Miracle-dz/UniFAR-FTUs huggingface dataset:
Cooperative Predictive Maintenance of Repairable Systems With Dependent Failure Modes and Resource Constraint

Many works on condition-based maintenance of repairable systems apply to either a single failure mode, or statistically independent failure modes. Different from these works, this paper considers the problem of predictive maintenance of repairable systems with dependent failure modes, and resource constraints. Assume that (i) a repairable system is subject to two statistically dependent failure modes bidirectionally affecting each other, (ii) imperfect maintenance actions are cooperatively performed on two dependent failure modes by allocating insufficient resources spent for maintenance, and (iii) future maintenance scheduled at the current time depend on both the predicted number of future failures and the minimization of the expected maintenance cost rate defined in the long term. To resolve the above problem, a novel cooperative predictive maintenance model is proposed. Its basis is the incorporation of the hazard-rate function, and effective age. In this model, two failure modes are statistically dependent in such a way that the hazard rate of one failure mode depends on the accumulated number of failures of the other failure mode. The effect of imperfect maintenance is interpreted in terms of how the hazard rate function and the effective age are changed by maintenance actions. The age reduction factor for each failure mode due to maintenance has some deterministic relation to the degree of resources cooperatively allocated to perform maintenance. The decision variables in the maintenance policy, namely the number of maintenance actions to be performed, the interval between successive maintenance actions, and the cooperatively allocated degree of resources, can be recursively updated when new monitored information arrives. This approach relies on both the predicted number of future failures, and the minimization of the expected maintenance cost rate defined in the long term.
Novel approach to voltage control in microgrid for optimizing the active power consumption

With the exponential increase in the energy demand Research Engineers are finding new ways to cope up with this increase. Microgrids are a relatively more reliable and efficient employment when it comes to Distribution Power Systems. The operation of these mini-grids in islanded mode, in which they are disconnected from the main grid, is extremely beneficial in providing for the critical loads. This paper incorporates Master-Slave coordination method between the distributed generators (DG) in the microgrid where the regulation of the voltage at the buses is the key to controlling the Active power of the loads. The voltage references for the Master DG were altered using feedback of the current from the DG output. Slave DGs were operated in the controlled current mode following the voltage generated from Master DG. All the Inverter based DGs and their control are developed, and results are presented in the PSCAD/EMTDC environment.
Wavelet Decomposition for Time Series : Determining Input Model by Using mRMR Criterion

Determining the level of decomposition and coefficients used as input in the wavelet modeling for time series has become an interesting problem in recent years. In this paper, the detail and scaling coefficients that would be candidates of input determined based on the value of Mutual Information. Coefficients generated through decomposition with Maximal Overlap Discrete Wavelet Transform (MODWT) were sorted by Minimal Redundancy Maximal Relevance (mRMR) criteria, then they were performed using an input modeling that had the largest value of Mutual Information in order to obtain the predicted value and the residual of the initial (unrestricted) model. Input was then added one based on the ranking of mRMR. If additional input no longer produced a significant decrease of the residual, then process was stopped and the optimal model was obtained. This technique proposed was applied in both generated random and financial time series data. 2000 AMS classifications: 62M10, 65T60
A Distributed Data Stream Management Model Based on Two-tier Overlay Network

In current distributed data stream management models, data should be transmitted on time among many computers through overlay network, which contains only logical topology information. For lack of real topology information, it is hard to control data delay. To solve this important problem, the requirement to process data stream in distributed networks is analyzed in this paper. Chord and super cube structure are introduced to establish a distributed data stream management model, and a constructing strategy about underneath communication is given. This model has the expansibility and robustness of Chord, it also can transmit data quickly using real topology information in super-cube, so it is feasible to QoS control. At last we demonstrate properties of the model using simulation and experiments
APRENDIZAGEM ORGANIZACIONAL EM CALL CENTERS: UMA ANÁLISE SOBRE AS DICOTOMIAS ENTRE O DISCURSO E A PRÁTICA E SEUS EFEITOS

Este trabalho relatara como a tecnologia pode contribuir para a aprendizagem nas organizacoes na medida em que seja acompanhada de um modo de gestao de pessoas e de um desenho organizacional adequado. Analisaremos como as organizacoes atuais frequentemente desenvolvem um discurso voltado para a criacao de valor atraves da Gestao de Competencias e da implementacao de instrumentos de TI e, na pratica, nao adotam modos de gestao que efetivamente promovam este aprendizado ou inovacao. Apresentaremos dois estudos de caso realizados em duas Centrais de Atendimento e mostraremos que, nos dois casos, a coerencia entre discurso e pratica foi fundamental para a manutencao de uma boa imagem das empresas junto aos seus funcionarios, mesmo quando a organizacao nao dava oportunidades de aprendizado na pratica.
Harnack Inequalities: An Introduction

The aim of this article is to give an introduction to certain inequalities named after Carl Gustav Axel von Harnack. These inequalities were originally defined for harmonic functions in the plane and much later became an important tool in the general theory of harmonic functions and partial differential equations. We restrict ourselves mainly to the analytic perspective but comment on the geometric and probabilistic significance of Harnack inequalities. Our focus is on classical results rather than latest developments. We give many references to this topic but emphasize that neither the mathematical story of Harnack inequalities nor the list of references given here is complete.
Fast analysis of flush-mounted cylindrical microstrip structures

This paper presents the application of the discrete mode matching (DMM) method to analyze microstrip lines and antennas flush-mounted on cylindrical substrates. The DMM is well suited to the analysis of multilayered structures, since the fields must be calculated only at the interfaces between the dielectric layers, so that merely a one-dimensional discretization is needed to analyze cylindrical microstrip structures. The analysis is based on the Green's function in the spectral domain, which is calculated by using a full-wave equivalent circuit. In order to demonstrate the method, two structures are analyzed: a singly-layered conformal microstrip antenna, and a microstrip line printed on a cylindrical substrate composed of multiple dielectric layers.
Research of Non-rigid Medical Image Registration Based on Gradient Information

In many clinical applications, non-rigid transforms are often used to describe the spatial relationships between images. The conventional image registration approaches often consider intensity information, ignoring the spatial information between pixels. To solve the problem, this paper proposes a non-rigid medical image registration algorithm based on gradient information. First, gradient feature of each sample point is obtained for the reference image and floating image. Second, the pixel intensity and the gradient feature are applied into non-rigid medical image registration. Comparison results of the images obtained from lung and brain images showed that the proposed algorithm provides better accuracy than both the conventional rigid registration algorithm and the non-rigid registration algorithm based on single pixel gray values.
Microalgae of the Chlorophyceae Class: Potential Nutraceuticals Reducing Oxidative Stress Intensity and Cellular Damage

Nutraceutical is a term combining the words nutrition and pharmaceutical. It is a food or food product that provides health and medical benefits, including the prevention and treatment of disease. A nutraceutical has beneficial effects because it possesses many compounds with antioxidant and intracellular signalling-pathway modulator effects. In recent years, it has been demonstrated that microalgae of the Chlorophyceae class could be excellent nutraceuticals because they contain polyphenols, chlorophyll, -carotene, ascorbic acid, lycopene, -tocopherol, xanthophylls, and PUFAs. For this reason, some research groups, including ours, have studied the nutraceutical properties of the genera Dunalliela, Haematococcus, and Chlorella. However, our research group has put special emphasis on the genera Chlorella and Chlamydomonas. For these genera, we present new results that reveal antioxidant effects in different models of oxidative stress and cell damage
An Improved Lane Detection and Tracking Method for Lane Departure Warning Systems

Lane detection and tracking are very crucial treatments in lane departure warning systems as they help the vehicle-mounted system to keep its lane. In this context, the authors' work aims to develop vision-based lane detection and tracking method to detect and track lane limits in highways and main roads. The authors' contribution focuses on the detection step. By exploiting the fact that, in an image, the road can be formed by linear and curvilinear portions, the authors propose two types of appropriate treatments to detect the lane limits. The authors' method offers high precision rates independently of the painted lane marking's characteristics, of the time of acquisition and in different weather conditions. Besides the challenges it overcomes, the authors' method has the advantage of operating with a timing complexity that is reasonable for real-time applications. As shown experimentally, compared to three leading methods from the literature, the authors' method has a higher efficiency.
Genome-wide Identification and Quantitative Analysis of Cleaved tRNA Fragments Induced by Cellular Stress*

Background: Regulation of stress-induced tRNA cleavage by angiogenin is not well studied. Results: tRNA fragment accumulation was higher during oxidative than hypertonic stress. Conclusion: tRNA cleavage is regulated by the availability of angiogenin and tRNA substrate, levels of RNH1, and the rates of protein synthesis. Significance: Stress-specific tRNA cleavage mechanisms and patterns will provide insights into novel stress signaling pathways. Certain stress conditions can induce cleavage of tRNAs around the anticodon loop via the use of the ribonuclease angiogenin. The cellular factors that regulate tRNA cleavage are not well known. In this study we used normal and eIF2α phosphorylation-deficient mouse embryonic fibroblasts and applied a microarray-based methodology to identify and compare tRNA cleavage patterns in response to hypertonic stress, oxidative stress (arsenite), and treatment with recombinant angiogenin. In all three scenarios mouse embryonic fibroblasts deficient in eIF2α phosphorylation showed a higher accumulation of tRNA fragments including those derived from initiator-tRNAMet. We have shown that tRNA cleavage is regulated by the availability of angiogenin, its substrate (tRNA), the levels of the angiogenin inhibitor RNH1, and the rates of protein synthesis. These conclusions are supported by the following findings: (i) exogenous treatment with angiogenin or knockdown of RNH1 increased tRNA cleavage; (ii) tRNA fragment accumulation was higher during oxidative stress than hypertonic stress, in agreement with a dramatic decrease of RNH1 levels during oxidative stress; and (iii) a positive correlation was observed between angiogenin-mediated tRNA cleavage and global protein synthesis rates. Identification of the stress-specific tRNA cleavage mechanisms and patterns will provide insights into the role of tRNA fragments in signaling pathways and stress-related disorders.
Experimental investigation of an l band all cavity axial extraction relativistic magnetron

Experimental results of an L band all cavity axial extraction relativistic magnetron (RM) working at 1.57 GHz is presented. In this 6-cavity RM configuration, microwave from two adjacent cavities is coupled into an axially oriented coaxial sector waveguide through radial slots on the cavities. This configuration is more compact because only three sector waveguides are added outside the magnetron cavity without increasing the radial dimension significantly. Simulation results reveal that this tube could generate a microwave power of 700 MW at the frequency of 1.57 GHz, corresponding to a power conversion efficiency of 50% when employing an electron beam of 350 kV and 4.0 kA. This tube is tested on a compact Marx generator in our lab. In experiment, this tube could generate a microwave power of over 500 MW at 1.57 GHz when employing guiding magnetic field of 0.22 T and input beam voltage of 345 kV and current of 4.8 kA, with a corresponding efficiency of about 30%. Experimental results reveal that this tube is a preferred configuration for a compact relativistic magnetron with relatively high power conversion efficiency.
UHF RFID smart conveyor belt with confined detection range

Radio Frequency Identification (RFID) technology enables detection and recognition of objects associated to univocal identification codes. A typical RFID system comprises an RFID reader linked to one or several antennas that interrogate the tags within its detection range. A dedicated computer application manages the data logging and processing. Several frequency bands are assigned to RFID, from HF up to microwaves. At present, the UHF RFID tags are preferred for a wide range of applications because its unit cost is the lowest. The usable UHF band ranges from 860MHz to 960MHz, allocated in three different intervals for different world regions by the International Telecommunications Union (ITU).
Square Loop and Slot Frequency Selective Surfaces Study for Equivalent Circuit Model Optimization

This paper presents a parametric study of square loop and square slot frequency selective surfaces (FSSs) aimed at their equivalent circuit (EC) model optimization. Consideration was given to their physical attributes, i.e., the unit cell dimensions and spacing, substrate thickness and dielectric properties, for several frequencies and plane wave incident angles. Correlation analysis and evaluation of the influence of physical related input parameters on the FSS performance are presented. Subsequent optimization factor for the square loop classical EC model is analyzed, and a novel EC model formulation for the square slot FSS is proposed. The performance of the proposed EC model was assessed against results obtained from appropriate electromagnetic (EM) simulations, based on a root-mean-square error (RMSE) criteria. Results demonstrate the validity of the optimized EC model, in which good estimations of the frequency response of FSS structures were obtained. Significant reduction of the resonant frequency offsets, in the order of 650 (from 910 to 260) and 460 (770 to 310) MHz, was obtained for square loops and square slots, respectively. The models were further validated against measurements performed on two physical FSS prototypes inside an anechoic chamber at 2.4 GHz. Relatively good agreement was obtained between measurements of real FSS prototypes and results obtained with the EC model. Finally, this work is sought to provide the necessary refinement of elementary models for further studies with more complex and novel FSS structures.
Comparative study on search techniques over encrypted data

When private data or sensitive information is stored in the database, a typical way to protect the data is to encrypt the data before storing it. For efficiently retrieving the data, an effective search mechanism is needed that works over the encrypted data smoothly. When data is encrypted the performance of querying the database is degraded. In this paper we are going through the various search techniques which is used for searching over encrypted data and maintain a tradeoff between security and performance.
What Do Entrepreneurs Pay for Venture Capital Affiliation?

This study empirically evaluates the certification and value-added roles of reputable venture capitalists (VCs). Using a novel sample of entrepreneurial start-ups with "multiple" financing offers, I analyze financing offers made by competing VCs at the first professional round of start-up funding, holding characteristics of the start-up fixed. Offers made by VCs with a high reputation are three times more likely to be accepted, and high-reputation VCs acquire start-up equity at a 10-14% discount. The evidence suggests that VCs' "extra-financial" value may be more distinctive than their functionally equivalent financial capital. These extra-financial services can have financial consequences. Copyright 2004 by The American Finance Association.
Source Attractiveness and Credibility in Minority Sports Advertising

Sport has become a highly commercialised business, in recent times sports have utilised considerable corporate sponsorship and advertising opportunities (Slack, 1998), to improve their welfare and popularity. “Today, sport is a big business and big businesses are involved in sport” (Slack, 1998, p1). Major spectator sports produce many marketable opportunities (Slack, 1998), however, the analogy the rich get richer and the poor get poorer summarises the dilemma faced by minority sports relative to major sporting networks. Whilst major sports’ power has increased over the past two decades, minority sports are still struggling with minimal funding and capabilities, thus widening the capabilities gap between major and minority sports (Zuleeg & Whyte, 2007; Wolfe et al, 1998).
The Devil is in the Detail: The Governance Challenge of Climate Change

