Results 31 to 40 of about 95,816 (267)
Machine Learning and Computational Mathematics [PDF]
Neural network-based machine learning is capable of approximating functions in very high dimension with unprecedented efficiency and accuracy. This has opened up many exciting new possibilities, not just in traditional areas of artificial intelligence, but also in scientific computing and computational science.
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Machine-learning mathematical structures
We review, for a general audience, a variety of recent experiments on extracting structure from machine-learning mathematical data that have been compiled over the years. Focusing on supervised machine-learning on labeled data from different fields ranging from geometry to representation theory, from combinatorics to number theory, we present a ...
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ANALYSIS ON STUDENTS’ MATHEMATICS ACHIEVEMENT BASED ON LEARNING STYLES
This descriptive and comparative study aims to see the students learning styles and mathematics achievements. The respondent are fifty junior high school students in Lembang, West Bandung, Indonesia. The research instruments are Perceptual Learning Style
Louise M Saija
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Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
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The aim of the research was to find out the effect of learning models on mathematics achievement viewed from the student learning style. The learning model compared were snowball throwing and NHT (Numbered Head Together).
Nurina Kurniasari Rahmawati +1 more
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Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source
THE MATHEMATICS LEARNING MODEL’S FOR EARLY GRADE STUDENTS: CONTEXTUAL OR PROBLEM-BASED LEARNING
This research aimed to know the appropriate learning model was applied in early grade mathematics learning by showed the differences in mathematics learning outcomes of students who use contextual teaching-learning and problem-based learning.
Moh. Farizqo Irvan +2 more
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There has been substantial research undertaken on the integration of computational thinking (CT) in K-12 mathematics education in recent years, particularly since 2018 when relevant systematic reviews were conducted on the topic.
Huiyan Ye +3 more
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ISLAMIC VALUES IN MATHEMATICS LEARNING THROUGH THE REALISTIC MATHEMATICS EDUCATION (RME) MODEL
Mathematics is one of the subjects that are less attractive to students who attend Islamic boarding schools. They assume that mathematics has nothing to do with Islamic values.
Ukhti Raudhatul Jannah +2 more
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A webMathematica Application for Mathematics Learning [PDF]
In this talk we would like to present MoMAMath, an on-line interactive software for mathematics learning, based on Mathematica and WebMathematica. The software has been realized by the authors and it has been experimented to support classical courses of basic mathematics for first year engineering students at the University of Salerno. MoMAMath aims to
SALERNO, Saverio +2 more
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