Results 181 to 190 of about 215,812 (356)
PENERAPAN PENDEKATAN REALISTIC MATHEMATIC EDUCATION UNTUK MENINGKATKAN KEMAMPUAN PEMAHAMAN MATEMATIS SISWA SEKOLAH DASAR [PDF]
Erista Agustina
openalex
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
Schematic of the CO adsorption process in a fixed‐bed column containing pure NaY zeolite and Nb‐modified NaY (NaY–5%Nb). On the left, breakthrough curves and temperature profiles highlight the dynamic performance and thermal effects during CO adsorption.
Elson Oliveira +3 more
wiley +1 more source
REALISTIC MATHEMATIC EDUCATION PADA ANAK USIA DINI
Realistic Mathematic Education (RME). RME adalah pendekatan yang memandang matematika sebagai suatu kegiatan manusia (human activities), dan belajar matematika berarti bekerja dengan matematika (doing matematic). RME merupakan merupakan bentuk pembelajaran yang menggunakan dunia nyata dan kegiatan pembelajaran lebih menekankan aktivitas siswa untu ...
openaire +1 more source
Geometry learning design with crazy bamboo dance context using realistic mathematics education (RME) approach assisted by GeoGebra classroom [PDF]
Wilmintjie Mataheru +2 more
openalex +1 more source
ABSTRACT Organizations are increasingly required to integrate environmental, social, and governance (ESG) objectives alongside operational performance, yet empirical guidance on how firms should prioritize among ESG activities under resource constraints remains limited.
Minyoung Choi +2 more
wiley +1 more source
Abstract Objective Inclusion and exclusion criteria of clinical trials for seizures aim to select representative participants with a high enough seizure frequency to evaluate the efficacy of treatment in a relatively short double‐blind period. To inform the selection of seizure frequency‐based inclusion criteria, we evaluated the association between ...
Wesley T. Kerr +5 more
wiley +1 more source
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source

