2,883 research outputs found
Salman Rushdie Est Ouest (nouvelles), coll. «Feux croisés», 1997
No full textGanapathy-doré Geetha. Salman Rushdie Est Ouest (nouvelles), coll. «Feux croisés», 1997. In: Hommes et Migrations, n°1207, Mai-juin 1997. Imaginaire colonial, figures de l'immigré. p. 136
Digital and remote models of mentoring
No full textGeetha Marcus - ORCID: 0000-0001-5610-5344
https://orcid.org/0000-0001-5610-5344https://www.taylorfrancis.com/books/edit/10.4324/9780429356957/mentoring-teachers-scotland-jane-essex-sandra-eady-margaret-mccoll-kay-livingstonhttps://www.routledge.com/Mentoring-Teachers-in-Scotland-A-Practical-Guide/Eady-Essex-Livingston-McColl/p/book/9780367405991pubpu
Studies of Histidine, Phenylalanine Complexes of Oxovanadium(IV) Derived from Acetylacetone
No full textSchiff base complexes of oxovanadium(IV) with amino acids and acetylacetone were synthesized and characterized by elemental analysis, conductivity measurements, spectral and magnetic data. The complexes were found to be non-electrolytes and stoichiometry shown 1:1. The spectral and magnetic data were suggesting the square pyramidal geometr
Data privacy in knowledge discovery
No full textThis thesis addresses data privacy in various stages of extracting knowledge embedded in databases. Advances in computer networking and database technologies have enabled the collection and storage of vast quantities of data. Legal and ethical considerations might require measures to protect an individual's privacy in any use or release of the data. In this thesis, we address the problem of preserving privacy in the two following cases: (1) in distributed knowledge discovery; (2) in situations where the output of a data mining algorithm could itself breach privacy. We present results in two different models, namely secure multiparty computation (SMC) and differential privacy. The first part of the thesis presents privacy preserving protocols in the SMC model. Secure multiparty computation involves the collaborative computation of functions based on inputs from multiple parties. The privacy goal is to ensure that all parties receive only the final output without any party learning anything beyond what can be inferred from the output. Within this framework we address the problem of preserving privacy in the preprocessing and the data mining stages of knowledge discovery in databases. For the preprocessing stage, we present private protocols for the imputation of missing data in a dataset that is shared between two parties. For the data mining stage, we introduce the notion of arbitrarily partitioned data that generalizes both horizontally and vertically partitioned data. We present a privacy-preserving protocol for k-means clustering of arbitrarily partitioned data. We also develop a new simple k-clustering algorithm that was designed to be converted into a communication-efficient protocol for private clustering. The second part of the thesis deals with privacy in situations where the output of a data mining algorithm could itself breach privacy. In this setting, we present private inference control protocols in the SMC model for On-line Analytical Processing systems. In the differential privacymodel, the goal is to provide access to a statistical database while preserving the privacy of every individual in the database, irrespective of any auxiliary information that may be available to the database client. Under this privacy model, we present a practical privacy preserving decision tree classifier using random decision trees.Ph.D.Includes abstractVitaIncludes bibliographical referencesby Geetha Jagannatha
Marginalisation and the voices of Gypsy/Traveller girls
No full textAmnesty
International has accused the media and Scotland’s 32 local authorities of
perpetuating discrimination agai
nst Gypsy/Travellers declaring,
“despite four inquiries by the
Scottish Equal Opportunities Committee over the last 12 years, little or no progress h
as been
made” (AIUK, 2013, p. 1).
The Scottish Government’s
(2010a)
Race Equality Statement
(2009)
acknowledges that Gypsy/Travellers are “a particularly discriminated against and
marginalised group”.
Despite an extensive catalogue of legislation, policies
, and
recommendations, our comprehension of Gypsy/Travellers is underdeveloped.
The ESRC
and the Scottish Government
2
have provided funding for a doctoral research project that
broadly aims to enhance an understanding of the experiences of Scottish Gypsy/T
ravellers.
Interpretations of the image and lives of Gypsy/Travellers in Scotland are riddled with
misperceptions, myths and assumptions based on stereotypical definitions of difference. The
propagation of these images continues to contribute to the orches
tration of interventionist
policies that seek to “civilise” people into assimilation with the majority settled population.
I
am in the third
year of my doctoral studies, in the process of analysing fieldwork data.
This
paper draws attention to preliminary
findings from in
-
depth interviews with Scottish
Gypsy/Traveller girls about their educational experiences,
recognising that
thei
r voices are
missing from the
literature.
