Miracle-dz/UniFAR-FTUs huggingface dataset:
CORRELATION AMONG CAR DEPENDENCY, SOCIAL STATUS AND CAR USE IN JAKARTA

Aims of this research are to determine the prominent factor behind car dependency, examine the correlation between the factors that indicate car dependency, and the correlation between social status and car use in Jakarta. The primary question of this research is “What are the influence factors behind car dependency in Jakarta? Does prestige influence car use behavior in Jakarta? ” By using Jakarta as a case study, the research applies Factor Analysis and Logistic Regression Analysis based on Theory of Planned Behavior. It used to measure individual’s behavior based on attitudes toward behavior, subjective norm, and perceive behavior. The result shows that factors of dependency in term of car users consist of the starting place, habits, and control belief. While factors on car dependency for car users on occasion are intention and control belief. Correlation between prestige and car use is identified based on attitudes and subjective norm. For car users, attitudes are influenced by higher degrees of prestige which is slightly contrary to people who use cars occasionally. Other indicators of prestige are car types which can influence people’s behavior in using the car. The conclusion which can be drawn from the results are no significant correlation found between car dependency and social status, but significant in the case of correlation between car use and social status.
Proposal of PTS Method with Cycle Sample Shifting for PAPR Reduction in OFDM System

One of drawbacks in the usage of OFDM technique is its time domain signal with higher peak to average power ratio (PAPR), which leads the degradation of BER performance and the undesirable frequency spectrum re-growth in the non-linear channel. Partial Transmit Sequence (PTS) is considered as one of the promising methods, which can reduce the PAPR performance without any degradation of signal quality. Although PTS could improve the PAPR performance relatively as increasing the number of clusters and weighting factors, the computational complexity required at the transmission side would increase exponentially. This paper proposes a new PTS method with cycle sample shifting which can achieve the better PAPR performance than that for the conventional PTS method with keeping almost the same computational complexity. This paper presents the various computer simulation results to verify the effectiveness of proposed PTS method.
Complex source point concept in the modelling of dynamic control for optical beam deflection

A rigorous analytical method for transient dynamics description in a cylindrical lens is developed and used to describe a possibility of beam controlled deflection via material tuning. The complex source point concept is used to simulate beam passing through the lens. Details of both the transient response and steady-state regime are described. The excited fields are described using a rigorous mathematical approach based on analytical solution in the Laplace transform domain and accurate evaluation of residues at singular points of the obtained functions.
Interactive comment on “Comparison of OH concentration measurements by DOAS and LIF during SAPHIR chamber experiments at high OH reactivity and low NO concentration” by H. Fuchs et al

paper (submitted just after the current manuscript) reports a significant interference in LIF observations of OH using the Penn State OH system (GTHOS), which is apparent when on/off line OH measurements are compared with those performed using an OH scavenger (C3F6 or C3H8); the difference between these methods alters the measured OH by a (temperature dependent) factor of up to 40-50 %, in “biogenic” environments. As the present paper, and the work by Mao et al., are at least apparently directly contradictory in their conclusions with respect to LIF OH measurements (albeit from different instruments), it would be a useful contribution if (either within the manuscript, or this discussion) Fuchs et al. could comment on this discrepancy which may have origins in the differing instrument design / operating parameters, or the specifics of the chemical environments present in the SAPHIR chamber / BEARPEX campaign or of course may point to one or other study being in error. Similar points would apply to the discussion of the Mao et al. paper in ACPD.
MOLECULAR DIAGNOSIS OF RINDERPEST AND PESTE DES PETITS RUMINANTS VIRUS USING TRIZOL REAGENT

Reverse transcription polymerase chain reaction was standardized to diagnose and differentiate between rinderpest (RP) and Peste Des Petits Ruminants (PPR) viruses. The RNA of these viruses was isolated using trizol reagent. The P and N-gene primers amplified DNA of RP and PPR viruses, giving 429bp and 238bp, respectively in regular PCR. The F-gene specific primers amplified RP and PPR viruses giving DNA product of 372bp in regular PCR, while F-gene nested primers differentially amplified RPV and PPRV giving product of 309bp and 235bp, respectively in nested PCR.
Thermomechanical Analysis of Functionally Graded Composites under Laser Heating by the MLPG Method

