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Search results for: DNA VACCINE
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Historia da Educacao
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Mundo da Saude
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Zabytki na Mazowszu
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Processing of 1-nitroacridine-induced DNA-DNA cross-links by topoisomerase I is associated with enhanced cellular survival: a possible role of topoisomerase I in the removal of DNA cross-links
PublicationW tej pracy wykazujemy, że modyfikacje plazmidu indukowane przez wzrastające dawki 1-nitroakrydyn (nitracrine i związek C-857) prowadzą do zahamowania aktywności katalitycznej topoizomerazy I. Hamowanie to związane jest z pojawieniem się pojedynczoniciowych uszkodzeń DNA i tworzeniem kowalencyjnych kompleksów topoizomeraza I-DNA. Nie obserwowano takich efektów dla topoizomerazy typu II.Dalsze badania wykazały, że jedna z 1-nitroakrydyn...
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Wpływ falistości pierścienia ślizgowego na rozpływ prądu w zestyku ślizgowym maszyny synchronicznej = Influence of slip-ring waviness on current distribution in the sliding contact of a synchronous machine
PublicationZestyk ślizgowy maszyny synchronicznej średniej i dużej mocy zawiera na ogół szereg równolegle pracujących szczotek na każdym z pierścieni. Szczotki znajdują się w oprawkach szczotkowych rozmieszczonych przestrzennie wzdłuż obwodu pierścienia. To sprawia, że pracują one w tej samej chwili czasowej na różnych fragmentach pierścienia ślizgowego. Nierównomierny rozpływ prądu może spowodować nadmierne obciążenie niektórych szczotek....
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Wpływ osiadania dna o postaci niecki na stan naprężenia w stalowej konstrukcji pionowego zbiornika walcowego
PublicationBezpośrednim powodem podjęcia prac naukowo - badawczych był rzeczywisty problem techniczny,który wystąpił w rafinerii w Gdańsku. W pracy zamieszczono obszerny przegląd literatury i norm technicznych dotyczących problemu osiadania zbiorników na paliwa. W ramach badań zaplanowano i zrealizowano pomiary tensometryczne oraz pomiary osiadań rzeczywistego stalowego, dwupłaszczowego zbiornika o pojemności V=20.000m3. Wykonano liczne testy...
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Termodynamika oddziaływań i przejść strukturalnych DNA w układach wodnych na podstawie symulacji metodą dynamiki molekularnej
PublicationKwas deoksyrybonukleinowy jest jednym z najistotniejszych elementów każdej żywej komórki ze względu na rolę głównego nośnika informacji genetycznej. Posiada on instrukcje potrzebne do wzrostu, budowy, funkcjonowania oraz namnażania się wielu żywych organizmów, w tym także wirusów. Okazuje się, że w zależności od warunków środowiskowych, DNA może przyjmować wiele różnych struktur drugorzędowych, z których większość stanowi formy...
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Fusion of Taq DNA polymerase with single-stranded DNA binding-like protein of Nanoarchaeum equitans—Expression and characterization
PublicationDNA polymerases are present in all organisms and are important enzymes that synthesise DNA molecules. They are used in various fields of science, predominantly as essential components for in vitro DNA syntheses, known as PCR. Modern diagnostics, molecular biology and genetic engineering need DNA polymerases which demonstrate improved performance. This study was aimed at obtaining a new NeqSSB-TaqS fusion DNA polymerase from the...
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Effect of antitumor compounds on the yeast topoisomerase II relaxation activity
Open Research DataThe datasets contain results of antitumor compounds* (known inhibitors of human topoisomerase alpha II) inhibitory activity against yeast topoisomerase II. DNA topoisomerases (Topo) are enzymes that catalyze changes in the spatial structure of DNA and play an important role in replication, transcription and recombination. Beyond their normal functions,...
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Jurnal Ilmu dan Teknologi Kelautan Tropis
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GULIWER. KWARTALNIK O KSIĄŻCE DLA DZIECKA
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Jurnal Ilmu Sosial dan Ilmu Politik
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Machine Graphics and Vision
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Identyfikacja współczynnika szorstkości kanału derywacyjnego doprowadzającego wodę do EW Bielkowo na podstawie pomiarów hydrometrycznych oraz obliczenie strat hydraulicznych dla różnych warunków hydraulicznych przepływu i przy zmiennym pokryciu dna kanału
PublicationW pracy opisano proces identyfikacji aktualnej wartości współczynnika szorstkości Manninga w kanale derywacyjnym w Kolbudach zasilającym Elektrownię Wodną Bielkowo wodą z rzeki Radunia. W celu zbadania szorstkości wykonano w dniu 25.06.2008r. pomiary hydrometryczne w przekroju pomiarowym zlokalizowanym przy moście drogowym w km 1+200 kanału. Wartość współczynnika szorstkości określono jako równą n=0,028.W opracowaniu przedstawiono...
