Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGN AND ANALYSIS OF SINGLE-STAGE BRIDGELESS BOOST- FLYBACK PFC CONVERTER WITH SNUBBER CIRCUIT

1ME, Power Electronics, Department of Electrical Engineering, University Visvesvarayya college of Engineering, Bangalore-560001, Karnataka, India 2Assistant Professor, Department of Electrical Engineering, University Visvesvarayya college of Engineering, Bangalore-560001, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Single stage bridgeless boost-Flyback PFC converter with the Snubber circuit is designed for output of 54V and 80W. The circuit is operated at the switching frequency of 60 KHz. This circuit is compared with the conventional Bridgeless Boost-Flyback PFC Converter by simulation results. The power factor is still improved by operating the input boost inductor in the Discontinuous mode. A single dc-link Capacitor is divided into two among which one is used as the Snubber Capacitor and the other is used as the dc-link Capacitor hence the voltage rating of the dc-link capacitor used in the circuit reduces. The Snubber circuit is employed to clamp the voltage spike of the switches which also improves the power transfer efficiency by utilizing the Leakage inductor energy.
NONLINEAR STOCHASTIC TIME-FRACTIONAL DIFFUSION EQUATIONS ON R: MOMENTS, HÖLDER REGULARITY AND INTERMITTENCY

We study the nonlinear stochastic time-fractional diffusion equations in the spatial domain R, driven by multiplicative space-time white noise. The fractional index β varies continuously from 0 to 2. The case β = 1 (resp. β = 2) corresponds to the stochastic heat (resp. wave) equation. The cases β ∈ ]0, 1[ and β ∈ ]1, 2[ are called slow diffusion equations and fast diffusion equations, respectively. Existence and uniqueness of random field solutions with measure-valued initial data, such as the Dirac delta measure, are established. Upper bounds on all p-th moments (p ≥ 2) are obtained, which are expressed using a kernel function K(t, x). The second moment is sharp. We obtain the Hölder continuity of the solution for the slow diffusion equations when the initial data is a bounded function. We prove the weak intermittency for both slow and fast diffusion equations. In this study, we introduce a special function, the two-parameter Mainardi functions, which are generalizations of the one-parameter Mainardi functions.
Translating Embeddings for Knowledge Graph Completion Utilizing Type Correlations

Knowledge graph embedding aims to project entities and relations into a continuous low-dimensional space. Typical structure-based embedding methods, such as TransE, are widely used on knowledge graph completion, which concentrate on embeddings with fact triples indicating relations between entities. In fact, such methods only use structural features to learn embeddings, but most knowledge graphs provide specific taxonomies for entities, which have not been well utilized by existing methods. In this paper, we propose a novel knowledge graph embedding method, which is able to take advantages of both fact triples and type information for entities. We assume that if two entities are correlated according to their belonging types, embeddings should be closer to each other in the low-dimensional space. In other words, when the categories of two entities are similar, they should hold similar relations. Based on this assumption, the embedding of an entity is responsible for both modeling the corresponding fact triples and modeling its type information in this model. Type information is encoded into a label for each entity, producing type-based label embeddings, which capture type correlations between entities. In this way, conventional embedding methods, which solely learn embeddings from fact triples, can be improved by reflecting type correlations between entities.
The MuMMER Data Set for Robot Perception in Multi-party HRI Scenarios

This paper presents the MuMMER data set, a data set for human-robot interaction scenarios that is available for research purposes1. It comprises 1h 29 min of multimodal recordings of people interacting with the social robot Pepper in entertainment scenarios, such as quiz, chat, and route guidance. In the 33 clips (of 1 to 4 min long) recorded from the robot point of view, the participants are interacting with the robot in an unconstrained manner.The data set exhibits interesting features and difficulties, such as people leaving the field of view, robot moving (head rotation with embedded camera in the head), different illumination conditions. The data set contains color and depth videos from a Kinect v2, an Intel D435, and the video from Pepper.All the visual faces and the identities in the data set were manually annotated, making the identities consistent across time and clips. The goal of the data set is to evaluate perception algorithms in multi-party human/robot interaction, in particular the re-identification part when a track is lost, as this ability is crucial for keeping the dialog history. The data set can easily be extended with other types of annotations.We also present a benchmark on this data set that should serve as a baseline for future comparison. The baseline system, IHPER2 (Idiap Human Perception system) is available for research and is evaluated on the MuMMER data set. We show that an identity precision and recall of ~80% and a MOTA score above 80% are obtained.
Understanding Civic Crowdfunding as a Mechanism for Leveraging Civic Engagement and Urban Innovation

