9 results on '"Anca Vasile"'
Search Results
2. Advancements on Basic Working Principles of Photo-Driven Oxidative Degradation of Organic Substrates over Pristine and Noble Metal-Modified TiO2. Model Case of Phenol Photo Oxidation
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Tanta Spataru, Anca Vasile, Claudiu Fleaca, Valentin S. Teodorescu, Nicolae Spătaru, Florica Papa, C. N. Mihailescu, Crina Anastasescu, Alexandra Sandulescu, Maria Zaharescu, M. Scarisoreanu, Ioan Balint, and Monica Raciulete
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Radical ,02 engineering and technology ,engineering.material ,010402 general chemistry ,Electrochemistry ,Photochemistry ,lcsh:Chemical technology ,01 natural sciences ,Catalysis ,lcsh:Chemistry ,chemistry.chemical_compound ,TiO2 modified with noble metals ,charge recombination ,photocatalytic mineralization ,Phenol ,lcsh:TP1-1185 ,Physical and Theoretical Chemistry ,reactive oxygen species ,Quenching (fluorescence) ,Hydroquinone ,Chemistry ,surface photovoltage ,021001 nanoscience & nanotechnology ,Benzoquinone ,O2 photo reduction ,0104 chemical sciences ,lcsh:QD1-999 ,photocatalytic mild oxidation ,engineering ,Noble metal ,phenol oxidation ,0210 nano-technology - Abstract
The specific roles played by both support and noble metals in light absorption, charge separation, and the formation of ·OH and O2− (ROS) are analyzed for light-triggered oxidation of phenol (Ph) over pristine and over noble metal (Ag, Au, Pt) -loaded TiO2. Experiments show that the supported noble metals act as a light visible absorber, assist the separation of photo-charges and reduction of O2 to O2−. The O2− oxidizes mildly Ph to oxygenated products (hydroquinone, benzoquinone, and 1,2-dihydroxibenzene). In a parallel process, ·OH radicals, yielded by TiO2, mineralize Ph to CO2 by fast reaction sequences. Radical quenching and photo electrochemical measurements (surface photovoltage) confirm independently that the production of ·OH and O2− scale with oxidative conversion of Ph. The selectivity to CO2 and mild oxidation products is the result of the interplay between catalyst activity for ·OH and for O2− production.
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- 2021
3. Insights into the Redox and Structural Properties of CoOx and MnOx: Fundamental Factors Affecting the Catalytic Performance in the Oxidation Process of VOCs
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Veronica Bratan, Anca Vasile, Paul Chesler, and Cristian Hornoiu
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Physical and Theoretical Chemistry ,Catalysis ,General Environmental Science - Abstract
Volatile organic compound (VOC) abatement has become imperative nowadays due to their harmful effect on human health and on the environment. Catalytic oxidation has appeared as an innovative and promising approach, as the pollutants can be totally oxidized at moderate operating temperatures under 500 °C. The most active single oxides in the total oxidation of hydrocarbons have been shown to be manganese and cobalt oxides. The main factors affecting the catalytic performances of several metal-oxide catalysts, including CoOx and MnOx, in relation to the total oxidation of hydrocarbons have been reviewed. The influence of these factors is directly related to the Mars–van Krevelen mechanism, which is known to be applied in the case of the oxidation of VOCs in general and hydrocarbons in particular, using transitional metal oxides as catalysts. The catalytic behaviors of the studied oxides could be closely related to their redox properties, their nonstoichiometric, defective structure, and their lattice oxygen mobility. The control of the structural and textural properties of the studied metal oxides, such as specific surface area and specific morphology, plays an important role in catalytic applications. A fundamental challenge in the development of efficient and low-cost catalysts is to choose the criteria for selecting them. Therefore, this research could be useful for tailoring advanced and high-performance catalysts for the total oxidation of VOCs.
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- 2022
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4. Comparative Catalytic and Photocatalytic Reduction of NO3- by the in Situ Generated Solar H2 over Pt-Cu/TiO2 Catalysts
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Ioan Balint, Veronica Bratan, Anca Vasile, Cornel Munteanu, Mircea Teodorescu, and Florica Papa
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Aqueous solution ,Materials science ,chemistry ,Chemical engineering ,Photocatalysis ,Water splitting ,chemistry.chemical_element ,Selective catalytic reduction ,Platinum ,Photocatalytic water splitting ,Hydrogen production ,Catalysis - Abstract
Studies on the nitrate reduction reaction have shown that the bimetallic catalysts may be more efficient compared to the monometallic ones. To reduce nitrate, it is necessary to activate the precious metal by addition of a promoting second metal. Some studies have pointed out the relevance of the structure and geometry of the metal particles in the final mechanism of nitrate reduction. Well-defined nanoparticles could be used to catalyze structure-sensitive reactions with practical importance (pollution control). Our investigation aimed to make deeper insight into NO3- catalytic reduction and photocatalytic reduction mechanisms. Two types of Pt-Cu supported on TiO2 materials were employed in order to study the nitrate removal from aqueous phase and the ability of obtaining and using the in situ generated solar H2 as reducing agent. The prepared catalysts were characterized and tested in photocatalytic/catalytic reduction of nitrate in aqueous solution in water splitting reaction. A correlation between the catalytic/photocatalytic performances of the supported Pt-Cu catalysts and their associated physicochemical and adsorption properties has been made. The catalysts activity for the nitrate reduction can be directly related to the interactions between platinum and copper. Deposition with Pt nanoparticles was found to contribute to enhance the photocatalytic activity toward H2 production from aqueous solution. Our future research aims at optimizing the photocatalytic system having as future possible applications for hydrogen production using sunlight and water as the hydrogen source.
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- 2020
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5. CO oxidation over Pd supported catalysts —In situ study of the electric and catalytic properties
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Niculae I. Ionescu, Cornel Munteanu, Florica Papa, Anca Vasile, Daniela C. Culita, Cristian Hornoiu, Silviu Preda, Veronica Bratan, and Razvan State
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Materials science ,Process Chemistry and Technology ,Inorganic chemistry ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Redox ,Catalysis ,0104 chemical sciences ,Electrical resistivity and conductivity ,Chemisorption ,Electrical measurements ,Surface dynamics ,0210 nano-technology ,General Environmental Science ,In situ study - Abstract
In this paper, the CO oxidation on Pd/TiO 2 and Pd/SnO 2 /TiO 2 catalysts was studied using a non-conventional tool: AC electrical measurements in operando conditions. The structural and textural properties of the obtained powders have been characterized using BET, XRD, SEM, and CO chemisorption. Their redox properties were tested using the TPR technique. The surface dynamics was studied by electrical conductivity measurements under similar conditions with those encountered in the practical use in catalysis and correlated with their performances in CO oxidation.
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- 2017
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6. Bringing the old writings closer to us: Deep learning and symbolic methods in deciphering old Cyrillic Romanian documents
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Dan Cristea, Nicolae Cleju, Petru Rebeja, Gabriela Haja, Eduard Coman, Anca Vasilescu, Claudiu Marinescu, and Andreea Dascălu
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written cultural heritage ,old romanian documents ,transliteration of cyrillic romanian into latin script ,identification and recognition of graphical signs ,Medicine (General) ,R5-920 ,Science (General) ,Q1-390 - Abstract
The paper addresses the problem of transliteration of scanned copies of old Romanian books written in the Cyrillic script into the Latin script. The motivation of this endeavor and attendees of such a technology are enumerated. Then, a number of peculiarities of these documents, which create difficulties for automatic processing, are exemplified. The proposed technology is presented in the form of a pipeline of modules, each applying AI or symbolic methods. Then, the component parts are discussed individually, and solutions are presented. The research is presented as work in progress, which leaves space for further enhancements. The data supporting training and evaluation of the modules is rooted in the former DeLORo project.
