Miracle-dz/UniFAR-FTUs huggingface dataset:
Superconducting fault current limiter application in a power-dense marine electrical system

Power-dense, low-voltage marine electrical systems have the potential for extremely high fault currents. Superconducting fault current limiters (SFCLs) have been of interest for many years and offer an effective method for reducing fault currents. This is very attractive in a marine vessel in terms of the benefits arising from reductions in switchgear rating (and consequently size, weight and cost) and damage at the point of fault. However, there are a number of issues that must be considered prior to installation of any SFCL device(s), particularly in the context of marine applications. Accordingly, this study analyses several such issues, including: location and resistance sizing of SFCLs; the potential effects of an SFCL on system voltage, power and frequency; and practical application issues such as the potential impact of transients such as transformer inrush. Simulations based upon an actual vessel are used to illustrate discussions and support assertions. It is shown that SFCLs, even with relatively small impedances, are highly effective at reducing prospective fault currents; the impact that higher resistance values has on fault current reduction and maintaining the system voltage for other non-faulted elements of the system is also presented and it is shown that higher resistance values are desirable in many cases. It is demonstrated that the exact nature of the SFCL application will depend significantly on the vessel's electrical topology, the fault current contribution of each of the generators, and the properties of the SFCL device, such as size, weight, critical current value and recovery time.
ATTACHMENT AND WELL-BEING AttAchment , Positive Feelings About being A lesbiAn , Perceived generAl suPPort , And Well-being

847 This study was an undergraduate research project conducted by Julia D. Keleher at Iowa State University under the supervision of Meifen Wei. This study was presented at the 117th Annual Convention of the American Psychological Association, Toronto, Canada, August 2009. Address correspondence to Julia D. Keleher at juliakeleher@gmail.com; or Meifen Wei, Department of Psychology, W112 Lagomarcino Hall, Iowa State University, Ames, IA 50011-3180; E-mail: wei@iastate.edu. KELEHER ET AL. ATTACHMENT AND WELL-BEING
The Statistical Analysis of Longitudinal Clonal Data on Oligodendrocyte Generation

This paper is concerned with the analysis of the generation of oligodendrocytes from oligodendrocyte-type 2 astrocytes progenitor cells in tissue culture using longitudinal observations on clonal growth. Our approach is based on a multi-type age-dependent branching process, and the statisical analyses are conducted using a simulated pseudo maximum likelihood estimator. We evaluate the performance of our method in a simulation study, and apply it to experimental data on the growth of clones of oligodendrocytes.
Analysis of the tropical tropopause layer using the Nonhydrostatic Icosahedral Atmospheric Model (NICAM): 2. An experiment under the atmospheric conditions of December 2006 to January 2007

[1] The roles of deep convection and generated waves in the Tropical Tropopause Layer (TTL) are investigated using a global nonhydrostatic model, the Nonhydrostatic Icosahedral Atmospheric Model (NICAM), which runs on the Earth Simulator with a horizontal spacing of 7 km. The model data, which successfully simulated a Madden-Julian Oscillation (MJO) event for the period between 15 December 2006 and 15 January 2007, are analyzed. The frequency of deep convective clouds that reach the TTL is one of the key diagnostics for dehydration and transport. The present results revealed that the proportion of cumulus clouds that penetrate the lapse-rate tropopause and the bottom boundary of the TTL (defined as the lapse rate minimum) is ∼0.5% and ∼20%, respectively, in the region between 5°S and 5°N. This result is reasonably consistent with atmospheric observations. Deep convective activity that reaches the TTL was observed over southern Africa, the Indian Ocean, the Indonesian maritime continent, the western Pacific, and southern America. Deep convection over the continents was most active during the local evening period. Over the oceans, high clouds reaching the tropopause were seen over the Indian Ocean and the seas around Java, where two tropical cyclones were generated. Prominent diurnal variations in tropopause temperature associated with deep convection occurred over the Indonesian maritime continent. These diurnal variations were superimposed on large, low-frequency temperature variations associated with equatorial Kelvin waves generated by the MJO convection. Probably because of coarse vertical resolution, temperature variations simulated by the NICAM are larger than those in the real atmosphere. The two tropical cyclones caused relatively large tropopause temperature variations with a cyclone scale (∼500 km horizontally). The gravity waves generated by tropical cyclones cause small tropopause temperature variations that extend for 1000 km from the cyclone. We conclude that the Kelvin waves associated with the MJO convection cause the largest amplitude of temperature variations in the TTL and that tropical cyclones and diurnal variations of convective activity have large local impacts on temperature variations in the TTL.
High-speed, high-sensitivity aerosol fluorescence spectrum detection using a 32-anode photomultiplier tube detector

