bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of the In-Vivo Cytotoxicity and the In Silico-Prediction of MDM2-p53 Inhibitor Potential of Euphorbia peplus Methanolic Extract in Rats
Authors: Abd-Elhakim Yasmina M. , Abdo Nassan Mohamed , Salem Gamal A. , Sasi Abdelkarim , Aldhahrani Adil , Ben Issa Khaled , Abdel-Rahman Mohamed Amany
Published: November 2019

This study explored the probable in vivo cardiac and renal toxicities together with in silico approaches for predicting the apoptogenic potential of Euphorbia peplus methanolic extract (EPME) in rats. Cardiac and renal injury biomarkers were estimated with histopathological and immunohistochemical evaluations of both kidney and heart. The probable underlying mechanism of E. peplus compounds to potentiate p53 activity is examined using Molecular Operating Environment (MOE) docking software and validated experimentally by immunohistochemical localization of p53 protein in the kidney and heart tissues. The gas chromatography/mass spectrometry analysis of E. peplus revealed the presence of nine different compounds dominated by di-(2-ethylhexyl) phthalate (DEHP). Significant elevations of troponin, creatine phosphokinase, creatine kinase–myocardium bound, lactate dehydrogenase, aspartate transaminase, alkaline phosphatase, urea, creatinine, and uric acid were evident in the EPME treated rats. The EPME treated rats showed strong renal and cardiac p53 expression and moderate cardiac TNF-α expression. Further, our in silico results predicted the higher affinity and good inhibition of DEHP, glyceryl linolenate, and lucenin 2 to the MDM2-p53 interface compared to the standard reference 15 a compound. Conclusively, EPME long-term exposure could adversely affect the cardiac and renal tissues probably due to their inflammatory and apoptotic activity. Moreover, the in silico study hypothesizes that EPME inhibits MDM2-mediated degradation of p53 suggesting possible anticancer potentials which confirmed experimental by strong p53 expression in renal and cardiac tissues.
Semi-Quantitative, Duplexed qPCR Assay for the Detection of Leishmania spp. Using Bisulphite Conversion Technology
Authors: Gow Ineka , Millar Douglas , Ellis John , Melki John , Stark Damien
Published: November 2019

Leishmaniasis is caused by the flagellated protozoan Leishmania, and is a neglected tropical disease (NTD), as defined by the World Health Organisation (WHO). Bisulphite conversion technology converts all genomic material to a simplified form during the lysis step of the nucleic acid extraction process, and increases the efficiency of multiplex quantitative polymerase chain reaction (qPCR) reactions. Through utilization of qPCR real-time probes, in conjunction with bisulphite conversion, a new duplex assay targeting the 18S rDNA gene region was designed to detect all Leishmania species. The assay was validated against previously extracted DNA, from seven quantitated DNA and cell standards for pan-Leishmania analytical sensitivity data, and 67 cutaneous clinical samples for cutaneous clinical sensitivity data. Specificity was evaluated by testing 76 negative clinical samples and 43 bacterial, viral, protozoan and fungal species. The assay was also trialed in a side-by-side experiment against a conventional PCR (cPCR), based on the Internal transcribed spacer region 1 (ITS1 region). Ninety-seven percent of specimens from patients that previously tested positive for Leishmania were positive for Leishmania spp. with the bisulphite conversion assay, and a limit of detection (LOD) of 10 copies per PCR was achieved, while the LOD of the ITS1 methodology was 10 cells/1000 genomic copies per PCR. This method of rapid, accurate and simple detection of Leishmania can lead to improved diagnosis, treatment and public health outcomes.
Zika Virus Non-Structural Protein NS5 Inhibits the RIG-I Pathway and Interferon Lambda 1 Promoter Activation by Targeting IKK Epsilon
Authors: Lundberg Rickard , Melén Krister , Westenius Veera , Jiang Miao , Österlund Pamela , Khan Hira , Vapalahti Olli , Julkunen Ilkka , Kakkola Laura
Published: November 2019

The Zika virus (ZIKV) is a member of the Flaviviridae family and an important human pathogen. Most pathogenic viruses encode proteins that interfere with the activation of host innate immune responses. Like other flaviviruses, ZIKV interferes with the expression of interferon (IFN) genes and inhibits IFN-induced antiviral responses. ZIKV infects through epithelial barriers where IFN-λ1 is an important antiviral molecule. In this study, we analyzed the effects of ZIKV proteins on the activation of IFN-λ1 promoter. All ZIKV proteins were cloned and transiently expressed. ZIKV NS5, but no other ZIKV protein, was able to interfere with the RIG-I signaling pathway. This inhibition took place upstream of interferon regulatory factor 3 (IRF3) resulting in reduced phosphorylation of IRF3 and reduced activation of IFN-λ1 promoter. Furthermore, we showed that ZIKV NS5 interacts with the protein kinase IKKε, which is likely critical to the observed inhibition of phosphorylation of IRF3.
Vaccination against Paediatric Respiratory Pathogens
Authors: Bianchini Sonia , Argentiero Alberto , Camilloni Barbara , Silvestri Ettore , Alunno Anna , Esposito Susanna
Published: November 2019