The Meshless Local Petrov-Galerkin (MLPG) method is a novel numerical approach similar to finite element methods, but it allows the construction of the shape function and domain discretization without defining elements. In this study, the MLPG analysis for transient thermomechanical response of a functionally graded composite heated by Gaussian laser beams is presented. The composite is modeled as a 2-D strip which consists of metal and ceramic phases with the volume fraction varying over the thickness. Two sets of the micromechanical models are employed for evaluating the effective material properties, respectively. Numerical results are presented for the thermomechanical responses in both the transient and steady states. A parametric study with respect to the spatial distribution and volume fraction of material constituents, the rising rate of the laser power, and the radius of the laser beam is conducted. keyword: Meshless Particle Method, Functionally Graded Materials, MLPG, Thermomechanics, Laser Heating.
Epidemiological approach to the atrial fibrillation patients

Dicle Tıp Derg / Dicle Med J www.diclemedj. org Cilt / Vol 40, No 2, 332-339 Dicle Üniversitesi Tıp Fakültesi Kardiyoloji AD, Diyarbakır, Türkiye Yazışma Adresi /Correspondence: Faruk Ertaş, Dicle Üniversitesi Tıp Fakültesi Kardiyoloji AD, Diyarbakır, Türkiye Email: farukertas@hotmail.com Geliş Tarihi / Received: 22.03. 2013, Kabul Tarihi / Accepted: 24.04. 2013 Copyright © Dicle Tıp Dergisi 2013, Her hakkı saklıdır / All rights reserved Dicle Tıp Dergisi / 2013; 40 (2): 332-339 Dicle Medical Journal doi: 10.5798/diclemedj.0921. 2013.02. 0285
Low-level-jet scaling of the stable boundary layer over the United States Great Plains

Semi-arid conditions in the Great Plains of the United States produce strong surface cooling on clear nights. Under these conditions when the winds are greater than 5 m s -1 in the lowest 200 m of the atmosphere, the low-level jet (LLJ) is a recurrent feature of the nighttime stable boundary layer (SBL)(Banta et al. 2002). Here LLJ is taken to mean the vertical layer of the previous afternoon’s unstable boundary layer that accelerates in response to the nighttime surface cooling as described by Blackadar (1957). Profiles in this accelerated layer can assume different shapes (Banta et al. 2002, 2006), including the classic “nose” profile, a uniform or “flat” profile, and others as depicted in Fig. 1. This nocturnal wind acceleration produces a layer of strong shear adjacent to the earth’s surface (Fig. 2), which generates turbulence. It is this role as a generator of a surface-based turbulent layer—the SBL—that is the subject of this study.
Taylor rules, central bank preferences and inflation targeting

The objective of this paper is to infer the policy preferences of three inﬂation targeting central banks, Australia, Canada and New Zealand, using an estimated New Keynesian small open economy model. While I assume that the monetary authorities optimise, I depart from previous research by assuming that monetary policy is implemented via simple Taylor-type rules, as suggested by most of the empirical literature. I then derive the weights in the objective function that make the resulting optimal interest rate rule coincide with its estimated counterpart. Therefore, from the central bank’s point of view, actual policy is optimal.
Tax Evasion in Oil-Exporting Countries: The Case of Iran

N umerous studies have been conducted about the determinants of tax evasion. In all of these studies, this phenomenon has been taken into account in the framework of balanced budget and a non-oil economy. In this study the determinants are examined by extending an endogenous growth model and considering two cases for the government budget in an oil-exporting country along with its budget deficit. In addition, optimal tax rate, effective tax rate, economic growth rate, and rate of tax evasion are estimated. Based on Iran’s economy, the results show that the probability of detecting individuals and fine rate lead to an ambiguous effect on the rate of tax evasion, and furthermore, depending on the targeting, it could be positive or negative. Meanwhile the relationship between the changes in the parameter of private sector’s cost for tax evasion and changes in tax evasion is negative.
Carbon Nanotubes: Molecular and Electronic Properties of Regular and Defective Structures

