Miracle-dz/UniFAR-FTUs huggingface dataset:
An Instantaneous Harmonic Decomposition Technique for Three-phase Current Based on Multiple Reference Coordinates

Current harmonic decomposition is important to power systems. Current signal is classified into stationary and non-stationary signal according to whether the parameters change with time. This study focuses on the instantaneous harmonic decomposition of three-phase permanent magnet synchronous motor currents in non-stationary process. First, based on the definition of the instantaneous frequency in non-stationary process, the concept of the spatial frequency based on the electrical angle is proposed. Under this definition, the spatial frequency no longer varies with the rotational speed. A new instantaneous harmonic decomposition method based on multiple reference coordinates is then proposed. To verify the effectiveness of the new method, it is used to analyse constructed currents and experimental currents. Finally, the new method is compared with other analysis methods and proved to be the most accurate and effective.
Densely Connected Convolution Network using Generative Adversarial Nets (GANs)

Synthesizing realistic images has been a challenge in machine learning, due to the images that are complex and highly dimensional, thus making them hard to model well. This paper proposes an extension to the Generative Adversarial Networks (GAN) namely DenseGAN to synthetically generate more challenging and more complex images such as the faces of people or cats which contain large amounts of features. The key innovation of this piece of work is to replace the traditional Convolutional Neural Network (CNN) in the discriminator with the newly Densely Connected Convolution Network (DenseNet); this aims at ensuring the maximum information flow of the discriminator layer and enhancing the gradient outpouring to the generator. Empirically, this proposal aims to show that the proposed DenseGAN is capable of creating realistic facial images. Furthermore, a detailed comparison between images generated by standard GANs, DCGAN and the new proposed model (DenseGAN) was conducted . The new model using CAT and CelebFaces Attributes (CelebA) dataset is executed and the results obtained from the generating task are demonstrated instead.
Collateralized Mortgage And the Subprime Crisis

This thesis set out to explain the securitization process of subprime mortgages in order to investigate if there exist inherent factors of the process that may have contributed to the recent subprime crisis. A thorough exposition of securitization theory is made together with simulations of how cash flows and credit risks are estimated by the market. We present two inherent factors that possibly have facilitated the exacerbation of the subprime crisis, how the transferring of risk is conducted and the complexity of the product which produce information asymmetry. We also find that the market standard model for estimating risk of Collateralized Mortgage Obligations, the reduced form one factor Gaussian Copula model, has weaknesses that makes the model sensitive to assumptions on the underlying assets. In our analysis we find it ex post puzzling to think that the market had so much confidence in the securitization of subprime mortgage loans to transform originally bad loans to safe investment vehicles.
III–V Semiconductor Single Nanowire Solar Cells: A Review

III–V semiconductor nanowires have gained intensive attention for solar cell applications due to their unique geometrical, optical, and electrical properties, as well as improved accessibility to a wider range of alloy compositions (and thus tunable bandgaps) and substrates (such as Si), which allows further exploration and implementation of various tandem solar cell designs to broaden and more efficiently harvest the absorption of the solar radiation. Herein, the development of this field with emphasis on single nanowire‐based solar cells is reviewed. First, nanowire synthesis methods are introduced, followed by important aspects of single nanowire fabrication and design consideration for high power conversion efficiencies (PCEs) in terms of light absorption and charge carrier separation and collection. Then, the reported nanowire solar cell performance based on different III–V semiconductor nanowire materials and structures is presented and analyzed. Finally, the strategies toward high efficiency and low cost solar cells are discussed.
VAIF

Developers use logs to diagnose performance problems in distributed applications. But, it is difficult to know a priori where logs are needed and what information in them is needed to help diagnose problems that may occur in the future. We summarize our work on the Variance-driven Automated Instrumentation Framework (VAIF), which runs alongside distributed applications. In response to newly-observed performance problems, VAIF automatically searches the space of possible instrumentation choices to enable the logs needed to help diagnose them. To work, VAIF combines distributed tracing (an enhanced form of logging) with insights about how response-time variance can be decomposed on the criticalpath portions of requests' traces.
Productive Online Discourse for Emergency Response

