PubMed Journals Articles About "Pharvaris Gets 66mm Series" RSS

09:42 EST 17th November 2019 | BioPortfolio

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Showing "Pharvaris Gets 66mm Series" PubMed Articles 1–25 of 4,200+

Data-Driven Precision Implementation Approach.

: This is the third article in a new series about evidence-based practice (EBP) that builds on AJN's awardwinning previous series-Evidence-Based Practice, Step by Step-published between 2009 and 2011 (to access the series, go to This follow-up series features exemplars illustrating the various strategies that can be used to implement EBP changes-one of the most challenging steps in the EBP process.

Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing.

Tasking machine learning to predict segments of a time series requires estimating the parameters of a ML model with input/output pairs from the time series. We borrow two techniques used in statistical data assimilation in order to accomplish this task: time-delay embedding to prepare our input data and precision annealing as a training method. The precision annealing approach identifies the global minimum of the action (). In this way, we are able to identify the number of training pairs required to produc...

Analysis of the Puzzling Exchange-Coupling Constants in a Series of Heterobimetallic Complexes.

The exchange-coupling constants ( J) in a series of bimetallic complexes with an M(μ-OH)Fe core (M = Mn, Fe, Ni, and Cu; series 1), which were reported in a recent study ( Sano et al. Inorg. Chem. 2017 , 56 , 14118 - 14128 ), have been analyzed with the help of density functional theory (DFT) calculations. The experimental J values of series 1 showed the remarkable property that they were virtually independent of metal M. This behavior contrasts with that observed for a related series of complexes with MFe...

Time series trend detection and forecasting using complex network topology analysis.

Extracting knowledge from time series provides important tools for many real applications. However, many challenging problems still open due to the stochastic nature of large amount of time series. Considering this scenario, new data mining and machine learning techniques have continuously developed. In this paper, we study time series based on its topological features, observed on a complex network generated from the time series data. Specifically, we present a trend detection algorithm for stochastic time...

Surgery For Clinoidal Meningiomas: Case Series And Meta-Analysis Of Outcomes And Complications.

Clinoidal meningiomas present specific characteristics related to their peculiar site of anatomical origin. Clinical series focusing on pure clinoidal meningiomas are not numerous. We performed a systematic review and meta-analysis, including our own case series, of the available literature in order to better identify the specific features of these tumors.

Establishing a time series trend structure model to mine potential hydrological information from hydrometeorological time series data.

This paper addresses the problem of missing latent time series information caused by the differences in the analysis of time series data and non-time series data. A time series trend structure model (TSTM) was established using the analysis of time series patterns and rules, the trends of patterns and rules, and trends in confidence and support. Shandong Province was selected as the study area. Rainfall and evaporation time series data from this area were input into the TSTM. The results show that: (1) the ...

H adsorptions to CuRg (Rg = He-Kr) cation I and II series.

Structures and stabilities of H adsorption to CuRg (Rg = He-Kr) cation I and II series are performed at CCSD(T) theoretical level with extended basis sets. "T-shaped" structures of H adsorptions to Cu or Rg atoms with different dissociation energies can be found (H-CuRg or H-RgCu). Further calculations confirm the adsorptions of two H ligands (H-CuKr-H). The Rg = Kr series show enhanced stabilities and good dehydrogenation abilities, suggesting potential applications in hydrogen storage applications...

Exact Discovery of Time Series Motifs.

Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computational biology, this similarity hints at structure which has been conserved for some reason and may therefore be of interest. Since the formalism of time series motifs in 2002, dozens of researchers have used them for diverse applications in many different domains. Because the obvious algorithm for computing motifs is quadratic in t...

Multivariate LSTM-FCNs for time series classification.

Over the past decade, multivariate time series classification has received great attention. We propose transforming the existing univariate time series classification models, the Long Short Term Memory Fully Convolutional Network (LSTM-FCN) and Attention LSTM-FCN (ALSTM-FCN), into a multivariate time series classification model by augmenting the fully convolutional block with a squeeze-and-excitation block to further improve accuracy. Our proposed models outperform most state-of-the-art models while requiri...

Severe, persistent neonatal hypoglycemia as a presenting feature in patients with congenital hypopituitarism: a review of our case series.

Objective Persistent hypoglycemia (PH) beyond 3 days of life warrants investigation which includes a critical sample. We report our case series of five neonates who presented with PH as the first sign of congenital hypopituitarism. Design This is a case series. Methods/Results This is a case series of five neonates evaluated at our academic institution in a 3-year period (2013-2016), who presented with persistent severe hypoglycemia and were subsequently diagnosed with congenital hypopituitarism. All neonat...

Optimizing the fold stability of the circularly permuted Trp-cage motif.

Through optimization of the linker region and key stabilizing mutations, it has been possible to improve the stability of the circularly permuted (cp) Trp-cage miniprotein. However, even the most stable Trp-cage circular permutants are still less stable than the analogous standard topology (std) Trp-cages. Extending mutational studies of Trp-cage fold stability to cp-species, including analogs lacking chain terminal charges, has uncovered and quantitated some additional stabilizing and destabilizing interac...

