Search results for: dna sequence recognition - Bridge of Knowledge

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Search results for: dna sequence recognition

Search results for: dna sequence recognition

  • Recognition and sensing of anions

    Publication

    Molecular ion recognition is one of the most intensively studied areas of supramolecular technology. The reason for this is the essential role that ions play in many biological as well as industrial processes. On the other hand, however, it has been proved that ions can have a negative impact on human health and the environment. For these reasons, it is extremly important to develop rapid and simple methods allowing the determination...

  • On the regularity of the displacement sequence of an orientation preserving circle homeomorphism

    We investigate the regularity properties of the displacemnet sequence of an orientation preserving circle homeomorphism. is rational, then ηn(z) is asymptotically periodic with semi-period q. This

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  • Language Models in Speech Recognition

    Publication

    - Year 2022

    This chapter describes language models used in speech recognition, It starts by indicating the role and the place of language models in speech recognition. Mesures used to compare language models follow. An overview of n-gram, syntactic, semantic, and neural models is given. It is accompanied by a list of popular software.

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  • Integration in Multichannel Emotion Recognition

    Publication

    - Year 2018

    The paper concerns integration of results provided by automatic emotion recognition algorithms. It presents both the challenges and the approaches to solve them. Paper shows experimental results of integration. The paper might be of interest to researchers and practitioners who deal with automatic emotion recognition and use more than one solution or multichannel observation.

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  • Interstrand crosslinking of DNA in tumor and fibroblast cells by C-1311 (Symadex) and other imidazoacridinones

    Imidazoakrydony, w tym pochodna C-1311 znajdująca się w pierwszej fazie badań klinicznych prowadzonych przez firmę Xanthus Life Sciences, należą do grupy bardzo aktywnych związków przeciwnowotworowych zsyntetyzowanych w Katedrze Technologii Leków i Biochemii PG. Za pomocą zmodyfikowanej metody Parsons'a wykazaliśmy, że C-1311 indukuje w sposób zależny od stężenia międzyłańcuchowe wiązania sieciujące w komórkach różnych nowotworów...

  • Human emotion recognition with biosignals

    Publication

    - Year 2022

    This chapter presents issues in the field of affective computing. Basic preliminary information for the recognition of emotions is given and models of emotions, various ways of evoking emotions, as well as their theoretical foundations are discussed. The particular attention is given to the use of physiological signals in recognizing emotions. This subject is outlined further below by presenting selected biosignals, their relationship...

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  • DNA REPAIR

    Journals

    ISSN: 1568-7864 , eISSN: 1568-7856

  • Mobile DNA

    Journals

    ISSN: 1759-8753

  • DNA Reporter

    Journals

    ISSN: 0418-5412

  • Environmental DNA

    Journals

    eISSN: 2637-4943

  • Mitochondrial DNA

    Journals

    ISSN: 1940-1736

  • Application of Maximum Lenght Sequence in Silent Sonar

    Publication

    Silent sonars are designed to reduce the distance over which their sounding pulses can be detected by intercept sonars. In order to meet this objective, we can use periodical sounding signals that have low power, a very long duration and wide spectrum. If used in the silent sonar's receiver, matched filtration ensures very good detection of motionless or slow moving targets. However, it is more difficult to detect echo signals...

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  • Automatic sound recognition for security purposes

    Publication

    - Year 2008

    In the paper an automatic sound recognition system is presented. It forms a part of a bigger security system developed in order to monitor outdoor places for non-typical audio-visual events. The analyzed audio signal is being recorded from a microphone mounted in an outdoor place thus a non stationary noise of a significant energy is present in it. In the paper an especially designed algorithm for outdoor noise reduction is presented,...

  • Recognition of Hand Drawn Flowcharts

    Publication

    - Year 2013

    In this paper the problem of hand drawn flowcharts recognition is presented. There are described two attitudes to this problem: on-line and off-line. A concept of FCE, a system for recognizing and understanding of freehand drawn on-line flow charts on desktop computer and mobile devices is presented. The first experiments with the FCE system and the planes for future are also described.