Acute respiratory infections (ARIs) are extremely common in children, especially those under 5 years old. They can lead to complications, super-infection, respiratory failure, and even compromised respiratory function in adulthood. For some of the responsible pathogens, vaccines are available. This review reports current issues about vaccines against the main respiratory pathogens to highlight the available strategies to reduce the burden of paediatric respiratory disease. The optimal use of influenza, pneumococcal, pertussis and measles vaccines is required in order to reduce ARI burden. Vaccination coverage rates must be improved to achieve the full benefits of these vaccines. Recently, advances in the knowledge of respiratory syncytial virus structural biology and immunology as well as the development of new techniques to generate vaccine candidates have increased the number of promising vaccines even against this harmful pathogen.
Post-Glycosylation Modification of Sialic Acid and Its Role in Virus Pathogenesis
Authors: Park Simon S.
Published: November 2019

Sialic acids are a family of nine carbon keto-aldononulosonic acids presented at the terminal ends of glycans on cellular membranes. α-Linked sialoglycoconjugates often undergo post-glycosylation modifications, among which O-acetylation of N-acetyl neuraminic acid (Neu5Ac) is the most common in mammalian cells. Isoforms of sialic acid are critical determinants of virus pathogenesis. To date, the focus of viral receptor-mediated attachment has been on Neu5Ac. O-Acetylated Neu5Acs have been largely ignored as receptor determinants of virus pathogenesis, although it is ubiquitous across species. Significantly, the array of structures resulting from site-specific O-acetylation by sialic acid O-acetyltransferases (SOATs) provides a means to examine specificity of viral binding to host cells. Specifically, C4 O-acetylated Neu5Ac can influence virus pathogenicity. However, the biological implications of only O-acetylated Neu5Ac at C7–9 have been explored extensively. This review will highlight the biological significance, extraction methods, and synthetic modifications of C4 O-acetylated Neu5Ac that may provide value in therapeutic developments and targets to prevent virus related diseases.
Assessing the Impacts of Extreme Climate Events on Vegetation Activity in the North South Transect of Eastern China (NSTEC)
Authors: Zhou Yi , Pei Fengsong , Xia Yan , Wu Changjiang , Zhong Rui , Wang Kun , Wang Huaili , Cao Yang
Published: November 2019

Extreme climate events frequently exert serious effects on terrestrial vegetation activity. However, these effects are still uncertain in widely distributed areas with different climate zones. Transect analysis is important to understand how terrestrial vegetation responds to climate change, especially extreme climate events, by substituting space for time. In this paper, seven extreme climate indices and the Normalized Difference Vegetation Index (NDVI) are employed to examine changes in the extreme climate events and vegetation activity. To reduce the uncertainty of the NDVI, two satellite-derived NDVI datasets, including the third generation Global Inventory Monitoring and Modeling System (GIMMS-3g) NDVI dataset and the NDVI from the National Oceanic and Atmospheric Administration (NOAA) satellites on Star Web Servers (SWS), were employed to capture changes in vegetation activity. The impacts of climate extremes on vegetation activity were then assessed over the period of 1982–2012 using the North–South Transect of Eastern China (NSTEC) as a case. The results show that vegetation activity was overall strengthened from 1982 to 2012 in the NSTEC. In addition, extreme high temperature events revealed an increased trend of approximately 5.15 days per decade, while a weakened trend (not significant) was found in extreme cold temperature events. The strengthened vegetation activities could be associated with enhanced extreme high temperature events and weakened extreme cold temperature events over the past decades in most of the NSTEC. Despite this, inversed changes were also found locally between vegetation activity and extreme climate events (e.g., in the Northeast Plain). These phenomena could be associated with differences in vegetation type, human activity, as well as the combined effects of the frequency and intensity of extreme climate events. This study highlights the importance of accounting for the vital roles of extreme climate effects on vegetation activity.
Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms
Authors: Vakhshoori Vali , Pourghasemi Hamid Reza , Zare Mohammad , Blaschke Thomas
Published: November 2019

The aim of this study was to apply data mining algorithms to produce a landslide susceptibility map of the national-scale catchment called Bandar Torkaman in northern Iran. As it was impossible to directly use the advanced data mining methods due to the volume of data at this scale, an intermediate approach, called normalized frequency-ratio unique condition units (NFUC), was devised to reduce the data volume. With the aid of this technique, different data mining algorithms such as fuzzy gamma (FG), binary logistic regression (BLR), backpropagation artificial neural network (BPANN), support vector machine (SVM), and C5 decision tree (C5DT) were employed. The success and prediction rates of the models, which were calculated by receiver operating characteristic curve, were 0.859 and 0.842 for FG, 0.887 and 0.855 for BLR, 0.893 and 0.856 for C5DT, 0.891 and 0.875 for SVM, and 0.896 and 0.872 for BPANN that showed the highest validation rates as compared with the other methods. The proposed approach of NFUC proved highly efficient in data volume reduction, and therefore the application of computationally demanding algorithms for large areas with voluminous data was feasible.
Modeling and Dynamic-Simulating the Water Distribution of a Fixed Spray-Plate Sprinkler on a Lateral-Move Sprinkler Irrigation System
Authors: Zhang Yisheng , Guo Jinjun , Sun Bin , Fang Hongyuan , Zhu Delan , Wang Huiliang
Published: November 2019

