Components of multiple health behaviour change interventions for patients with chronic conditions: a systematic review and meta-regression of randomized trials.

Interventions addressing more than one health behaviour at a time could be an efficient way of intervening to manage chronic conditions. Within a systematic review of multiple health behaviour change (MBHC) interventions, we identified key components of interventions in patients with chronic conditions, assessed how they are linked to theory, behaviour change techniques implemented, and evaluated their impact on intervention effectiveness. Studies were identified by systematically searching five electronic databases.

BIMSA: accelerating long sequence alignment using processing-in-memory.

Motivation: Recent advances in sequencing technologies have stressed the critical role of sequence analysis algorithms and tools in genomics and healthcare research. In particular, sequence alignment is a fundamental building block in many sequence analysis pipelines and is frequently a performance bottleneck both in terms of execution time and memory usage. Classical sequence alignment algorithms are based on dynamic programming and often require quadratic time and memory with respect to the sequence length.

Nutritional, molecular, and functional properties of a novel enzymatically hydrolyzed porcine plasma product.

In the present study, an enzymatically hydrolyzed porcine plasma (EHPP) was nutritionally and molecularly characterized. EHPP molecular characterization showed, in contrast to spray-dried plasma (SDP), many peptides with relative molecular masses (Mr) below 8,000, constituting 73% of the protein relative abundance. IIAPPER, a well-known bioactive peptide with anti-inflammatory and antioxidant properties, was identified.

Effectiveness of Interventions for Changing More Than One Behavior at a Time to Manage Chronic Conditions: A Systematic Review and Meta-analysis.

Background: Health behaviors play a significant role in chronic disease management. Rather than being independent of one another, health behaviors often co-occur, suggesting that targeting more than one health behavior in an intervention has the potential to be more effective in promoting better health outcomes.

Purpose: We aimed to conduct a systematic review and meta-analysis of randomized trials of interventions that target more than one behavior to examine the effectiveness of multiple health behavior change interventions in patients with chronic conditions.

WFA-GPU: gap-affine pairwise read-alignment using GPUs.

Motivation: Advances in genomics and sequencing technologies demand faster and more scalable analysis methods that can process longer sequences with higher accuracy. However, classical pairwise alignment methods, based on dynamic programming (DP), impose impractical computational requirements to align long and noisy sequences like those produced by PacBio and Nanopore technologies. The recently proposed wavefront alignment (WFA) algorithm paves the way for more efficient alignment tools, improving time and memory complexity over previous methods.