Relationship Between Anti-DFS70 Autoantibodies and Oxidative Stress

Background: The anti-DFS70 autoantibodies are one of the most commonly and widely described agent of unknown clinical significance, frequently detected in healthy individuals. It is not known whether the DFS70 autoantibodies are protective or pathogenic. One of the factors suspected of inducing the formation of anti-DFS70 antibodies is increased oxidative stress. We evaluated the coexistence of anti-DFS70 antibodies with selected markers of oxidative stress and investigated whether these antibodies could be considered as indirect markers of oxidative stress. Methods: The intensity of oxidative stress was measured in all samples via indices of free-radical damage to lipids and proteins such as total oxidant status (TOS), concentrations of lipid hydroperoxides (LPH), lipofuscin (LPS), and malondialdehyde (MDA). The parameters of the non-enzymatic antioxidant system, such as total antioxidant status (TAS) and uric acid concentration (UA), were also measured, as well as the activity of superoxide dismutase (SOD). Based on TOS and TAS values, the oxidative stress index (OSI) was calculated. All samples were also tested with indirect immunofluorescence assay (IFA) and 357 samples were selected for direct monospecific anti DFS70 enzyme-linked immunosorbent assay (ELISA) testing. Results: The anti-DFS70 antibodies were confirmed by ELISA test in 21.29% of samples. Compared with anti-DFS70 negative samples we observed 23% lower concentration of LPH (P =.038) and 11% lower concentration of UA (P =.005). TOS was 20% lower (P =.014). The activity of SOD was up to 5% higher (P =.037). The Pearson correlation showed weak negative correlation for LPH, UA, and TOS and a weak positive correlation for SOD activity. Conclusion: In samples positive for the anti-DFS70 antibody a decreased level of oxidative stress was observed, especially in the case of samples with a high antibody titer. Anti-DFS70 antibodies can be considered as an indirect marker of reduced oxidative stress or a marker indicating the recent intensification of antioxidant processes

Gra zmysłów. Multimodalność w polskim reportażu na przykładzie „Outriders”

The overwhelming inflow of information and the rising competitiveness on the market for media require editorial offices to constantly fight for the audience’s attention. At times when they, given the ever-increasing amounts of stimuli, tend to become bored in the blink of an eye, journalists wonder how to encourage them to engage in a good read. A possible solution to this problem could be the intensification of multimodality’s role in media broadcasts. Such multimodality can be used in multimedia reports, which are increasing in popularity. In Poland, a group involved in such activities is called “Outriders”.The overwhelming inflow of information and the rising competitiveness on the market for media require editorial offices to constantly fight for the audience’s attention. At times when they, given the ever-increasing amounts of stimuli, tend to become bored in the blink of an eye, journalists wonder how to encourage them to engage in a good read. A possible solution to this problem could be the intensification of multimodality’s role in media broadcasts. Such multimodality can be used in multimedia reports, which are increasing in popularity. In Poland, a group involved in such activities is called “Outriders”

Wielopoziomowe ograniczone minimalne drzewo rozpinające

Problem Multi-level Capacitated Minimum Spanning Tree (MLCMST) jest sieciowym problemem, który wyłonił się na początku 21go wieku i wzbudził dość duże zainteresowanie w ciągu ostatnich 20tu lat. Ten problem jest generalizacją innego problemu sieciowego, Capacitated Minimum Spanning Tree (CMST), i ma na celu modelować wyzwania napotykane w nowoczesnym projektowaniu sieci. Ta praca ma na celu zebranie i klasyfikacje heurystyk i matematycznych programów używanych do rozwiązywania problemu MLCMST. Przedstawia ona także programistyczny projekt zawierający implementację heurystyk i programów liniowych. Projekt ten ma ułatwić eksperymentację z nowymi pomysłami próbującymi rozwiązać problem MLCMST.The Multi-level Capacitated Minimum Spanning Tree (MLCMST) problem is a network problem that emerged at the beginning of the $21^{th}$ century and has garnered a considerable attention in the last 20 years. This problem is a generalization of another network problem, Capacitated Minimum Spanning Tree (CMST), and aims to capture challenges encountered in modern network design. This paper is intended to gather and classify heuristics and mathematical programming formulations used in tackling the Multi-level Capacitated Minimum Spanning Tree problem. It also introduces a C++ framework, containing implementations of heuristics and linear programs, with purpose of providing a foothold for experimenting with new approaches to tackling MLCMST problem

Design and implementation of a competency management application in a small IT company

W tej pracy opisane jest zagadnienie kompetencji pracowniczych. Przedstawiony jest również problem przypisania i różne jego rozwiązania. Ponadto poniższa praca zawiera projekt oraz implementacje aplikacji rozwiązującej problem przypisania w czasie wielomianowym z użyciem metody węgierskiej.In this paper issue of employee's competence is explored. It also shows the assignment problem together with various solutions for said problem. Furthermore it contains project and implementation of an application which solves the assignment problem in polynomial time using the Hungarian algorythm

Generacja grafów w projekcie Arachne

W tej pracy opisany jest łatwy do poszerzenia moduł projektu Arachne, służący do generacji wszystkich nieizomorficznych grafów skierowanych i nieskierowanych określonej klasy.In this paper an easily expandable module for generating all non-isomorphic graphs and digraphs of a particular class is introduced. This module is a part of an open-source project Arachne

Selected methods of data mining in the diagnosis of melanoma malignum

Praca ta opisuje zagadnienia związane ze sztuczną inteligencją i głębokim uczeniem. Przybliżono również metody badania czerniaka oraz zaproponowano model sieci neuronowej, który ze skutecznością bliską 90% diagnozuje znamię na podstawie zdjęcia. Otrzymane wyniki porównano z tymi, które przedstawiono, w przywołanych publikacjach o zbliżonej tematyce.This work describes issues related to artificial intelligence and deep learning. The methods of examining melanoma were also introduced and a neural network model was proposed, which diagnoses a nevus on the basis of a photo with an efficiency close to 90%. The obtained results were compared with those presented in the cited publications on similar topics