Miracle-dz/UniFAR-FTUs huggingface dataset:
AN APPROACH ON LAYERED FRAMEWORK FOR INTRUSION DETECTION SYSTEM

In this paper, Intrusion detection faces a number of challenges; an intrusion detection system must reliably detect malicious activities in a network and must perform efficiently to cope with the large amount of network traffic. In this proposed paper, we address these two issues of Accuracy and Efficiency using Conditional Random Fields and Layered Approach. We demonstrate that high attack detection accuracy can be achieved by using Conditional Random Fields and high efficiency by implementing the Layered Approach. Finally, we show that our system is robust and is able to handle noisy data without compromising performance.
Influence of the core hole on Kß emission following photoionization or orbital electron capture: a comparison using MnO and 55Fe2O3

The Mn K beta fluorescence emission in MnO after photoionization and in (Fe2O3)-Fe-55 after radioactive electron capture decay from the K shell have been measured using a crystal array spectrometer with an instrumental energy bandwidth of 0.7 eV (full width at half maximum). Both compounds have a 3d(5) valence electron configuration in the ionic approximation. It is found that the spectral features after K capture in (Fe2O3)-Fe-55 are shifted in emission energy and are sharper, compared to the spectra following photoionization in MnO, i.e., the spectra exhibit a dependence on the mode of excitation. Crystal-field multiplet calculations including ligand-to-metal charge transfer have been carried out for the 1 s intermediate states as well as for the 3p to 1 s (K beta) radiative transition. The populated I s intermediate states after photoionization are found to be spread over several eV. In comparison, only the lowest-lying Is intermediate states split by the weak (1s, 3d) exchange interaction are populated after K capture. It is proposed that the differences in population of the Is intermediate states together with a term-dependent final-state lifetime broadening can account for the changes in the spectral shapes due to the different modes of excitation.
Variation in predicting pantograph–catenary interaction contact forces, numerical simulations and field measurements

ABSTRACT The contact force between the pantograph and the contact wire ensures energy transfer between the two. Too small of a force leads to arching and unstable energy transfer, while too large of a force leads to unnecessary wear on both parts. Thus, obtaining the correct contact force is important for both field measurements and estimates using numerical analysis. The field contact force time series is derived from measurements performed by a self-propelled diagnostic vehicle containing overhead line recording equipment. The measurements are not sampled at the actual contact surface of the interaction but by force transducers beneath the collector strips. Methods exist for obtaining more realistic measurements by adding inertia and aerodynamic effects to the measurements. The variation in predicting the pantograph–catenary interaction contact force is studied in this paper by evaluating the effect of the force sampling location and the effects of signal processing such as filtering. A numerical model validated by field measurements is used to study these effects. First, this paper shows that the numerical model can reproduce a train passage with high accuracy. Second, this study introduces three different options for contact force predictions from numerical simulations. Third, this paper demonstrates that the standard deviation and the maximum and minimum values of the contact force are sensitive to a low-pass filter. For a specific case, an 80 Hz cut-off frequency is compared to a 20 Hz cut-off frequency, as required by EN 50317:2012; the results show an 11% increase in standard deviation, a 36% increase in the maximum value and a 19% decrease in the minimum value.
Does personality of owners of micro enterprises matter for the relationship between startup capital and entrepreneurial success

