Results 91 to 100 of about 2,373,415 (302)

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

, 2017
Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algorithm for estimating the GMM parameters.
Hoffmann, Heiko, Kolouri, Soheil, Rohde, Gustavo K.   +2 more
core   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

The Lvov-Warsaw School and Its Future

Axioms, 2016
The Lvov-Warsaw School (L-WS) was the most important movement in the history of Polish philosophy, and certainly prominent in the general history of philosophy, and 20th century logics and mathematics in particular.[...]
Angel Garrido, Piedad Yuste
doaj   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Response of Bambara groundnut (Vigna subterranean L.) and Maize (Zea mays L.) to heavy metal stress

Beni-Suef University Journal of Basic and Applied Sciences, 2019
Background Plants are usually the target of environmental pollution. This study, therefore, investigates the effects of Zinc (Zn) and lead Pb on Bambara nut (Vigna subterranean) and Maize (Zea mays) at different concentrations, as well as the possible ...
E. O. Oladele, O. O. Adewumi, T. Yahaya, I. A. Taiwo   +3 more
doaj   +1 more source

The difference between presence-based education and distance learning [PDF]

, 2002
Attempts to define distance learning always involve comparisons with presence-based education, as the latter is the most direct reference that the former has.
Fernández Rodríguez, Mònica
core   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Impact of confrontation to patient suffering and death on wellbeing and burnout in professionals: a cross-sectional study

BMC Palliative Care
Background Palliative care and oncology generate a risk of burnout and psychological distress in professionals. The purpose of this study is to identify both psychopathological and positive factors related to mental health at work. It aims (i) to explore
Anne-Catherine Delafontaine, Royce Anders, Bernard Mathieu, Cornelia Rolli Salathé, Benjamin Putois   +4 more
doaj   +1 more source

dml: Distance Metric Learning in R [PDF]

, 2018
Yuan Tang, Tao Gao, Nan Xiao
openalex   +1 more source

Twelve tips for pedagogical production of learning objects for distance continuing medical education

, 2021
Alessandra Tavares Francisco Fernandes, Brenda Wander, Carmen Vera Giacobbo Daudt, Maria Eugênia Bresolin Pinto   +3 more
openalex   +1 more source