The aim of this paper is to report primary changes in the market concerning public relations and atmosphere in stores. This study examines the impact of public relations and various dimensions (factors) of the atmosphere on creation (formation) of the purchase decision. The aims of study were: determine in which way the atmosphere affects the purchase decision; research and specify which kind of atmosphere at the sale point positively influences the purchase decision; research and specify the level of consumer’s satisfaction with the atmosphere in the store. The sample of 200 buyers was chosen on the basis of geographical zone of sampling procedure in Bosnia and Herzegovina. Results show that in most dimensions (factors) creation (formation) of the atmosphere in the store influences significantly on the purchase decision. Furthermore, many dimensions (factors) of the atmosphere were found that affect significantly differently on the purchase decision. The results of this research may be of particular interest to those who organized retail stores.

This paper discusses the problems associated with the negative effects that accompany blasting operations, and the certain conclusions were derived. One of the negative effects of blasting operations is the phenomenon of seismic action and its effects on the buildings and the environment. Shock waves, induced by blasting, could cause damages to the building facilities and the environment. Those shocks seem to be very unfavorable to both humans and the environment. Therefore, certain standards were developed that define permissible values of impacts on buildings and people in buildings. In Serbia, there are no standards for assessing the impact of such shock waves. The international regulations and standards, mostly Russian and German, will be used to solve this problem. This case study provides an overview the measurement of shock waves during blasting at the open pit Manastiriste near Topola in a function of the quantity of used explosives, their impact on the surrounding buildings with special reference to the Monastery of the Holy Archangel Michael, as well as the assessment of measurement results according to the appropriate scales in the world. Keywords blasting, shock waves, measurement, impact, seismics * University of Belgrade, Faculty of Mining and Geology, Djusina 7, 11000 Belgrade, Serbia, e-mail: sanjabajic@sezampro.com; radmila.gacina@rgf.rs; katarina.urosevic@rgf.rs; suzana.lutovac@rgf.bg.ac.rs

Abstract: Human-robot team interaction is challenging in terms of system complexity and control synthesis. Classifying different interaction paradigms between a human and a robot team eases the formal analysis. The challenge is to classify the paradigms appropriately, w.r.t. the setting and the task to be performed. In this paper three interaction paradigms are formally defined and analyzed using controllability. It is shown that a straightforward classification of interaction paradigms, based on the mapping properties of the input space to the tangent of the state space is possible. Specific examples in the human-robot team interaction for cooperative manipulation tasks validate the proposed classification methods.

Intraoperative nerve localization is extremely important during surgery, especially laparoscopy. This is particularly challenging when nerves show visual resemblance to surrounding tissue. An example of such a delicate procedure is thyroid and parathyroid surgery, where iatrogenic injury of the recurrent laryngeal nerve can result in transient or permanent vocal problems. A camera system, enabling nerve-specific image enhancement, would be useful in preventing such complications. Hyperspectral camera technology has a potential to provide a nerve-specific image enhancement. As a first step towards such a dedicated camera system, we evaluated the availability of useful spectral tissue signatures by diffuse reflectance spectroscopy using silicon (Si) and indium gallium arsenide (InGaAs) sensors. The spectral signatures from the combined Si & InGaAs bandwidth ranges 350–1,830 nm (1 nm spectral resolution) were used to develop a classifier. To build the classifier, 36 heuristic features were extracted from spectral signatures collected during carpal tunnel release (CTR) surgery as well as thyroid and parathyroid (T&P) surgery. As the larger median nerve (exposed during T&P surgery) provided a lower probability to partial volume effect, this data (15 tissue spots) was used to train the classifier. For validation purposes, 40 tissue spots acquired during CTR surgery were used. The differentiation between nerve tissue and the visually quite similar adipose tissue yielded good results. When using one feature, we reached the accuracy of 93.3% in training set and the accuracy of 85% in the independent validation set. When using two features, we reached accuracy of 100% in training set (26 pairs of features) and the maximum accuracy of 92.5% (11 pairs of features) in the independent validation set. For three features, we reached the accuracy of 100% in training set (410 triplets of features), with the accuracy of 100% in the independent validation set (37 triplets of features).