Results 111 to 120 of about 1,297,290 (281)

Kemampuan Representasi Matematis Anak Berkebutuhan Khusus Tipe Celebral Palsy dalam Menyelesaikan Soal Matematika di Sekolah Inklusi

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan, 2019
: This study aims to analyze and describe the mathematical representation of children with special needs of the type of celebral in solving math problems in inclusive schools. This study uses a case study method with a qualitative approach.
Ahmad Farid Haebah, Subanji Subanji, Cholis Sa’dijah   +2 more
doaj   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

Peran Representasi Matematis dalam Pembelajaran Perkalian Bentuk Aljabar melalui Pendekatan Matematika Realistik

Jurnal Elemen, 2020
Algebra is an abstract topic in mathematics that should initially be learned by students in junior high school level. In order that this topic is easier to understand by students meaningfully, relevant mathematical representations should be used in the ...
Al Jupri, Dian Usdiyana, Ririn Sispiyati
doaj  

Defect‐Mediated Scintillation in Fully Inorganic Perovskites via Water‐Induced 0D/3D Phase Modulation

Advanced Functional Materials, EarlyView.
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, Francesco Carulli, Nadir Vanni, Antonella Giuri, Elena Ferrari, Matteo Masino, Laura Lazzarini, Francesca Rossi, Gianluca Accorsi, Anna Moliterni, Davide Altamura, Cinzia Giannini, Luca Cappelletti, Gianluca Quarta, Alberto Quaranta, Rosanna Mastria, Anna Paola Caricato, Sergio Brovelli, Aurora Rizzo   +18 more
wiley   +1 more source

CINDA - Chrysler Improved Numerical Differencing Analyzer computer program [PDF]

, 1967
Dimensionless multioption systems compiler computer program constructs and analyzes a mathematical model of any arbitrary one, two, or three dimensional lumped parameter representation of a physical system.
Gaski, J. D., Lewis, D. R.
core   +1 more source

Universal In Situ Isotope Exchange Raman Spectroscopy (IERS) Methodology for Measuring Oxygen Surface Exchange Dynamics Using a Probe Layer

Advanced Functional Materials, EarlyView.
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, Francesco Chiabrera, Alexander Stangl, Laetitia Rapenne, Federico Baiutti, Carmen Jiménez, Albert Tarancón, Mónica Burriel   +7 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Model Problem Based Learning Berbantuan GeoGebra dan Model Realistic Mathematics Education terhadap Representasi Matematis Siswa ditinjau dari Gaya Kognitif

Jurnal Elemen, 2020
This study aims to determine the differences in students' mathematical representations through the Problem Based Learning (PBL) model assisted by GeoGebra and Realistic Mathematics Education (RME) models, differences in the mathematical representation of
Sofri Rizka Amalia, Dian Purwaningsih, An Nur Ami Widodo, Eka Farida Fasha   +3 more
doaj  

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
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, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Students' mathematical representation ability in Learning fractions through a concrete-representational-abstract approach with a joyful learning nuance

Primary: Jurnal Pendidikan Guru Sekolah Dasar
Mathematical representation ability is crucial in understanding fraction concepts, especially for elementary school students still in the concrete cognitive development stage.
Fuad Nasir, Gunawan, Shanti Nurhidayah, Salsabila Anindiyah, Yudistira Indra Prahasta Putra Elwanda, Setiyani, Rahmad Khodari, Mohammad Dadan Sundawan, Laelasari   +8 more
doaj   +1 more source