, T. P. Vetlugina

“…The aim of the study was to investigate correlation of immunity structural components (morphologic-functional changes in derma and systemic immune reactionof the organisms of Chernobyl accident liquidators. …”
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Investigation and role of seismic table in dynamic analysis of structural parts by mahdi koushamanesh

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Structural and social determinants of health: The multi-ethnic study of atherosclerosis. by Lilah M Besser, Sarah N Forrester, Milla Arabadjian, Michael P Bancks, Margaret Culkin, Kathleen M Hayden, Elaine T Le, Isabelle Pierre-Louis, Jana A Hirsch

“…<h4>Background</h4>Researchers have increasingly recognized the importance of structural and social determinants of health (SSDOH) as key drivers of a multitude of diseases and health outcomes. …”
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Encoding Mie, plasmonic, and diffractive structural colors in the same pixel by Kim Youngji, Hyun Jerome K.

“…We present a 1D reflective multi-level structural color design that incorporates Mie, plasmonic, and diffractive mechanisms in the same pixel. …”
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Dynamic and structural characteristics of responsible investment strategies: regional focus by Yu.V. Yelnikovа

“…These data were structured by regions of the largest distribution of responsible investment in the world and taking into account the most well-known investment strategies: screening (exclusion), ESG integration, corporate involvement and stakeholder engagement, norm-based screening, positive screening (best-in-class), sustainable thematic investment, impact investment (impact / community investment). …”
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Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome by Satya P. Singh, Sukrit Gupta, Jagath C. Rajapakse

“…Brain state classification by applying deep learning techniques on neuroimaging data has become a recent topic of research. However, unlike domains where the data is low dimensional or there are large number of available training samples, neuroimaging data is high dimensional and has few training samples. …”
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A borehole image dataset for the intelligent identification of structural planes by Yi Cheng, Zengqiang Han, Yuyong Jiao, Shuangyuan Chen, Chao Wang

“…The construction of the BSP700 dataset resolves critical data quality challenges in intelligent structural planes recognition and establishes a foundational resource for advancing rock mass characterization research. …”
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Systematic analysis of structural disorder in the minimal proteome of Mycoplasma pneumoniae by Uberto Pozzoli, Diego Forni, Federica Arrigoni, Alessandra Mozzi, Rachele Cagliani, Luca De Gioia, Manuela Sironi

“…Perusal of proteome-wide data also revealed that, as in eukaryotes, structural disorder associates with higher protein degradation rates and that Mpn IDRs are preferential targets of phosphorylation. …”
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Structural and functional characterization of Pseudomonas aeruginosa CupB chaperones. by Xun Cai, Rui Wang, Alain Filloux, Gabriel Waksman, Guoyu Meng

“…However, due to the lack of structural and biochemical data, their chaperone activities remain speculative. …”
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Development of a personalized diet using the structural optimization method by A. B. Lisitsyn, I. M. Chernukha, M. А. Nikitina

“…The paper presents the methodology of optimization and formation of personalized diets based on structural-parametric modeling. The proposed approach allows solving the following tasks: 1)  to analyze the daily diet or individual meals (breakfast, lunch, afternoon snack, dinner, additional meals or snacks) with a known quantitative set of finished products in terms of energy value and chemical composition in order to reveal dietary disorders; 2)  to calculate quantity of products optimal for a meal from the fixed list, thereby composing an individual reference diet with regard to the mental and physical activities, nutritive status of a consumer and economic aspects; 3) to optimize a diet depending on the task at hand by selecting a group of finished products from a complete or selected list of archival data, equally taking into account all the necessary parameters; 4) to adjust the diet taking into account dietary deviations in certain parameters of the chemical composition and energy value by additional introduction of special purpose products with the increased biological value, multivitamin and multivitamin-mineral supplements, as well as natural bioactive substances.…”
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