Introduction Trauma-informed practices for teaching and learning require further exploration to better understand the ways in which school leaders can effectively implement and sustain trauma-informed practice as a whole-school approach…

Introduction Intracranial electroencephalography (iEEG) provides exquisite detail with which to study neural activity. Stereotactic EEG (sEEG), strips, grids and depth electrodes are among the most common iEEG modalities. Modern diagnostic…

Introduction According to the estimates of cancer burden by GLOBOCAN 2020, lung cancer remained the most common cancer type and the leading cause of cancer death in China (Cao et…

Introduction In recent years, there has been increasing use of e-learning and blended learning in continuing medical education (1–4). However, comprehensive design, implementation, and impact evaluation methods are needed for…

1 Introduction The research on deep learning has brought remarkable progress in many interdisciplinary fields, such as medical image analysis Litjens et al. (2017) Lundervold and Lundervold, (2019) Zhou et…

Introduction The success of machine learning (ML) for hydrological modeling, and in particular, the unprecedented skill of deep learning (DL) models for streamflow prediction, has emphasized the value of data-driven…

Pre-post survey The ALS tool demonstrated significant improvements in 14 statements relating to all five domains (D1-5). Pre and post descriptive statistics by question and/or domain are depicted in Tables…

Introduction Early childhood development refers to the continuous process in which children acquire cognition, language, movement, interpersonal communication, and emotional management from the embryonic period to 8 years of age…

Dataset We used the Malaria Genomic Epidemiology Network (MalariaGEN) dataset, which consists of 20,854 individuals (10,791 malaria-affected individuals and 10,063 controls) from 11 global populations (Table 1). This dataset comes…

In the present study, the results suggested that the ML model could be an effective tool for risk stratification and prediction of post-transplant AKI stage 3 for individual patients. The…