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Inteligentny system transportu dla aglomeracji na przykładzie aglomeracji trójmiejskiej
PublicationZarządzanie systemem transportu w miastach wymaga uwzględnienia struktury, organizacji i funkcjonowania wszystkich jego podsystemów oraz zaplanowania i wdrożenia spójnych działań ukierunkowanych na zmianę określonych parametrów zgodnie z przyjętą wcześniej strategią. Ze względu na dynamiczny charakter struktury funkcjonalnej współczesnych miast niezbędne są narzędzia, które umożliwią gromadzenie informacji o strukturze odbywających...
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ANALIZA MOŻLIWOŚCI LOKALIZACJI DNW NA PRZYKŁADZIE GMINY MIASTA GDAŃSKA
PublicationW pracy analizie poddano trzy obiekty hydrotechniczne zlokalizowane w Gminie Miasta Gdańska pod możliwości zacumowania Domów Na Wodzie. Ocenę możliwości przystosowania obiektu hydrotechnicznego przeprowadzono pod kątem stosowanych systemów cumowniczych komunikacji z lądem, dostępności mediów, składowania odpadów komunalnych oraz lokalizacji miejsc postojowych.W wyniku przeprowadzonej analizy wykazano że w Gdańsku brak jest obiektów...
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Tworzenie map konceptów dla ontologii opartych na logice opisowej
PublicationW poprzednich pracach przedstawiono nową metodę reprezentacji wiedzy nazwaną metodą kartograficzną. Metoda ta pozwala na uchwycenie zależności pomiędzy pojęciami wyznaczonymi w ramach terminologii, jak również na stopniowe (w miarę zwiększania się naszej wiedzy) przyporządkowywanie indywidualnych obiektów tym pojęciom. Zależności te reprezentowane są w postaci tzw. mapy konceptów. Efektywność budowy mapy konceptów stanowi zagadnienie...
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Effect of new bisacridines IKE16, IKE18 and IE10 on the yeast topoisomerase II relaxation activity
Open Research DataThe datasets contain the results of new bisacridines IKE16, IKE18 and IE10 inhibition activity against yeast topoisomerase II. DNA topoisomerases (Topo) are enzymes that catalyze changes in the spatial structure of DNA and play an important role in replication, transcription and recombination. Beyond their normal functions, DNA topo are significant...
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Detection of Cystic Fibrosis Symptoms Based on X-Ray Images Using Machine Learning- Pilot Study
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Universal Predictors of Dental Students’ Attitudes towards COVID-19 Vaccination: Machine Learning-Based Approach
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Influence of geometry of iron poles on the cogging torque of a field control axial flux permanent magnet machine
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Quantitative Soil Characterization for Biochar–Cd Adsorption: Machine Learning Prediction Models for Cd Transformation and Immobilization
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Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
PublicationNowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of BRBFs plays a key role in deciding to retrofit buildings after seismic excitation; however, existing formulas have limitations and cannot effectively help civil engineers, e.g., FEMA P-58, which is a conservative estimation method. Therefore, there is a need to...
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Rapid Surrogate-Aided Multi-Criterial Optimization of Compact Microwave Passives Employing Machine Learning and ANNs
PublicationThis article introduces an innovative method for achieving low-cost and reliable multi-objective optimization (MO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks (ANNs), and multi-resolution electromagnetic (EM) analysis. We integrate the search process into a machine learning (ML) framework, where each iteration produces multiple infill points...
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Machine-Learning-Based Global Optimization of Microwave Passives with Variable-Fidelity EM Models and Response Features
PublicationMaximizing microwave passive component performance demands precise parameter tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often requires a comprehensive approach due to their complex geometries and miniaturized structures. However, the computational burden of optimizing these components via full-wave electromagnetic (EM) simulations is substantial. EM analysis remains crucial for circuit...
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Efficient Calibration of Cost-Efficient Particulate Matter Sensors Using Machine Learning and Time-Series Alignment
PublicationAtmospheric particulate matter (PM) poses a significant threat to human health, infiltrating the lungs and brain and leading to severe issues such as heart and lung diseases, cancer, and premature death. The main sources of PM pollution are vehicular and industrial emissions, construction and agricultural activities, and natural phenomena such as wildfires. Research underscores the absence of a safe threshold for particulate exposure,...
