Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiency Enhancement of Leakage Current Reduction in Three Phase Transformerless Solar Systems

This paper presents a modified z-source inverter which is an effective method for reduction of leakage current in three phase transformer less grid connected PV systems. Another modulation technique along with z-source used are space vector pulse width modulation technique which improves the accuracy of leakage current by maintaining common mode voltage (CMV) constant. The new topology only requires an potential isolator which stabilize the leakage current output from the z-source inductanceand a fast recovery diode comparing with original structure. Simulation results for the three-phase transformerless PV system operating in two cases, i.e., connected to a grid and connected to a grounded RL load, are presented. The SVM control algorithm presented in this paper is implemented through Matlab/Simulink tool and verified. Index Terms: Energy conversion, photovoltaic (PV) power systems, pulse width-modulated power converters.
A Novel Multi-Objective Self-Organizing Migrating Algorithm

In the paper, a novel stochastic Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) is introduced. For the search of optima, MOSOMA employs a migration technique used in a single-objective Self Organizing Migrating Algorithm (SOMA). In order to obtain a uniform distribution of Pareto optimal solutions, a novel technique considering Euclidian distances among solutions is introduced. MOSOMA performance was tested on benchmark problems and selected electromagnetic structures. MOSOMA performance was compared with the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Strength Pareto Evolutionary Algorithm 2 (SPEA2). MOSOMA excels in the uniform distribution of solutions and their completeness.
Characterization of DNA bio-bonds for meso-scale self-assembly

In this paper, we have investigated the use of DNA hybridization as the basis for the production of new mesoscale components. AFM experimental results are studied and compared to two theoretical approaches: molecular and thermodynamic. We explain how and why DNA hybridization process can provide a good bond to self assemble components, and how molecular modelling methods allow further understanding of the physical mechanism of this process. Furthermore, the strength interaction of DNA complementary strands is measured and analyzed using statistical tools. These results are then compared to the theoretical approaches.
Reproductive Biology and Endocrinology Isolation and Characterization of Bovine Herpesvirus 4 (bohv-4) from a Cow Affected by Post Partum Metritis and Cloning of the Genome as a Bacterial Artificial Chromosome

Background: Bovine herpesvirus 4 (BoHV-4) is a gammaherpesvirus with a Worldwide distribution in cattle and is often isolated from the uterus of animals with postpartum metritis or pelvic inflammatory disease. Virus strain adaptation to an organ, tissue or cell type is an important issue for the pathogenesis of disease. To explore the mechanistic role of viral strain variation for uterine disease, the present study aimed to develop a tool enabling precise genetic discrimination between strains of BoHV-4 and to easily manipulate the viral genome.
A decentralized solution to the DC-OPF of interconnected power systems

This paper presents a new method for the decentralized solution of the DC optimal power flow (OPF) problem in large interconnected power systems. The method decomposes the overall OPF problem of a multiarea system into independent OPF subproblems, one for each area. The solutions of the OPF subproblems of the different areas are coordinated through a pricing mechanism until they converge to the global OPF solution. The prices used for the coordination of the subproblem solutions are the prices of electricity exchanges between adjacent areas. Test results from the application of the method to the three-area RTS-96 and the Balkan power system are reported.
NIMEFI: Gene Regulatory Network Inference using Multiple Ensemble Feature Importance Algorithms