  • Semantic Integration of Heterogeneous Recognition Systems

    Publication

    - LECTURE NOTES IN COMPUTER SCIENCE - Year 2011

    Computer perception of real-life situations is performed using a variety of recognition techniques, including video-based computer vision, biometric systems, RFID devices and others. The proliferation of recognition modules enables development of complex systems by integration of existing components, analogously to the Service Oriented Architecture technology. In the paper, we propose a method that enables integration of information...

  • Identification and properties of the Deinococcus grandis andDeinococcus proteolyticus single-stranded DNA binding proteins (SSB)

    Publication

    W celu poznania właściwości biochemicznych białek SSB pochodzących z Deinococcus grandis (DgrSSB) i Deinococcus proteolyticus (DprSSB) sklonowano zaamplifikowane w reakcji PCR geny ssb w systemie ekspresyjnym Escherichia coli. Geny składają się z 891(DgrSSB) i 876 (DprSSB) nukleotydów kodujących odpowiednio 296 i 291 reszt aminokwasowych o teoretycznie wyznaczonej masie cząsteczkowej dla białek, równej 32,29 i 31,33 kDa. Sekwencja...

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  • Using Physiological Signals for Emotion Recognition

    Publication

    - Year 2013

    Recognizing user’s emotions is the promising area of research in a field of human-computer interaction. It is possible to recognize emotions using facial expression, audio signals, body poses, gestures etc. but physiological signals are very useful in this field because they are spontaneous and not controllable. In this paper a problem of using physiological signals for emotion recognition is presented. The kinds of physiological...

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  • Folding‐upon‐repair DNA nanoswitches for monitoring DNA repair enzymes activity

    Publication
    • N. Farag
    • R. Mattossovich
    • R. Merlo
    • Ł. Nierzwicki
    • G. Palermo
    • A. Porchetta
    • G. Perugino
    • F. Ricci

    - ANGEWANDTE CHEMIE-INTERNATIONAL EDITION - Year 2021

    We demonstrate here a new class of DNA‐based nanoswitches that, upon enzymatic repair, could undergo a conformational change mechanism leading to a change in fluorescent signal. Such folding‐upon‐repair DNA nanoswitches are synthetic DNA sequences containing O6‐methyl‐guanine (O6‐MeG) nucleobases and labelled with a fluorophore/quencher optical pair. The nanoswitches are rationally designed so that only upon enzymatic demethylation...

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  • Frequent Sequence Mining in Web Log Data

    Publication

    - Year 2018

    The amount of information available even on a single web server can be huge. On the other hand, the amount of visitors (users) can often reach a number of at least six digits. Users vary in gender, age and education, and in consequence their information needs are different. Moreover, they subconsciously expect to get more adequate content after visiting the first few pages. The scope of this kind of problem relates to the domain...

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  • Emotion Recognition for Affect Aware Video Games

    In this paper the idea of affect aware video games is presented. A brief review of automatic multimodal affect recognition of facial expressions and emotions is given. The first result of emotions recognition using depth data as well as prototype affect aware video game are presented

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  • Emotion Recognition and Its Applications

    The paper proposes a set of research scenarios to be applied in four domains: software engineering, website customization, education and gaming. The goal of applying the scenarios is to assess the possibility of using emotion recognition methods in these areas. It also points out the problems of defining sets of emotions to be recognized in different applications, representing the defined emotional states, gathering the data and...

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  • Distribution of the displacement sequence of an orientation preserving circle homeomorphism

    Publication

    In some applications not only the knowledge of the behaviour of trajectories of a map is important, but also their displacements. We describe in detail the distribution of elements of the displacement sequence along a trajectory of an orientation preserving circle homeomorphism ϕ with irrational rotation number ϱ(ϕ). The values of displacement are dense in a set which depends on the map γ (semi-)conjugating ϕ with the rotation...

