The importance of prognosis in geriatric patients attending the emergency department: a comparison between two common short geriatric assessment tools

Background: The use of short geriatric tools in the emergency department (ED) is increasing, but the literature is still conflicting. The aim of this study is to compare the precision and the accuracy of two short geriatric assessment tools to predict mortality in a cohort of older patients attending the ED. Methods: A retrospective study was conducted including patients ≥ 65 years, attending the ED and transferred to a medical assessment unit from February to July 2022. Clinical Frailty Scale (CFS) and Brief Multidimensional Prognostic Index (Brief MPI) were administered. The association between Brief MPI and CFS and mortality was analysed via area under the curve (AUC) with its 95% confidence intervals (CIs), the C-statistics and a multivariate Cox’s regression analysis, in the latter case reporting the data as hazard ratios (HRs) with their 95% CI. Results: Among the 579 patients enrolled (mean age: 77 years), both Brief MPI and CFS showed a good accuracy in predicting mortality (AUC: 0.72; 95% CI: 0.61–0.83 for Brief MPI; 0.754; 95% CI: 0.65–0.83 for CFS). The discrimination of Brief MPI and CFS in predicting mortality was excellent, since the C-index of the Brief MPI was 0.85 and of CFS = 0.84. In the multivariate analysis, the risk for mortality was significantly increased for frailer subjects (HR 4.65; 95% CI: 1.45–15.00 for Brief MPI > 0.66; HR = 9.24; 95% CI: 1.16–76.90 for CFS > 6). Conclusions: Brief MPI and CFS showed a good accuracy/precision to predict mortality in older patients attending the ED. Considering that they are quick to perform, their introduction in ED clinical practice could be extremely helpful

No Brain No Game? Altered Sensorimotor and Fronto-Limbic Circuitry in Individuals with ACL Rupture

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Publisher's Note: Defect Influence on Heteroepitaxial 3C-SiC Young's Modulus [Electrochem. Solid-State Lett., 14, H161 (2011)]

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Scaling metagenome sequence assembly with probabilistic de Bruijn graphs

Deep sequencing has enabled the investigation of a wide range of environmental microbial ecosystems, but the high memory requirements for {\em de novo} assembly of short-read shotgun sequencing data from these complex populations are an increasingly large practical barrier. Here we introduce a memory-efficient graph representation with which we can analyze the k-mer connectivity of metagenomic samples. The graph representation is based on a probabilistic data structure, a Bloom filter, that allows us to efficiently store assembly graphs in as little as 4 bits per k-mer, albeit inexactly. We show that this data structure accurately represents DNA assembly graphs in low memory. We apply this data structure to the problem of partitioning assembly graphs into components as a prelude to assembly, and show that this reduces the overall memory requirements for {\em de novo} assembly of metagenomes. On one soil metagenome assembly, this approach achieves a nearly 40-fold decrease in the maximum memory requirements for assembly. This probabilistic graph representation is a significant theoretical advance in storing assembly graphs and also yields immediate leverage on metagenomic assembly

Electrical Properties of Self-Assembled Nano-Schottky Diodes

A bottom-up methodology to fabricate a nanostructured material by Au nanoclusters on 6H-SiC surface is illustrated. Furthermore, a methodology to control its structural properties by thermal-induced self-organization of the Au nanoclusters is demonstrated. To this aim, the self-organization kinetic mechanisms of Au nanoclusters on SiC surface were experimentally studied by scanning electron microscopy, atomic force microscopy, Rutherford backscattering spectrometry and theoretically modelled by a ripening process. The fabricated nanostructured materials were used to probe, by local conductive atomic force microscopy analyses, the electrical properties of nano-Schottky contact Au nanocluster/SiC. Strong efforts were dedicated to correlate the structural and electrical characteristics: the main observation was the Schottky barrier height dependence of the nano-Schottky contact on the cluster size. Such behavior was interpreted considering the physics of few electron quantum dots merged with the concepts of ballistic transport and thermoionic emission finding a satisfying agreement between the theoretical prediction and the experimental data. The fabricated Au nanocluster/SiC nanocontact is suggested as a prototype of nano-Schottky diode integrable in complex nanoelectronic circuits

