bluuebunny/crossref_metadata_2025 huggingface dataset:
Mentally ill, HIV-positive, or sexual predator? Determining myths perceived as representative of transgender people
Authors: Locantore Dominic C. , Wasarhaley Nesa E.
Published: April 2019

The present study explored possible stereotypical beliefs, or myths, related to prejudice and discrimination toward transgender individuals in the US. In a 5 x 2 x 3 mixed factorial design, Amazon Mechanical Turk workers ( N = 1,450) read a description of a target depicted as a sexual predator, HIV-positive, having a mental illness, an ally of transgender people, or unfair to others. They then completed an intuitive judgment task regarding the target’s gender (male or female) and identity stigma detail (transgender, sexual minority, or no stigmatized detail), and provided feeling thermometer ratings for various groups. Results indicated that participants perceived mental illness as relatively representative of transgender people, but not HIV-status or sexual predation. Feeling thermometer ratings for transgender people were significantly lower than those for other gender/stigma categories and were negatively correlated with participant religiosity and conservatism. We discuss these findings in terms of gendered assumptions and present implications for gender-related stigma and the role of perceived mental illness in antitransgender prejudice.
Mass spectrometry evidence for self-rigidification of π-conjugated oligomers containing 3,4-ethylenedioxythiophene groups using RRKM theory and internal energy calibration
Authors: Rondeau David , Gimbert Yves , Vékey Károly , Dráhos Laszlo , Turbiez Mathieu , Frère Pierre , Roncali Jean
Published: April 2019

The self-rigidification of ionized π-conjugated systems based on two combinations of thiophene (T) and 3,4-Ethylenedioxythiophene (E) is investigated using mass-analyzed ion kinetic energy spectrometry (MIKES) of ions produced from electron impact ionization at 70 eV. The m/z 446 radical cations of the two isomers ETTE and TEET lead to detect m/z 418 and 390 daughter ions. The MIKE spectra differ only by the intensities of these fragment ions. As the m/z 418 daughter ion is produced through a same retro-Diels Alder reaction whatever the fragmenting isomer, the difference in daughter ion intensities is interpreted in term of unimolecular dissociation rate constants ( k( Eint)) ratios. Considering that the transition state (TS) of such reaction is attributed to a quinoid form, equivalent vibration modes are assumed for the TS of both dissociating ETTE and TEET radical cations. As a result, by using the Rice–Ramsperger–Kassel–Marcus (RRKM) theory, the difference in daughter ion intensities is interpreted by considering that the fragmenting ion is more or less ordered in its ground state than at the transition state, resulting from the influence of the number of the S…O interactions in the planarization of the TEET ion toward the ETTE charged species. The comparison of this behavior in MIKES experiments is supported by the modeling of ion behavior in mass spectrometer and the calibration in internal energy of the radical cations produced in an EI source.
‘I don’t feel like I’m in this on my own’: Peer support for mothers of children with intellectual disability and challenging behaviour
Authors: Dew Angela , Collings Susan , Dowse Leanne , Meltzer Ariella , Smith Louisa
Published: April 2019

This article reports on the peer support experiences of mothers with a son or daughter with intellectual disability and challenging behaviour. Engagement in parent peer support programs can improve family quality of life and may have multifaceted benefits at the interpersonal, intra-individual self-change and sociopolitical levels. Thirteen mothers were interviewed about their experiences of participating in a parent peer support program. Thematic analysis focused on the process elements of the program that contributed to its effectiveness in providing support to parents. There were three process-related themes: the role of a paid coordinator, diversity of engagement strategies and matching of peer support partners. Mothers appreciated the opportunities provided to engage in a range of strategies tailored to individual preferences, time and capacity constraints, supported by the paid coordinator. One-to-one peer support proved difficult to sustain given the challenges mothers faced in their day-to-day lives.
Delivering perioperative care and education in Kenya
Authors: Rich Chloe
Published: April 2019

The purpose of the Hilda Mears’ Volunteer Award is to help members share their knowledge and skills with other voluntary organisations who facilitate direct patient care to overseas patients where access to free quality healthcare is not available. Two awards are presented each year by AfPP at the annual Residential Conference in August.
Intensive care for organ preservation: A four-stage pathway
Authors: Gardiner Dale , Shaw David M , Kilcullen Jack K , Dalle Ave Anne L
Published: April 2019

Objective

Intensive care for organ preservation (ICOP) is defined as the initiation or pursuit of intensive care not to save the patient's life, but to protect and optimize organs for transplantation.

Analysis

When a patient has devastating brain injury that might progress to organ donation this can be conceptualized as evolving through four consecutive stages: (1) instability, (2) stability, (3) futility and (4) finality. ICOP might be applied at any of these stages, raising different ethical issues. Only in the stage of finality is the switch from neurointensive care to ICOP ethically justified.

