Miracle-dz/UniFAR-FTUs huggingface dataset:
A Proposal for a Reference Architecture for Long-Term Archiving, Preservation, and Retrieval of Big Data

The volume of data stored in corporate data centers has been growing at a rate of 35% to 50% per year [1]. The exponential growth in data volume leads to some challenges from the technical, operational and financial perspectives. Along with this increase in the data volume the demand for preservation (or retention) of such data has also increased due to government regulations. The convergence of these two trends (growth of data volume and increased demand for preservation) implies that storage systems must support the preservation of data for very long periods of time. Several studies address the archiving, preservation and retrieval of structured data. To the best of our knowledge, there couldn't be found reference architectures specifically focused on the archiving, preservation and retrieval of both unstructured and structured data. Our research goal is to propose a reference architecture for the long term archiving, preservation and retrieval of Big Data.
Design optimization and evaluation of different wind generator systems

With rapid development of wind power technologies and significant growth of wind power capacity installed worldwide, various wind generator systems have been developed and built. The objective of this paper is to evaluate various wind generator systems by optimization designs and comparisons. In this paper, seven variable speed constant frequency (VSCF) wind generator systems are investigated, namely permanent magnet synchronous generators with the direct-driven (PMSG_DD), the single-stage gearbox (PMSG_1G) and three-stage gearbox (PMSG_3G) concepts, doubly fed induction generators with the three-stage gearbox (DFIG_3G) and with the single-stage gearbox (DFIG_1G), the electricity excited synchronous generator with the direct-driven (EESG_DD), and the VSCF squirrel cage induction generator with the three-stage gearbox (SCIG_3G). Firstly, the design models of wind turbines, three/single stage gearbox and power electronic converter are presented; design optimizations of the investigated wind generator systems are developed with an improved genetic algorithm. Next, the optimization designs are implemented of various wind generator systems at 0.75-MW, 1.5-MW, 3.0-MW, 5.0-MWand 10MW, respectively. The annual energy production (AEP) per cost are evaluated for a given wind climate. The comparative results show the wind generator system with the single-stage gearbox could be the most attractive choice, especially the DFIG_1G system.
The Double Democratic Deficit in Climate Policy-making by the EU Commission

Zusammenfassung Abels und Mushaben (2012) argumentieren, dass in der Europaischen Union ein doppeltes Demokratiedefizit bezogen auf Geschlecht existiert: Frauen seien in den EU-Institutionen unterreprasentiert und der EU-Politik fehle es insgesamt an einer Geschlechterperspektive. Dieser Beitrag tragt mit einem spezifischen Fokus auf Klimapolitik zu dieser Forschungsperspektive bei. Die EU ist eine wichtige Konstrukteurin des internationalen Klimaregimes und sie hat sich gleichzeitig verpflichtet, Gender Mainstreaming umzusetzen. Daruber hinaus sind in Europa geschlechtsspezifische Unterschiede bezogen auf das Verhalten zum und Ansichten uber den Klimawandel dokumentiert. Dieser Artikel untersucht, wie relevant das doppelte Demokratiedefizit in der EU Klimapolitik ist. Wir stellen die Anteile der Expertinnen und Experten bei den zustandigen Referaten fur Klimapolitik in der Europaischen Kommission dar und zeigen mit Dokumentenanalysen und Interviews mit politischen Entscheidungstrager*innen, dass geschlechtsspezifische Aspekte in den EU Klimadokumenten nicht enthalten sind. Mittels feministischem Institutionalismus kommen wir zu dem Ergebnis, dass die bestehenden geschlechtsspezifischen Machtverhaltnisse innerhalb der Kommission die erforschten Klimaeinheiten beeinflussen und diese mannlich konnotierte institutionelle Praktiken reproduzieren. ----- Abstract Abels and Mushaben (2012) argue that there is a double democratic deficit in the European Union regarding gender: women are underrepresented within the EU institutions and gender awareness is lacking in EU policymaking. This article contributes to this scholarship with a specific focus on the climate domain. The EU is an important constructor of the international climate regime and the Union is committed to gender mainstream all its policies and processes. Furthermore, there are documented gender differences in Europe regarding behaviour and views on climate change. This article investigates the relevance of the double democratic deficit for the EU´s climate policymaking. We map the representation of female and male experts at the European Commission´s climate units and search for gender recognition in the EU´s climate documents. There we discover silence regarding gender, confirmed through interviews with policy-makers. Using feminist institutionalism we conclude that existing gender power relations within the Commission affect the explored climate units, which reproduce masculine institutional practices. ----- Bibliographie: Magnusdottir, Gunnhildur Lily/Kronsell, Annica: The Double Democratic Deficit in Climate Policy-making by the EU Commission, Femina Politica, 2-2016, S. 64-76. https://doi.org/10.3224/feminapolitica.v25i2. 25353
On OFDM systems with spatially correlated antennas in low multipath diversity situations

Spatial correlation is introduced when antennas are not well separated, which typically leads to performance degradation in space diversity systems for flat fading wireless channels. However, in a frequency-selective environment with orthogonal frequency division multiplexing (OFDM), multipath diversity can help in overcoming this performance degradation. This is due to transformation of a highly spatially correlated channel impulse response to less spatially correlated channel frequency response inherently by an OFDM system in the presence of multipath diversity . In this letter, we numerically evaluate the minimum antenna separation required for a target spatial correlation in the frequency domain in situations with low multipath diversity. Performance results for two highly spatially correlated receive antennas with such spacing are provided for low multipath diversity channels and it is found to be within 1 dB (at BER=10/sup -3/) of spatially uncorrelated reception for QPSK modulation.
Large Eddy Simulation of a Turbulent Ethylene / Air Diffusion Flame with Presumed Moment Closure

As combustion generated nano-organic particles (NOC) may pose significant health and environmental problems, there is great scientific interest in studying their formation and evolution in turbulent combustion systems. Traditional approaches to turbulent combustion numerical modeling apply Reynolds averaging techniques (RANS) to predict the behavior of the mean values of the reacting flow properties. In this way, unsteady effects are not taken into account in the formation of nanoparticles. Large Eddy Simulation represents an attractive methodology for studying turbulent reacting flows and this approach is becoming possible as computational resources are increasing. In Large Eddy Simulation (LES) only the larger flow structures (typically those larger than computational mesh size) are computed, whereas the effect of smaller structures is modeled. Large structures in turbulent flows generally depend on the geometry of the system, while smaller ones feature more universal properties. So turbulence models may be more efficient when they have to describe only the smallest structures. Turbulent mixing controls most of the global flame properties. A key role in the modeling of turbulent combustion systems is played by the interaction of turbulent structures and chemical reactions. In LES, unsteady large scale mixing (between fuel and oxidizer in non-premixed burners) is simulated, instead of being averaged, and instantaneous fresh and burnt gases zones, with different turbulence characteristics, are clearly identified. One method for modelling turbulent combustion with LES is a simple flamelet conserved scalar approach, since it provides a reasonable compromise between implementation costs and accuracy. When chemical reactions are confined to very thin laminar flame-like regions, small compared to the scale of turbulence, and chemical time scales are short compared with the smallest convection scales, it is possible to define a flame structure that is convected by the flow [1]. In this case two scalars, the mixture fraction Z and a progress variable C are sufficient to describe the thermo-chemical state of the flow and to decouple the modeling of turbulence from that of reactive phenomena. The functional dependence of composition, temperature and density on Z and C can be obtained from a priori laminar premixed and diffusion flamelet calculations. The kinetic model is based on the chemistry of fuel oxidation and pyrolysis, the formation of aromatics and their growth into particle nuclei, particle growth by surface reactions, coagulation, and finally particle oxidation. A sectional model is used for the particle phase. The sectional method divides the particles range into classes of species each with a rate equation for surface growth, coagulation, and oxidation. In the present study, LES simulation of a turbulent jet diffusion flame of ethylene-air is performed with the aim of computing the formation of nano-organic particles; the predictions are compared with experimental
Parenting Style in Entrepreneurship Building on Children

This study aimed to determine the form of parenting styles, the factors that affect parenting styles, and the impact of parenting styles on children's entrepreneurship building. The design of this study is qualitative research which focuses on case study approach. The key informants in this study are business owners of shell bag craft, they are Anas and Nurul, Ismarofi and Ririn, Marlean and Emi. The data were collected by conducting semistructured interviews. Based on the interviews, the findings showed that: (1) parenting styles applied by Anas and Marlean lead to an authoritative form of parenting that gives freedom to their children under their supervision, meanwhile, Ismarofi applied a collaboration parenting style which leads to both authoritative and permissive parenting as shown in different impression to the activities their children do; (2) factors that affect parenting styles on children's entrepreneurship building is the limitation of children to learn the real business as the children are still in the school age who have to study at school; (3) the impact of parenting style brings benefits on the formation of children positive characteristics, such as independent, confident, outgoing, and visioner - having a future orientation. Keywords - parenting, parenting factors, the impact of parenting
SIPredict: Efficient post-layout waveform prediction via System Identification

In this paper, we propose a post-layout waveform prediction method by System Identification (SI) based on the fact that the waveforms of pre-layout and post-layout are always correlated. Mathematical models are built to describe the relationships between the pre-layout and post-layout simulation results via SI techniques. The model parameters are calibrated by using the simulation results of the first few data points of pre-layout and post-layout stages. By taking the corresponding pre-layout simulation results as inputs of the calibrated models, the rest post-layout waveforms can thus be predicted as the output of the models. Several examples demonstrate the efficiency of the prediction, which helps the designers have a quick view of the post-layout waveforms in the design process.
Lie algebra approach in the study of the stability of stochastic linear hybrid systems

The problem of the stability of a class of stochastic linear hybrid systems with a special structure of matrices and a multiplicative excitation is considered. Sufficient conditions of the exponential $ p$-th mean stability and the almost sure stability for a class of stochastic linear hybrid systems with the Markovian switching are derived. Also, sufficient conditions of the exponential mean-square stability for a class of stochastic linear hybrid systems satisfying the Lie algebra conditions with any switching are found. The obtained results are illustrated by examples and simulations.
Discrete-time based sliding-mode control of robot manipulators

Purpose – The purpose of this paper is to develop sliding mode control with linear and nonlinear manifolds in discrete‐time domain for robot manipulators.Design/methodology/approach – First, a discrete linear sliding mode controller is designed to an n‐link robot based on Gao's reaching law. In the second step, a discrete terminal sliding mode controller is developed to design a finite time and high precision controller. The stability analysis of both controllers is presented in the presence of model uncertainties and external disturbances. Finally, sampling time effects on the continuous‐time system outputs and sliding surfaces are discussed.Findings – Computer simulations on a three‐link SCARA robot show that the proposed controllers are robust against model uncertainties and external disturbance. It was also shown that the sampling time has important effects on the closed loop system stability and convergence.Practical implications – The proposed controllers are low cost and easily implemented in pract.
Different Presents in the Making

This article seeks to challenge aspects of anthropology and design that curtail their potential to be significant agents of social, material and ecological change for the better. In doing so we also seek to open up the possibility for the anthropological imagination to play a greater role in the shaping of the world; we are critical of anthropology where the discipline tends not to build upon observations of the world and keeps itself at an arm’s length from the practical formation of future environments and things. Addressing design, we critique practices that produce and proliferate material things largely ignorant of the extended dynamics of time, materials and ecology. Whilst we acknowledge that these versions of the disciplines are to some extent stereotypes and therefore do not reflect their full scope, we still make the case that there is need for a radical reformulation of how materials, time and ecology are considered in anthropologically-informed processes of design and making.
Reliable support for a persistent distributed shared memory

This paper describes a reliable distributed storage server used to back segments located in a distributed virtual shared memory (DVSM). It focuses on the design of a generic logging support and gives hints about its implementation. The prototype developed within the AIX system is evaluated and exhibits good results. Using these results, some evolutions are proposed to improve performance.
Downregulation of Homologous Recombination DNA Repair Genes by HDAC Inhibition in Prostate Cancer Is Mediated through the E2F1 Transcription Factor

Background Histone deacetylase inhibitors (HDACis) re-express silenced tumor suppressor genes and are currently undergoing clinical trials. Although HDACis have been known to induce gene expression, an equal number of genes are downregulated upon HDAC inhibition. The mechanism behind this downregulation remains unclear. Here we provide evidence that several DNA repair genes are downregulated by HDAC inhibition and provide a mechanism involving the E2F1 transcription factor in the process. Methodology/Principal Findings Applying Analysis of Functional Annotation (AFA) on microarray data of prostate cancer cells treated with HDACis, we found a number of genes of the DNA damage response and repair pathways are downregulated by HDACis. AFA revealed enrichment of homologous recombination (HR) DNA repair genes of the BRCA1 pathway, as well as genes regulated by the E2F1 transcription factor. Prostate cancer cells demonstrated a decreased DNA repair capacity and an increased sensitization to chemical- and radio-DNA damaging agents upon HDAC inhibition. Recruitment of key HR repair proteins to the site of DNA damage, as well as HR repair capacity was compromised upon HDACi treatment. Based on our AFA data, we hypothesized that the E2F transcription factors may play a role in the downregulation of key repair genes upon HDAC inhibition in prostate cancer cells. ChIP analysis and luciferase assays reveal that the downregulation of key repair genes is mediated through decreased recruitment of the E2F1 transcription factor and not through active repression by repressive E2Fs. Conclusions/Significance Our study indicates that several genes in the DNA repair pathway are affected upon HDAC inhibition. Downregulation of the repair genes is on account of a decrease in amount and promoter recruitment of the E2F1 transcription factor. Since HDAC inhibition affects several pathways that could potentially have an impact on DNA repair, compromised DNA repair upon HDAC inhibition could also be attributed to several other pathways besides the ones investigated in this study. However, our study does provide insights into the mechanism that governs downregulation of HR DNA repair genes upon HDAC inhibition, which can lead to rationale usage of HDACis in the clinics.
Artful research approaches in #amwritingwithbaby: Qualitative analysis of academic mothers on Facebook