This article studies the emergence of government-initiated civic crowdfunding platforms. Such platforms can be considered as governmental responses for bottom-up peer-to-peer support mechanisms related to urban innovation, which also allows top-down governance and governmental support systems for civic entrepreneurship. To better understand the implications of these innovative ICT-enabled interaction interfaces for collective urban innovation, this study investigates participation inequalities from the perspective of campaign instigators, using in-depth interviews (N=28), and from the perspective of the citizen-funder, using a survey (N=265). The analysis shows that urban crowdfunding practices mainly contribute to higher-level development of collective identities with increased neighborhood capacities. Although participation in such ICT-enabled interaction interfaces could reinforce digital inequalities and existing power balances, this research shows a more nuanced perspective, in which online and offline practices intertwine. Furthermore, while civic crowdfunding campaigns are driven by a traditional ‘participation elite’, the deliberation process on development projects involves new publics that are not typically engaged in civic activities. Hence, civic crowdfunding formulates a new mode of civic engagement in which institutional involvement acts as a trust broker between civic funders and civic entrepreneurs, as well as adding legitimacy to innovation processes in the public sphere.
GaN FET-Based CCM Totem-Pole Bridgeless PFC

Gallium nitride (GaN) technology has recently gained traction in power conversion applications due to the superior switching characteristics and improved figure of merit. Safety GaNs with low parasitic capacitance and zero reverse recovery lead to higher switching frequency and efficiency, opening up new applications and topology options. Continuous conduction mode (CCM) totem-pole PFC is an example topology that benefits from the GaN merits. Compared with commonly used dual-boost bridgeless PFC topologies, the CCM totem-pole bridgeless PFC reduces the number of semiconductor switches and boost inductors by half, while pushing peak efficiency above 98.5%. The root cause of current spike in the AC crossover region is analyzed and solutions are provided. A 750W totem-pole PFC prototype is built to characterize the experimental safety GaN with an integrated gate driver and demonstrate the performance improvements. Keywords-GaN; PFC; totem-pole; digital control
Cloning and expressing of vacA gene related segment with vacuolating activity of Helicobacter pylori

Objective:To obtain the antigen of recombinant vacuolating segment of Helicobacter pylori vacuolating cytotoxing by gene-engineering.Methods:The objective gene was cloned into PQE-30,sequenced and expressed using PCR and recombinant techniques.After expression,the antigenicity of recombinant protein was analyzed by Western blotting.Results:DNA sequence analysis identified that the sequence was integrated.Compared with standard strain AF361700,1.5% of the cloned gene was mutated,one amino acid radicle was changed.SDS-PAGE revealed the molecular weight of objective recombinant protein was 27 000 as it was predicted;the level of expression product was over 30%. Western blotting results showed the objective protein could be recognized by anti-serum against HP.Conclusion:This recombinant protein has perfect antigenicity,so it may be used as a protective antigen in preventing HP infection.
Do wages rise when corporate tax rates fall? Difference-in-Differences Analyses of the German Business Tax Reform 2000

We examine the direct incidence of the corporate income tax on wages, i.e. how far taxes on corporate income are directly shifted onto the workforce. We use data on 48,738 companies located in Germany, France and Great Britain over the period 1996-2005. We exploit the German Business Tax Reform 2000 (GBTR) in a quasi-experimental setting. In two separate difference-in-differences analyses, we use manufacturing companies in France and in Great Britain respectively as control groups for German manufacturing companies. We find significant and positive wage effects of the corporate income tax rate cut that was a main element of the GBTR. JEL Classifications: H22, H25, H32, H87
Testosterone Reduces Conscious Detection of Signals Serving Social Correction Implications for Antisocial Behavior

Elevated levels of testosterone have repeatedly been associated with antisocial behavior, but the psychobiological mechanisms underlying this effect are unknown. However, testosterone is evidently capable of altering the processing of facial threat, and facial signals of fear and anger serve sociality through their higher-level empathy-provoking and socially corrective properties. We investigated the hypothesis that testosterone predisposes people to antisocial behavior by reducing conscious recognition of facial threat. In a within-subjects design, testosterone (0.5 mg) or placebo was administered to 16 female volunteers. Afterward, a task with morphed stimuli indexed their sensitivity for consciously recognizing the facial expressions of threat (disgust, fear, and anger) and nonthreat (surprise, sadness, and happiness). Testosterone induced a significant reduction in the conscious recognition of facial threat overall. Separate analyses for the three categories of threat faces indicated that this effect was reliable for angry facial expressions exclusively. This testosterone-induced impairment in the conscious detection of the socially corrective facial signal of anger may predispose individuals to antisocial behavior.
Investment behavior, observable expectations, and internal funds: a comment on Cummins et al. (AER, 2006)

