79 research outputs found
International Women’s Day: protecting the rights of Muslim women must not be used as a basis for denying their agency
International Women’s Day, which is held on 8 March every year, aims to celebrate the achievements of women while calling for greater gender equality across the world. To mark the event, Nourhan Elsayed writes on debates over the rights of Muslim women. She argues that campaigners in the West should seek to develop a more accommodative approach, where their non-Western counterparts are understood on their own terms as equal partners, rather than simply helpless victims
sj-docx-4-cix-10.1177_11769351231171743 – Supplemental material for In Silico Analysis of MicroRNA Expression Data in Liver Cancer
Supplemental material, sj-docx-4-cix-10.1177_11769351231171743 for In Silico Analysis of MicroRNA Expression Data in Liver Cancer by Nourhan Abu-Shahba, Elsayed Hegazy, Faiz M. Khan and Mahmoud Elhefnawi in Cancer Informatics</p
sj-docx-1-cix-10.1177_11769351231171743 – Supplemental material for In Silico Analysis of MicroRNA Expression Data in Liver Cancer
Supplemental material, sj-docx-1-cix-10.1177_11769351231171743 for In Silico Analysis of MicroRNA Expression Data in Liver Cancer by Nourhan Abu-Shahba, Elsayed Hegazy, Faiz M. Khan and Mahmoud Elhefnawi in Cancer Informatics</p
sj-cys-5-cix-10.1177_11769351231171743 – Supplemental material for In Silico Analysis of MicroRNA Expression Data in Liver Cancer
Supplemental material, sj-cys-5-cix-10.1177_11769351231171743 for In Silico Analysis of MicroRNA Expression Data in Liver Cancer by Nourhan Abu-Shahba, Elsayed Hegazy, Faiz M. Khan and Mahmoud Elhefnawi in Cancer Informatics</p
sj-docx-2-cix-10.1177_11769351231171743 – Supplemental material for In Silico Analysis of MicroRNA Expression Data in Liver Cancer
Supplemental material, sj-docx-2-cix-10.1177_11769351231171743 for In Silico Analysis of MicroRNA Expression Data in Liver Cancer by Nourhan Abu-Shahba, Elsayed Hegazy, Faiz M. Khan and Mahmoud Elhefnawi in Cancer Informatics</p
sj-docx-3-cix-10.1177_11769351231171743 – Supplemental material for In Silico Analysis of MicroRNA Expression Data in Liver Cancer
Supplemental material, sj-docx-3-cix-10.1177_11769351231171743 for In Silico Analysis of MicroRNA Expression Data in Liver Cancer by Nourhan Abu-Shahba, Elsayed Hegazy, Faiz M. Khan and Mahmoud Elhefnawi in Cancer Informatics</p
Associations of Socioeconomic Disadvantage with White Matter, Language Development, and Early Indicators of Affective Symptomatology from Infancy to Early Childhood
ABSTRACT OF THE DISSERTATION Associations of Socioeconomic Disadvantage with White Matter, Language Development, and Early Indicators of Affective Symptomatology from Infancy to Early Childhood by Nourhan M Elsayed, M.A. Doctor of Philosophy in Psychological and Brain Sciences Washington University in St. Louis, 2024 Professor Deanna Barch, Chair Socioeconomic disadvantage (SESD) is associated with reduced neurocognitive abilities, particularly in language, and reduced integrity in white matter bundles known to subserve language. These findings are important beyond language development, given evidence that cognition and emotion are dynamic processes, whereby the maturation of one process serves as a foundation for higher-level skills. The current study used data collected from 353 youth and their mothers from the longitudinal Early Life Adversity and Biological Embedding (eLABE) study across four time points, beginning at birth through age three, to examine the associations of SESD with expressive and receptive language, white matter development, and indicators of affective symptomatology from birth to age three. The study found that children with more SESD had lower receptive language at age one and slower receptive and expressive language increases between ages one and three. Children experiencing more SESD had lower radial (RD) and axial diffusivity (AD) in the uncinate fasciculus (UNC) at birth but no differences at birth in fractional anisotropy (FA), RD, or AD, in other examined white matter bundles subserving language (e.g., corpus callosum, inferior fronto-occipital fasciculus, superior longitudinal fasciculus). Across white matter bundles, change in microstructure between birth and age three was not associated with SESD. Contrary to hypotheses, there was no evidence that a relationship between SESD and language was via indirect effects of white matter microstructure or that associations between SESD and white matter microstructure were via indirect effects of language. There was no evidence of serial indirect effects by white matter microstructure and language or language and white matter microstructure from SESD to indicators of affective symptomology. These results highlight the early associations of SESD with language. The associations of SESD with language, with concurrent null associations between SESD and white matter microstructure, underscore the need for additional research examining the longitudinal associations between SESD and structural brain maturation across the lifespan
Assessing Process Suitability for Robotic Process Automation: A Process Mining Approach
Robotic Process Automation (RPA) is a technology for conducting time-consuming business activities. The implementation of RPA requires assessing processes\u27 suitability for automation. Traditionally, this assessment is done manually despite the fact that an accurate depiction of the process could be obtained using Process Mining. However, there is a lack of guidance on how to utilize Process Mining as a data-driven approach for conducting RPA process suitability assessment. For this reason, this research is aiming to propose a framework for process suitability assessment (FPSA). This Framework will provide organizations with a guide on performing a standard, data-driven RPA process suitability assessment using Process Mining. The development of the framework necessitated the identification of a standard set of criteria for assessment as well as a scoring model to measure such criteria. The evaluation of the framework showed evidence of the potential benefits that will ease the process assessment in RPA projects
The Meaning of Home Podcast - Episode Fifteen: Disparity
The Meaning of Home Podcast: Episode FifteenDate of recording: Monday 18 December 2023Episode theme: DisparityTopics: gendered city; urban design; marginalisation; reimagining spaces; quality of life.Guest(s)Nourhan Bassam, Founder of GamingX and author of The Gendered City</p
Evidence for Dissociable Cognitive and Neural Pathways from Poverty versus Maltreatment to Deficits in Emotion Regulation
Poverty and maltreatment predict deficits in emotion regulation (ER). Effective cognitive ER is supported by (1) cognitive processes implicated in generating and implementing cognitive reappraisal, supported by activation in brain regions involved in cognitive control (e.g., frontal, insular and parietal cortices) and, (2) emotional recognition and response, involving identification, encoding, and maintenance of emotional states and related variation in brain activity of regions involved in emotional reactivity (i.e., amygdala). Poverty is associated with deficits in cognitive control, and maltreatment with deficits in emotion identification and reactivity. Our goal was to identify dissociable emotional and cognitive pathways to ER deficits from poverty and maltreatment. Measures of cognitive ability, emotional identification, sensitivity, and responsivity, ER, and fMRI data during a sadness ER task were examined from a prospective longitudinal study of youth at risk for depression (n=149). Both cognitive ability and left anterior insula activity during a sadness reappraisal task additively mediated the relationship between poverty and ER. Emotional identification, sensitivity, and responsivity did not mediate the relationship of maltreatment to ER. Findings support a cognitive pathway to ER deficits from poverty and underscore the importance of dissociating mechanisms contributing to ER impairments associated with early childhood exposures
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