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.…”
Get full text

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

Get full text

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

Get full text

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. …”
Get full text

BACKGROUND OF THE ANATOMY OF PERITONEAL CARCINOMATOSIS. ANALYSIS OF LITERATURE AND SHAREHOLDERS DATA by R. Sh. Ishmuratova, Sh. R. Kzyrgalin, K. Sh. Gantsev, R. S. Minigazimov, S. V. Solomenny, L. V. Khalikova

Get full text

SV-MeCa: an XGBoost-based meta-caller approach for structural variant calling from short-read data by Rudel Christian Nkouamedjo Fankep, Arda Söylev, Anna-Lena Kobiela, Jochen Blom, Corinna Ernst, Susanne Motameny

“…Abstract Background Calling structural variants (SVs), i.e., genomic alterations of $$\ge $$ 50bp, from whole genome short-read data remains challenging, as existing callers are known to lack accuracy and robustness. …”
Get full text

Volume-hiding encrypted multi-map scheme based on hierarchical structure by Jing CHEN, Hanxing LI, Kun HE, Meng JIA, Yuqing LI, Ruiying DU

Get full text

Managerial and natural disposability in two-stage network structure: a DEA-based approach by Mahnaz Maghbouli, Azam Pourhabib Yekta

Subjects: “…data envelopment analysis (dea)…”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

Unveiling the mineral resources and structural patterns in the Middle Benue Trough: a comprehensive exploration using airborne magnetic and radiometric data by Stephen E. Ekwok, Anthony M. George, Asuquo A. Omori, Kamal Abdelrahman, Samuel I. Ugar, Peter Andráš, Morod I. Morphy, Anthony E. Akpan, Ahmed M. Eldosouky

Subjects: “…Magnetic data…”
Get full text

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. …”
Get full text

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. …”
Get full text

Investigation and role of seismic table in dynamic analysis of structural parts by mahdi koushamanesh

Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text