4,428 research outputs found
Dis/organising women’s freedom: feminist dialectical tensions in women’s business networks blogs
No full textThe growing popularity of women’s business networks (WBNs) is paralleled by a critique of their postfeminist character: by promoting individualist ideals in line with neoliberalism, WBNs are considered to disorganise rather than contribute to women’s freedom. To unpack this tension between the empirical phenomena and the feminist critique, we employ an inductive approach combining topic modeling, thematic coding and dialectical analysis to examine over 1,500 blog posts from four WBNs. We show how multiple discourses are circulated in the blogs and exist in tension with each other, and interpret the interstices for change and action that these tensions open. We thus contribute to understanding the ways to women’s freedom at the intersection of neoliberalism and postfeminism and extend the comprehension of how WBNs can contribute to this agenda. Furthermore, we make ancillary methodological contributions by using topic modeling in conjunction with other qualitative analysis tools and a large corpus of blog posts
Feminism in women’s business networks: A freedom-centred perspective
No full textHow do women’s business networks help to advance women’s freedom? Drawing on Zerilli’s freedom-centred feminism, our study sets out to answer this question at the intersection of freedom, feminism and work. Critics argue that women’s business networks promote a postfeminist view of freedom focusing on individual self-realisation and thus participate in rolling back collective, feminist efforts to dismantle structural inequalities. We reconceptualise women’s business networks as political arenas and argue that making claims about shared interests and concerns in such an arena constitutes a feminist practice of freedom. With an original, inductive and qualitative research design combining topic modeling and dialectical analysis, we examine the claims made in 1529 posts across four women’s business network blogs. We identify postfeminist claims and new forms of change and transformation that can help to advance women’s freedom across three ‘dialectics of freedom’: conformity and imagination; performative care and relational care; sameness and openness. Our findings show that uncertain and contradictory ways of defining and engaging with women’s freedom can emerge through claim-making in such arenas. The fragility of the process and its outcomes are, then, what can move feminism forward at work and beyond
An Overview on Carbon Fiber-Reinforced Epoxy Composites: Effect of Graphene Oxide Incorporation on Composites Performance
No full textCarbon fiber-reinforced polymer (CFRP) composites are used in a variety of applications such as aircraft, automobiles, body armors, and the sports sector owing to their ultra-strong and lightweight characteristics. However, the incorporation of an untreated pristine carbon fiber surface leads to a weak interfacial interaction with the polymeric matrix, thus triggering catastrophic failure of the composite material. Graphene oxide, a 2D-macromolecule consisting of several polar functional groups such as hydroxyl, carboxyl, and carbonyl on the basal planes and edges, tends to increase the surface area and has thus been applied between the fiber and matrix, helping to improve CFRP properties. Herein, we condense different routes of functionalization of GO nanosheets and their incorporation onto a fiber surface or in a carbon fiber-reinforced epoxy matrix, helping to improve the interfacial adhesion between the fiber and matrix, and thus allowing effective stress transfer and energy absorption. The improvement of the interfacial adhesion between the fiber and carbon fiber-reinforced epoxy matrix is due to the peculiar structure of GO nanoparticles composed of polar groups, especially on the edges of the nanosheets, able to provide strong interaction with the hosting cured epoxy matrix, and the “core” part similar to the structure of CFs, and hence able to establish strong π-π interactions with the reinforcing CFs. The article also covers the effect of functionalized graphene oxide incorporation on the mechanical, thermal, electrical, and viscoelastic properties of composite materials reinforced with carbon fibers
From Si Towards SiC Technology for Harsh Environment Sensing
No full textIn the coming decade, the development in the area of More than Moore will certainly take over from Moore’s Law. Sensor development and sensor integration will prevail above lower node development. New packaging solutions will be developed which will fuel the integration of sensors. These developments can still be silicon based but where harsh environments are involved wide-bandgap (WBG) materials, such as gallium nitride (GaN) or silicon carbide (SiC), will take over the development efforts spend. In this chapter, the use of WBG SiC material is discussed and reviewed towards possible applications for sensing under harsh environment exposure.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electronic Components, Technology and Material
FPGA Implementation of Digital Fir Filter
No full textThe Finite Impulse Response (FIR) filter is a digital filter widely used in Digital Signal
Processing applications in various fields like imaging, instrumentation, communications, etc.
Programmable digital processors signal (PDSPs) can be used in implementing the FIR filter.
However, in realizing a large-order filter many complex computations are needed which
affects the performance of the common digital signal processors in terms of speed, cost,
flexibility, etc.
Field-Programmable gate Array (FPGA) has become an extremely cost-effective means of
off-loading computationally intensive digital signal processing algorithms to improve overall
system performance. The FIR filter implementation in FPGA, utilizing the dedicated
hardware resources can effectively achieve application-specific integrated circuit (ASIC)-like
performance while reducing development time cost and risks.
In this thesis, a low-pass, band pass and high pass FIR filter is implemented on FPGA.
Direct-form approach in realizing a digital filter is considered. This approach gives a better
performance than the common filter structures in terms of speed of operation, cost, and power
consumption in real-time. The FIR filter is implemented in Spartan-III-xc3s500c-4fg320
FPGA and simulated with the help of Xilinx ISE (Integrated Software Environment).
