Miracle-dz/UniFAR-FTUs huggingface dataset:
On state space modeling and order reduction of Chua's nonlinear model

This work presents the model order reduction of a nonlinear circuit consisting of resistors, capacitors and nonlinear cubic Chua diodes by the Trajectory Piecewise Linearization (TPWL) method. The TPWL method approximates a model of nonlinear differential equations by a weighted sum of linear systems with linear equations. For reducing the order of linear system of equations thus obtained, we have applied the reduction technique based on projection of the original state space to a state space of lower dimensional by Krylov projection technique via Arnoldi algorithm. The computational results obtained for the nonlinear circuit show a considerable reduction in model size.
Las revisiones sistemáticas en Biblioteconomía y Documentación: análisis y evaluación del proceso de búsqueda

Objective: An essential component of a systematic review is the development and execution of a literature search to identify all available and relevant published studies. The main objective of this study is to analyse and evaluate whether the systematic reviews in Library and Information Science (LIS) provide complete information on all the elements that make up the search process. Methods: A search was launched in WOS, Scopus, LISTA, Library Science Database, Medline databases and a wiki published from 2000 to February 2017, in order to find and identify systematic reviews. The search was designed to find those records whose titles included the words “systematic review” and/or “meta-analysis”. A list was created with the twelve items recommended from of the main publication guides, to assess the information degree on each of them. Results and conclusions: Most of the reviews in LIS are created by information professionals. From the 94 systematic reviews selected for analysis, it was found that only a 4.3% provided the complete reporting on the search method. The most frequently included item is the name of the database (95.6%) and the least one is the name of the host (35.8%). It is necessary to improve and complete the information about the search processes in the complete reports from LIS systematic reviews for reproducibility, updating and quality assessment improvement.
Complex-Chebyshev Functional Link Neural Network Behavioral Model for Broadband Wireless Power Amplifiers

The Neural Network (NN) based models are commonly used in power amplifier modeling and predistorter design, and seen as a potential alternative to model and compensate broadband power amplifiers (PAs) having medium- to-strong memory effects along with high-order nonlinearity. In this paper, we propose a novel computationally efficient behavior model based on complex-Chebyshev functional link neural network (CCFLNN) suitable for dynamic modeling of wireless PAs. The CCFLNN exhibits a simpler compact structure than the previously reported NNs and can require less computational burden during the learning process since it uses the complex-valued topology and does not need the hidden layers, which exist in most of the conventional neural-network-based models. The proposed approach utilizes the complex-valued inverse QR-decomposition-based recursive least square algorithm to update the weighting coefficients of the CCFLNN model. The proposed model is comparatively compared with a real-valued focused time-delay NN model and a conventional memory polynomial model with respect to computation complexities and modeling performance. The accurate modeling capacity of the CCFLNN model is demonstrated through a full characteristic (working in the strongly nonlinear region) 170-W class AB amplifier driven by a multicarrier WCDMA signal. Furthermore, the proposed model has been applied for linearizing a real PA in multicarrier application. Results obtained from the measurement clearly show that the proposed digital predistorter can eliminate various intensity in-band and out-of band distortions.
Postindustrial enhancement of aragonite undersaturation in the upper tropical and
subtropical Atlantic Ocean: The role of fossil fuel CO2

The dissolution of aragonite particles in the ocean primarily depends on the degree of undersaturation of seawater with respect to that mineral. Most of the upper Atlantic Ocean, particularly north of 308S and at depths of less than 2000 m, is supersaturated with respect to aragonite, whereas much of the deep Atlantic is undersaturated. Here we report, for the first time, shallow layers of aragonite‐undersaturated water between 20°S and 15°N in the eastern tropical Atlantic. These layers are centered at 800 m and are surrounded by aragonite‐supersaturated water above and below. This feature most likely results from a combination of chemical and biological processes including the uptake of anthropogenic CO2 and the oxidation of organic matter falling from the highly productive overlying surface water. Reaction with protons resulting from these processes decreases the carbonate ion concentration and consequently the saturation state of the waters with respect to aragonite. The oceanic uptake of anthropogenic CO2 during the industrial era has caused a significant increase in the size of the undersaturated layers. Future expansion will likely occur laterally to the west and south, where the degree of supersaturation is low compared to waters to the north. This expansion of the undersaturated layers is a prime example of how human activity during the industrial era has altered the upper ocean chemistry by injecting fossil fuel CO2 into the ocean.
THE FACTORS OF INFLUENCING ACCEPTANCE OF SOFTWARE AS A SERVICE MODEL, TOWARD SALES FORCE AUTOMATION SYSTEM, ON PHARMACEUTICAL COMPANY IN INDONESIA

