nils-herrmann/clean_scirepeval huggingface dataset:
Estimativa do potencial brasileiro de producao de energia eletrica atraves de sistemas fotovoltaicos flutuantes em reservatorios de hidroeletricas
Year: 2016

Atualmente observa se uma nova crise energetica no Brasil. Estrategias sao pensadas e estudadas para tentar aumentar a oferta de energia e a diversificacao das fontes de suprimento, dentre estas a utilizacao da energia solar fotovoltaica flutuante nos reservatorios das usinas hidroeletricas. Esse tipo de tecnologia ja e utilizado em outros paises, principalmente em lagos, lagoas e represas, para a obtencao de energia para o bombeamento de agua para a agricultura, producao de energia para a manutencao da producao ou incremento na rede, reduzir a taxa de evaporacao da agua dos reservatorios, diminuir a proliferacao de algas. No Brasil, pode se perceber a aplicabilidade ja que nao e necessaria a aquisicao de novas terras para a producao, ja existe a infraestrutura necessaria nos reservatorios, e o licenciamento ambiental dessas areas ja foi realizado. Em contrapartida, a adicao dos flutuadores encarece o custo de instalacao, pode haver restricoes ambientais e interferencia nos outros usos da agua, como navegacao, recreacao e pesca. Os estudos relacionados a essa aplicacao ainda estao se iniciando no Brasil e, visando atender a demanda gerada pelo interesse nesse tipo de tecnologia e na sua capacidade de geracao, que essa tese foi pensada. Para obter as possibilidades de geracao no pais foram analisadas as principais instalacoes ja construidas pelo mundo, analisando suas caracteristicas para se pensar em suas aplicacoes em reservatorios do Brasil. Como esse trabalho leva em consideracao a utilizacao dos reservatorios de hidreletricas para a instalacao dos sistemas, apresenta se um levantamento sobre as hidreletricas em operacao, suas localizacoes e areas. Com as caracteristicas desses sistemas e as informacoes sobre as hidreletricas conhecidas, o software PVsyst foi utilizado para calcular a geracao media por area dos reservatorios, permitindo a estimativa do potencial energetico dos reservatorios e da energia total que poderia ser produzida no pais. Como resultados principais, se obteve 4.460 GWP para o potencial brasileiro, produzindo ate 6.600 TWh de energia por ano, observando a utilizacao de 8% a 80% respectivamente, dos reservatorios.
An Experimental Approach to Study Individual Differences in Infants' Intake and Satiation Behaviors during Bottle Feeding.
Venue: Childhood obesity
Year: 2017

As a group, bottle fed infants are at higher risk for rapid weight gain compared with breast fed infants. However, little is known about individual differences in feeding behaviors of bottle feeding infants, as well as maternal and infant characteristics associated with bottle feeding outcomes.  We conducted a 2 day, within subject study of 21 formula feeding dyads; the within subject factor was feeding condition: mother led (ML; mothers were given the instruction to feed their infants as they typically would) vs. infant led (IL; the experimenter ensured feeding began when infants signaled hunger and ended when they rejected the bottle on three consecutive occasions) Intake was determined by bottle weight; feedings were video recorded and later analyzed to determine feeding duration and types of satiation behaviors displayed. Percent difference scores were calculated for each outcome as (ML IL)/IL) x 100] to standardize differences among dyads. Mothers completed questionnaires of feeding styles and infant temperament.  On average, infants consumed ~42% more formula during the ML than IL condition (p 0.03) However, notable variation existed in difference scores for intake (range 52.8% to 268.9% higher scores reflect greater intake during ML than IL) Stepwise regression illustrated that greater intakes during the ML condition were predicted by the combination of: (1) higher infant age; (2) lower levels of infant rhythmicity and adaptability; (3) higher levels of infant positive mood; and (4) lower levels of maternal restrictive and responsive feeding styles.  This objective, experimental approach illustrated that variation in bottle feeding outcomes is associated with characteristics of both members of the dyad.
Design and Fabrication of a Stair Climbing Wheelchair
Year: 2019

