Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Intelligence Quotient and Emotional Quotient on Employee Performance at Pt. Karna Titian Sejahtera Denpasar

The purpose of this study was to determine the effect of intelligence quotient and emotional quotient on employee performance at PT. Karna Titian Sejahtera Denpasar. The design of this study is causal research which investigates the relationship between variables, which are independent the variables are intelligence quotient (X1) and emotional quotient (X2) and k inerja employees (Y) as the dependent variable. Determination of the sample in this study using a census, which is if all members of the population as many as 34 people used as samples. Data analysis using SPSS V.23 software . The analysis technique used is multiple linear regression, multiple correlation, determination, t test and F test. The result is that intelligence quotient has a positive and significant effect on employee performance, emotional quotient has a positive and significant effect on employee performance, intelligence quotient and emotional quotient simultaneously have a positive and significant effect on employee performance at PT. Karna Titian Sejahtera Denpasar.
On the influence of core laminations upon power transformer noise

Power transformers can be sources of disturbing and annoying acoustic noise. This paper is a first phase report of a wider framework of study that investigates the noise radiation characteristics of air-cooled power transformers. The dynamics of the transformer core structure plays a significant role in the noise generation process. The reported work focuses on the influence of lamination of the core block on its structural dynamic behaviour. The degree of lamination of a core and its boundary conditions have been found to have a strong influence on its resonant behaviour and the need for an accurate modelling of these physical details has been observed through a combined experimental – numerical study. 1. Transformer noise – an annoying disturbance Power transformers are designed for the transmission and distribution of electrical power. Apart from satisfying this functional performance objective, the operation of a transformer happens to induce some annoying acoustic radiation. The requirement for more electrical power associated with the growing density of population, especially in urban areas, has resulted in enhancing the supply capacity of local electrical substations by adding more transformers, or building new substations of high power ratings closer to the neighbourhoods. This may result in the inhabitants in the vicinity being exposed to increased, and often disturbing, noise levels. Transformer acoustic noise is a hum characterised by spectral spikes at harmonics of the fundamental frequency (100 Hz /120 Hz) which is twice the line supply frequency. The transformer’s low frequency tonal noise components are the major source of annoyance and intrusion, invoking noise complaints from the residents, [1, 2]. A growing awareness and concern about public health problems due to noise pollution has brought transformer substations under the purview of tough regulations on excessive noise emission. Therefore, the need for compliance to stricter noise control regulations requires the construction of transformers that are less noise-prone and the design of efficient passive/active control systems for onsite noise control measures. For this purpose, a proper understanding of the noise generation in a transformer and an accurate estimation of its radiation characteristics are necessary.
Programming and Verifying Real-Time Systems by Means of the Synchronous Data-Flow Language LUSTRE

The benefits of using a synchronous data-flow language for programming critical real-time systems are investigated. These benefits concern ergonomy (since the dataflow approach meets traditional description tools used in this domain) and ability to support formal design and verification methods. It is shown, using a simple example, how the language LUSTRE and its associated verification tool LESAR, can be used to design a program, to specify its critical properties, and to verify these properties. As the language LUSTRE and its uses have already been discussed in several papers, emphasis is put on program verification. >
SCATTERING PARAMETER TRANSIENT ANALYSIS OF INTERCONNECT NETWORKS WITH NONLINEAR TERMINATIONS USING RECURSIVE CONVOLUTION

A novel method for analyzing interconnect networks with nonlinear terminations is presented. The circuit is partitioned into linear and nonlinear networks. A scattering parameter based macromodel is introduced to model the linear network. An efficient network reduction algorithm is developed to reduce the linear network into a network containing one multiport component (macromodel) together with sources and loads of interest. Exponentially Decayed Polynomial Functions (EDPF) are used to approximate the scattering parameters of the macromodel, which is always stable for stable circuits. In order to incorporate the macromodel into a SPICE like circuit simulator, a simplified recursive convolution formula is developed and Norton equivalent circuits are derived based on recursive convolution. Experiment results indicate that our method can approach the accuracy of SPICE3e2 with order of magnitudes less computing time.
Towards Topic Trend Prediction on a Topic Evolution Model with Social Connection