One of the business models of Cloud Computing that provides internet-based applications, the so-called Software as a Service (SaaS), allows users to get an easy way because the infrastructure has already been provided by the application vendor. The many uses of SaaS model among others is on Sales Force Automation (SFA) application, which is widely used by companies to monitor the performance of the mobile team serving in the field in order to increase sales/service, and another one which is the focus of this thesis is the one used in pharmaceutical companies. However, the acceptance of SFA system with SaaS model on pharmaceutical companies in Indonesia is not too encouraging. Therefore, this study investigated factors that influence the SFA system with SaaS model on pharmaceutical companies in Indonesia, using the Technology Acceptance Model (TAM). The variables studied were Perception of Usefulness, Perception of Ease to Use, Perception of Risk, Perception of Price, Visibility, and Social Influence against the Attitude towards Using SFA System with SaaS Model. The study took samples from the decision makers of pharmaceutical companies in the Greater Jakarta and Bandung, with the number of valid questionnaires of 50 respondents. The results obtained with multiple regression is that the significant factors influencing the acceptance of SFA system with SaaS model is the Perception of Price factor and the Social Influence factor, with each test value for p-value Significant coefficients of 0001 and 0 (p-value <0.05). The test results also suggested that other factors studied do not significantly influence the attitude towards the use of the SFA system with SaaS model.
Face recognition using Kernel Fisher's Discriminant Analysis and nearest neighbor

Face recognition is a technology that is achieving more and more prominence today. This technology is now found in various applications such as automatic photo tagging and identification of criminal suspects. While the task of recognizing faces is easy for humans, the task of teaching a computer to do so is very challenging. This paper presents a face recognition system based on the Kernel Fishers Discriminant Analysis (KFDA) and Nearest Neighbor (NN) algorithms. We use the KFDA algorithm as a feature extractor and the NN algorithm as a classifier. Our current implementation of the system has achieved a recognition success rate of more than 83%.
CD161+ Tconv and CD161+ Treg Share a Transcriptional and Functional Phenotype despite Limited Overlap in TCRβ Repertoire

Human regulatory T cells (Treg) are important in immune regulation, but can also show plasticity in specific settings. CD161 is a lectin-like receptor and its expression identifies an effector-like Treg population. Here, we determined how CD161+ Treg relate to CD161+ conventional T cells (Tconv). Transcriptional profiling identified a shared transcriptional signature between CD161+ Tconv and CD161+ Treg, which is associated with T helper (Th)1 and Th17 cells, and tissue homing, including high expression of gut-homing receptors. Upon retinoic acid (RA) exposure, CD161+ T cells were more enriched for CCR9+ and integrin α4+β7+ cells than CD161− T cells. In addition, CD161+ Tconv and CD161+ Treg were enriched at the inflamed site in autoimmune arthritis, and both CD161+ and CD161− Treg from the inflamed site were suppressive in vitro. CD161+ T cells from the site of autoimmune arthritis showed a diminished gut-homing phenotype and blunted response to RA suggesting prior imprinting by RA in the gut or at peripheral sites rather than during synovial inflammation. TCRβ repertoires of CD161+ and CD161− Tconv and Treg from blood showed limited overlap whereas there was clear overlap between CD161+ and CD161− Tconv, and CD161+ and CD161− Treg from the inflamed site suggesting that the inflamed environment may alter CD161 levels, potentially contributing to disease pathogenesis.
Defining the Role of the Entrepreneur in Economic Thought: Limitations of Mainstream Economics

The main stimulus for this paper is that despite the early recognition of the need to incorporate a functional role for entrepreneurship in economics, this functional role has been absent in the modern theory of microeconomics, which largely adheres to neo-classical general equilibrium economics. This survey article, which focuses on the entrepreneur in economics shows that the strict assumptions underpinning mainstream economics have been limited with regards to innovation, creativity and foresight, which are essential ingredients of entrepreneurial functions. The outcomes of such misplaced and narrow views of mainstream economics puts at risk effective policy and relevant research. Tentative suggestions for research and policy are put forward in the conclusion.
A Fast Algorithm for Multi-pattern Searching

SUMMARY A new algorithm to search for multiple patterns at the same time is presented. The algorithm is faster than previous algorithms and can support a very large number — tens of thousands — of patterns. Several applications of the multi-pattern matching problem are discussed. We argue that, in addition to previous applications that required such search, multi-pattern matching can be used in lieu of indexed or sorted data in some applications involving small to medium size datasets. Its advantage, of course, is that no additional search structure is needed.
ISOLATION OF A NON‐PHAGE‐LIKE LYTIC VIRUS INFECTING AUREOCOCCUS ANOPHAGEFFERENS 1

