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Wyniki wyszukiwania dla: gas recognition

Wyniki wyszukiwania dla: gas recognition

  • Eye Blink Based Detection of Liveness in Biometric Authentication Systems Using Conditional Random Fields

    Publikacja

    - Rok 2012

    The goal of this paper was to verify whether the conditional random fields are suitable and enough efficient for eye blink detection in user authentication systems based on face recognition with a standard web camera. To evaluate this approach several experiments were carried on using a specially developed test application and video database.

  • Kinetics of cyclohexane removal by Candida subhashii and Fusarium solani

    Dataset presents cyclohexane biodegradation in gas phase using two species of microorganisms: Candida Subhashii and Fusarium solani. Biodegradation was carried out in sealed chambers with a capacity of 1000 ml. In each of them there are two discs inhabited with microorganisms, made of polyurethane foam, 80 mm in diameter and 20 mm thick.

  • Theory of recognition in a historical perspective. Axel Honneth's Anerkennung: Eine europäische Ideengeschichte

    The article discusses Honneth excursion into the realm of the history of ideas. This time Honneth decides to laser it on the notion of "recognition" in three different cultural areas and three different traditions: French, English, and German. The article discusses Honneth's persepctive and attempts at finding the common thread that would link three aforementioned traditions.

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  • Robot-Based Intervention for Children With Autism Spectrum Disorder: A Systematic Literature Review

    Publikacja
    • K. D. Bartl-Pokorny
    • P. Uluer
    • D. E. Barkana
    • A. Baird
    • H. Kose
    • T. Zorcec
    • B. Robins
    • B. Schuller
    • A. Landowska
    • M. Pykała

    - IEEE Access - Rok 2021

    Children with autism spectrum disorder (ASD) have deficits in the socio-communicative domain and frequently face severe difficulties in the recognition and expression of emotions. Existing literature suggested that children with ASD benefit from robot-based interventions. However, studies varied considerably in participant characteristics, applied robots, and trained skills. Here, we reviewed robot-based interventions targeting...

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  • Robust unsupervised georeferencing algorithm for aerial and satellite imagery

    Publikacja

    In order to eliminate a human factor and fully automate the process of embedding the spatial localization information in a remote sensed image the integrated georeferencing method was proposed. The paper presents this unsupervised and robust approach which is comprised of pattern recognition, using SIFT-based detector, and RANSAC based outlier removal with matching algorithm.

  • Recognition of Hand Drawn Flowcharts

    Publikacja

    - Rok 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.

  • Virtual Whiteboard: A gesture-controlled pen-free tool emulating school whiteboard

    Publikacja

    In the paper the so-called Virtual Whiteboard is presented which may be an alternative solution for modern electronic whiteboards based on electronic pens and sensors. The presented tool enables the user to write, draw and handle whiteboard contents using his/her hands only. An additional equipment such as infrared diodes, infrared cameras or cyber gloves is not needed. The user's interaction with the Virtual Whiteboard computer...

  • Investigating Feature Spaces for Isolated Word Recognition

    Publikacja
    • P. Treigys
    • G. Korvel
    • G. Tamulevicius
    • J. Bernataviciene
    • B. Kostek

    - Rok 2020

    The study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...

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  • Potential and Use of the Googlenet Ann for the Purposes of Inland Water Ships Classification

    Publikacja

    - Polish Maritime Research - Rok 2020

    This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and...

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  • A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces

    Publikacja
    • G. Tamulevicius
    • G. Korvel
    • A. B. Yayak
    • P. Treigys
    • J. Bernataviciene
    • B. Kostek

    - Electronics - Rok 2020

    In this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic speech emotion dataset with the size of more than 10.000 emotional utterances. Despite the bi-modal character of the databases gathered, our focus is on the acoustic representation...

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  • Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

    The future increased terminal capacity will result in more container movement through the road complex and rail siding, which are one of the most critical areas (potential bottlenecks) in the container terminal. Truck turnaround time is one of the major factors that customers take into account while deciding how many container volumes they will handle through the container terminal. To enable to optimize increased traffic with...

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  • On Facial Expressions and Emotions RGB-D Database

    Publikacja

    - Rok 2014

    The goal of this paper is to present the idea of creating reference database of RGB-D video recordings for recognition of facial expressions and emotions. Two different formats of the recordings used for creation of two versions of the database are described and compared using different criteria. Examples of first applications using databases are also presented to evaluate their usefulness.

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  • State of the art electronic nose technology and future trends

    Publikacja

    - Rok 2010

    This chapter briefly reviews the progress in field of artificial olfaction and demonstrates future trends in electronic nose technology. The discussion about e-nose concern also a big challenge for the pattern recognition (PARC) systems due to several particular problems they involve. Finally, the application of e-nose in different areas of life is given.