China, Japan and United State companies has designed and developed many types of stair climbing wheelchair, yet the prices are at average of RM40k, high enough to buy a low end car in Malaysia. The high price of the products mainly due to the complex mechanism and parts that implemented in the wheelchair. Therefore, the intention of this project is to help disable patients by research and design the stair climbing wheelchair with lower cost. This project aims to design, stress analysis and fabricate the wheelchair with only manual mechanical mechanism that used in climb up the staircase. Based on literature review on recent climbing mechanisms and research about the stair climbing wheelchair title, advantages and disadvantages of those concept was pointed out. With the investigation of the recent stair climbing related component and research, three conceptual design was developed by using conceptual solution listing table. By following the flow of engineering design, the conceptual screening helped in selection of initial design. The final design was consisted of clusters climbing mechanism, extendable front wheel and adjustable seat. The dimension of the cluster was set to be length of the cluster, 174.55 mm, radius of the outer curve, r, 70 mm, thickness of the bar, 70mm, with composited material of split aluminium and plywood. The consideration, testing and improvement was done in each stage of fabricating full scale prototype. For example adding limit block for extendable front wheel and optimising the plywood side panel. As the unexpected tip force presented on plywood side panel, the final test was focused on functionality, mechanism workability and dynamic stability of the prototype. The result was promising with smooth motion observed. The costing of the prototype also shows a lower value from expecting. The fetch ability of the wheelchair can be obtained with changing the material of the side panel in the future.
Scalable Provisioning of Virtual Network Functions via Supervised Learning
Venue: 2019 IEEE Conference on Network Softwarization (NetSoft)
Year: 2019

Network Function Virtualization (NFV) is opening new opportunities for both the business and the research community. As the need to softwarize functions grows, managing the underlying hosting infrastructure faces new challenges. In this paper, we focus on one of these challenges: the ability to provision enough virtualizable infrastructure resources to guarantee smooth and responsive network and application operations. To this aim, we learn from observed patterns of requests to an infrastructure hosting virtual network functions, and we model the problem of appropriately scaling resources to provision them. Using months of real Internet traffic requests, we train and compare the performance of several (classical and more recent) learning algorithms. Our goal is to predict future NFV requests to proactively provision our infrastructure using constraint optimization. Our results, obtained with simulations and with a prototype that deploys Linux containers, show both expected and surprising results, and aims at fostering debates on when and if the juice of (supervised) deep learning techniques is worth the squeeze.
Purpose in Life as a System that Creates and Sustains Health and Well Being: An Integrative, Testable Theory
Year: 2009

a cognitive process that defines life goals and provides personal meaning may help explain disparate empirical social science findings. Devoting effort and making progress toward life goals provides a significant, renewable source of engagement and meaning. Purpose offers a testable, causal system that synthesizes outcomes including life expectancy, satisfaction, and mental and physical health. These outcomes may be explained best by considering the motivation of the individual a motivation that comes from having a purpose. We provide a detailed definition with specific hypotheses derived from a synthesis of relevant findings from social, behavioral, biological, and cognitive literatures. To illustrate the uniqueness of the purpose model, we compared purpose with competing contemporary models that offer similar predictions. Addressing the structural features unique to purpose opens opportunities to build upon existing causal models of "how and why" health and well being develop and change over time.
Iterative GDHP based approximate optimal tracking control for a class of discrete time nonlinear systems
Venue: Neurocomputing
Year: 2016

