Modelling pacemaker oscillations in lymphatic muscle cells: lengthened action potentials by two distinct system effects.

Lymphatic system failures contribute to cardiovascular and various other diseases. A critical function of the lymphatic vascular system is the active pumping of fluid from the interstitium back into the blood circulation by periodic contractions of lymphatic muscle cells (LMCs) in the vessel walls. As in cardiac pacemaking, these periodic contractions can be interpreted as occurring due to linked pacemaker oscillations in the LMC membrane potential (M-clock) and calcium concentration (C-clock).

Membrane Vesicles Can Contribute to Cellulose Degradation by Teredinibacter turnerae, a Cultivable Intracellular Endosymbiont of Shipworms.

Teredinibacter turnerae is a cultivable cellulolytic Gammaproteobacterium (Cellvibrionaceae) that commonly occurs as an intracellular endosymbiont in the gills of wood-eating bivalves of the family Teredinidae (shipworms). The genome of T. turnerae encodes a broad range of enzymes that deconstruct cellulose, hemicellulose and pectin and contribute to wood (lignocellulose) digestion in the shipworm gut.

Codesign of a Neurological Physiotherapy Student-Led Clinic With Students and Patients: An Exploratory Qualitative Study.

Introduction: This study explores students' and patients' views of a UK physical therapy student-led clinic (SLC) for neurological rehabilitation and, using a codesign approach, it proposes an optimal design of a physical therapy SLC for neurological rehabilitation for patient participation and student learning.

Review Of Literature: There is a paucity of literature examining experiences of neurological rehabilitation SLCs. Although research supports the utilization of codesign methodologies with patients and for curriculum development, there remains a gap regarding its application to SLCs in physical therapy for individuals with neurological conditions.

Learning From Human Attention for Attribute-Assisted Visual Recognition.

With prior knowledge of seen objects, humans have a remarkable ability to recognize novel objects using shared and distinct local attributes. This is significant for the challenging tasks of zero-shot learning (ZSL) and fine-grained visual classification (FGVC), where the discriminative attributes of objects have played an important role. Inspired by human visual attention, neural networks have widely exploited the attention mechanism to learn the locally discriminative attributes for challenging tasks.