Software WEBPACK project navigator 9.2i was used for synthesizing and simulation the
code.
Codes for direct form fixed point FIR filter have been realized. Modules such as multiplier,
adder, ram and two’s compliment were used. For an N order filter the number of shift register
and adders required is N and the number of multipliers required is N+1. These filters can
work in real time
Self-health analysis with two step histogram based procedure using machine learning
No full textMachine learning is the critical tool in the future for prediction in the real-time to analyze the self-health of the person. The self-health is the motivation for the patient who is suffering from different health issues and unaware of those because of not having the accurate backup or motivation. This article presents the two-step histogram-based procedure using machine learning where patient can get the idea on what's their current position in their health. The histogram methodology will be working in the two-stage mechanism which is the proposed methodology. The result of histogram methodology achieved 95% accuracy in identifying the selfhealth of the person. There will a user interface where he can communicate with the model by user inputs and the algorithm behind the submit button can analyse the self-health of the patient. There is a behavior for the patient to give the false inputs to the model and there is a risk analysis in the model which is an in build to analyse the accurate relativity of the inputs given by the patients to the application. The proposed method obtained 95% accuracy and the two-step histogram methodology can help the self to analyse their own health condition using machine learning models
Widening the Genetic Base of Legumes through Prebreeding
No full textpresentation on Widening the Genetic Base of Legumes through Prebreeding
Precision in harsh environments
No full textMicrosystems are increasingly being applied in harsh and/or inaccessible environments, but many markets expect the same level of functionality for long periods of time. Harsh environments cover areas that can be subjected to high temperature, (bio)-chemical and mechanical disturbances, electromagnetic noise, radiation, or high vacuum. In the field of actuators, the devices must maintain stringent accuracy specifications for displacement, force, and response times, among others. These new requirements present additional challenges in the compensation for or elimination of cross-sensitivities. Many state-of-the-art precision devices lose their precision and reliability when exposed to harsh environments. It is also important that advanced sensor and actuator systems maintain maximum autonomy such that the devices can operate independently with low maintenance. The next-generation microsystems will be deployed in remote and/or inaccessible and harsh environments that present many challenges to sensor design, materials, device functionality, and packaging. All of these aspects of integrated sensors and actuator microsystems require a multidisciplinary approach to overcome these challenges. The main areas of importance are in the fields of materials science, micro/nano-fabrication technology, device design, circuitry and systems, (first-level) packaging, and measurement strategy. This study examines the challenges presented by harsh environments and investigates the required approaches. Examples of successful devices are also given
Sciatic Nerve Injection Palsy in Children
No full textHow to Cite This Article: Harsh V, Chengazhacherril R.B, SharmaK, Kalakoti P, Gupta U, Ahmad W, Kumar A. Sciatic Nerve Injection Palsy in Children. Iran J Child Neurol. Autumn 2016; 10(4):86-87. Letter to Editor Pls see PDF file. References1. Toopchizadeh V, Barzegar M, Habibzadeh A. Sciatic Nerve Injection Palsy in Children, Electrophysiologic Pattern and Outcome: A Case Series Study. Iran J Child Neurol 2015 Summer;9(3):69-72.2. Sunderland S. Miscellaneous causes of nerve injury. London: Churcill Livingstone; 1991.3. Lehmann HC, Zhang J, Mori S, Sheikh KA. Diffusion tensor imaging to assess axonal regeneration in peripheral nerves. Exp Neurol 2010;223(1):238-44.4. Takagi T, Nakamura M, Yamada M, Hikishima K, Momoshima S, Fujiyoshi K, et al. Visualization of peripheral nerve degeneration and regeneration: monitoring with diffusion tensor tractography. NeuroImage 2009 ;44(3):884-92.5. Barry JM, Harsh V, Kumar A, Patil S. Injection nerve palsy: What’s to blame? J Neurosci Rural Pract 2013;4:481.6. Greensmith JE, Murray WB. Complications of regional anesthesia. Current opinion in anaesthesiology. 2006;19(5):531-7.7. Barry JM, Harsh V, Patil S. Are our intramuscular injections nerve-friendly? What are we missing? Simple techniques to prevent, recognize and manage nerve injection injuries. Int J Stud Res 2014;4(2):25-8
Surface-micromachined Silicon Carbide Pirani Gauges for Harsh Environments
No full textThe application of pressure sensors in harsh environments is typically hindered by the stability of the material over long periods of time. This work focuses on the design and fabrication of surface micromachined Pirani gauges which are designed to be compatible with state-of-the-art Silicon Carbide CMOS technology. Such an integrated platform would boost harsh environment compatibility while reducing the required packaging complexity. An analytical model was derived describing the design variables of the Pirani gauges followed by Finite Element Analysis. The Pirani gauges were fabricated in a CMOS compatible cleanroom with a process employing only three masks, thus suitable for mass production. The SiC-based Pirani gauge is far more competitive than the traditional Si-based Pirani gauge in terms of endurance in high-temperature environments. From 25°C to 650°C, the gauge shows a reproducible response to pressure changes and has a maximum sensitivity of /Pa at room temperature, and of /Pa at 650°C. Additionally, some of the gauges were demonstrated to operate at temperatures up to 750°C.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electronic Components, Technology and MaterialsQN/Zandbergen La
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