Results 181 to 190 of about 3,865,632 (281)

Learning structural engineering [PDF]

, 2010
Tim Ibell, Bath University, shares views on the structural engineering education during the Structural Engineering in the 21st Century academic conference. Students has realized that that good structural design is not about sizing members or following codified rules but is about producing a structural concept which leads to the satisfaction of a set of
openaire  

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

Advanced Functional Materials, EarlyView.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari, Gokul Bhaskaran, Krishan Kumar, Yun Suk Huh, Young‐Kyu Han   +4 more
wiley   +1 more source

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis. [PDF]

Appl Intell (Dordr)
Petkov H, MacLellan C, Dong F.
europepmc   +1 more source

Mining human preference via self-correction causal structure learning. [PDF]

Sci Rep, 2022
Sun J, Wu C, Peng W, Huang J, Han C, Zhu Y, Lyu Y.   +6 more
europepmc   +1 more source

Formation of Stable Amorphous Calcium Phosphate and Collagen Assemblies by a Versatile Spray‐Drying Approach

Advanced Functional Materials, EarlyView.
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani, Nessma Bennaceur, Celina Benkhellat, Tristan Georges, Clara Doisneau, Vaskar Sardhalia, Thierry Azaïs, Flora Lemaire, Halima Kerdjoudj, Mohamed Selmane, Capucine Sassoye, Marie Albéric, Cédric Boissière, Nadine Nassif   +13 more
wiley   +1 more source

M³ASD: Integrating Multi-Atlas and Multi-Center Data via Multi-View Low-Rank Graph Structure Learning for Autism Spectrum Disorder Diagnosis. [PDF]

Brain Sci
Yang S, Yin Z, Ma Y, Wang M, Huang S, Zhang L.   +5 more
europepmc   +1 more source

Dynamic Programming BN Structure Learning Algorithm Integrating Double Constraints under Small Sample Condition. [PDF]

Entropy (Basel), 2022
Lv Z, Chen Y, Di R, Wang H, Sun X, He C, Li X.   +6 more
europepmc   +1 more source

Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties

Advanced Functional Materials, EarlyView.
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon, Raúl López‐Martín, Verner Håkonsen, Nader Yaacoub, Francisco J. Terán, Alberto López Ortega, Jose A. De Toro, Gurvinder Singh   +7 more
wiley   +1 more source

DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors. [PDF]

BMC Med Res Methodol
Zhao Y, Jia J.
europepmc   +1 more source

Complementary Structure-Learning Neural Networks for Relational Reasoning. [PDF]

Cogsci, 2021
Russin J, Zolfaghar M, Park SA, Boorman E, O'Reilly RC.   +4 more
europepmc   +1 more source