119 research outputs found
sj-docx-1-jad-10.1177_10870547221147546 – Supplemental material for Neural Basis of Internal Attention in Adults with Pure and Comorbid ADHD
No full textSupplemental material, sj-docx-1-jad-10.1177_10870547221147546 for Neural Basis of Internal Attention in Adults with Pure and Comorbid ADHD by Halima Rafi, Ryan Murray, Farnaz Delavari, Nader Perroud, Patrik Vuilleumier, Martin Debbané and Camille Piguet in Journal of Attention Disorders</p
Towards uncertainty in micro-grids: planning, control and investment
No full textThe advent of micro-grids and their potential participation in the wholesale market makes the development of new business models necessary. It is anticipated that the future wholesale market for electricity and its ancillary services will include the existing major players as well as microgrids, which will act both as buyers and sellers. The wholesale market will shift more towards a distributed system with the centers of gravity dynamically changing depending on how the smaller micro-grids play out their supply and demand and also how the market aggregation takes place. Having the obligation to fully satisfy its demand at each point of time, any shortage in available power supply within the micro-grid will lead to the purchase of electricity from the macro-grid at spot market price. The sources of variability rising from the forecast of renewable energy resources and electricity demand, would introduce uncertainty in making decisions at planning layer. Also, a micro-grid may fail to honor its contractual obligations to supply to the market due to these volatilities.To optimize the planning and operation of micro-grids, it is important for the planner and controller to take into account uncertainties inherent to the microgrid and the overall supply and demand network, including the energy market place. With high capital costs involved in building a micro-grid, sequential investment strategies, which promote gradual increase in capacity of generation, are needed. This work aims to develop a set of models and tools that address the optimal decision-making processes involved in both operation and investment in micro-grids. These models account for short-term operational and long-term investment uncertainties in decision making and adopt the following analytics: Two-stage stochastic programming and certainty equivalent models to obtain optimal decisions for day-ahead planning in micro-grid’s operation; Contingent claim analysis and Monte Carlo simulation to examine the value in delaying the investment due to uncertainty around the investment; Capital budget planning model along with Monte Carlo stochastic scenario generation to derive the optimal investment decisions for micro-grid’s portfolio considering its optimal operation under uncertainty.M.S.Includes bibliographical referencesby Farnaz Farza
Chronic early-life obesity linked to childhood impulsivity predicts long-term psychosis trajectory through dose-dependent cerebellar dysmaturation in 22q11.2 Deletion Syndrome.
No full textRecent epidemiological evidence links early-life obesity and metabolic dysregulation to adult psychosis vulnerability, though a causal relationship remains unclear. Establishing causality in highly heritable psychotic disorders requires: 1) demonstrating that early-life metabolic factors mediate between genetic vulnerability and psychosis trajectory, 2) dissecting mechanisms leading to early-life obesity in genetically vulnerable individuals, and 3) clarifying downstream neurodevelopmental pathways linking early-life obesity to psychosis symptoms. Here we investigated bidirectional pathways linking behavioral, BMI, and neurodevelopment trajectories in a unique longitudinal cohort of 184 individuals at high genetic risk for psychosis, due to 22q11.2 Deletion Syndrome (22q11DS), and 182 neurotypical controls, followed-up since childhood. We combined repeated BMI measurements with clinical/neurocognitive phenotyping and neuroimaging. We investigated the relationship between BMI trajectories with risk of psychosis and tested whether altered cortical or cerebellar development could underlie this association. Childhood behavioral impulsivity predicted early and progressive deviations in BMI trajectories, mediating the effects of 22q11DS vulnerability to early-life obesity. Chronic BMI-increases manifesting during childhood predicted the subsequent emergence of psychosis during late-adolescence/early-adulthood, mediating the effects of behavioral impulsivity. A dose effect relationship linked duration of increased BMI-status to worsening of motor and cognitive disorganization, a key schizophrenia symptom domain, which was mediated by progressive gray matter volume reductions in posterior-inferior cerebellum. These findings suggest that metabolic dysregulation associated with obesity may link childhood behavioral impulsivity to psychosis vulnerability in 22q11DS, by influencing cerebellar maturation. These findings might support preventive interventions targeting early-life metabolic trajectories in individuals at risk of psychosis.MIPLA
Chronic early-life obesity linked to childhood impulsivity predicts long-term psychosis trajectory through dose-dependent cerebellar dysmaturation in 22q11.2 Deletion Syndrome
