475 research outputs found
Sexuality Beyond Consent: Risk, Race, Traumatophilia: A Conversation Among Artemis Christinaki, Amrita Narayanan, and Avgi Saketopoulou
No full textThis transcribed conversation of an online dialogue between Artemis Christinaki, Amrita Narayanan, and Avgi Saketopoulou introduces readers to Saketopoulou’s recently published book, Sexuality Beyond Consent: Risk, Race, Traumatophilia. With astute questions and through a series of probing observations, Christinaki and Narayanan engage the author, opening up crucial dimensions of psychoanalysis, gender and sexuality studies, and politics. The exchange tracks the three main signifiers of the book, risk, race, and traumatophilia, and articulates Saketopoulou’s critical concern with the traumatophobic logics rippling through the field. What emerges is a rich discussion of how Saketopoulou’s three terms work within psychoanalysis and the risks, opportunities, and challenges they unfurl in the clinic and in the broader field of psychosocial and psychoanalytic studies.<br/
Introduction
No full textByline: G. Narayanan Author Affiliation: Department of Radiology, University of Miami Miller School of Medicine, Miami, FLAcademi
Utility of triazole antifungal therapeutic drug monitoring: Insights from the Society of Infectious Diseases Pharmacists
No full textTriazole antifungals (i.e., fluconazole, itraconazole, voriconazole, posaconazole, and isavuconazole) are commonly used in clinical practice to prevent or treat invasive fungal infections. Most triazole antifungals require therapeutic drug monitoring (TDM) due to highly variable pharmacokinetics, known drug interactions, and established relationships between exposure and response. On behalf of the Society of Infectious Diseases Pharmacists (SIDP), this insight describes the pharmacokinetic principles and pharmacodynamic targets of commonly used triazole antifungals and provides the rationale for utility of TDM within each agent
Evaluation of treatment options for methicillin-resistant Staphylococcus aureus infections in the obese patient
No full textNavaneeth Narayanan,1,2 Christopher D Adams,1 David W Kubiak,3 Serena Cheng,4 Robyn Stoianovici,5 Leonid Kagan,1,6 Luigi Brunetti1,61Department of Pharmacy Practice, Rutgers University, Ernest Mario School of Pharmacy, Piscataway, NJ, USA; 2Division of Infectious Diseases, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA; 3Department of Pharmacy, Brigham and Women’s Hospital, Boston, MA, USA; 4Department of Pharmacy, VA San Diego Healthcare System, San Diego, CA, USA; 5Department of Pharmacy, University of California, Davis Medical Center, Sacramento, CA, USA; 6Department of Pharmaceutics, Rutgers University, Ernest Mario School of Pharmacy, Piscataway, NJ, USAAbstract: Methicillin-resistant Staphylococcus aureus (MRSA) has emerged as a major cause of infection in both the hospital and community setting. Obesity is a risk factor for infection, and the prevalence of this disease has reached epidemic proportions worldwide. Treatment of infections in this special population is a challenge given the lack of data on the optimal antibiotic choice and dosing strategies, particularly for treatment of MRSA infections. Obesity is associated with various physiological changes that may lead to altered pharmacokinetic parameters. These changes include altered drug biodistribution, elimination, and absorption. This review provides clinicians with a summary of the literature pertaining to the pharmacokinetic and pharmacodynamic considerations when selecting antibiotic therapy for the treatment of MRSA infections in obese patients.Keywords: obesity, methicillin-resistant Staphylococcus aureus, antibiotics, pharmacokinetic
A dangerous but powerful idea - counter acceleration and speed with slowness and wholeness
No full textThe dangerous idea is that school reform, in India in particular, but across the world too, is impossible. Changing education, at the systemic level or at the institutional or school level, or educating teachers and school leaders in change can be classified as largely first order change - that of school improvement, which involves doing more of the same but doing it better (where the focus is on efficiency) and that of school re-structuring, which involves re-organising components and responsibilities (where the focus is on effectiveness). Geetha Narayanan is Principal Investigator with Project Vision at the Centre for Education Research Training and Development (CERTAD) within the Srishti School of Art Design and Technology in Bangalore, India. She has dedicated her career to finding and establishing new models of education that are creative, synergistic and original in their approach to learning. Read the article and listen to audio of the author discussing her ideas
Coupling of structural solver and volume-conserving solver for form-finding of membrane structures subjected to ponding
No full textThe current study deals with coupling of a volume conserving solver and a structural solver to calculate the static deformation of flexible structures under the load of a given volume of water. The volume-conserving solver contains a horizontal plane representing the free surface of the fluid, which is moved in the non-linear iterations to conserve the volume. The Partitioned approach is chosen to have code modularity and reusability with many structural codes
Exploring image recognition: applying convoluted neural networks and learning to recognize safe cyclists
No full text"Today, there is a need to focus on the mobility revolution that is currently taking place. With the advent of more intelligent data gathering, there is also a growing need for using existing technology and infrastructure to achieve this goal, without incorporating expensive, complicated systems. As single-occupancy give way to shared mobility solutions, combined with regular mass transit and pedestrian-aware street infrastructure (traffic lights, crosswalks etc.), there is a large ""networked mobility system'' that has the potential to be tapped. Moreover, autonomous cars will be here soon, to add to the mix.