Conclusion

The difference between the stages is that during instability, stability and futility the focus must be neurointensive care which seeks the patient's recovery or an accurate neurological prognostication, while finality focuses on withdrawal of life-sustaining therapy and commencement of comfort care, which may include ICOP for deceased donation.
The Fourth Industrial Revolution and Its Implications for Regional Economic Integration in ASEAN
Authors: Menon Jayant , Fink Anna
Published: April 2019

This article explores the impact of the Fourth Industrial Revolution (4IR) on the Association of Southeast Asian Nations (ASEAN). It argues that technologies of the 4IR can bring huge benefits such as empowerment for small- and medium-sized enterprises and opportunities for countries to leapfrog traditional pathways of development. It will also bring tremendous challenges such as deep disruption to labour markets and the potential of rising inequality. To address the challenges and seize the opportunities of the 4IR, ASEAN will need a new way of formulating policy and regulation that will require: (a) evolution of the ASEAN Secretariat to become a ‘platform organisation’, (b) greater delegation of key activities to affiliated functional bodies, (c) a shift from long-term blueprints to three-year rolling plans, (d) democratise and decentralise and (e) establish multi-country test beds.

JEL Codes: F14, F15
Reducing tuberculosis transmission: a consensus document from the World Health Organization Regional Office for Europe
Authors: Migliori Giovanni Battista , Nardell Edward , Yedilbayev Askar , D'Ambrosio Lia , Centis Rosella , Tadolini Marina , van den Boom Martin , Ehsani Soudeh , Sotgiu Giovanni , Dara Masoud
Published: April 2019

Evidence-based guidance is needed on 1) how tuberculosis (TB) infectiousness evolves in response to effective treatment and 2) how the TB infection risk can be minimised to help countries to implement community-based, outpatient-based care.

This document aims to 1) review the available evidence on how quickly TB infectiousness responds to effective treatment (and which factors can lower or boost infectiousness), 2) review policy options on the infectiousness of TB patients relevant to the World Health Organization European Region, 3) define limitations of the available evidence and 4) provide recommendations for further research.

The consensus document aims to target all professionals dealing with TB (e.g. TB specialists, pulmonologists, infectious disease specialists, primary healthcare professionals, and other clinical and public health professionals), as well as health staff working in settings where TB infection is prevalent.
Targeting TMEM16A to reverse vasoconstriction and remodelling in idiopathic pulmonary arterial hypertension
Authors: Papp Rita , Nagaraj Chandran , Zabini Diana , Nagy Bence M. , Lengyel Miklós , Skofic Maurer Davor , Sharma Neha , Egemnazarov Bakytbek , Kovacs Gabor , Kwapiszewska Grazyna , Marsh Leigh M. , Hrzenjak Andelko , Höfler Gerald , Didiasova Miroslava , Wygrecka Malgorzata , Sievers Laura K. , Szucs Peter , Enyedi Péter , Ghanim Bahil , Klepetko Walter , Olschewski Horst , Olschewski Andrea
Published: April 2019

Our systematic analysis of anion channels and transporters in idiopathic pulmonary arterial hypertension (IPAH) showed marked upregulation of the Cl−channel TMEM16A gene. We hypothesised that TMEM16A overexpression might represent a novel vicious circle in the molecular pathways causing pulmonary arterial hypertension (PAH).

We investigated healthy donor lungs (n=40) and recipient lungs with IPAH (n=38) for the expression of anion channel and transporter genes in small pulmonary arteries and pulmonary artery smooth muscle cells (PASMCs).

In IPAH, TMEM16A was strongly upregulated and patch-clamp recordings confirmed an increased Cl−current in PASMCs (n=9–10). These cells were depolarised and could be repolarised by TMEM16A inhibitors or knock-down experiments (n=6–10). Inhibition/knock-down of TMEM16A reduced the proliferation of IPAH-PASMCs (n=6). Conversely, overexpression of TMEM16A in healthy donor PASMCs produced an IPAH-like phenotype. Chronic application of benzbromarone in two independent animal models significantly decreased right ventricular pressure and reversed remodelling of established pulmonary hypertension.

Our findings suggest that increased TMEM16A expression and activity comprise an important pathologic mechanism underlying the vasoconstriction and remodelling of pulmonary arteries in PAH. Inhibition of TMEM16A represents a novel therapeutic approach to reverse remodelling in PAH.
The cumulative effect of inflammation and infection on structural lung disease in early cystic fibrosis
Authors: Rosenow Tim , Mok L. Clara , Turkovic Lidija , Berry Luke J. , Sly Peter D. , Ranganathan Sarath , Tiddens Harm A.W.M. , Stick Stephen M.
Published: April 2019

Introduction

Pulmonary inflammation and infection are important clinical and prognostic markers of lung disease in cystic fibrosis (CF). However, whether in young children they are transient findings or have cumulative, long-term impacts on respiratory health is largely unknown. We aimed to determine whether theirrepeateddetection has a deleterious effect on structural lung disease.

Methods

All patients aged <6 years with annual computed tomography (CT) and bronchoalveolar lavage (BAL) were included. Structural lung disease on CT (%Disease) was determined using the PRAGMA-CF (Perth–Rotterdam Annotated Grid Morphometric Analysis for CF) method. The number of times free neutrophil elastase (NE) and infection were detected in BAL were counted, to determine cumulative BAL history. Linear mixed model analysis, accounting for repeat visits and adjusted for age, was used to determine associations.

Results

265 children (683 scans) were included for analysis, with BAL history comprising 1161 visits. %Disease was significantly associated with the number of prior NE (0.31, 95% CI 0.09–0.54; p=0.007) but not infection (0.23, 95% CI −0.01–0.47; p=0.060) detections. Reference equations were determined.