Despite the potential for antisocial and counter-productive social media behavior–particularly in the context of humanitarian assistance/disaster response (HA/DR)–there is a paucity of automated methods to address it. Current methods focus primarily on detecting hate speech and banning problematic content. We pro-pose an alternative strategy of using automated counter speech to focus not just on moderating uncivil behavior, but also the promotion of civil discourse. In this paper, we propose a novel framework to employ pre-trained language models to alleviate the bottlenecks in adoption of such counter speech, namely a lack of understanding on the dynamics of counter speech and a scarcity of well curated datasets, which are compounded in HA/DR settings. We utilize GPT LMs to create a conversational testbed to simulate online conversations where various approaches for counter speech and other content moderation methods can be evaluated. Additionally, we leverage BERT-based models to detect hate speech and other network and syntactic features to suggest the optimal strategy to employ. We also present empirical results on the experiments we have conducted which provide a proof of concept for the framework.
Estimating Soil Hydraulic and Solute Transport Parameters in Subsurface Drainage Systems Using an Inverse Modelling Approach

The aim of this study is to present an inverse modelling approach with a genetic algorithm for estimating soil hydraulic and solute transport parameters in two subsurface drainage systems in Iran. In this study, measured data were obtained from Amirkabir and Shoaybiyeh sugarcane fields equipped with subsurface drainage systems. The SWAP model was used for simulating the outputs of subsurface drainage systems. The accuracy of different objective functions which were based on the discrepancies between measured and simulated values of drainage discharge, groundwater depth and drainage water salinity was evaluated in the inverse modelling approach. Based on sensitivity analysis of the SWAP model in studied areas, n shape parameter, lateral hydraulic conductivity, depth to impermeable layer, saturated water content and α shape parameter were selected in the inverse modelling approach. By applying the objective function which is based on drainage discharge and salinity in the Amirkabir study area, the Nash–Sutcliffe Efficiency (NSE) values for predicting drainage discharge and salinity were 0.63 and 0.79, respectively. In the Shoaybiyeh study area, the objective function which includes drainage discharge, groundwater depth and drainage water salinity resulted in NSE values of 0.83, 0.95 and 0.89 for predicting drainage discharge, groundwater depth and drainage water salinity, respectively. Copyright © 2017 John Wiley & Sons, Ltd.
PROPOSING K-MODE BASED METHODOLOGY FOR ROAD ACCIDENTS WITH IMPROVED APRIORI

-Road traffic accidents area unit a serious public health concern, leading to Associate in Nursing calculable 1.2 million deaths and fifty million injuries worldwide annually. within the developing world, road traffic accidents area unit among the leading reason behind death and injury. The target of this study is to judge a group of variable that contribute to the degree of accident severity in traffic crashes. the problem of traffic safety has raised nice issues across the property development of contemporary traffic and transportation. The study on road traffic accident cause can establish the key factors quickly, expeditiously and supply tutorial ways to the traffic accident interference and road traffic accident reduction,that might greatly cut back personal casualty by road traffic accidents. Mis-treatment the ways of traffic knowledge analysis, can improve the road traffic safety management level effectively.
A multiband dual‐standard MIMO antenna system based on monopoles (4G) and connected slots (5G) for future smart phones

In this work, a 4G/5G multiple‐input multiple‐output (MIMO) antenna system is presented for smart phone applications. The 4G antenna operates from 1900 to 3212 MHz and 3517 to 3712 MHz with 1312 (69%) and 195 (5.5%) MHz measured bandwidths, respectively. The 5G antenna covers 25.7–30.50 GHz band with 4.8 GHz (18.7%) measured bandwidth. The 4G MIMO antenna system is based on 4‐element wideband monopoles, while the 5G one is based on 2‐element linear connected arrays (LCA). Four slots are etched to improve the isolation between the 4G MIMO antenna elements and then a 4 × 1 power divider/combiner is used to excite two of these slots to act as a LCA at mm‐waves. The concept of dual function ground slots is very useful to implement 4G and 5G MIMO antenna systems on the single substrate. The proposed design is fabricated on RO4350B substrate with a height of 0.76 mm and dielectric constant of 3.5. The overall size of the substrate is 115 × 65 × 0.76 mm3. The integrated wideband 4G/5G antenna system is a compact, low profile, and suitable for future smart phone applications. Isolation obtained was at least 15 dB and the envelope correlation coefficient (ECC) values did not exceed 0.16 between all elements.
of “Classifying Evolutionary Forces in Language Change Using Neural Networks”

This document supplements the paper “Classifying Evolutionary Forces in Language Change Using Neural Networks”. The document provides extensive details about the architecture of the neural networks, the generation of training data, the training procedure, and the parameters used to train the machine learning models. Additionally, we have supplemented all steps with Python code blocks to increase conceptual and technical understanding of the procedure, thus enabling other researchers to reproduce our resultsmore easily aswell as to apply the approach to their own work.
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Implementing a Bento-Style Search in LibGuides v2 Implementing a Bento-Style Search in LibGuides v2