This study contemplates one facet of academic motherhood through the use of artful research approaches in qualitative research to examine the (im)balance of being a mother writing academic works while raising and caring for a young child, as presented in an online hashtag Facebook campaign, #amwritingwithbaby. Speci cally, this study uses an analysis of online posts and arts-based representations of ndings through a comparison of narrative, poem, and word clouds. Through using popular media for representing the ndings, this study helps address the accessibility of artful inquiry into the growing body of works seeking equity for women and mothers in academia.
Remarks on motion control of nonholonomic system (falling cat) by using a quantum neural controller

This paper investigates the application of quantum neural networks to control nonholonomic systems. In this study, the falling cat is treated as an example of a control object. The cat is modelled as two similar cylindrical rigid bodies that represent the front and rear half of its body and the motion of the falling cat is formulated by considering the law of conservation of angular momentum. Because of nonholonomic constraints, the motion control of the falling cat can be treated as a symmetrically affine system without a drift term. A quantum neural controller in which the quantum neural network uses qubit neurons as the information processing unit is designed to solve the control problem that brings the nonholonomic system from the initial to desired position. The computational experiments indicate the feasibility and characteristics of the quantum neural controller in dealing with a nonholonomic system.
PRECODING FOR SPREAD-SPECTRUM SIGNALS IN FREQUENCY-SELECTIVE FADING CHANNELS

Spread-spectrum systems are used to transmit over frequency selective fading channels. The RAKE receiver is a well-established technique to exploit the multipath diversity. However, if the channel impulse response (CIR) is known a priori in the transmitter, the signal can be precoded to increase the SNR at the receiver while the transmit power remains constant. Because the channel can be assumed to be identical in the uplink and downlink in TDD systems the CIR is available in the transmitter. In this paper, different FIR filter precoding schemes for one antenna (Pre-RAKE, Preand Post-RAKE and Eigenprecoder) and multiple transmit antennas are compared, their decision variables are given in vector notation and the SNRs are presented analytically. The performance of the precoding schemes is evaluated numerically for codes with good autocorrelation behavior and for 3GPP TDD codes.
Genetic Variations of ABCC2 Gene Associated with Adverse Drug Reactions to Valproic Acid in Korean Epileptic Patients

The multidrug resistance protein 2 (MRP2, ABCC2) gene may determine individual susceptibility to adverse drug reactions (ADRs) in the central nervous system (CNS) by limiting brain access of antiepileptic drugs, especially valproic acid (VPA). Our objective was to investigate the effect of ABCC2 polymorphisms on ADRs caused by VPA in Korean epileptic patients. We examined the association of ABCC2 single-nucleotide polymorphisms and haplotype frequencies with VPA related to adverse reactions. In addition, the association of the polymorphisms with the risk of VPA related to adverse reactions was estimated by logistic regression analysis. A total of 41 (24.4%) patients had shown VPA-related adverse reactions in CNS, and the most frequent symptom was tremor (78.0%). The patients with CNS ADRs were more likely to have the G allele (79.3% vs. 62.7%, p = 0.0057) and the GG genotype (61.0% vs. 39.7%, p = 0.019) at the g. -1774delG locus. The frequency of the haplotype containing g. -1774Gdel was significantly lower in the patients with CNS ADRs than without CNS ADRs (15.8% vs. 32.3%, p = 0.0039). Lastly, in the multivariate logistic regression analysis, the presence of the GG genotype at the g. -1774delG locus was identified as a stronger risk factor for VPA related to ADRs (odds ratio, 8.53; 95% confidence interval, 1.04 to 70.17). We demonstrated that ABCC2 polymorphisms may influence VPA-related ADRs. The results above suggest the possible usefulness of ABCC2 gene polymorphisms as a marker for predicting response to VPA-related ADRs.
Using the Bitcoin Transaction Graph to Predict the Price of Bitcoin

Bitcoin is the world’s leading cryptocurrency, allowing users to make transactions securely and anonymously over the Internet. In recent years, The Bitcoin the ecosystem has gained the attention of consumers, businesses, investors and speculators alike. While there has been signiﬁcant research done to analyze the network topology of the Bitcoin network, limited research has been performed to analyze the network’s inﬂuence on overall Bitcoin price. In this paper, we investigate the predictive power of blockchain network-based features on the future price of Bitcoin. As a result of blockchain-network-based feature engineering and machine learning optimization, we obtain up-down Bitcoin price movement classiﬁcation accuracy of roughly 55%.