Uniformity of water distribution plays an important role in evaluating irrigation quality. As necessities in calculating irrigation uniformity during designing a lateral-move sprinkler irrigation system (LMSIS), the water distribution patterns of individual sprinkler in motion are crucial. Considering the limitation of the experiment platform, dynamic water distribution of an isolated sprinkler is difficult to measure, especially for a fixed spray plate sprinkler (FSPS) which LMSIS has been widely equipped with in China, therefore developing a model to simulate dynamic water distribution of a moving sprinkler is necessary. The objective of this study was to develop and validate the theoretical basis for calculating water distribution characteristics of a single FSPS in translational motion applying a superposition method, and provide an optimized operation management of LMSIS. The theoretical model’s validity was verified in an indoor experiment using a Nelson D3000 FSPS in motion with 36 grooves and blue-plate spray heads. The software was programmed using the Eclipse Platform and the software was capable of simulating water distribution pattern and Christiansen uniformity coefficient (Cu). The results indicated that the water distribution simulated by the software presents three peaks of maximum application under varying conditions, and the value of water application peaks decreased as working pressure and/or mounting height increased. Conversely, the wetted diameter increased as working pressure and/or mounting height increased. Working pressure, mounting height, and sprinkler spacing each had a significant effect on the Cu. The Cu increased as working pressure and/or mounting height increased but decreased as sprinkler spacing increased. As a consequence, the model can be used to predict the relative water distribution pattern; and the Cu can be calculated with the simulated data, thus providing a tool for designing a new LMSIS.
Projections of Future Climate Change in Singapore Based on a Multi-Site Multivariate Downscaling Approach
Authors: Li Xin , Zhang Ke , Babovic Vladan
Published: November 2019

Estimates of the projected changes in precipitation and temperature have great significance for adaption planning in the context of climate change. To obtain the climate change information at regional or local scale, downscaling approaches are required to downscale the coarse global climate model (GCM) outputs to finer resolutions in both spatial and temporal dimensions. The multi-site, multi-variate downscaling approach has received considerable attention recently due to its advantage in providing distributed, physically coherent downscaled meteorological fields for subsequent impact modeling. In this study, a newly developed multi-site multivariate statistical downscaling approach based on empirical copula was applied to downscale grid-based, monthly precipitation, maximum and minimum temperature outputs from nine global climate models to site-specific, daily data over four weather stations in Singapore. The advantage of this approach lies in its ability to reflect the at-site statistics, inter-site and inter-variable dependencies, and temporal structure in the downscaled data. The downscaling was conducted for two projection periods (i.e., the 2021–2050 and 2071–2100 periods) under two emission scenarios (i.e., representative concentration pathway (RCP)4.5 and RCP8.5 scenarios). Based on the downscaling results, projected changes in daily precipitation, maximum and minimum temperatures were examined. The results show that there is no consensus on the projected change in average precipitation over the two future periods. The major uncertainty for precipitation projection comes from the GCMs. For daily maximum and minimum temperatures, all downscaled GCMs project an increase of average temperature in the future. These change signals could be different from those of the original GCM data, both in magnitude and in direction. These findings could assist in adaption planning in Singapore in response to emerging climate risks.
Evaluation of Various Precipitation Products Using Ground-Based Discharge Observation at the Nujiang River Basin, China
Authors: Mao Renjie , Wang Lei , Zhou Jing , Li Xiuping , Qi Jia , Zhang Xiaotao
Published: November 2019

Precipitation observation and prediction is difficult in many high elevation regions due to the complex terrain and the lack of in situ observations for comparison. The Nujiang River (upper and middle Salween River) basin in the Tibetan Plateau is no exception. Because of this shortcoming, we propose the use of gauge-observed discharge time series at the basin outlet (e.g., Jiayuqiao hydrological station) to evaluate the performance of four different precipitation products (e.g., satellite-based products and reanalysis datasets). A physically-based distributed cryosphere hydrological model with coupled snow and frozen soil physics was adopted to transfer the basin-wide gridded precipitation into the basin-outlet discharges. First, we corrected and evaluated the four precipitation products. A correlation relationship was established between each precipitation product and the available (limited) gauge rainfall within different elevation zones, and then used to correct the four precipitation products in the study basin. Secondly, a distributed cryosphere hydrological model was used to simulate the basin-outlet runoff driven by each corrected precipitation product. The results indicated that modern-era retrospective analysis for Research and Applications, version 2 (MERRA2) precipitation has better performance in the upper Nujiang River basin relative to the other precipitation products based on comparisons of observed and simulated runoff.
Analysis of 15N-NO3− Via Anoxic Slurries Coupled to MIMS Analysis: An Application to Estimate Nitrification by Burrowing Macrofauna
Authors: Carpintero Moraes Paula , Arroyave Gòmez Diana Marcela , Vincenzi Fabio , Castaldelli Giuseppe , Fano Elisa Anna , Bartoli Marco , Benelli Sara
Published: November 2019

