Combination of mentor-based and resident-based learning may benefit to improving the ability of clinical practice in resident training by Min Li, Tao Liu, Yiqiong Wen, Min Zhang, Wenye Zhu, Xuming Wang, Yunjiao Hou, Lin Li, Anju Zu, Shibo Sun

Subjects: Get full text

LISTENING AND SPEAKING SKILLS AS LEARNING AND TARGET NEEDS IN BUSINESS ENGLISH PROGRAM FOR TOUR GUIDE DIPLOMA STUDENTS IN KENYA. by Douglas Ondara Orang'i

Subjects: Get full text

Beyond motor learning: Insights from infant magnetic resonance imaging on the critical role of the cerebellum in behavioral development by Lauren Wagner, Melis E Cakar, Megan Banchik, Emily Chiem, Siobhan Sive Glynn, Amy H Than, Shulamite A Green, Mirella Dapretto

“…We conclude that the cerebellum is implicated in many non-motor behaviors and implicit learning mechanisms in infancy. The field’s current limitations include inconsistencies in study design, a paucity of gold-standard infant neuroimaging tools, and treatment of the cerebellum as a uniform structure. …”
Get full text

Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning by Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka

Subjects: Get full text

Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

Subjects: Get full text

Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

Get full text

A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Yingyuan Liu, Yizhi Wang, Kang An

Subjects: Get full text

The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network by A.V. Medvedev, B. Lehmann

“…New artificial intelligence methods such as deep learning neural networks can provide powerful tools for automated analysis of EEG. …”
Get full text

Evaluation of Knowledge and Perception of Dental Graduates Regarding Problem-based Learning Method: A Cross-sectional Study by Bhawna Shyamsukha, Amit Reche, Anshu Agrawal, Archana Sonone, Priyanka Paul, Kumar Gaurav Chhabra

“…Introduction: Problem-based learning (PBL) is an approach to education in medical training that has benefits, such as enhanced information utilization, assimilation of basic and clinical scientific fields. …”
Get full text

Machine learning algorithm for estimating and optimizing the phytochemical content and physicochemical properties of okra slices in an infrared heating system by Hany S. El-Mesery, Ahmed H. ElMesiry, Evans K. Quaye, Zicheng Hu, Ali Salem

Subjects: Get full text

The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

Subjects: Get full text

Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

Subjects: Get full text

Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

Subjects: Get full text

UPAYA MENINGKATKAN MOTIVASI DAN HASIL BELAJAR SISWA DENGAN MODEL DISCOVERY LEARNING BERBANTUAN VIRTUAL LABORATORY by Faiz Brikinzky Adyan, Andik Purwanto, Nirwana Nirwana

“…Based in result of studied it was concluded that the application of Discovery Learning model assisted Virtual Laboratory can improve student learning activities, learning motivation of student and learning outcomes  Keywords : Model Discovery Learning, Virtual Laboratory, Learning Motivation and Learning Outcomes …”
Get full text

Development of web-based learning media with a realistic mathematics education approach to increase student self-determination by Iryana Muhammad, Al Jupri, Tatang Herman

“…This study highlights the potential benefits of web-based learning with the RME approach in mathematics education.…”
Get full text

The implementation of TPS (think pair share) cooperative learning model aided by Google hangouts in literary expression course by Fina Hiasa, Supadi Supadi, Nafri Yanti

“…This study aims to determine how the application of the TPS (Think-Pair-Share) type of cooperative learning model assisted by Google Hangout can improve the quality of learning in seventh semester students of the Indonesian Language Education Study Program, FKIP UNIB, in the Literary Expression course. …”
Get full text

Traditional games as a tool for improving psychosocial development: a comparative study of structured and progressive learning models by Rekha Ratri Julianti, Adang Suherman, Amung Ma'mun, Dian Budiana, Eka Fitri Novita Sari

“…Research Objectives: The aim is to determine the difference in the influence of a deliberately structured psychosocial learning model and a deliberately structured progressive learning model through traditional games on psychosocial development. …”
Get full text

Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression by Joseph M. Josephides, Chun-Long Chen

“…Here, we develop MnM, an efficient machine learning-based tool that allows disentangling scRT profiles from heterogenous samples. …”
Get full text

Shuffle-PG: Lightweight feature extraction model for retrieving images of plant diseases and pests with deep metric learning by Dong Jin, Helin Yin, Yeong Hyeon Gu

Subjects: Get full text

Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

Subjects: “…distributed generation, learning vector quantitation, power, entropy, total harmonic distortion.…”
Get full text