nils-herrmann/clean_scirepeval huggingface dataset:
I Want to Change My Floor: Dominant Plane Recognition from a Single Image to Augment the Scene
Venue: 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR Adjunct)

Augmented reality combines real footage taken of a scene with virtual elements. However, most current methods rely on camera localisation and 3D reconstruction or point cloud generation in order to integrate augmented reality to the footage. In contrast, in this work we present a novel method to augment virtual reality to the scene based on the recognition of dominant planes in interior scenes. Our method uses a rule system to select predefined decisions on a set of variables in order to infer dominant planes in the scene. For this, we propose to combine information from texture features, a measure of blurring in the dominant planes, and a segmentation of regions in a scene based on superpixels. The rule system infers the regions corresponding to the dominant planes, whilst light intensity in the scene is inferred from segmented regions. We also propose an approach to remove regions misclassified as dominant planes. Finally, the floor in the scene is recognised as the most dominant plane and then replaced with an augmented texture. We demonstrate our approach in a video sequence where our method is applied in a frame to frame basis, thus, for each single image in the video sequence, the floor is automatically recognised as the most dominant plane and then replaced with a virtual texture and furthermore, whose appearance is modified according to our coarse light model inferred from our approach.
Blind image quality assessment for multiply distorted images via convolutional neural networks
Venue: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The past decade has witnessed a growing development of Image Quality Assessment (IQA) techniques. However, the researches of IQA with multiple distortion types are still limited especially on blind image quality assessment methods. In this paper, a Convolutional Neural Network (CNN) based method is proposed to predict the quality of multiply distorted images without references. Inspired by the early human visual model, the proposed CNN based method combines feature learning and regression for estimating the quality of multiply distorted images. The proposed network consists of one convolutional layer, one pooling layer with max and average pooling, two full connection layers and one softmax classification layer. With this network structure, the relationship between the accuracy of CNN and the prediction monotonicity of IQA is explored. Experimental results on the newly released LIVE multiply distorted image quality database verify the effectiveness of the proposed CNN based method.
The Synergy of Scientometric Analysis and Knowledge Mapping with Topic Models: Modelling the Development Trajectories of Information Security and Cyber Security Research
Venue: J. Inf. Knowl. Manag.

An important part of an organisation's mission is protecting its information assets from inside or outside threats. As the information environment has become more diverse and inclusive, security concern has shifted from information assets resided in the organisation to information assets and networked devices exposed to broader cyberspace, such as cloud or Internet of things environment and mobile Internet. Organisations have to keep up with the knowledge and trends in information security and cyber security to safeguard their information assets. Knowledge mapping will aid in this sort of knowledge management process. Mandatory standards and government regulations help industries establish best practices in cyber security. Knowledge mapping and scientometric analysis across disciplines also provide a tracking system to notify researchers and practitioners should the new solutions and technology facilitating threat detection emerge. While various topics in information security and cyber security have been extensively investigated in academia, identifying salient themes and development trajectories in information security and cyber security research is relatively unexplored. This study employs scientometric analysis and topic modelling to develop knowledge maps that visualise core concepts associated with information security and cyber security research over time and across disciplines. With scientometric analysis and knowledge mapping using topic models, this study identifies the commonality, difference, and relationship between information security and cyber security research domains. This approach could gain insights into how these research areas have evolved and might be improved concerning learning and teaching cyber security. The proposed approach to developing the knowledge map may be extended to other research areas.
Lateral Hypothalamic Area Glutamatergic Neurons and Their Projections to the Lateral Habenula Regulate Feeding and Reward
Venue: The Journal of Neuroscience

The overconsumption of calorically dense, highly palatable foods is thought to be a major contributor to the worldwide obesity epidemic; however, the precise neural circuits that directly regulate hedonic feeding remain elusive. Here, we show that lateral hypothalamic area (LHA) glutamatergic neurons, and their projections to the lateral habenula (LHb) negatively regulate the consumption of palatable food. Genetic ablation of LHA glutamatergic neurons increased daily caloric intake and produced weight gain in mice that had access to a high fat diet, while not altering general locomotor activity. Anterior LHA glutamatergic neurons send a functional glutamatergic projection to the LHb, a brain region involved in processing aversive stimuli and negative reward prediction outcomes. Pathway specific, optogenetic stimulation of glutamatergic LHA LHb circuit resulted in detectable glutamate mediated EPSCs as well as GABA mediated IPSCs, although the net effect of neurotransmitter release was to increase the firing of most LHb neurons. In vivo optogenetic inhibition of LHA LHb glutamatergic fibers produced a real time place preference, whereas optogenetic stimulation of LHA LHb glutamatergic fibers had the opposite effect. Furthermore, optogenetic inhibition of LHA LHb glutamatergic fibers acutely increased the consumption of a palatable liquid caloric reward. Collectively, these results demonstrate that LHA glutamatergic neurons are well situated to bidirectionally regulate feeding and potentially other behavioral states via their functional circuit connectivity with the LHb and potentially other brain regions.  In this study, we show that the genetic ablation of LHA glutamatergic neurons enhances caloric intake. Some of these LHA glutamatergic neurons project to the lateral habenula, a brain area important for generating behavioral avoidance. Optogenetic stimulation of this circuit has net excitatory effects on postsynaptic LHb neurons. This is the first study to characterize the functional connectivity and behavioral relevance of this circuit within the context of feeding and reward related behavior.
Demonstration of dynamic traffic allocation in an SDN enabled metropolitan optical network test bed
Venue: 2016 International Conference on Optical Network Design and Modeling (ONDM)

