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1
Gestion des finances publiques locales pour le développement des ETD : Cas du Secteur des Walendu Pitsi
In: ISSN: 0770-4518 ; EISSN: 1782-1495 ; Recherches Economiques de Louvain - Louvain economic review ; https://hal.archives-ouvertes.fr/hal-03607989 ; Recherches Economiques de Louvain - Louvain economic review, De Boeck Université, 2022 (2022)
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2
La problématique de la constitution d'épargne par les enseignants mécanisés du SECOPE Antenne Kpandroma
In: ISSN: 0761-9871 ; Cahiers de sociologie économique et culturelle ; https://hal.archives-ouvertes.fr/hal-03608004 ; Cahiers de sociologie économique et culturelle, Institut de Sociologie économique et Culturelle - Le Havre, 2022 (2022)
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3
Secondary Structures of Proteins Follow Menzerath–Altmann Law
In: International Journal of Molecular Sciences; Volume 23; Issue 3; Pages: 1569 (2022)
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4
The axis of access: a quantitative ethnography of presidential discourse on the construct of college access in the United States
In: Theses and Dissertations (2022)
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5
Data Analysis on the Basis of Numerals Statistics
Zenkov, A.; Zenkov, E.; Zenkov, M.. - : УрФУ, 2022
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6
Phylogenetic trees: Grammar versus vocabulary
In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 31-50 (2022) (2022)
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7
The effect of Crianza Positiva e-messaging program on adult-child language interactions
In: Behavioral Public Policy ; https://hal.archives-ouvertes.fr/hal-03498848 ; Behavioral Public Policy, 2021 (2021)
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8
Étude des chaînes de référence en français : liens entre modélisation linguistique et analyse quantitative
In: ISSN: 0037-9069 ; EISSN: 1783-1385 ; Bulletin de la Société de Linguistique de Paris ; https://halshs.archives-ouvertes.fr/halshs-03346119 ; Bulletin de la Société de Linguistique de Paris, Peeters Publishers, 2021, CXVI (1), pp.41-75 (2021)
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9
Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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10
Method and Its Undoing: Research Methods, Fall 2020 ...
Conway, Kyle; Ichiba, Maryame; Zhao, Zixuan. - : Université d'Ottawa / University of Ottawa, 2021
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11
Constructional equivalence in the Indonesian translations of ROB and STEAL ...
Rajeg, Gede Primahadi Wijaya. - : Open Science Framework, 2021
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12
paracorp ...
Rajeg, Gede Primahadi Wijaya. - : Open Science Framework, 2021
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13
(an:a)-lyzer: An interactive visualization of Google Books Ngrams with R and Shiny: Exploring a(n) historical increase in onset strength in a(n) huge database ...
Vetter, Fabian. - : Open Science Framework, 2021
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14
The impact of grit and its predictors on face-to-face vs online language learning ...
Paradowski, Michał. - : Open Science Framework, 2021
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15
Discourse- and prominence-driven predictive argument interpretation: the influence of discourse coherence and animacy on the prediction of grammatical functions in Swedish ...
Hörberg, Thomas. - : Open Science Framework, 2021
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16
A Study on Instructional Humor: How Much Humor Is Used in Presentations?
In: Behavioral Sciences; Volume 12; Issue 1; Pages: 7 (2021)
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17
Stylometry and Numerals Usage: Benford’s Law and Beyond
In: Stats; Volume 4; Issue 4; Pages: 1051-1068 (2021)
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18
It’s Not What You Said, It’s How You Said It: An Analysis of Therapist Vocal Features During Psychotherapy
In: Staff Research Publications (2021)
Abstract: Psychotherapy is a conversation, whereby, at its foundation, many interventions are derived from the therapist talking. Research suggests that the voice can convey a variety of emotional and social information, and individuals may change their voice based on the context and content of the conversation (e.g. talking to a baby or delivering difficult news to patients with cancer). As such, therapists may adjust aspects of their voice throughout a therapy session depending on if they are beginning a therapy session and checking in with a client, conducting more therapeutic ‘work’ or ending the session. In this study, we modelled three vocal features—pitch, energy and rate—with linear and quadratic multilevel models to understand how therapists’ vocal features change throughout a therapy session. We hypothesised that all three vocal features would be best fit with a quadratic function—starting high and more congruent with a conversational voice, decreasing during the middle portions of therapy where more therapeutic interventions were being administered, and increasing again at the end of the session. Results indicated a quadratic model for all three vocal features was superior in fitting the data, as compared to a linear model, suggesting that therapists begin and end therapy using a different style of voice than in the middle of a session.
Keyword: emotional expression; linguistics; psychotherapy research; quantitative analysis; vocal acoustics
URL: https://digitalcommons.georgiasouthern.edu/research-staffpubs/1
https://doi.org/10.1002/capr.12489
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19
An overview of corpus linguistics and its application to form-meaning relationship in Indonesian voice-morphological constructions ...
Rajeg, Gede Primahadi Wijaya. - : Zenodo, 2021
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20
An overview of corpus linguistics and its application to form-meaning relationship in Indonesian voice-morphological constructions ...
Rajeg, Gede Primahadi Wijaya. - : Zenodo, 2021
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