Notes

Travel aware coaching: An automated training curriculum pertaining to elderly drivers' detection of path problems.
Talitrids are a highly diverse group of amphipod crustaceans that have colonized various terrestrial habitats. Three genera have successfully adapted to cave habitats on islands in the Pacific and Atlantic Oceans. However, the evolutionary origin of the Pacific troglobitic talitrids has remained unknown. We estimate the phylogenetic position of the troglobitic Minamitalitrus zoltani, which inhabits limestone caves on Minamidaito Island in the Northwestern Pacific, on the basis of the traditional multi-locus dataset. For the analyzed talitrids, we also reconstruct ancestral states of the maxilliped palp and male gnathopod 2. Our results indicate that Minamitalitrus zoltani is sister to the epigean Nipponorchestia curvatus with a deep divergence. Nipponorchestia curvatus inhabits coastal habitats in Japan, but is not indigenous to Minamidaito Island. A previous study estimated that the Atlantic troglobitic species had invaded subterranean habitats multiple times, but we provide new insight into the troglobisation history in talitrids. We also recover secondary shifts of character states of the maxilliped palp and male gnathopod 2 within the lineage composed of Minamitalitrus and its phylogenetically close genera. Our findings highlight the need for the genus-level reclassification of these genera; we split Nipponorchestia into two genera, establishing a new genus for Nipponorchestia nudiramus.Geraniaceae organelle genomes have been shown to exhibit several highly unusual features compared to most other photosynthetic angiosperms. This includes massively rearranged plastomes with considerable size variation, extensive gene and intron loss, accelerated rates of nucleotide substitutions in both mitogenomes and plastomes, and biparental inheritance and cytonuclear incompatibility of the plastome. Most previous studies have focused on plastome evolution with mitogenome comparisons limited to only a few taxa or genes. In this study, mitogenomes and transcriptomes were examined for 27 species of Geraniales, including 13 species of Pelargonium. Extensive gene and intron losses were detected across the Geraniales with Pelargonium representing the most gene depauperate lineage in the family. Plotting these events on the Geraniaceae phylogenetic tree showed that gene losses occurred multiple times, whereas intron losses more closely reflected the relationships among taxa. In addition, P. australe acquired an intron by horizontal transfer. Comparisons of nucleotide substitution rates in Pelargonium showed that synonymous changes in nuclear genes were much lower than in mitochondrial genes. This is in contrast to the previously published studies that indicated that nuclear genes have 16 fold higher rates than mitochondrial genes across angiosperms. Elevated synonymous substitutions occurred for each mitochondrial gene in Pelargonium with the highest values 783 and 324 times higher than outgroups and other Geraniaceae, respectively. Pelargonium is one of four unrelated genera of angiosperms (Ajuga, Plantago and Silene) that have experienced highly accelerated nucleotide substitutions in mitogenomes. It is distinct from most angiosperms in also having elevated substitution rates in plastid genes but the cause of rate accelerations in Pelargonium plastomes and mitogenomes may be different.
The aim of our study was to ascertain the true nature of ghost cells (GCs) by immunolocalization of cytokeratin (CK) 6, CK19, and amelogenin in calcifying odontogenic cysts (COCs) and dentinogenic ghost cell tumors (DGCTs) in an attempt to determine the nature of this unique cell.

A total of thirteen cases (six COCs and seven DGCTs) were examined immunohistochemically, in order to compare immunoreactivity for CK6, CK19, and amelogenin in odontogenic GCs.

Positive expression of amelogenin (92.3%) and CK6 (77%) was chiefly found in GCs. CK19 expression was observed in the cytoplasm of odontogenic epithelial cells of the lining epithelium. GCs were devoid of CK19 expression and were positive only on the cytoplasmic periphery.

In the current study, GCs showed accumulation of amelogenin and hard keratins in their cytoplasm during pathological transformation.
In the current study, GCs showed accumulation of amelogenin and hard keratins in their cytoplasm during pathological transformation.
Virus identification in electron microscopy (EM) images is considered as one of the front-line method in pathogen diagnosis and re-emerging infectious agents. However, the existing methods either focused on the detection of a single virus or required large amounts of manual labeling work to segment virus. In this work, we focus on the task of virus classification and propose an effective and simple method to identify different viruses.

We put forward a residual mixed attention network (RMAN) for virus classification. The proposed network uses channel attention, bottom-up and top-down attention, and incorporates a residual architecture in an end-to-end training manner, which is suitable for dealing with EM virus images and reducing the burden of manual annotation.

We validate the proposed network through extensive experiments on a transmission electron microscopy virus image dataset. The top-1 error rate of our RMAN on 12 virus classes is 4.285%, which surpasses that of state-of-the-art networks and even human experts. In addition, the ablation study and the visualization of class activation mapping (CAM) further demonstrate the effectiveness of our method.

The proposed automated method contributes to the development of medical virology, which provides virologists with a high-accuracy approach to recognize viruses as well as assist in the diagnosis of viruses.
The proposed automated method contributes to the development of medical virology, which provides virologists with a high-accuracy approach to recognize viruses as well as assist in the diagnosis of viruses.
This paper presents the results of a Machine-Learning based Model Order Reduction (MOR) method applied to a complex 3D Finite Element (FE) biomechanical model of the human tongue, in order to create a Digital Twin Model (DTM) that enables real-time simulations. The DTM is designed for future inclusion in a computer assisted protocol for tongue surgery planning.

The proposed method uses an "a posteriori" MOR that allows, from a limited number of simulations with the FE model, to predict in real time mechanical responses of the human tongue to muscle activations.

The MOR method is evaluated for simulations associated with separate single tongue muscle activations. selleck compound It is shown to be able to account with a sub-millimetric spatial accuracy for the non-linear dynamical behavior of the tongue model observed in these simulations.

Further evaluations of the MOR method will include tongue movements induced by multiple muscle activations. At this stage our MOR method offers promising perspectives for the use of the tongue model in a clinical context to predict the impact of tongue surgery on tongue mobility.
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