Abstract Tail-anchored (TA) proteins are involved in a broad range of essential cellular processes. Because of their unique membrane topology, dedicated pathways are required for their targeting to the ER. One such pathway is the Guided Entry of TA proteins (GET) pathway, which has been extensively studied in yeast and is gaining considerable importance in plants as well. The key player in this pathway is the dimeric chaperone Get3 (TRC40 in mammals). Unlike in yeast, plants possess multiple paralogs that differ in their subcellular localization and amino acid composition. Despite the important role of the GET pathway in protein trafficking, disruption of this pathway leads only to minor growth defects that do not affect overall plant development. Further research indicates that alternative pathways may act in parallel to the GET pathway and that Get3 is involved in additional mechanisms beyond its originally anticipated role in protein targeting.
We propose a framework for performing differentiable geometric modeling based on the Function Representation (FRep). The framework is built on top of modern libraries for performing automatic differentiation allowing us to obtain derivatives w.r.t. space or shape parameters. We demonstrate possible applications of this framework: Curvature estimation for shape interrogation, signed distance function computation and approximation and fitting shape parameters of a parametric model to data. Our framework is released as open-source.
The Fire We Share proposes a care-centered, consequence-aware visualization framework for engaging with wildfire data not as static metrics, but as living archives of ecological and social entanglement. By combining plants-inspired data forms, event-based mapping, and narrative layering, the project foregrounds fire as a shared temporal condition-one that cuts across natural cycles and human systems. Rather than simplifying wildfire data into digestible visuals, The Fire We Share reimagines it as a textured, wounded archive-embodied, relational, and radically ethical.
Could the answer be to compute fewer pixels? Renderers that break traditional framed patterns and opt for temporally adaptive sampling might be the key to printer-resolution wall displays that update hundreds of times per second.
Andrea Rossi, Lara Perrella, Stefano Scotti
et al.
Background: Proton pump inhibitors (PPIs) are some of the most frequently prescribed medications, but they are often used inappropriately, either being prescribed without a clear indication or continued for longer than necessary. In such cases, deprescribing is recommended. However, despite its proven effectiveness, the implementation of deprescribing in clinical practice remains inconsistent and varied, making it challenging to identify the most effective strategies. The goal is to provide a comprehensive outline of deprescribing interventions for PPI therapy implemented across various settings and by different healthcare professionals. Methods: The study is designed to be a systematic review of the published literature. PubMed, Embase, and Web of Science databases were searched from 1 January 1989 (the first PPI on the market) to 30 September 2024 for articles assessing PPI deprescribing in adult patients, focusing on the implementation rate (primary outcome) or effects on symptoms (secondary outcome). Results: After screening, 66 studies were included, predominantly pragmatic trials (N = 32) or randomized controlled trials (N = 25). We found a variety of interventions promoting PPI deprescription. Collaborative efforts involving multiple healthcare professionals, the use of algorithms for clinical decision-making, and patient involvement have proven to be key elements in the most effective strategies. Discontinuing therapy may not be advisable in cases of recurrent symptoms, suggesting that on-demand therapy could be a recommended approach. Deprescribing is particularly relevant for individuals with mild illnesses and symptoms, where tapering can effectively mitigate the rebound symptoms often associated with abrupt discontinuation. Conclusions: Given the current prevalence of inappropriate PPI prescribing, it is imperative to raise awareness among both physicians and patients about the importance of the deprescribing process, which should be tailored to the specific needs of each patient, considering his/her medical history, current health status, and personal preferences.
We present an approach to designing 3D Iterated Function Systems (IFS) within the Unity Editor and rendered to VR in real-time. Objects are modeled as a hierarchical tree of primitive shapes and operators, editable using a graphical user interface allowing artists to develop psychedelic scenes with little to no coding knowledge, and is easily extensible for more advanced users to add their own primitive shapes and operators.