Conclusions

Pulmonary inflammation in surveillance BAL has a cumulative effect on structural lung disease extent, more so than infection. This provides a strong rationale for therapies aimed at reducing inflammation in young children.
Pulmonary arterial pressure at rest and during exercise in chronic mountain sickness: a meta-analysis
Authors: Soria Rodrigo , Egger Matthias , Scherrer Urs , Bender Nicole , Rimoldi Stefano F.
Published: April 2019

Up to 10% of the more than 140 million high-altitude dwellers worldwide suffer from chronic mountain sickness (CMS). Patients suffering from this debilitating problem often display increased pulmonary arterial pressure (PAP), which may contribute to exercise intolerance and right heart failure. However, there is little information on the usual PAP in these patients.

We systematically reviewed and meta-analysed all data published in English or Spanish until June 2018 on echocardiographic estimations of PAP at rest and during mild exercise in CMS patients.

Nine studies comprising 287 participants fulfilled the inclusion criteria. At rest, the point estimate from meta-analysis of the mean systolic PAP was 27.9 mmHg (95% CI 26.3–29.6 mmHg). These values are 11% (+2.7 mmHg) higher than those previously meta-analysed in apparently healthy high-altitude dwellers. During mild exercise (50 W) the difference in mean systolic PAP between patients and high-altitude dwellers was markedly more accentuated (48.3versus36.3 mmHg) than at rest.

These findings indicate that in patients with CMS PAP is moderately increased at rest, but markedly increased during mild exercise, which will be common with activities of daily living.
Bone Marrow Adiposity: Basic and Clinical Implications
Authors: Sebo Zachary L , Rendina-Ruedy Elizabeth , Ables Gene P , Lindskog Dieter M , Rodeheffer Matthew S , Fazeli Pouneh K , Horowitz Mark C
Published: April 2019

The presence of adipocytes in mammalian bone marrow (BM) has been recognized histologically for decades, yet, until recently, these cells have received little attention from the research community. Advancements in mouse transgenics and imaging methods, particularly in the last 10 years, have permitted more detailed examinations of marrow adipocytes than ever before and yielded data that show these cells are critical regulators of the BM microenvironment and whole-body metabolism. Indeed, marrow adipocytes are anatomically and functionally separate from brown, beige, and classic white adipocytes. Thus, areas of BM space populated by adipocytes can be considered distinct fat depots and are collectively referred to as marrow adipose tissue (MAT) in this review. In the proceeding text, we focus on the developmental origin and physiologic functions of MAT. We also discuss the signals that cause the accumulation and loss of marrow adipocytes and the ability of these cells to regulate other cell lineages in the BM. Last, we consider roles for MAT in human physiology and disease.
Differential RA responsiveness directs formation of functionally distinct spermatogonial populations at the initiation of spermatogenesis in the mouse
Authors: Velte Ellen K. , Niedenberger Bryan A. , Serra Nicholas D. , Singh Anukriti , Roa-DeLaCruz Lorena , Hermann Brian P. , Geyer Christopher B.
Published: April 2019

In the mammalian testis, sustained spermatogenesis relies on spermatogonial stem cells (SSCs); their progeny either remain as stem cells (self-renewal) or proliferate and differentiate to enter meiosis in response to retinoic acid (RA). Here, we sought to uncover elusive mechanisms regulating a key switch fundamental to spermatogonial fate: the capacity of spermatogonia to respond to RA. Using the developing mouse testis as a model, we found that spermatogonia and precursor prospermatogonia exhibit a heterogeneous capacity to respond to RA with at least two underlying causes. First, progenitor spermatogonia are prevented from responding to RA by catabolic activity of cytochrome P450 family 26 enzymes. Second, a smaller subset of undifferentiated spermatogonia enriched for SSCs exhibit catabolism-independent RA insensitivity. Moreover, for the first time, we observed that precursor prospermatogonia are heterogeneous and comprise subpopulations that exhibit the same differential RA responsiveness found in neonatal spermatogonia. We propose a novel model by which mammalian prospermatogonial and spermatogonial fates are regulated by their intrinsic capacity to respond (or not) to the differentiation signal provided by RA before, and concurrent with, the initiation of spermatogenesis.
Interactive Virtual Reality Reduces Quadriceps Pain during High-Intensity Cycling
Authors: WENDER CARLY L. A. , AHN SUN JOO , O’CONNOR PATRICK J.
Published: April 2019

Purpose

Brief, high-intensity cycling is popular because physiological benefits accrue with a short workout time, but burning pain in the quadriceps is a potential barrier to engaging in this type of exercise. Virtual reality (VR) can temporarily decrease pain, but its effect on muscle pain during high-intensity exercise is unknown. The primary purpose of this experiment was to test whether adding interactive VR (I-VR) to high-intensity cycling could reduce quadriceps pain or improve performance.

Methods

Ninety-four adults who were physically active in their leisure time and age 18 to 29 yr completed three 30-s sprint interval cycling trials at a high resistance (0.085- and 0.075-kg resistance to the flywheel per kilogram body weight for men and women, respectively). In this randomized between-subject experiment, participants cycled while wearing a head-mounted display and viewing either (i) a dynamically changing cityscape perceived as interactively cycling through a virtual city (I-VR group) or (ii) a static picture of the cityscape with instructions to mentally imagine cycling through that city (static VR/motor imagery control group).

