Results 121 to 130 of about 7,091 (263)

Role-Modeling Character Virtues in Surgical Teaching: An Exploratory Qualitative Study of Attending Surgeons. [PDF]

Ann Surg Open
Qu LT, Knepper J, Pestenariu J, Penrose S, Stanulis RN.   +4 more
europepmc   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Octopamine and tyramine dynamics predict learning rate phenotypes during associative conditioning in honey bees. [PDF]

Sci Adv
Sands LP, Lei H, Batten SR, Hartle A, Lohrenz T, Barbosa L, Bang D, Dayan P, Howe WM, Smith BH, Montague PR.   +10 more
europepmc   +1 more source

Slow learners

The Lancet, 1991
openaire   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Enterprise service user intent prediction based on fast K-means++ fusion algorithm. [PDF]

PLoS One
Han Y, Zhai J, Li P.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

The Tea-Steeping Metaphor: Origin, Application, Advantages, Disadvantages, and Impact on Forensic Medicine Teaching. [PDF]

Acad Forensic Pathol
Parmar P, Rathod G.
europepmc   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

Ancient architecture image classification with progressive stacking pseudoinverse learning. [PDF]

Sci Rep
Cai Z, Sun X, Zhang S, Zhao Z, Wu P.
europepmc   +1 more source