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Search results for: dna vaccine
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GRA1 protein vaccine confers better immune response compared to codon-optimized GRA1 DNA vaccine
PublicationW publikacji oszacowano immunogenność i właściwości protekcyjne szczepionki anty-Toxoplasma gondii opartej na białku rekombinantowym GRA1 oraz dwóch rodzajach szczepionek DNA (plazmidu zawierającego gen kodujący białko GRA1 dzikiego typu oraz modyfikowanego genu kodującego białko GRA1). Uzyskane wyniki sugerują lepsze właściowści immunoprotekcyjne rekombinantowego białka antygenowego niż szczepionek DNA.
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Sports Elite Means Vaccine Elite? Concerns and Beliefs Related to COVID-19 Vaccines among Olympians and Elite Athletes
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Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework
PublicationThe entire manufacturing spectrum is transforming with the advent of Industry 4.0. The features of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA) were utilized for developing Virtual Engineering Objects (VEO), Virtual Engineering Process (VEP) and Virtual Engineering Factory (VEF), which in turn facilitate the creation of smart factories. In this study, DDNA based Machine Monitoring for Total Maintenance...
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Does Mental Health Affect the Decision to Vaccinate Against SARS-CoV-2? A Cross-Sectional Nationwide Study Before the Vaccine Campaign
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Comparison of immune response in sheep immunized with DNA vaccine encoding Toxoplasma gondii GRA7 antigen in different adjuvant formulations
PublicationPraca przedstawia badania dotyczące odpowiedzi immunologicznej owiec immunizowanych plazmidowym DNA kodującym antygen granul GRA7 Toxoplasma gondii w trzech różnych formulacjach adjuvanta. Sześćdziesiąt owiec było szczepionych domięśniowo z DNa plazmidów. Dwanaście otrzymało liposomową formę plazmidu pVAXIgGRA7, 12 formulację z Emulsigen P plazmidu pVAXIgGRA7 1 12 formulację z Emulsigen D plazmidu pVAXIgGRA7. Wszystkie zwierzęta...
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Current status of toxoplasmosis vaccine development
PublicationToksoplazmoza, choroba wywoływana przez wewnątrzkomórkowego pasożyta Toxoplasma gondii jest szeroko rozpowszechniona na całym świecie. Zarażenie tym pasożytem stanowi bardzo poważny problem medyczny i weterynaryjny, ponieważ jest przyczyną ciężkiej wrodzonej postaci choroby (tzw. toksoplazmozy wrodzonej) oraz poronień, które dotyczą zarówno ludzi jak i zwierząt domowych. Toksoplazmoza może mieć także ciężki przebieg u osób upośledzoną...
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DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors
PublicationWe present a physics-based machine learning approach to predict in vitro transcription factor binding affinities from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations. The method is able to predict affinities obtained with techniques as different as uPBM, gcPBM and HT-SELEX with an excellent performance, much better than existing algorithms. Due to its nature, the method can...
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Modulation of immune response to Toxoplasma gondii in sheep by immunization with a DNA vaccine encoding ROP1 antigen as a fusion protein with ovine CD154
PublicationNiniejszy artykuł prezentuje porównanie skuteczności działania w immunizacji owiec dwóch antytoksoplazmozowych szczepionek DNA: kodującej białko ROP1 Toxoplasma gondii oraz kodującej w/w antygen i owczą cząsteczkę CD154 lokalizowaną na powierzchni aktywowanych komórek T. Otrzymane wyniki badań pokazały, iż domięśniowe podanie szczepionki DNA zawierającej gen kodujący ROP1 i CD154 znacząco wzmacnia odpowiedź immunologiczną szczepionych...
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Modulation of immune response to Toxoplasma gondii in sheep by immunization with a DNA vaccine encoding ROP1 antigen as a fusion protein with ovine CD154
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Analysing media coverage of India's vaccine diplomacy
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublicationLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
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COVID-19 Vaccine Boosters: The Good, the Bad, and the Ugly
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Bacteriophages as potential tools for use in antimicrobial therapy and vaccine development
PublicationThe constantly growing number of people suffering from bacterial, viral, or fungal infections, parasitic diseases, and cancers prompts the search for innovative methods of disease prevention and treatment, especially based on vaccines and targeted therapy. An additional problem is the global threat to humanity resulting from the increasing resistance of bacteria to commonly used antibiotics. Conventional vaccines based on bacteria...