Results

Sphericity-adjusted 2 × 3 (group–time) ANOVA revealed a significant group–time interaction (F = 4.568; df = 1.499, 133.301; η
p
2 = 0.047, P = 0.021) for pain intensity. With I-VR, pain intensities were 13.3% (mean, 4.60 vs 5.31; d = 0.28) and 11.8% (mean, 5.68 vs 6.44; d = 0.27) lower at sprint trials 2 and 3, respectively. The group–time interaction (P = 0.412) was not significant for total work.

Conclusion

Compared with a static VR/motor imagery control condition, I-VR during brief, high-intensity, fatigue-inducing leg cycling attenuates quadriceps pain intensity without reducing performance.
SCIENCE AND HOMOSEXUALITY: POLITICAL BIAS IN MODERN ACADEMIA
Authors: Lysov Viktor Grigorievitsch
Published: April 2019

Такие заявления, как «генетическая причина гомосексуализма доказана» или «гомосексуальное влечение невозможно изменить» регулярно выдвигаются на научно-популярных образовательных мероприятиях и в сети Интернет, предназначенных, в том числе, и для научно неискушенных людей. В этой статье я продемонстрирую, что в современном научном сообществе доминируют люди, которые проецируют свои общественно-политические взгляды в свою научную деятельность, делая научный процесс сильно предвзятым. Эти проецируемые взгляды включают в себя спектр политических заявлений, в том числе в отношении т.н. «сексуальных меньшинств», а именно, что «гомосексуализм является нормативным вариантом сексуальности среди людей и животных», что «однополое влечение является врожденным и не может быть изменено», «пол является социальной конструкцией, не ограничивающейся бинарной классификацией» и т.д. и т.п. Я продемонстрирую, что такие взгляды в современных научных кругах на Западе считаются ортодоксальными, устойчивыми и устоявшимися, даже при отсутствии убедительных научных данных, тогда как альтернативные взгляды сразу же помечаются как «псевдонаучные» и «ложные», даже если за ними стоит убедительная фактология. В качестве причины подобной предвзятости можно упомянуть множество факторов – драматическое социальное и историческое наследие, которое привело к появлению «научных табу», интенсивную политическую борьбу, которая породила лицемерие, «коммерциализацию» науки, ведущую к погоне за сенсациями, и т.д. Возможно ли полностью избежать предвзятости в науке, остается спорным вопросом. Однако, представляется возможным создать условия для оптимального равноудаленного научного процесса.
Reviews
Authors: Sander Chiara , Macadam Cynthia , Lennon Elaine , Chen Shaopeng
Published: April 2019

How to Write for Television, 7th ed., William Smethurst (2016) London: Little, Brown Book Group, 288 pp., ISBN-10 147-2-13573-3, ebook, $6.99; ISBN-13 978-1-47213-573-5, p/bk, $18.64

Just the Funny Parts: ... and a Few Hard Truths About Sneaking into Hollywood’s Boys Club, Nell Scovell (2018) Foreword by Sheryl Sandberg, New York: Dey Street Books, 336 pp., ISBN-13 978-0-06247-348-6, h/bk, $16.44;

Screenwriting: The Sequence Approach, The Hidden Structure of Successful Screenplays, Paul Gulino (2004) New York and London: Continuum, 19 illustrations, 248 pp., ISBN-13 978-0-82641-568-4, p/bk, $26.95

Animation in Context: A Practical Guide to Theory and Making, Mark Collington (2017) London and New York: Bloomsbury, 278 pp., ISBN 978-1-47257-828-0, p/bk, £34.99; ISBN 978-1-35003-389-4, e-book, £37.78
Colonizing, decolonizing: Bad-faith liberalism and African space colonialism in Doris Lessing’s screenplay The White Princess
Authors: Arnett James
Published: April 2019

Although Doris Lessing frequently wrote about Africa over the course of her career, and her relationship to colonialism is undeniably critical, changing theoretical paradigms have complicated readings of her anticolonial critique. From a treasure trove of unpublished African material contained in her papers at the Harry Ransom Center Archives at the University of Texas, this article looks at one of her unpublished screenplays, The White Princess, as a complex and fraught attempt to generate an ethos of decolonization well in advance of its contemporary, post-postcolonial preeminence in twenty-first-century theoretical discourse. Lessing’s positing of a speculative future African recolonization of Britain would have emerged into a smattering of British speculative fictions of the late 1960s and 1970s that likewise imagined African colonialism, but did so, this article argues, hampered by a bad-faith liberalism. Despite the subversive potential of exploring inverted colonial dynamics, this article argues that Lessing ultimately cannot break free of generic conventions, political and theoretical limitations, or colonial discursive structures to achieve real decolonization work in The White Princess – although she may succeed elsewhere in her oeuvre.
More therapy with Dr Melfi (the character who guides viewer engagement with Tony Soprano): Relationship arcs in serial antihero narratives
Authors: Canet Fernando
Published: April 2019