In this paper, an iterative globalized dual heuristic programming (GDHP) method is developed to deal with the approximate optimal tracking control for a class of discrete time nonlinear systems. The optimal tracking control problem is formulated by solving the discrete time Hamilton Jacobi Bellman (DTHJB) equation. Then, it is approximately solved by the developed iterative GDHP based algorithm with convergence analysis. The iterative GDHP algorithm is implemented by constructing three neural networks to approximate the error system dynamics, the cost function with its derivative, and the control policy in each iteration, respectively. The information of the cost function and its derivative is provided during iteration calculation. Two simulation examples are investigated to verify the performance of the proposed approximate optimal tracking control approach.
Interfacing Automatic Proof Agents in Atelier B: Introducing "iapa"
Venue: F IDE@FM
Year: 2016

The application of automatic theorem provers to discharge proof obligations is necessary to apply formal methods in an efficient manner. Tools supporting formal methods, such as Atelier~B, generate proof obligations fully automatically. Consequently, such proof obligations are often cluttered with information that is irrelevant to establish their validity. We present iapa, an "Interface to Automatic Proof Agents" a new tool that is being integrated to Atelier~B, through which the user will access proof obligations, apply operations to simplify these proof obligations, and then dispatch the resulting, simplified, proof obligations to a portfolio of automatic theorem provers.
Modeling country entrepreneurial activity to inform entrepreneurial marketing research
Year: 2020

In 2002, Morris, Schindehutte and LaForge published a seminal work on entrepreneurial marketing (EM) that prominently featured external environmental conditions as a primary influence on the firm. Since then, EM researchers have devoted scant attention to these external environmental conditions. Not surprisingly, important explanations for EM have remained underdeveloped, such as EM as a strategic response to environmental change and turbulence. This study applies two approaches in structural equation modeling (component based PLS SEM and covariancebased CB SEM) to the analysis of the 2016 Global Entrepreneurship Monitor data for the purpose of better understanding the external environment for firms' entrepreneurial marketing. The model in the study based on data from 65 countries aggregated at the country level, suggested potential entrepreneurs' perceptions of entrepreneurship influence entrepreneurship activity in societies positively, but are not influenced by constructs of the entrepreneurial ecosystem representing institutions of society, such as government programs and policies.
Ruta graveolens and its active constituent rutin protect against diethylnitrosamine induced nephrotoxicity through modulation of oxidative stress
Year: 2015

The current study was designed to evaluate the possible protective effects of Ruta graveolens (Rue) and its active phenolic constituent rutin against diethylnitrosamine (DEN) induced nephrotoxicity in rats. A single dose of DEN (200 mg/kg body weight) was intraperitoneally injected. Two weeks after DEN administration, rats received 0.05 phenobarbital in drinking water for 12 weeks. Ruta graveolens (50 mg/kg) and rutin (50 mg/kg) were orally administered from the first day of experiment. DEN administration induced kidney injury evidenced by histological alterations as well as significant increase in serum urea (P<0.01) creatinine (P<0.001) and uric acid (P<0.001) and renal lipid peroxidation levels. On the other hand, renal glutathione content and activity of superoxide dismutase, glutathione peroxidase and glutathione s transferase were significantly declined. Concomitant supplementation with either R. graveolens extract or rutin markedly alleviated the altered biochemical and histopathological features. In conclusion, the current findings provide evidence tha t R. graveolens and its active phenolic component rutin could protect against DEN induced renal damage through abolishment of oxidative stress and potentiation of the antioxidant defense system.
How Can Hyperledger Fabric Blockchain Platform Secure Power Plants Remote Monitoring
Venue: 2020 28th Iranian Conference on Electrical Engineering (ICEE)
Year: 2020

Security and reliability are important issues in industrial remote monitoring systems. Traditional remote monitoring systems, due to their centralized structure and challenges, could not fully guarantee the security and non manipulation of monitored data. Blockchain technology with its exclusive features in creating distributed and decentralized networks is a suitable solution for secure power plants remote monitoring. Hyperledger Fabric blockchain (HFB) as a permissioned blockchain has capabilities that can secure power plants remote monitoring. This paper describes HFB, its architecture and most prominent implementation aspects. In this study, we present a secure power plant remote monitoring platform based on HFB technology. The most critical aspects for implementation of presented HFB based platform such as transaction size, block size, throughput of transactions per second, latency, scale and number of nodes in the network have been discussed.
Quantification of left ventricular size and function using contrast enhanced real time 3D imaging with power modulation: comparison with cardiac MRI.
Venue: Ultrasound in medicine biology
Year: 2012

