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61
Music and Medicine: applications in Neurology, Neuropsychiatry and Speech Therapy
Ghizlane Bendriss (9025832); Rula El Barghouthi (9025835). - 2020
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62
LANGSTON HUGHES’S STYLE IN HIS STORY «ON THE ROAD»
In: Scientific Bulletin of Uzhhorod National University. Series Philology; Том 2, № 44 (2020): ; 439-445 ; Науковий вісник Ужгородського університету. Серія Філологія; Том 2, № 44 (2020): Науковий вісник Ужгородського університету. Серія Філологія.; 439-445 ; 2663-6840 (2020)
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63
Effect of maternal depression on infant-directed speech to prelinguistic infants : implications for language development
Lam-Cassettari, Christa (R17152); Kohlhoff, Jane. - : U.S., Public Library of Science, 2020
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64
Maternal depression affects infants' lexical processing abilities in the second year of life
Brookman, Ruth (R19124); Kalashnikova, Marina (R17600); Conti, Janet E. (R18118). - : Switzerland, MDPI, 2020
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65
Evaluating K-12 Pre-Service Educators' Understanding of Internalizing Behaviors
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66
Measurement invariance of assessments of depression (PHQ-9) and anxiety (GAD-7) across sex, strata and linguistic backgrounds in a European-wide sample of patients after Traumatic Brain Injury
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67
Using the inventory of problems–29 (IOP-29) with the Test of Memory Malingering (TOMM) in symptom validity assessment: A study with a Portuguese sample of experimental feigners
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68
A narrative review of studies addressing the clinical effectiveness of perinatal depression screening programs
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69
Breathe easy, think clearly: the relationships between maternal asthma, maternal mental health and infant development
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70
Neural signatures of treatment-induced benefits in apathy and depression amongst persons with aphasia
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71
Preliminary Investigation of an Aphasia-Friendly Version of the Patient Health Questionnaire – 8 (PHQ-8) Compared to other Patient and Proxy Reported Outcome Measures of Depression
Walter, Kaylee Marie. - : University of Montana, 2020
In: Graduate Student Theses, Dissertations, & Professional Papers (2020)
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72
Early Parenting Predicts Cognitive Risk for Depression in Children
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73
Usos problemáticos de Internet y depresión en adolescentes: Meta-análisis
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 63, 2020, pags. 109-120 (2020)
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74
Tell Me What You Need: An Examination of Dialectical Tensions Within Romantic Relationships with Depressed Partners
In: Masters Theses & Specialist Projects (2020)
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75
Chronic pain and depression as factors associated with temporomandibular dysfunction in older adults with Parkinson's disease
In: Revista CEFAC, Vol 22, Iss 4 (2020) (2020)
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76
An Unquiet Pedagogy for Unquiet Students: Reducing Anxiety and Depression with Critical Pedagogy
In: Honors Program Theses and Projects (2019)
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77
Detecting Depressed Users in Online Forums
In: Computer Science Faculty Publications and Presentations (2019)
Abstract: Depression is the most common mental illness in the U.S., with 6.7% of all adults who have experienced a major depressive episode. Unfortunately, depression extends to teens and young users as well, and researchers observed an increasing rate in the recent years (from 8.7% in 2005 to 11.3% in 2014 in adolescents and from 8.8% to 9.6% in young adults), especially among girls and women. People themselves are a barrier to fight this disease as they tend to hide their symptoms and do not receive treatments. However, protected by anonymity, they share their sentiments on the Web, looking for help. In this paper, we address the problem of detecting depressed users in online forums. We analyze user behavior in the ReachOut.com online forum, a platform providing a supportive environment for young people to discuss their everyday issues, including depression. We examine the linguistic style of user posts in combination with network-based features modeling how users connect in the forum. Our results show that network features are strong predictors of depressed users and, by combining them with user post linguistic features, we can achieve an average precision of 0.78 (vs. 0.47 of a random classifier and 0.71 of linguistic features only) and perform better than related work (F1-measure of 0.63 vs. 0.50).
Keyword: Computer Sciences; depression; linguistic analysis; online forums; social network analysis
URL: https://scholarworks.boisestate.edu/cs_facpubs/222
https://doi.org/10.1145/3341161.3343511
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78
Modeling the Longitudinal Effects of Insight on Depression, Quality of Life and Suicidality in Schizophrenia Spectrum Disorders: Results from the FACE-SZ Cohort
In: ISSN: 2077-0383 ; Journal of Clinical Medicine ; https://hal-amu.archives-ouvertes.fr/hal-02473655 ; Journal of Clinical Medicine, MDPI, 2019, 8 (8), pp.1196. ⟨10.3390/jcm8081196⟩ (2019)
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79
Adapting culturally appropriate mental health screening tools for use among conflict-affected and other vulnerable adolescents in Nigeria.
Kaiser, BN; Ticao, C; Anoje, C. - : eScholarship, University of California, 2019
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80
Adapting culturally appropriate mental health screening tools for use among conflict-affected and other vulnerable adolescents in Nigeria.
Kaiser, BN; Ticao, C; Anoje, C. - : eScholarship, University of California, 2019
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