Following the devastating effects of the recent global economic and financial crisis, both developing and developed countries are desperate to boost economic development and reduce unemployment rates. Consequently, entrepreneurship is being promoted. The resulting enterprises contribute to economic development and create employment opportunities. However, the contribution to economic development can only be realized if the enterprises themselves are growing. Whereas the contribution of both startup capital and personality to entrepreneurial success is well researched, the interaction between the two leading to entrepreneurial success has not been investigated. Using a sample of 384 owners of micro-enterprises from a cross-section of industry sectors in Uganda, The study examine the moderating effect of Big Five personality factors on the relationship between startup capital and entrepreneurial success. The study observes that startup capital, agreeableness and extraversion positively predict entrepreneurial success. Neuroticism, on the other hand, negatively predicts entrepreneurial success. Extraversion is the only factor in the Big Five model that moderates the relationship between startup capital and entrepreneurial success, highlighting the importance of interpersonal skills in microenterprises. The study also discusses implications for research, entrepreneurial education and support in relation to startup capital, specific personality factors. Key words: Big Five personality factors, business, entrepreneurial success, micro entrepreneurs, startup capital.
Design of a Robotic Software Manager for using Heterogeneous Components of Different Frameworks

Robotic software developers may need to use different component-based software frameworks, such as ROS, OPRoS and OpenRTM, for developing intelligent robots, but then face challenges with interoperability, code maintainability and reusability over multiple frameworks. In this paper, we present a design and implementation of a robotic software manager, which helps integrate different programming frameworks easily, and minimizes the impact of framework differences and new versions. In addition, this robotic software manager supports connections to external systems, such as a smart home system and a sensor manager system. The purpose of designing of the robot manager is to help engineers and developers to use existing software solutions easily even when operating environments are different. There is no intention to replace existing component-based software frameworks. We designed the robot manager to fulfil four requirements: interoperability, compatibility, heterogeneity, and Application Program Interface (API) abstraction. The manager enables the integration of different applications with components from different frameworks. It also supports communication between heterogeneous robots. Three case studies were evaluated. Firstly, we developed two healthcare service robots with different programming languages. Secondly, we developed two different robots, which cooperate with each other by integrating components from different frameworks. Thirdly, we developed a robot application using different external systems. From these experiments, we illustrate how the proposed robotic software manager satisfies the four design concepts, which enable researchers and developers to save effort when building intelligent robots.
The ps13 pitch spelling algorithm

Abstract In the ps13 pitch spelling algorithm, the pitch name of a note is assumed to depend on the local key and voice-leading. In the first stage of ps13, the pitch name implied for a note by a tonic is assumed to be the one that lies closest to that tonic on the line of fifths. The strength with which a pitch name is implied for a note is assumed to be proportional to the sum of the frequencies of occurrence, within a context around the note, of the tonics that imply that pitch name. In the second stage of ps13, certain neighbour-note and passing-note errors in the output of the first stage are corrected. An implementation of ps13, called PS13, spelt correctly 99.31% of the notes in a 195972 note test corpus, . A post-processing phase was added to PS13 in which the pitch names computed by PS13 are transposed by a diminished second if this brings them closer on the line of fifths to the pitch names of the notes in their vicinity. This version of the algorithm spelt 99.43% of the notes in correctly. When the second stage was removed altogether from PS13, 99.44% of the notes in were spelt correctly. The ps13-based algorithms achieved higher note accuracies than the algorithms of Temperley, Longuet-Higgins, Cambouropoulos and Chew and Chen on both and a “noisy” version of containing temporal deviations similar to those that occur in MIDI files derived from human performances.
Wavelets and LPG-PCA for Image Denoising

In this chapter, a new image denoising approach is proposed. It combines two image denoising techniques. The first one is based on a wavelet transform (WT), and the second one is a two-stage image denoising by PCA (principal component analysis) with LPG (local pixel grouping). In this proposed approach, we first apply the first technique to the noisy image in order to obtain the first estimation version of the clean image. Then, we estimate the noise-level from the noisy image. This estimate is obtained by applying the third technique of noise estimation from noisy images. The third step of the proposed approach consists in using the first estimation of the clean image, the noisy image, and the estimate of the noise-level as inputs of the second image denoising system (LPG-PCA). A comparative study of the proposed technique and the two others denoising technique (one is based on WT and and the second is based on LPG-PCA), is performed. This comparative study used a number of noisy images, and the obtained results from PSNR (peak signal-to-noise ratio) and SSIM (structural similarity) computations show that the proposed approach outperforms the two other denoising approaches (the first one is based on WT and the second one is based on LPG-PCA).
Organizational intelligence and agility in Shiraz University of Medical Sciences