In patients with optimal images, real time 3 D echocardiography (RT3DE) allows accurate evaluation of left ventricular (LV) volumes and ejection fraction (EF) However, in patients with poor acoustic windows, lower correlations were reported despite the use of contrast. We hypothesized that power modulation (PM) RT3DE imaging that uses low mechanical indices and provides uniform LV opacification could overcome this problem. Accordingly, we sought to: (i) Test the feasibility of quantification of LV volumes and EF from contrast enhanced (CE) PM RT3DE images, (ii) validate this technique against cardiac magnetic resonance (CMR) reference and (iii) test its clinical value by quantifying the improvement in accuracy and reproducibility. We studied 20 patients who underwent CMR, harmonic nonenhanced RT3DE and CE PM RT3DE imaging on the same day. All images were analyzed to obtain end systolic and end diastolic LV volumes (EDV, ESV) and calculate EF. To determine the reproducibility of each RT3DE technique, imaging was repeated in the same setting by a second sonographer. In addition, patients were divided according to the quality of their RT3DE images into two groups, for which agreement with CMR and reproducibility were calculated separately. CE PM RT3DE imaging improved the accuracy of EDV, ESV and EF measurements in patients with poor acoustic windows without significantly affecting those in patients with optimal images. In addition, CE PM RT3DE imaging improved the reproducibility of the measurements, as reflected by a twofold decrease in intermeasurement variability. Importantly, the variability in CE PM RT3DE derived volumes and EF was under 10% irrespective of image quality. This methodology may become the new standard for LV size and function, which will be particularly important in patients with poor acoustic windows or contraindications to CMR.
Visual SLAM Location Methods Based on Complex Scenes: A Review
Venue: ICAIS
Year: 2020

In recent years, positioning for simple static scenes has been unable to meet the requirements of people's production and life. People want to achieve accurate positioning in practical scenarios such as airports, exhibition halls and stations. Therefore, the research on visual SLAM positioning in complex dynamic scenes is increasing day by day. This article reviews the research results of SLAM positioning methods and visual SLAM positioning methods for complex scenes in recent years. Firstly, the development process of laser SLAM, visual SLAM, semantic SLAM and multi sensor fusion is introduced, but the focus is on visual SLAM. Secondly, the paper summarizes the methods of moving object detection and visual SLAM localization in complex dynamic scenes. Then the paper describes the development of deep learning and multi sensor fusion in visual SLAM positioning based on complex dynamic scenes. Finally, the shortcomings of visual SLAM positioning methods based on complex scenes are summarized and the research prospects are prospected.
Cascade: crowdsourcing taxonomy creation
Venue: CHI
Year: 2013

Taxonomies are a useful and ubiquitous way of organizing information. However, creating organizational hierarchies is difficult because the process requires a global understanding of the objects to be categorized. Usually one is created by an individual or a small group of people working together for hours or even days. Unfortunately, this centralized approach does not work well for the large, quickly changing datasets found on the web. Cascade is an automated workflow that allows crowd workers to spend as little at 20 seconds each while collectively making a taxonomy. We evaluate Cascade and show that on three datasets its quality is 80 90% of that of experts. Cascade has a competitive cost to expert information architects, despite taking six times more human labor. Fortunately, this labor can be parallelized such that Cascade will run in as fast as four minutes instead of hours or days.
Impact of Government Expenditure on Economic Growth in Nigeria (1987 2017)
Year: 2018