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Willingness to Receive the Booster COVID-19 Vaccine Dose in Poland
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Energy Versus Throughput Optimisation for Machine-to-Machine Communication
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RSS-Based DoA Estimation for ESPAR Antennas Using Support Vector Machine
PublicationIn this letter, it is shown how direction-of-arrival (DoA) estimation for electronically steerable parasitic array radiator (ESPAR) antennas, which are designed to be integrated within wireless sensor network nodes, can be improved by applying support vector classification approach to received signal strength (RSS) values recorded at an antenna's output port. The proposed method relies on ESPAR antenna's radiation patterns measured...
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Dwa dni
PublicationDwa Dni, 1995 r., olej/płótno, 116 x 179 cm (dyptyk), sygnowany, datowany i opisany na odwrocie: KRZYSZTOF WRÓBLEWSKI | olej, płótno | "DWA DNI" | 116 x 179 cm | 1995 | monogram KW | wskazówki montażowe
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Global Prevalence and Drivers of Dental Students’ COVID-19 Vaccine Hesitancy
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The Extracellular Bacterial HtrA Proteins as Potential Therapeutic Targets and Vaccine Candidates
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Vaccine or Garlic–Is It a Choice? Awareness of Medical Personnel on Prevention of Influenza Infections
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Toxoplasma gondii: Chimeric Dr fimbriae as a recombinant vaccine against toxoplasmosis
PublicationW publikacji przedstawiono protekcyjne i immunogenne właściowści chimerycznych fimbrii typu Dr zawierających sekwencje epitopowe antygenów SAG1, MAG1 oraz GRA1 Toxoplasma gondii. Uzyskane wyniki porównano z właściwościami immunogennymi antygenowych białek rekombinantowych oraz poliwalentnego antygenu natywnego. Antygeny rekombinantowe indukują silną odpowiedź immunologiczną i w 89% zapobiegają formowaniu się cyst w mózgu myszy....
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Do we need a new vaccine to control the re-emergence of pertussis?
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A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
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A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
PublicationRNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes. Experimental validation of RPI has been time-consuming, paving the way for computational prediction methods. The major limiting factor of these methods has been the accuracy and confidence of the predictions, and our in-house experiments show that they fail to accurately predict RPI involving short RNA sequences such as TERRA RNA....
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Machine-to-Machine communication and data processing approach in Future Internet applications
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Network lifetime maximization in wireless mesh networks for machine-to-machine communication
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Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data
PublicationOpinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants regarding vaccination directly from people’s opinions on Twitter, based on the framework of the 6As taxonomy. Covid-19 vaccine acceptance...
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Antibody Response to Trivalent Influenza Vaccine in the Northern and the Southern Hemisphere in Elite Athletes
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Evaluation of the BNT162b2 Covid-19 Vaccine in Children 5 to 11 Years of Age
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Roads to the development of improved pertussis vaccines paved by immunology
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Vaccine versus infection – COVID-19-related loss of training time in elite athletes
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The Impact of a Single Educational Lecture on the Vaccine Confidence among Pregnant Women and Young Mothers
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CD4 TRM Cells Following Infection and Immunization: Implications for More Effective Vaccine Design
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Better Late Than Never: Predictors of Delayed COVID-19 Vaccine Uptake in Poland
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Experience-Based Decisional DNA (DDNA) to Support Product Development
PublicationKnowledge and experience are important requirements for product development. The aim of this paper is to propose a systematic approach for industrial product development. This approach uses smart knowledge management system comprising of Set of Experience Knowledge Structure and Decisional DNA (DDNA) along with Virtual Engineering Tools (Virtual engineering object, Virtual engineering process, and Virtual engineering factory)....
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Chimeric Dr fimbriae with a Herpes Simplex virus type 1 epitope as a model for a recombinant vaccine.
PublicationBiałko adhezyny DraE uropatogennych szczepów E. coli Dr+ zostało wykorzystane jako nośnik 11a a determinanty antygenowej glikoproteiny D wirusa HSV ty-pu 1. Sekwencja kodująca epitop HSV została wklonowana do genu draE w obrębie regionu N- terminalnego eksponowanej powierzchniowo domeny 2. Ekspresjachimerycznych białek DraE-HSV została potwierdzona za pomocą mikroskopii immunofluorescencyjnej i elektronowej.