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Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
PublicationOne of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the ability to anticipate their flexural response. With a comprehensive grid search, several stacked models (i.e., chained, parallel) consisting of various machine learning (ML) algorithms and artificial neural networks (ANNs) were developed to predict the flexural response of SFRC beams. The flexural performance of SFRC beams under bending was...
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Active Learning on Ensemble Machine-Learning Model to Retrofit Buildings Under Seismic Mainshock-Aftershock Sequence
PublicationThis research presents an efficient computational method for retrofitting of buildings by employing an active learning-based ensemble machine learning (AL-Ensemble ML) approach developed in OpenSees, Python and MATLAB. The results of the study shows that the AL-Ensemble ML model provides the most accurate estimations of interstory drift (ID) and residual interstory drift (RID) for steel structures using a dataset of 2-, to 9-story...
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Cost-Efficient Measurement Platform and Machine-Learning-Based Sensor Calibration for Precise NO2 Pollution Monitoring
PublicationAir quality significantly impacts human health, the environment, and the economy. Precise real-time monitoring of air pollution is crucial for managing associated risks and developing appropriate short- and long-term measures. Nitrogen dioxide (NO2) stands as a common pollutant, with elevated levels posing risks to the human respiratory tract, exacerbating respiratory infections and asthma, and potentially leading to chronic lung...
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Development of an emulation platform for synchronous machine power generation system using a nonlinear functional level model
PublicationThe article presents the Power Hardware in the Loop (PHIL) approach for an autonomous power system analysis based on the synchronous generator model incorporating magnetic saturation effects. The model was prepared in the MATLAB/Simulink environment and then compiled into the C language for the PHIL platform implementation. The 150 kVA bidirectional DC/AC commercial-grade converter was used to emulate the synchronous generator....
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An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
PublicationThis study presents an advanced algorithm for selecting machine learning (ML) models for nitrous oxide (N2O) emission prediction in wastewater treatment plants (WWTPs) employing the activated sludge process. The examined ML models comprised multivariate adaptive regression spline (MARS), support vector machines (SVM), and extreme gradient boosting (XGboost). The study explores the concept that involves new criteria to select the...
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublicationTreatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...
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Prediction of Wastewater Quality at a Wastewater Treatment Plant Inlet Using a System Based on Machine Learning Methods
PublicationOne of the important factors determining the biochemical processes in bioreactors is the quality of the wastewater inflow to the wastewater treatment plant (WWTP). Information on the quality of wastewater, sufficiently in advance, makes it possible to properly select bioreactor settings to obtain optimal process conditions. This paper presents the use of classification models to predict the variability of wastewater quality at...
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Control Strategy of a Five-Phase Induction Machine Supplied by the Current Source Inverter With the Third Harmonic Injection
PublicationIn the five-phase induction machine (IM), it is possible to better use the electromagnetic circuit than in the three-phase IM. This requires the use of an adequate converter system which will be supplied by an induction machine. The electric drive system described, in this article, includes the five-phase induction machine supplied by the current source inverter (CSI). The proposed novelty—not presented previously—is the control...
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Ecology In Tribology: Selected Problems of Eliminating Natural Oil-Based Lubricants from Machine Friction Couples
PublicationThe elimination of mineral oil-based lubricants from machines has multiple beneficial effects on the natural environment. Firstly – these lubricants are a direct threat to the environment in the event of leaks; secondly – their elimination reduces the demand for crude oil from which they are obtained. In addition, in many cases, e.g. when replacing traditional lubricants with water, friction losses in the bearings can also be reduced...
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Application of fiber optic sensors using Machine Learning algorithms for temperature measurement of lithium-ion batteries
PublicationOptical fiber sensorsusing low-coherence interferometry require processing ofthe output spectrum or interferogramto quickly and accurately determine the instantaneous value of the measured quantity, such as temperature.Methods based on machine learning are a good candidate for this application. The application of four such methods in an optical fiber temperature sensoris demonstrated.Using aZnO-coated...
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Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various Machine learning techniques
PublicationMachine Learning (ML) method is widely used in engineering applications such as fracture mechanics. In this study, twenty different ML algorithms were employed and compared for the prediction of the fracture toughness and fracture load in modes I, II, and mixed-mode (I-II) of various materials, including fibre-reinforced concrete, cement mortar, sandstone, white travertine, marble, and granite. A set of 401 specimens of “Brazilian...