The increasing use of the stable isotope 15N-NO3− for the quantification of ecological processes requires analytical approaches able to distinguish between labelled and unlabeled N forms. We present a method coupling anoxic sediment slurries and membrane inlet mass spectrometry to quantify dissolved 15N-NO3− and 14N-NO3−. The approach is based on the microbial reduction of 14N-NO3− and 15N-NO3− mixed pool, the determination of the produced 29N2 and 30N2, and the calculation of the original 15N-NO3− and 14N-NO3− concentrations. The reduction is carried out in 12 mL exetainers containing 2 mL of sediment and 10 mL of water, under anoxia. To validate this approach, we prepared multiple standard solutions containing 15N-NO3− alone or in combinations with 14N-NO3−, with final concentrations varying from 0.5 to 3000 µM. We recovered nearly 90% of the initial 14N-NO3− or 15N-NO3−, over a wide range of concentrations and isotope ratios in the standards. We applied this method to a 15N-NO3− dilution experiment targeting the measurement of nitrification in sediments with and without the burrower Sparganophilus tamesis. The oligochaete did not stimulate nitrification, likely due to limited ventilation and unfavorable conditions for nitrifiers growth. The proposed method is reliable, fast, and could be applied to multiple ecological studies.
Obstacle Avoidance of Semi-Trailers Based on Nonlinear Model Predictive Control
Authors: Bai Guoxing , Liang Chen , Meng Yu , Liu Li , Luo Weidong , Gu Qing
Published: November 2019

Obstacle avoidance is a core part of the autonomous driving of off-road vehicles, such as semi-trailers. Due to the long length of semi-trailers, the traditional obstacle avoidance controller based on the circumcircle model can ensure that there is no collision between the semi-trailer and the obstacle, but it also greatly reduces the passable area. To solve this problem, we propose a new obstacle avoidance model. In this model, the distance between the obstacle and the middle line of semi-trailers is used as the indicator of obstacle avoidance. Based on this model, we design a new obstacle avoidance controller for semi-trailers. The simulation results show that the proposed controller can ensure that no collision occurs between the semi-trailer and the obstacle. The minimum distance between the obstacle center and the semi-trailer body trajectory is greater than the sum of the obstacle radius and the safety margin. Compared with the traditional obstacle avoidance controller based on the circumcircle model, the proposed controller greatly reduces the error between the semi-trailer and the reference path during obstacle avoidance.
Investigadores Brasileiros em Portugal: construindo saberes, semeando o futuro
Authors: De Souza Sidclay Bezerra , Bruno Adriana Rocha , Couto João-Luiz Peçanha , Lemes Sebastião de Souza , Silva Erbio dos Santos
Published: November 2019

Considerando os diversos desafios da atual conjuntura social e que demandam uma atitude pró-ativa na construção do conhecimento, este grupo de investigadores brasileiros têm somado esforços no sentido de compreender e, sobretudo, pensar a educação para o futuro no sentido mais amplo que a educação pode contemplar. Enquanto pesquisadores, temos consciência da nossa responsabilidade no Brasil e no mundo. Além disso, estamos cientes da complexidade crescente dos processos sociais, econômicos e políticos e que apresentam grandes implicações no cenário educacional.
O ESTUDO DAS TRAJETÓRIAS DE VIDA COMO MÉTODO DE COMPREENSÃO DA FORMAÇÃO DE IDENTIDADES PROFISSIONAIS DOCENTES
Authors: Lima Maria da conceicao silva , De Aguiar Maria da Conceição Carrilho
Published: November 2019

A partir de uma retrospectiva histórica, o presente artigo foca a apresentação do método de História de Vida como via alternativa aos estudos sobre Formação Inicial e Identidade Profissional Docente, delineando suas perspectivas e restrições. Por fio condutor, o panorama apresentado por Josso (2004) e pelo Movimento Pedagógico que elege o estudo das narrativas  de vida como elemento ímpar na compreensão do processo de identificação, aproximação/afastamento com o magistério e de configuração da identidade profissional docente. Como resultado, a valorização do professor e a possibilidade de se estudar a docência e a identidade profissional docente considerando as experiências pessoais e coletivas vivenciadas dentro e fora da escola, que possibilitaram a escolha e ratificação do magistério, bem como, a práxis em sala de aula.
AS IMPLICAÇÕES DE UM AMBIENTE SUPERCOMPLEXO NA GESTÃO UNIVERSITÁRIA E NO DESENVOLVIMENTO DO EGRESSO
Authors: Bolzan Larissa Medianeira
Published: November 2019

Nesta reflexão é discutida a gestão do ensino superior brasileiro (ou gestão universitária) e a implicação desta sobre o desenvolvimento do egresso, no ambiente supercomplexo em que coexistem. O fio condutor deste ensaio é a obra de Guerreiro Ramos (1984), mais especificamente a propositura dos modelos de homem e a categoria de homem parentético. A principal característica do comportamento parentético, para Guerreiro Ramos (1984), é a capacidade de afastar-se das circunstâncias que influenciam suas opiniões e sua criticidade, para analisar as situações à luz da razão substantiva (ou noética). Com vistas a cumprir com o objetivo, à discussão foram trazidos Darcy Ribeiro (1969), Boaventura Sousa Santos (1995) e Ronald Barnett (1997, 2007). A literatura sobre o tema discutido, e sobretudo a reflexão a respeito, mostrou a supercomplexidade já invadiu as fronteiras da universidade e, em suma, a reação foi alterar a estrutura curricular com a finalidade de responder as demandas do mercado de trabalho. Utilizando conceito cunhado por Ramos (1984), o ensino superior, atualmente, não está a desenvolver atitudes parentéticas no egresso. O ensino superior está a disponibilizar ao mercado de trabalho um profissional performativo com características substituíveis
DESENVOLVIMENTO DESIGUAL, “QUESTÃO REGIONAL” E TENDÊNCIAS CONTEMPORÂNEAS
Authors: Pereira Evelyne Medeiros
Published: November 2019