We employ a 32-anode photomultiplier tube (PMT) in a fluorescence detection system and demonstrate its ability to record broad fluorescence spectra at frame rates in excess of 1.4×103 Hz, which is 56× faster than the frame rate of an intensified charge coupled device detector. The multi-anode PMT has single-photon detectable sensitivity. A new data acquisition and processing system for the multi-anode PMT, together with the system-controlling software, has been developed. The performance characteristics of the fluorescence detection system, including the data rate capability, dynamic range, signal-to-noise ratio, and crosstalk among the different anodes, are reported. The 32-anode PMT and acquisition system are suitable for a real-time, field-portable, multichannel optical analyzer.
Better the Devil You Know? Autocracy, State Failure, and Human Rights

This paper tests an essential Hobbesian claim on order and the state of nature by asking: are human rights systematically worse under a stable autocrat or in a failed autocracy? With the rising incidence of autocratic failure, it is important to know exactly how detrimental failures are to human rights. This paper uses currently available data to compare physical integrity rights under periods of autocratic failure to the same rights under autocratic stability, concluding that physical integrity rights are systematically far worse in failed autocracies. The absence of central authority appears to be the root cause behind this difference, though the proximate cause seems to lie firmly with warring factions that develop in light of that absence.
Deep neural network based load forecast

Accurate electrical load forecast has great economic and social value. In this paper, we study deep neural networks based load forecast approaches. We first analyse the critical features related to load forecast. Then we present details of deep neural networks and pre-training technologies, including RBM pre-training and discriminative pre-training. We compare the performances of different neural network models and show the advantages of the proposed methods using a rather large data set of loads.
Experimental analysis of orthogonal micro-machined surface features and chip morphology of AISI1215 steel by using EBSD method

In this work analysis of fundamental aspects of orthogonal microcutting was carried out in terms of variables like shear angle, chip thickness, chip morphology as a function of cutting speed, depth of cut, tool rake angle and heat treatment provided to the work specimen. Analysis of results shows that the material flow pattern at low cutting speed is highly inhomogeneous, which affects segmented chip formation. As the uncut chip thickness approaches the minimum chip thickness, chips are formed by shearing of the workpiece, with some elastic deformation still occurring.At the highest depth of cut of 100 μm, shear angle is fairly dependent on the rake angle. AISI 1215 steel heat treated at 1200C, shows the lowest shear angle at all the depths of cut at 5 or 10 of rake angle. Analyses of chip segment per unit length show that, the number of segments reduces as the rake angle increases for all the four work materials that were heat treated at the various temperatures.
Intraspecific genetic variation in complex assemblages from mitochondrial metagenomics: comparison with DNA barcodes

Metagenomic shotgun sequencing, using Illumina technology, and de novo genome assembly of mixed field‐collected samples of invertebrates readily produce mitochondrial genome sequences, allowing rapid identification and quantification of species diversity. However, intraspecific genetic variability present in the specimen pools is lost during mitogenome assembly, which limits the utility of ‘mitochondrial metagenomics’ for studies of population diversity. Using 10 natural communities (>2600 individuals) of leaf beetles (Chrysomelidae), DNA variation in the mitochondrial cox1‐5′ ‘barcode’ was compared for Sanger‐sequenced individuals and Illumina shotgun‐sequenced specimen pools. Generally, only a single mitochondrial contig was assembled per species, even in the presence of intraspecific variation. Ignoring ambiguity from the use of two different assemblers, the cox1 barcode regions from these assemblies were exact nucleotide matches of a Sanger‐sequenced barcode in 90·7% of cases, which dropped to 76% in assemblies from samples with large intra‐ and interspecific variability. Nucleotide differences between barcodes from both data types were almost exclusively in synonymous 3rd codon positions, although the number of affected sites was very low, and the greatest discrepancies were correlated with poor quality of Sanger sequences. Unassembled shotgun reads were also used to score single nucleotide polymorphisms and to calculate intraspecific nucleotide diversity (pi) for all available populations at each site. These values correlated with Sanger‐sequenced cox1 variation but were significantly higher. Overall, the assemblage‐focused shotgun sequencing of pooled samples produced nucleotide variation data comparable to the well‐established specimen‐focused Sanger approach. The findings thus extend the application of mitochondrial metagenomics of complex biodiversity samples to the estimation of diversity below the species level.
Una propuesta de control por modos deslizantes para procesos con tiempo muerto variable

This paper aims to show a way to improve the transient response of sliding mode controllers for variable dead time processes. The sliding mode controller is based on a first-order-plus-dead time model of the process. The improvement consists in switching the integral term of the sliding surface when modeling errors or the parameters change with the process inputs. The controller is a fixed structure with a set of tuning equations as a function of the characteristic parameters of the model. Simulations on a nonlinear process with variable dead time judge the controller performance.
Implementing a render plugin for 3ds Max using the Autodesk RapidRT path tracer