Cummins et al. (2006) construct a new measure of fundamentals, and show that the positive cash flow effects typically found in investment-Q models disappear when traditional Q is replaced with their new measure. Their results are not robust to small changes in their specification or in the dataset used to estimate their model. The explanatory power of cash flow does not disappear when replacing traditional Q with their new measure of Q it is never there to begin with. Investment's lack of sensitivity to cash flow may be because their data is biased towards firms with positive cash flow (it is negative for only 242 observations of 11431). This bias and our results mute their argument that the positive cash-flow effects obtained in such models may reflect a failure to control properly for fundamentals rather than the presence of financial constraints.
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned

A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason over the model. Natural Language Processing advances in syntax and semantics have made it possible to extract a limited form of meaning from sentences. Knowledge Representation research has shown that it is possible to model and reason over topics in interesting areas of human knowledge. It is useful for these two communities to reunite periodically to see where we stand with respect to the common goal of text understanding. In this paper, we describe a coordinated effort among researchers from the Natural Language and Knowledge Representation and Reasoning communities. We routed the output of existing NL software into existing KR software to extract knowledge from texts for integration with engineered knowledge bases. We tested the system on a suite of roughly 80 small English texts about the form and function of the human heart, as well as a handful of "confuser" texts from other domains. We then manually evaluated the knowledge extracted from novel texts. Our conclusion is that the technology from these fields is mature enough to start producing unified machine reading systems. The results of our exercise provide a performance baseline for systems attempting to acquire models from text.
Biological Flora of the British Isles: Fraxinus excelsior

This account presents information on all aspects of the biology of Fraxinus excelsior L. (Ash) that are relevant to understanding its ecological characteristics and behaviour. The main topics are presented within the standard framework of the Biological Flora of the British Isles: distribution, habitat, communities, responses to biotic factors, responses to environment, structure and physiology, phenology, floral and seed characters, herbivores and disease, history, and conservation. Fraxinus excelsior is a large forest tree, native throughout the main islands of Britain and much of mainland Europe. Seedlings are shade tolerant, but adults are not so it tends to be an intermediate successional species, invading gaps in mixed stands rather than forming extensive pure stands. Ash grows on a wide range of soils but is commonest on nutrient‐rich soils with a high base status and pH > 4.2, and is at its best on dry calcareous screes and fertile alluvial soils. Fraxinus excelsior is trioecious or subdioecious with male, hermaphrodite and female flowers and trees. Seed production is prolific with periodic higher producing mast years. Seeds are primarily wind‐dispersed, but they can float and be moved considerable distances along waterways. Germination is delayed by dormancy until usually the second spring after being shed. Ash is tolerant of drought, but intolerant of spring frosts and so is predicted to fare well under current climate change scenarios, and indeed has recently been expanding in range in Europe. However, ash health and survival is currently seriously compromised by ash dieback caused by the fungus Hymenoscyphus fraxineus (Chalara fraxinea) that has the potential to kill all but a very few resistant trees. Moreover, the emerald ash borer beetle Agrilus planipennis, a serious pest of ash species in N. America, has reached Europe (though not yet the British Isles) and poses an equally if not more serious long‐term threat to ash.
Analysis of the TV regularization and $H^{-1}$ fidelity model for decomposing animage into cartoon plus texture

We study the Osher-Sole-Vese model [11], which is the gradient flow of an energy consisting of the total variation functional plus an $H^{-1}$ fidelity term. A variational inequality weak formulation for this problem is proposed along the lines of that of Feng and Prohl [7] for the Rudin-Osher-Fatemi model [12]. A regularized energy is considered, and the minimization problems corresponding to both the original and regularized energies are shown to be well-posed. The Galerkin method of Lions [9] is used to prove the well-posedness of the weak problem corresponding to the regularized energy. By letting the regularization parameter $\epsilon$ tend to $0$, we recover the well-posedness of the weak problem corresponding to the original energy. Further, we show that for both energies the solution of the weak problem tends to the minimizer of the energy as $t \to \infty$. Finally, we find the rate of convergence of the weak solution of the regularized problem to that of the original one as $\epsilon \downarrow 0$.
Single molecule sequencing of THCA synthase reveals copy number variation in modern drug-type Cannabis sativa L