O contexto contemporâneo é constituído na permanente dialética entre mudanças e continuidades, particularmente no âmbito das desigualdades regionais, fazendo ainda com que regiões como o Nordeste brasileiro tenha uma elevada taxa de analfabetismo e um reduzido índice de desenvolvimento humano, apesar da melhoria nas condições de vida e trabalho dos setores mais subalternizados durante a última década. O presente artigo é fruto do esforço de uma breve caracterização e problematização da “questão regional” no Brasil a partir da região Nordeste no contexto dos anos 2000. Para tanto, a contextualização dessa questão no padrão de desenvolvimento capitalista, atentando para algumas de suas tendências, como a lei do desenvolvimento desigual e combinado, foi um passo fundamental, demandando o diálogo com a realidade empírica através da pesquisa bibliográfica e documental, além do levantamento de dados primários e secundários referente ao período priorizado. Ressaltamos a necessidade da conexão entre a análise da realidade regional e o movimento mundial articulador de territórios que perpetua o “amalgama de formas arcaicas com as mais modernas”, em especial nas formações sociais dependentes como a brasileira.
POLÍTICA DE ACESSO E PERMANÊNCIA NAS UNIVERSIDADES PÚBLICAS NO BRASIL E EM PORTUGAL
Authors: Santos Cláudia Priscila C. dos , Ferreira Jorge Manuel Leitão
Published: November 2019

A assistência estudantil brasileira e a ação social portuguesa no ensino superior público (ASES) constituem um campo de atuação, investigação e de investimento social na garantia dos direitos humanos e sociais à formação universitária. Investigamos a dimensão social na sua acepção educativa facilitadora de formação superior e como elemento de integração social de grupos sociais vulneráveis no acesso ao ensino universitário. Definimos como objetivo geral sistematizar a configuração da ASES e utilizamos uma abordagem de natureza qualitativa baseada no método comparativo. Os resultados sugerem que a adoção de diretrizes internacionais afetou o desenvolvimento da ASES luso-brasileira, designadamente por fatores que impediram o fluxo contínuo de investimento, de estruturação e de planejamento, incapaz de responder de forma contemporânea e imediata às necessidades estudantis.
Apresentação
Authors: Martins de Oliveira Laguardia Rafael
Published: November 2019

Apresentação do dossiê
Experiências colaborativas no projeto Atlas Digital da América Lusa
Authors: GIL TIAGO
Published: November 2019

O texto conta a história do "Atlas Digital da América Lusa", enfatizando como as diferentes "gerações" de alunos e pesquisadores que participaram do projeto modificaram completamente sua natureza. É uma avaliação pessoal e, portanto, sujeita a esquecimentos e lapsos, além da própria reinterpretação feita, que acaba, de um modo ou de outro, buscando atribuir uma coerência ao que é narrado. Procurarei enfatizar as rupturas, conforme me foi possível. Escreverei no plural, na medida em que acreditar que expresso um ponto de vista compartilhado com os diversos participantes do projeto.
O papel das vivências da personalidade na instrução
Authors: Jerebtsov Serguei , Prestes Zoia
Published: November 2019

Neste artigo, propomos, inicialmente, a nossa compreensão da essência e das características das vivências da pessoa e, posteriormente, empreendemos uma tentativa de analisar o processo de instrução que contribui com o desenvolvimento de outra pessoa por meio da orientação em vivências o que, a nosso ver, permite pôr substancialmente em outra dimensão o processo pedagógico.
L. S. Vigotski e a cidade de Gomel: uma teoria histórico-cultural das vivências
Authors: Rodrigues Vieira de Paula Sara
Published: November 2019

Referência do texto resenhado: JEREBTSOV, Serguei. Gomel - A cidade de L.S. Vigotski: Pesquisas científicas contemporâneas sobre instrução no âmbito da teoria histórico-cultural de L.S. Vigotski. Veresk - Cadernos Acadêmicos Internacionais: Estudos sobre a perspectiva histórico-cultural de Vigotski, Brasília, UniCEUB, v. 1, p.7-27, 2014. Disponível em: . Acesso em: 16 jul., 2018.
Application of OSL dosimetry and 3D printed phantom for comparison of calculation algorithms for VMAT treatment planning
Authors: Villani Daniel , Dos Santos Moreno Carolina , Sakuraba Roberto Kenji , Lucente Campos Letícia
Published: November 2019

The application of new commercial and industrial technologies in the fields of dosimetry and medical physics is of great interest to the scientific community, both to validate existing protocols and to develop new methodologies. The popularization of 3D printing techniques has been analyzed as a great advantage in quality control in complex treatment techniques, such as radiotherapy and the development of patient simulators. Portable dosimetry systems such as Landauer MicroStar OSL system are versatile and their use in quality control is of great importance. The aim of this paper is to compare two of the most used dose calculation algorithms used in Varian Eclipse TPS – AAA and Acuros XB – for treatment planning of multiple brain metastases using a 3D printed anthropomorphic phantom and the OSL InLight system for experimental dosimetry validation. A 3D printed anthropomorphic skull phantom was submitted to a CT scan and planed five target volumes. In order of comparison, two dose calculations were performed in the Varian Eclipse 13.6 TPS with "Alabama technique", using the Varian’s AAA and AXB algorithms, and treatment delivered with 6 MV photon beam of a Varian TrueBeam linear accelerator. Landauer nanoDot dosimeters were positioned inside each of the five target volumes planned and the experimental dosimetric results were compared with the algorithms’ calculated doses. The findings of this work indicate that ACUROS XB calculates more accurate doses compared with AAA, with all the experimental agreements better than 96.0 %, probably because of the heterogeneity corrections. The uncertainty analysis of the InLight system device is enough to sustain the dosimetric uncertainties below 3.0 %, validating the results.
Central Transportation Port (CPK) – Market Analysis
Authors: Serafin Marek , Zaremba Ryszard
Published: November 2019