Introduction: Organizational Intelligence is a combination of all skills that organizations need and use; it enables us to make organizational decisions. Organizational Intelligence can increase the effectiveness of the existing informational structures in achieving organizational goals and result in organizational agility. The aim of this study was to investigate the relationship between Organizational Intelligence and organizational agility in Shiraz University of Medical Sciences.Method: This is an applied study in terms of purpose and descriptive in terms of method. The study population consisted of 1200 employees working in Shiraz University of Medical Sciences. The subjects were selected via convenience sampling. Based on Cochran formula, a sample size of 296 was determined with a confidence level of 95%. The measurement tools included the 36-item Organizational Intelligence questionnaire developed by Albrecht (2003) and a researcher-developed organizational agility questionnaire with 30 items. Expert opinion was used to determine the validity of the questionnaires and reliability was confirmed using Cronbach’s alpha coefficient via SPSS, version 19.Results: Tenure employees had the highest frequency among the participants (50%). In terms of education, employees with a bachelor’s degree were the most frequent (58%). Values obtained for all variables showed a significant positive relationship between Organizational Intelligence and Agility.Conclusion: It is recommended that the university officials take measures to include Organizational Intelligence courses in in-service training programs to promote the agility of the university, and improve the service provision process and speed.Keywords: Organizations, Vision, Efficiency
Nonlinear Dynamical Systems and Humanistic Psychology

The recent debunking by Brown, Sokal, and Friedman of some high-profile results applying chaos theory to positive psychology creates the opportunity to shed light on the quality work that has been done by others in this area. Too many humanists may be unaware of the large volume of legitimate work that exists in the literature apart from Fredrickson and Losada’s article. Often, such legitimate lines of research are ignored, not for lack of scientific merit, but because of artificial guild boundaries and similar silos that separate groups of scientists—even when working in similar areas. It would be unfortunate to have one “bad apple” of an article spoil the reputation of the good scientific progress that has been made over the past couple of decades applying nonlinear dynamical systems theory to humanistic concepts. The present article is intended to help prevent and correct some of these problems, by providing an accesible review of some of this higher quality work.
THE POGGENDORFF ILLUSION: THE PRESENCE OF ANOMALOUS FIGURE IN GENERATING THE EFFECT

In the classical version of the Poggendorff illusion the two ends of a straight line segmentpassing behind an obscuring rectangle appear offset when, in fact, they are aligned. Previousresearch (Tibber et al., 2008) showed that the illusion persists when the obscuring rectangleis replaced by Kanizsa-like subjective contours. Spoto et al. (2008) show that the illusion isstill present when both the obscuring rectangle and transversal segments consist of Pac-Mantokens generating Kanizsa-like subjective contours; in addition, the illusion persists evenwhen the Pac-Man tokens are arranged so that no illusory contours are generated. In thepresent research the role of Pac-Man tokens in generating the Poggendorff illusion isinvestigated. Twenty-four participants have been tested using the adjustment method on twoconditions including Pac-Man tokens in one condition and not in the other. The response biasin the direction of the classical effect is discussed.
Improvements to the LANSCE accelerator timing system