No full textBackground: recent epidemiological evidence links early-life obesity and metabolic dysregulation to adult psychosis vulnerability, though a causal relationship remains unclear. Establishing causality in highly heritable psychotic disorders requires: 1) demonstrating that early-life metabolic factors mediate between genetic vulnerability and psychosis trajectory, 2) dissecting mechanisms leading to early-life obesity in genetically vulnerable individuals, and 3) clarifying downstream neurodevelopmental pathways linking early-life obesity to psychosis symptoms.Methods: here we investigated bidirectional pathways linking behavioral, BMI, and neurodevelopment trajectories in a unique longitudinal cohort of 184 individuals at high genetic risk for psychosis, due to 22q11.2 Deletion Syndrome (22q11DS), and 182 neurotypical controls, followed-up since childhood. We combined repeated BMI measurements with clinical/neurocognitive phenotyping and neuroimaging. We investigated the relationship between BMI trajectories with risk of psychosis and tested whether altered cortical or cerebellar development could underlie this association. Results: childhood behavioral impulsivity predicted early and progressive deviations in BMI trajectories, mediating the effects of 22q11DS vulnerability to early-life obesity. Chronic BMI-increases manifesting during childhood predicted the subsequent emergence of psychosis during late-adolescence/early-adulthood, mediating the effects of behavioral impulsivity. A dose effect relationship linked duration of increased BMI-status to worsening of motor and cognitive disorganization, a key schizophrenia symptom domain, which was mediated by progressive gray matter volume reductions in posterior-inferior cerebellum.Conclusions: these findings suggest that metabolic dysregulation associated with obesity may link childhood behavioral impulsivity to psychosis vulnerability in 22q11DS, by influencing cerebellar maturation. These findings might support preventive interventions targeting early-life metabolic trajectories in individuals at risk of psychosis. <br/
Characterizing developmental neural correlates of psychosis predisposition in patients with 22q11.2DS using multimodal neuroimaging techniques
No full textSchizophrenia is a severely disabling mental disorder with largely unknown underlying mechanisms. Although fully developed psychosis is typically diagnosed in early adulthood, symptoms often begin manifesting in a sub-clinical state during adolescence. This thesis investigates the neurodevelopmental underpinnings of psychosis vulnerability, particularly through the lens of 22q11.2 Deletion Syndrome (22q11DS). By developing and applying advanced brain functional imaging techniques, specifically for resting-state functional MRI (rs-fMRI), this work explores the maturation of brain circuits and their association with psychosis.
In summary, our findings support the notion of aberrant brain developmental processes, particularly in subcortical structures, leading to psychosis. We show that the methodology of rs-fMRI can be used to extract valuable information with regards to clinically relevant alterations in the brain. Furthermore, we provide the first evidence of cerebrovascular functional abnormalities in patients with 22q11DS, highlighting the need for further investigation.</p
Interaction of microwave filaments and blunt body in supersonic flow
No full textRecent experiments have demonstrated the capability of pulsed microwave energy deposition for drag reduction in supersonic flows. The principal mechanism of this phenomenon is the interaction of the hot filaments generated by the microwave energy pulse with the shock system formed by the aerodynamic body. In this work, the filament is modeled as a thin fluid region of high temperature. The interaction of the filament(s) with a cylindrical body at Mach number 1.89 is examined using the unsteady Euler equations. Two filament structures are considered, namely, 1) an infinitely long filament, and 2) a periodic train of finite filaments (at different frequencies). The development of the flow structure during the interaction is investigated. Furthermore, the drag reduction effectiveness and efficiency of the process of the interaction of the microwave filament(s) with the cylindrical shock layer for each case are studied.M.S.Includes bibliographical references (p. 71-73)
Migration and having a baby
No full textThis zine emerged from an assignment in an English Language Learning and Acquisition class (ELLA 0120-001) with Douglas College instructor Tina Fusco. Students were prompted to create zines inspired by their experiences of coming to Canada and their perceptions of Canadian culture.Not peer reviewedzine
Beyond and Behind Platforms and Algorithms: Exploring the Lived Experiences of Gig Workers
No full textWhile the literature on gig work is expanding rapidly, many are the issues that need to be answered in order to fully understand the lived experiences of gig workers and illuminate the dynamics of gig work. Despite it is widely recognized that gig workers constitute an heterogenous workforce, for instance, seminal works have focused on finding similarities among gig workers across platforms, while the mechanisms behind different gig workers’ behaviors and perceptions are still widely obscure. Moreover, most of the literature focuses on what gig workers do individually on platforms, but not – or only cursorily – on how these workers manage the interplay between their online and offline activities. Specifically, comprehending how the online dimensions of work blur or integrate with offline aspects of gig workers’ lives – such as family condition or family needs, the presence of alternative, offline jobs, the cultural context of the community and country of origin – is of significant importance. This symposium addresses these issues by examining what happens behind and beyond platforms, and by presenting four papers looking at different gig workers’ experiences and different forms of interplay between online and offline aspects of gig work.
A Multi-National Ethnography of Ride-Hailing in the Global South
Author: Lindsey Cameron; The Wharton School, U. of Pennsylvania
Author: Bobbi Thomason; Pepperdine Graziadio Business School
Understanding African Digital Platform Workers’ Behaviours through the Lens of Omoluwabi Ethos
Author: Ayomikun Idowu; U. of Sussex Business School
Gig workers and Wellbeing: How is Algorithmic Work related to Work-Life Balance?
Author: Francesca Bellesia; Dep. of Sciences and Methods for Engineering, U. of Modena and Reggio Emilia
Author: Fabiola Bertolotti; U. of Modena and Reggio Emilia
Author: Elisa Mattarelli; San Jose State U.
Gig work in organizations: Trends and perspectives from Human Resource Management professionals
Author: Ksenia Keplinger; Max Planck Institute for Intelligent Systems
Author: Aizhan Tursunbayeva; Parthenope U. of Naples
Author: Vindhya Singh; Max Planck Institute for Intelligent Systems
Author: Stefano Di Lauro; U. Mercatoru
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