Results 111 to 120 of about 1,579,753 (313)

Responses of Withdrawal Interneurons to Serotonin Applications in Naïve and Learned Snails Are Different

Frontiers in Cellular Neuroscience, 2017
Long-term changes in membrane potential after associative training were described previously in identified premotor interneurons for withdrawal of the terrestrial snail Helix.
Tatiana K. Bogodvid, Tatiana K. Bogodvid, Vyatcheslav V. Andrianov, Irina B. Deryabina, Lyudmila N. Muranova, Dinara I. Silantyeva, Aliya Vinarskaya, Pavel M. Balaban, Khalil L. Gainutdinov   +8 more
doaj   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Using videoconferencing in a school-scientist partnership: students’ perceptions and scientists’ challenges [PDF]

, 2012
This research studied a series of videoconference teaching workshops and virtual labs, which formed a component of a school-scientist partnership involving a New Zealand science research institute and year 13 students at a Wellington high school.
Falloon, Garry, Garry Falloon
core   +1 more source

Evidential deep learning for interatomic potentials

Nature Communications
Machine learning interatomic potentials (MLIPs) have been widely used to facilitate large-scale molecular simulations with accuracy comparable to ab initio methods. In practice, MLIP-based molecular simulations often encounter the issue of collapse due to reduced prediction accuracy for out-of-distribution (OOD) data.
Han Xu, Taoyong Cui, Chenyu Tang, Jinzhe Ma, Dongzhan Zhou, Yuqiang Li, Xiang Gao, Xingao Gong, Wanli Ouyang, Shufei Zhang, Mao Su   +10 more
openaire   +3 more sources

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Development of Machine Learning Atomistic Potential for Molecular Simulation of Hematite–Water Interfaces

Crystals
A novel approach for constructing a machine-learned potential energy surface (MLP) from unlabeled training data is presented. Utilizing neural networks augmented with a pool-based active learning sampling method, a potential energy surface (PES) is ...
Mozhdeh Shiranirad, Niall J. English
doaj   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Assessment of learning potential using a modified version of the coloured progressive matrices

, 1986
An assessment procedure to measure the learning potential of mildly and moderately mentally handicapped adults was investigated in this study. The procedure was developed to overcome the limitations of previously established learning potential assessment
Friedle, Robert E.
core  

Developing AI into Explanatory Supporting Models:An Explanation-visualized Deep Learning Prototype for Computer Supported Collaborative Learning

, 2020
Using Artificial Intelligence (AI) and machine learning technologies to automatically mine latent patterns from educational data holds great potential to inform teaching and learning practices.
Zhao, Guoying, Chen, Haoyu, Praharaj, S., Lee, Yoon, Specht, M.M., Tan, Esther   +5 more
core  

The Potential of RICOSRE's Learning Model in Improving Cognitive Learning Outcomes

Jurnal Pendidikan Sains, 2019
: Cognitive learning outcomes are learning outcomes that focus on intellectual knowledge. Some researches showed that the students learning outcomes of high school in Malang were still need improved.
Irma Dahlia Yuliskurniawati, Susriyati Mahanal, Siti Zubaidah, Abdul Gofur   +3 more
doaj   +1 more source