The transition from school to university in mathematics education research: new trends and ideas from a systematic literature review. [PDF]
Di Martino P, Gregorio F, Iannone P.
europepmc +1 more source
Chemical Mechanical Polishing of Plasma‐Modified Cu/Polymer Interfaces for Advanced Hybrid Bonding
Hybrid bonding demands planarization of Cu/polymer interfaces, but soft polymers like benzocyclobutene (BCB) are difficult to polish by conventional chemical mechanical polishing (CMP). It is demonstrated that Ar plasma modification transforms BCB into a CMP‐compatible surface, enabling effective planarization and void‐free bonding.
Sukkyung Kang +5 more
wiley +1 more source
Integrating Social and Emotional Learning into Mathematics Education: A Multiple Case Study of JUMP Math's Approach to Creating Socially and Emotionally Supportive Learning Environments. [PDF]
Molyneux TM, Diamond A.
europepmc +1 more source
Bringing the home into school: learning and connecting through mathematics education during the time of a pandemic. [PDF]
Hunter J +3 more
europepmc +1 more source
A high‐throughput in silico calculations for NO3RR based on transition metal doped and nitrogen decorated biphenylene network are performed. A symbolic regression is designed to capture the hidden descriptors of NO3RR for hyper dimensional system entailing large geometric variability.
Zheng Shu +9 more
wiley +1 more source
A systematic literature review on analytical thinking development in mathematics education: trends across time and countries. [PDF]
Wang M, Mohd Matore MEE, Rosli R.
europepmc +1 more source
COVID-19 and the use of digital technology in mathematics education. [PDF]
Alabdulaziz MS.
europepmc +1 more source
Mathematics Education in Multilingual Contexts for the Indigenous Population in Latin America
Aldo Parra +3 more
openalex +1 more source
Implementation of Realistic Mathematics Education at SMKN 1 Pujer with the Theme of Online Lending
Ageng Jelly Purwanto
openalex +1 more source
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source