The aim of this thesis was to research the feasibility of implementing a render plugin for Autodesk 3ds Max 2012 using the ray tracer RapidRT, also developed by Autodesk. The focus was primarily on investigating RapidRT’s capabilities as a render plugin, how to translate a 3D scene from 3ds Max to RapidRT, and also the visual quality of the rendered images. Two versions of the plugin were made using different versions of RapidRT. The resulting plugins, although not complete in functionali-ty, shows that using RapidRT as a render plugin in 3ds Max is feasible. The results show that the plugins can be used to render images with vis-ual quality on par with integrated renderers, and that they can translate 3D scenes from 3ds Max to RapidRT and produce images close in ap-pearance to those produced by these renderers.
Cooperating Techniques for Extracting Conceptual Taxonomies From Text

The current abundance of electronic documents requires automatic techniques that support the users in understanding their content and extracting useful information. To this aim, it is important to have conceptual taxonomies that express common sense and implicit relationships among concepts. This work proposes a mix of several techniques that are brought to cooperation for learning them automatically. Although the work is at a preliminary stage, interesting initial results suggest to go on extending and improving the approach.
DEVELOPMENT OF BROADBAND LOW ACTUATION VOLTAGE RF MEM SWITCHES

Low insertion loss, high isolation RF MEM switches have been thought of as one of the most attractive devices for space-based reconfigurable antenna and integrated circuit applications. Many RF MEMS switch topologies have been reported and they all show superior RF characteristics compared to semiconductor-based counterparts. At the University of Illinois, we developed state-of-the-art broadband low-voltage RF MEM switches using cantilever and hinged topologies. We demonstrated promising sub-10 volts operation for both switch topologies.The switches have an insertion loss of less than 0:1 dB, and an isolation of better than 25 dB over the frequency range from 0.25 to 40 GHz. The RF Model of the MEM switch was also established. The low voltage RF MEM switches will provide a solution for low voltage and highly linear switching methods for the next generation of broadband RF, microwave, and millimeter-wave circuits.
Event marketing and event sponsorship: can too much of a ‘good’ thing harm the brand?

Event marketing and event sponsorship represent some of the fastest growing communication tools organizations use today. Yet, while related in practice, little research has examined them together. In addition, most event marketing and event sponsorship research focuses on linear relationships with consumer outcomes, overlooking non-linear links with brand performance. We address these issues by distinguishing between event marketing and non-proprietary event sponsorship, developing a framework of their quadratic relationships with brand performance, and testing this framework on 207 UK managers. Structural equation modeling results suggest invert-U relationships exist between the two communication tools and brand performance. Findings are discussed.
Art Teaching and Creative Technologies: Interactive Graphic Novels Foster Thinking and Artistic Creation

At the beginning of the 21st century graphic novels faced a challenge. The appearance of comic strips on the internet creates more freedom. New features are provided to the creator and the reader. The remarkable form of graphic novels with the required choice of images and words is familiar to students of all levels due to their engagement with new technologies. Interactive graphic novels expand the boundaries of the novel with the particularity of using the audio-visual and verbal modes of expression. Interactive graphic novels immerse users into the storylines in an exciting way and allow them to become active participants in the content. They are not printed on good quality paper; interactive graphic novels are not books (not at least in the traditional, physical sense), but they maintain the same way of production and methodology. They are a hybrid type, with panels, visualisation and sound that resemble digital comics, videogames, but there is the "fell/sense" of reading. They have developed a complex vocabulary, visual, acoustic and verbal which has a significant influence on the understanding of the story. Larger narratives achieve the complexity and density of story. It is not just a "scrolling" process, that is it does not restrict the reader to a dull / restrictive navigation. It is especially important that they offer the user the freedom to navigate. The interactive collaboration of image, sound and word is a novel combination of elements in a web browser, offering a wealth of information, freedom of choice and practice of creativity. The subject matter is varied and the illustration does not depict the plot, but it is an integral part of the medium, as does the audio investment. Enrichment acts as a challenge that does not lead the reader to a surface reading. https://doi.org/10.26803/ijlter.17. 6.10
Some fast methods for fitting some one-parameter spatial models

It is common in geographic modelling to use a one-parameter spatial model to specify the inverse covariance matrix in terms of I-bW, for some known matrix W. Exact Gaussian maximum likelihood estimation of b requires evaluation of the determinant of the covariance matrix. For large data sets, this evaluation of the determinant can be slow and good approximations can be useful. Seventy regional configurations are used to consider some approximations to the determinant of I-bW that are fast to evaluate, and their usefulness is compared.
INFLUENCE OF MUSCLE ACTIVITY ON SHOOTING PERFORMANCE IN ARCHERY: PRELIMINARY FINDINGS

