187 research outputs found

    Inductive Synthesis of Cover-Grammars with the Help of Ant Colony Optimization

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    A cover-grammar of a finite language is a context-free grammar that accepts all words in the language and possibly other words that are longer than any word in the language. In this paper, we describe an efficient algorithm aided by Ant Colony System that, for a given finite language, synthesizes (constructs) a small cover-grammar of the language. We also check its ability to solve a grammatical inference task through the series of experiments

    Impact of a CORPULS CPR mechanical chest compression device on chest compression quality during extended pediatric manikin resuscitation: a randomized crossover pilot study

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    INTRODUCTION: The quality of chest compression delivered during paediatric cardiopulmonary resuscitation is identified as the most important factor to achieve the increase of the survival rate without a major neu­rological deficit to the patients. The aim of this study was to compare chest compression quality with and without the CORPULS CPR mechanical chest compression device during simulated paediatric cardiopulmo­nary resuscitation. METHODS: A randomized crossover simulation trial was designed. 24 experienced paramedics participated in this trial. They performed paediatric chest compression with and without the CORPULS CPR chest compres­sion device on a HAL® S3005 five year old paediatric simulator. They performed single-rescuer continuous chest compression in a 2-min scenario. The primary endpoint was compression depth. RESULTS: The mean compression depth without CORPULS CPR was 4.7 ± 0.2 cm and was statistically signif­icant lower than when CORPULS CPR was used 7 ± 0.3 cm. The mean compression rate with and without CORPULS CPR was differentiated: 94 ± 1 vs. 100 ± 5. CONCLUSIONS: This simulated scenario study showed that manual chest compression allows one to adjust the compression depth more precisely in comparison to CORPULS CPR device. The system compressed the simulator chest too deeply.Backgroud. The quality of chest compression delivered during pediatric cardiopulmonary resuscitation is identified as the most important factor to achieve the increase of survival rate without major neurological deficit to the patients. The aim of this study was to compare chest compression quality with and without CORPULS CPR mechanical chest compression device during simulated pediatric cardiopulmonary resuscitation.Methods. A randomized crossover simulation trial was designed. 24 experienced paramedics participated in this trial. They performed pediatric chest compression with and without CORPULS CPR chest compression device on a HAL® S3005 five year old pediatric simulator. They performed single-rescuer continuous chest compression in 2-min scenario. Primary endpoint was compression depth.Results. Mean compression depth without CORPULS CPR was 4.7±0.2cm and was statistically significant lower than when CORPULS CPR was used 7 ±0.3cm. Mean compression rate with and without CORPULS CPR was differentiated: 94± 1 vs. 100 ±5. Conclusions. This simulated scenario study showed that the manual chest compression allows to adjust the compression depth more precisely in comparison to CORPULS CPR device. The system compressed the simulator chest too deep

    Use of a novel grammatical inference approach in classification of amyloidogenic hexapeptides

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    The present paper is a novel contribution to the field of bioinformatics by using grammatical inference in the analysis of data. We developed an algorithm for generating star-free regular expressions which turned out to be good recommendation tools, as they are characterized by a relatively high correlation coefficient between the observed and predicted binary classifications. The experiments have been performed for three datasets of amyloidogenic hexapeptides, and our results are compared with those obtained using the graph approaches, the current state-of-the-art methods in heuristic automata induction, and the support vector machine. The results showed the superior performance of the new grammatical inference algorithm on fixed-length amyloid datasets

    ACUTE INTOXICATION DUE TO DESIGNER DRUG TALISMAN — TREATMENT DILEMMA IN PRE-HOSPITAL SETTINGS — CASE REPORT AND REVIEW

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       Currently, the number of novel psychoactive substances (NPS) has significantly increased. Recent reports on the abuse of synthetic cathinones focus on serious physical and psychological risks resulting from their consumption, thereby emphasising that a growing use of these drugs might constitute an important public health. Case report: A young man presented to the emergency department with acute designer drug intox­ication complicated with severe respiratory failure. Why should an emergency physician be aware of this? We observe a growing use of NPS among young people. Further studies describing clinical manifestations of intoxication and toxicity of synthetic cathinones and treatment guidelines are still needed

    UESCOPE AS A METHOD OF ENDOTRACHEAL INTUBATION OF TRAUMA PATIENT

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    Unsupervised Statistical Learning of Context-free Grammar

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    In this paper, we address the problem of inducing (weighted) context-free grammar (WCFG) on data given. The induction is performed by using a new model of grammatical inference, i.e., weighted Grammar-based Classifier System (wGCS). wGCS derives from learning classifier systems and searches grammar structure using a genetic algorithm and covering. Weights of rules are estimated by using a novelty Inside-Outside Contrastive Estimation algorithm. The proposed method employs direct negative evidence and learns WCFG both form positive and negative samples. Results of experiments on three synthetic context-free languages show that wGCS is competitive with other statistical-based method for unsupervised CFG learning

    Ego-resiliency the female students of the University School of Physical Education in Wroclaw - pilot study

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    PURPOSE            The concept of resiliency assumes that it is an adaptive flexibility, ability to adjust the impulse level to a situation. In a detailed approach, resiliency is a personality trait that is of significance in the process of coping with traumatic events. It promotes persistence and facilitates mobilization to undertake preventive measures in difficult situations. Every person has a specific level of resiliency, however due to the specific nature of some fields of study and our professional practice, it may be sometimes especially highly – regarded.OBJECTIVES            The cognitive purpose is to identity and compare the levels of resiliency in women who study in different fields at University School of Physical Education in Wrocław.MATERIALS AND METHODS             The study was carried out among 145 female students at University School of Physical Education in Wrocław in the field of physiotherapy, cosmetology, tourism and recreation and physical education within the specialization of physical education for persons with intellectual disability. The research method was a diagnostic poll, the technique applied – questionnaire, the tool – Polish adaption of the Ego Resiliency Scale, the statistical method – variance analysis.RESULTS             Women who study physical education for persons with intellectual disability exhibit the highest level of resiliency in women who study physiotherapy and cosmetology and does not differ significantly from the level of resiliency represented by female students of tourism and recreation. Women studying physiotherapy have the lowest level of psychological resilience.CONCLUSIONS            In is assumed that a higher level of resiliency is a desirable personality trait which is helpful in working with people with intellectual disability (disabilities)
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