  • Effects of liquid phase modification on the performance of biotrickling filters

    Dane Badawcze

    Dataset presents the effects of liquid phase modification on the biotrickling filtration (BTF) performance of air polluted with toluene, ethylbenzene, xylene and styrene.

  • Guido: a musical score recognition system

    Publikacja

    - Rok 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.

  • Using Different Information Channels for Affect-Aware Video Games - A Case Study

    Publikacja

    - Rok 2018

    This paper presents the problem of creating affect-aware video games that use different information channels, such as image, video, physiological signals, input devices, and player’s behaviour, for emotion recognition. Presented case studies of three affect-aware games show certain conditions and limitations for using specific signals to recognize emotions and lead to interesting conclusions.

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  • Further developments of parameterization methods of audio stream analysis for secuirty purposes

    Publikacja

    - Rok 2009

    The paper presents an automatic sound recognition algorithm intended for application in an audiovisual security monitoring system. A distributed character of security systems does not allow for simultaneous observation of multiple multimedia streams, thus an automatic recognition algorithm must be introduced. In the paper, a module for the parameterization and automatic detection of audio events is described. The spectral analyses...

  • Feasibility Study for Food Intake Tasks Recognition Based on Smart Glasses

    Publikacja

    - Journal of Medical Imaging and Health Informatics - Rok 2015

    In this exploratory study 13 adult test subjects have performed different food intake tasks while wearing a three axis accelerometer mounted at a temple of glasses. Two different algorithms for task recognition have been applied and compared. The retrospective data processing leads to better task recognition results when the frequency range of 50 Hz to 100 Hz is analysed within accelerometer signal recordings. A straightforward...

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  • Pose classification in the gesture recognition using the linear optical sensor

    Publikacja

    Gesture sensors for mobile devices, which have a capability of distinguishing hand poses, require efficient and accurate classifiers in order to recognize gestures based on the sequences of primitives. Two methods of poses recognition for the optical linear sensor were proposed and validated. The Gaussian distribution fitting and Artificial Neural Network based methods represent two kinds of classification approaches. Three types...

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  • Automatic recognition of males and females among web browser users based on behavioural patterns of peripherals usage

    Publikacja

    - Internet Research - Rok 2016

    Purpose The purpose of this paper is to answer the question whether it is possible to recognise the gender of a web browser user on the basis of keystroke dynamics and mouse movements. Design/methodology/approach An experiment was organised in order to track mouse and keyboard usage using a special web browser plug-in. After collecting the data, a number of parameters describing the users’ keystrokes, mouse movements and clicks...

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  • Gesture recognition framework for multimedia content viewer controlling

    Publikacja

    In the paper a system for controlling a multimedia content viewer by hand gestures is presented. First, selected methods used for gesture recognition are described. Two different application cases of the system, i.e. for multimedia presentation purposes and for multimedia content viewing are outlined. Moreover, a proposal of improvement of the system combining these approaches is also given. The system work cycle is reviewed. The...

  • Forecast of basic fuel prices in imports to Poland (constant prices in USD in 2007)

    Dane Badawcze
    open access

    This dataset presents price growth forecasts for conventional energy sources. It should be noted that the Ministry of Economy forecasts a more than two-fold increase in oil prices (although these forecasts may be greatly underestimated) over 23 years, an almost two-fold increase in natural gas prices and a 40% increase in coal prices.

  • Distributed Representations Based on Geometric Algebra: the Continuous Model

    Publikacja

    - Informatica - Rok 2011

    Authors revise the concept of a distributed representation of data as well as two previously developed models: Holographic Reduced Representation (HRR) and Binary Spatter Codes (BSC). A Geometric Analogue (GAc - ''c'' stands for continuous as opposed to its discrete version) of HRR is introduced - it employs role-filler binding based on geometric products. Atomic objects are real-valued vectors in n-dimensional Euclidean space...

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  • Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations

    Publikacja

    - Information - Rok 2018

    The research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing and customizing the sentiment classification process (SCP) to the more accurate recognition of text tonality. This objective was achieved...

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  • Validating data acquired with experimental multimodal biometric system installed in bank branches

    An experimental system was engineered and implemented in 100 copies inside a real banking environment comprising: dynamic handwritten signature verification, face recognition, bank client voice recognition and hand vein distribution verification. The main purpose of the presented research was to analyze questionnaire responses reflecting user opinions on: comfort, ergonomics, intuitiveness and other aspects of the biometric enrollment...

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  • Automatic Watercraft Recognition and Identification on Water Areas Covered by Video Monitoring as Extension for Sea and River Traffic Supervision Systems

    Publikacja

    - Polish Maritime Research - Rok 2018

    The article presents the watercraft recognition and identification system as an extension for the presently used visual water area monitoring systems, such as VTS (Vessel Traffic Service) or RIS (River Information Service). The watercraft identification systems (AIS - Automatic Identification Systems) which are presently used in both sea and inland navigation require purchase and installation of relatively expensive transceivers...

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  • Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

    Publikacja

    - SENSORS - Rok 2022

    The automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...

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  • A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

    Publikacja

    In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...

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  • Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals

    Publikacja

    A method for feature extraction and results of classification of EEG signals obtained from performed and imagined motion are presented. A set of 615 features was obtained to serve for the recognition of type and laterality of motion using 8 different classifications approaches. A comparison of achieved classifiers accuracy is presented in the paper, and then conclusions and discussion are provided. Among applied algorithms the...

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  • Poland’s energy dependence - economic context

    Dane Badawcze
    open access

    Poland does not have vast resources of non-renewable energy and no nuclear power plant, therefore the issue of the energy dependence of the state, which affects the level of energy security of the country, is an extremely important factor. It depends on both the volume of imports of energy raw materials and the policy of diversification of sources of...

  • AUGMENTATION OF THE CRITICAL HEAT FLUX IN WATER-Al2O3, WATER-TiO2 AND WATER-Cu NANOFLUIDS

    Publikacja

    The main aim of the proposed study is therefore recognition of the phenomena accompanying nucleate boiling crisis of selected nanofluids during boiling on horizontal tubes of various outside diameters. Of particular interest is impact of contact angle and tube diameter on the value of critical heat flux. The results obtained should give more light on the nature of nucleate boiling crisis and will serve as a basis for future theoretical...

  • Activated Sludge Process Development

    Publikacja

    - Rok 2014

    This paper summarizes the most significant steps in the activated sludge process development and recognizes key contributors. Recognition of the roles of oxygen and living organisms was the first step (1882-1914). Ardern and Lockett (1914) named the accumulated olids "activated sludge". The process was rapidly accepted and applied in the period 1914-1930. The most dramatic changes in the activated sludge process understanding and...

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  • Biometryczna kontrola dostępu

    Opisano szczegółowo algorytm detekcji oraz identyfikacji człowieka na podstawie punktów nodalnych twarzy. Zdefiniowano pojęcia: biometria, proces pomiaru biometrycznego, metody biometrycznej identyfikacji oraz kontrola dostępu. Przedstawiono opis opracowanego systemu biometrycznej identyfikacji wykorzystującego sztuczne sieci neuronowe. Podano wyniki badań oraz przeprowadzono ich wnikliwą dyskusję.Biometrics is the study of automated...

  • EXAMINING INFLUENCE OF VIDEO FRAMERATE AND AUDIO/VIDEO SYNCHRONIZATION ON AUDIO-VISUAL SPEECH RECOGNITION ACCURACY

    Publikacja

    The problem of video framerate and audio/video synchronization in audio-visual speech recogni-tion is considered. The visual features are added to the acoustic parameters in order to improve the accuracy of speech recognition in noisy conditions. The Mel-Frequency Cepstral Coefficients are used on the acoustic side whereas Active Appearance Model features are extracted from the image. The feature fusion approach is employed. The...

  • The Influence of Selecting Regions from Endoscopic Video Frames on The Efficiency of Large Bowel Disease Recognition Algorithms

    The article presents our research in the field of the automatic diagnosis of large intestine diseases on endoscopic video. It focuses on the methods of selecting regions of interest from endoscopic video frames for further analysis by specialized disease recognition algorithms. Four methods of selecting regions of interest have been discussed: a. trivial, b. with the deletion of characteristic, endoscope specific additions to the...

  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publikacja

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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  • Towards Contactless, Hand Gestures-Based Control of Devices

    Publikacja

    Gesture-based intuitive interactions with electronic devices can be an important part of smart home systems. In this paper, we adapt the contactless linear gesture sensor for the navigation of smart lighting system. Set of handled gestures allow to propose two methods of active light source selection, continuous dimming, and turning on and off based on discrete gestures. The average gesture recognition accuracy was 97.58% in the...

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  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publikacja

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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  • Noise profiling for speech enhancement employing machine learning models

    Publikacja

    - Journal of the Acoustical Society of America - Rok 2022

    This paper aims to propose a noise profiling method that can be performed in near real-time based on machine learning (ML). To address challenges related to noise profiling effectively, we start with a critical review of the literature background. Then, we outline the experiment performed consisting of two parts. The first part concerns the noise recognition model built upon several baseline classifiers and noise signal features...

