Results 281 to 290 of about 1,000,205 (352)

LA-ICP-MS Trace Element Data for Sulfide Minerals from Mid-Ocean Ridge Hydrothermal Vent Field

Fan, Lei, Holzheid, Astrid, Zoheir, Basem, Wang, Guozhi, Li, Chuanshun, Frische, Matthias, Shi, Xuefa   +6 more
openalex   +1 more source

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Clinical and Histological Assessment of Knife-Edge Thread Implant Stability After Ridge Preservation Using Hydroxyapatite and Sugar Cross-Linked Collagen: Preliminary Report. [PDF]

Dent J (Basel)
Veljkovic L, Nedeljkovic M, Rosic G, Selakovic D, Jovicic N, Stevanovic M, Milanovic J, Arnaut A, Vasiljevic M, Milanovic P.   +9 more
europepmc   +1 more source

RFE - Bayesian Ridge, RFE - Loop, RFE - Ridge - Homoscedasticity.

Jose Cruz (12273851), Luis Baca (21387322), Norman Beltran (21387325), Julio Chura (21387328), Helarf Calsina (21387331), Vilma Sarmiento (21387334), Reynaldo Condori (21387337), Saul Huaquipaco (21387340), Víctor Yana-Mamani (21387343), Wilson Negrão Macêdo (21387346), Wilson Mamani (21387349)   +10 more
openalex   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Variation in flooding tolerance in Populus deltoides 'D-124' and P. trichocarpa × P. deltoides hybrid '52-225'. [PDF]

Tree Physiol
Yao T, Ortega-Corretjer A, Zhang X, Engle NL, Carter KR, Devireddy A, Lee JH, Weston J, Weston DJ, Tschaplinski TJ, Tuskan GA, Li M, Chen JG.   +12 more
europepmc   +1 more source

Comparative Study of the Architectural Structure of Mausoleums with Ridged Domes in The Ilkhanid-Timurid Period (Case Study: Mausoleums of Do-gonbadan in Kookherd in Bastak, Mir Muhammad in Kharg, and Baba Monir in Nurabad, Fars Province)

Maryam Erfani Haghiri, javad neyestani, Hasan Ali Pourmand   +2 more
openalex   +2 more sources

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Effect of Different Bone Graft Materials on Buccal Wall Dimensions During Socket Preservation: A 3D Retrospective Pilot Study. [PDF]

Cureus
Jaber M, El Jalkh R, Khairallah CM, Saleh A, Bou Jaoude G.   +4 more
europepmc   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source