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1
Large Word Squares in Latin
In: Word Ways (2020)
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2
Magic Square Magic
In: Word Ways (2020)
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3
Magic Squares Revisited
In: Word Ways (2020)
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4
"Perfect" Magic Squares
In: Word Ways (2020)
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5
Some New Magic With "Most-Perfect" Magic Squares
In: Word Ways (2020)
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6
A Model of Community College Students’ Self-Regulated Language Learning
In: Dissertations - ALL (2020)
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7
Anna Square
In: Word Ways (2019)
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8
Fiscalised Ten-Square Revisited
In: Word Ways (2019)
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9
5 x 5 Word Squares
In: Word Ways (2019)
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10
The Disko Magic Square
In: Word Ways (2019)
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11
Kandoolu Kitaaboolu I: Collection of Bilingual Texts I
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12
Repetition Detection in a Dynamic String
Amir, Amihood; Boneh, Itai; Charalampopoulos, Panagiotis. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : LIPIcs - Leibniz International Proceedings in Informatics. 27th Annual European Symposium on Algorithms (ESA 2019), 2019
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13
The Environment and Child Development: A Multivariate Approach ...
Johnson, Amy. - : Apollo - University of Cambridge Repository, 2019
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14
Forensic Speaker Verification Using Ordinary Least Squares
In: Sensors ; Volume 19 ; Issue 20 (2019)
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15
The Environment and Child Development: A Multivariate Approach
Johnson, Amy. - : University of Cambridge, 2019. : MRC Cognition and Brain Sciences Unit II, 2019. : Hughes Hall, 2019
Abstract: The environment that a child grows up in has a profound effect on their child development. For example, key outcomes such as academic ability or behaviour, cognitive ability and the neurobiology of the brain have been found to be associated to a child’s environment. However, the factors that make up a child’s environment are highly complex and yet the majority of research treats SES as a single number. In addition, the environment is related to several aspects of a child’s development, yet there is very little research considering how these multiple levels of development relate to each other and interact. This thesis builds on the current literature by investigating how multiple aspects of a child’s environment combine to create an environmental profile that is associated with positive child development. We endeavour to address three questions: 1) Which environmental factors most strongly relate to a child’s academic ability, behaviour, cognitive ability and neural development? 2) Does the wider environment mediate the relationship between standard measures of SES and child development? 3) How might the environment impact academic and behaviour outcomes? In particular, is this relationship mediated by a child’s cognition or the structural and functional connectivity of their brain? 7-11 year-old children (N=97) and their caregivers took part in this study. Several environmental domains and child behaviour were assessed through caregiver and child questionnaires. Academic and cognitive ability were measured using behavioural assessments. Resting state functional connectivity was measured using a magnetoencephalography (MEG) scan and structural connectivity was measured in an optional MRI scan on a separate visit (N=87). Partial Least Squares (PLS) methods identified significant relationships between the environment and child development. Multiple environmental domains were found to be reliably related to each aspect of child development. Furthermore, the wider environmental domains mediated the association between SES measures and each aspect of child development. Finally, cognition and the structural connectivity of a child’s brain mediated the association between the environment and academic outcomes. This was not found for the behavioural outcomes. This thesis provides key advances towards addressing the considerable methodological challenge presented in the investigation of the complex relationships between a child’s environment and multiple aspects of their development. We believe that this work will complement the available research to date and provide important detail to enable practitioners and policymakers to better support children at risk from disadvantaged environments. ; Funded by the Medical Research Council
Keyword: Academic; Behaviour; BRIEF; Child Development; Cognition; Cognitive; Connectome; Diffusion Tensor Imaging; Fluid Intelligence; Functional Connectome; Magnetic Resonance Imaging; Magnetoencephalography; MEG; MRI; Multiple Imputation; Neuroscience; Partial Least Squares; Phonological; PLS; Poverty; Resting State; SDQ; SES; Socioeconomic Status; Structural Connectome; Verbal Intelligence; Woodcock-Johnson; Working Memory
URL: https://www.repository.cam.ac.uk/handle/1810/292061
https://doi.org/10.17863/CAM.39216
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16
Attentional Control Processing in Working Memory: Effects of Aging and Bilingualism
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17
Regular Latin Word Squares
In: Word Ways (2017)
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18
Computing All Distinct Squares in Linear Time for Integer Alphabets
Bannai, Hideo; Inenaga, Shunsuke. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2017. : LIPIcs - Leibniz International Proceedings in Informatics. 28th Annual Symposium on Combinatorial Pattern Matching (CPM 2017), 2017
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19
THE USE OF 20-SQUARES: ADD ONE MORE WORD AND WORD CLAP GAMES TO TEACH VOCABULARY
In: ELT Forum: Journal of English Language Teaching, Vol 6, Iss 1, Pp 1-9 (2017) (2017)
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20
Respective impact of bread structure and oral processing on dynamic texture perceptions through statistical multiblock analysis
In: ISSN: 0963-9969 ; Food Research International ; https://hal.archives-ouvertes.fr/hal-01532601 ; Food Research International, Elsevier, 2016, 87, pp.142-151. ⟨10.1016/j.foodres.2016.06.021⟩ (2016)
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