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- 2023
7. Electrical and catalytic properties of cerium–tin mixed oxides in CO depollution reaction
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Niculae I. Ionescu, Tatiana Yuzhakova, Cristian Hornoiu, Anca Vasile, Monica Caldararu, Veronica Bratan, and Ákos Rédey
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Materials science ,Process Chemistry and Technology ,Inorganic chemistry ,chemistry.chemical_element ,Atmospheric temperature range ,Tin oxide ,Oxygen ,Catalysis ,Cerium ,chemistry.chemical_compound ,chemistry ,Catalytic oxidation ,Tin ,General Environmental Science ,Carbon monoxide - Abstract
AC electrical conductivity of CeO2 catalyst samples containing 5, 10 and 20 wt% SnO2 prepared by co-precipitation and of SnO2 and CeO2 pure oxides (prepared under the same conditions) was measured in operando conditions. The measurements were carried out at a frequency of 1592 Hz in the temperature range from room temperature up to 400 °C, using successively programmed heating–cooling cycles under various atmospheres. The catalyst samples were tested in the catalytic oxidation of CO in presence and in absence of oxygen in the same temperature range (30–400 °C). An improved deep oxidation of carbon monoxide has been found with these co-precipitated mixed oxides compared to pure components, leading to a better catalytic activity at lower temperature. The band gap energies were estimated based on the UV–Vis spectra and correlated with XRD results and AC electrical conductivity data. These results show the influence of the tin oxide on the electrical properties and oxygen mobility of the catalytic systems studied and on the surface behaviour of ceria.
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- 2013
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8. Medical emergency department triage data processing using a machine-learning solution
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Andreea Vântu, Anca Vasilescu, and Alexandra Băicoianu
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Emergency medicine ,Triage ,Clinical decision support ,Patient medical record ,Medical data processing ,Machine learning ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Over the years, artificial intelligence has demonstrated its ability to overcome many challenges in our day-to-day life. The evolution of it inquired more studies about Machine Learning possible solutions for different domains, including health care. The increasing demand for artificial intelligence solutions has brought accessibility to loads of data, including clinical data. The availability of medical records facilitates new opportunities to explore Machine Learning models and their abilities to process a significant amount of data and to identify patterns with the purpose of solving a medical problem. Understanding the applicability of artificial intelligence on this type of data has to be a compelling aim for emergency medicine clinicians. This paper focuses on the general clinical problem of the complex correlation between medical records and later diagnosis and, especially, on the process of emergency department triage which uses the Emergency Severity Index (ESI) as triage protocol. This study presents a comparison between three different Machine Learning models, such as Logistic Regression, Random Forest Tree and NN-Sequentail, with the purpose of classifying patients with an emergency code. We conducted four experiments because of imbalanced data. A web-based application was developed to improve the triage process after our theoretical and exploratory results. Overall, in all experiments, the NN-Sequential model had better results, having, in the first experiment, a ROC-AUC score for each ESI emergency code of: 0.59%, 0.76%, 0.71%, 0.78% 0.64%. After applying methods to balance the data, the model yielded a ROC-AUC score for each emergency code of 0.72%, 0.75%, 0.69%, 0.74%, 0.78%. In the last experiment consisting of a three-class classification problem, the NN-Sequential and Random Forest Tree models had similar metric outcomes, and the NN-Sequential algorithm had a ROC-AUC score for each emergency code of: 0.76%, 0.72%, 0.84%. Without any doubt, our research results presented in this paper endorse this tremendous curiosity in Machine Learning applications to enrich aspects of emergency medical care by applying specific methods for processing both medical data and medical records.
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- 2023
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9. Relevant Cybersecurity Aspects of IoT Microservices Architectures Deployed over Next-Generation Mobile Networks
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Constantin Lucian Aldea, Razvan Bocu, and Anca Vasilescu
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cybersecurity ,IoT ,microservices architecture ,5G network ,energy monitoring ,Chemical technology ,TP1-1185 - Abstract
The design and implementation of secure IoT platforms and software solutions represent both a required functional feature and a performance acceptance factor nowadays. This paper describes relevant cybersecurity problems considered during the proposed microservices architecture development. Service composition mechanisms and their security are affected by the underlying hardware components and networks. The overall speedup of the platforms, which are implemented using the new 5G networks, and the capabilities of new performant IoT devices may be wasted by an inadequate combination of authentication services and security mechanisms, by the architectural misplacing of the encryption services, or by the inappropriate subsystems scaling. Considering the emerging microservices platforms, the Spring Boot alternative is used to implement data generation services, IoT sensor reading services, IoT actuators control services, and authentication services, and ultimately assemble them into a secure microservices architecture. Furthermore, considering the designed architecture, relevant security aspects related to the medical and energy domains are analyzed and discussed. Based on the proposed architectural concept, it is shown that well-designed and orchestrated architectures that consider the proper security aspects and their functional influence can lead to stable and secure implementations of the end user’s software platforms.
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- 2022
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