Hot topics are usually those breaking news discussed most at online forums, especially microblogging systems, such as twitter, which helps to learn user concentration and public opinion. This paper focuses on the problem of predicting emerging hot topics. Previous prediction models usually focus on building the content profile to discover the hot topics, they may neglect the social network function or overlook the keyword feature of the post. In this paper, we address this problem by introducing a combined model using the content and the connection information. We define the concept of topic hotness, introduce the algorithm calculating the hotness with content based hotness and connection based hotness, and finally we predict those emerging hot topics by the hotness evolution model.
Effects of Issue Involvement, News Attention, Perceived Knowledge, and Perceived Influence of Anti-Corruption News on Chinese Students’ Political Participation

Informed by the third-person effect hypothesis, this study used a survey of 1,060 Chinese university students to analyze the impact of anti-corruption news on Chinese audiences’ attitudes and political participation. This study found that university students tended to think the influence of anti-corruption news on others was greater than on themselves. In addition, issue involvement and new media attention to such news were found to reduce the self-other perceptual gap. Furthermore, the perceived effects of such news on self were positively associated with supportive attitude toward the anti-corruption policies. Meanwhile, perceived effects on others were negatively related to respondents’ political participation.
Particle swarm optimization protocol for clustering in wireless sensor networks: A realistic approach

In Wireless Sensor Network (WSN), Clustering sensor nodes is an efficient topology control method to reduce energy consumption of the sensor nodes. Many link quality-based clustering techniques have been proposed in the literature. However, they assumed that each sensor node is equipped with a self-locating hardware such as GPS. Though this is a simple solution, the resulting cost renders that solution inefficient and unrealistic. Furthermore, several studies has shown that link quality in WSN is not correlated with distance. In addition to that, they used an energy model that is fundamentally flawed for modelling radio power consumption in sensor networks. They ignore the listening energy consumption, which is known to be the largest contributor to expended energy in WSN. Clustering is a Non-deterministic Polynomial (NP)-hard problem for a WSN. Particle Swarm Optimization (PSO) is a swarm intelligent approach that can be applied for finding fast and efficient solutions of such problem. In this paper, a PSO-based protocol is used to find the optimal set of cluster heads that maximize the network coverage, energy efficiency and link quality. The effect of using a realistic network and energy consumption model in cluster-based communication for WSN was investigated. Numerical simulations demonstrate the effectiveness of the proposed protocol.
The Slope of the Black Hole Mass versus Velocity Dispersion Correlation

Observations of nearby galaxies reveal a strong correlation between the mass of the central dark object MBH and the velocity dispersion σ of the host galaxy, of the form log(MBH/M☉) = α + β log(σ/σ0); however, published estimates of the slope β span a wide range (3.75-5.3). Merritt & Ferrarese have argued that low slopes (≲4) arise because of neglect of random measurement errors in the dispersions and an incorrect choice for the dispersion of the Milky Way Galaxy. We show that these explanations and several others account for at most a small part of the slope range. Instead, the range of slopes arises mostly because of systematic differences in the velocity dispersions used by different groups for the same galaxies. The origin of these differences remains unclear, but we suggest that one significant component of the difference results from Ferrarese & Merritt's extrapolation of central velocity dispersions to re/8 (re is the effective radius) using an empirical formula. Another component may arise from dispersion-dependent systematic errors in the measurements. A new determination of the slope using 31 galaxies yields β = 4.02 ± 0.32, α = 8.13 ± 0.06 for σ0 = 200 km s-1. The MBH-σ relation has an intrinsic dispersion in log MBH that is no larger than 0.25-0.3 dex and may be smaller if observational errors have been underestimated. In an appendix, we present a simple kinematic model for the velocity-dispersion profile of the Galactic bulge.
The Synechocystis sp PCC 6803 Oxa1 Homolog Is Essential for Membrane Integration of Reaction Center Precursor Protein pD1[W]