The Project of Polish Central Transportation Port (CPK), which has already started, will be of the utmost importance for the whole Polish Transportation System. In addition, the cost of this investment is unprecedented. According to the current estimates the cost will surpass 100 billion Zlotys which means around 23.5 billion EUR. The success of CPK will depend on one condition that it becomes a great international hub. This is possible only if LOT Polish Airlines grows into one of the very few European and then global leaders in intercontinental air traffic. Such growth would, however, be against current strong and stable market trends. The most important is a consolidation trend. The effect of this trend is a growing market power of giants and marginalization or even bankruptcy of small and medium size airlines. Smaller carriers have good chances of survival - or even growth - if they find a stable market niche, which gives them protection from the competitors and market crises. In the process of consolidation an important role is played by Joint Venture Agreements. The parties to them suspend competition and behave in the markets as if they had the same owner. For the medium size network carriers the new and very dangerous market trend has already started. The low cost carriers are developing their intercontinental networks. According to the authors of the Project the great chances of market success of LOT Polish Airlines and CPK are created by the fact that in Central and Eastern Europe there is no dominating network carrier and this market is waiting for a leader. In our report we prove that according to the strong and reliable market data the Lufthansa Group is a dominant network carrier in CEE. To be successful LOT would have to take a large part of their market share. But even that will not be enough. LOT would have to dramatically increase its market share in Western Europe for transit traffic between Asia and Europe.
An attempt to evaluate the influence of automated vehicles on traffic flow and design of road infrastructure
Authors: Kozaczka Nina , Gaca Stanisław
Published: November 2019

The article evaluates the impact of autonomous vehicles on road infrastructure de- sign, road traffic conditions and safety based on a review of existing literature. Levels of driv- ing automation and equipment of self-driving vehicles were presented. Attention was drawn to the benefits of developing communication systems between vehicle and the environment. The possible negative impact of autonomous vehicles on mixed traffic capacity was noted. The potential needs to adapt the road infrastructure to the traffic flow of automated vehicles were also presented. Separation of the lane, dedicated to self-driving vehicles, with a high share of these vehicles was presented as an element that improves the flow of traffic and safe- ty.

Keywords: Autonomous vehicles; Road infrastructure; Self-driving cars
ANALISIS PELAKSANAAN PROGRAM DIARE DI PUSKESMAS SERING TAHUN 2019
Authors: Hasibuan Yemima Putri , Ginting Rapael
Published: November 2019

Penyakit menular masih menjadi perhatian pemerintah, salah satunya adalah program pengendalian penyakit diare. Sering Puskesmas Kecamatan Medan Tembung menunjukkan jumlah penderita diare meningkat setiap tahun dari 476 orang pada 2016, menjadi 356 orang pada 2017 dan 820 orang pada 2018. Jenis penelitian ini adalah penelitian kualitatif. Ada 6 informan dalam penelitian ini, terdiri dari 1 informan dari kepala Puskesmas Sering, 1 informan penanggung jawab program diare Puskesmas Sering, 1 informan dari PMK Kantor Kota Medan, 1 informan kader posyandu, 2 informan dari ibu balita yang anaknya menderita diare. Hasil penelitian menunjukkan bahwa pelaksanaan program diare di Puskesmas Sering tidak berjalan dengan baik. Ditandai dengan laporan data yang belum dibuat dalam bentuk grafik, sarana dan prasarana yang belum maksimal, yaitu belum adanya poster tentang diare di Sering Puskesmas, penyuluhan diare rutin di masyarakat, belum optimalnya pengelolaan diare standar. di fasilitas kesehatan melalui Lima Langkah Menuntaskan Diare, partisipasi masyarakat dalam mendukung implementasi program diare masih rendah, dan masih terus melakukan pemantauan dan evaluasi sesuai dengan apa yang telah direncanakan. Berdasarkan hasil penelitian, diharapkan Puskesmas Sering meningkatkan penyuluhan diare, menerapkan manajemen diare, serta masyarakat untuk menjaga kebersihan lingkungan dan melaksanakan perilaku hidup bersih dan sehat.
An Innovative Approach for Identification of Pivotal node in Terrorist Network using TOPSIS Method (An Anti-Terrorism approach)
Authors:   computer science Engineering, Jabalpur Engineering College, India., Singh Saurabh , Verma Shashikant ,   computer science engineering, GBPEC Pauri Garwal, India., Tiwari Akhilesh ,   computer science & IT, MITS Gwalior, India.
Published: November 2019