Antihero narratives constitute a common thread in the current boom of TV fiction. The Sopranos (HBO, 1999–2007) could be considered an early example of this tendency. The antihero is a complex character who demands equally complex responses from viewers. The title of this article is an allusion to Rob White’s article, ‘No more therapy’, in which White explores Dr Jennifer Melfi’s role as a narrative mechanism used to undermine viewer sympathy for Tony Soprano at the end of the series. Here I seek to explore this role further since Dr Melfi’s responses to Tony’s actions serve as a narrative strategy used by The Sopranos writers to guide viewer responses in their relationship with Tony Soprano, a pioneer example of the antihero figure. In doing so, it is my purpose to demonstrate the relevance in antihero TV series of the evolution not only of the antihero themselves but also of their relationship with other major characters over the course of the series. I call this evolution, through which the creators develop the transformational arcs of the two characters concerned: the ‘relationship arc’.
Habitação Social e participação popular: um estudo sobre as diretrizes do Programa Minha Casa Minha Vida
Authors: Cardoso da Silva Douglas
Published: April 2019

Este estudo procura analisar as possibilidades de participação popular no Programa Minha Casa Minha Vida. Tendo por base a análise dos documentos oficiais que definem as diretrizes de implementação do programa, buscamos destacar o papel designado ao futuro morador e os meios que possibilitariam sua participação. Consideramos que eles são extremamente reduzidos, o que evidencia o papel passivo destinado ao público alvo, uma vez que a menção à sua possível participação se encontra limitada a apenas um dos itens do programa: o trabalho social, cujo poder de alcance também é restrito. Assim, apesar dos seus méritos, o Programa Minha Casa Minha Vida permanece dominado por uma dinâmica burocrática e autoritária que impede qualquer protagonismo dos moradores: real obstáculo à superação da desigualdade política.
Relações entre esquemas de gênero e estresse em adolescentes do sexo feminino
Authors: Barcelos Sérgio Cardoso , Silva Jorge Luiz da , Oliveira Wanderlei Abadio de , Bittar Cléria Maria Lobo
Published: April 2019

Esse estudo objetivou identificar diferenças entre os perfis de esquema de gênero e estresse entre adolescentes do sexo feminino. Participaram da pesquisa 93 adolescentes do sexo feminino (idade média 16 anos; desvio padrão 0,8 anos) estudantes do Ensino Médio Profissional de uma cidade do interior de Minas Gerais. A coleta de dados ocorreu por meio da aplicação dos instrumentos: Inventário Feminino dos Esquemas de Gênero do Autoconceito e Escala de Stress para Adolescentes. Análises estatísticas (descritivas, ANOVA e post hoc de Bonferroni) foram realizadas no programa SAS. Os resultados indicaram que 11,8% do total de participantes foram classificadas com estresse, sendo os maiores percentuais entre as meninas heteroesquemáticas masculinas e as heteroesquemáticas femininas. Do total de participantes, 11,8% foram classificadas com estresse. Os maiores percentuais localizaram-se nos perfis heteroesquemático masculino (33,3%) e heteroesquemático feminino (33,3%). Notou-se que o perfil heteroesquemático masculino foi o mais vulnerável para a ocorrência de sintomas interpessoais de estresse, em comparação com os perfis: isoesquemático e heteroesquemático feminino. Concluiu-se que os estereótipos de gênero favorecem a vulnerabilidade individual para o estresse e suas diferentes formas de manifestação.
Cenários sustentáveis para a macrometrópole paulista
Authors: Demanboro Antonio Carlos , Fabiano Braulio , Bettine Sueli Do Carmo , Longo Regina Marcia
Published: April 2019

A Macrometrópole Paulista (MMP) compreende três Regiões Metropolitanas do Estado de São Paulo: a Região Metropolitana de São Paulo (RMSP), a Região Metropolitana de Campinas (RMC) e a Região Metropolitana da Baixada Santista (RMBS), além de suas áreas de influência. Abriga cerca de 30 milhões de habitantes e é uma das áreas mais críticas em termos de demanda e disponibilidade de recursos hídricos. O Objetivo é propor cenários alternativos, que visem o planejamento ambiental integrado das bacias que compõem a MMP, a saber: Alto Tietê; Piracicaba, Capivari e Jundiaí; Sorocaba e Paraíba do Sul. A metodologia utilizada baseou-se no modelo Pressão-Estado-Resposta proposto pela OECD (1993; 2003), com base na seleção de indicadores, considerando a relevância política, utilidade aos usuários, confiabilidade e mensurabilidade de cada indicador. Para a execução do diagnóstico ambiental foram selecionados os indicadores demanda, disponibilidade, área florestada, qualidade da água e índice de perdas na distribuição, permitindo a representação das bacias e subsidiando a elaboração dos cenários. Os cenários elaborados (Tendencial, Desenvolvimento Sustentável e Conservação) simularam a evolução dos indicadores em diferentes situações, propondo medidas de priorização de investimentos e de gestão dos recursos hídricos. Dessa forma, foi possível propor ações que busquem garantir a sustentabilidade das bacias que compõem a MMP.
Optimizing best cloud service using the Bayesian personalized ranking framework
Authors: Yuvaraj G , Nizar Ahamed M , Siva Rama Lingham N , Jayaprakash D
Published: April 2019