Synechocystis sp PCC 6803 Slr1471p, an Oxa1p/Alb3/YidC homolog, is an essential protein for cell viability for which functions in thylakoid membrane biogenesis and cell division have been proposed. Using a fusion of green fluorescent protein to the C terminus of Slr1471p, we found that the mutant slr1471-gfp is photochemically inhibited when light intensities increase to 80 μmol·m−2·s−1. We show that photoinhibition correlates with an increased redox potential of the reaction center quinone QA− and a decreased redox potential of QB−. Analysis reveals that membrane integration of the D1 precursor protein is affected, leading to the accumulation of pD1 in the membrane phase. We show that Slr1471p interacts directly with the D1 protein and discuss why the accumulation of pD1 in two reaction center assembly intermediates is dependent on Slr1471p.
Hyperstoichiometric Interaction Between Silver and Mercury at the Nanoscale**

Breaking through the stoichiometry barrier: as the diameter of silver particles is decreased below a critical size of 32 nm, the molar ratio of aqueous Hg(II) to Ag(0) drastically increases beyond the conventional Hg/Ag ratio of 0.5:1, leading to hyperstoichiometry with a maximum ratio of 1.125:1. Therein, around 99% of the initial silver is retained to rapidly form a solid amalgam with reduced mercury.
Computation of the Likelihood in Biallelic Diffusion Models Using Orthogonal Polynomials

In population genetics, parameters describing forces such as mutation, migration and drift are generally inferred from molecular data. Lately, approximate methods based on simulations and summary statistics have been widely applied for such inference, even though these methods waste information. In contrast, probabilistic methods of inference can be shown to be optimal, if their assumptions are met. In genomic regions where recombination rates are high relative to mutation rates, polymorphic nucleotide sites can be assumed to evolve independently from each other. The distribution of allele frequencies at a large number of such sites has been called “allele-frequency spectrum” or “site-frequency spectrum” (SFS). Conditional on the allelic proportions, the likelihoods of such data can be modeled as binomial. A simple model representing the evolution of allelic proportions is the biallelic mutation-drift or mutation-directional selection-drift diffusion model. With series of orthogonal polynomials, specifically Jacobi and Gegenbauer polynomials, or the related spheroidal wave function, the diffusion equations can be solved efficiently. In the neutral case, the product of the binomial likelihoods with the sum of such polynomials leads to finite series of polynomials, i.e., relatively simple equations, from which the exact likelihoods can be calculated. In this article, the use of orthogonal polynomials for inferring population genetic parameters is investigated.
Optimizing the Colour and Fabric of Targets for the Control of the Tsetse Fly Glossina fuscipes fuscipes

Background Most cases of human African trypanosomiasis (HAT) start with a bite from one of the subspecies of Glossina fuscipes. Tsetse use a range of olfactory and visual stimuli to locate their hosts and this response can be exploited to lure tsetse to insecticide-treated targets thereby reducing transmission. To provide a rational basis for cost-effective designs of target, we undertook studies to identify the optimal target colour. Methodology/Principal Findings On the Chamaunga islands of Lake Victoria , Kenya, studies were made of the numbers of G. fuscipes fuscipes attracted to targets consisting of a panel (25 cm square) of various coloured fabrics flanked by a panel (also 25 cm square) of fine black netting. Both panels were covered with an electrocuting grid to catch tsetse as they contacted the target. The reflectances of the 37 different-coloured cloth panels utilised in the study were measured spectrophotometrically. Catch was positively correlated with percentage reflectance at the blue (460 nm) wavelength and negatively correlated with reflectance at UV (360 nm) and green (520 nm) wavelengths. The best target was subjectively blue, with percentage reflectances of 3%, 29%, and 20% at 360 nm, 460 nm and 520 nm respectively. The worst target was also, subjectively, blue, but with high reflectances at UV (35% reflectance at 360 nm) wavelengths as well as blue (36% reflectance at 460 nm); the best low UV-reflecting blue caught 3× more tsetse than the high UV-reflecting blue. Conclusions/Significance Insecticide-treated targets to control G. f. fuscipes should be blue with low reflectance in both the UV and green bands of the spectrum. Targets that are subjectively blue will perform poorly if they also reflect UV strongly. The selection of fabrics for targets should be guided by spectral analysis of the cloth across both the spectrum visible to humans and the UV region.
Report of the 2005 Snowmass top/QCD working group