One of the long-standing open challenges in computational systems biology is the topology inference of gene regulatory networks from high-throughput omics data. Recently, two community-wide efforts, DREAM4 and DREAM5, have been established to benchmark network inference techniques using gene expression measurements. In these challenges the overall top performer was the GENIE3 algorithm. This method decomposes the network inference task into separate regression problems for each gene in the network in which the expression values of a particular target gene are predicted using all other genes as possible predictors. Next, using tree-based ensemble methods, an importance measure for each predictor gene is calculated with respect to the target gene and a high feature importance is considered as putative evidence of a regulatory link existing between both genes. The contribution of this work is twofold. First, we generalize the regression decomposition strategy of GENIE3 to other feature importance methods. We compare the performance of support vector regression, the elastic net, random forest regression, symbolic regression and their ensemble variants in this setting to the original GENIE3 algorithm. To create the ensemble variants, we propose a subsampling approach which allows us to cast any feature selection algorithm that produces a feature ranking into an ensemble feature importance algorithm. We demonstrate that the ensemble setting is key to the network inference task, as only ensemble variants achieve top performance. As second contribution, we explore the effect of using rankwise averaged predictions of multiple ensemble algorithms as opposed to only one. We name this approach NIMEFI (Network Inference using Multiple Ensemble Feature Importance algorithms) and show that this approach outperforms all individual methods in general, although on a specific network a single method can perform better. An implementation of NIMEFI has been made publicly available.
High-resolution THz spectrometer with kHz scan rates

A high-resolution THz-spectrometer without mechanical delay-line is demonstrated. THz-field-transients with 1 ns duration are acquired at 9 kHz scan-rate. Spectra up to 3 THz are obtained with a 40 dB signal-to-noise ratio within 250 s of total measurement time.
Interactive Transfer Function Specification for Direct Volume Rendering of Disparate Volumes Interactive Transfer Function Specification for Direct Volume Rendering of Disparate Volumes

Transfer functions play a critical role in feature detection through direct volume rendering in volumetric scalar fields. Because of the inherent difficulties of exploratory visualization, assisting the user in transfer function specification is still an important area of research. In particular, the disparate nature of simulated and measured volumetric data necessitates more flexibility in the specification process than existing tools provide. In this paper, we introduce a framework that combines elements of existing techniques as well as introduces new features to handle the diversity of volumetric datasets. The contributions of our work include a range mapping technique for assisting in transfer function specification for high dynamic range data, an algorithm for combining multiple transfer functions into ensembles that allow multiple specification techniques to be used collectively, and an intuitive method for specifying transfer functions for multiple classes of time-varying data.
Convergence analysis of a variable step-size normalized LMS adaptive filter algorithm

This paper investigates the convergence properties of a variable step normalized LMS (VSNLMS) adaptive filter algorithm. Instead of a fixed step-size used in the conventional normalized LMS algorithm, the step-size of the algorithm under study is updated in each iteration, based on an expression related to the output errors. The variable step-size improves the convergence speed, while sacrificing little in complexity. For an application where the adaptive filter is used to track a time varying channel it is shown that the step-size converges towards its optimum value. Simulation results are presented to support the analysis.
Broad Antiviral Activity of Carbohydrate-Binding Agents against the Four Serotypes of Dengue Virus in Monocyte-Derived Dendritic Cells

Background Dendritic cells (DC), present in the skin, are the first target cells of dengue virus (DENV). Dendritic cell-specific intercellular adhesion molecule 3-grabbing non-integrin (DC-SIGN) is present on DC and recognizes N-glycosylation sites on the E-glycoprotein of DENV. Thus, the DC-SIGN/E-glycoprotein interaction can be considered as an important target for inhibitors of viral replication. We evaluated various carbohydrate-binding agents (CBAs) against all four described serotypes of DENV replication in Raji/DC-SIGN+ cells and in monocyte-derived DC (MDDC). Methodology/Principal Findings A dose-dependent anti-DENV activity of the CBAs Hippeastrum hybrid (HHA), Galanthus nivalis (GNA) and Urtica dioica (UDA), but not actinohivin (AH) was observed against all four DENV serotypes as analyzed by flow cytometry making use of anti-DENV antibodies. Remarkably, the potency of the CBAs against DENV in MDDC cultures was significantly higher (up to 100-fold) than in Raji/DC-SIGN+ cells. Pradimicin-S (PRM-S), a small-size non-peptidic CBA, exerted antiviral activity in MDDC but not in Raji/DC-SIGN+ cells. The CBAs act at an early step of DENV infection as they bind to the viral envelope of DENV and subsequently prevent virus attachment. Only weak antiviral activity of the CBAs was detected when administered after the virus attachment step. The CBAs were also able to completely prevent the cellular activation and differentiation process of MDDC induced upon DENV infection. Conclusions/Significance The CBAs exerted broad spectrum antiviral activity against the four DENV serotypes, laboratory-adapted viruses and low passage clinical isolates, evaluated in Raji/DC-SIGN+ cells and in primary MDDC.
Transferring State Abstractions Between MDPs