Yujiro Okuya, Nicolas Ladeveze, Cédric Fleury
et al.
In this poster, we present a new VR-CAD framework, allowing user to modify parametric CAD data with 3D interaction in an immersive environment. With this framework, users can implicitly modify parameter values of CAD data with co-localized 3D shape-based interaction. This poster describes the system architecture and the interaction technique based on it.
Alexander Keller, Carsten Wächter, Nikolaus Binder
Quasi-Monte Carlo methods have become the industry standard in computer graphics. For that purpose, efficient algorithms for low discrepancy sequences are discussed. In addition, numerical pitfalls encountered in practice are revealed. We then take a look at massively parallel quasi-Monte Carlo integro-approximation for image synthesis by light transport simulation. Beyond superior uniformity, low discrepancy points may be optimized with respect to additional criteria, such as noise characteristics at low sampling rates or the quality of low-dimensional projections.
Line intersection with convex and un-convex polygons or polyhedron algorithms are well known as line clipping algorithms and very often used in computer graphics. Rendering of geometrical problems often leads to ray tracing techniques, when an intersection of many lines with spheres or quadrics is a critical issue due to ray-tracing algorithm complexity. A new formulation of detection and computation of the intersection of line (ray) with a quadric surface is presented, which separates geometric properties of the line and quadrics that enables pre-computation. The presented approach is especially convenient for implementation with SSE instructions or on GPU
In this talk we review the problem of constructing a developable surface patch bounded by two rational or NURBS (Non-Uniform Rational B-spline) curves.
There are many applications in which a bounding sphere containing the given triangle E3 is needed, e.g. fast collision detection, ray-triangle intersecting in raytracing etc. This is a typical geometrical problem in E3 and it has also applications in computational problems in general. In this paper a new fast and robust algorithm of circumscribed sphere computation in the -dimensional space is presented and specification for the E3 space is given, too. The presented method is convenient for use on GPU or with SSE or Intel AVX instructions on a standard CPU
Manos Kamarianakis, Antonis Protopsaltis, Michail Tamiolakis
et al.
We present a novel integration of a real-time continuous tearing algorithm for 3D meshes in VR, suitable for devices of low CPU/GPU specifications, along with a suitable particle decomposition that allows soft-body deformations on both the original and the torn model.
In projection mapping from a projector to a non-planar surface, the pixel density on the surface becomes uneven. This causes the critical problem of local spatial resolution degradation. We confirmed that the pixel density uniformity on the surface was improved by redirecting projected rays using a phase-only spatial light modulator.
We examine several currently used techniques for visualizing complex-valued functions applied to modular forms. We plot several examples and study the benefits and limitations of each technique. We then introduce a method of visualization that can take advantage of colormaps in Python's matplotlib library, describe an implementation, and give more examples. Much of this discussion applies to general visualizations of complex-valued functions in the plane.
We present Diffusion Structures, a family of resilient shell structures from the eigenfunctions of a pair of novel diffusion operators. This approach is based on Michell's theorem but avoids expensive non-linear optimization with computation that amounts to constructing and solving two generalized eigenvalue problems to generate two sets of stripe patterns. This structure family can be generated quickly, and navigated in real-time using a small number of tuneable parameters.
Gupta et al. [1, 2] describe a very beautiful application of algebraic geometry to lattice structures composed of quadric of revolution (quador) implicit surfaces. However, the shapes created have concave edges where the stubs meet, and such edges can be stress-raisers which can cause significant problems with, for instance, fatigue under cyclic loading. This note describes a way in which quadric fillets can be added to these models, thus relieving this problem while retaining their computational simplicity and efficiency.
Projection-based augmented reality (AR) has much potential, but is limited in that it requires burdensome installations and prone to geometric distortions on display surface. To overcome these limitations, we propose AIR. It can be carried and placed anywhere to project AR using pan/tilting motors, while providing the user with distortion-free projection of a correct 3D view.