Search results for "Mach"

Vergleich der DNS-Analyse mit histomorphologischen parametern beim Magenkarzinom

1992

After curative resection of stomach carcinomas (adenocarcinomas: n=58, signet ring cell carcinomas: n = 24, undifferentiated carcinomas: n = 21) the DNA content of the tumor cells was compared with the histomorphological parameters. There was a correlation between the DNA content and the histomorphological parameters. The DNA analysis had no additionally prognostic influence. In the multivariate regression analysis the prognosis depended on lymph node status (p=0.0009), pT-stage (p = 0.02), tumor localization (p = 0.03) and the histological type (p=0.05). The prognosis was independent of the DNA content. Furthermore, neither did the degree of differentiation, the operative procedure, the sa…

Quantifying and Processing Biomedical and Behavioral Signals

2019

Comparison of some dispersion-corrected and traditional functionals as applied to peptides and conformations of cyclohexane derivatives.

2012

We compare the energetic and structural properties of fully optimized α-helical and antiparallel β-sheet polyalanines and the energetic differences between axial and equatorial conformations of three cyclohexane derivatives (methyl, fluoro, and chloro) as calculated using several functionals designed to treat dispersion (B97-D, ωB97x-D, M06, M06L, and M06-2X) with other traditional functionals not specifically parametrized to treat dispersion (B3LYP, X3LYP, and PBE1PBE) and with experimental results. Those functionals developed to treat dispersion significantly overestimate interaction enthalpies of folding for the α-helix and predict unreasonable structures that contain Ramachandran φ and …

Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8

2019

The Cyclotron Radiation Emission Spectroscopy (CRES) technique pioneered by Project 8 measures electromagnetic radiation from individual electrons gyrating in a background magnetic field to construct a highly precise energy spectrum for beta decay studies and other applications. The detector, magnetic trap geometry, and electron dynamics give rise to a multitude of complex electron signal structures which carry information about distinguishing physical traits. With machine learning models, we develop a scheme based on these traits to analyze and classify CRES signals. Understanding and proper use of these traits will be instrumental to improve cyclotron frequency reconstruction and help Pro…

Inventando el crimen pasional: del lenguaje de gacetilla a la prensa de sucesos (España, 1892-1920)

2021

El terme «crim passional» va sorgir a la premsa espanyola el 1892. L’objectiu d’aquest treball és desvelar el perquè i entendre’n la relació amb la premsa sensacionalista i, en especial, amb la premsa especialitzada en successos. La nostra metodologia considera que la premsa és un motor cultural en la construcció de conceptes amb incidència social. Així, doncs, explorem la presència del terme «crim passional» en un bon nombre de diaris i setmanaris per observar com es va construir un marc mental de naturalesa emocional. Es revela la incidència del concepte en l’opinió pública i en el llenguatge jurídic, així com la seva rellevància en la justificació de la violència contra les dones.

Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review

2020

This paper presents a review of different condition monitoring technologies for fiber ropes. Specifically, it presents an overview of the articles and patents on the subject, ranging from the early 70’s up until today with the state of the art. Experimental results are also included and discussed in a conditionmonitoring context,where failuremechanisms and changes in physical parameters give improved insight into the degradation process of fiber ropes. From this review, it is found that automatic width measurement has received surprisingly little attention, and might be a future direction for the development of a continuous condition monitoring system for synthetic fiber ropes.

Machine learning at the interface of structural health monitoring and non-destructive evaluation

2020

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…

Use of the KSVM-based system for the definition, validation and identification of the incisional hernia recurrence risk factors

2019

BACKGROUND: Incisional hernia is one of the most common complications after abdominal surgery with an incidence rate of 11 to 20% post laparotomy. Many different factors can be considered as risk factors of incisional hernia recurrence. The aim of this study is to confirm and to validate the incisional hernia recurrence risk factors and to identify and to validate new ones. METHODS: In the period from July 2007 to July 2017, 154 patients were selected and subjected to incisional hernia repair. The surgical operations were conducted under general anaesthesia. Patients received antibiotic prophylaxis when indicated, according to the hospital prophylaxis scheme. Inclusion criteria of the study…

Modeling crowd dynamics through coarse-grained data analysis

2018

International audience; Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be coupled to fast and reliable models to produce rapid predictions of the crowd movement and eventually help crowd managers choose between tailored optimization strategies. Here, we propose a Bi-directional Macroscopic (BM) model as the core of such a system. Its key input is the fundamental diagram for bi-directional flows, i.e. the relation between the pedestrian fluxes and d…

IMI – Oral biopharmaceutics tools project – Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with…

2020

Oral drug absorption is a complex process depending on many factors, including the physicochemical properties of the drug, formulation characteristics and their interplay with gastrointestinal physiology and biology. Physiological-based pharmacokinetic (PBPK) models integrate all available information on gastro-intestinal system with drug and formulation data to predict oral drug absorption. The latter together with in vitro-in vivo extrapolation and other preclinical data on drug disposition can be used to predict plasma concentration-time profiles in silico. Despite recent successes of PBPK in many areas of drug development, an improvement in their utility for evaluating oral absorption i…