Articole din publicaţii internaţionale: Recent submissions

  • Peierls Structural Transition in Q1D Crystals of TTF-TCNQ Type for Different Values of Carrier Concentration 
    ANDRONIC, Silvia; CASIAN, Anatolie; DUSCIAC, Viorel (Elservier, 2015)
    The Peierls structural transition is studied in quasi-one-dimensional (Q1D) organic crystals of the tetrathiofulvalene-tetracyanoquinodimethane (TTF-TCNQ) type in a more complete 2D physical model. Unlike the previous ...
  • Nanostructured TTT(TCNQ)2 Organic Crystals as Promising Thermoelectric n-Type Materials: 3D Modeling 
    SANDULEAC, Ionel; CASIAN, Anatolie (Springer Nature Switzerland, 2016)
    The thermoelectric properties of quasi-one-dimensional TTT(TCNQ)2 organic crystals have been investigated to assess the prospect of using this type of compound as an n-type thermoelectric material. A three-dimensional (3D) ...
  • Low-Dimensional Organic Crystal Tetrathiotetracene–Iodide as Thermoelectric Material: Reality and Prospects 
    CASIAN, Anatolie; STOCKHOLM, John G.; DUSCIAC, Viorel; NICIC, Veaceslav (American Scientific Publishers, 2009)
    It is explained the strong dependence of electrical conductivity and very weak dependence of thermopower on crystal purity observed experimentally in ordinary quasi-one-dimensional organic crystals of tetrathiotetracene–iodide, ...
  • Infrared Absorption by Free Carriers in Quasi-One-Dimensional Organic Crystals of Tetrathiotetracene–Iodide 
    CASIAN, Anatolie; DUSCIAC, Viorel; NICIC, Veaceslav (American Scientific Publishers, 2011)
    The coefficient of long wave infrared (IR) absorption has been calculated at room temperature in quasi-one-dimensional organic crystals of TTT2I3 type (TTT is the tetrathiotetracene) as a function of radiation frequency ν ...
  • Effect of Interchain Interaction on Electrical Conductivity in Quasi-One-Dimensional Organic Crystals of Tetrathiotetracene-Iodide 
    CASIAN, Anatolie; SANDULEAC, Ion (American Scientific Publishers, 2012)
    Earlier it was predicted that quasi-one-dimensional organic crystals of tetrathiotetracene iodide (TTT2I3) are very prospect materials for thermoelectric applications. But the study of charge transport was made on the base ...
  • Hybrid nanostructures superconductor-ferromagnet for superconducting spintronics 
    SIDORENKO, A. S.; MORARI, R. A.; BOIAN, V.; PREPELITSA, A. A.; ANTROPOV, E. I.; SAVVA, Yu. B.; FEDOTOV, A. Yu.; SEVRYUKHINA, O. Yu.; VAKHRUSHEV, A. V. (IOP Publishing, 2021)
    The work is devoted to the study of the processes of formation of multilayer nanostructures, their vacuum deposition, and the manufacture of a novel functional element of spintronics - superconducting spin valve, which is ...
  • What Sentiments Can Be Found in Medical Forums? 
    SOKOLOVA, Marina; BOBICEV, Victoria (RANLP, 2013)
    In this work we present sentiment analysis of messages posted on a medical forum. We categorize posts, written in English, into five categories: encouragement, gratitude, confusion, facts, and facts + sentiments. Our study ...
  • What Goes Around Comes Around: Learning Sentiments in Online Medical Forums 
    BOBICEV, Victoria; SOKOLOVA, Marina; OAKES, Michael (Springer Nature Switzerland, 2015)
    It has been shown that online health-related discussions significantly influence the attitudes and behavioral intentions of the discussion participants. Although empirical evidence strongly supports the importance of ...
  • Using PPM for Health Related Text Detection 
    BOBICEV, Victoria; LAZU, Victoria; ISTRATI, Daniela (Association for Computational Linguistics, 2018)
    This paper describes the participation of the LILU team in SMM4H challenge on social media mining for health related events description such as drug intakes or vaccinations.