In this chapter, we describe how structural parameters affect the reactivity of single- walled carbon nanotubes through global reactivity descriptors obtained by the DFT methods (B3LYP/6-31G(d) with real frequencies in all cases). First, we investigate regu- lar armchair , chiral , and zigzag nanotubes with bumpy defects (five- and seven-membered rings), finding that regular and defective zigzag nanotubes exhibit the greater conductive ability, reactivity, and capacity of nanotubes to be reduced. The bumpy defects favor those properties with greater intensity in chiral nanotubes. We also inves- tigate how the properties of armchair nanotubes change in the presence of bumpy, haeckelite, Stone-Wales, and zipper defects, and we found that armchair nanotubes with zipper defects show greater reactivity and better conducting abilities enhanced by nitrogen doping and longer nanotubes. In addition, for armchair nanotubes containing bumpy defects, our results reveal, considering B3LYP-D3 correction, that bumpy defects confer a greater ability to physically adsorb hydrogen, with adsorption energies of 0.32 eV/adsorbed H 2 . That value is considered ideal for the reversible adsorption of hydrogen at room temperature and low pressures and therefore favorable for use as a clean energy source. These results contribute to the future design of novel useful materials based in carbon nanotubes. ability, and better behavior as good electrophiles when compared with corresponding armchair and chiral nanotubes suggesting a high ability to be reduced. Within the armchair nanotubes, we highlight those with zipper defects over those with bumpy, haeckelite, and Stone-Wales defects. The armchair nanotubes with zipper defects are revealed to be more reactive, with high conductive capacity, good ability to acquire electronic density and to behave as good electrophiles, and potential good catalysts in redox reactions. Nitrogen doping reveals as an important parameter that increases the conductive ability and reactivity of armchair nanotubes of different diameter and length. Saturated nanotubes behave as less reactive than unsaturated nanotubes. Saturated armchair nanotubes with bumpy defects exhibit favorable values of the hydrogen physisorption energy suggesting a reversible hydrogen adsorption-desorption process at ambient conditions. These results are valuable to increase the understanding about carbon nanotubes activity and to contribute to the future design of novel useful materials.
The crustal magma chamber of the Katla volcano in south Iceland revealed by 2-D seismic undershooting

SUMMARY Results of a 2-D, seismic undershooting experiment on the Katla central volcano in south Iceland are reported. Large localized traveltime anomalies (0.4 s) are observed on an array within the Katla caldera. The traveltimes are forward modelled using a wavefront tracker developed in Appendix A. Thus, non-linear effects encountered in traveltime tomography are avoided as well as common problems with ray tracing in the presence of strong lateral heterogeneity. An extreme variation in compressional velocity is required to extend over a significant volume in order to model the data. The resulting model is not unique, but constraints on the allowable range of velocities (2.5-6.0 km s-') render the basic features well constrained. A clear S-wave shadow is closely associated with delays in traveltime due to a shallow slow anomaly. Low-amplitude P waves go hand in hand with early arrivals due to thin structural features flanking the slow anomaly. The model is interpreted in terms of a magma chamber containing extensively molten rock. The magma chamber is shallow, with a bottom at a depth of about 1.5 km below sea-level (3.0 km below surface), and measures about 5 km across. The depth of the chamber is roughly at the level of buoyant equilibrium for basaltic melt in the crust. Owing to poor vertical resolution at shallow depths in the undershooting geometry the top of this shallow magma chamber is not well resolved. On the other hand, the bottom of the chamber is well resolved. The chamber is underlain by rocks of average or high velocity for that depth. The magma chamber is a persistent feature, big enough (10 km3) to supply magma for large eruptions and to supply heat to permit remelting of hydrated basaltic crust to produce silicic magmas at shallow levels. The chamber is fed by magma fracturing from below. The model agrees with phenomenological models of magma chambers in Iceland based on geological observations and provides a quantification of those models in terms of depth and size. On the other hand, it is fundamentally different from recent models of magma chambers at mid-ocean ridges which may be more akin to the pervasive region of partial melt at depth beneath Iceland. This underlines the important effect of the Icelandic hotspot on tectonics and volcanism in Iceland and implies a substantially different crustal and thermal structure in Iceland from that of 'normal' mid-ocean ridges.
Static Beam-Based Alignment of the RF Structures in the CLIC Main Linac

