Bridging the Gaps in Public Conversation by Fostering Spaces of Activism

Spaces for protests, demonstrations, and activism are shifting under contemporary social, cultural, and governance structures. While particular conditions for physical space were once fairly unified in their ability to establish space for activism and dissent; social media and digital platforms have fundamentally changed the nature of those areas. This thesis aims to investigate frameworks of space-making that can potentially reposition spaces of activism as everyday events that represent the mood of the society. This in turn will also help in revisiting the terms of human engagement with the help of spaces that facilitate a deeper understanding of the people around us and conceive a sense of empathy within our social conversations

An Appreciation for Indian Cuisine among Bangkokians and Foreign Tourists in Bangkok: A Case Study

The aim of this research is to study the degree of appreciation for Indian cuisines among Bangkokians and Foreign Tourists in Bangkok. It is based on a survey of 13 famous Indian Restaurants in Bangkok. The research, conducted in July and August,2012, looks at restaurant service in terms of ambience, taste, quality & hygiene, price and service staff, with taste and quality & hygiene being the two important aspects. Both descriptive and inferential research was used in this study. 260 questionnaires were collected. The reliability value of all the variables was more than 0.6. The findings show that the degree of appreciation by consumers varies with the demographic factor considered (nationality, gender, age, marital status, income, and education)

Simulation study on acousto-optics sensing of focused ultrasound

Abstract. The acousto-optics (AO) technique can provide a good contrast with high penetration depth (up to 5 cm) and can be potentially utilized in real time monitoring of the focused ultrasound (FUS) therapies. This work presents the AO simulation study on the interaction of light and FUS in the single-layer brain (SLB) medium and four-layer brain (FLB) medium. FUS pressure distribution at 0.5 MHz and 0.9 MHz frequency was simulated on k-Wave toolbox and the AO Monte Carlo (MC) algorithm was developed on MATLAB to simulate the AO effect in both mediums. The result for the SLB for both ultrasound (US) frequencies suggests that the modulation depth (MD) is high in the region of US focus with a magnitude of 2%-3% and <1% at 0.5 MHz and 0.9 MHz, respectively. Moreover, the MD decreases to 5 orders of magnitude at the source region. In the FLB, the MD decreased to 4–4.5 orders at the source and was present in the skull and US focus region with a magnitude of <1% at both US frequencies. These results suggest that AO can be utilized in sensing FUS effects on brain tissue and the AO signal-to-noise ratio (SNR) depends not only on the MD but also on the level of light intensity interacting with the US pressure

Biometric Face Recognition System using SURF Based Approach

Face recognition can be viewed as the problem of robustly identifying an image of a human face, given some database of known faces [6]. We propose a novel, SURF based approach to the problem of face recognition. Although the results are not gratifying our proposed approach loosens the burden of creating the sub spaces as is done in PCA, LDA and the most recent Bayesian approach. Also, during the experiments even though we used an unturned program for the proposed approach, it outperforms the basic PCA and LDA based approaches in terms of consistency. This article presents a scale-invariant and novel rotation detector and descriptor known as SURF (Speeded-Up Robust Features). SURF outperforms previously defined schemes with respect to repeatability as well as distinctiveness and robustness. It’s computing and comparing can be much faster. This is done by relying on integral images for image convolutions; by making the strengths of the leading existing detectors and descriptors (specifically, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor); and by simplifying these methods to the essential. Its result is a combination of novel detection, description, and finding match steps. The paper contains an overview of the detector and descriptor and then finds out the effects of the most important parameters. The article is concluded with SURF’s application to two challenging. Yet it converse goals i.e. camera calibration which is a special case of image registration and recognition of objects. Our experiments show that SURF is very useful in vast areas of computer vision

Study of uterine artery embolization: a newer modality in secondary PPH

Background: Postpartum hemorrhage remains a major cause of both maternal mortality and morbidity worldwide. This study reflects the clinical outcomes including clinical effectiveness, and safety of uterine artery embolization (UAE) for the treatment of obstetrical uterine hemorrhage at a tertiary-care hospital, in terms of secondary PPH.Methods: The data were collected as a retrospective study from SAMC and PGI obstetric and gynecology department 12 women with secondary pph were included in the study.Results: With the use of uterine artery embolization 12 women were successfully treated amongst them maximum patients were in 26-35 yrs of age and mean age of women were 32.4yrs and gravidity of patients presenting with pph is 3 or more.Conclusions: Selective UAE is a safe and effective method to control obstetric hemorrhage. Blood product requirements after UAE were low, and the surgical risks and absolute loss of fertility associated with hysterectomy were avoided