With statistics showing an increase in bicyclist related crashes over the last decade and an increase in bicycle-borne road users, there is a necessity for cities and autonomous vehicles to build bicycle safety into their adaptation to the ""driverless future"". This paper is an exploration into the use of a Convolutional Neural Network (CNN) based Machine Learning (ML) algorithm to identify bicycle-borne road users, who wear helmets.
We use a pre-made CNN framework-YOLO (You Only Look Once), and built around it further. After a brief proof-of-concept test on a publicly available dataset (including extraction, parsing and detection), the algorithm was modified. Some important features were added, such as identifying license plates, faces and encrypting them. Further, there is also a detailed account of using the ML capabilities that the framework is built with, and training it to identify bicycle-borne road users wearing a helmet."Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-08-01The student, Ramakrishnan Narayanan, accepted the attached license on 2017-07-21 at 13:17.The student, Ramakrishnan Narayanan, submitted this Thesis for approval on 2017-07-21 at 13:34.This Thesis was approved for publication on 2017-07-21 at 13:47.DSpace SAF Submission Ingestion Package generated from Vireo submission #11580 on 2018-03-02 at 13:03:11Made available in DSpace on 2018-03-02T20:02:40Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-07-21Embargo set by: Seth Robbins for item 105096
Lift date: 2020-03-02T20:02:46Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105096 on 2020-03-03T10:15:18Z
Simulation of wind induced excitation of a membrane structure with ponding water
No full textThis paper proposes a new partitioned coupling approach to simulate the wind induced excitation of a membrane structure with ponding water. This approach uses three different solvers to simulate wind, water and membrane structure. The main assumption here is that the interaction between the wind and water can be neglected due to the small depth and small fetch of the water, relative to the size of the membrane structure. This assumption results in a coupling strategy where the structural solver independently interacts with the wind and water solver. The results from this method is compared with a straightforward approach, where a two-phase solver, modeling the wind and water, is coupled to a structural solver. The obtained results agreed very well with the reference modeling approach, where all the interactions are taken into account. Furthermore, the proposed method was found to be computationally more efficient
Development of fluid-structure interaction algorithms for tents subjected to ponding water and wind flow
No full textMembraanconstructies zijn door hun flexibiliteit gevoelig voor ophoping van water bij hevige regenval, de zogenaamde plasvorming bij hevige regenval. Een sterke windvlaag in deze situatie kan de membraanstructuur prikkelendoen bewegen, waardoor grote trillingen verplaatsingen ontstaan en de structuur zelfs kan instorten of beschadigen. Deze extreme gebeurtenis is een voorbeeld van een vloeistof-structuur interactie (FSI) fenomeen dat zich voordeed tijdens het Pukkelpop festival in 2011 en leidde tot het instorten van vwaarbij verschillende concerttenten instortten en vijf menselijke slachtoffers te betreuren waren.
In dit werk wordt een simulatieworkflow berekeningswijze ontwikkeld om dergelijke gevallen te analyseren, zodat het gebruikt kan worden om veiligere tentconstructies te ontwerpen of op zijn minsten de veiligheid van tentconstructies onder dergelijke extreme omstandigheden te voorspellen. De workflow berekeningswijze is verdeeld in twee componenten: berekening van statische plasanalyse plasvorming en dynamische FSI-simulatie met de wind, plaswater en membraanstructuur.
Het doel van de statische plasanalyse berekening van plasvorming is het bepalen van de statische vervorming van de membraanconstructie als gevolg van het plaswater. In dit proefschrift worden monolithische en gepartitioneerde algoritmen of methoden voorgesteld om dit te bereiken.
Voor het dynamische FSI deel van de workflow berekeningswijze stelt het proefschrift een nieuwe en efficiënte gepartitioneerde aanpak voor de FSI- simulatie voor waarbij de wind, het water en de membraanstructuur in verschillende solvers rekenprogramma’s gemodelleerd worde
Elaborating the Project Management System
No full textThis chapter elaborates on the perspective of project management as an organizational capability, crucial for strategy execution and hence necessitating the attention of senior management. The author builds on the work on Project Management System (PMS) by Narayanan and DeFillippi, who developed the PMS concept to describe the context created for project managers by the senior management of a firm in response to strategy shifts. This chapter develops this concept further by detailing how PMS influences the conduct of project managers: their competencies, successful resource acquisition practices, ways to access information and knowledge, behavioral challenges, and career opportunities. The chapter also indicates some key practical implications for project managers: the need to be aware of the organizational context, understanding the strategic logic of projects, the need to speak the language of senior management, and mapping information networks. </jats:p
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