In the Compact Linear Collider (CLIC), it is planned to use an active micro-mover system in order to align the components of the main linac with an accuracy in the micrometre range. This active alignment system has already been successfully tested in CTF2 [1]. The effectiveness of such an alignment system is simulated for different hardware configurations and correction algorithms.
A QUASI-VARIATIONAL INEQUALITY PROBLEM ARISING IN THE MODELING OF GROWING SANDPILES

Existence of a solution to the quasi-variational inequality problem arising in a model for sand surface evolution has been an open problem for a long time. Another long-standing open problem concerns determining the dual variable, the flux of sand pouring down the evolving sand surface, which is also of practical interest in a variety of applications of this model. Previously, these problems were solved for the special case in which the inequality is simply variational. Here, we introduce a regularized mixed formulation involving both the primal (sand surface) and dual (sand flux) variables. We derive, analyse and compare two methods for the approximation, and numerical solution, of this mixed problem. We prove subsequence convergence of both approximations, as the mesh discretization parameters tend to zero; and hence prove existence of a solution to this mixed model and the associated regularized quasi-variational inequality problem. One of these numerical approximations, in which the flux is approximated by the divergence-conforming lowest order Raviart-Thomas element, leads to an efficient algorithm to compute not only the evolving pile surface, but also the flux of pouring sand. Results of our numerical experiments confirm the validity of the regularization employed. 0 (Ω) and the nonnegative density of the distributed source f ∈ L 2 (0 ,T ; L 2 (Ω)) are given. We consider the growing sandpile y = w(x ,t ) and set an open boundary condition w|∂Ω =0 . Denoting by q(x ,t ) the horizontal projection of the flux of material pouring down the evolving pile surface, we can write the mass balance equation ∂w ∂t + ∇ . q = f. (1.1)
Secrecy rates of finite-input intersymbol interference channels

SECRECY RATES OF FINITE-INPUT INTERSYMBOL INTERFERENCE CHANNELS Serdar Hanoğlu M.S. in ELECTRICAL AND ELECTRONICS ENGINEERING Advisor: Tolga Mete Duman October 2016 Due to the broadcast nature of the communication medium, security is a critical problem in wireless networks. Securing the transmission at the physical layer is a promising alternative or complement to the conventional higher level techniques such as encryption. During the past decade, various studies have been carried out which investigate such possibilities in providing secrecy for different scenarios. On the other hand, secrecy over intersymbol interference (ISI) channels has not received significant attention, and much work remains to be done. With this motivation, we focus on secrecy rates of finite-input ISI channels for both fixed and fading channel coefficients. We argue that the secrecy rates of ISI channels can be computed by the forward recursion of the BCJR algorithm. Moreover, by utilizing Markov input distributions for transmission over the ISI channels, achievable secrecy rates can be increased. However, the existing iterative method in the literature to obtain the optimal Markov input distribution is computationally complex as many BCJR recursions are needed. Thus, we propose an alternative solution by introducing a codebook based approach. Particularly, among the existing Markov input distributions in the codebook, we propose to select the one which spectrally matches the main channel. Our numerical results reveal that the proposed low complexity approach undergoes a minimal loss with respect to the existing iterative algorithm while offering a considerably reduced complexity. We also propose injection of artificial noise (AN) to increase the secrecy rates, and show that this is especially useful for moderate and high signal to noise ratio (SNR) values where the use of Markov input distributions is not beneficial. We inject AN to frequencies where the eavesdropper’s channel is better than the iii
Market timing using asset rotation on exchange traded funds: a meta-analysis on trading performance

