Data-driven spatio-temporal estimation of soil moisture and temperature based on Lipschitz interpolation.

This study estimates agricultural soil variables using a non-parametric machine learning technique based on Lipschitz interpolation. This method is adapted for the first time to learn spatio-temporal dynamics, accounting for two-dimensional spatial and one temporal coordinate inputs separately. The estimator is validated on real agricultural data, addressing challenges like measurement noise and quantization.

A sequential approach for distributed set-membership estimation to exploit redundant information.

This manuscript proposes a novel approach for the distributed set-membership estimation of linear time-invariant plants. The method is based on sequentially exploiting the information that the agents receive from their neighbourhood in an adequate manner, so that redundant information is not discarded, but used to further shrink the sets. To do so, they need to build the innovation-routing table, which integrates routing information and concepts of subspace observability.

Long-term follow-up of an IgA nephropathy cohort: outcomes and risk factors.

Aim: IgA nephropathy (IgAN), the most common glomerulopathy worldwide and in Uruguay, raised treatment controversies. The study aimed to analyze long-term IgAN outcomes and treatment.

Methods: A retrospective analysis of a Uruguayan IgAN cohort, enrolled between 1985 and 2009 and followed up until 2020, was performed.

Distributed Estimation Techniques for Cyber-Physical Systems: A Systematic Review.

This paper undertakes a systematic review (SR) on distributed estimation techniques applied to cyber-physical systems (CPS). Even though SRs are not the common way to survey a theme in the control community, they provide a rigorous, robust and objective formula that should not be always ignored. The presented SR incorporates and adapts the guidelines recommended in other fields (mainly biosciences and computer sciences) to the field of automation and control and presents a brief description of the different phases that constitute an SR.

Data Fusion Based on Subspace Decomposition for Distributed State Estimation in Multi-Hop Networks.

This paper deals with the problem of estimating the distributed states of a plant using a set of interconnected agents. Each of these agents must perform a real-time monitoring of the plant state, counting on the measurements of local plant outputs and on the exchange of information with the rest of the network. These inter-agent communications take place within a multi-hop network.

Acute Antibody-Mediated Rejection in Kidney Transplant Based on the 2013 Banff Criteria: Single-Center Experience in Uruguay.

Background: Acute antibody-mediated rejection (AMR) diagnosis criteria have changed in recent consensus of Banff, with current evidence of C4d-negative AMR. Our objective was to evaluate incidence of AMR in renal transplantation according to Banff 2013 criteria and to examine the histological features and outcome.

Methods: This retrospective study involved all kidney transplants with histological diagnosis of acute rejection (AR) at our center between 2000 and 2014.

Peritonitis in peritoneal dialysis patients in Uruguay.

Uruguay is a South American country (3241003 inhabitants) where renal replacement treatment is universally available. The aim of this study was to analyze the incidence and outcome of peritonitis, and the causative organisms and their sensitivity, in order to recommend an empiric initial antibiotic treatment. A retrospective descriptive study of all peritonitis during the period 2004-2005 was performed (144 peritonitis, 44% due to gram-positive bacteria).