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  • Affective reactions to playing digital games

    Publikacja

    The paper presents a study of emotional states during a gameplay. An experiment of two-player Tetris game is reported, followed by the analysis of the results - self-reported emotional states as well as physiological signals measurements interpretation. The study reveals the diversity of emotional reactions and concludes, that a representative player's emotional model is hard to define. Instead, an adaptive approach to emotion...

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  • Accelerometer-based Human Activity Recognition and the Impact of the Sample Size

    Publikacja

    The presented study focused on the recognition of eight user activities (e.g. walking, lying, climbing stairs) basing on the measurements from an accelerometer embedded in a mobile device. It is assumed that the device is carried in a specific location of the user’s clothing. Three types of classifiers were tested on different sizes of the samples. The influence of the time window (the duration of a single trial) on selected activities...

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  • Using MusicXML to evaluate accuracy of OMR Systems

    Publikacja

    - Rok 2008

    In this paper a methodology for automatic accuracy evaluation in optical music recognition (OMR) applications is proposed. Presented approach assumes using ground truth images together with digital music scores describing their content. The automatic evaluation algorithm measures differences between the tested score and the reference one, both stored in MusicXML format. Some preliminary test results of this approach are presented...

  • Comparison of edge detection algorithms for electric wire recognition

    Publikacja

    Edge detection is the preliminary step in image processing for object detection and recognition procedure. It allows to remove useless information and reduce amount of data before further analysis. The paper contains the comparison of edge detection algorithms optimized for detection of horizontal edges. For comparison purposes the algorithms were implemented in the developed application dedicated to detection of electric line...

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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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  • TspGWI, a thermophilic class-IIS restriction endonuclease from Thermus sp.,recognizes novel asymmetric sequence 5´-ACGGA(N11/9)-3

    Publikacja
    • A. Żylicz-Stachula
    • R. I. Harasimowicz-Słowińska
    • I. Sobolewski
    • P. Skowron

    - NUCLEIC ACIDS RESEARCH - Rok 2002

    A novel prototype class-IIS restriction endonuclease, TspGWI, was isolated from the thermophilic bacterium Thermus sp. GW. The recognition sequence and cleavage positions have been established: TspGWI recognizes the non-palindromic 5-bp sequence 5′-ACGGA-3′ and cleaves the DNA 11 and 9 nt downstream in the top and bottom strand, respectively. In addition, an accompanying endonuclease, TspGWII, an isoschizomer of Pst I, was found...

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  • Several notes on technical modernization of a historical building

    Publikacja

    - Rok 2013

    This paper describes methods and means used during the renovation process of several elements of a building – the assembly hall, inner courtyards and attics of the main building at Gdansk University of Technology, both in design and construction domains. A tissue of a historic building required special approach to these tasks, with special emphasis on good recognition of problems, careful planning and consistent implementing of...

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  • Automatic Singing Voice Recognition EmployingNeural Networks and Rough Sets

    Publikacja

    Celem badań jest automatyczne rozpoznawanie głosów śpiewaczych w kategorii rodzaju i jakości technicznej śpiewu. W artykule opisano stworzoną bazę danych głosów, która zawiera próbki głosu śpiewaków profesjonalnych i amatorskich. W dalszej części opisano parametry zdefiniowane w oparciu o zjawiska biomechaniczne w narządzie głosu podczas śpiewania. W oparciu o stworzone macierze parametrów wytrenowano i porównano automatyczne klasyfikatory...

  • Identification of acoustic event of selected noise sources in a long-term environmental monitoring systems

    Publikacja
    • M. Kłaczyński
    • W. Cioch
    • T. Wszołek
    • W. Wszołek
    • D. Mleczko
    • P. Pawlik
    • A. Grzeczka

    - Rok 2014

    ABSTRACT Undertaking long-term acoustic measurements on sites located near an airport is related to a problem of large quantities of recorded data, which very often represents information not related to flight operations. In such areas, usually defined as zone of limited use, often other sources of noise exist, such as roads or railway lines treated is such context as acoustic background. Manual verification of such recorded data...

  • Optimizing Medical Personnel Speech Recognition Models Using Speech Synthesis and Reinforcement Learning

    Text-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons; TTS can help expand the data set. Speech can be synthesized by mimicking different accents, dialects, and speaking styles that may occur in a medical language. Reinforcement Learning (RL), in the...

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  • Anion recognition by n,n'-diarylalkanediamides

    Publikacja

    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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