2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification

Multi-modal fusion has been proved to help enhance the performance of scene classification tasks. This paper presents a 2D-3D Fusion stage that combines 3D Geometric Features with 2D Texture Features obtained by 2D Convolutional Neural Networks. To get a robust 3D Geometric embedding, a network that uses two novel layers is proposed. The first layer, Multi-Neighbourhood Graph Convolution, aims to learn a more robust geometric descriptor of the scene combining two different neighbourhoods: one in the Euclidean space and the other in the Feature space. The second proposed layer, Nearest Voxel Pooling, improves the performance of the well-known Voxel Pooling. Experimental results, using NYU-Depth-V2 and SUN RGB-D datasets, show that the proposed method outperforms the current state-of-the-art in RGB-D indoor scene classification task

SkinningNet: two-stream graph convolutional neural network for skinning prediction of synthetic characters

This work presents SkinningNet, an end-to-end Two-Stream Graph Neural Network architecture that computes skinning weights from an input mesh and its associated skeleton, without making any assumptions on shape class and structure of the provided mesh. Whereas previous methods pre-compute handcrafted features that relate the mesh and the skeleton or assume a fixed topology of the skeleton, the proposed method extracts this information in an end-to-end learnable fashion by jointly learning the best relationship between mesh vertices and skeleton joints. The proposed method exploits the benefits of the novel Multi-Aggregator Graph Convolution that combines the results of different aggregators during the summarizing step of the Message-Passing scheme, helping the operation to generalize for unseen topologies. Experimental results demonstrate the effectiveness of the contributions of our novel architecture, with SkinningNet outperforming current state-of-the-art alternatives.This work has been partially supported by the project PID2020-117142GB-I00, funded by MCIN/AEI /10.13039/501100011033.Peer ReviewedPostprint (author's final draft

A bacterial acetyltransferase targets the protein kinase ZIP1, a positive regulator of plant immunity

Pseudomonas syringae is a model bacterial pathogen that penetrates the leaf to reach the plant apoplast, where it replicates causing disease. In order to do that, the pathogen must interfere and suppress a two-tiered plant defense response: PTI (PAMP-Triggered Immunity, or basal resistance) and ETI (Effector-Triggered Immunity). P. syringae uses a type III secretion system to directly deliver effector proteins inside the plant cell cytosol, many of which are known to suppress PTI, some of which are known to trigger ETI, and a handful of which are known to suppress ETI. Bacterial infection can also trigger a systemic plant defense response that protects the plant against additional pathogen attacks known as SAR (Systemic Acquired Resistance). We are particularly interested in the molecular and cellular mechanisms involved in effector-mediated defense evasion by P. syringae, in particular those involved in the suppression of ETI and SAR, and/or mediation of hormone signaling. Here we present data describing effector-mediated interference with plant immunity, by means of acetylation of a key positive regulator of local and systemic responses. Our work identifies a novel plant target for effector function, and characterizes its function. This work illustrates how analyzing the means by which a given effector interferes with its target can provide novel information regarding eukaryotic molecular mechanisms.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. MINECO BIO2015-64391R y FEDE

The bacterial effector HopZ1a acetylates ZIP1 kinase to suppress Arabidopsis defence responses

During the plant-pathogen interaction, disease or resistance are determined in the plant by a series of molecular events. The plant detects Pathogen-Associated Molecular Patterns (PAMPs), such as flagellin, triggering a defence response called PTI (PAMP-Triggered Immunity). Bacterial pathogens can in turn suppress such defence response through the translocation into the plant cell cytosol of virulence proteins, called effectors, via a Type Three Secretion System (T3SS). In resistant plants, intracellular receptors known as R proteins recognize these effectors, triggering a second line of defence, more specific and intense, called ETI (Effector-Triggered Immunity), which usually leads to programmed cell death known as HR (Hypersensitive Response). Pseudomonas syringae is a phytopathogenic bacterium whose virulence depends on a T3SS and its effector repertoire. Some strains include HopZ1a, an unusual effector which is able to suppress in Arabidopsis both local (PTI and ETI), and systemic (SAR, for Systemic Acquired Resistance) defences, by means of its acetyltransferase activity. In resistant Arabidopsis plants, HopZ1a acetylates the ZED1 pseudokinase, which is proposed to function as a decoy mimicking HopZ1a target in the plant: ZED1 modification activates an R-protein (ZAR1) to trigger HopZ1a-dependent ETI. None of the Arabidopsis proteins proposed to date as HopZ1a targets is a kinase, nor fully explains the effector´s defence suppression abilities. In this work we identify an Arabidopsis kinase that functions as a positive regulator of PTI, ETI and SAR, which interacts with HopZ1a and is acetylated by this effector in lysine residues essential for its kinase activity. Further, HopZ1a can specifically suppress the defence phenotypes resulting from ZIP1 expression in Arabidopsis. We propose that ZIP1 acetylation by HopZ1a interferes with its kinase activity, and consequently with positive defence signalling.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Re-dissemination of news and public debate on social networks

The results of a qualitative research study based on 12 focus groups with a total of 106 people about the role of social networks in the consumption of current information are presented. We inquired about the motivation of citizens to interact with the news on social networks, and if they consider them appropriate spaces for public debate. Some findings of this study suggest that social networks are seen as an adequate space to share news and information on matters of public interest; to extend the agenda of topics that focus on the interests of users by allowing them access to topics often silenced in their usual media; and finally, social networks are viewed as more suitable for opinions, rather than public debate

Re-dissemination of news and public debate on social networks

The results of a qualitative research study based on 12 focus groups with a total of 106 people about the role of social networks in the consumption of current information are presented. We inquired about the motivation of citizens to interact with the news on social networks, and if they consider them appropriate spaces for public debate. Some findings of this study suggest that social networks are seen as an adequate space to share news and information on matters of public interest; to extend the agenda of topics that focus on the interests of users by allowing them access to topics often silenced in their usual media; and finally, social networks are viewed as more suitable for opinions, rather than public debate

Re-dissemination of news and public debate on social networks

The results of a qualitative research study based on 12 focus groups with a total of 106 people about the role of social networks in the consumption of current information are presented. We inquired about the motivation of citizens to interact with the news on social networks, and if they consider them appropriate spaces for public debate. Some findings of this study suggest that social networks are seen as an adequate space to share news and information on matters of public interest; to extend the agenda of topics that focus on the interests of users by allowing them access to topics often silenced in their usual media; and finally, social networks are viewed as more suitable for opinions, rather than public debate