In this paper, t
he girls’ accounts are highlighted and juxtaposed
alongside the genera
l problems encountered by Gypsy/Travellers in Scotland, and reveal a
complex narrative. Space, race, gender, culture and poverty appear to intersect where barriers
continue to exist. Equally, discrepancies in levels of empowerment, public participation,
me
dia representations and respect for ethnicity are experienced at these intersections
Event calculus to support temporal reasoning in a clinical domain
No full textThis work concerns temporal aspects of a knowledge based system which holds information on patients as they progress through their treatment in a vascular surgery department. Representing and using knowledge about temporal relationships so as to provide decision support to a historical knowledge base of patient data is investigated. Event Calculus, in first order classical logic augmented with negation by failure, provides an effective framework for reasoning about time. From Kowalski and Sergot's original Event Calculus we arrive at a simple and flexible framework which can be used as a temporal support in a medical knowledge based system. We show how Event Calculus can be used to describe a simple model of the clinical pathway in vascular surgery. Patient information in the medical record is formalised in a structural framework to suit the Event Calculus. Medical knowledge about investigation and treatment options is added to the model so that the resulting system can recommend the options which are appropriate at any particular time. It is shown how these recommendations provide decision support by recommending what should be done next, and when to re-evaluate measurements that become unreliable. It is argued that there are advantages to be gained by adopting a general temporal reasoning framework because it can be extended to support various medical and administrative tasks. The extensions available to the Event Calculus, further its suitability as a temporal reasoning framework in the medical domain. A prototype system, essentially a research workbench over a realistic domain, is built using Prolog to illustrate the temporal reasoning capabilities provided by the Event Calculus framework. Using case studies it is demonstrated how the prototype system fulfils the decision support abilities we aimed to achieve in the knowledge base.</p
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
Carbon-efficient virtual machine placement based on dynamic voltage frequency scaling in geo-distributed cloud data centers
No full textThe tremendous growth of big data analysis and IoT (Internet of Things) has made cloud computing an integral part of society. The prominent problem associated with data centers is the growing energy consumption, which results in environmental pollution. Data centers can reduce their carbon emissions through efficient management of server power consumption for a given workload. Dynamic voltage frequency scaling (DVFS) can be applied to control the operating frequencies of the servers based on the workloads assigned to them, as this approach has a cubic increment relationship with power consumption. This research work proposes two DVFS-enabled host selection algorithms for virtual machine (VM) placement with a cluster selection strategy, namely the carbon and power-efficient optimal frequency (C-PEF) algorithm and the carbon-aware first-fit optimal frequency (C-FFF) algorithm. The main aims of the proposed algorithms are to balance the load among the servers and dynamically tune the cooling load based on the current workload. The cluster selection strategy is based on static and dynamic power usage effectiveness (PUE) values and the carbon footprint rate (CFR). The cluster selection is also extended to non-DVFS host selection policies, namely the carbon-and power-efficient (C-PE) algorithm, carbon-aware first-fit (C-FF) algorithm, and carbon-aware first-fit least-empty (C-FFLE) algorithm. The results show that C-FFF achieves 2% more power reduction than C-PEF and C-PE, and demonstrates itself as a power-efficient algorithm for CO2 reduction, retaining the same quality of service (QoS) as its counterparts with lower computational overheads
Future of work – apprehensions and excitement of management graduates
No full textThe study explores the perceptions of graduates on their employability and future of work, in light of the challenges thrown upon by new vicissitudes in the work environment. The study intends to assess the preparedness of management graduates in facing the challenges and uncertainties of the actual job market. Semi - structured and informal interviews with 65 management graduates from UK, Canada, Italy and India. The thematic analysis uncovered the concerns and areas to develop for management graduates regarding their future employability perceptions. We benefited from a unique opportunity to capture the views and experience of graduates who are undergoing management education during this ambiguous period. Three major themes were developed on how to develop oneself for an ambiguous future of work which includes, Psychological strengths, Skill enhancement and Future mindset. The study also unearthed the major focus areas for better employability from a graduate perspective. Practical contribution comes from strategies to prepare university graduates for sustainable careers. From a global approach this is one among the first studies to look into the graduate perspective of their preparedness for future work
supplementary-HLE_Schedule – Supplemental material for Health-related life events in patients with somatic symptom disorders: A case control study
No full textSupplemental material, supplementary-HLE_Schedule for Health-related life events in patients with somatic symptom disorders: A case control study by Balaswamy Reddy, Santosh Kumar Chaturvedi, Geetha Desai, Narayana Manjunatha and Srinivas Guruprasad in International Journal of Social Psychiatry</p
- …
