18 results
Search Results
2. Reviews
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U. Weinreich, Francis J. Whitfield, S. Ullmann, André Martinet, A. Martinet, Fritz Mezger, Douglas Tatlob, G. Bonfante, Frederick Jungemann, Henry R. Kahane, Leo Spitzer, Robert A. Fowkes, Elliott V. K. Dobbie, Gladys A. Reichard, Herbert H. Paper, and André G. Haudricourt
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Linguistics and Language ,Language and Linguistics - Published
- 1953
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3. Roland G. Kent. Old Persian. Grammar, Texts, Lexicon
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Herbert H. Paper
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Linguistics and Language ,Archeology ,History ,Anthropology ,Language and Linguistics - Published
- 1950
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4. The Symbol [heart]
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Herbert H. Paper
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Linguistics and Language ,Symbol ,Communication ,media_common.quotation_subject ,Arithmetic ,Language and Linguistics ,media_common ,Mathematics - Published
- 1985
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5. Jewish Languages: Theme and Variations
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Yakov Malkiel and Herbert H. Paper
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Linguistics and Language ,Language and Linguistics - Published
- 1979
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6. Entzifferung verschollener Schriften und Sprachen
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Herbert H. Paper and Johannes Friedrich
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Linguistics and Language ,Language and Linguistics - Published
- 1955
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7. Old Akkadian Inscriptions in Chicago Natural History Museum: Texts of Legal and Business Interest
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Herbert H. Paper and Ignace J. Gelb
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Linguistics and Language ,Language and Linguistics - Published
- 1957
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8. La Diffusion des langues anciennes du Proche-Orient: Leurs Relations avec le basque, le dravidien et les parlers indo-europeens primitifs
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Herbert H. Paper and N. Lahovary
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Linguistics and Language ,media_common.quotation_subject ,Art ,Language and Linguistics ,media_common - Published
- 1958
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9. A Short Grammatical Outline of Pashto
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Herbert Penzl, D. A. Shafeev, and Herbert H. Paper
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Linguistics and Language ,Grammar ,Computer science ,Arabic ,business.industry ,media_common.quotation_subject ,Phonology ,computer.software_genre ,Language and Linguistics ,language.human_language ,Linguistics ,Romanization ,language ,Pashto ,Artificial intelligence ,business ,computer ,Natural language processing ,media_common ,Language research - Published
- 1965
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10. Toward a General Calculus of Phonemic Distribution
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Herbert H. Paper and Frank Harary
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Linguistics and Language ,Distribution (number theory) ,Computer science ,medicine ,Calculus ,medicine.disease ,Language and Linguistics ,Calculus (medicine) - Published
- 1957
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11. A Short Sketch of the Grammar of Persian
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Steven P. Hill, Mohammad Ali Jazayery, V. S. Rastorgueva, and Herbert H. Paper
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Cultural Studies ,Linguistics and Language ,Grammar ,media_common.quotation_subject ,Religious studies ,Art ,Language and Linguistics ,Linguistics ,language.human_language ,Sketch ,Philosophy ,language ,media_common ,Persian - Published
- 1965
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12. The Phonology and Morphology of Royal Achaemenid Elamite
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Herbert H. Paper and E. A. Speiser
