Notes

Establishment of a developing neurotoxicity analyze simply by Sox1-GFP mouse embryonic come tissues.
Real-time high-fidelity rendering requires the use of expensive high-end hardware, even when rendering moderately complex scenes. Interactive streaming services and cloud gaming have somewhat mitigated the problem at the cost of response lag. In this article, we present Regular Grid Global Illumination (ReGGI), a distributed rendering pipeline that eliminates response lag and provides cloud-based dynamic GI for low-powered devices such as smartphones and the class of devices typically used in untethered VR headsets. Results show that ReGGI is scalable, has low bandwidth requirements, and produces images of comparable quality to instant radiosity.This paper discusses a systematic review of the state of the art on Augmented Reality (AR) and Virtual Reality (VR) in spinal navigation where early clinical validations have shown promising outlook on accuracy and scalability parameters. The objective of this research is to evaluate clinical relevance for AR-VR enabled spinal surgical technologies and develop an economic feasibility model for stakeholders like a patient; hospitals and research organizations while technology adoption. From the influencing parameters, we identified the research gaps that can be explored going forward and a list of high priority research challenges that could provide attractive research and development investment case for industry players.Hydrothermal plumes are ongoing venting of hot solutions, on a time scale of months to years, relating to volcanic activities on the seafloor. Recent developments in acoustical observational techniques has produced images to support the scientific investigation of such plumes. Y-27632 However, understanding the complex behavior of plumes in a long-time series poses a challenge to the existing analysis approaches. The motivation of this work is to use visualization techniques to facilitate the visual exploration and analysis of plumes and to help domain scientists compare the actual behavior of plumes predicted by tidal interaction models and buoyant plume models incorporating forced entrainment effects. Methods of geovisualization are combined with time-varying feature-based techniques to create visualizations of plumes which are applied to an acoustic imaging data collected from the Cabled Observatory Vent Imaging System in the Northeast Pacific. The results give new insights to the data and confirm the hypothesis of plumes.
Tissue electroporation is achieved by applying a series of electric pulses to destabilize cell membranes within the target tissue. The treatment volume is dictated by the electric field distribution, which depends on the pulse parameters and tissue type and can be readily predicted using numerical methods. These models require the relevant tissue properties to be known beforehand. This study aims to quantify electrical and thermal properties for three different tissue types relevant to current clinical electroporation.

Pancreatic, brain, and liver tissue were harvested from pigs, then treated with IRE pulses in a parallel-plate configuration. Resulting current and temperature readings were used to calculate the conductivity and its temperature dependence for each tissue type. Finally, a computational model was constructed to examine the impact of differences between tissue types.

Baseline conductivity values (mean 0.11, 0.14, and 0.12S/m) and temperature coefficients of conductivity (mean 2.0, 2.3, and 1.2 % per degree Celsius) were calculated for pancreas, brain, and liver, respectively. The accompanying computational models suggest field distribution and thermal damage volumes are dependent on tissue type.

The three tissue types show similar electrical and thermal responses to IRE, though brain tissue exhibits the greatest differences. The results also show that tissue type plays a role in the expected ablation and thermal damage volumes.

The conductivity and its changes due to heating are expected to have a marked impact on the ablation volume. Incorporating these tissue properties aids in the prediction and optimization of electroporation-based therapies.
The conductivity and its changes due to heating are expected to have a marked impact on the ablation volume. Incorporating these tissue properties aids in the prediction and optimization of electroporation-based therapies.
Nonlinear modeling of cortical responses (EEG) to wrist perturbations allows for the quantification of cortical sensorimotor function in healthy and neurologically impaired individuals. A common model structure reflecting key characteristics shared across healthy individuals may provide a reference for future clinical studies investigating abnormal cortical responses associated with sensorimotor impairments. Thus, the goal of our study is to identify this common model structure and therefore to build a nonlinear dynamic model of cortical responses, using nonlinear autoregressive-moving-average model with exogenous inputs (NARMAX).

EEG was recorded from ten participants when receiving continuous wrist perturbations. A common model structure detection method was developed for identifying a common NARMAX model structure across all participants, with individualized parameter values. The results were compared to conventional subject-specific models.

The proposed method achieved 93.91% variance accounted for (VAF) when implementing a one-step-ahead prediction and around 50% VAF for a k-step ahead prediction (k = 3), without a substantial drop of VAF as compare to subject-specific models. The estimated common structure suggests that the measured cortical response is a mixed outcome of the nonlinear transformation of external inputs and local neuronal interactions or inherent neuronal dynamics at the cortex.

The proposed method well determined the common characteristics across subjects in the cortical responses to wrist perturbations.

It provides new insights into the human sensorimotor nervous system in response to somatosensory inputs and paves the way for future translational studies on assessments of sensorimotor impairments using our modeling approach.
It provides new insights into the human sensorimotor nervous system in response to somatosensory inputs and paves the way for future translational studies on assessments of sensorimotor impairments using our modeling approach.
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