Decision makers that employ state abstraction (or state aggregation) usually find solutions faster by treating groups of states as indistinguishable by ignoring irrelevant state information. Identifying irrelevant information is essential for the field of knowledge transfer where learning takes place in a general setting for multiple domains. We provide a general treatment and algorithm for transferring state abstractions in MDPs.
A Survey of Weak Mg II Absorbers at Redshift ⟨z⟩ = 1.78

The exact nature of weak Mg II absorbers [those with Wr(2796) < 0.3 Å] is a matter of debate, but most are likely related to areas of local star formation or supernova activity outside of giant galaxies. Using 18 QSO spectra obtained with the Ultraviolet and Visual Echelle Spectrograph (UVES) on the Very Large Telescope (VLT), we have conducted a survey for weak Mg II absorbers at 1.4 < z < 2.4. We searched a redshift path length of Δz = 8.51, eliminating regions badly contaminated by atmospheric absorption so that the survey is close to 100% complete to Wr(2796) = 0.02 Å. We found a total of nine weak absorbers, yielding a number density of absorbers of dN/dz = 1.06 ± 0.12 for 0.02 ≤ Wr(2796) < 0.3 Å. Narayanan et al. found dN/dz = 1.00 ± 0.20 at 0 < z < 0.3, and Churchill et al. found dN/dz = 1.74 ± 0.10 at 0.4 < z < 1.4. Therefore, the population of weak Mg II absorbers appears to peak at z ~ 1. We explore the expected evolution of the absorber population subject to a changing extragalactic background radiation (EBR) from z = 0.9 to z = 1.78 (the median redshift of our survey), and find that the result is higher than the observed value. We point out that the peak epoch for weak Mg II absorption at z ~ 1 may coincide with the peak epoch of global star formation in the dwarf galaxy environment.
Developing Usability Tools and Techniques for Designing and Testing Web Sites

Introduction Web sites are developed by a wide variety of companies from small one or two person operations to large corporations with entire teams and departments devoted to web development work. Many of the smaller companies have no usability professionals to help with the design of their sites; many of the companies don’t even realize they should have usability professionals assess their sites Often, budget constraints prohibit hiring a usability professional. Furthermore, the time line for development may not allow for usability testing and iterative design.
Bullying in a third grade classroom

Kristen Falco BULLYING IN A THIRD GRADE CLASSROOM 2007/08 Professor David C. Hespe Master of Science in Teaching The purpose of this research study was to determine how teaching students about bullying affects a third grade classroom. Students in a third grade classroom were given a pre-unit survey to determine their knowledge and experience with bullying. A four week unit on bullying was then taught to all students. Each week students were given a separate survey to determine their experience with bullying throughout the week. By the last week of the study, the number of bullying incidents was reduced by 50% showing that educating students about bullying reduced the amount of bullying in the class and created a more caring classroom environment. Implications for implementing bullying education programs in classrooms and school wide were discussed.
LPV Model and Its Application in Web Server Performance Control

Performance management is an important issue for Internet servers working in the unpredictable and highly dynamic environment. Feedback control is considered as a potential theoretical tool. However, due to the weakness in capturing the nonlinear natures of Internet servers, the classical linear control designs have been demonstrated ineffectiveness when handling varying workloads to provide sufficient performance guarantees. This paper attempts to apply linear-parameter-varying (LPV) approaches to modeling and controlling the Web server system for absolute connection delay guarantee. To achieve these goals, a LPV model, wherein the workload intensity is considered as the scheduling parameter, is identified experimentally to approximate the Web server system and then a LPV controller is designed for the LPV model. Model validation proves the LPV model is much more accurate than the LTI model with the same order. Closed-loop simulations under fluctuated workloads demonstrate that, the performance of the LPV controller overpasses the proportion-integral controller. By exploring the nature of dependence of server model on the workload intensity, the proposed LPV approach for absolute delay guarantee may find its applications in many other server performance control problems e.g., admission control, quality-of-service (QoS) control and power control.
Particle Acceleration in Relativistic Collisionless Shocks: Fermi Process at Last?

