2,942 research outputs found
Challenges Faced By Nursing and Dialysis Staffs during COVID-19 Pandemic - Tanker Foundation a Model Organization
No full textTamilnad Kidney Research Foundation (TANKER Foundation) which was established in 1993 to support kidney disease related care to underprivileged people. It has now eleven dialysis units in the state of Tamilnadu, India.
COVID-19 pandemic has put enormous challenges for the dialysis staff. Here we describe how we face the challenges from March 2020 till now without interrupting or closing down the dialysis units. The no of dialysis staff who have got infected are 21% which required only home quarantine and symptomatic remedies. Our experience can be emulated by other charity organization which provide kidney care
How to bridge Scotland’s attainment gap
No full textMarcus, Geetha – ORCID 0000-0001-5610-5344
https://orcid.org/0000-0001-5610-5344Item not available in this repository.We need to think outside the box when reimagining Scotland’s education system, writes Dr Geetha Marcus
The UK has one of the most socially segregated school systems in the developed world, with academic selection – where children are admitted to a school on the basis of ability – and parental choice at its core.
The Organisation for Economic Co-operation and Development (OECD) believes this has a negative impact on social equality and a young person’s ability to earn a good income in the future. OECD evidence shows that segregated schools present children with two different perspectives of the world and affect their life chances.https://www.scotsman.com/news/opinion/how-to-bridge-scotland-s-attainment-gap-dr-geetha-marcus-1-4835747pubpu
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
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
SURMOF induced polymorphism and crystal morphological engineering of acetaminophen polymorphs: advantage of heterogeneous nucleation
No full text© 2018 The Royal Society of Chemistry. Self-assembled monolayers are extended to SURMOFs as template hetero surfaces using a basic HKUST-1 MOF. The concept of MOF induced polymorphism with morphological engineering adapted to crystal engineering has shown to have the advantage of heterogeneous nucleation. The substrates are used to study the nucleation and growth of acetaminophen, and have resulted in metastable polymorphs which are of a desirable form with block morphology
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
Nicolas Clinchamps, Christel Cournil, Catherine Fabregoule, Geetha Ganapathy-Dore (sous la direction de), Sécurité et environnement, Bruylant, coll. «droit(s) et développement durable » , 2016, 431 pages. Avant-propos B. Badie. Conclusions É. Naim-Gesbert
No full textRadiguet Rémi. Nicolas Clinchamps, Christel Cournil, Catherine Fabregoule, Geetha Ganapathy-Dore (sous la direction de), Sécurité et environnement, Bruylant, coll. «droit(s) et développement durable » , 2016, 431 pages. Avant-propos B. Badie. Conclusions É. Naim-Gesbert. In: Revue Juridique de l'Environnement, n°1, 2017. pp. 191-192
Modified Re-Iterated Kalman Filter for Handling Delayed and Lost Measurements in Power System State Estimation
No full textState estimator (SE) is a critical tool in the power system control center (CC) and is used by the system operators for real-time control and monitoring. Traditional SE techniques (static and dynamic) work under the assumption that there is no delay in communicating the sensor measurements to the CC. But in actual scenario, measurements are often randomly delayed and are not immediately available for processing. When the observations arrive with a delay, the current estimate of the system state may not be evaluated correctly, since the missing measurement may be carrying relevant information for estimating the states. With the increased deployment of phasor measurement units (PMUs) as sensors in the grid, time-stamped synchronized measurements are readily available. Time-stamped measurements enable the delay to be exactly known at the estimator. In this paper, a modified re-iterated Kalman filter that can handle both lost and delayed measurements without having any knowledge of the delay statistics, is proposed. The proposed algorithm is tested and validated in real-time using Real Time Digital Power System Simulator (RTDS)
Guided Wave based Damage Detection in a Composite T-joint using 3D Scanning Laser Doppler Vibrometer
No full textComposite T-joints are commonly used in modern composite airframe, pressure vessels and piping structures, mainly to increase the bending strength of the joint and prevents buckling of plates and shells, and in multi-cell thin-walled structures. Here we report a detailed study on the propagation of guided ultrasonic wave modes in a composite T-joint and their interactions with delamination in the co-cured co-bonded flange. A well designed guiding path is employed wherein the waves undergo a two step mode conversion process, one is due to the web and joint filler on the back face of the flange and the other is due to the delamination edges close to underneath the accessible surface of the flange. A 3D Laser Doppler Vibrometer is used to obtain the three components of surface displacements/velocities of the accessible face of the flange of the T-joint. The waves are launched by a piezo ceramic wafer bonded on to the back surface of the flange. What is novel in the proposed method is that the location of any change in material/geometric properties can be traced by computing a frequency domain power flow along a scan line. The scan line can be chosen over a grid either during scan or during post-processing of the scan data off-line. The proposed technique eliminates the necessity of baseline data and disassembly of structure for structural interrogation
Switching Equivalence in Symmetric n-Sigraphs-V
No full textIntroducing a new notion S-antipodal symmetric n-sigraph of a symmetric n-sigraph and its properties are obtained. Also giving the relation between antipodal symmetric n-sigraphs and S-antipodal symmetric n-sigraphs. Further, discussing structural characterization of S-antipodal symmetric n-sigraphs
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