Cloud computing has gaineda largest amountof popularity, Since the computing resources can be utilized in efficient manner. In other case it offers increased size in terms of flexibility and efficiency. The Cloud market has witnessed a vastincrease in the number of different cloud services, and then the best and optimal service can be selected by CSP. In our proposed system, we are using Bayesian algorithm to develop raking framework for QOS predication and based on this different CSP can be selected to offer the appropriate services based on the QOS requirement from the user. Based on the predicted analysis, the best CSP will be marked with a Ranking framework, according to which the Services will be directed to the users.
Detecting malicious nodes using data aggregation protocols in wireless sensor networks
Authors: Balamurugan P. , Devi M. Shyamala , Sharmila V.
Published: April 2019

At present scenario, sensor devices are used in various fields for gathering information so all those data should be secured safely. Securing data is an important role in Wireless Sensor Networks (WSN). WSN is extremely essential for the purpose of reducing the complete redundancy and energy consumption during gathering data among sensor nodes. Optimized data aggregation is needed at cluster head and Base Station (BS) for secured data transmission. Data aggregation is performed in all routers while forwarding data from source to destination node. The complete life time of sensor networks is reducing because of using energy inefficient nodes for the purpose of aggregation. So this paper introduces the optimized methods for securing data (OMSD) which is trust based weights and also completely about the attacks and some methods for secured data transmission.
Flower image classification with basket of features and multi layered artificial neural networks
Authors: Inthiyaz Syed , T.P.Madhav B , Raghava Prasad Ch
Published: April 2019

Artificial intelligence is penetrating most of the classification and recognition tasks performed by a computer. This work proposes to classify flower images based on features extracted during segmentation and after segmentation using multiple layered neural networks. The segmentation models used are watershed, wavelet, wavelet fusion model, supervised active contours based on shape, color and Local binary pattern textures and color, fused textures based active contours. Multi-dimension feature vectors are constructed from these segmented results for each indexed flower image labelled with their name. Each feature becomes input to a neuron in various feature layers and error back propagation algorithm with convex optimization structure trains these multiple feature layers. Testing with different flower images sets from multiple sources resulted in average classification accuracy of 92% for shape, color and texture supervised active contour segmented flower images.
Plan and analysis of synchronous buck converter for UPS application
Authors: Sreedhar Jadapalli , Basavaraja B
Published: April 2019

DC-DC converters occupies very significant role in the field of industries or daily life applications. To charge batteries of low voltage connected to uninterrupted power supply (UPS), DC-DC converters are needed. Batteries requires low voltage and the available voltage at the source is to be step-down to the required level of voltage at the point of utility (PoU). While designing DC-DC converters, efficiency and simplicity of the circuit is very much important. Simply for the UPS applications, Buck converter can deliver the voltage at required level which is very simple in operation but the increased losses in diode can be addresses by using a synchronous Buck converter. By using synchronous Buck converter, the diode conduction losses in Buck converter can be minimized, thus improving the efficiency of the converter. In this paper, Synchronous Buck converter is used to charge the batteries of UPS. In this paper Design, modeling of synchronous Buck converter for UPS application was done and its results were obtained by using Matlab/Simulink. A hardware prototype was also developed and the hardware results were also shown.
Implementation of conventional communication system in deep learning
Authors: P Satyanarayana , Devi. V Charishma , P Sowjanya , Babu Satish , Syam Kumar N , N. V. S M
Published: April 2019

Machine learning (ML) has been broadly connected to the upper layers of communication systems for different purposes, for example, arrangement of cognitive radio and communication network. Nevertheless, its application to the physical layer is hindered by complex channel conditions and constrained learning capacity of regular ML algorithms. Deep learning (DL) has been as of late connected for some fields, for example, computer vision and normal dialect preparing, given its expressive limit and advantageous enhancement ability. This paper describes about a novel use of DL for the physical layer. By deciphering a communication system as an auto encoder, we build up an essential better approach to consider communication system outline as a conclusion to-end reproduction undertaking that tries to together enhance transmitter and receiver in a solitary procedure. This DL based technique demonstrates promising execution change than traditional communication system.
EMG extractor and blink detection for human health monitoring
Authors: Jha Aanchal , Kumar M. Ganesh Lakshamana
Published: April 2019

In this paper we have proposed noise free EMG extractor for biomedical applications and also provide method for detecting blink signal. EMG signal is applied to preamplifier followed by Chebyshev filter and programmable gain amplifier further this processed EMG signal is applied to comparator to detect the blink. This topology is designed in UMC 180nm CMOS technology. Amplifier with gain of 81.155 dB and CMRR of 155.197 dB is designed. Preamplifier gain of 32.1244 dB with CMRR of 76.0743 dB which leads to common mode cancellation at priliminary stage. It also provide input referred noise ranges from 90 to 101.8636 µ V/sqrt(Hz) to reduce the noise for overall system. 4th order Chebyshev filter provides filtering with slope of -80 dB/decade with leads to reduce the unwanted signals. Filtered EMG signal is applied to programmable gain amplifier where gain ranges from 0 to 23 dB.It consumes power of 0.3µ W at 1V supply voltage.
A swift unrest horde system for curtail SDO hit in cloud computing
Authors: Ravikumar S , Kannan E
Published: April 2019

