Predicting cardiovascular disease and all-cause mortality using the lymphocyte-to-monocyte ratio: Insights from explainable machine learning models by Jichao Wu, Die Huang, Jiefang Li, Jingxing Yi, Yu Lei, Jun Yin

Get full text

Learning to Shape Transformation – How Individual Schools can be Supported in Implementing a Newly Developed ESD Curriculum with Training Concept by Lindau-Bank Detlev, Stein Margit

Get full text

MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images by Tianhu Zhao, Tianhu Zhao, Yong Yue, Hang Sun, Jingxu Li, Yanhua Wen, Yudong Yao, Wei Qian, Yubao Guan, Shouliang Qi, Shouliang Qi

Subjects: Get full text

Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

Subjects: Get full text

FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

Subjects: “…Graph federated learning…”
Get full text

Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling by R. J. O'Loughlin, D. Li, R. Neale, T. A. O'Brien, T. A. O'Brien

“…In this review and perspective paper, we suggest that, in addition to using XAI methods, AI researchers in climate science can learn from past successes in the development of physics-based dynamical climate models. …”
Get full text

Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…Subsequently, a parameter adaptive adjustment method based on Q-learning is proposed, which significantly augments the clustering performance of K-means. …”
Get full text

ONLINE INSTRUCTIONAL STRATEGIES FOR ENGLISH LANGUAGE LEARNING DURING COVID-19 PANDEMIC: A CASE FROM A CREATIVE TEACHER by Abdul Halim, Sunarti Sunarti

Subjects: Get full text

Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study by Hui-min Mao, Kai-ge Chen, Bin Zhu, Wan-liang Guo, San-li Shi

Subjects: Get full text

PENERAPAN PROJECT BASED LEARNING MODEL UNTUK MENINGKATKAN SIKAP ILMIAH MAHASISWA DALAM RANGKA MENGHADAPI ERA MERDEKA BELAJAR by Andik Purwanto, Desy Hanisa Putri, Dedy Hamdani

“…One learning model that can make students critical in the learning process is to use the Project Based Learning Model. …”
Get full text

A Novel Approach to Test-Induced Defect Detection in Semiconductor Wafers, Using Graph-Based Semi-Supervised Learning (GSSL) by Pedram Aridas, Narendra Kumar, Anis Salwa Mohd Khairuddin, Daniel Ting, Vivek Regeev

Subjects: Get full text

Operative Time Learning Curve for an Image-Free Robotic Arm Assisted Total Knee Arthroplasty: A Cumulative Sum Analysis by Cale A. Pagan, MD, Theofilos Karasavvidis, MD, Breana Siljander, MD, Eytan M. Debbi, MD, PhD, Charles A. DeCook, MD, Jonathan Vigdorchik, MD

Subjects: Get full text

Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

Subjects: Get full text

User Interface And User Experience Design Mathematics Learning Applications Flat Sided Space Building Materials For Junior High School by Elvara Purwati, Ahmad Anis Abdullah

Subjects: “…Mathematical Learning Media Application, User Interface, User Experience, ADDIE Development, Three-Dimensional Flat Sided…”
Get full text

Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning by CHEN Zhe, WEI Meijia, LIN Da, LI Zhihao, CHEN Jian

“…To address these challenges， this paper， using scenario approach and deep reinforcement learning （DRL）， proposes a two-stage multi-timescale optimal scheduling method for electricity-hydrogen coupling systems considering uncertainties of wind and solar power generation. …”
Get full text

THE EFFECT OF USING INQUIRY BASED LEARNING STRATEGY ON STUDENTS SPEAKING ABILITY ( A Case Study at SMAN 7 Bengkulu Selatan) by Yogi Irawan, Syahrial Syahrial, Dedi Sofyan

Get full text

Assessment Design And Practices Toward Holistic Learning Of Higher Education Students: Empirical Evidence Via Path Analysis Modelling Approach by Ebenezer Afrifa-Yamoah, Esther Adama, Amanda Graf, Kwadwo Adusei-Asante

“…Journal of the Scholarship of Teaching and Learning…”
Get full text

Multi-objective optimization of SUS430C steel turning process using hybrid machine learning and evolutionary algorithm approach by Nguyen Van-Canh, Nguyen Anh-Thang, Pham Ngoc-Linh, Nguyen Thuy-Duong

Get full text

Personalized Injury Reduction Strategies in Sports Medicine: Lessons Learned from Advances in Breast Cancer Treatment: A Clinical Commentary by Garrett Bullock, Gary Collins, Rober Adams, Charles Thigpen, Ellen Shanley

“… # Clinical Question How can sports physical therapists identify and apply lessons learned from other healthcare fields to improve athlete injury risk and risk management strategies? …”
Get full text

A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography by Malin Kristin Meier, Ramon Andreas Helfenstein, Adam Boschung, Andreas Nanavati, Adrian Ruckli, Till D. Lerch, Nicolas Gerber, Bernd Jung, Onur Afacan, Moritz Tannast, Klaus A. Siebenrock, Simon D Steppacher, Florian Schmaranzer

“…When tested on the external dataset, the DSC was 0.89 ± 0.02 (0.88–0.90) and 0.71 ± 0.04 (0.69–0.73) for cartilage and labrum, respectively.The presented deep learning approach accurately segments hip cartilage and labrum from 3D MRI sequences and can potentially be used in clinical practice to provide rapid and accurate 3D MRI models.…”
Get full text