Public policy aspects of climate change have been relatively neglected in debate and in academic analysis at the more pragmatic end of policy development and implementation, yet are enormously significant. Indeed it could be argued that it is the enormity of the governance challenge of climate change that has contributed to the lack of effective policy action to reduce emissions in Australia and elsewhere. According to the Australian government independent adviser Ross Garnaut, climate change is a diabolical policy area, beyond rational policy making, for Australia in particular, which is structurally dependent upon emissions intensive energy. However this paper suggests that emission reduction efforts may be better modelled in Australia at the subnational than the national level and it considers Tasmania as a case in point. It begins by contrasting the so called diabolical problem of climate change with contemporary governance theory and practice and arguing that climate change is in fact well suited to the multi-faceted nature of the governance response. However empirical consideration of efforts by governments to reduce their own emissions, including Tasmania, and the impact of these efforts on broader policy development does suggest a key decision making role for the state. The climate challenge therefore illustrates the benefit of contemporary networked based governance solutions to emissions reduction, but within the context of more traditional, hierarchical policy parameters. The paper describes the climate challenge through the lens of governance theory, discusses the context for policy action, and reviews Tasmania's climate policy.
PERMANENT SOURCE BRACHYTHERAPY FOR PROSTATE CANCER Expert

* See Last Page for Key Revised 2016 Davis/Taira Page 1 Reference Study Type Patients/ Events Study Objective (Purpose of Study) Study Results Study Quality 1. The NCCN Clinical Practice Guidelines in OncologyTM Prostate Cancer V.1. 2015 © 2015 National Comprehensive Cancer Network, Inc. Available at: http://www.nccn. org/professionals/physici an_gls/pdf/prostate.pdf. Review/OtherTx N/A To provide guidelines in prostate cancer. No abstract available. 4
The current problem: koi herpesvirus (KHV).

Koi herpesvirus (KHV) is a pathogen agent that predominantly affects common and koi carp (Cyprinus carpio and Cyprinus carpio koi, respectively) causing disease and mass mortality in farmed and wild populations of these breeds. Following the first reports of KHV in Israel and Germany in 1998, the geographical range of this disease has become extensive. The disease has been spread to many countries worldwide, predominantly through the trade in koi carp and it is now known to occur at least 28 countries. Most recently KHV outbreaks have been reported to the World Organization for Animal Health from Romania, Slovenia, Spain and Sweden. Morbidity of affected populations can be 100% and mortality 70–80%, but the latter can be as high as 90 or 100% . Disease patterns are influenced by virulence of the virus, age and condition of the fish, population density and stress factors. The disease is temperature dependent, too, occurring between 16 and 25°C. Symptoms include mottled gills, bleeding gills, blisters or pale patches on the skin, sunken eyes, constant, lethargic and uncoordinated swimming.
String Theory on AdS Backgrounds

Various exact two-dimensional conformal field theories with AdS 2d +1 target space are constructed. These models can be solved using bosonization techniques and are examples of a more general novel type of coset construction. Some of them can be used to build perturbative superstring theories with AdS backgrounds, including AdS 5 .
Homogenization of Freshwater Faunas

▪ Abstract Biotic homogenization is the increased similarity of biotas over time caused by the replacement of native species with nonindigenous species, usually as a result of introductions by humans. Homogenization is the outcome of three interacting processes: introductions of nonnative species, extirpation of native species, and habitat alterations that facilitate these two processes. A central aspect of the homogenization process is the ability of species to overcome natural biogeographic barriers either through intentional transport by humans or through colonization routes created by human activities. Habitat homogenization through reservoir construction contributes to biotic homogenization as local riverine faunas are replaced with cosmopolitan lentic species. The homogenization process has generally increased biodiversity in most freshwater faunas, as the establishment of new species has outpaced the extinction of native species. There are important exceptions, however, where the establishment of n.
“ A Measurement Approach to Binary Classifications and Thresholds ”

A threshold partitions evidence to a binary classification. This paper studies the design of an optimal threshold and explains one benefit of a binary classification (over the disclosure of evidence). In a model with managers’ opportunistic influence on evidence, a threshold affects not only the ex post use of information by stakeholders but also the ex ante earnings management by managers. The ex ante optimal threshold that balances these two effects is not ex post effi cient, creating a time inconsistency problem. By suppressing ex post information, a binary classification serves as a commitment device to implement the ex ante optimal threshold and is overall more useful for stakeholders’decisions than the disclosure of evidence. JEL classification: M41, M49, G28, G38