LEA_4 motifs function alone and in conjunction with synergistic cosolutes to protect a labile enzyme during desiccation.

Organisms from all kingdoms of life depend on Late Embryogenesis Abundant (LEA) proteins to survive desiccation. LEA proteins are divided into broad families distinguished by the presence of family-specific motif sequences. The LEA_4 family, characterized by 11-residue motifs, plays a crucial role in the desiccation tolerance of numerous species.

What justifies public engagement in health financing decisions?

The World Bank's report, represents an important effort to specify the benefits and criteria of fair processes in health financing decisions. Here we argue that the report's justification for increasing public engagement in health financing decisions, one of its most novel contributions, rests on a widely shared but flawed assumption that public engagement will produce more equitable outcomes. Examining evidence from national-level public engagement initiatives cited in the report, we argue that there is no reason to assume that engaged publics will prioritize equity over other relevant values such as the maximization of population health.

Correlating disordered activation domain ensembles with gene expression levels.

Transcription factor proteins bind to specific DNA promoter sequences and initiate gene transcription. These proteins often contain intrinsically disordered activation domains (ADs) that regulate their transcriptional activity. Like other disordered protein regions, ADs do not have a fixed three-dimensional structure and instead exist in an ensemble of conformations.

Using Artificial Intelligence to Identify Effective Components of Computer-Assisted Cognitive Behavioural Therapy.

Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well established as an effective treatment for depression and anxiety, less is known about the specific interventions used during coaching sessions that contribute to outcomes. The current study used artificial intelligence (AI) to identify specific components of clinician-supported CCBT and correlated those scores with therapy outcomes. Data from a randomized clinical trial comparing clinician-supported CCBT with treatment as usual in a primary care setting were utilized.