The National University of Singapore Libraries converted their LibGuides v2 instance into a research portal and incorporated a “bento box” search interface—that is, an interface where results from multiple systems or categories are compartmentalized by system or category, like a Japanese “bento”-style lunch box—on a trial basis. Our experience shows that building and maintaining a bento box search in LibGuides requires fewer resources than a fully homegrown solution would require. This makes it an attractive platform for building a bento-style search both for libraries who have limited technical resources and libraries who might want to experiment with this kind of search before fully committing. This paper shares the design, implementation and some early usage patterns of our bento search.
MENOPAUSAL EVOLUTION APPEARED IN THE AVERAGE AGE OF THE FEMALE MAY CAUSE THE DISORDER OF AGING BY CREATING BONE WEAKNESS AND HEART ISSUES

The permanent malfunction of ovaries is called menopause. After the menopause the female is unable to imitate further. The most important factor in menopause is the aging of female. Females usually can reproduce up to 50 years. Many indications appeared in the average age of the female are related to menopausal evolution. It may cause the more severe symptoms. It causes disorder of aging by creating bone weakness and heart issues. The destruction of follicles and presence of different lighter and severe organic and psychosomatic shriek are under investigation. Reduction of performance scheme based on significant, consistent and intention conditions are the biggest hurdle in the development of investigation on reproductive aging and malfunction of ovaries. Naming system used recently is defined and its boundaries are also conferred. The female’s reproductive system cannot be described by modern vocabulary. Because there is a reduction of compassion and specificity in the modern vocabulary. For the recognition of suitable differentiation throughout the life time of reproduction, various staging standards are estimated. More investigations will be helpful in more understanding of menopausal evolution. And these are also essential to determine the strength, realism and suitability of planned performance standards.
Evaluation of axially-crushed cellular truss structures for crashworthiness

ABSTRACT Thin-walled tubes have long been used as energy absorbing structures, owing to their high specific energy absorption (SEA) capacity. But, they are associated with substantial high values of peak crush force (PCF). A high PCF results in a high deceleration pulse on the critical components and/or the passengers. This poses serious safety concerns. Even the use of triggers and grooves do not reduce the PCF considerably. To achieve improvement on the safety aspect, the research on the crashworthiness of the cellular truss structures was conducted in this paper. Finite element simulation model was developed by using ABAQUS/Explicit software and validated experimentally with structures fabricated through additive manufacturing. The truss structures were compared to the thin-walled tubes on the basis of their mass, SEA and PCF values. For an equal amount of energy absorption, while the truss structures had a higher mass, the PCFs were lowered significantly. The PCFs decreased at a rate 1.5 to 4.5 times faster than the corresponding decrease in SEAs. The example of the crash box showed that the drop in PCF due to the use of truss structure resulted in a reduction of around 5g deceleration at the cost of 1 kg of additional mass.
Real-time Data Flow Scheduling for Distributed Control

Remote process control and supervision applications developed over the TCP/IP networks require special communication models and techniques, which can guarantee the real-time and safety restrictions inherent to automation systems. This paper presents a reservation-based communication system architecture and a communication model based on data flow analysis that offer a good control over the transmission time of critical data. As part of the model, an analytical method is proposed that allows a-priory evaluation of the required minimum bandwidth necessary to assure the satisfaction of real-time transmission restrictions.
An Algebra with a Fixpoint Operator for Distributed Data Collections

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. An Algebra with a Fixpoint Operator for Distributed Data Collections Sarah Chlyah, Nils Gesbert, Pierre Genevès, Nabil Layaïda
Preparation and Characterization of Nano Cu and CuO Catalysts Supported on Washcoated Cordierite

ANO copper and copper oxide supported on Al2O3 washcoat deposdeposited on cordierite was prepared by mild reduction method using hydrazine hydrate as reducing agent in non-aqueous media. The effect of loading (5 and 10% Cu), calcination temperature 500, 600 and 700 C on the formed nano CuO was investigated. The preheated samples were characterized by X-Ray diffraction (XRD) and scanning electron microscope (SEM). The results indicated that, 5wt. % (Cu/Al2O3)/cordierite has the less crystallite size and the smallest crystallite size of CuO was observed in case of 5wt. % (CuO/Al2O3)/cordierite calcined at 500 C for 1hr.
S1759078720001798jra 1..8

Bessel, Bessel-Gauss, and Gaussian beams have widely been investigated in optics in the paraxial approximation, under the frame of a scalar wave theory. Such approximations can hardly be applied in the microwave/millimeter-wave range, where the vectorial nature of the electromagnetic fields cannot be neglected, and experimental realizations for some of these beams appeared only recently. In this work, we discuss the generation of Bessel, Bessel-Gauss, and Gaussian beams through a fully vectorial electromagnetic approach. The field derivation of all these beams is first illustrated and numerical evaluations are then reported to compare their different propagation and diffractive behaviors. Finally, an innovative approach for realizing such solutions with planar microwave devices exploiting leaky waves is demonstrated through accurate numerical simulations.
Statistical inference for density dependent Markovian forestry models

