Nil by mouth in intensive care - A qualitative, multiformat survey exploring the impact of mandatory oral restriction, from the health care providers perspective.

Introduction And Objectives: Nil by mouth (NBM) is a frequent imposition for patients recovering from critical illness. Its impact on patients' wellbeing and rehabilitation is under researched. We sought ICU multidisciplinary opinion to primarily assess the relevance of taste deprivation on patient care and recovery, and to identify future opportunities for innovation and research.

Mapping chromatin interactions at melanoma susceptibility loci and cell-type specific dataset integration uncovers distant gene targets of -regulation.

Genome-wide association studies (GWAS) of melanoma risk have identified 68 independent signals at 54 loci. For most loci, specific functional variants and their respective target genes remain to be established. Capture-HiC is an assay that links fine-mapped risk variants to candidate target genes by comprehensively mapping cell-type specific chromatin interactions.

The theory of mind hypothesis of autism: A critical evaluation of the status quo.

The theory of mind (ToM) hypothesis of autism is the idea that difficulties inferring the mental states of others may explain social communication difficulties in autism. In the present article, we critically evaluate existing theoretical accounts, concluding that none provides a sufficient explanation of ToM in autism. We then evaluate existing tests of ToM, identifying problems that limit the validity of the conclusions that may be drawn from them.

SEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single-Cell Gene Expression.

The dynamics of chromatin conformation involve continuous and reversible changes within the nucleus of a cell, which participate in regulating processes such as gene expression, DNA replication, and damage repair. Here, SEE is introduced, an artificial intelligence (AI) method that utilizes autoencoder and transformer techniques to analyze chromatin dynamics using single-cell RNA sequencing data and a limited number of single-cell Hi-C maps. SEE is employed to investigate chromatin dynamics across different scales, enabling the detection of (i) rearrangements in topologically associating domains (TADs), and (ii) oscillations in chromatin interactions at gene loci.