We have been working to characterize viruses that infect the HAB‐forming pelagophyte Aureococcus anophagefferens Hargraves et Sieburth. Field samples were collected during brown‐tide events in 2002 and tested for the presence of lytic agents. Here, we describe a recently isolated, lytic virus‐like particle (VLP) that is morphologically similar to particles observed in thin sections of infected A. anophagefferens cells from natural samples. TEM and SEM have revealed VLPs consistent with the morphological characteristics of previously described Phycodnaviridae. Large icosahedral particles (∼140 nm) of similar shape and morphology dominate cell lysates and are accompanied by smaller phage‐like particles and heterotrophic prokaryotes that appear to be incurable from our cultures. To determine which of these particles interacts with the Aureococcus cells, we preserved cultures during the early stage of infection so that SEM could be used to visualize those particles that attach to the surface of naïve cultures. SEM revealed that 63% of the large icosahedral‐shaped particles attached to A. anophagefferens cells after only 30 min of exposure, while no significant frequency of attachment to the alga was observed for the phage‐like particles. The results of these observations are in contrast to previous studies, where phage‐like particles were reported to infect cells. When considered in conjunction with field observations, the results suggest that this newly isolated virus represents the dominant virus‐morphotype associated with bloom collapse and termination.
An adaptive bayesian wavelet thresholding approach to multifractal signal denoising

Multifractal functions are widely used to model irregular signals, while thresholding of the empirical wavelet coefficients is an effective tool for signal denoising. This paper outlines a Bayesian thresholding approach for multifractal functions observed in a white noise model. To do that, lacunary wavelet series are used to approximate the functions. These random functions are statistically characterized by two parameters. The first parameter governs the intensity of the wavelet coefficients while the second one governs its lacunarity. The estimation is obtained by placing priors on the wavelet coefficients that consists of a mixture of two normal distributions with different standard deviations. These variances are chosen adaptively according to the resolution level of the coefficients and depend on the multifractal function parameters. Estimators of these parameters are constructed and a closed form expressions for the posterior means of the unknown wavelets coefficients are obtained. An example is used to illustrate the method, and a comparison is made with other thresholding methods.
Survey study on the methods of bird vocalization classification

The technologies holds the ability to change the world. Current digital era is a product of the evolutionary technologies. It created the necessity to increase the Human Computer Interaction (HCI) and it became one of the most emerging research areas of the decade. HCI is an interface between the users and the system to improve the interaction. HCI concept came into existence in early 1980's. One of the emerging new research area in HCI is Context Aware System (CAS). The technological advancements in HCI created a new outlook in the research of CAS. CAS is a system which understand the user, their surroundings, and location. CAS make this possible by processing the environmental and bio-acoustic. Sound is one of the important media for both humans and animals to communicate and understand information. Bird sound, vehicle sound, wind sound etc. are some of the environmental and bio acoustics. Processing these sounds or signals will help us to create a better performing CAS. This paper profiles a survey study on bird sound classification and identification. Automatic identification of bird sound is one among the difficult task in signal processing. Also, the paper will profile the previous research works on various phases in bird vocalization processing; such as preprocessing, feature selection and classification.
Template Induction over Unstructured Email Corpora

Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. machine generated HTML emails. However much less work has been done in performing the same task over unstructured email data. We propose a technique for inducing high quality templates from plain text emails at scale based on the suffix array data structure. We evaluate this method against an industry-standard approach for finding similar content based on shingling, running both algorithms over two corpora: a synthetically created email corpus for a high level of experimental control, as well as user-generated emails from the well-known Enron email corpus. Our experimental results show that the proposed method is more robust to variations in cluster quality than the baseline and templates contain more text from the emails, which would benefit extraction tasks by identifying transient parts of the emails. Our study indicates templates induced using suffix arrays contain approximately half as much noise (measured as entropy) as templates induced using shingling. Furthermore, the suffix array approach is substantially more scalable, proving to be an order of magnitude faster than shingling even for modestly-sized training clusters. Public corpus analysis shows that email clusters contain on average 4 segments of common phrases, where each of the segments contains on average 9 words, thus showing that templatization could help users reduce the email writing effort by an average of 35 words per email in an assistance or auto-reply related task.
Combining complementary edge, point and color cues in model-based tracking for highly dynamic scenes