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Control of induction machine supplied by a current source inverter using the multi-scalar transformation and backstepping approach
PublicationThe paper describes the voltage control technique of squire-cage induction machines supplied by a current source inverter. The control system is based on new transformation of the electric drive system (machine and inverter) state variables to the multi-scalar variables form. The backstepping approach is used to obtain the feedback control law. The control system contains the structure of the observer...
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Design of new cholinesterase inhibitors based on phosphorus analogs of tacrine as potential anti-Alzheimer’s disease agents
PublicationBased on the analysis of the determined free binding energy (using the AutoDock Vina 1.1.2 docking program), the most potent cholinesterase inhibitors were selected. Moreover, studies of 3D visualization of the results of molecular modeling led to the identification of potential sites for the interaction of new potential inhibitors with amino acid residues building active sites of investigated cholinesterases.
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Chip suction system in circular sawing machine: empirical research and computational fluid dynamics numerical simulations
PublicationThe experimental analysis of the wood chip removing system during its redesigning in the existing sliding table circular saw and computational fluid dynamic (CFD) numerical simulations of the air flow process is presented in the paper. The attention was focused on the extraction hood and the bottom shelter of the actual existing system. The main aim was to perform experimental research on the pressure distribution inside the...
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Gentiana asclepiadea exerts antioxidant activity and enhances DNA repair of hydrogen peroxide- and silver nanoparticles-induced DNA damage
PublicationExposure to high levels of different environmental pollutants is known to be associated with induction of DNA damage in humans. Thus DNA repair is of great importance in preventing mutations and contributes crucially to the prevention of cancer. In our study we have focused on quantitative analysis of Gentiana asclepiadea aqueous or methanolic extracts obtained from flower and haulm, their antioxidant potency in ABTS post-column...
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Influence of Polymorphisms in DNA Repair GenesXPD, XRCC1andMGMTon DNA Damage Induced by Gamma Radiation and its Repair in LymphocytesIn Vitro
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Fusion of DNA-binding domain of Pyrococcus furiosus ligase with TaqStoffel DNA polymerase as a useful tool in PCR with difficult targets
PublicationThe DNA coding sequence of TaqStoffel polymer- ase was fused with the DNA-binding domain of Pyrococcus furiosus ligase. The resulting novel recombinant gene was cloned and expressed in E. coli. The recombinant enzyme was purified and its enzymatic features were studied. The fusion protein (PfuDBDlig-TaqS) was found to have enhanced processivity as a result of the conversion of the Taq DNA polymerase from a relatively low processive...
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Decisional DNA: the concept and its implementation platforms
PublicationOmowiono kopncepcje zarzadzania wiedza oparta na decyzyjnym DNA gdzie wiedza jest reprezentowana poprzez zbiory doswiadczen. Przedstawiono obecne oraz przyszle zastosowania omawianej koncepcji.
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Application of decisional DNA in web data mining
PublicationPrzedstawiono pilotową koncepcję i aplikację integracji reprezentacji wiedzy opartej na decyzyjnym DNA oraz systemów pozyskiwania wiedzy i danych z Internetu. Wskazano na zalety proponowanej integracji oraz przedstawiono kierunki przyszłych badań w tym zakresie.
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Mechanism for Damage to DNA by Low-Energy Electrons
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A case study of constructing decisional DNA on finanse
PublicationPrzedstawiono koncepcję i rozwiązanie analityczne opisu rynku finansowego przy pomocy reprezentacji wiedzy zwanej ''decyzyjne DNA''.
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Targeting DNA Topoisomerase II in Antifungal Chemotherapy.
PublicationTopoisomerase inhibitors have been in use clinically for the treatment of several diseases for decades. Although those enzymes are significant molecular targets in antibacterial and anticancer chemotherapy very little is known about the possibilities to target fungal topoisomerase II (topo II). Raising concern for the fungal infections, lack of effective drugs and a phenomenon of multidrug resistance underlie a strong need to expand...
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Revista de História da Sociedade e da Cultura
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Lokalne formuły opadowe dla Gdańska-Wrzeszcza na podstawie dwudziestoletnich obserwacji opadów na Politechnice Gdańskiej
PublicationW artykule przedstawiono podstawowe aspekty stosowania istniejących i opracowywania nowych lokalnych formuł opadowych. Zaprezentowano wyniki analizy 20-letnich obserwacji opadów na stacji pomiarowej Politechniki Gdańskiej i przedstawiono opracowane na ich podstawie lokalne formuły opadowe dla Gdańska-Wrzeszcza.