Results 101 to 110 of about 3,640,811 (251)

Composed Mathematical-Informational modeling of column-base connections

Latin American Journal of Solids and Structures
Depending on the type of structural analysis required, any moment-rotation curve representation can be used; these include linear, bilinear, multi-linear and nonlinear representations. The most accurate representation uses continuous nonlinear functions.
G.R. Abdollahzadeh, F. Ghobadi
doaj   +1 more source

The Mathematics of Connection

This manuscript presents a theoretical framework that started as one person's attempt to understand whether connection persists when all normal channels of communication are severed—and accidentally turned into a systematic theory of dark energy, dark matter, and cosmological structure. The author is not a credentialed physicist.
openaire   +2 more sources

Twin Crystal Moiré Metasurfaces for Crossing Flat‐Band Transport

Advanced Functional Materials, EarlyView.
This study introduces twin crystal moiré metasurfaces, breaking in‐plane symmetry to enable reconfigurable acoustic wave manipulation. By adjusting the twin angle and interlayer twist angle, various combinations of hyperbolic, flat bands, and elliptic states can be synthesized in the system.
Shida Fan, Chenglin Han, Kuan He, Chadi Ellouzi, Yunlong Wang, Li‐Qun Chen, Jie Sun, Zhaodong Xu, Chen Shen, Tianzhi Yang   +9 more
wiley   +1 more source

Connective Intelligence for childhood mathematics education

Comunicar, 2017
The construction of a connective brain begins at the earliest ages of human development. However, knowledge about individual and collective brains provided so far by research has been rarely incorporated into Maths in Early Childhood classrooms. In spite of that, it is obvious that it is at these ages when the learning of mathematics acts as a nuclear ...
María-Luisa Novo, Ángel Alsina, José-María Marbán, Ainhoa Berciano   +3 more
openaire   +3 more sources

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 more
wiley   +1 more source

Improving external mathematical connections and students’ activity using ethnomathematics

Journal of Physics: Conference Series, 2019
Most students repute that mathematics is a difficult subject and has no connections in real life. It makes students’ external mathematical connections to be low, students less active in learning process, and it affected on the low achievement of students
D A Kusuma, D. Suryadi, J. Dahlan
semanticscholar   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Connections between physics, mathematics, and deep learning [PDF]

Letters in High Energy Physics, 2019
Version 1 and 2 title was: How the fundamental concepts of mathematics and physics explain deep learning. Version 3 with the new title is accepted in LHEP. It is enriched by a new chapter on the Bayesian Information criterion seen as an application of renormalisation theory.
openaire   +3 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Exploring the Interaction Between Mathematical Connections and Problem Posing Skills in Prospective Teachers: A Study on the Concept of Function

e-Kafkas Eğitim Araştırmaları Dergisi
This study aimed to investigate how preservice mathematics teachers employ their mathematical connection skills when posing problems within the context of the concept of function, as well as to explore whether an interaction exists between problem-posing
Solmaz Damla Gedik Altun, Nazan Mersin
doaj