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Linguistics and Language ,History ,Elamite language ,language ,Morphology (biology) ,Phonology ,Language and Linguistics ,language.human_language ,Linguistics - Published
- 1956
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13. An Elamite Etymology
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Herbert H. Paper
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Linguistics and Language ,History ,Etymology ,Elamite language ,language ,Ancient history ,Language and Linguistics ,language.human_language - Published
- 1953
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14. How much does prosody help word segmentation? A simulation study on infant-directed speech
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Emmanuel Dupoux, Reiko Mazuka, Alejandrina Cristia, Bogdan Ludusan, RIKEN Center for Brain Science [Wako] (RIKEN CBS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Department of Psychology and Neuroscience, Duke University [Durham], Laboratoire de sciences cognitives et psycholinguistique (LSCP), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Apprentissage machine et développement cognitif (CoML), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), École des hautes études en sciences sociales (EHESS), The research reported in this paper was partly funded by JSPS Grant-in-Aid for Scientific Research (16H06319, 20H05617) and MEXT Grant-in-aid on Innovative Areas #4903 (Co-creative Language Evolution), 17H06382 to RM. It was also supported by the European Research Council (ERC-2011-AdG-295810 BOOTPHON), the Agence Nationale pour la Recherche (ANR-17-CE28-0007 LangAge, ANR-16-DATA-0004 ACLEW, ANR-14-CE30-0003 MechELex, ANR-17-EURE-0017 Frontcog, ANR-10-IDEX-0001-02 PSL*, ANR-19-P3IA-0001 PRAIRIE 3IA Institute). ED is further grateful to the CIFAR (Learning in Machines and Brain), BL to the Canon Foundation in Europe, and AC to the JS McDonnell Foundation., ANR-17-CE28-0007,LangAge,Différences dans l'apprenabilité du langage selon l'âge(2017), ANR-16-DATA-0004,ACLEW,Analyzing Child Language Experiences Around the World(2016), ANR-14-CE30-0003,MechELex,Méchanismes d'acquisition lexicale précoce(2014), ANR-17-EURE-0017,FrontCog,Frontières en cognition(2017), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), European Project: 295810,EC:FP7:ERC,ERC-2011-ADG_20110406,BOOTPHON(2012), École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris)
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Linguistics and Language ,Cognitive Neuroscience ,Speech recognition ,Experimental and Cognitive Psychology ,Prosody ,Infant-directed speech ,050105 experimental psychology ,Language and Linguistics ,Speech Acoustics ,Task (project management) ,Infant language acquisition ,Developmental and Educational Psychology ,Humans ,Learning ,Speech ,0501 psychology and cognitive sciences ,Segmentation ,Computer Simulation ,ComputingMilieux_MISCELLANEOUS ,Computational model ,05 social sciences ,Text segmentation ,Infant ,acquisition ,[SCCO.LING]Cognitive science/Linguistics ,Word segmentation ,[SCCO.PSYC]Cognitive science/Psychology ,Speech Perception ,Infant language ,Cues ,Heuristics ,Psychology ,Word (computer architecture) ,050104 developmental & child psychology - Abstract
International audience; Infants come to learn several hundreds of word forms by two years of age, and it is possible this involves carving these forms out from continuous speech. It has been proposed that the task is facilitated by the presence of prosodic boundaries. We revisit this claim by running computational models of word segmentation, with and without prosodic information, on a corpus of infant-directed speech. We use five cognitively-based algorithms, which vary in whether they employ a sub-lexical or a lexical segmentation strategy and whether they are simple heuristics or embody an ideal learner. Results show that providing expert-annotated prosodic breaks does not uniformly help all segmentation models. The sub-lexical algorithms, which perform more poorly, benefit most, while the lexical ones show a very small gain. Moreover, when prosodic information is derived automatically from the acoustic cues infants are known to be sensitive to, errors in the detection of the boundaries lead to smaller positive effects, and even negative ones for some algorithms. This shows that even though infants could potentially use prosodic breaks, it does not necessarily follow that they should incorporate prosody into their segmentation strategies, when confronted with realistic signals.