One of the immense risk to benefit accessibility in distributed computing is Distributed Denial of Service. Here a novel approach has been proposed to limit SDO [Strewn Defiance of Overhaul] assaults. This has been wanted to accomplish by a canny quick motion horde organize. An astute horde arrange is required to guarantee independent coordination and portion of horde hubs to play out its handing-off tasks. Clever Water Drop calculation has been adjusted for appropriated and parallel advancement. The quick motion system was utilized to keep up availability between horde hubs, customers, and servers. We have intended to reproduce this as programming comprising of different customer hubs and horde hubs
A shoulder surfing resistance using graphical authentication system
Authors: N Rupavathy , Mary Belinda M. J Carmel , G Nivedhitha
Published: April 2019

Authentication supported passwords is employed mostly in applications for laptop security and privacy. However, human actions like selecting unhealthy passwords and inputting passwords in an insecure approach are considered “the weakest link” within the authentication chain. Instead of impulsive alphanumerical strings, users tend to decide on passwords either short or purposeful for simple learning. With internet applications and mobile apps piling up, individuals will access these applications any time and any place with  numerous devices. This evolution brings nice convenience however additionally will increase the chance of exposing passwords to shoulder surfing attacks. Attackers will observe directly or use external recording devices to gather users’ credentials. To overcome this drawback, we tend to plan a unique authentication system Pass Matrix, supported graphical passwords to resist shoulder surfing attacks. With a one-time valid login indicator and circulatory horizontal and vertical bars covering the  complete scope of pass-images, Pass Matrix offers no hint for attackers to work out or slim down the password even they conduct multiple camera-based attacks. We tend to additionally enforce a Pass Matrix image on android and applied real user experiments to judge   its memorability and usefulness. From the experimental result, the proposed system achieves higher resistance shoulder surfing attacks whereas maintaining usability.
Survey to improve accessibility for person with disabilities
Authors: D Manivannan , N.K Manikandan , Kumar K Kishore
Published: April 2019

Accessibility is a concept that cuts across disciplines and refers to the design of products, devices, services, or environments for Persons with Disabilities (PwDs). A central feature of the rights-based approach to disability, accessibility as a concept emphasizes the role that society, the built environment and societal attitudes play in making PwDs feel disabled and places the onus of securing the rights of PwDs on the state. The recognition of the role that the state must play in securing the rights of PwDs has led to the near universal adoption of the United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) and in turn, has led to a number of changes in the policies of state parties
A Study on machine learning methods and applications in genetics and genomics
Authors: Jayanthi K , Mahesh C
Published: April 2019

Machine learning enables computers to help humans in analysing knowledge from large, complex data sets. One of the complex data is genetics and genomic data which needs to analyse various set of functions automatically by the computers. Hope this machine learning methods can provide more useful for making these data for further usage like gene prediction, gene expression, gene ontology, gene finding, gene editing and etc. The purpose of this study is to explore some machine learning applications and algorithms to genetic and genomic data. At the end of this study we conclude the following topics classifications of machine learning problems: supervised, unsupervised and semi supervised, which type of method is suitable for various problems in genomics, applications of machine learning and future views of machine learning in genomics.
An analysis of brain neoplasm identification by employing data mining methods
Authors: Sujeetha Lakshmi D , G Tamilmani
Published: April 2019

Data mining is a prevailing way for mining constructive models or information from illustration and relating to data exercises. Medical data mining is awfully significant field as it has considerable efficacy in healthcare field in the factual life. Clustering and Classification are the accepted data mining ways employed to appreciate the dissimilar characteristics of the health data exercise. This manuscript is paying attention on considerate diverse proficiencies for the recognition of brain neoplasm which is an indispensable resolution building characteristic and is a ingredient of healthcare appliance. Brain tumor is an existence frightening bug which develops difficulties like brain injure, amnesia etc. There subsist a range of data mining proficiencies for premature review of brain neoplasm from raked brain metaphors. The chief scheme of this manuscript is to here an indication about brain neoplasm recognition method and a range of data mining procedures adopted in this structure.
Secure, Peer-To-Peer, lossless configurations
Authors: G Tamilmani , R Rajathi , Thanjaivadivel M
Published: April 2019

Investigators agree that homogeneous computations are a captivating new subject in the field of applies self-rule, and experts concur. In this work, we show the impression of multi-processors. Andean Rimer, our new technique for the examination of Boolean method of reasoning, is the response for these challenges.
Fuzzy Logic Based Interline Unified Power Quality Conditioner for Voltage Regulation of Critical Load Bus
Authors: Nithya Sree N , Srinivasa Varma P
Published: April 2019

Interline unified power quality conditioner is the recent advancement in the world of FACTS devices and technology. The new equipment is only a mere extension of the existing FACTS device features  like Distributed Static Compensator which does not limit to better voltage regulation at the gird side as well as load side bus. The effectiveness of the new FACTS device is compared with its homologous counterpart, namely conventional Unified power quality conditioner. It is observed that there is significant difference with respect to the arrangement of parallel and series connected converters. Soft computing technique namely fuzzy logic based controller for the proposed Interline unified power quality conditioner is presented in the paper. The implementation and usefulness of the proposed control topology is tested and simulated in MATLAB/SIMULINK environment.
Improvement of Solar Energy System Under Partial Shading Conditions in Koneru Lakshmaiah Education Foundation
Authors: Bhargavi B , Linga Reddy P
Published: April 2019

