Search results for "Mach"

Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling

2022

Effects of cimetidine, atropine and prostaglandin E2 on rat mucosal erosions produced by intragastric distension

1980

Abstract The effects of three typical antisecretory agents: cimetidine, atrophine and prostaglandin E2 were compared on an acute rat gastric ulcer model which consisted of perfusing the stomach continuously, at a high intraluminal pressure (120 mm H2O), with a simulated gastric juice (0.1 M HCl plus 600 mg pepsin/1). As the acid and pepsin are given exogenously the inhibitory action of the antisecretory drugs is obviated in this model. Cimetidine and atropine failed to reduce gastric erosions, whereas prostaglandin E2 markedly reduced the severity of the mucosal lesions with respect to control values. Long-term treatment with cimetidine also failed to increase the resistance of the gastric …

Female Cyborgs, Gender Performance, and Utopian Gaze in Alex Garland’s Ex Machina

2020

The cyborg as a metaphor for cultural encodings of the interaction between humans and technology has been an accepted trope since the publication of Donna Haraway’s “Cyborg Manifesto.” Alex Garland’s 2015 film Ex Machina shares many of its key themes and motifs with earlier science fiction films, from Fritz Lang’s Metropolis to Ridley Scott’s Blade Runner. A first viewing of the film thus suggests an interpretation that focuses on the film’s portrayal of its female cyborgs Ava and Kyoko as another version of the “pleasure model” in the mode of Lang’s Maria or Scott’s Pris. However, it is the tension between Ava’s intelligence and visual attractiveness and her performance of a female gender …

The Influence of Task and Context-Based Complexity on the Final Choice

2011

In this chapter, we present a new approach for the design of choice task experiments that analyze the final respondent’s choice but not the decision process.1 The approach creates choice tasks with a one-to-one correspondence between decision strategies and the observed choices. Thus, a decision strategy used is unambiguously deduced from an observed choice. Furthermore, the approach systematically manipulates the characteristics of choice tasks and takes into account measurement errors concerning the preferences of the decision makers. We use this approach to generate respondent-specific choice tasks with either low or high complexity and study their influence on the use of compensatory an…

Are You Able to Trust Me? Analysis of the Relationships Between Personality Traits and the Assessment of Attractiveness and Trust

2021

Behavioral and neuroimaging studies show that people trust and collaborate with others based on a quick assessment of the facial appearance. Based on the morphological characteristics of the face, i.e., features, shape, or color, it is possible to determine health, attractiveness, trust, and some personality traits. The study attempts to indicate the features influencing the perception of attractiveness and trust. In order to select individual factors, a model of backward stepwise logistic regression was used, analyzing the results of the psychological tests and the attractiveness and trust survey. Statistical analysis made it possible to select the most important personality traits related…

Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning

2020

Machine learning has been used to accurately classify musical genre using features derived from audio signals. Musical genre, as well as lower-level audio features of music, have also been shown to...

Machine Learning VS Transfer Learning - Smart Camera Implementation for Face Authentication

2018

The aim of this paper is to highlight differences between classical machine learning and transfer learning applied to low cost real-time face authentication. Furthermore, in an access control context, the size of biometric data should be minimized so it can be stored on a remote personal media. These constraints have led us to compare only lightest versions of these algorithms. Transfer learning applied on Mobilenet v1 raises to 85% of accuracy, for a 457Ko model, with 3680s and 1.43s for training and prediction tasks. In comparison, the fastest integrated method (Random Forest) shows accuracy up to 90% for a 7,9Ko model, with a fifth of a second to be trained and a hundred of microseconds …

Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis.

2016

Monitoring driver's intentions beforehand is an ambitious aim, which will bring a huge impact on the society by preventing traffic accidents. Hence, in this preliminary study we recorded high resolution electroencephalography (EEG) from 5 subjects while driving a car under real conditions along with an accelerometer which detects the onset of steering. Two sensor-level analyses, sample entropy and time-frequency analysis, have been implemented to observe the dynamics before the onset of steering. Thus, in order to classify the steering direction we applied a machine learning algorithm consisting of: dimensionality reduction and classification using principal-component-analysis (PCA) and sup…

A general comparison between various types of linear generators for wave energy conversion

2017

This paper presents a general comparison between various types of linear generators for wave energy conversion. According to the type of magnetic configuration they are distinguished as: linear asynchronous generators, linear generators with permanent magnets and linear reluctance generators. The paper shows their peculiarities and discusses their field of applications.

Low cost three-dimensional virtual model construction for remanufacturing industry

2018

Remanufactured products can save up to 80% of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Remanufacturing lacks automation because activities are predominantly manual. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and increasing consistency in quality, but also attract industries to design for remanufacture. A digital model of the com…