This report discusses several topics in both top quark physics and QCD at an International Linear Collider (ILC). Issues such as measurements at the t{bar t} threshold, including both theoretical and machine requirements, and the determination of electroweak top quark couplings are reviewed. New results concerning the potential of a 500 GeV e{sup +}e{sup -} collider for measuring Wtb couplings and the top quark Yukawa coupling are presented. The status of higher order QCD corrections to jet production cross sections, heavy quark form factors, and longitudinal gauge boson scattering, needed for percent-level studies at the ILC, are reviewed. A new study of the measurement of the hadronic structure of the photon at a {gamma}{gamma} collider is presented. The effects on top quark properties from several models of new physics, including composite models, Little Higgs theories, and CPT violation, are studied.
ExoMol line lists – I. The rovibrational spectrum of BeH, MgH and CaH in the X 2Σ+ state

Accurate line lists for three molecules, BeH, MgH and CaH, in their ground electronic states are presented. These line lists are suitable for temperatures relevant to exoplanetary atmospheres and cool stars (up to 2000 K). A combination of empirical and ab initio methods is used. The rovibrational energy levels of BeH, MgH and CaH are computed using the programs level and dpotfit in conjunction with ‘spectroscopic’ potential energy curves (PECs). The PEC of BeH is taken from the literature, while the PECs of CaH and MgH are generated by fitting to the experimental transition energy levels. Both spin-rotation interactions (except for BeH, for which it is negligible) and non-adiabatic corrections are explicitly taken into account. Accurate line intensities are generated using newly computed ab initio dipole moment curves for each molecule using high levels of theory. Full line lists of rotation–vibration transitions for 9BeH, 24MgH, 25MgH, 26MgH and 40CaH are made available in an electronic form as supporting information to this paper and at www.exomol. com.
Preparation and Application of Starch/Polyvinyl Alcohol/Citric Acid Ternary Blend Antimicrobial Functional Food Packaging Films

Ternary blend films were prepared with different ratios of starch/polyvinyl alcohol (PVA)/citric acid. The films were characterized by field emission scanning electron microscopy (FE-SEM), thermogravimetric analysis, as well as Fourier transform infrared (FTIR) analysis. The influence of different ratios of starch/polyvinyl alcohol (PVA)/citric acid and different drying times on the performance properties, transparency, tensile strength (TS), water vapor permeability (WVP), water solubility (WS), color difference (ΔE), and antimicrobial activity of the ternary blends films were investigated. The starch/polyvinyl alcohol/citric acid (S/P/C1:1:0, S/P/C3:1:0.08, and S/P/C3:3:0.08) films were all highly transparent. The S/P/C3:3:0.08 had a 54.31 times water-holding capacity of its own weight and its mechanical tensile strength was 46.45 MPa. In addition, its surface had good uniformity and compactness. The S/P/C3:1:0.08 and S/P/C3:3:0.08 showed strong antimicrobial activity to Listeria monocytogenes and Escherichia coli, which were the food-borne pathogenic bacteria used. The freshness test results of fresh figs showed that all of the blends prevented the formation of condensed water on the surface of the film, and the S/P/C3:1:0.08 and S/P/C3:3:0.08 prevented the deterioration of figs during storage. The films can be used as an active food packaging system due to their strong antibacterial effect.
Massive MIMO with multi-antenna users: When are additional user antennas beneficial?