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  • A method to determine the tightening sequence for standing rigging of a mast

    Publication

    The article proposes an alternative method to determine the sequence of generation of pre-tension forces in standing rigging of a mast. The proposed approach has been verified on both a virtual simulation experiment and laboratory tests. In this method, the desired tension values are obtained using the influence matrix which allows to calculate the effect of tension change in an individual rope on the tension distribution in the...

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  • Examining Feature Vector for Phoneme Recognition

    Publication

    - Year 2018

    The aim of this paper is to analyze usability of descriptors coming from music information retrieval to the phoneme analysis. The case study presented consists in several steps. First, a short overview of parameters utilized in speech analysis is given. Then, a set of time and frequency domain-based parameters is selected and discussed in the context of stop consonant acoustical characteristics. A toolbox created for this purpose...

  • Rough Sets Applied to Mood of Music Recognition

    Publication

    - Year 2016

    With the growth of accessible digital music libraries over the past decade, there is a need for research into automated systems for searching, organizing and recommending music. Mood of music is considered as one of the most intuitive criteria for listeners, thus this work is focused on the emotional content of music and its automatic recognition. The research study presented in this work contains an attempt to music emotion recognition...

  • Emotion Recognition Using Physiological Signals

    Publication

    - Year 2015

    In this paper the problem of emotion recognition using physiological signals is presented. Firstly the problems with acquisition of physiological signals related to specific human emotions are described. It is not a trivial problem to elicit real emotions and to choose stimuli that always, and for all people, elicit the same emotion. Also different kinds of physiological signals for emotion recognition are considered. A set of...

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  • Facial emotion recognition using depth data

    Publication

    - Year 2015

    In this paper an original approach is presented for facial expression and emotion recognition based only on depth channel from Microsoft Kinect sensor. The emotional user model contains nine emotions including the neutral one. The proposed recognition algorithm uses local movements detection within the face area in order to recognize actual facial expression. This approach has been validated on Facial Expressions and Emotions Database...

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  • Emotion recognition and its application in software engineering

    In this paper a novel application of multimodal emotion recognition algorithms in software engineering is described. Several application scenarios are proposed concerning program usability testing and software process improvement. Also a set of emotional states relevant in that application area is identified. The multimodal emotion recognition method that integrates video and depth channels, physiological signals and input devices...

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  • The accuracy of pulse rate estimation from the sequence of face images

    Publication

    - Year 2016

    The goal of this paper is to analyze the accuracy of pulse rate estimation from the sequence of face images. Simulated and real signals were used to evaluate two pulse rate estimators; one for frequency domain and the second one for time domain using the autocorrelation function. The results show that the mean difference between the reference measurements and estimated pulse rate values are about 2bpm. In the analysis of short...

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  • Dependable Integration of Medical Image Recognition Components

    Computer driven medical image recognition may support medical doctors in the diagnosis process, but requires high dependability considering potential consequences of incorrect results. The paper presentsa system that improves dependability of medical image recognition by integration of results from redundant components. The components implement alternative recognition algorithms of diseases in thefield of gastrointestinal endoscopy....

  • Feature extraction in detection and recognition of graphical objects

    Publication

    - Year 2022

    Detection and recognition of graphic objects in images are of great and growing importance in many areas, such as medical and industrial diagnostics, control systems in automation and robotics, or various types of security systems, including biometric security systems related to the recognition of the face or iris of the eye. In addition, there are all systems that facilitate the personal life of the blind people, visually impaired...

  • Mining inconsistent emotion recognition results with the multidimensional model

    Publication

    - IEEE Access - Year 2021

    The paper deals with the challenge of inconsistency in multichannel emotion recognition. The focus of the paper is to explore factors that might influence the inconsistency. The paper reports an experiment that used multi-camera facial expression analysis with multiple recognition systems. The data were analyzed using a multidimensional approach and data mining techniques. The study allowed us to explore camera location, occlusions...