—This paper focuses on the issue of estimating the complete 3D pose of the camera with respect to a complex object, in a potentially highly dynamic scene, through model-based tracking. We propose to robustly combine complementary geometrical edge and point features with color based features in the minimization process. A Kalman ﬁltering and pose prediction process is also suggested to handle potential large inter-frame motions. In order to deal with complex 3D models, our method takes advantage of hardware acceleration. Promising results, outperforming classical state-of-art approaches, have been obtained on various real and synthetic image sequences, with a focus on space robotics applications.
Relationships among authentic leadership, manager incivility and trust in the manager

PurposeThis study aims to examine the relationships among authentic leadership of managers and new graduate nurses’ (NGNs) experience of manager incivility and their degree of trust in their managers.Design/methodology/approachA secondary analysis of data using a non-experimental, correlational design was undertaken. From 2012 to 2013, 3,743 surveys were mailed to NGNs eligible for the study, and 1,020 returned completed questionnaires for a response rate of 27.3 per cent. The hypotheses were tested using hierarchical multiple linear regression.FindingsAuthentic leadership had a negative relationship with manager incivility, which in turn was negatively related to trust in the manager, and overall the model accounted for 59.9 per cent of the variance in trust. Authentic leadership was positively associated with trust in the manager.Originality/valueFindings supported that authentic leadership may be an effective approach to enhance manager–nurse interactions because authentic managers are less likely to display uncivil behavior, which diminishes trust. Findings may be useful to inform the development of positive and respectful work environments and the everyday practice of nurse managers.
Verification of Java programs in Coq

This paper is a research on functional interpretation of object-oriented programs in the intensional type theory with dependent record types and coercive subtyping. We are here simulating a type-theoretic model of Java programs in Coq. Representing a class and its interface-type, which declares a set of methods and their signatures for code reuse, as dependent record types, the type-theoretic encoding enjoys desirable subtyping relationships that correctly capture the important object-oriented features such as inheritance, subtype polymorphism and dynamic dispatch. Furthermore, since the model is given in the intensional type theory, machine-supported verification of Java programs can be done by proving specifications that is satisfied by Java programs in Coq with regard to the state of objects.
The Rate of Supernovae. II. the Selection Effects and the Frequencies Per Unit Blue Luminosity

We present new estimates of the observed rates of SNe determined with the {\em control time} method applied to the files of observations of two long term, photographic SN searches carried out at the Asiago and Sternberg Observatories. Our calculations are applied to a galaxy sample extracted from RC3, in which 65 SNe have been discovered. This relatively large number of SNe has been redistributed in the different morphological classes of host galaxies giving the respective SN rates. The magnitude of two biases, the overexposure of the central part of galaxies and the inclination of the spiral parent galaxies, have been estimated. We show that due to overexposure a increasing fraction of SNe is lost in galaxies of increasing distances. Also, a reduced number of SNe is discovered in inclined galaxies ($i>30\degr$): SNII and Ib are more affected than Ia, as well as SNe in Sbc-Sd galaxies with respect to other spirals. We strengthen previous findings that the SN rates is proportional to the galaxy blue luminosity for all SN and Hubble types. Other sources of errors, besides those due to the statistics of the events, have been investigated. In particular those related to the adopted SN parameters (Cappellaro et al. (\cite{paper1})) and correction factor for overexposure and inclination. Moreover, we show that the frequencies of SNe per unit luminosity vary if different sources for the parameters of the sample galaxies are adopted, thus hampering the comparison of SN rates based on different galaxy samples. The overall rates per unit blue luminosity are similar to the previous
Towards Service Composition Based on Mashup

Mashup is a hallmark of Web 2.0 and attracts both industry and academia. It refers to an ad hoc composition technology of Web applications that allows users to draw upon content retrieved from external data sources to create entirely new services. Compared to traditional "developer-centric" composition technologies, e.g., BPEI and WSCI, mashup provides a flexible and easy-of-use way for service composition on Web. It makes the consumers free to compose services as they wish as well as simplifies the composition task. This paper makes two contributions. Firstly, we propose the mashup architecture, extend current SOA model with mashup and analyze how it facilitates service composition. Secondly, we propose a mashup component model to help developers leverage to create their own composite services. A case study is given to illustrate how to do service composition by mashup. This paper also discusses about some interesting topics about mashup.
Rape Without Bodies? Reimagining the Phenomenon We Call "Rape"

Abstract:"How do you define rape? " When one does research on rape, this question is one of the most basic and common. Ostensibly, the question is about methodology. But if we scratch beneath the surface, it is fundamentally an ontological question: what is rape? This article explores where the threshold which separates sex that is okay from sex that is rape comes from. Does it come from a deeply embodied sense of being violated, a normative limit that is socially and/or legally constructed—or something else? Ultimately, the article suggests a reimagining of rape as a sexual trespass on the boundaries of being.