The main objective of the study is to investigate the impact of government expenditure on economic growth in Nigeria The variables of capital expenditure on road, capital expenditure on agriculture, recurrent expenditure were regressed on the economic growth in Nigeria over the period of 1987 to 2017. The data will be analyzed with econometric techniques involving Augmented Dicker Fuller and Philip Perron tests for unit roots, Johansson technique for cointegration test for long run relationship and the ordinary least square (OLS) The result of the study indicates that Capital expenditure on road and capital expenditure on agriculture have positive impact on economic growth while recurrent expenditure had a negative impact on economic growth. The Adjusted R squared is 0.735801 which means that 74% of total variation in gross domestic product (RGDP) can be explained by the variables, namely CER, CEA, and RCE while the remaining 26% is due to other stochastic variables. The study thus concludes that government expenditure has positive effect on economic growth of Nigeria and has helped to improve Nigeria's economic growth. Among the recommendations is that the Nigeria government should commit her public expenditure on priority projects that are capable of generating income that will not only produce servicing plat form but will also improve the economic growth product in Nigeria.
Unified mode of centromeric protection by shugoshin in mammalian oocytes and somatic cells
Venue: Nature Cell Biology
Year: 2008

Reductional chromosome segregation in germ cells, where sister chromatids are pulled to the same pole, accompanies the protection of cohesin at centromeres from separase cleavage. Here, we show that mammalian shugoshin Sgo2 is expressed in germ cells and is solely responsible for the centromeric localization of PP2A and the protection of cohesin Rec8 in oocytes, proving conservation of the mechanism from yeast to mammals. However, this role of Sgo2 contrasts with its mitotic role in protecting centromeric cohesin only from prophase dissociation, but never from anaphase cleavage. We demonstrate that, in somatic cells, shugoshin colocalizes with cohesin in prophase or prometaphase, but their localizations become separate when centromeres are pulled oppositely at metaphase. Remarkably, if tension is artificially removed from the centromeres at the metaphase anaphase transition, cohesin at the centromeres can be protected from separase cleavage even in somatic cells, as in germ cells. These results argue for a unified view of centromeric protection by shugoshin in mitosis and meiosis.
Business model innovation and strategic transformation when confronting digital disruption: The case of data driven business models for professional services
Year: 2019

Most businesses and industries are undergoing significant disruption due to digital innovation. We focus our discussion on the rise of data driven business models in the professional services industry. Big data, advanced analytics and artificial intelligence solutions are now diffusing across industries. Professional services firms are knowledge intensive which may raise specific issues in relation to data analytics and artificial intelligence. In addition, these firms currently face high levels of potential disruption due to digital innovation by new start ups. When trying to understand the impact of these developments on the professional services industry, two prominent issues need to be considered. Firstly, digital innovation often results in the creation of new business models. This raises questions about whether these models are more generic (digital) showing great similarities across industries, or specific to the professional services industry. Moreover, there are questions related to whether the initiators of business model innovation are new, digital start ups, or well established incumbents. Secondly, when an incumbent is required to transform due to digital disruption, we need a more nuanced understanding of the strategic transformation processes in relation to the nature of professional services and technology innovation. Our paper makes two major contributions to the literature. First, it takes a critical look at data driven business models in the context of professional services firms. Second, it puts forth several research propositions that warrant further critical examination when it comes digital disruption barriers and enablers faced by incumbents and start ups.
Research on Multi Hazard Risk Management Framework for Coastal City
Year: 2014

Coastal cities have to face many kinds of natural hazards, which always interact with each other, leading to many losses. And rapid development makes city system too complicated to manage for reducing casualties and economic loss. In order to solve the problems in multi hazard risk management of coastal cities, this paper attemptted to build a new framework based on historical data and hazard chain theory, and studied the disaster network with the center of typhoon and earthquake. The framework contains a four dimensional network composed of factor, hazard, event and vulnerability, and related by risk evaluation, chain probability and losses estimation models. The risk analysis for the network was proposed for estimate the influence over the city, aimed at more effective suggestions of planning and disaster reduction.