28 research outputs found

    Urazowe uszkodzenie mózgu = Traumatic brain injury

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    Kulesza Bartłomiej, Litak Jakub, Grochowski Cezary, Kulesza Jacek, Nogalski Adam. Urazowe uszkodzenie mózgu = Traumatic brain injury. Journal of Education, Health and Sport. 2016;6(12):215-221.eISSN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.197104http://ojs.ukw.edu.pl/index.php/johs/article/view/4044https://pbn.nauka.gov.pl/sedno-webapp/works/763747   The journal has had 7 points in Ministry of Science and Higher Education parametric evaluation. Part B item 755 (23.12.2015).755 Journal of Education, Health and Sport eISSN 2391-8306 7© The Author (s) 2016;This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, PolandOpen Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium,provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License(http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited.This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted, non commercialuse, distribution and reproduction in any medium, provided the work is properly cited.The authors declare that there is no conflict of interests regarding the publication of this paper.Received: 02.11.2016. Revised 22.11.2016. Accepted: 07.12.2016.   Urazowe uszkodzenie mózguTraumatic brain injuryBartłomiej Kulesza1, Jakub Litak2, Cezary Grochowski2, Jacek Kulesza3, Adam Nogalski1 1 Katedra i Klinika Chirurgii Urazowej i Medycyny Ratunkowej Uniwersytetu Medycznego w Lublinie2 Katedra i Klinika Neurochirurgii i Neurochirurgii Dziecięcej Uniwersytetu Medycznego w Lublinie3 Oddział Neurochirurgiczny, Szpital Specjalistyczny w Sandomierzu lek. med. Bartłomiej Kulesza1,lek. med. Jakub Litak2,lek. med.  Cezary Grochowski2,dr n. med. Jacek Kulesza3,dr hab. n. med. Adam Nogalski1  StreszczenieUrazowe uszkodzenie mózgu (TBI)  nie jest właściwie jedną chorobą,  ale obejmuje szeroki zakres zmian w funkcjonowaniu mózgu lub inną ewidentną patologią mózgu spowodowaną zadziałaniem siły zewnętrznej.  TBI jest często określane mianem „cichej epidemii”.  Szacuje się że w Europie każdego roku z powodu jakieś formy TBI cierpi 2,5 miliona osób.  Patologiczny mechanizm TBI można podzielić na dwie fazy: pierwotne i wtórne uszkodzenie mózgu.  Są różne skale służące do oceny poszkodowanych po urazach, w przypadku urazów głowy największe znaczenie ma skala stanu świadomości Glasgow (GCS).  Najczęściej stosowana skala do oceny wyników leczenia chorych po TBI jest skala wyników leczenia Glasgow (GOS).  Rokowanie po TBI jest z reguły niekorzystne, można je próbować oszacować uwzględniając wiele czynników lub korzystając z dwóch kalkulatorów prognostycznych dostępnych w Internecie.Słowa kluczowe: urazowe uszkodzenie mózgu, epidemiologia, skala, rokowanieAbstractTraumatic brain injury (TBI) is not just one disease, but includes a wide spectrum alteration in brain function, or other evidence of brain pathology caused by external force. TBI is often referred to as "the silent epidemic". In Europe, it is estimated approximately 2,5 milion people suffer from some form of TBI.  The pathological mechanism of TBI is divided into two phases: primary and secondary brain injury. There are various scales to assess victims after injuries,  in case of head injuries the most important is Glasgow Coma Scale (GCS). The most common scale used to evaluate the results of treatment of patients after TBI is Glasgow Outcome Scale (GOS). The prognosis after TBI is generally unfavorable, there are a few factors which can try to assess outcomes or there are two prognostic calculators available on the Internet.Key words: traumatic brain injury, epidemiology, scale, outcom

    Spatiotemporal complexity patterns of resting‐state bioelectrical activity explain fluid intelligence : sex matters

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    Neural complexity is thought to be associated with efficient information processing but the exact nature of this relation remains unclear. Here, the relationship of fluid intelligence (gf) with the resting‐state EEG (rsEEG) complexity over different timescales and different electrodes was investigated. A 6‐min rsEEG blocks of eyes open were analyzed. The results of 119 subjects (57 men, mean age = 22.85 ± 2.84 years) were examined using multivariate multiscale sample entropy (mMSE) that quantifies changes in information richness of rsEEG in multiple data channels at fine and coarse timescales. gf factor was extracted from six intelligence tests. Partial least square regression analysis revealed that mainly predictors of the rsEEG complexity at coarse timescales in the frontoparietal network (FPN) and the temporo‐parietal complexities at fine timescales were relevant to higher gf. Sex differently affected the relationship between fluid intelligence and EEG complexity at rest. In men, gf was mainly positively related to the complexity at coarse timescales in the FPN. Furthermore, at fine and coarse timescales positive relations in the parietal region were revealed. In women, positive relations with gf were mostly observed for the overall and the coarse complexity in the FPN, whereas negative associations with gf were found for the complexity at fine timescales in the parietal and centro‐temporal region. These outcomes indicate that two separate time pathways (corresponding to fine and coarse timescales) used to characterize rsEEG complexity (expressed by mMSE features) are beneficial for effective information processing