A stochastic forestry model with a density-dependence structure is studied. The population evolves in discrete-time through stage-structured processes, in a way that its temporal evolution is described by a stochastic Markov chain. For adequate scalings of the transition rates, it is shown to converge to the deterministic matrix model, known as the Usher model, as a parameter n, interpreted as the population size roughly speaking, becomes large. From the perspective of the analysis of forestry data and predict the forestry population evolution, this approximation result may serve as a key tool for exploring the asymptotic properties of standard inference methods such as maximum likelihood estimation. We state preliminary statistical results in this context. Eventually, relation of the model to the available data of a tropical rain forest in French Guiana is investigated and numerical applications are carried out.
Quantitative Prediction of Repaglinide-Rifampicin Complex Drug Interactions Using Dynamic and Static Mechanistic Models: Delineating Differential CYP3A4 Induction and OATP1B1 Inhibition Potential of Rifampicin

Repaglinide is mainly metabolized by cytochrome P450 enzymes CYP2C8 and CYP3A4, and it is also a substrate to a hepatic uptake transporter, organic anion transporting polypeptide (OATP)1B1. The purpose of this study is to predict the dosing time – dependent pharmacokinetic interactions of repaglinide with rifampicin, using mechanistic models. In vitro hepatic transport of repaglinide, characterized using sandwich-cultured human hepatocytes, and intrinsic metabolic parameters were used to build a dynamic whole-body physiologically-based pharmacokinetic (PBPK) model. The PBPK model adequately described repaglinide plasma concentration-time profiles and successfully predicted area under the plasma concentration-time curve ratios of repaglinide (within 6 25% error), dosed (staggered 0 – 24 hours) after rifampicin treatment when primarily considering induction of CYP3A4 and reversible inhibition of OATP1B1 by rifampicin. Further, a static mechanistic “ extended net-effect ” model incorporating transport and metabolic disposition parameters of repaglinide and interaction potency of rifampicin was devised. Predictions based on the static model are similar to those observed in the clinic (average error ∼ 19%) and to those based on the PBPK model. Both the models suggested that the combined effect of increased gut extraction and decreased hepatic uptake caused minimal repaglinide systemic exposure change when repaglinide is dosed simultaneously or 1 hour after the rifampicin dose. On the other hand, isolated induction effect as a result of temporal separation of the two drugs translated to an approximate 5-fold reduction in repaglinide systemic exposure. In conclusion, both dynamic and static mechanistic models are instrumental in delineating the quantitative contribution of transport and metabolism in the dosing time – dependent repaglinide-rifampicin interactions.
The Tobacco Mosaic Virus 126-Kilodalton Protein, a Constituent of the Virus Replication Complex, Alone or within the Complex Aligns with and Trafﬁcs along Microﬁlaments 1[w]

Virus-induced cytoplasmic inclusion bodies (referred to as virus replication complexes [VRCs]) consisting of virus and host components are observed in plant cells infected with tobacco mosaic virus, but the components that modulate their form and function are not fully understood. Here, we show that the tobacco mosaic virus 126-kD protein fused with green ﬂuorescent protein-formed cytoplasmic bodies (126-bodies) in the absence of other viral components. Using mutant 126-kD:green ﬂuorescent fusion proteins and viral constructs expressing the corresponding mutant 126-kD proteins, it was determined that the size of the 126-bodies and the corresponding VRCs changed in synchrony for each 126-kD protein mutation tested. Through colabeling experiments, we observed the coalignment and intracellular trafﬁcking of 126-bodies and, regardless of size, VRCs, along microﬁlaments (MFs). Disruption of MFs with MF-depolymerizing agents or through virus-induced gene silencing compromised the intracellular trafﬁcking of the 126-bodies and VRCs and virus cell-to-cell movement, but did not decrease virus accumulation to levels that would affect virus movement or prevent VRC formation. Our results indicate that (1) the 126-kD protein modulates VRC size and trafﬁcs along MFs in cells; (2) VRCs trafﬁc along MFs in cells, possibly through an interaction with the 126-kD protein, and the negative effect of MF antagonists on 126-body and VRC intracellular movement and virus cell-to-cell movement correlates with the disruption of this association; and (3) virus movement was not correlated with VRC size. Many plant viruses form cytoplasmic structures