We present evidence that relativistic shocks propagating in unmagnetized plasmas can self-consistently accelerate particles. We use long-term two-dimensional particle-in-cell simulations to study the well-developed shock structure in unmagnetized pair plasma. The particle spectrum downstream of such a shock consists of two components: a relativistic Maxwellian, with a characteristic temperature set by the upstream kinetic energy of the flow, and a high-energy tail, extending to energies >100 times that of the thermal peak. This high-energy tail is best fitted as a power law in energy with index –2.4 ± 0.1, modified by an exponential cutoff. The cutoff moves to higher energies with time of the simulation, leaving a larger power-law range. The number of particles in the tail is ~1% of the downstream population, and they carry ~10% of the kinetic energy in the downstream region. Investigating the trajectories of particles in the tail, we find that the energy gains occur as particles bounce between the upstream and downstream regions in the magnetic fields generated by the Weibel instability. We compare this mechanism to the first-order Fermi acceleration and set a lower limit on the efficiency of the shock acceleration process.
Dreams in Temporal Lobe Epilepsy: A study on the effects of amygdala activation on emotion in dreaming

Dreaming has been said to arise from the temporal lobe, with emotions directing the plot of dreams. The amygdala is highly active during dreaming sleep and is therefore implicated in dreaming. The amgydala is implicated in FEAR and ANGER in waking life, so it is inferred that it is responsible for the production of these experiences in dreaming. Individuals with temporal lobe epilepsy (TLE) experience epileptiform activity in the temporal that probably increased activation of the amygdala. Previous studies found TLE was associated with increased rates of dysphoric dreaming in TLE when investigating recurrent dreams. Those studies focused on recurrent dreams, while the current study focused on non-recurrent dreams. The study aimed to establish if dreams from individuals with TLE contained higher rates of FEAR and ANGER compared to other emotions in these dreams. This study also aimed to establish if dreams from individuals with TLE differed from those without TLE in rates of FEAR and ANGER. Most recent dream reports were collected from eight participants with TLE and from eight participants without TLE. The Affective Neuroscience Dream Scale (ANDS) was developed for this study to categorise emotions according to underlying neurobiology. The reliability and validity of this scale was assessed. The ANDS was used to code the emotions in these dream reports. Within group analyses showed that FEAR and ANGER were not consistently higher than other basic emotion for the TLE group. Between group analyses found no differences in any of the eight basic emotions, in amygdala-related emotions, in non-amygdala-related emotions, or in emotions when divided according to valence. TLE was well-regulated in participants, so these results indicate a normal dreaming pattern is experienced by individuals whose TLE is well-regulated. This indicates that once the disruption to the amgydala is controlled, dysphoric dreaming is reduced.
Drive video summarization based on double articulation structure of driving behavior

This paper provides a novel summarization method for drive videos using driving behavior, such as driver maneuvers and vehicle reaction, recorded simultaneously alongside video. We segmented the driving behavior into chunks via an unsupervised manner and summarized the drive videos using the chunks, i.e., the switching points of the chunks were emphasized and the middle of the chunks were compressed. As the result of subjective evaluation, we found that the chunks were more consistent with human-recognized driving context than the image-based method and that the summarized video was more suitable for reviewing entire driving scenes, i.e., our method achieved an efficient summarization.
Complete genome sequence of the halophilic bacterium Spirochaeta africana type strain (Z-7692T) from the alkaline Lake Magadi in the East African Rift