The Los Alamos Neutron Science Center (LANSCE) 800 MeV proton linear accelerator (linac) operates at a maximum repetition rate of twice the AC power line frequency, i.e. 120 Hz. The start of each machine cycle occurs a fixed delay after each zero-crossing of the AC line voltage. Fluctuations in the AC line frequency and phase are therefore present on all linac timing signals. Proper beam acceleration along the linac requires that the timing signals remain well synchronized to the AC line. For neutron chopper spectrometers, e.g., PHAROS at the Manuel Lujan Jr. Neutron Scattering Center, accurate neutron energy selection requires that precise synchronization be maintained between the beam-on-target arrival time and the neutron chopper rotor position. This is most easily accomplished when the chopper is synchronized to a stable, fixed frequency signal. A new zero-crossing circuit which employs a Phase-Locked Loop (PLL) has been developed to increase the phase and frequency stability of the linac timing signals and thereby improve neutron chopper performance while simultaneously maintaining proper linac operation. Results of timing signal data analysis and modeling and a description of the PLL circuit are presented.
Remark on random attractor for a two dimensional incompressible non-Newtonian fluid withmultiplicative noise

where ◦ denotes the Stratonovich sense in the stochastic term, ωj(t),1≤ j≤m are mutually independent two-sided Wiener processes, and bj ∈R,1≤ j≤m are given. The unknown vector function u denotes the velocity of the fluids, g is the external body force vector, the scalar function π represents the pressure, and τij(e(u)) is a symmetric stress tensor. There are many fluid materials — for example liquid foams and polymeric fluids such as oil in water, blood, etc. — whose viscous stress tensors are represented by the form τij(e(u))=2μ0(ǫ+ |e(u)| ) p−2 2 eij(u)−2μ1∆eij(u), ǫ> 0, i,j=1,2, (1.5)
Microencapsulation of Herb for Food Application

Nutraceutical can be defined as any substance that is consumed as food or a part of a food that provides medical or health benefits including prevention and treatment of disease [1]. Herbal nutraceuticals are commonly used by people who seek alternative health care. The goal of achieving an optimal or maximal state of nutrition and health is becoming an increasing challenge with the introduction of newer categories of nutraceuticals. In recent past, there is rapid upsurge in usage and demand of herbal medicines and food preparation. According to WHO, the estimated world production was 62 billion US dollar which is projected to grow to US $5 trillion by 2050 [2].
Short Communication: Screening the potency of Zingiberaceae leaves as antioxidant and antiaging agent

Abstract. Zahra U, Kartika Y, Batubara I, Darusman LK, Maddu A. 2016. Short Communication: Screening the potency of Zingiberaceae leaves as antioxidant and antiaging agent. Nusantara Bioscience 8: 221-225. Zingiberaceae is a family of plant with antioxidant, anticancer, and antiaging activities. The use of the leaves part of this family has never been explored. Therefore, the aim of this research is to evaluate the antioxidant and antiaging activities of some Zingiberaceae’s leaves. The species of Zingiberaceae used in this study are Alpinia galanga (L), Curcuma aeruginosa Roxb, Curcuma longa L, Curcuma zedoaria, Curcuma xanthorrhiza Roxb, Boesenbergia rotunda (L.), Elettaria cardamomum, Zingiber zerumbet, Zingiber officinale Roscoe, and Zingiber purpureum Roscoe. Leaves were extracted with 2 different solvents sequentially: ethyl acetate and methanol. Total phenolic and flavonoid contents of the extracts were determined spectrophotometrically. Antioxidant activities were tested by using DPPH (2,2-diphenyl-1-picrylhydrazyl ) and ABTS (2,2'-azino-bis-3-ethyl benzothiazoline-6-sulfonic acid), whilst antiaging activity was tested by using antiglycation method. The results showed that the flavonoid content of the extracts was in the range of 0.83-25.17 g QE/100 g extract with total phenolic content ranging from 9.80-91.71 GAE mg/100 mg extract. The methanol extract of Curcuma xanthorrhiza displayed the highest antioxidant capacity in the DDPH (IC50 282.35 mg/mL) and TEAC (10.08%) assays, followed by the ethyl acetate extract of C. longa, ethyl acetic extract of C. xanthorrhiza and methanol extract of Z. officinale, while the most active antiglycation is the methanol extract of Z. officinale (IC50 203.85 mg/L).
DESIGN CONSIDERATIONS OF A SPECTROMETER DIPOLE MAGNET FOR THE PHOTO INJECTOR TEST FACILITY AT DESY IN ZEUTHEN