Terrorist network analysis is a crucial topic of research nowadays. It helps law enforcement agencies to find the clear picture of crime in the early investigation. Several domains of computer science are useful for this research like graph traversal, graph optimization and multi criteria decision making In this paper one of the multi criteria decision making (MCDM) algorithm TOPSIS (technique for order preference by similarity to ideal solution) is used to find principal node in the graph. Its ease of use characteristic, make it fast and useful for all related analysis. We examine the 26/11 Mumbai attack terrorist network dataset using TOPSIS method. TOPSIS is found good method to analyze such type of problems.
Enhancing Visibility Range in Foggy Weather by Contrast Stretched CLAHE (CS- CLAHE)
Authors:   Research Scholar, UTU, Dehradun, ABES Engineering College, Ghaziabad, Jain Anmol , Dr. Nirvikar  ,   Associate Professor , COER Uttarakhand India.
Published: November 2019

Road accidents are becoming a very common problem due to unfavorable weather conditions like rain, fog, and pollution etc. The reason behind such accident is due to poor visibility outside, on the roads and hence driving becomes a problematic issue. Poor visibility becomes due to atmospheric trend originated such as fog, mist originated by small particles in the air such as dust, smoke or moisture, which reduces the visibility of the outdoor scenes. In this paper we are suggesting a Contrast Stretched CLAHE (CS-CLAHE) which will enhance the visibility of outside environment to take necessary precautions for prevention and avoiding the accidents. In the situation of real time streaming, there is a sequence of multiple frames per second, which are to be processed for enhancing the streaming. Therefore, this paper will discuss as a first step: how to enhance a single image and at second stage, processing of multiple images of streaming in parallel processing environment. For fast processing FPGA model is suggested.
Reinforcing the Development of Foreign Oral Competence of the Students of Higher Education
Authors:   Doctoral Student of Philosophy (PhD) of Termez State University, Termez, Uzbekistan., Normatovna Normatova Nurjamol
Published: November 2019

The oral competence of the person is the indicator which shows the socio-psychological, cultural and educational background of the individual in the case of not only his foreign language but also his mother tongue. As how a person defines his attitudes towards the exterior life has already become an independent study and today more people began to be interested in the nature of speech trying to upgrade oratory skills. This explains why perfecting the speaking comprehension in both native and foreign language is so demanded than any other language skills. Being one of the four major language skills, speaking comprehension is interrelated with every of them (listening, reading, writing) and has special tasks and aims of scope which are more significant and sensible than any other. The reason is that, without the ability to express our mind, the other skills as writing a letter, reading a text or listening to a tape, might lose their essence or just turn into useless one. It should be noted that, there are some obstacles related to psychological, methodical and target language experiences which bother students from interacting in the foreign language. Thus the following work is aimed at analyzing the process of developing the speaking skill of English as a second language of the students of Higher Education; detecting the existing problem areas; providing real solutions considering the learners` needs. As a content matter we chose the students of non-linguistic departments of Higher Education. Choosing non-linguistic sphere is explained with the frequency of language learning barriers which face the very students of this area more than usual. Thus the work analyzes the process; identifies the existing problem areas and the learners` weak-points; includes experimental researches with solutions and gives expedient results clarifying the main standpoints.
An Algorithm for Deciding the Online Reputation of Hotels
Authors:   Research Scholar, FST, ICFAI University, Dehradun, India., Chaudhary Pankaj , Aeron Dr. Anurag ,   Associate Professor, FST, ICFAI University, Dehradun, India., Vijay Dr. Sandeep ,   Director, Shivalik College of Engineering,Dehradun, India
Published: November 2019

After revolution in cell phone industry expansion and offering of promotional data packs by telecom companies like Reliance Jio, Airtel, Idea, Spice etc accessibility to the Internet has become very easy for the people. maximum people are now connect
Machine learning Techniques for Hotel Online Reputation
Authors:   Research Scholar, FST, ICFAI University, Dehradun, India., Chaudhary Pankaj , Aeron Dr. Anurag ,   Associate Professor, FST, ICFAI University, Dehradun, India., Vijay Dr. Sandeep ,   Director, Shivalik College of ngineering, Dehradun, India
Published: November 2019

Now days when someone decide to book a hotel, previous online reviews of the hotels play a major role in determining the best hotel within the budget of the customer. Previous Online reviews are the most important motivation for the information that
Delay Approximation Model for Prime Speed Interconnects in Current Mode
Authors:   Dept of ECE, Research Scholar, SSSUTMS, SEHORE, MP, R Naraiah , Balaji B. ,   Dept of ECE,KLEF, Vaddeswaram, Guntur AP, Radhamma Erigela ,   Dept of ECE, Brilliant Inst of Tech& sciences, Hyderabad, TS, Udutha Rajender ,   Dept of ECE, Research Scholar at SSSUTMS, Bhopal
Published: November 2019

There is enormous demand for high speed VLSI networks in present days. The coupling capacitance and interconnect delay play a major role in judging the behavior of on chip interconnects. There is an on chip inductance effect as we switch to low techn
Sales Forecasting using RNN
Authors:   Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India., T R Kalaiarasan , V Dr Anandkumar ,   Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India., A M Ratheeshkumar ,   Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India
Published: November 2019