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  • Guido: a musical score recognition system

    Publication

    - Year 2007

    This paper presents an optical music recognition system Guido that can automatically recognize the main musical symbols of music scores that were scanned or taken by a digital camera. The application is based on object model of musical notation and uses linguistic approach for symbol interpretation and error correction. The system offers musical editor with a partially automatic error correction.

  • Towards neural knowledge DNA

    Publication

    - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Year 2017

    In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a fundamental field that dedicates to representing information about the world in a form that computer systems can utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed to support discovering, storing, reusing,...

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  • Identification, cloning, expression, and characterizationof a highly thermostable single-stranded-DNA-binding protein (SSB) from Deinococcus murrayi

    Zidentyfikowano i scharakteryzowano białko SSB-podobne, pochodzące z Deinococcus murrayi (DmuSSB). Otrzymany w reakcji PCR fragment zawierający kompletny gen ssb sklonowano w systemie ekspresyjnym Escherichia coli. Gen składa się z 826 nt, kodujących 276 reszt aminokwasowych z wyliczoną teoretycznie masą cząsteczkową monomeru równą 30,14 kDa. DmuSSB zawiera dwie domeny wiążące jednoniciowe DNA OBna monomer I funkcjonuje jako homodimer....

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  • Multimodal English corpus for automatic speech recognition

    A multimodal corpus developed for research of speech recognition based on audio-visual data is presented. Besides usual video and sound excerpts, the prepared database contains also thermovision images and depth maps. All streams were recorded simultaneously, therefore the corpus enables to examine the importance of the information provided by different modalities. Based on the recordings, it is also possible to develop a speech...

  • Primary role identification in e-mail networks using pattern subgraphs and sequence diagrams

    Publication

    - Year 2012

    Social networks often forms very complex structures that additionally change over time. Description of actors' roles in such structures requires to take into account this dynamics reflecting behavioral characteristics of the actors. A role can be defined as a sequence of different types of activities. Various types of activities are modeled by pattern subgraphs, whereas sequences of these activities are modeled by sequence diagrams....

  • Taq DNA polymerase fused with DNA binding protein with increased resistance to inhibitors from clinical samples

    Publication

    Nowadays PCR method is commonly used in molecular diagnostic. However, in many cases PCR is limited, by the presence of inhibitory substances in biological, soil or food samples Efficiency and fidelity of amplification is strongly connected with DNA polymerase and reaction conditions. To meet the requirements of modern diagnostic methods it is essential to seeking for new DNA polymerases with better properties useful in these field....

  • Multiclass AdaBoost Classifier Parameter Adaptation for Pattern Recognition

    The article presents the problem of parameter value selection of the multiclass ``one against all'' approach of an AdaBoost algorithm in tasks of object recognition based on two-dimensional graphical images. AdaBoost classifier with Haar features is still used in mobile devices due to the processing speed in contrast to other methods like deep learning or SVM but its main drawback is the need to assembly the results of binary...

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  • Viability of decisional DNA in robotics

    Publication

    - Procedia Computer Science - Year 2014

    The Decisional DNA is an artificial intelligence system that uses prior experiences to shape future decisions. Decisional DNA is written in the Set Of Experience Knowledge Structure (SOEKS) and is capable of capturing and reusing a broad range of data. Decisional DNA has been implemented in several fields including Alzheimer’s diagnosis, geothermal energy and smart TV. Decisional DNA is well suited to use in robotics due to the...

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  • Ocena wpływu pokarmowych kwasów nukleinowych i ich komponentów na replikacyjną i naprawczą syntezę DNA w modelach komórek ludzkiego układu pokarmowego

    Publication

    - Year 2023

    Kwasy nukleinowe, do których należą DNA i RNA, są podstawowymi elementami każdej komórki niezbędnymi do prawidłowego funkcjonowania organizmu. Pomimo, że cząsteczki te stanowią również nieodłączne składniki produktów żywnościowych spożywanych przez człowieka, to badania na temat ich zawartości w żywności oraz wartości odżywczej są ograniczone. Wyniki uzyskane w niniejszej pracy doktorskiej pokazały istotne różnice w ilości, wielkości...

