Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

Subjects: Get full text

“An Intense Level of Self-regulation”: Technological Opportunities and Limitations of Online Intergroup Dialogue by Grant Jackson, Sarah Schiffecker, Oleksandra Poquet

Subjects: Get full text

From classroom to screen: a cross-sectional study on medical students’ first experiences with e-learning during the COVID-19 pandemic by Laleh Khojasteh, Zahra Karimian, Elham Nasiri, Sedigheh Sharifzadeh, Majid Reza Farrokhi

Subjects: “…e-learning…”
Get full text

Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia by Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel

Subjects: Get full text

Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

Subjects: “…machine learning…”

MALL‐based collaborative writing in second language classroom: A systematic review by Lisha Wang

Subjects: “…mobile assisted language learning…”
Get full text

Recommended System Optimization in Social Networks Based on Cooperative Filter with Deep MVR Algorithm by Kim Hung Pho

Subjects: Get full text

Undergraduate EFL learners’ preferences for three different types of written corrective feedback by Monera Almohawes

Subjects: Get full text

Efectividad del b-learning sobre rendimiento académico y retención en estudiantes en educación a distancia by Julialba Ángel Osorio, Sandra Liliana Castiblanco

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

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

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

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

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

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

Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

Subjects: Get full text

Overview of styles, content, learning effects and attitudes of students towards digitally enhanced physiotherapy education – a scoping review by Larissa Pagels, Oskar Schindler, Kerstin Luedtke

Subjects: Get full text

Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

Subjects: Get full text