The ultimate goal of any “paper” investment strategy is to achieve real-life profitability. This paper measures the performance of a trading rule based on the relative pricing and relative volatility of a rotation strategy between two assets, using data from passive ETFs. To avoid problems of pair selection we work with meta-data obtained after the evaluation of a large number of 351 pairs of ETFs. In this way the authors analyze the performance of the proposed strategy on the cross-section of different ETFs. The results show that rotation trading, as applied in this paper, offers advantages even when the simplest model is used in generating trading signals. Furthermore, the authors find that the differences in the actual mean returns (over the evaluation period), the correlation of the pair components and to (a lesser extend) the volatilities of the ETFs can explain the success of the rotation strategies.
Semigroups of Locally Lipschitz Operators

In the previous paper [3] we characterized the continuous infinitesimal generators of semigroups of Lipschitz operators and applied the characterization to the Cauchy problem for a quasi-linear wave equation with dissipative term. The problem of characterizing the infinitesimal generator A of a semigroup of Lipschitz operators is closely related to the abstract Cauchy problem for A: (CP;x) u 0 (t) = Au(t) for t ‚ 0, and u(0) = x. In [3] the operator A was assumed to be continuous from a closed subset D of a real Banach space X into X satisfying a dissipative condition defined by means of a metric-like functional. The purpose of this paper is to extend the previous result to the case where A is continuous and dissipative in a local sense with respect to a lower semicontinuous functional ϕ on X such that the domain of A is the effective domain of ϕ. In Section 2, we give the main result (Theorem 2.1) of this paper. The present situation is considered to treat systems of nonlinear partial differential equations and the lower semicontinuous functionals are supposed to be constructed according to the nature of the nonlinear systems. In fact, Section 5 presents how the result obtained here is applied to the Cauchy problem for Kirchhoff equation with real analytic initial data.
Design of a Backdrivable Triglide Robot

The paper presents a novel Triglide robot that gives low inertia and low friction, back-drivability, no backlash, but stiffness in vertical direction. These features give the robot to be a good candidate as a collaborative assembly robot. A brief kinematics is also included. Compared to the other three translational degrees of freedom (DOF) parallel robots, the proposed Triglide is easier to construct and gives a higher stiffness in vertical direction. Its forward kinematics is also easier compared to those robots. Three experiments are used to demonstrate the capability of the robot including (1) Cascade Step response, (2) Record and Playback with a virtual wall and (3) Force control of the back-drivable Triglide.
An Assessment of Association between Natural Resources Agglomeration and Unemployment in Pakistan

Mostly economists believe that due to nonexistence of agglomeration economies, there are less chances of employment spatial distribution in an economy. Following the strands of previous literature about agglomeration special impacts, this study has uplifted the curtain from some interesting realities. This study has examined the association unemployment between natural resources agglomeration in Pakistan from 1980 to 2016. For measuring natural resources agglomeration, an index has been constructed based on coal production, oil production, forest area and agricultural land as percentage of total land area. The study has utilized autoregressive distributed lag (ARDL) method of co-integration. The results show that natural resources agglomeration, secondary school enrollment, foreign direct investment and inflation has negative and significant impact on unemployment in Pakistan. The results reveal that population is putting positive impact on unemployment in Pakistan. The study finds that natural resources agglomeration is an important factor for reducing unemployment in Pakistan. There are some other factors for agglomeration economies, i.e. local economic policies, natural resources availability and amount of manpower for employment spatial distribution in Pakistan. So efforts are needed on mega scale for exploration, proper usage and functioning of natural resources in Pakistan.