Quantifying the change in streamflow complexity in the Yangtze River.

Hydrological processes of the Yangtze River have changed over the past decades due to environmental change and human activity. This paper uses sample entropy to investigate the spatial distribution and dynamic change in streamflow series complexity in the Yangtze River, China. In this study, the complexity of the streamflow series is quantified by entropy analysis. Daily streamflow series for four stations located in the mainstem and two control stations of the two largest freshwater lakes were analysed for...

Ultrasound findings of urachal anomalies. A series of interesting cases.

This study's aim is to present the specific ultrasonography (US) findings of a series of urachus anomalies.

Gamma Knife Radiosurgery for Anterior Clinoid Process Meningiomas: A Series of 61 Consecutive Patients.

Gamma Knife radiosurgery (GKRS) outcomes for anterior clinoid process (ACP) meningiomas have not been specifically reported within any meningioma series. We present the initial and largest series in the literature that describes the presenting features, radiosurgery parameters, and radiological and long-term clinical outcomes for 61 patients with ACP meningiomas treated with GKRS.

Nonpooling Convolutional Neural Network Forecasting for Seasonal Time Series With Trends.

This article focuses on a problem important to automatic machine learning: the automatic processing of a nonpreprocessed time series. The convolutional neural network (CNN) is one of the most popular neural network (NN) algorithms for pattern recognition. Seasonal time series with trends are the most common data sets used in forecasting. Both the convolutional layer and the pooling layer of a CNN can be used to extract important features and patterns that reflect the seasonality, trends, and time lag correl...

Universal Cointegration and Its Applications.

Cointegration focuses on whether the long-term linear relationship between two or more time series is stationary even if this linear relationship does not exist or is not strong for the short term. Identifying the potential cointegration is important for economics, ecology, meteorology, neuroscience, and much more. Classic methods only considered or restricted in cointegration where the order of integration of all time series is 1. We introduce a method based on searching the vector to minimize the absolute...

Core curriculum online lecture series in musculoskeletal imaging: initial results.

To augment the educational resources available to training programs and trainees in musculoskeletal (MSK) radiology by creating a comprehensive series of Web-based open-access core curriculum lectures.

Electroconvulsive Therapy for Neuroleptic Malignant Syndrome: A Case Series.

Neuroleptic malignant syndrome (NMS) is an uncommon condition associated with significant morbidity and mortality. Data on treatment interventions are limited. In this case series, we sought to describe all NMS cases requiring ECT from a large academic institution over a nearly 2-decade period.

Comparative Analysis of Blood Plasma Proteome in Patients with Renal Cell Carcinoma.

Comparative mass spectrometric analysis of protein composition was carried out in 36 blood plasma specimens from patients with renal cell carcinoma and 20 specimens from donors. Analysis of protein composition of plasma specimens devoid of the major protein fractions showed a 20-50% higher level of protein identifications in patient' specimens. Specimens of the control and experimental series were similar by protein composition, 70-80% identifications in experimental and control series coinciding. High simi...

Primary adrenal schwannoma: a series of 31 cases emphasizing their clinicopathologic features and favorable prognosis.

Primary adrenal schwannoma (PAS) is a very rare benign tumor, and most of them have been described in case reports. This study aimed to analyze their distinct clinicopathologic features and follow-up data through the largest series yet.

Novel N-benzylpyridinium moiety linked to arylisoxazole derivatives as selective butyrylcholinesterase inhibitors: Synthesis, biological evaluation, and docking study.

A novel series of N-benzylpyridinium moiety linked to arylisoxazole ring were designed, synthesized, and evaluated for their in vitro acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibitory activities. Synthesized compounds were classified into two series of 5a-i and 5j-q considering the position of positively charged nitrogen of pyridinium moiety (3- or 4- position, respectively) connected to isoxazole carboxamide group. Among the synthesized compounds, compound 5n from the second series of...

Multifractal analysis of financial markets: a review.

Multifractality is ubiquitously observed in complex natural and socioeconomic systems. Multifractal analysis provides powerful tools to understand the complex nonlinear nature of time series in diverse fields. Inspired by its striking analogy with hydrodynamic turbulence, from which the idea of multifractality originated, multifractal analysis of financial markets has bloomed, forming one of the main directions of econophysics. We review the multifractal analysis methods and multifractal models adopted in o...

Granulomatous spondylodiscitis: A case series with focus on histopathological features.

To report a series of Granulomatous Spondylodiscitis (GS) with focus on the histopathological features of the different forms of GS.

Transurethral endoscopic approach for large bladder diverticula: Evaluation of a large series.

To present the results of the largest series of patients with bladder diverticula > 4 cm managed with an endoscopic approach and give tips about the execution of the procedure.

Disparities in HPV vaccine series completion by adolescent males: a retrospective cohort study.

Human papillomavirus (HPV) vaccine has been recommended for males for prevention of genital warts and precancerous anal lesions since 2009. Our objective was to characterize race and insurance-based disparities in HPV vaccine completion among males who initiated the HPV vaccine series.

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