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Experience Based Decisional DNA (DDNA) to Support Sustainable Product Design
PublicationThis paper presents the idea of providing engineering design knowledge to designers working on sustainable product design and development process. The new product development process often requires significant amount of design knowledge which can be saved and recalled by designers during the design process. This knowledge is very important for successful sustainable product development as it can include material selection, product...
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Cross section calculations for electron scattering from DNA and RNA bases.
PublicationPoliczono różniczkowy i scałkowany przekrój czynny na rozproszenie sprężyste elektronów (w przybliżeniu atomów niezależnych) na uracylu, cytozynie, guaninie, adeninie i tyminie w zakresie energii od 50-4000 eV. W przybliżeniu modelu BEB policzono również przekroje czynne na jonizację tych molekuł.
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Cross sections for electron scattering from selected components of DNA and RNA
PublicationWykorzystując metodę atomów niezależnych obliczono różniczkowe i całkowite przekroje czynne na sprężyste rozproszenie elektronów na wybranych drobinach, będących analogami składników DNA i RNA. Przekroje te obliczono w zakresie energii zderzenia od 50eV do 200 eV dla następujących drobin: C4H8O, C4H8O2, C5H10O2 oraz H3PO4. Przy użyciu metody BEB (binary-ecounter Bethe method) dla powyższych związków obliczono również przekroje...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublicationLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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Assessment of Failure Occurrence Rate for Concrete Machine Foundations Used in Gas and Oil Industry by Machine Learning
PublicationConcrete machine foundations are structures that transfer loads from machines in operation to the ground. The design of such foundations requires a careful analysis of the static and dynamic effects caused by machine exploitation. There are also other substantial differences between ordinary concrete foundations and machine foundations, of which the main one is that machine foundations are separated from the building structure....
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Double Fed Induction Machine Drives
PublicationContents of the Chapter 22:Machine model.Properties of the DFM.Steady state machine operation.Control rules and decoupled control.Decoupling based on MM machine model.Decoupling based on vector model.Decoupling based on rotor current equation.Overall control system.Control system based on MM model.Control system based on vector model.Estimation of variables.Calculation of the angle between stator and rotor.Remarks about digital...
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Speech Analytics Based on Machine Learning
PublicationIn this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...
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Therapeutic Potential of Multifunctional Tacrine Analogues
PublicationTacrine is a potent inhibitor of cholinesterases (acetylcholinesterase and butyrylcholinesterase) that shows limiting clinical application by liver toxicity. In spite of this, analogues of tacrine are considered as a model inhibitor of cholinesterases in the therapy of Alzheimer’s disease. The interest in these compounds is mainly related to a high variety of their structure and biological properties. In the present review, we...
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Simulations CAE of wood pellet machine
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Explainable machine learning for diffraction patterns
PublicationSerial crystallography experiments at X-ray free-electron laser facilities produce massive amounts of data but only a fraction of these data are useful for downstream analysis. Thus, it is essential to differentiate between acceptable and unacceptable data, generally known as ‘hit’ and ‘miss’, respectively. Image classification methods from artificial intelligence, or more specifically convolutional neural networks (CNNs), classify...
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Experimental verification of MWO bearing machine
PublicationPrzedstawiono wyniki weryfikacji doświadczalnej nowego stanowiska przeznaczonego do badań wytrzymałości zmęczeniowej warstwy powierzchniowej łożysk ślizgowych. Badano dwu- i trójwarstwowe cienkościenne panwie ślizgowe. Warstwa nośna wykonana była ze stopu CuPb30. W wariancie trójwarstwowym występowała powłoka ze stopu PbSnCu. Przedstawiono przykłady zaobserwowanych pęknięć zmęczeniowych. Maszyna MWO okazała się w pełni przydatna...
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Frequency and Nuisance Level of Adverse Events in Individuals Receiving Homologous and Heterologous COVID-19 Booster Vaccine
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A vector-enzymatic DNA fragment amplification-expression technology for construction of artificial, concatemeric DNA, RNA and proteins for novel biomaterials, biomedical and industrial applications
PublicationA DNA fragment amplification/expression technology for the production of new generation biomaterials for scientific, industrial and biomedical applications is described. The technology enables the formation of artificial Open Reading Frames (ORFs) encoding concatemeric RNAs and proteins. It recruits the Type IIS SapI restriction endonuclease (REase) for an assembling of DNA fragments in an ordered head-to-tail-orientation. The...
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The Perception and Attitudes toward COVID-19 Vaccines: A Cross-Sectional Study in Poland
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