Abstract Humanistic management emphasises the importance of respecting humanity in and through meaningful work within organisations. In this paper we introduce a Levinasian approach to organising. Levinas argues that Other appeals us allows take responsibility towards – i.c. an employee, customer, supplier, etcetera. article our focus is on employees. By taking as starting point his reflections...

We develop a novel statistical model, called multiscale adaptive regression model (MARM), for spatial and adaptive analysis of neuroimaging data. The primary motivation and application of the proposed methodology is statistical analysis of imaging data on the two-dimensional (2D) surface or in the 3D volume for various neuroimaging studies. The existing voxel-wise approach has several major lim...

This study aims to develop a microscopic pedestrian behavior model considering various interactions on pedestrian dynamics at crosswalks. Particularly, we take into account the evasion behavior with counter-flow pedestrians, the following behavior with leader pedestrians, and the collision avoidance behavior with vehicles. Aerial video data at one intersection in Beijing, China are extracted fo...

Expression levels of mRNAs are among other factors regulated by microRNAs. A particular microRNA can bind specifically to several target mRNAs and lead to their degradation. Expression levels of both, mRNAs and microRNAs, can be obtained by microarray experiments. In order to increase the power of detecting microRNAs that are differentially expressed between two different groups of samples, we ...

This work presents semi-blind acoustic model adaptation based on a piece-wise energy decay curve. The dual slope representation of the piece-wise curve accurately captures the early and late reflection decay that helps in precisely modeling the smearing effect caused due to reverberation. The slopes are estimated in a semi-blind fashion, late reflection slope is estimated blindly by finding the...

An entropr based approach for test nodes or test frequencies selection in analog testing is proposed in this work. Tlre ntetltod uses fault-wise tables which represenl test node anrbiguitt' groups. Fault-wise table is compared to the decision table itt the rough set theon,. Selection of the test poirtts is reduced to selection of fault-wise table columns which do not reduce design diagnosabili4...