Results 141 to 150 of about 907,141 (332)
A reproducible synthesis to control 3D/0D phase ratios via water‐tuned solvent–antisolvent methods is presented. Enhanced scintillation yield and ultrafast decay are achieved. Defect‐driven emission mechanisms are revealed through cathodoluminescence and radioluminescence, shedding light on the underexplored role of the 0D Cs4PbBr6 and mixed 0D/3D ...
Mario Calora +18 more
wiley +1 more source
Mathematical semiotic representation is the ability to analyze and express mathematical ideas or notions of a phenomenon and everyday problem situations into the form of signs, images, symbols, and symbols that represent them and provide meaning and ...
Dwi Tri Fresti Firnanda, Indah Wahyuni
doaj +1 more source
Mathematical problem solving and multiple representation ability is essential to develop. So it needs a study to facilitate the students to be active, interesting and challenging for students to think and therefore contributes to the students ability to ...
Sarah Inayah
doaj +1 more source
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
The purpose of this study was to determine whether there is any difference between students’ mathematical representation ability who were taught by using the learning model of Project Based Learning with students who were taught by Guided Discovery ...
Nanang Supriadi +6 more
doaj +1 more source
PENGARUH PEMBELAJARAN MATEMATIKA MELALUI STRATEGI REACT DENGAN PENDEKATAN OPEN ENDED TERHADAP KEMAMPUAN REPRESENTASI MATEMATIS DAN KECEMASAN MATEMATIKA SISWA SMA KELAS XI. [PDF]
Kemampuan representasi matematis memiliki peran penting dalam proses pembelajaran matematika untuk mengembangkan kemampuan kognitif siswa. Karena kemampuan representasi masih kurang optimal dan memuaskan, diperlukan sebuah penerapan pendekatan ...
Setyowati, Dina Putri
core
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
: This research aims to describe the mathematical representation ability of students with reflective cognitive style in solving geometric problems. The subjects of this study were two students whose reflective cognitive style were selected based on the ...
Fitratur Rahmah +2 more
doaj +1 more source
PENERAPAN PEMBELAJARAN MATEMATIKA MELALUI METODE PENEMUAN TERBIMBING UNTUK MENINGKATKAN KEMAMPUAN REPRESENTASI MATEMATIS SISWA SMP KELAS VIII: Penelitian Kuasi Eksperimen terhadap Siswa Kelas VIII di SMPN 3 Lembang [PDF]
Kemampuan representasi matematis memiliki peran penting dalam proses pembelajaran matematika untuk mengembangkan kemampuan kognitif siswa. Karena kemampuan representasi masih kurang optimal dan memuaskan, diperlukan sebuah penerapan metode pembelajaran ...
Akbar, M. Faridhul
core