This paper consists of grid connected Solar photovoltaic (SPV) system. An output of SPV depends on the irradiation and temperature. Sometimes PV module is shaded due to nearby buildings, passing clouds etc. Power extracted from such partially shaded PV array is reduced. . The PV system at KLEF deemed to be university is considered. Total Harmonic Distortion (THD) and the output powers  are  computed using Matlab/Simulink using LC filter .These are compared with the actual values measured from the existing system . It is found that percentage of THD is reduced.
Observation of P-V And I-V Characteristics Before and After Partial Shadow Effect on Photovoltaic Array Using Boost Converter
Authors: Ajay Kumar J , Sai Sourav T , P. Prasad Rao K
Published: April 2019

The fundamental power generation unit for photovoltaic is solar PV module. The staging of PV array pivot on environmental conditions like operating temperature, solar heatstroke, array layout. PV line-up get partial shadow effect due to shadow of trees, poles, buildings…etc. Under such conditions the array gets more complicated and it will have spare than one alp. It is very dominant to forecast the attributes of PV array under partial shadow effect to procure maximal power. More distant hotspots, discrepancy losses will occur as well as these lead to certainty and constancy problems. It is still more extortionate and difficult to get control pivot of P-V and I-V under partial shadow effect. Sun Power SPR-305-WHT-U solar panel is taken as reference and the learning cornerstone on output power peak at different solar irradiation levels. This paper also deals with the importance of bypass diodes
Rotor Suspension and Stabilization of Bearingless SRM using Sliding Mode Controller
Authors: V.S.Sobhan Polamraju. , V. Nagesh Kumar G , V. Ramana Rao P
Published: April 2019

Motors working in extreme conditions such as ultra high and low temperatures, high contamination, high purity etc. require high maintenance of mechanical bearings and the regular lubrication. Hence there is a need of a motor without mechanical bearings and lubrication in addition to simple in control and less maintenance. There by, bearingless motors (BLMs) gain more attention. The bearingless switched reluctance motor’s (BLSRM)  is simple in construction and economical in addition to high speed capacity and high torque to inertia ratio. The magnetic nonlinearity arising due to double salient structure makes rotor eccentric displacement control and speed regulation complicate and needs robust control methodology such as sliding mode control (SMC) which has integrity, high certainty and rapid dynamic response when compared to typical controllers. Sliding mode can be realized with distinct classical reaching laws. This paper presents design and implementation of a SMC for a 12/14 BLSRM and the dynamic performance is endorsed by simulation using Matlab software.
Security strategies for cloud identity management - a study
Authors: Chunduru Anilkumar , S Sumathy
Published: April 2019

Emphasis on security for providing Access Control in Cloud computing environment plays a significant role. Cloud computing provides number of benefits such as resource sharing, low speculation and large storage space. Huge amount of information stored in cloud can be accessed from anywhere, anytime on pay-per use basis. Resources in cloud should be accessed only by the authorized clients. Access Control in cloud computing has become a critical issue due to increasing number of users experiencing dynamic changes. Authentication, authorization and approval of the access ensuring liability of entities from login credentials including passwords and biometric scan is essential. Also, the federated authentication management is secured. Current approaches require large-scale distributed access control in cloud environment. Data security and access control are the drawbacks in existing access control schemes. Due to the drawbacks in existing access control schemes such as privacy of information when susceptible information is stored in intermediary service provider a federated identity access management is essential. Access control applications majorly concentrate on Healthcare, Government Organizations, Commercial, Critical Infrastructure and Financial Institutions. This review illustrates a detailed study of access control models in cloud computing and various cloud identity management schemes.
A study on searchable encryption schemes
Authors: Buchade Sunitha , Devale P.R.
Published: April 2019

To manage large volume of data, most of the organizations and data owners outsource their data to remote cloud storage servers. Since the remote servers are untrusted party, the data has to be encrypted to achieve security and privacy. But encryption and decryption causes communication overhead for many data utilization operations like searching and updating. To overcome this contradiction, searchable encryption notion was introduced. Searchable encryption (SE) is an ability of a server to search upon the ciphertext and retrieve the data without decrypting it. By searching on the ciphertext it protects the user’s tactful data. This article concentrates on study of various resil-ient keyword search schemes in area of Cloud SE. The main basis for SE evolution is attaining the challenging task of efficient enci-phered data utilization with privacy check. Thus schemes are developed considering their search capability, efficiency and security. In this paper we summarize and analyze various available keyword searchable schemes based on query expressiveness and query correct-ness. We review articles which have extensively researched in the field of SE with various keyword search schemes.
Optimized artificial neural network for classification of biological data
Authors: Natarajan Senthilselvan , S Rajarajan , V Subramaniyaswamy
Published: April 2019

Biological data suffers from the problem of high dimensionality which makes the process of multi-class classification difficult and also these data have elements that are incomplete and redundant. Breast Cancer is currently one of the most pre-dominant causes of death in women around the globe. The current methods for classifying a tumour as malignant or benign involve physical procedures. This often leads to mental stress. Research has now sought to implement soft computing techniques in order to classify tumours based on the data available. In this paper, a novel classifier model is implemented using Artificial Neural Networks. Optimization is done in this neural network by using a meta-heuristic algorithm called the Whale Swarm Algorithm in order to make the classifier model accurate. Experimental results show that new technique outperforms other existing models.