Cannabinoid expression is an important genetically determined feature of cannabis that presents clinical and legal implications for patients seeking cannabinoid specific therapies like Cannabidiol (CBD). Cannabinoid, terpenoid, and flavonoid marker assisted selection can accelerate breeding efforts by offering genetic tools to select for desired traits at an early stage in growth. To this end, multiple models for chemotype inheritance have been described suggesting a complex picture for chemical phenotype determination. Here we explore the potential role of copy number variation of THCA Synthase using phased single molecule sequencing and demonstrate that copy number and sequence variation of this gene is common and suggests a more nuanced view of chemotype prediction.
Dynamic State Estimation Based Protection : Laboratory Validation

The significant changes occurring on the power grid today with the increases in renewable resources at the transmission and distribution level along with their associated variability, new loads such as electric vehicles and other electronic loads the impact on traditional protection and control approaches is considerable. This added complexity imposes new challenges for the protection and control engineer in applying traditional approaches, many of these approaches date back to the early electromechanical relays. The time has come to investigate new methods that capitalize on the technological capability the industry has available today. The numerical relay increased its domination to the point that today it has almost completely displaced electromechanical and solid state relays. However, the capabilities of numerical relays are not fully utilized today; specifically, they simply mimic the logics that are developed for the electromechanical relays but with much more flexibility. Recent developments towards substation automation are utilizing the numerical relays for SCADA, communications and in general an integrated system for protection and control. These approaches indicate the recognition that numerical relays offer much more than simply mimicking protection functions of the past. We present a new protection scheme that is a generalization of differential protection. The approach is based on dynamic state estimation. Specifically, the protection scheme is based on continuously monitoring terminal voltages and currents of the component and other possible quantities such as tap setting, temperature, etc. as appropriate for the component under protection. The monitored data are utilized in a localized dynamic state estimation that continuously provides the dynamic state of the component. The dynamic state is then used to determine the health of the component. Tripping or no tripping is decided on the basis of the health of the component. The basic approach is described in the text of the paper. The feasibility has been tested in the laboratory. The experimental setup is described in the body of the paper. The laboratory tests have verified that present day microprocessors can perform the analytics required within the time interval of two successive data samples and therefore the setting-less protective device can operate continuously as any other numerical relay. The setting-less protection will be demonstrated in the field. A pilot project has been approved. In 21, rue d’Artois, F-75008 PARIS CIGRE US National Committee
Financial Sector Development & Growth : Re-examining the Nexus By

The paper tries to delve deeper into the relationship between financial sector development, broadly defined to go beyond financial deepening, and economic growth by using a new database including 65 countries (both industrial and developing ones) over the period 1960-99 and by also exploring new routes regarding the measurement of financial sector development. Empirical results obtained from the estimation of dynamic panel data models using various GMM estimators seem to suggest that financial sector development contributes to economic growth although the magnitude of the impact varies depending inter alia on the level of development (industrial vis-à-vis developing countries).
Power Angle Control of Virtual Synchronous Generator

Inverter-based distributed generators (DGs) can be operated in parallel comprising an isolated microgrid or connected to the main power system. In the first case there must be an advanced control system to adjust frequency and power sharing between inverters constituting the microgrid. In grid mode the DGs inject electrical power to grid without any contribution to rotating inertia that give the power system its distinctive stability characteristics and conventional control liability. Improvement to DGs by the relatively new control methods based on virtual synchronous generator (VSG) and synchronverter (SV) have been suggested to control such DGs to emulate conventional synchronous generator. By these methods a controlled amount of virtual inertia can be injected in mains besides load sharing. This paper suggests a control method of such systems based on direct control of power angle between inverter voltage and grid voltage. In this method the grid phase angle is directly computed from the grid 3-phase voltages without phased locked loop (PLL) or other synchronization methods. A linearized small signal model of power angle is used to implement this control method. The model can also emulate rotating inertia, injecting a controllable amount of energy into grid during frequency transients to enhance transient stability. Damping effect of damper bars is taken into account in model and proves to be effective in damping out oscillations.