Effect of Mexico's vaccination program on Covid-19 cases, hospitalizations, and deaths among older adults in Mexico City.

Objective: To characterize the impact of Mexico's Co-vid-19 vaccination campaign of older adults.

Materials And Methods: We estimated the absolute change in sympto-matic cases, hospitalizations and deaths for vaccine-eligible adults (aged >60 years) and the relative change compared to vaccine-ineligible groups since the campaign started. Re-sults.

Graph Matching between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the Question.

Graph matching consists of aligning the vertices of two unlabeled graphs in order to maximize the shared structure across networks; when the graphs are unipartite, this is commonly formulated as minimizing their edge disagreements. In this paper we address the common setting in which one of the graphs to match is a bipartite network and one is unipartite. Commonly, the bipartite networks are collapsed or projected into a unipartite graph, and graph matching proceeds as in the classical setting.

The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks.

Spectral inference on multiple networks is a rapidly-developing subfield of graph statistics. Recent work has demonstrated that joint, or simultaneous, spectral embedding of multiple independent networks can deliver more accurate estimation than individual spectral decompositions of those same networks. Such inference procedures typically rely heavily on independence assumptions across the multiple network realizations, and even in this case, little attention has been paid to the induced network correlation that can be a consequence of such joint embeddings.

Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.

The development of models and methodology for the analysis of data from multiple heterogeneous networks is of importance both in statistical network theory and across a wide spectrum of application domains. Although single-graph analysis is well-studied, multiple graph inference is largely unexplored, in part because of the challenges inherent in appropriately modeling graph differences and yet retaining sufficient model simplicity to render estimation feasible. This paper addresses exactly this gap, by introducing a new model, the common subspace independent-edge multiple random graph model, which describes a heterogeneous collection of networks with a shared latent structure on the vertices but potentially different connectivity patterns for each graph.

Joint embedding: A scalable alignment to compare individuals in a connectivity space.

A common coordinate space enabling comparison across individuals is vital to understanding human brain organization and individual differences. By leveraging dimensionality reduction algorithms, high-dimensional fMRI data can be represented in a low-dimensional space to characterize individual features. Such a representative space encodes the functional architecture of individuals and enables the observation of functional changes across time.

Joint Embedding of Graphs.

Feature extraction and dimension reduction for networks is critical in a wide variety of domains. Efficiently and accurately learning features for multiple graphs has important applications in statistical inference on graphs. We propose a method to jointly embed multiple undirected graphs.

Relationship between motor variability, accuracy, and ball speed in the tennis serve.

The main objective of this study was to analyze the motor variability in the performance of the tennis serve and its relationship to performance outcome. Seventeen male tennis players took part in the research, and they performed 20 serves. Linear and non-linear variability during the hand movement was measured by 3D Motion Tracking.

Arsenic removal from waters by bioremediation with the aquatic plants Water Hyacinth (Eichhornia crassipes) and Lesser Duckweed (Lemna minor).

In this study the removal of arsenic by the Water Hyacinth (Eichhornia crassipes) and Lesser Duckweed (Lemna minor) was monitored under a concentration of 0.15mgL(-1) of the element. Plant densities were 1kg/m2 for Lesser Duckweed and 4kg/m2 for Water Hyacinth on a wet basis.

Iron-deficiency anemia as presentation of pouchitis.

Goals: This study sought to describe the percentage and cause of anemia in patients who underwent ileal pouch with anal anastomosis (IPAA) for ulcerative colitis (UC), and to compare the distribution of complications in patients with and without anemia, especially pouchitis, after IPAA.

Background: IPAA is the surgical procedure of choice for UC. Complications include pouchitis (40%), strictures (30%), small bowel obstruction (10%), pelvic sepsis (<5%), and urinary and sexual dysfunctions (<5%).

A manifold for the automatic dilution of concentrated solutions in flame atomic absorption spectrometry.

A fully computer-controlled manifold is described which enables the automatic dilution and measurement of solutions which are too concentrated to be measured by direct aspiration in FAAS. The sample solution is propelled by a peristaltic pump equipped with two pump tubes of different diameters, the difference between the nebulizer uptake rate and the flow rate supplied by both tubes being compensated by solvent provided through a T-piece. The absorbance is averaged and the pump turning speed automatically increased or reduced until an absorbance value within the linear response of the spectrometer is obtained.