Supporting decision-making for industrial symbioses using a hybrid modelling approach and its application to wastewater treatment.

Industrial Symbiosis (InSym) capitalises on the proximity of entities to gain a competitive advantage through collective strategies. Within the Circular Economy, this involves the circular exchange and reuse of water, energy, and resources among participating businesses, enhancing resource valorisation in manufacturing. However, as a distinct business model, InSym requires collaboration among multiple stakeholders working toward a shared goal, posing challenges in achieving mutually beneficial outcomes.

Association of genotypes with hemochromatosis-related phenotypes in the All of Us research program.

Purpose: Type 1 hereditary hemochromatosis (HH) can result in iron overload and liver disease if not detected and treated early. Most cases are found among people homozygous for p.Cys282Tyr variants.

Physician modification of the Gore conformable endovascular aortic device using inner branches.

Endovascular aortic repair has become the preferred treatment modality for patients with abdominal aortic aneurysms. However, there are no commercially available endovascular options in patients with infrarenal necks measuring <4 mm. To address the limitations of commercially available options, physician-modified endografts became a technique used by vascular surgeons.

Towards the development of an online platform for an industry metabolic pathway.

This paper presents the design of a web-based decision co-creation platform to showcase water treatment technologies connected via industrial symbiosis for a circular economy approach. The platform is developed as part of the EU H2020-funded ULTIMATE project. This system initially investigates three case studies focusing respectively on: water and nutrient recovery in greenhouses, pre-treatment of wastewater from olive mills before integration into communal wastewater systems, and value-added compound recovery from wastewater in a juice factory.

[Hospital malnutrition in Argentina: prevalence and nutritional risk prediction in hospitalized adults according to 6 nutritional screening tools (AANEP-2 Study)].

Introduction: nutritional screening (NS) is crucial for early detection of malnutrition (MN) and prediction of "nutritional risk".

Objectives: to establish the prevalence of hospital malnutrition by Subjective Global Assessment (SGA) and evaluate the agreement of NS tools and their ability to predict mortality (M), infectious (IC) and non-infectious complications, and prolonged stay (> 11 days).

Methods: a multicenter, prospective, observational study was conducted.