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  • Modified DNA polymerases for PCR troubleshooting

    PCR has become an essential tool in biological science. However, researchers often encounter problems with difficult targets, inhibitors accompanying the samples, or PCR trouble related to DNA polymerase. Therefore, PCR optimization is necessary to obtain better results. One solution is using modified DNA polymerases with desirable properties for the experiments. In this article, PCR troubleshooting, depending on the DNA polymerase...

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  • Voice command recognition using hybrid genetic algorithm

    Publication

    Abstract: Speech recognition is a process of converting the acoustic signal into a set of words, whereas voice command recognition consists in the correct identification of voice commands, usually single words. Voice command recognition systems are widely used in the military, control systems, electronic devices, such as cellular phones, or by people with disabilities (e.g., for controlling a wheelchair or operating a computer...

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  • Investigating Feature Spaces for Isolated Word Recognition

    Publication

    - Year 2018

    Much attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...

  • Anion recognition by n,n'-diarylalkanediamides

    Publication

    The preparation of N,N'-diarylalkanediamides from respective aliphatic dicarboxylic acidesand 4-nitroaniline via microwave-promoted reactions is presented. The most positive effect of microwave irradiation was observed for N,N'-bis(4-nitrophenyl)butanediamide. Anion binding studies on the obtained diamides were carried out in DMSO and acetonitrile using UV-vis and 1H NMR spectroscopy. A mechanism for selective fluoride recognition...

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  • Adding Interpretability to Neural Knowledge DNA

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2022

    This paper proposes a novel approach that adds the interpretability to Neural Knowledge DNA (NK-DNA) via generating a decision tree. The NK-DNA is a promising knowledge representation approach for acquiring, storing, sharing, and reusing knowledge among machines and computing systems. We introduce the decision tree-based generative method for knowledge extraction and representation to make the NK-DNA more explainable. We examine...

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  • Examining Influence of Distance to Microphone on Accuracy of Speech Recognition

    Publication

    The problem of controlling a machine by the distant-talking speaker without a necessity of handheld or body-worn equipment usage is considered. A laboratory setup is introduced for examination of performance of the developed automatic speech recognition system fed by direct and by distant speech acquired by microphones placed at three different distances from the speaker (0.5 m to 1.5 m). For feature extraction from the voice signal...

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  • A Fast Method of Separation of the Noisy Background from the Head-Cross Section in the Sequence of MRI Scans

    Publication

    The paper presents a new method of removing the noisy background from the sequence of magnetic resonance imaging (MRl) scans. The sequence of scans is required in order to monitor a passage of a contrast agent through the brain tissue. The scans contain the noisy head-cross data and also the noisy background data. The latter has to be removed and excluded from a further analysis. It is achieved by applying some basic morphological...

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  • Butyrylcholinesterase signal sequence self-aggregates and enhances amyloid fibril formation in vitro

    Publication
    • J. Jasiecki
    • M. Targońska
    • A. Janaszak-Jasiecka
    • L. Kalinowski
    • K. Waleron
    • B. Wasąg

    - CHEMICO-BIOLOGICAL INTERACTIONS - Year 2023

    Alzheimer’s disease (AD) pathogenesis has been attributed to extracellular aggregates of amyloid β (Aβ) plaques and neurofibrillary tangles in the human brain. It has been reported that butyrylcholinesterase (BChE) also accumulates in the brain Aβ plaques in AD. We have previously found that the BChE substitution in 5′UTR caused an in-frame N-terminal extension of 41 amino acids of the BChE signal peptide. The resultant variant...

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  • Paweł Sachadyn prof. dr hab. inż.