We analyze the performance of massive MIMO systems with $N$-antenna users. The benefit is that $N$ streams can be multiplexed per user, at the price of increasing the channel estimation overhead linearly with $N$. Uplink and downlink spectral efficiency (SE) expressions are derived for any $N$, and these are achievable using estimated channels and per-user-basis MMSE-SIC detectors. Large-system approximations of the SEs are obtained. This analysis shows that MMSE-SIC has similar asymptotic SE as linear MMSE detectors, indicating that the SE increase from having multi-antenna users can be harvested using linear detectors. We generalize the power scaling laws for massive MIMO to handle arbitrary $N$, and show that one can reduce the multiplication of the pilot power and payload power as $\frac{1}{M}$ where $M$ is the number of BS antennas, and still notably increase the SE with $M$ before reaching a non-zero asymptotic limit. Simulations testify our analysis and show that the SE increases with $N$. We also note that the same improvement can be achieved by serving $N$ times more single-antenna users instead, thus the additional user antennas are particular beneficial for SE enhancement when there are few active users in the system.
Concepts and Synonymy in the UMLS Metathesaurus

This paper advances a detailed exploration of the complex relationships among terms, concepts, and synonymy in the UMLS (Uniﬁed Medical Language System) Metathesaurus, and proposes the study and understanding of the Metathesaurus from a model-theoretic perspective. Initial sections provide the background and motivation for such an approach, and a careful informal treatment of these notions is offered as a context and basis for the formal analysis. What emerges from this is a set of puzzles and confusions in the Metathesaurus and its literature pertaining to synonymy and its relation to terms and concepts. A model theory for a segment of the Metathesaurus is then constructed, and its adequacy relative to the informal treatment is demonstrated. Finally, it is shown how this approach clariﬁes and addresses the puzzles educed from the informal discussion, and how the model-theoretic perspective may be employed to evaluate some fundamental criticisms of the Metathesaurus. For users of the UMLS, two signiﬁcant results of this analysis are a rigorous clariﬁcation of the different senses of synonymy that appear in treatments of the Metathesaurus and an illustration of the dangers in computing inferences involving ambiguous terms.
Molecular Evolution of Human Immunodeficiency Virus Type 1 upon Transmission between Human Leukocyte Antigen Disparate Donor-Recipient Pairs

Background To address evolution of HIV-1 after transmission, we studied sequence dynamics in and outside predicted epitopes of cytotoxic T lymphocytes (CTL) in subtype B HIV-1 variants that were isolated from 5 therapy-naive horizontal HLA-disparate donor-recipient pairs from the Amsterdam Cohort Studies on HIV-1 infection and AIDS. Methodology/Principal Findings In the first weeks after transmission, the majority of donor-derived mutations in and outside donor-HLA-restricted epitopes in Gag, Env, and Nef, were preserved in the recipient. Reversion to the HIV-1 subtype B consensus sequence of mutations in- and outside donor-HLA-restricted CTL epitopes, and new mutations away from the consensus B sequence mostly within recipient-HLA-restricted epitopes, contributed equally to the early sequence changes. In the subsequent period (1–2 years) after transmission, still only a low number of both reverting and forward mutations had occurred. During subsequent long-term follow-up, sequence dynamics were dominated by forward mutations, mostly (50–85%) in recipient-HLA-restricted CTL epitopes. At the end of long-term follow-up, on average 43% of the transmitted CTL escape mutations in donor-HLA-restricted epitopes had reverted to the subtype B consensus sequence. Conclusions/Significance The relatively high proportion of long-term preserved mutations after transmission points to a lack of back selection even in the absence of CTL pressure, which may lead to an accumulating loss of critical CTL epitopes. Our data are supportive for a continuous adaptation of HIV-1 to host immune pressures which may have implications for vaccine design.
Extending the product family approach to support n-dimensional and hierarchical product lines

The software product-line approach (for software product families) is one of the success stories of software reuse. When applied, it can result in cost savings and increases in productivity. In addition, in safety-critical systems the approach has the potential for reuse of analysis and testing results, which can lead to safer systems. Nevertheless, there are times when it seems like a product family approach should work when, in fact, there are difficulties in properly defining the boundaries of the product family. The authors draw on their experiences in applying the software product-line approach to a family of mobile robots as well as case studies done by others to: (1) illustrate how domain structure can currently limit applicability of product-line approaches to certain domains, and (2) demonstrate our initial progress towards a solution using a set-theoretic approach to reason about domains of what we call n-dimensional and hierarchical product families.