Integrating behavioral and neurophysiological insights: High trait anxiety enhances observational fear learning by Xianchao Ming, Ganzhong Luo, Jinxia Wang, Haoran Dou, Hong Li, Yi Lei

Subjects: Get full text

Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning by Zheng-Meng Zhai, Mohammadamin Moradi, Ying-Cheng Lai

“…Further justification for using the LSTM is provided by our comparing its performance with that of alternative machine-learning architectures such as feedforward neural networks and random forest. …”
Get full text

Mobile-Assisted Language Learning Apps: The Analysis of Duolingo’s Content Using ACTFL Standarization by Muchsinul Khuluq, Mamluatul Hasanah, Muasshomah Muasshomah, Nurul Imamah

“…The Duolingo application offers foreign language learning, specifically Arabic, to learners worldwide. …”
Get full text

Development and validation of a deep learning-enhanced prediction model for the likelihood of pulmonary embolism by Yu Tian, Yu Tian, Jingjie Liu, Shan Wu, Yucong Zheng, Rongye Han, Qianhui Bao, Lei Li, Lei Li, Tao Yang

Subjects: Get full text

THE BIBLE, OPEN AND DISTANCE EDUCATION AND LEARNING, AND SPIRITUALITY: POSSIBILITIES IN A POST-SECULAR TIME by C. Lombaard

“…These problems are in some respects compounded in Open and Distance Education and Learning institutions such as the University of South Africa, where direct contact with students and, hence, spiritual formation (undertaken either implicitly or explicitly) is limited and media-ted. …”
Get full text

Machine learning method based on enhanced CT to predict perineural invasion of rectal cancer by Jiacheng Shen, Long Jin, Shengnan Yin

Subjects: Get full text

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications by Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang

Get full text

VSRDiff: Learning Inter-Frame Temporal Coherence in Diffusion Model for Video Super-Resolution by Linlin Liu, Lele Niu, Jun Tang, Yong Ding

Subjects: Get full text

Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…The main objective of this paper is to assess the vulnerability of reinforced concrete (RC) educational buildings in Dhaka city to seismic activity by utilizing machine learning (ML) algorithms. There are three main stages in traditional seismic vulnerability assessment: rapid visual assessment (RVA), preliminary engineering assessment (PEA), and detailed engineering assessment (DEA). …”
Get full text

Learning from wildfires: A scalable framework to evaluate treatment effects on burn severity by Caden P. Chamberlain, Garrett W. Meigs, Derek J. Churchill, Jonathan T. Kane, Astrid Sanna, James S. Begley, Susan J. Prichard, Maureen C. Kennedy, Craig Bienz, Ryan D. Haugo, Annie C. Smith, Van R. Kane, C. Alina Cansler

“…Our framework used (1) machine learning to identify key bioclimatic, topographic, and fire weather drivers of burn severity in each fire, (2) standardized workflows to statistically sample untreated control units, and (3) spatial regression modeling to evaluate the effects of treatment type and time since treatment on burn severity. …”
Get full text

Retracted: Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning by Journal of Mathematics

Get full text

Teaching Reform of “Work-Integrated Learning” in International Trade Practice from the Perspective of BDaaS by Yiting Zhu

Get full text

INTERACTIVE LEARNING TECHNOLOGIES IN HIGHER EDUCATION AS A TOOL FOR TRAINING A COMPETITIVE SPECIALIST by О. Bieliaieva, Т. Skrypnikova, Т. Khmil

Subjects: Get full text

Learning-based pattern-data-driven forecast approach for predicting future well responses by Yeongju Kim, Baehyun Min, Alexander Sun, Bo Ren, Hoonyoung Jeong

Subjects: Get full text

Estimation of Anthocyanins in Apple Leaves Based on Ground Hyperspectral Imaging and Machine Learning Models by Yu Zhang, Mi Zou, Yanjun Li, Qingrui Chang, Xing Chen, Zhiyong Dai, Weihao Yuan

Subjects: Get full text

Different Modes of Pitch Perception and Learning-Induced Neuronal Plasticity of the Human Auditory Cortex by Michael Schulte, Arne Knief, Annemarie Seither-Preisler, Christo Pantev

Get full text

Socioeconomic conditions of the family in supporting the distance learning process during the Covid-19 pandemic by Laelani Jhofiroh, Yanto Sucahyanto, Aris Munandar, OS Hardi, Samadi Samadi, Cahyadi Setiawan

“…Family socioeconomic conditions have an important role in distance learning process which is carried out during a pandemic so that this research aims toanalyze the family's economic condition of the distance learning process (PJJ) during the Covid-19 pandemic in Cibodas Jonggol Village, West Java. …”
Get full text

A machine learning based variable selection algorithm for binary classification of perinatal mortality. by Maryam Sadiq, Ramla Shah

“…The identification of significant predictors with higher model performance is the key objective in classification domain. A machine learning-based variable selection technique termed as CARS-Logistic model is proposed by coupling competitive adaptive re-weighted sampling(CARS) and logistic regression for binary classification. …”
Get full text

Prediction of end-point phosphorus content of molten steel in BOF with machine learning models by Kang Y., Ren M.-M., Zhao J.-X., Yang L.-B., Zhang Z.-K., Wang Z., Cao G.

Subjects: Get full text

Learning Curves of Macintosh Laryngoscope in Nurse Anesthetist Trainees Using Cumulative Sum Method by Panthila Rujirojindakul, Edward McNeil, Rongrong Rueangchira-urai, Niranuch Siripunt

“…Our goal was to evaluate the learning ability of nurse anesthetist trainees in their performance of orotracheal intubation with the Macintosh laryngoscope. …”
Get full text