The use of proximal muscle is advocated for consistent archery shooting due to higher tolerance for fatigue. Muscle activity was subject of investigation in several archery studies. But thus far variation in muscle activity has been ignored. This study presents the preliminary findings of the influence of proximal muscle activity and variation on score and arrow release speed in Archery. Subjects were three Malaysian National archers shooting 29-36 arrows from 70 meter distance. Surface electromyography (EMG) was recorded for triceps (bilateral), left deltoid and right trapezius muscles. Arrow release speed was recorded with a speed radar gun. Linear and curvilinear associations of muscle activation and variation with score and speed are presented. Findings show each archer has different muscle determinants influencing score and speed.
Quantum Multicriticality near the Dirac-Semimetal to Band-Insulator Critical Point in Two Dimensions: A Controlled Ascent from One Dimension

We compute the effects of generic short-range interactions on gapless electrons residing at the quantum critical point separating a two-dimensional Dirac semimetal (DSM) and a symmetry-preserving band insulator (BI). The electronic dispersion at this critical point is anisotropic ($E_{\mathbf k}=\pm \sqrt{v^2 k^2_x + b^2 k^{2n}_y}$ with $n=2$), which results in unconventional scaling of physical observables. Due to the vanishing density of states ($\varrho(E) \sim |E|^{1/n}$), this anisotropic semimetal (ASM) is stable against weak short-range interactions. However, for stronger interactions the direct DSM-BI transition can either $(i)$ become a first-order transition, or $(ii)$ get avoided by an intervening broken-symmetry phase (BSP). We perform a renormalization group analysis by perturbing away from the one-dimensional limit with the small parameter $\epsilon = 1/n$, augmented with a $1/n$ expansion (parametrically suppressing quantum fluctuations in higher dimension). We identify charge density wave (CDW), antiferromagnet (AFM) and singlet s-wave superconductor as the three dominant candidates for the BSP. The onset of any such order at strong coupling $(\sim \epsilon)$ takes place through a continuous quantum phase transition across multicritical point. We also present the phase diagram of an extended Hubbard model for the ASM, obtained via the controlled deformation of its counterpart in one dimension. The latter displays spin-charge separation and instabilities to CDW, spin density wave, and Luther-Emery liquid phases at arbitrarily weak coupling. The spin density wave and Luther-Emery liquid phases deform into pseudospin SU(2)-symmetric quantum critical points separating the ASM from the AFM and superconducting orders, respectively. Our results can be germane for a uniaxially strained honeycomb lattice or organic compound $\alpha$-(BEDT-TTF)$_2\text{I}_3$.
Critical realism and political ecology

Much discussion of critical realism and environmental issues has focused on philosophical debates concerning the dichotomies of nature/ society, people/ animals, or women/ men (e.g. Benton, this volume; Jackson, 1997). Yet in addition, critical realist arguments are also relevant to debates concerning environmental degradation and the management of ecological resources. The aim of critical realist research on environmental degradation is to highlight how scientific explanations of environmental change provide only partial insights into complex biophysical processes, and that existing models of explanation reflect the agendas of the societies that created them. Such explanations are problematic as they may only address certain aspects of biophysical change. Moreover, they may not represent the interests of social groups not included in the science process, particularly in developing countries.
Success Stories in Knowledge Management Systems

Historically, information systems have focused on capturing, storing, managing, and reporting explicit knowledge. Organizations today recognize the need to integrate both explicit and tacit knowledge in formal information systems. Knowledge management continues to be a critical strategy for an organization to achieve a sustainable competitive advantage, and consequently succeed in today's knowledge-based economy. Knowledge management systems (KMS) are a class of information systems that manage, store and distribute knowledge. Knowledge management systems have proliferated in practice. In turn, theoretical research on knowledge management and knowledge management systems has proliferated. Knowledge management systems have emerged as powerful sources of competitive advantage. In this paper, we describe the characteristics and concepts of knowledge management systems. We explain how these systems transform modern organizations to high levels of success and present two successful cases that demonstrate this principal. We conclude with a summary of success factors that were common within two successful knowledge management system implementations.
The 2006 International Arab Conference on Information Technology ( ACIT ' 2006 ) Reinforcement Learning through Supervision for Autonomous Agents

Reinforcement Learning (RL) is a class of model-free learning control methods that can solve Markov Decision Process (MDP) problems. However, one difficulty for the application of RL control is its slow convergence, especially in MDPs with continuous state space. In this paper, a modified structure of RL is proposed to accelerate reinforcement learning control. This approach combines supervision technique with the standard Qlearning algorithm of reinforcement learning. The a priori information is provided to the RL learning agent by a direct integration of a human operator commands (a.k.a. human advices) or by an optimal LQ-controller, indicating preferred actions in some particular situations. It is shown that the convergence speed of the supervised RL agent is greatly improved compared to the conventional Q-Learning algorithm. Simulation work and results on the cart-pole balancing problem and learning navigation tasks in unknown grid world with obstacles are given to illustrate the efficiency of the proposed method.