Spirochaeta africana Zhilina et al. 1996 is an anaerobic, aerotolerant, spiral-shaped bacterium that is motile via periplasmic flagella. The type strain of the species, Z-7692T, was isolated in 1993 or earlier from a bacterial bloom in the brine under the trona layer in a shallow lagoon of the alkaline equatorial Lake Magadi in Kenya. Here we describe the features of this organism, together with the complete genome sequence, and annotation. Considering the pending reclassification of S. caldaria to the genus Treponema, S. africana is only the second ‘true’ member of the genus Spirochaeta with a genome-sequenced type strain to be published. The 3,285,855 bp long genome of strain Z-7692T with its 2,817 protein-coding and 57 RNA genes is a part of the GenomicEncyclopedia ofBacteria andArchaea project.
Asymptotic behavior of Bayesian nonparametric procedures

Asymptotics plays a crucial role in statistics. The theory of asymptotic consistency of Bayesian nonparametric procedures has been developed by many authors, including Schwartz (1965), Barron, Schervish and Wasserman (1999), Ghosal, Ghosh and Ramamoorthi (1999), Ghosal, Ghosh and van der Vaart (2000), Shen and Wasserman (2001), Walker and Hjort (2001), Walker (2004), Ghosal and van der Vaart (2007) and Walker, Lijoi and Prunster (2007). This theory is mainly based on existence of uniformly exponentially consistent tests, computation of a metric entropy and measure of a prior concentration around the true value of parameter. However, both the test condition and the metric entropy condition depend on models but not on prior distributions. Because a posterior distribution depends on the complexity of the model only through its prior distribution, it is therefore natural to explore appropriate conditions which incorporate prior distributions. In this thesis we introduce the Hausdorff entropy and an integration condition, both of which incorporate prior distributions and moreover are weaker than the metric entropy condition and the test condition, respectively. Furthermore, we provide an improved method to measure the prior concentration. By means of these new quantities, we derive several types of general posterior consistency theorems and general posterior convergence rate theorems for i.i. d. and non-i.i. d. models, which lead to improvements in a number of currently known theorems and their applications. We also study rate adaptation for density estimation within the Bayesian framework and particularly obtain that the Bayesian procedure with hierarchical prior distributions for log spline densities and a finite number of models achieves the optimal minimax rate when the true density is HA¶lder-continuous. This result disconfirms a conjecture given by Ghosal, Lember and van der Vaart (2003). Finally, we find a new both necessary and sufficient condition on Bayesian exponential consistency for prior distributions with the Kullback-Leibler support property.
Manifestation of the pseudogap in ab-plane optical characteristics

A model in which a gap forms in the renormalized electronic density of state (DOS) with missing states recovered just above the pseudogap Δpg is able to give a robust description of the striking, triangular peak seen in the real part of the optical self-energy of underdoped cuprates. We use this model to explore the effect of the pseudogap on the real part of the optical conductivity and on the partial sum rule associated with it. An important result is that the optical spectral weight redistributes over a much larger frequency window than it does in the DOS.
Emotion Reasoning Based on Valency Patterns — a prototype annotation of causal relationships —

This paper proposes a valency-pattern-based method of emotion reasoning. To determine whether or not a sentence indicates an emotional situation, an attempt is made to annotate causal relationships for emotions to 14,819 valency patterns defined in the dictionary, ‘Nihon-go Goi Taikei’, which covers almost all Japanese verb senses. As a result, relationships for emotions were annotated to 5,606 patterns. The method was tested experimentally using a diary text, and was shown to have an accuracy of 63%. These results indicate that using valency patterns to determine causal relationships for emotions is a suitable method for emotion reasoning from text.
Applying Fuzzy CoCo to breast cancer diagnosis

Coevolutionary algorithms have received increased attention in the past few years within the domain of evolutionary computation. We combine the search power of coevolutionary computation with the expressive power of fuzzy systems, introducing a novel algorithm, Fuzzy CoCo: Fuzzy Cooperative Coevolution. We demonstrate the efficacy of Fuzzy CoCo by applying it to a hard, real-world problem-breast cancer diagnosis-obtaining the best results to date while expending less computational effort than formerly.