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- 2022
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15. Exploring the Relationship Between Translation Students’ Personality Characteristics and Their Preference for Using Translation Strategies
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Mohsen Mobaraki, Parisa Imani, Hossein Navidinia, and the paper has received no fundings from any organizations
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Linguistics and Language ,Process (engineering) ,media_common.quotation_subject ,Neuroticism ,Language and Linguistics ,Preference ,Personality traits ,translation strategies ,translation students ,Openness to experience ,Translation studies ,Personality ,Big Five personality traits ,Adaptation (computer science) ,Psychology ,Cognitive psychology ,media_common - Abstract
For years, research in translation studies has focused on examining linguistic and sociolinguistic features of the source and target texts, and the active role of a translator as an important agent in the process of producing a target text has been underestimated. However, recently the importance of the influential role of translators and their personal characteristics have been highlighted. Considering this important development, the aim of this study was to examine the possible relationship between translation students’ personality characteristics and their preference for using translation strategies based on two translation strategy models proposed by Vinay and Darblenet (1995) and Venuti (1995). For so doing, 100 translation students were asked to answer the NEO FFM Personality scale and choose one of the suggested translations for each of the 69 sentences designed based on the translation models. The data were analyzed using SPSS (version 22) and Smart PLS (3.0) software. The findings indicated that some of the participants’ personality traits like neuroticism and openness to experience had a significant relationship with the use of some translation strategies such as adaptation, modulation and borrowing. The findings were discussed and the implications were made.
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- 2021
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16. Computing AES related-key differential characteristics with constraint programming
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Christine Solnon, Marine Minier, David Gerault, Pascal Lafourcade, Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Cryptology, arithmetic : algebraic methods for better algorithms (CARAMBA), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Geometry Processing and Constrained Optimization (M2DisCo), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), This research was conducted with the support of the FEDER program of 2014-2020, the region council of Auvergne-Rhône-Alpes, the GDR-IA, and the ANR (DeCrypt ANR-18-CE39-0007). We thank the reviewers for their comments that helped us improving the paper, Jérémie Detrey for implementing the C code that checks the completeness of the sets xorEq_l, Charles Prud’homme and Jean-Guillaume Fages for their technical support on the use of Choco, and Neng-Fa Zhou for his technical support on the use of Picat., ANR-16-IDEX-0001,CAP 20-25,CAP 20-25(2016), ANR-18-CE39-0007,DeCrypt,Langage Déclaratif pour la cryptographie symétrique(2018), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
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Linguistics and Language ,Differential cryptanalysis ,Theoretical computer science ,Optimization problem ,Computer science ,02 engineering and technology ,Encryption ,Language and Linguistics ,law.invention ,Constraint Programming ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] ,[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] ,Artificial Intelligence ,law ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,Constraint programming ,Block cipher ,AES ,business.industry ,Advanced Encryption Standard ,Key (cryptography) ,020201 artificial intelligence & image processing ,Cryptanalysis ,business - Abstract
International audience; Cryptanalysis aims at testing the properties of encryption processes, and this usually implies solving hard optimization problems. In this paper, we focus on related-key differential attacks for the Advanced Encryption Standard (AES), which is the encryption standard for block ciphers. To mount these attacks, cryptanalysts need to solve the optimal related-key differential characteristic problem. Dedicated approaches do not scale well for this problem, and need weeks to solve its hardest instances. In this paper, we improve existing Constraint Programming (CP) approaches for computing optimal related-key differential characteristics: we add new constraints that detect inconsistencies sooner, and we introduce a new decomposition of the problem in two steps. These improvements allow us to compute all optimal related-key differential characteristics for AES-128, AES-192 and AES-256 in a few hours.
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- 2020
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17. Don Quijote en el jazz francés
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Hans Christian Hagedorn, The intense reception that Don Quixote has had in French music is a well-known, well-documented and well-researched phenomenon. However, criticism has focused primarily on classical music and opera, and few studies have been devoted to pop music, rock or folk, and none has so far dealt with the traces that the Cervantine novel has left in French jazz. In this paper we document, analyse and compare twenty examples of French jazz compositions that are inspired by the masterpiece of Cervantes, taking into account aspects such as its reception in jazz from other countries, or the interesting presence of the myth of Don Quixote in French jazz of the 21st century.