A new procedure for misbehavior detection in vehicular ad-hoc networks using machine learning

Misbehavior detection in vehicular ad hoc networks (VANETs) is performed to improve the traffic safety and driving accuracy. All the nodes in the VANETs communicate to each other through message logs. Malicious nodes in the VANETs can cause inevitable situation by sending message logs with tampered values. In this work, various machine learning algorithms are used to detect the primarily five types of attacks namely, constant attack, constant offset attack, random attack, random offset attack, and eventual attack. Firstly, each attack is detected by different machine learning algorithms using binary classification. Then, the new procedure is created to do the multi classification of the attacks on best chosen algorithm from different machine learning techniques. The highest accuracy in case of binary classification is obtained with Naïve Bayes (100%), decision tree (100%), and random forest (100%) in type1 attack, decision tree (100%) in type2 attack, and random forest (98.03%, 95.56%, and 95.55%) in Type4, Type8 and Type16 attack respectively. In case of new procedure for multi-classification, the highest accuracy is obtained with random forest (97.62%) technique. For this work, VeReMi dataset (a public repository for the malicious node detection in VANETs) is used

Digital library: process, services, challenges and opportunities

If technology push, crashing costs, and global connectivity are the signposts for the coming decade, digital libraries are the next step in the convergence revolution. Digital libraries are innovations, the implementation of which is nascent in the developing countries. However, they hold the promise of becoming key technologies for knowledge creation and management in the future. The purpose of this article is to describe basic concepts, processes and services of digital libraries, discuss challenges and opportunities offered/faced by digital libraries

Simulation of Thin Film Thermocouple for High Temperature Measurement Applicable to Missiles

Thermocouples have been extensively used for the measurement of temperature since the advent of seebeck effect. Numerous sensors have been developed for temperature measurement, yet measurement of high temperature flowing fluid has been a challenging task. For the measurement of static temperature the measuring device should travel with the fluid at the same speed without disturbing the flow, which is quite unrealistic. So indirect determination of static temperature of flowing fluid is done by using thermocouple exposed into the flowing fluid. Other sensors available for high temperature measurement may lead to problems like resistance in the flow path of fluid which changes the structural dynamics. Thin film thermocouple (TFTC) based on W-W26Re for super high temperature measurement has been investigated which can be used in missiles for surface temperature measurement of nozzle and rocket interior surface. TFTC does not cause disruption in the flow path with maintaining structural integrity. The W-W26Re thermocouple offers advantage of higher seebeck coefficient at high temperature i.e. above 750 K, and usability in vacuum, inert and hydrogen atmosphere. Zirconia Fiber has been proposed as insulation protection material over thermocouple. Modelling and simulation of the TFTC for the temperature range 300 K - 2900 K has been presented. FEA model using PDE has been presented to implement heat equation, current balance  quation, Gauss theorem and Neumann boundary condition. The expected voltage production on exposed temperature gradient has been studied

THE EFFECT OF MURCCHITA TILA TAILA BASED PANCHAKARMA PROCEDURE AND BALAPANCHAMRITA YOGA IN THE MANAGEMENT OF CEREBRAL PALSY IN CHILDREN: A SINGLE ARM PROSPECTIVE CLINICAL TRIAL

Cerebral palsy appear in early childhood due to damage of developing parts of the brain that control the movement, balance, posture and other functions of the body. The early diagnosis of CP is based on the symptoms of poor head control, poor coordination, stiff muscles, weak muscle, tremors and gross motor developmental delay. As per Ayurveda, all functional activity of the body is regulated by the Vata Dosha. Vitiated Vata shows same symptoms like cerebral palsy due to its Ruksha, Sheeta and Khara gunas. So that the aim of treatment is to pacifying the vitiated Vata Dosha by Panchakarma procedures with normal Murcchita Tila Taila; and assess their effect on spasticity, range of movement and in quality of life in children. Murcchita Tila Taila shows significant response at the end of trail/therapy. In this study, the effect of Panchakarma therapy with Mucchita Tila Taila has shown 78.58% patients with mild response I and 21.42% patients with mild response II on both Modified Ashworth scale and Gross Motor Function Manual Scale, 85.71% patients with mild response I and 14.29% patient with no response on Quality of life scale