Results 41 to 50 of about 124,582 (312)
Model-based 3D gait biometrics
There have as yet been few gait biometrics approaches which use temporal 3D data. Clearly, 3D gait data conveys more information than 2D data and it is also the natural representation of human gait perceived by human.
Mark S. Nixon +3 more
core +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Front-view Gait Recognition [PDF]
We present a new method for front-view gait biometrics which uses a single non-calibrated camera and extracts unique signatures from descriptors of a silhouette’s deformation.
Mark S. Nixon +5 more
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Human gait as a step in evolution [PDF]
The nervous systems in various species do not change rapidly in evolution. Yet the idea that human gait would be controlled in much the same way as it is in other mammals, or indeed even in invertebrates (Clarac et al ., 2000) has met a lot of resistance (Capaday, 2001). Nevertheless, as evidenced by Dietz et al.
openaire +3 more sources
Nonlinear dynamical model of human gait [PDF]
13 pages, 10 ...
West B. J., SCAFETTA, NICOLA
openaire +4 more sources
Versatile vector tools for efficient protein screening across multiple expression systems
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu +5 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
GMM‐LIME explainable machine learning model for interpreting sensor‐based human gait
Machine learning (ML) has been used in human gait data for appropriate assistive device prediction. However, their uptake in the medical setup still remains low due to their black box nature which restricts clinicians from understanding how they operate.
Mercy Mawia Mulwa +2 more
doaj +1 more source
2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]
This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi +7 more
core +1 more source

