Minimally invasive balloon-assisted sinus floor elevation vs. conventional transcrestal procedure in terms of new bone formation in a split-mouth Goettingen minipig model.

Purpose: Currently, maxillary sinus floor (SF) elevation is based on off-the-shelf allogeneic, xenogeneic or synthetic bone augmentation materials (BAM) that are implanted via an open lateral sinus wall approach (OSFE). However, this invasive method is associated with postoperative complications caused by an inadequate blood supply of the alveolar ridge. Balloon-assisted procedures are minimal invasive alternatives with lower complication rates.

Root System Architecture Reorganization Under Decreasing Soil Phosphorus Lowers Root System Conductance of Zea mays.

Background And Aims: The global supply of phosphorus is decreasing. At the same time, climate change reduces the availability of water in most regions of the world. Insights on how decreasing phosphorus availability influences plant architecture are crucial to understanding its influence on plant functional properties, such as the root system's water uptake capacity.

Clinical outcomes for 2788 patients with transthyretin amyloidosis: Tafamidis meglumine early access program in France.

Background: Early access experience in France with tafamidis meglumine, a selective transthyretin stabilizer for transthyretin-related amyloidosis cardiomyopathy (ATTR-CM), following transthyretin-related amyloidosis (ATTR) polyneuropathy approval and positive ATTR-ACT study results.

Aim: To describe the characteristics and clinical outcomes for patients in the French ATTR-CM tafamidis meglumine early access programme (28 Nov 2018 to 01 Jun 2021).

Methods: Patients with confirmed ATTR-CM received tafamidis meglumine 20mg/day or 80mg/day.

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing.

Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neural dynamics, there exists numerous software and hardware solutions and stacks whose variability makes it difficult to reproduce findings. Here, we establish a common reference frame for computations in digital neuromorphic systems, titled Neuromorphic Intermediate Representation (NIR).