The test and optimization of electron guns at the Photoinjector Test Facility at DESY in Zeuthen (PITZ) demands dedicated diagnostics. The physical specifications of a spectrometer magnet for measurements at a beam momentum range from 15 to 40 MeV/c will be discussed. It will be used for measurements of the momentum distribution, slice emittance and the longitudinal phase space using two different methods. The first method combines the dipole magnet with a RF - transverse deflecting cavity, the second combines it with a Cherenkov radiator whose light is measured by a streak camera. Especially the first method is aiming for a good resolution in order to determine slice momentum spread. The design has to meet the demands of all these techniques for a measurement with high resolution and for bunch trains containing 7200 pulses of 1 nC charge at a repetition rate of 10 Hz. Since there is not enough space for a separate beam dump after the dispersive section the beam has to be transported to the dump of the main beamline.
On the relationship among Iranian EFL Leaners’ Crystallized Intelligence, Fluid Intelligence, Creativity, and their Performances on Multiple-Choice and Constructed-Response Items

Studies have been done on finding construct-irrelevant factors and cognitive processes involved in test taking. Previous studies have explored correlations between reading comprehension (RC) ability and psychological variables such as creativity and intelligence reporting significant relations. Many researchers try ing to figure out the difference between diverse formats performance. The present study takes interest in investigating if each test format performance is affected by cognitive traits of test takers. It investigates the effects of three psychological variables including Fluid intelligence (Gf), Crystallized intelligence (gc), and creativity (C) on reading comprehension (RC) performance where Multiple-Choice (MC) and Constructed-Response (CR) formats are involved for English as a Foreign Language (EFL) Learners. The relations among all five variables are examined applying Structural Equation Modeling (SEM) by hypothesizing a model related to the previous researches. The model goes through modifications twice and the final revision reports the relationships. Path analysis demonstrates direct significant effects in paths for Gc-MC, Gc-CR, Gf-CR and indirect significant effects in Gf-MC, creativity-MC, and creativity-CR. Therefore, CR items are the most affected format by those cognitive variables. The results are further discussed and concluded in more details.
Relationship between Mutations in DNA Sequences Loci Coding Pre-miRNAs and Genes Related to Biogenesis of SncRNAs with MiRNA Expression in Endometrial Carcinoma Tissues

Endometrial cancer (EC) is the most common and lethal gynaecological cancer type in Europe and in North America. Frequently EC arises more in the corpus proper and manifests as round, polypoid expansile masses, but it may also originate in the lower uterine segment or spread in endometrium with necrosis and hemorrhage. The analysis was performed using a custom panel containing all DNA sequences loci coding pre-miRNAs and genes related to biogenesis and regulation of sncRNAs in normal and tumor tissues extracted from 6 unrelated patients with endometrial carcinoma. The identified variations were correlated with mature miRNAs differentially expressed in the same normal and tumor endometrial tissues. The comparison analysis confirmed the high degree of cellular and genetic intratumoral heterogeneity with a temporal and spatial miRNA expression distribution in association with genomic variants identified. The classification of specific DNA mutations, onto the loci identified, should be suitable to characterize possible instability genome regions and help classification of tumors to ameliorate the clinical management of patients affected by endometrial carcinoma.
Experimental and Simulation Research of AC Ripple Losses in a High Temperature Superconductor Tape

Current leads in superconducting magnets are widely adopted for heavy current transmission, and HTS DC cables have great advantages when used as current leads for such purposes. However, as an important parameter of HTS DC cables, AC loss has a strong impact on the stability and operation cost of current leads. In this paper, experiments were conducted to measure AC ripple losses of HTS tapes and HTS cables, and simulations of HTS tapes were carried out. The paper has reached conclusions on the relation between AC losses and power frequencies.