Results 101 to 110 of about 9,322,993 (252)

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

Arthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo, Ashish P. Balar, Aidan K. Strother, Subhash Kulkarni, Michael Hughes, Brian Skaug, Maureen D. Mayes, Shervin Assassi, Ali Y. Ayla, Zsuzsanna H. McMahan   +9 more
wiley   +1 more source

Efficient Camera-Based Pose Estimation for Real-Time Applications [PDF]

, 2009
Accurate online localization is crucial for mobile robotics. In this paper, we describe a real-time image-based localization technique, which is based on a single calibrated camera.
Elmar Mair, Klaus H. Strobl, Michael Suppa, Mair, Elmar, Darius Burschka, Strobl, Klaus, Suppa, Michael, Burschka, Darius   +7 more
core   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Referring Human Pose and Mask Estimation in the Wild [PDF]

We introduce Referring Human Pose and Mask Estimation (R-HPM) in the wild, where either a text or positional prompt specifies the person of interest in an image.
Miao, B, Gao, Y, Mian, A, Bennamoun, M, Wu, Z, Feng, M   +5 more
core  

Multi-view human pose estimation using modified five-point skeleton model [PDF]

, 2008
This paper examines the task of estimating the 3D pose of a human subject acquired from multiple views within a multiple camera surveillance network. We utilised a modified five-point skeleton model with potential application in human action recognition ...
Fookes, Clinton B., Chen, Daniel, Sridharan, Sridha, Chou, Pi-Chi   +3 more
core  

LiPE: Lightweight human pose estimator for mobile applications towards automated pose analysis

Cognitive Robotics
Current human pose estimation models adopt heavy backbones and complex feature enhance- ment modules to pursue higher accuracy. However, they ignore the need for model efficiency in real-world applications. In real-world scenarios such as sports teaching
Chengxiu Li, Ni Duan
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Reconstructing Human Hands from Egocentric RGB Data

, 2022
reservedReconstructing 3D poses from a single RGB image is a challenging task. Such computer vision problem hides an inherent ambiguity in the determination of the depth coordinate of the keypoints. In the following work I will start from exploring state-
CHIMENTI, ALBERTO
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source