    Czeka nas muzyczne esperanto. Z Adamem Strugiem rozmawia Piotr Grochowski

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    Adam Strug śpiewak i instrumentalista, autor piosenek, kompozytor muzyki teatralnej i filmowej, producent i kurator muzyczny, reżyser i scenarzysta filmów dokumentalnych, popularyzator muzyki tradycyjnej. W latach 90. Współtworzył Bractwo Ubogich, pierwszy polski zespół wykonujący muzykę ludową w wersji in crudo. Organizuje spotkania śpiewacze, prowadzi audycje radiowe i telewizyjne, w ramach których popularyzuje polską i obcą muzykę tradycyjną. Jest pomysłodawcą zespołu śpiewaczego Monodia Polska, praktykującego pieśni przekazywane w tradycji ustnej.Adam Strug singer and instrumentalist, songwriter, composer of theater and film music, music producer and curator, director and screenwriter of documentary films, and popularizer of traditional music. In the 1990s he co-founded Bractwo Ubogich, the first Polish band to perform folk music in crudo. He organizes singing meetings and broadcasts radio and television programmes popularizing Polish and foreign traditional music. He is the originator of the Monodia Polska singing group, which practices songs passed on in the oral tradition

    DATA–DRIVEN MODELS FOR FAULT DETECTION USING KERNEL PCA: A WATER DISTRIBUTION SYSTEM CASE STUDY

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    Kernel Principal Component Analysis (KPCA), an example of machine learning, can be considered a non-linear extension of the PCA method. While various applications of KPCA are known, this paper explores the possibility to use it for building a data-driven model of a non-linear system—the water distribution system of the Chojnice town (Poland). This model is utilised for fault detection with the emphasis on water leakage detection. A systematic description of the system’s framework is followed by evaluation of its performance. Simulations prove that the presented approach is both flexible and efficient

    The Initial Factors with Strong Predictive Value in Relation to Six-Month Outcome among Patients Operated due to Extra-Axial Hematomas

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    Introduction: Traumatic brain injuries (TBI) are a real social problem, with an upward trend worldwide. The most frequent consequence of a traumatic brain injury is extra-axial hemorrhage, i.e., an acute subdural (SDH) and epidural hematoma (EDH). Most of the factors affecting the prognosis have been analyzed on a wide group of traumatic brain injuries. Nonetheless, there are few studies analyzing factors influencing the prognosis regarding patients undergoing surgery due to acute subdural and epidural hematoma. The aim of this study was to identify the factors which have the strongest prognostic value in relation to the 6-month outcome of the patients undergoing surgery for SDH and EDH. Patients and methods: The study included a group of 128 patients with isolated craniocerebral injuries. Twenty eight patients were operated upon due to EDH, and a group of 100 patients were operated upon due to SDH. The following factors from the groups were analyzed: demographic data, physiological factors, laboratory factors, computed tomography scan characteristics, and time between the trauma and the surgery. All of these factors were correlated in a multivariate analysis with the six-month outcome in the Glasgow outcome scale. Results: The factors with the strongest prognostic value are GCS score, respiration rate, saturation, glycaemia and systolic blood pressure. Conclusion: Initial GCS score, respiratory rate, saturation, glycaemia and systolic blood pressure were the factors with the strongest prognostic value

    Simultaneous Comparison of Aqueous Humor and Serum Metabolic Profiles of Diabetic and Nondiabetic Patients Undergoing Cataract Surgery—A Targeted and Quantitative Metabolomics Study

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    The aim of this study was to compare the aqueous humor (AH) and serum concentrations of metabolites in diabetic (n = 36) and nondiabetic (n = 36) senior adults undergoing cataract surgery. Blood samples were collected before surgery and AH during surgery. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS)-based targeted metabolomic and lipidomic analyses of samples were performed using the AbsoluteIDQ® p180 kit. Out of 188 metabolites targeted by the kit, 41 and 133 were detected in >80% of AH and serum samples, respectively. Statistical analysis performed to indicate metabolites differentiating diabetic and nondiabetic patients showed 8 and 20 significant metabolites in AH and serum, respectively. Pathway analysis performed for significant metabolites revealed that galactose metabolism is mostly affected in the AH, while arginine biosynthesis is mostly affected in the serum. Among metabolites that differentiate diabetic and nondiabetic patients, arginine was the only metabolite common to both serum and AH samples, as well as the only one with a decreased concentration in both body fluids of diabetic patients. Concentrations of the rest were elevated in AH and lowered in serum. This may suggest different mechanisms of diabetes-related dysregulation of the local metabolism in the eye in comparison to systemic changes observed in the blood
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