Results 31 to 40 of about 4,789,872 (297)

Designing Physics Learning Based on Local Potential During New Normal Era

Journal of Innovation in Educational and Cultural Research, 2022
This research explored and looked forward to the competencies and objectives of the feasibility of learning designs needed for the post-quarantine era of the COVID-19 pandemic in Indonesia, especially in Papua.
Indah Slamet Budiarti, Winarti Winarti, Viyanti Viyanti   +2 more
doaj   +1 more source

Trail records and navigational learning [PDF]

, 2003
An emerging wave of 'ambient' technologies has the potential to support learning in new and particular ways. In this paper we propose a 'trail model' of 'navigational learning' which links some particular learning needs to the potentialities of these ...
Levene, Mark, Peterson, Don
core   +1 more source

Machine learning for interatomic potential models [PDF]

The Journal of Chemical Physics, 2020
The use of supervised machine learning to develop fast and accurate interatomic potential models is transforming molecular and materials research by greatly accelerating atomic-scale simulations with little loss of accuracy. Three years ago, Jörg Behler published a perspective in this journal providing an overview of some of the leading methods in this
Tim Mueller, Alberto Hernandez, Chuhong Wang   +2 more
openaire   +2 more sources

Estimation of Water Potential in Corn Plants Using Machine Learning Techniques with UAV Imagery and Evaluating the Effect of Flying Height

Engineering Proceedings, 2023
The use of unmanned aerial vehicles (UAVs) in precision agriculture has proven to be a useful tool for crop monitoring. The use of this technology in irrigation water management represents a significant improvement opportunity compared to the tools ...
Audberto Reyes-Rosas, Francisco M. Lara-Viveros, Lizeth Chávez-Cerón, Sasirot Khamkure   +3 more
doaj   +1 more source

Prototype system for supporting the incremental modelling of vague geometric configurations [PDF]

, 1997
In this paper the need for Intelligent Computer Aided Design (Int.CAD) to jointly support design and learning assistance is introduced. The paper focuses on presenting and exploring the possibility of realizing learning assistance in Int.CAD by ...
Duffy, A.H.B., Guan, X., MacCallum, K.J.
core   +1 more source

Integration of Multiple Intelligence Theory in Curriculum Implementation for Developing Student Potential in Indonesia

Mimbar Sekolah Dasar
Education in Indonesia is experiencing a transformation through the integration of multiple intelligence theories in the curriculum to optimize student potential. The problem is the need to develop students' potential holistically to prepare them to face
Jefri Setyawan, Jitu Halomoan Lumbantoruan, Hanida Listiani, Loso Judijanto   +3 more
doaj   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

A New Physics-Inspired Discriminative Classifier [PDF]

AUT Journal of Electrical Engineering
Concepts and laws of physics have been a valuable source of inspiration for engineers to overcome human challenges and problems. Classification is an important example of such problems that play a major role in various fields of engineering sciences.
Mostafa Monemizadeh, Seyed Rouhollah Samareh Hashemi, Mohsen Sheikh-Hosseini, Hamed Fehri   +3 more
doaj   +1 more source

Impact of training and validation data on the performance of neural network potentials: A case study on carbon using the CA-9 dataset

Carbon Trends, 2021
The use of machine learning to accelerate computer simulations is on the rise. In atomistic simulations, the use of machine learning interatomic potentials (ML-IAPs) can significantly reduce computational costs while maintaining accuracy close to that of
Daniel Hedman, Tom Rothe, Gustav Johansson, Fredrik Sandin, J. Andreas Larsson, Yoshiyuki Miyamoto   +5 more
doaj   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source