Home Catalogue search

eng

Refine your search:

Search in the Catalogues and Directories






	Sort by
Simple Search

Page: 1 2

Hits 1 – 20 of 34

1	Advancing The Ability To Predict Cognitive Decline and Alzheimer’s Disease Based On Genetic Variants Beyond Amyloid-beta and Tau
	Rawat, Naveen
	In: Master's Projects (2021)
	BASE
	Show details

2	Predicting Scalar Inferences From "Or" to "Not Both" Using Neural Sentence Encoders
	Li, Elissa; Schuster, Sebastian; Degen, Judith
	In: Proceedings of the Society for Computation in Linguistics (2021)
	BASE
	Show details

3	Early reading correlates in language impairment (Newbury et al., 2020)
	Jayne Newbury (8958647); Laura M. Justice (5058230); Hui H. Jiang (8958649). - 2020
	BASE
	Show details

4	How linguistic structure influences and helps to predict metaphoric meaning
	Dunn J. - : Walter de Gruyter GmbH, 2019
	BASE
	Show details

5	Predicting literature's early impact with sentiment analysis in Twitter
	Hassan, SU; Aljohani, NR; Idrees, N...
	In: 192 (2019)
	BASE
	Show details

6	Reality Monitoring and Feedback Control of Speech Production Are Related Through Self-Agency.
	Subramaniam, Karuna; Kothare, Hardik; Mizuiri, Danielle. - : eScholarship, University of California, 2018
	BASE
	Show details

7	Can We Predict Reproducible Scholarly Research?
	McDade, Joseph C., 1986--. - : Northern Illinois University, 2018
	BASE
	Show details

8	Towards predicting dialog acts from previous speakers' non-verbal cues ; BIBTEX 2017
	Harte, Naomi. - 2017
	BASE
	Show details

9	РАЗВИТИЕ У КИТАЙСКИХ СТУДЕНТОВ ВЕРБАЛЬНОГО ВЕРОЯТНОСТНОГО ПРОГНОЗИРОВАНИЯ В ОБУЧЕНИИ РКИ
	ЯНЧЕНКО ВЛАДИСЛАВ ДМИТРИЕВИЧ; ЛЮ ЦЯНЬ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Поволжская государственная социально-гуманитарная академия», 2015
	BASE
	Show details

10	An investigation of the role of parental request for self-correction of stuttering in the Lidcombe Program
	Donaghy, Michelle; Harrison, Elisabeth; O'Brian, Sue. - : Taylor & Francis, 2015
	BASE
	Show details

11	Integrating literacy and engineering instruction for young learners
	Wilson-Lopez, Amy; Gregory, Stacie
	In: Teacher Education and Leadership Faculty Publications (2015)
	BASE
	Show details

12	Comparative Stylistic Fanfiction Analysis: Popular and Unpopular Fics across Eleven Fandoms
	Rubin, Victoria L; Girouard, Vanessa
	In: FIMS Publications (2013)
	BASE
	Show details

13	Reading Development and Dyslexia
	Snowling, MJ; Göbel, SM
	In: Symplectic Elements at Oxford ; Scopus (http://www.scopus.com/home.url) (2010)
	BASE
	Show details

14	An international validation study of the EORTC brain cancer module (EORTC QLQ-BN20) for assessing health-related quality of life and symptoms in brain cancer patients.
	Taphoorn Martin, J.B.; Claassens, Lily; Aaronson Neil, K.; Coens, Corneel; Mauer, Murielle; Osoba, David; Stupp, Roger; Mirimanoff Rene, O.; van den Bent Martin, J.; Bottomley, Andrew
	In: European Journal of Cancer, vol. 46, no. 6, pp. 1033-1040 (2010)
	Abstract: Aims: The psychometric properties of the EORTC QLQ-BN20, a brain cancer-specific HRQOL questionnaire, have been previously determined in an English-speaking sample of patients. This study examined the validity and reliability of the questionnaire in a multi-national, multi-lingual study. Methods: QLQ-BN20 data were selected from two completed phase III EORTC/NCIC clinical trials in brain cancer (N=891), including 12 languages. Experimental treatments were surgery followed by radiotherapy (RT) and adjuvant PCV chemotherapy or surgery followed by concomitant RT plus temozolomide (TMZ) chemotherapy and adjuvant TMZ chemotherapy. Standard treatment consisted of surgery and postoperative RT alone. The psychometrics of the QLQ-BN20 were examined by means of multi-trait scaling analyses, reliability estimation, known groups validity testing, and responsiveness analysis. Results: All QLQ-BN20 items correlated more strongly with their own scale (r>0.70) than with other QLQ-BN20 scales. Internal consistency reliability coefficients were high (all alpha0.70). Known-groups comparisons yielded positive results, with the QLQ-BN20 distinguishing between patients with differing levels of performance status and mental functioning. Responsiveness of the questionnaire to changes over time was acceptable. Conclusion: The QLQ-BN20 demonstrates adequate psychometric properties and can be recommended for use in conjunction with the QLQ-C30 in assessing the HRQOL of brain cancer patients in international studies.
	Keyword: Anaplastic Oligodendrogliomas; Brain Cancer; Chemotherapy; Clinical-Trials; European-Organization; Glioblastoma; HRQOL; Oncology; Predicting Survival; Prognostic Value; Psychometric Analysis; Questionnaire; Tumor; Validation
	URL: https://doi.org/10.1016/j.ejca.2010.01.012 https://serval.unil.ch/notice/serval:BIB_F8084ED2D347
	BASE
	Hide details

15	Mining Face-to-Face . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
	Lynn Wu; Ben Waber; Sinan Aral...
	In: http://ebusiness.mit.edu/research/papers/2008.05_Wu_Waber_Aral_Brynjolfsson_Pentland_Mining Face-to-Face Interaction_288.pdf (2008)
	BASE
	Show details

16	Mining Face-to-Face Interaction . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
	Lynn Wu; Ben Waber; Sinan Aral...
	In: http://vismod.media.mit.edu//tech-reports/TR-622.pdf (2008)
	BASE
	Show details

17	Multi-Mode and Evolutionary Networks
	Sharabati, Walid K.. - 2008
	BASE
	Show details

18	An investigation of language and phonological development and the responsiveness of preschool age children to the Lidcombe Program
	Rousseau, I.; Packman, A.; Onslow, M.. - : Elsevier Science Ltd., 2007
	BASE
	Show details

19	Guidelines for statistical analysis of percentage of syllables stuttered data
	Jones, Mark; Onslow, Mark; Packman, Ann. - : American Speech-Language-Hearing Association, 2006
	BASE
	Show details

20	ImpelERO: Modelo híbrido sistema-experto/ red-neuronal para evaluar la erosión en suelos agrícolas. Apéndices
	Rosa, Diego de la. - : CSIC - Centro de Edafología y Biología Aplicada del Cuarto (CEBAC), 2004. : CSIC - Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), 2004
	BASE
	Show details

Page: 1 2

© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern