A STUDY OF THE USE OF MIXED REALITY FOR CAPTURING HUMAN OBSERVATION AND INFERENCES IN PRODUCTION ENVIRONMENTS

Augmented and mixed reality is already considered as needful technology of the modern production systems. It is primarily employed to virtualize proper digital content, mainly related to 3D objects, into the human visual field allowing people to visualize and understand complex spatial shapes, their mutual relations, and positioning. Yet, the huge potential of the technology is waiting to be revealed in its usage for collecting and recording human observations and inferences about the context of the production environment. Its bi-directional interface makes it the most direct and the most efficient knowledge capturing means to date. The paper presents the challenges and benefits that come from the usage of a conceptual interface of an mixed reality application that is designed to collect data, semantics and knowledge about the production context directly from the man-in-process. As a production environment for the development, implementation, and testing of mixed reality applications for this purpose, various processes for the assembly and maintenance of medium-voltage equipment were used

Analysis of electrophoretic patterns of arbitrarily primed PCR profiling

We present a mathematical algorithm for the analysis of electrophoretic patterns resulting from arbitrarily primed PCR profiling. The algorithm is based on the established mathematical procedures applied to the analysis of digital images of gel patterns. The algorithm includes (a) transformation of the image into a matrix form, (b) identification of every electrophoretic lane as a set of matrix columns that are further mathematically processed, (c) averaging of matrix columns corresponding to electrophoretic lanes that define lane representatives, (d) elimination of smiling bands, (e) solving the problem of a lane offset, and (f) removal of the background. Representation of individual electrophoretic lanes in the form of functions allows interlane comparisons and further mathematical analysis. Direct comparison of selected lanes was obtained by employing correlation analysis. Gel images were those obtained after arbitrarily primed PCIR analysis of DNA that underwent damage induced by gamma radiation from a Co-60 source. The applied method proved to be useful for elimination of subjectivity of visual inspection. It offers the possibility to avoid overlooking important differences in case of suboptimal electrophoretic resolution. In addition, higher precision is achieved in the assessment of quantitative differences due to better insight into experimental artifacts. These simple mathematical methods offer an open-type algorithm, i.e., this algorithm enables easy implementation of different parameters that may be useful for other analytical needs

Exception detection in business process management systems

188-193This study presents exception detection in process management system, which uses active semantic model (ASM), a hybrid system comprising semantic networks, expert systems, object oriented programming and fuzzy logic. ASM is employed to capture semantic features of all kinds of workflow situations, as well as to detect and interpret exceptions

The influence of orientation on the radiation-induced crosslinking/oxidative behavior of different PEs

This paper studies the influence of orientation and structural peculiarities on the radiation-induced oxidation/crosslinking changes in different polyethylenes (PEs). For this reason, low density polyethylene (LDPE), linear low density polyethylene (LLDPE) and high density polyethylene (HDPE) were oriented via solid-state stretching at an elevated temperature. Later on, oriented samples were gamma-irradiated in air to various absorbed doses (up to 700 kGy). In order to investigate orientation- and radiation-induced changes in morphology, surface microstructures were analyzed by optical (OM) and scanning electron microscopy (SEM). Differential scanning calorimetry (DSC), IR spectroscopy and gel measurements were used to determine changes in crystallinity, oxidative degradation and degree of network formation, respectively. Conclusions derived according to these methods were compared. The differences in morphology, crystallinity, oxidation and gel behavior are caused primarily by the structural peculiarities of different types of PEs, the heterogeneous nature of radiation effects in semicrystalline polymers and, in the case of oriented samples, by the molecular orientation as well. The presented results reveal complicate crosslinking behavior with orientation while increase/decrease in crystallinity/oxidation with draw ratio was clearly evident. (C) 2007 Elsevier B.V. All rights reserved

Risk Factors of Adverse Maternal Outcome among SARS-CoV-2 Infected Critically Ill Pregnant Women in Serbia

Background and Objectives: During the COVID-19 pandemic, Serbia has faced devastating losses related to increased mortality rates among men and women of all ages. With 14 registered cases of maternal death in 2021, it became obvious that pregnant women are faced with a serious threat that jeopardises their life as well as the life of their unborn child. Studying the consequences of the COVID-19 pandemic on maternal outcomes is vivifying and stimulating for many professionals and decision-makers, and knowing the contextual characteristics can facilitate the application of literature findings in practice. Therefore, the aim of this study was to present findings of maternal mortality in Serbia associated with SARS-CoV-2 infected and critically ill pregnant women. Methods: Clinical status and pregnancy-related features were analysed for a series of 192 critically ill pregnant women with confirmed SARS-CoV-2 infection. According to the treatment outcome, pregnant women were divided in two study groups: a group of survivors and a group of deceased patients. Results: A lethal outcome was recorded in seven cases. Pregnant women in the deceased group were presenting at admission more commonly with X-ray–confirmed pneumonia, a body temperature of >38 °C, cough, dyspnea, and fatigue. They were more likely to have a progression of the disease, to be admitted to intensive care unit, and be dependent from mechanical ventilation, as well as to have nosocomial infection, pulmonary embolism, and postpartum haemorrhage. On average, they were in their early third trimester of pregnancy, presenting more commonly with gestational hypertension and preeclampsia. Conclusions: Initial clinical manifestations of SARS-CoV-2 infection, such as dyspnea, cough, fatigue, and fever, could be a potent factors in risk stratification and outcome prediction. Prolonged hospitalization, ICU admission, and associated risk of hospital-acquired infections require strict microbiological surveillance and should be a constant reminder of rational antibiotics use. Understanding and identification of risk factors associated with poor maternal outcomes among pregnant women infected with SARS-CoV-2 should warn medical professionals of potentially unwanted outcomes and can be used for organising an individualised treatment for a pregnant patient’s specific needs, including a guide to necessary consultations with medical specialists in various fields