  • Thumbs Up and Down: Sentiment Analysis of Medical Online Forums 
    BOBICEV, Victoria; SOKOLOVA, Marina (Association for Computational Linguistics, 2018)
    In the current study, we apply multi-class and multi-label sentence classification to sentiment analysis of online medical forums. We aim to identify major health issues discussed in online social media and the types of ...
  • Syntactic Semantic Correspondence in Dependency Grammar 
    MĂRĂNDUC, Cătălina; MITITELU, Cătălin; BOBICEV, Victoria (International Workshop on Treebanks and Linguistic Theories, 2017)
    This paper describes the semantic format of the UAIC Ro-Dia Dependency Treebank, based on the previous classical syntactic annotation. The discussed format exploits all the semantic information annotated in the morphological ...
  • Sentiments and Opinions Annotation in User-generated Texts 
    BOBICEV, Victoria (Institutul de Matematică şi Informatică al AŞM, 2011)
    In this work, we analyze sentiments and opinions expressed in user-written Web messages. The messages discuss health related topics: medications, treatment, illness and cure, etc. Recognition of sentiments and opinions is ...
  • Sentiment and Factual Transitions in Online Medical Forums 
    BOBICEV, Victoria; SOKOLOVA, Marina; OAKES, Michael (Springer Nature Switzerland, 2015)
    This work studies sentiment and factual transitions on an online medical forum where users correspond in English. We work with discussions dedicated to reproductive technologies, an emotionally-charged issue. In several ...
  • Sentiment analysis in the Ukrainian and Russian news 
    BOBICHEV, Victoria; KANISHCHEVA, Olga; CHEREDNICHENKO, Olga (IEEE, 2017)
    In this article, we explore the task of sentiment analysis for Ukrainian and Russian news, analyze different approaches and linguistics resources for sentiment analysis. We developed a corpus of Ukrainian and Russian news ...
  • Romanian associative dictionary 
    BOBICEV, Victoria; MAXIM, Victoria (Faculty of Computer Science "Alexandru Ioan Cuza" University of Iași, 2012)
    The paper reports about an experiment of creation and development of an associative dictionary for the Romanian language. It outlines the first phase of the experiment when word associations were collected using questionnaire ...
  • Recognition of Sentiment Sequences in Online Discussions 
    BOBICEV, Victoria; SOKOLOVA, Marina; OAKES, Michael (Association for Computational Linguistics and Dublin City University, 2014)
    Currently 19%-28% of Internet users participate in online health discussions. In this work, we study sentiments expressed on online medical forums. As well as considering the predominant sentiments expressed in individual ...
  • Particularităţi specifice folclorului din Republica Moldova comparativ cu cel din România. Studiu pe un corpus adnotat sub formă de arbori sintactici 
    MĂRĂNDUC, Cătălina; BOBICEV, Victoria (Editura Academiei Române, 2019)
    We have created a subcorpus of the treebank in dependency grammar of the Faculty of Computer Science, Al. I. Cuza University, containing folklore collected from the Republic of Moldova, annotated there by the students of ...
  • Parsing temporal and spatial information 
    MĂRĂNDUC, Cătălina; BOBICEV, Victoria; PEREZ, Cenel Augusto (Romanian Academy, Bucharest, 2020)
    In this paper we present a dependency treebank morphologically and syntactically annotated in a specific scheme. We managed to increase the accuracy of the POS-tagger and the syntactic parser used, which led to the increase ...
  • Parsing Romanian Texts 
    MǍRǍNDUC, Cǎtǎlina; BOBICEV, Victoria; UNTILOV, Roman (IEEE, 2020)
    The paper describes the experiments of automatic parsing on a Romanian corpus that contains various types of Romanian texts. The corpus has morphological and syntactic annotations using the dependency grammar model. We ...
  • No Sentiment is an Island 
    BOBICEV, Victoria; SOKOLOVA, Marina (Springer Nature Switzerland, 2015)
    In this study we propose a new method to classify sentiments in messages posted on online forums. Traditionally, sentiment classification relies on analysis of emotionally-charged words and discourse units found in the ...

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