The development of students’ communication competence to improve the effectivenessof foreign language learning by Olga N. Tsypkina, Polina G. Labzina

Get full text

Insights and Opportunities: Evaluating a University Teaching and Learning Grants Program by Heather Jamniczky, Mohana Mukherjee, Rachel Stewart, Andrew Mardjetko, Rahim Pira, Natasha Kenny

Subjects: “…teaching and learning grants…”
Get full text

Machine learning for predicting strength properties of waste iron slag concrete by Matiur Rahman Raju, Syed Ishtiaq Ahmad, Md Mehedi Hasan, Noor Md. Sadiqul Hasan, Md Monirul Islam, Md. Abdul Basit, Ishraq Tasnim Hossain, Saif Ahmed Santo, Md Shahrior Alam, Mahfuzur Rahman

Subjects: Get full text

Use of Educational Films in Environmental Education as a Digital Learning Object by Merve Topal, Ezgi Guven-Yildirim, Ayse Nesibe Onder

Subjects: Get full text

Gradient purification federated adaptive learning algorithm for Byzantine attack resistance by YANG Hui, QIU Ziyou, LI Zhongmei, ZHU Jianyong

Subjects: “…federated learning…”
Get full text

Predicting early cessation of exclusive breastfeeding using machine learning techniques. by Freja Marie Nejsum, Rikke Wiingreen, Andreas Kryger Jensen, Ellen Christine Leth Løkkegaard, Bo Mølholm Hansen

“…We aimed to develop and validate two models to predict cessation of exclusive breastfeeding within one month among infants born after 35 weeks gestation using machine learning techniques.<h4>Methods</h4>Utilizing a nationwide dataset from Statistics Denmark, including infants born between the 1st of January 2014 and the 31st of December 2015, we employed random forest machine learning to develop two predictive models. …”
Get full text

Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

Subjects: “…coronary disease|machine learning|risk prediction model|logistic regression|k-nearest neighbor|support vector machine|decision tree|xgboost…”
Get full text

Reinforcement learning algorithm based on minimum state method and average reward by LIU Quan1, FU Qi-ming1, GONG Sheng-rong1, FU Yu-chen1, CUI Zhi-ming1

Subjects: “…reinforcement learning…”
Get full text

Learning from Failures: Architectures of Emergency in Contested Spaces (Pyla, Cyprus) by Socrates Stratis

Get full text

Nest excavators’ learning walks in the Australian desert ant Melophorus bagoti by Sudhakar Deeti, Donald James McLean, Ken Cheng

“…Following their initial learning expedition, these ants then engaged in nest excavation activities. …”
Get full text

Predicting noncontact injuries of professional football players using machine learning. by Diogo Nuno Freitas, Sheikh Shanawaz Mostafa, Romualdo Caldeira, Francisco Santos, Eduardo Fermé, Élvio R Gouveia, Fernando Morgado-Dias

“…This study introduces an automated injury identification and prediction approach using machine learning, leveraging GPS data and player-specific parameters. …”
Get full text

Facilitating Large Language Model Russian Adaptation with Learned Embedding Propagation by Михаил Тихомиров, Даниил Чернышев

“…Method: To tackle language-adaptation challenges, we introduce Learned Embedding Propagation (LEP), a novel method with lower training data requirements and minimal disruption of existing LLM knowledge. …”
Get full text

IMPROVING STUDENT COMPETENCE THROUGH LEARNING MANAGEMENT OUTCOME BASED EDUCATION by Khotimatul Husna, Akmal Mundiri, Abu Hasan Agus R

Subjects: Get full text

A computational deep learning investigation of animacy perception in the human brain by Stefanie Duyck, Andrea I. Costantino, Stefania Bracci, Hans Op de Beeck

“…These findings provide computational support that the Animal bias for zoomorphic objects is a unique property of human perception yet can be explained by human learning history.…”
Get full text

A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function by Mingmin Zhu, Sanyang Liu

“…Learning Bayesian network (BN) structure from data is a typical NP-hard problem. …”
Get full text

A Semi-supervised Deep Learning Method for Cervical Cell Classification by Siqi Zhao, Yongjun He, Jian Qin, Zixuan Wang

“…To address this problem, we propose a method to ensure high accuracy in cervical cell classification with a small amount of labeled data by introducing manual features and a voting mechanism to achieve data expansion in semi-supervised learning. The method consists of three main steps, using a clarity function to filter out high-quality cervical cell images, annotating a small amount of them, and balancing the training data using a voting mechanism. …”
Get full text

DeepRetention: A Deep Learning Approach for Intron Retention Detection by Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li

Get full text

Prediction of Coal Mining Subsidence Based on Machine Learning Probability Theory by Xiaohong Tian, Xinyuan Jin, Xinwei He

“…This paper mainly studies the prediction process of mining subsidence based on machine learning probability theory. In this paper, the mining subsidence problem is studied. …”
Get full text

From boredom to excitement: unleashing motivation with Kahoot in English language learning by Abdullah Noori, Asadullah Azimi

Subjects: Get full text

Learning to Be a Father: How is it done? Isn't there a manual somewhere? by Kate Fogarty, Garret D. Evans

“…Evans, discusses ways men can learn how to be good fathers. Includes recommended resources in English and Spanish, and references. …”
Get full text