Medical student attitudes to patient involvement in healthcare decision-making and research.

Objective: Patient involvement is used to describe the inclusion of patients as active participants in healthcare decision-making and research. This study aimed to investigate incoming year 1 medical (MBChB) students' attitudes and opinions regarding patient involvement in this context.

Methods: We established a staff-student partnership to formulate the design of an online research survey, which included Likert scale questions and three short vignette scenarios designed to probe student attitudes towards patient involvement linked to existing legal precedent.

The effect of Ramadan and intermittent fasting on the development of -induced peptic ulcers.

A considerable portion of the world's population practices fasting, for religious purposes like Ramadan or to adopt a healthier lifestyle such as intermittent fasting. During this period, individuals undergo metabolic changes that alter their internal environment. The literature was analysed to identify a possible relationship between fasting and the development of -induced peptic ulcers.

The neglect of researchers during the first COVID-19 pandemic induced national lockdown in India: inside the lives of JNU's research scholars.

Unlabelled: This p aper discusses the main findings of a study on the impact of the first COVID-19 induced nationwide lockdown and university closure in India on the research scholars (PhD and MPhil) of the Jawaharlal Nehru University (JNU). An online survey was employed using the quantitative descriptive methodology. With responses from 530 research scholars, this is one of the first quantitative studies to assess the pandemic's effect on the research work, finances, and mental health of researchers in India from March to June 2020.

Is the Contralateral Delay Activity (CDA) a robust neural correlate for Visual Working Memory (VWM) tasks? A reproducibility study.

Visual working memory (VWM) allows us to actively store, update, and manipulate visual information surrounding us. While the underlying neural mechanisms of VWM remain unclear, contralateral delay activity (CDA), a sustained negativity over the hemisphere contralateral to the positions of visual items to be remembered, is often used to study VWM. To investigate if the CDA is a robust neural correlate for VWM tasks, we reproduced eight CDA-related studies with a publicly accessible EEG data set.

Deep learning-based electroencephalography analysis: a systematic review.

Context: Electroencephalography (EEG) is a complex signal and can require several years of training, as well as advanced signal processing and feature extraction methodologies to be correctly interpreted. Recently, deep learning (DL) has shown great promise in helping make sense of EEG signals due to its capacity to learn good feature representations from raw data. Whether DL truly presents advantages as compared to more traditional EEG processing approaches, however, remains an open question.