Elastic optical networking (EON) is a viable solution to accomplish future capacity requirements of network operators. EON relies on reconfigurable optical add/drop multiplexers (ROADMs) capable of routing arbitrary channel bandwidths usually based on wavelength selective switches (WSSs) In this context, control plane implementations (including signaling latency) and configuration times of WSSs are the two major contributors to delay the creation of label switched paths (LSPs) in highly dynamic traffic scenarios. In this paper, we first show the optical data plane implementation and operation in a metropolitan optical network. Then, we propose and experimentally demonstrate techniques to exploit the advantages of the centralized network's control logic intrinsic in SDN. Results prove the suitability of our proposals to enable fast LSP establishment in scenarios with high dynamic traffic.
Introduction To Electrical Engineering

Thank you for reading introduction to electrical engineering. Maybe you have knowledge that, people have search numerous times for their chosen novels like this introduction to electrical engineering, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful bugs inside their laptop. introduction to electrical engineering is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the introduction to electrical engineering is universally compatible with any devices to read.
Teacher Support as Determinant of Academic Achievement

Measuring achievement is a major part of the learning process and informs educators of student talent and progress toward educational goals. Today's modern society expects each one to be a high achiever. It has become an indicator of a child's future. Parents, teachers and higher authorities concerned with effective academic performance of the students. Present study aimed to investigate the effect of teacher support locale and sex on academic achievement. For this purpose initially larger number of student Studying in government schools of Rajnandgaon district of Chhattisgarh state were selected out of which 646 students were retained as final sample. To measure the academic achievement of the student, over all marks obtained by the student in different subjects (viz Hindi, English, Mathematics, Science, Social Science) in class 10 board examination was used. The dependent variable of the study was academic achievement and independent variables were teacher support locale and sex. To analyze the data descriptive statistics, and ANOVA technique is used. The ANOVA analysis reveals that teacher support and locale affect independently as well as jointly to academic achievement whereas role of sex was not found to be significant. Key wordsAcademic achievement,Teacher support, Locale, Sex.
Informal Institutions and Their Comparative Influences on Social and Commercial Entrepreneurship: The Role of In Group Collectivism and Interpersonal Trust

We use insights from institutional theory to study how societal collectivism and societal trust facilitate or constrain the emergence of social entrepreneurship (SE) and commercial entrepreneurship (CE) Using 58,918 individual level responses obtained from the Global Entrepreneurship Monitor (GEM) survey of 27 countries and supplementing with country level data obtained from the World Values Survey (WVS) and the Global Leadership and Organizational Behavior Effectiveness (GLOBE) study, our results from multilevel analyses demonstrate that while societal collectivism decreases the likelihood of CE, it increases that of SE. Further, while societal trust influences both SE and CE positively, the strength of this positive influence is felt more strongly on SE than CE.
Building interpersonal trust in a travel related virtual community: A case study on a Guangzhou couchsurfing community

Based on the theory of interpersonal relationships, this study aims to explore the process of interpersonal trust building in a virtual community involving both online and offline interactions. Results show that the interpersonal trust between couch surfers and couch host is a dynamic process covering three stages namely early, middle, and late. Initial trust is formed online at a high level, and then it is successfully transferred from the online world to the offline world. Meanwhile, the connotations of interpersonal trust develop continually from courtesy to instrumental, and then to emotional phase, with the development of the interactions between the two parties. Shaped by different factors under each phase, trust evolves from probable anticipation to mundane routine trust and then to ideological trust. A model illustrating the above process that how factors influence the process of interpersonal trust building and the evolution of trust connotations was proposed.
Social trust, interpersonal trust and self rated health in China: a multi level study
Venue: International Journal for Equity in Health