In today’s world, big malls and marts are in need of advanced prediction of sales forecasting for the future demand of the products. This leads the manufacturer to produce sufficient product without excess production and to avoid such loss, we need to predict the future demand of a product using Recurrent Neural Network. Long Short Term Memory (LSTM) model deals with the most important past behaviors and understands whether or not those behaviors are important features in making future predictions. Thus, we can reduce the wastage of the product and an increase in profit. In addition, the sales team can communicate with the manufacturing unit in case of insufficient product. This leads to avoiding excess quantity preparation from the production unit. Sales prediction and forecasting is always a best practice for company development.
Air Pollution Monitoring System using Node Mcu and Air Quality Sensors
Authors:   MCA, BMSIT&M, Bengaluru, India., M.S. Ashwini , Ganesh P. ,   MCA, BMSIT&M, Bengaluru, India., G.V. Dwarakanath ,   MCA, BMSIT&M, Bengaluru, India.
Published: November 2019

In today’s world, due to the fast growth in number of motor vehicles and industrial evolution, the environment around us is more polluted. The pollution majorly affects the quality of air and causes the major health issues to living beings. The major reason for atmosphere contamination is due to releasing of harmful gases like carbon di-oxide, carbon monoxide etc. from factories, vehicles and from combustion of fossil fuels. It is necessary to monitor the percentage of pollutant present in the air which will leads to environmental issues. To overcome this, we have designed a tool using IoT technology. The air pollution monitoring tool includes Microcontroller and Sensors that provides the provision to monitor the quality of air by detecting the harmful gases present in the atmosphere. The pollution level can be monitored remotely using PC or smart phones. The data is store in cloud and can be accessed remotely.
Decentralized Power Generation using Renewable Energy Resources: Scope, Relevance and Application
Authors:   M.Tech. Scholar, Dept. of Electrical Engineering, Jaipur National University, Jaipur, India., Shekhawat Khushboo , Doda Devendra Kumar ,   Research Scholar, Dept. of Electrical Engineering, Poornima University, Jaipur, India., Gupta Abhishek Kumar ,   Associate Professor, Dept. of Electrical Engineering, Jaipur National University, Jaipur, India., Bundele Dr. Mahesh ,   Professor, Department of Computer Engineering, Poornima College of Engineering, Jaipur, Rajasthan, India.
Published: November 2019

Decentralized energy model successfully helps rural villages when it comes to supply of electricity because it’s a schematic way of utilization of renewable resources with decrease in the amount of GHG emissions whereas national electricity grid does not provide a solution to the problems faced by rural areas. Renewable energy sources can be use as standalone or in a combination of different resources like solar photovoltaic, biogas system, biomass system, micro-hydro and wind turbines known as hybrid renewable energy system (HRES) with a diesel generator as per the load demand and availability of the resources, which also protects our earth by remarkably decreasing the pollution caused by carbon emissions that we produce. The paper presents a review of various case studies on off-grid electricity generation which can be distinguished on the parameters like Cost of energy (COE), Net present cost (NPC), Levelized cost of energy (LCOE), Levelized unit electricity cost (LUEC), Per unit electricity cost (PUEC) and Life cycle cost (LCC) with respect to grid-connected systems and extension of grid. The paper also details the different initiatives taken by the government of Rajasthan to encourage off-grid generation in Rajasthan. The main motive of this work is to present an efficient hybrid technology combination from a blend of renewable energy resources for electricity generation to meet the electrical need of an off-grid village which is cost-efficient, sustainable, techno-economically feasible and environment friendly
An Integrated Triple Type Security System in Cloud Computing
Authors:   Research Scholar, Dept of CSE, JNTUK, Kakinada,India., Kumar E. Ravi , Reddy S. Sai Satyanarayana ,   Dept. of CSE, Vardhaman College of Engineering,Hyderabad, India., Reddy M. Babu ,   Dept. of CS, Krishna University, Machilipatnam, India.
Published: November 2019

Cloud computing is most widely used in many companies now a days. Cloud means services available and provided in the web. Security plays a major role in cloud computing to store the various forms of data. Providing quality of security for the cloud storage data is very important. Many cloud providing service companies takes various steps to secure the data. In this paper, the integrated triple type security system is provided for the cloud data. The proposed three way security system provides the encryption to the data uploaded by the data owner and if the user wants to download the available data with encryption key sent by the data owner and decryption key sent by the cloud service provider then the verification of the user can be done by the cloud admin. In this way, the three way data security is implemented.
Seismic Response of High Rise Building with Openings in Shear Walls
Authors:   P.G Scholar (Structural Engineering), Gudlavalleru Engineering College(GEC), Gudlavalleru (A.P),India., Reddy P. Vivek , Kumari G. Kamala ,   G Scholar (Structural Engineering), Gudlavalleru Engineering College(GEC), Gudlavalleru (A.P),India.
Published: November 2019

Due to gradual development of metros and small towns and increasing population in India, the high rise buildings are constructed at a larger scale due to land scarcity and the commercial or cultural importance of a particular area. A high rise building should be architecturally viable and should have good light and air ventilation. In this project we compare and analyze the high rise buildings in three configurations.A high rise building is a structure which is more than 30m in height. In this project we consider a high rise building with story configuration of G+20. The three configurations of the high rise building are designed, configured and seismically analysed using ETABS software. Earthquake analysis in ETABS is carried out on Model (a)-Structure without a shear wall, Model (b)-Structure with shear walls and Model (c)-Structure with openings in shear walls resting in Type II soil and Type III seismic zone. The soil type and seismic zone considered for this project is specific for Amaravati the capital of Andhra Pradesh. Seismic analysis results for each configuration of the high rise building such as Base Shear, Time Period, Storey Drifts and Displacements are compiled and compared to find the suitable configuration of high rise structure.