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We introduce DiffPhy, a differentiable physics-based model for articulated 3d human motion reconstruction from video. Applications of physics-based reasoning in human motion analysis have so far been limited, both by the complexity of constructing adequate physical models of articulated human motion, and by the formidable challenges of performing stable and efficient inference with physics in the

Confidential computing allows processing sensitive workloads in securely isolated spaces. Following earlier adop- tion of process-based approaches to isolation, vendors are now enabling hardware and firmware support for virtualization-based confidential computing on several server platforms. Due to variations in the technology stack, threat model, implemen-tation and functionality, the available s

Residential energy consumption remains a significant driver of CO2 emissions in European buildings, demanding urgent action in the face of the climate crisis. While prevailing efforts have predominantly concentrated on enhancing energy efficiency and integrating renewable sources, addressing the climate urgency and resource constraints necessitates a paradigm shift towards sufficiency principles.

The ability to store and mobilize energy is fundamental for physiologic function. Most excess energy is stored in adipose tissue as triglycerides, which is released as free fatty acids when needed through cellular processes tightly regulated by insulin. Intact adipose cell function is essential to regulate whole-body glucose and lipid metabolism. Several studies have focused on the metabolic impac

The rock mass viscous behaviour during tunnel construction is discussed. Initially, a brief introduction to the squeezing phenomenon and its association with the related one of creep is provided. Then, existing simplified models of rheological rock mass behaviour are presented and analysed. The range of the viscoelastic rock parameters identified in the literature for weak rocks is also given and

With all the versatility in structural performance and recent progress in developing magnesium alloys, their Achilles heel remains to be degradation or corrosion property. While applications in mobility demand corrosion protection by all means, bio-medical applications of Mg alloys require well-controlled degradation rates. Meeting these requirements is only possible through the understanding of p

Robustness of distributed routing policies is studied for dynamical flow networks, with respect to adversarial disturbances that reduce the link flow capacities. A dynamical flow network is modeled as a system of ordinary differential equations derived from mass conservation laws on a directed acyclic graph with a single origin-destination pair and a constant inflow at the origin. Routing policies

Finding correspondences between shapes is a fundamental problem in computer vision and graphics, which is relevant for many applications, including 3D reconstruction, object tracking, and style transfer. The vast majority of correspondence methods aim to find a solution between pairs of shapes, even if multiple instances of the same class are available. While isometries are often studied in shape

Representing 3D shape deformations by high-dimensional linear models has many applications in computer vision and medical imaging. Commonly, using Principal Components Analysis a low-dimensional subspace of the high-dimensional shape space is determined. However, the resulting factors (the most dominant eigenvectors of the covariance matrix) have global support, i.e. changing the coefficient of a

Achaete-scute family bHLH transcription factor 1 (ASCL1) is a master transcription factor involved in neuroendocrine differentiation. ASCL1 is expressed in approximately 10% of lung adenocarcinomas (LUAD) and exerts tumor-promoting effects. Here, we explored miRNA profiles in ASCL1-positive LUADs and identified several miRNAs closely associated with ASCL1 expression, including miR-375, miR-95–3p/m

BACKGROUND: Proenkephalin A 119-159 (penKid) has been suggested as a marker of renal failure and poor outcome. We aimed to investigate the association of penKid on ICU admission with organ dysfunction and mortality in a mixed ICU population. In this retrospective, observational study, admission penKid levels from prospectively collected blood samples of consecutive patients admitted to four Swedis

Background: Screening for islet autoantibodies in children and adolescents identifies individuals who will later develop type 1 diabetes, allowing patient and family education to prevent diabetic ketoacidosis at onset and to enable consideration of preventive therapies. We aimed to assess whether islet autoantibody screening is effective for predicting type 1 diabetes in adolescents aged 10−18 yea

In this paper, we present a fully automated generative method for brain tumor segmentation in multi-modal magnetic resonance images. The method is based on the type of generative model often used for segmenting healthy brain tissues, where tissues are modeled by Gaussian mixture models combined with a spatial atlas-based tissue prior. We extend this basic model with a tumor prior, which uses convo