A programmable environment for shape optimization and shapeshifting problems.

Soft materials underpin many domains of science and engineering, including soft robotics, structured fluids, and biological and particulate media. In response to applied mechanical, electromagnetic or chemical stimuli, such materials typically change shape, often dramatically. Predicting their structure is of great interest to facilitate design and mechanistic understanding, and can be cast as an optimization problem where a given energy function describing the physics of the material is minimized with respect to the shape of the domain and additional fields.

Early tumour necrosis factor antagonist treatment prevents perianal fistula development in children with Crohn's disease: post hoc analysis of the RISK study.

Background: One in three children with Crohn's disease develop perianal fistula complications (PFCs), among the most disturbing and difficult-to-treat disease-related complications. Retrospective evidence suggests PFCs may be preventable.

Objective: We aimed to determine if early antitumour necrosis factor-alpha (anti-TNF⍺) therapy prevents PFC development in a well-characterised prospective cohort of paediatric patients with Crohn's disease who were free from PFC at enrolment.

Sulfated Cellulose Nanofiber Hydrogel with Mucus-Like Activities for Virus Inhibition.

Mucus is the first defense barrier against viruses in the human immune system. Inspired by the mucus structure, we designed a highly sulfated hydrogel to bind viruses and prevent infection of the underlying cells. The hydrogel was formed by gelation of sulfated cellulose nanofiber (SCNF) with Ca.