Author Correction: Gas permeability, diffusivity, and solubility in polymers: simulation-experiment data fusion and multi-task machine learning by Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani, Huan Tran, Ryan Lively, Rampi Ramprasad

Get full text

The impact of organizational learning on Polish and Finnish SME’s market performance during the COVID-19 pandemic. A comparative study by Sikora Tomasz, Baranowska-Prokop Ewa

Subjects: Get full text

Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma by Di He, Zhan Yang, Tian Zhang, Yaxian Luo, Lianjie Peng, Jiatao Yan, Tao Qiu, Jingyu Zhang, Luying Qin, Zhichao Liu, Mouyuan Sun

Subjects: Get full text

Reimagining Student Success through Engagement and Soft Outcomes: Learning from a Capstone Course in a Canadian Polytechnic by Clare Mulcahy, Ashique Khan

“…Teaching & Learning Inquiry: The ISSOTL Journal…”
Get full text

Development of A Learning Performance Assessment Framework for Phase A Students Aged 6-7 Years in Elementary Education by Nurjannah Nurjannah, Eriva Syamsiatin, Jarudin Jarudin

Subjects: “…learning performance…”
Get full text

Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms by Changhong Pan, Lu Qi, Lili Zhao, Yijun Wei

Subjects: Get full text

Novel genes involved in vascular dysfunction of the middle temporal gyrus in Alzheimer’s disease: transcriptomics combined with machine learning analysis by Meiling Wang, Aojie He, Yubing Kang, Zhaojun Wang, Yahui He, Kahleong Lim, Chengwu Zhang, Li Lu

Subjects: Get full text

Ventilation Strategy for Proper IAQ in Existing Nurseries Buildings - Lesson Learned from the Research during COVID-19 Pandemic by Katarzyna Ratajczak

“…Abstract During the COVID-19 pandemic, many recommendations were made in the field of limiting the transmission of the SARS-CoV-2 virus, from which we can learn a lesson for determining ventilation strategies in strategic types of buildings (those whose closure during a pandemic is harmful to the economy, e.g., nurseries). …”
Get full text

Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

Subjects: Get full text

Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

“…<h4>Methods</h4>Machine learning components, including ridge regression, XGBoost, k-nearest neighbor, light gradient boosting machine, logistic regression, support vector machine, neural network, and random forest, were used to construct a predictive model and identify the risk factors for SPMs with data from the Surveillance, Epidemiology and End Results. …”
Get full text

Application of deep learning models on single-cell RNA sequencing analysis uncovers novel markers of double negative T cells by Tian Xu, Qin Xu, Ran Lu, David N. Oakland, Song Li, Liwu Li, Christopher M. Reilly, Xin M. Luo

“…Conventional machine learning approaches such as principal component analysis have been employed in single-cell RNA sequencing (scRNA-seq) analysis to characterize DNT cells. …”
Get full text

The role of CTGF and MFG-E8 in the prognosis assessment of SCAP: a study combining machine learning and nomogram analysis by Tingting Lin, Tingting Lin, Huimin Wan, Jie Ming, Yifei Liang, Linxin Ran, Jingjing Lu

Subjects: Get full text

Enhancing the Spatial Resolution of Sentinel-2 Images Through Super-Resolution Using Transformer-Based Deep-Learning Models by Alireza Sharifi, Mohammad Mahdi Safari

Subjects: “…Deep learning…”
Get full text

Deep Learning-Based Fully Automatic Segmentation of the Paranasal Sinuses in Chronic Rhinosinusitis Patients Using Computed Tomographic Images by Yuhang Wang, Xiaolei Zhang, Weidong Du, Na Dai, Yi Lyv, Keying Wu, Yiyang Tian, Yuxin Jie, Yu Lin, Weipiao Kang

Subjects: Get full text

Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

Subjects: Get full text

A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks by Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta

Get full text

Application on Online Process Learning Evaluation Based on Optimal Discrete Hopfield Neural Network and Entropy Weight TOPSIS Method by Chuanshuang Hu, Yongmei Ma, Ting Chen

“…How to fully consider students’ process learning status and make a reasonable evaluation of students is worthy of research. …”
Get full text

How to solve novel problems: the role of associative learning in problem-solving performance in wild great tits Parus major by Laure Cauchard, Pierre Bize, Blandine Doligez

Subjects: Get full text

Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data by Ileana Baldi, Corrado Lanera, Mohammad Junayed Bhuyan, Paola Berchialla, Luca Vedovelli, Dario Gregori

“…Conclusions: Monitoring food items using simple wristband-mounted wearable devices is feasible and accurate for some foods while unsatisfactory for others. Machine learning tools are necessary to deal with the complexity of signals gathered by the devices, and research is ongoing to improve accuracy further and work on large-scale and real-time implementation and testing.…”
Get full text

Peers To Professors: Exploring The Role Of Students And Faculty In Same-Level Reciprocal Peer Assisted Learning In Family Medicine Clerkship by Muneeza Aamir Sami, Lubna Ansari Baig, Saima Perwaiz Iqbal, Riffat Shafi, Sobia Parveen

“… Objective: Peer-assisted learning (PAL) is teaching by the learners to the learners, a teaching strategy globally integrated into curricula. …”
Get full text