Sensorimotor Cortical Thickness Moderates Corticospinal Excitability

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Numerical modeling of bifacial PV string performance: Perimeter effect and influence of uniaxial solar trackers

The bifacial photovoltaic (PV) systems have recently met large interest. The performance of such systems heavily depends on the installation conditions and, in particular, on the albedo radiation collected by the module rear side. Therefore, it is of crucial importance to have an accurate performance model. To date, in the scientific literature, numerous models have been proposed and experimental data collected to study and optimize bifacial PV system performance. Currently, 3D and 2D models of bifacial PV devices exist. Though the former are more mathematically complex, they can lead to more accurate results, since they generally allow to fully consider the main aspects influencing a bifacial PV system performance. Recently, we have proposed and validated through experimental data a 3D model tested as a function of module height, tilt angle, and ground albedo. In this work, through such a model, we studied the role played by the perimeter zones surrounding the PV string, by considering PV strings of 30 or 60 modules. We considered the cases of fixed installation with optimal PV module tilt and of installation with uniaxial horizontal solar tracker. We evaluated the PV energy yield as a function of the size of the perimeter zones for the two cases, i.e., both with and without the solar tracker. In optimal perimeter conditions, we then studied the behavior of bifacial and mono-facial PV strings by varying the geographical location in a large latitude range

Paper Session II-D - Project Vision: A Model Program to Educate the Next Generation of Engineers, Scientists, and Mathematicians

Project VISION (Very Intensive Scientific Intercurricular On-Site Education) is a joint effort among NASA/John F. Kennedy Space Center, Florida International University, Universidad del Turabo, Miami-Dade County Public Schools and the Caguas/Gurabo Public Schools in Puerto Rico. The project\u27s main mission is to institutionalize change among the elementary and middle school science and math teachers at participating schools. Thereafter, the teachers provide their students with continuously enriched instruction in the principles of science and math through the use of hands-on and minds-on experiments called learning modules. These learning modules have been classified according to the national science and math education standards established by the National Committee on Science Education Standards and Assessments and the National Council of Teachers of Mathematics, respectively

Role of Intrinsic Subtype Analysis with PAM50 in Hormone Receptors Positive HER2 Negative Metastatic Breast Cancer: A Systematic Review.

Endocrine therapy (ET), associated with CDK 4/6 inhibitors, represents the first choice of treatment for HR+/HER2- metastatic breast cancer (mBC). Primary or secondary endocrine resistance could develop; however validated biomarkers capable of predicting such a conditions are not available. Several studies have shown that HR+/HER2- mBC comprises five intrinsic subtypes. The purpose of this systematic review was to analyze the potential correlations between intrinsic subtype, efficacy of treatment, and patient outcome. Five papers that analyzed the intrinsic subtype with PAM50 assay in patients (pts) with HR+/HER2- mBC treated with ET (alone or in combination) within seven phase III clinical trials (EGF30008, BOLERO-2, PALOMA-2,3, MONALEESA-2,3,7) were identified. Non-luminal subtypes are more frequent in endocrine-resistant pts and in metastatic sites (vs. primary tumors), have less benefit from ET, and worse prognosis. Among these, HER2-enriched subtypes are similar to HER2+ tumors and benefit from the addition of anti-HER2 agents (lapatinib) and, for less clear reasons, of ribociclib (unconfirmed data for palbociclib and everolimus). Basal-like subtypes are similar to triple-negative tumors, making them more sensitive to chemotherapy. The intrinsic subtype is also not static but can vary over time with the evolution of the disease. Currently, the intrinsic subtype does not play a decisive role in the choice of treatment in clinical practice, but has potential prognostic and predictive value that should be further investigated