Results 201 to 210 of about 13,149 (304)

A multi-million-year natural experiment: Comparative genomics on a massive scale and its implications for human health. [PDF]

Evol Med Public Health
Rivas-González I, Tung J.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

Advanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang, Dhirodaatto Sarkar, Jiaqi Suo, Alex Chortos   +3 more
wiley   +1 more source

Cognitive impairment in the schizophrenia spectrum: exploring the relationships of the g-factor with sociodemography, psychopathology, neurodevelopment, and genetics. [PDF]

Psychol Med
Yeh D, He Q, Krebs E, Iftimovici A, Martinez G, Bourgin-Duchesnay J, Mouaffak F, Danset-Alexandre C, de Gasquet M, Jantac C, Bendjemaa N, Chaumette B, Krebs MO, Scoriels L.   +13 more
europepmc   +1 more source

Scots Peasant Proverbs

, 2008
Ralph Stewart
openalex   +2 more sources

Analysis of the Navigation of Magnetic Microrobots through Cerebral Bifurcations for Targeted Drug Delivery

Advanced Intelligent Systems, EarlyView.
The motion of magnetic microrobots through cerebral bifurcations depends on various parameters such as the microrobots size, the blood velocity, and the imposed magnetic field gradients, among others. This work presents an in‐depth analysis of the effects of these parameters and equations predicting the required magnetic gradients based on the ...
Pedro G. Alves, Maria Pinto, Rosa Moreira, Derick Sivakumaran, Fabian Landers, Maria Guix, Bradley J. Nelson, Andreas D. Flouris, Salvador Pané, Josep Puigmartí‐Luis, Tiago S. Mayor   +10 more
wiley   +1 more source

Explainable Graph Spectral Clustering of text documents. [PDF]

PLoS One
Starosta B, Kłopotek MA, Wierzchoń ST, Czerski D, Sydow M, Borkowski P.   +5 more
europepmc   +1 more source

Rapid Discovery of Sequence‐Encoded Magnetically Reconfigurable Microrobots Using Monte Carlo Simulations

Advanced Intelligent Systems, EarlyView.
A Monte Carlo simulation framework is introduced to predict the folding behavior of sequence‐encoded magnetic microrobots, enabling systematic exploration of their design space. By mapping key metrics such as radius of gyration and symmetry, the framework identifies functional sequences and predicts actuation behaviors.
Collin C. Kemper, Kendra M. Kreienbrink, Hayden J. Tomazin, Kaleb E. Hawkins, Daniel K. Schwartz, C. Wyatt Shields IV   +5 more
wiley   +1 more source

Measures used by stakeholders to mitigate Gender-Based Violence through the Ubuntu philosophy lens in South Africa. [PDF]

Front Sociol
Masutha TC, Maphula A, Moloko-Phiri S, Matsipane M, Gundo R.   +4 more
europepmc   +1 more source

Proverbs And Some Of The Usages In The Epıc Of Köroğlu

, 2008
Mehmet Emin BARS
openalex   +1 more source