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Linguistics and Language ,Don Quijote ,Jazz francés ,Literature and Literary Theory ,Influencia ,Recepción musical ,Language and Linguistics ,Música - Abstract
espanolLa intensa recepcion que el Quijote ha tenido en la musica francesa es un fenomeno bien conocido, documentado e investigado. Sin embargo, la critica se ha centrado sobre todo en la musica clasica y la opera; pocos estudios se han dedicado a la musica pop, el rock y el folk, y ninguno se ha ocupado hasta ahora de las huellas que la novela cervantina ha dejado en el jazz frances. En el presente articulo se documentan, se analizan y se comparan veinte ejemplos de composiciones del jazz galo que estan inspiradas en la obra maestra de Cervantes, teniendo en cuenta aspectos como su recepcion en el jazz de otros paises, o la interesante presencia del mito de Don Quijote en el jazz frances del siglo XXI. EnglishThe intense reception that Don Quixote has had in French music is a well-known, well-documented and well-researched phenomenon. However, criticism has focused primarily on classical music and opera; few studies have been devoted to pop music, rock or folk, and none has so far dealt with the traces that the Cervantine novel has left in French jazz. In this paper we document, analyse and compare twenty examples of French jazz compositions that are inspired by the masterpiece of Cervantes, taking into account aspects such as its reception in jazz from other countries, or the interesting presence of the myth of Don Quixote in French jazz of the 21st century. francaisL’intense accueil que Don Quichotte a recu dans la musique francaise est un phenomene bien connu, documente et etudie. Cependant, la critique s’est concentree principalement sur la musique classique et l’opera; peu d’etudes ont ete consacrees a la musique pop, au rock et au folk, et jusqu’a present aucune n’a traite des traces que le roman cervantin a laissees dans le jazz francais. Dans cet article, nous documentons, analysons et comparons vingt exemples de compositions de jazz francais inspirees du chef-d’œuvre de Cervantes, en prenant en compte des aspects tels que leur reception dans le jazz d’autres pays, ou la presence interessante du mythe de Don Quichotte dans le jazz francais du 21e siecle.
- Published
- 2020
18. The role of linguistic and environmental factors on grammatical development in French children with cochlear implants
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Ignacio Moreno-Torres, M.-T. Le Normand, Laboratoire de Psychopathologie et Processus de Santé (LPPS - EA 4057), Université Paris Descartes - Paris 5 (UPD5), Department of Spanish Philology II and Literary Theory, Universidad de Málaga [Málaga], This paper has been supported by a Grant from the French Ministery of Social Affairs and from the Regional Government of Andalucia (Proyecto de Excelencia P10-HUM-05808)., Universidad de Málaga [Málaga] = University of Málaga [Málaga], and Le Normand, Marie-Thérèse
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Grammar ,Linguistics and Language ,Child language ,Language delay ,media_common.quotation_subject ,Prosody ,Lexicon ,Language acquisition ,Language and Linguistics ,Linguistics ,Language development ,Maturation ,Developmental linguistics ,Prelingual deafness ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Socio-cultural level of the family ,[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Cochlear implant ,Psychology ,media_common - Abstract
International audience; This study investigates grammatical development in French children with prelingual deafness after two to four years of cochlear implant (CI) use. We analyze to what extent lexical, prosodic and environmental factors play a role in the acquisition of grammar. Transcriptions of spontaneous language in thirty-four CI users (17 boys, 17 girls) were analyzed and compared to those of typically developing children (TD) matched on robust auditory experience in similar standardized situations. The interactions between language components (i.e., lexicon, prosody and grammar) were found to be similar to the interaction observed in typical children. The rate of grammatical development was significantly slow and strongly associated with environmental factors (e.g., socio-cultural level of the family). This suggests that late acquisition has no major consequences on the developmental patterns but that environmental factors play an important role in smoothing the path to adult language. Such results are compatible with a socio-cognitive view of language development, according to which language acquisition is a gradual process reflecting interactions between maturation and social experience.
- Published
- 2014
- Full Text
- View/download PDF
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