BackgroundTrust is important for health at both the individual and societal level. Previous research using Western concepts of trust has shown that a high level of trust in society can positively affect individuals' health; however, it has been found that the concepts and culture of trust in China are different from those in Western countries and research on the relationship between trust and health in China is scarce.MethodThe analyses use data from the national scale China General Social Survey (CGSS) on adults aged above 18 in 2005 and 2010. Two concepts of trust "out group" and "in group" trust) are used to examine the relationship between trust and self rated health in China. Multilevel logistical models are applied, examining the trust at the individual and societal level on individuals' self rated health.ResultsIn terms of interpersonal trust, both "out group" and "in group" trust are positively associated with good health in 2005 and 2010. At the societal level, the relationships between the two concepts of trust and health are different. In 2005, higher "out group" social trust (derived from trust in strangers) is positively associated with better health; however, higher "in group" social trust (derived from trust in most people) is negatively associated with good health in 2010. The cross level interactions show that lower educated individuals (no education or only primary level) rural residents and those on lower incomes are the most affected groups in societies with higher "out group" social trust; whereas people with lower levels of educational attainment, a lower income, and those who think that most people can be trusted are the most affected groups in societies with higher "in group" social trust.ConclusionHigh levels of interpersonal trust are of benefit to health. Higher "out group" social trust is positively associated with better health; while higher "in group" social trust is negatively associated with good health. Individuals with different levels of educational attainment are affected by trust differently.
Hydraulic flood routing in an ephemeral channel: Wadi Mekerra, Algeria
Venue: Modeling Earth Systems and Environment

Wadis are a vital source of water in most arid and semi arid countries. Catastrophic flash floods occurring in wadis are a threat to many societies. The Wadi Mekerra basin in the North West of Algeria represents one of these semi arid regions the most affected by floods and has been always one of the main concerns of managers in Sidi Bel Abbes province. In this work, we present the main climatic and hydromorphometric features of Wadi Mekerra watershed. We discuss the main factors that cause flooding in the studied catchment. A hydraulic model based on the Runge Kutta Discontinuous Galerkin (RKDG) finite element scheme and a limited (existing) field data was applied and compared with measured flow data. The objective was to assess whether a reliable hydraulic flood routing model of a Wadi in a semi arid region could be developed, with limited cross section data supplemented by topographic map information. A comparison between the measured and simulated results shows that the model used is appropriate for determining the flood hydrograph at the outlet of the watercourse.
The National Veteran Sleep Disorder Study: Descriptive Epidemiology and Secular Trends, 2000 2010.
Venue: Sleep

A large proportion of individuals affected by sleep disorders are untreated and susceptible to accidents, injuries, long term sequelae (e.g. risk of cardiovascular disease, cancer, psychiatric disorders) and increased mortality risk. Few studies have examined the scope and magnitude of sleep disorder diagnoses in the United States (US) or factors influencing them. Veterans are particularly vulnerable to factors that elicit or exacerbate sleep disorders.  This serial cross sectional study characterized secular trends in diagnosed sleep disorders among veterans seeking care in US Veterans Health Administration facilities over an eleven year span (FY2000 2010, n 9,786,778) Electronic medical records from the national Veterans Administration Informatics and Computing Infrastructure database were accessed. Cases were defined using diagnostic codes specified by the American Academy of Sleep Medicine. Age adjusted annual prevalence was summarized by sex, race, combat exposure, body mass index, and comorbid diagnoses (cardiovascular disease, cancer, mental disorders) RESULTS Sleep apnea (47% and insomnia (26% were the most common diagnoses among patients with any sleep disorder. There was a six fold relative increase in total sleep disorder prevalence over the study period. Posttraumatic stress disorder, which tripled over the same time period, was associated with the highest prevalence of sleep disorders (16% among the comorbid conditions evaluated.  The results indicate a growing need for integration of sleep disorder management with patient care and health care planning among US veterans.  A commentary on this article appears in this issue on page 1331.
Galois geometries and coding theory
Venue: Des. Codes Cryptogr.

