188,225 research outputs found
New Models of Care and Innovation in Alzheimer’s Disease and Related Dementias
No full textDr. Anitha Rao delivered several presentations at the Alzheimer’s Association International Conference (AAIC) in London, UK, July 2017.1–3 In an expert interview following AAIC 2017, Dr. Rao discusses the current limitations of standard care for patients with Alzheimer’s disease and related dementias (ADRD), and puts into perspective the potential positive impact of important new technologies such as Neurocern.</p
Explorations on the Nature of Resistance: Challenging Gender Based Violence in the Academy
No full textGender based violence (GBV) in universities is well-established as a matter of concern in policy, political and academic environments in the US (e.g. Fisher, et al. 2010) and Canada (e.g. DeKeseredy and Schwartz 2011). In Europe and elsewhere, attention to it has developed more recently (Anitha and Lewis 2018). Hand in hand with that attention, comes resistance to all the forms of GBV, defined here as ‘behaviour or attitudes underpinned by inequitable power relations that hurt, threaten or undermine people because of their (perceived) gender or sexuality’ (Anitha and Lewis 2018, p. 1). This chapter explores the different kinds of resistance that are emerging, including attempts to eradicate GBV (by national bodies, higher education institutes, campaigning groups and activists) as well as the strategies of resistance by those whose actions can be characterised as comprising a ‘backlash’ to (perceived) feminist gains and an attempt to hold onto a gendered status quo.</p
Explorations on the Nature of Resistance: Challenging Gender Based Violence in the Academy
No full textGender based violence (GBV) in universities is well-established as a matter of concern in policy, political and academic environments in the US (e.g. Fisher, et al. 2010) and Canada (e.g. DeKeseredy and Schwartz 2011). In Europe and elsewhere, attention to it has developed more recently (Anitha and Lewis 2018). Hand in hand with that attention, comes resistance to all the forms of GBV, defined here as ‘behaviour or attitudes underpinned by inequitable power relations that hurt, threaten or undermine people because of their (perceived) gender or sexuality’ (Anitha and Lewis 2018, p. 1). This chapter explores the different kinds of resistance that are emerging, including attempts to eradicate GBV (by national bodies, higher education institutes, campaigning groups and activists) as well as the strategies of resistance by those whose actions can be characterised as comprising a ‘backlash’ to (perceived) feminist gains and an attempt to hold onto a gendered status quo.</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Bridging the gap between business and technology : Bumiputra-Commerce's approach / Anitha a/p Poopalasingam
No full textPEGylating poly(p-phenylene vinylene)-based bioimaging nanoprobes
No full textHypothesis: Conjugated polymer nanoparticles (CNPs) have attracted considerable attention within bioimaging due to their excellent optical properties and biocompatibility. However, unspecific adsorption of proteins hampers their effective use as advanced bioimaging probes. Controlled methodologies made possible tailor-made functional poly(p-phenylene vinylene), enabling one-pot synthesis of CNPs containing functional surface groups. Hence, it should be feasible to PEGylate these CNPs to tune the uptake by cell lines representative for the brain without imparting their optical properties. Experiments: CNPs consisting of the statistical copolymer 2-(50-methoxycarbonylpentyloxy)-5-methoxy-1,4-phenylenevinylene and poly(2-methoxy-5-(30,70-dimethoxyoctyloxy)-1,4-phenylenevinylene) were fabricated by miniemulsion solvent evaporation technique. Surface carboxylic acid groups were used to covalently attach amine-terminated polyethylene glycol (PEG) of different molecular weights. We investigated the effect of grafting CNPs with PEG chains on their intrinsic optical properties, protein adsorption behavior and uptake by representative brain cell lines. Findings: PEGylation did not affect the optical properties and biocompatibility of our CNPs. Moreover, a significant decrease in protein corona formation and unspecific uptake in central nervous system cell lines, depending on PEG chain length, was observed. This is the first report indicating that PEGylation does not affect the CNPs role as excellent bioimaging tools and can be adapted to tune biological interactions with brain cells. (C) 2020 Elsevier Inc. All rights reserved.Support for confocal microscopy was given by Prof. dr. Marcel Ameloot and Dr. Hannelore Bove. Cells were kindly provided by Prof. dr. Annelies Bronckaers, Dr. Jo Mailleux and dra. Jasmine Vanmol. Technical support was given by Huguette Penxten, Christel Bocken and Erik Royackers. Dr. Neomy Zaquen is acknowledged for the synthesis of the conjugated polymers. MP is grateful for funding from the IWT (Agentschap voor Innovatie door Wetenschap en Technologie). SS is an SB PhD Fellow at the Research Foundation Flanders (FWO). The work was funded by the Belgian Charcot Foundation. TJ is grateful for funding from the FWO in the form of an Odysseus grant. This work was supported by Hasselt University and the Research Foundation Flanders (FWO Vlaanderen; Hercules project AUHL/15/2 -GOH3816N). Additional support from BELSPO in the form of the interuniversity attraction pole (IAP) program P7/05: Functional Supramolecular Systems is kindly acknowledged. We further acknowledge the Hercules Foundation for the project (LC-MS@UHasselt: Linear Trap QuadrupoleOrbitrap mass spectrometer.Ethirajan, A (corresponding author), Hasselt Univ, Inst Mat Res, Wetenschapspk 1, B-3590 Diepenbeek, Belgium.
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Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
IoT Based Detection of Leakages in Gas Pipes
No full textIn industries leakage of Gas in the pipeline is a major issue nowadays. Leakage is defined as the accidental admission or escape of fluid through a hole or crack from the pipe. Gas leakages lead to losses as well as fire accidents. This project takes the control over automatic detection of leakages than the man power and thus reduce loss. Here we propose an inventive robot that clings on to the outer surface of the gas pipe and moves along the pipe to check for leakages. The kit consists of MQ5 gas sensor to detect the gas leakages. The robot moves continuously along the metal pipe, if there any presence of leakage the particular position is sensed by ultrasonic sensor and the message is send to the IOT through Wi Fi module. P. Anitha | K. Saranya "IoT Based Detection of Leakages in Gas Pipes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23722.pd
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