Galois geometries and coding theory are two research areas which have been interacting with each other for many decades. From the early examples linking linear MDS codes with arcs in finite projective spaces, linear codes meeting the Griesmer bound with minihypers, covering radius with saturating sets, links have evolved to functional codes, generalized projective Reed Muller codes, and even further to LDPC codes, random network codes, and distributed storage. This article reviews briefly the known links, and then focuses on new links and new directions. We present new results and open problems to stimulate the research on Galois geometries, coding theory, and on their continuously developing and increasing interactions.
Handbook Of Coding Theory

Thank you for downloading handbook of coding theory. As you may know, people have search numerous times for their favorite readings like this handbook of coding theory, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they cope with some harmful bugs inside their laptop. handbook of coding theory is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the handbook of coding theory is universally compatible with any devices to read.
The Art of DNA Strings: Sixteen Years of DNA Coding Theory
Venue: ArXiv

The idea of computing with DNA was given by Tom Head in 1987, however in 1994 in a seminal paper, the actual successful experiment for DNA computing was performed by Adleman. The heart of the DNA computing is the DNA hybridization, however, it is also the source of errors. Thus the success of the DNA computing depends on the error control techniques. The classical coding theory techniques have provided foundation for the current information and communication technology (ICT) Thus it is natural to expect that coding theory will be the foundational subject for the DNA computing paradigm. For the successful experiments with DNA computing usually we design DNA strings which are sufficiently dissimilar. This leads to the construction of a large set of DNA strings which satisfy certain combinatorial and thermodynamic constraints. Over the last 16 years, many approaches such as combinatorial, algebraic, computational have been used to construct such DNA strings. In this work, we survey this interesting area of DNA coding theory by providing key ideas of the area and current known results.
Heteronuclear Micro Helmholtz Coil Facilitates um Range Spatial and Sub Hz Spectral Resolution NMR of nL Volume Samples on Customisable Microfluidic Chips
Venue: PloS one

We present a completely revised generation of a modular micro NMR detector, featuring an active sample volume of 100 nL, and an improvement of 87% in probe efficiency. The detector is capable of rapidly screening different samples using exchangeable, application specific, MEMS fabricated, microfluidic sample containers. In contrast to our previous design, the sample holder chips can be simply sealed with adhesive tape, with excellent adhesion due to the smooth surfaces surrounding the fluidic ports, and so withstand pressures of ~2.5 bar, while simultaneously enabling high spectral resolution up to 0.62 Hz for H2O, due to its optimised geometry. We have additionally reworked the coil design and fabrication processes, replacing liquid photoresists by dry film stock, whose final thickness does not depend on accurate volume dispensing or precise levelling during curing. We further introduced mechanical alignment structures to avoid time intensive optical alignment of the chip stacks during assembly, while we exchanged the laser cut, PMMA spacers by diced glass spacers, which are not susceptible to melting during cutting. Doing so led to an overall simplification of the entire fabrication chain, while simultaneously increasing the yield, due to an improved uniformity of thickness of the individual layers, and in addition, due to more accurate vertical positioning of the wirebonded coils, now delimited by a post base plateau. We demonstrate the capability of the design by acquiring a 1H spectrum of 11 nmol sucrose dissolved in D2O, where we achieved a linewidth of 1.25 Hz for the TSP reference peak. Chemical shift imaging experiments were further recorded from voxel volumes of only 1.5nL, which corresponded to amounts of just 1.5 nmol per voxel for a 1 M concentration. To extend the micro detector to other nuclei of interest, we have implemented a trap circuit, enabling heteronuclear spectroscopy, demonstrated by two 1H/13C 2D HSQC experiments.
Green engineering of titanium dioxide nanoparticles using Ageratina altissima (L. King H.E. Robines. medicinal plant aqueous leaf extracts for enhanced photocatalytic activity

In the present study, the titanium dioxide nanoparticles (TiO2NPs) were synthesized by using Ageratina alttissima (L. King H.E. Robines. (White Snakeroot) medicinal plant aqueous leaf extracts by microwave irradiation method. The green synthesized TiO2NPs showed the best photocatalyst due to its long thermodynamic stability and strong oxidizing power. The synthesized titanium dioxide nanoparticles were characterized by using UV visible spectroscopy, Fourier transform infrared spectroscopy (FTIR) X Ray diffraction (XRD) Field emission scanning electron microscopy (FESEM) and Energy dispersive X Ray analysis (EDX) FTIR was performed to identify the possible functional biomolecules capped on the surface of TiO2NPs during interaction. In XRD result, the dominant peak of TiO2 2 value is matched with the crystallographic rutile structure which indicates the polycrystalline nature. FESEM analysis revealed the spherical shape and size of the synthesized TiO2NPs. In this study, the degradation process of textile dyes was carried by photocatalytic activity using synthesized TiO2NPs. The photocatalytic activity of the synthesized TiO2NPs showed enhanced percentage of decoloring of textile dyes such as methylene blue (86.79 alizarin red (76.32 crystal violet (77.59 and methyl orange (69.06 The findings of this study clearly indicated that the synthesized TiO2 nanoparticles A. alttissima be used as an alternative and eco friendly compound to remove and degrade the pollutants released from textile and dyeing industries.