Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of shopping centre attributes on the destination preferences of trip makers in Brisbane

Shopping centres in Australia are playing an increasingly substantial role in providing customers with their daily and weekly requirements. This importance has increased as the advantages of purchasing retail goods in shopping centres has become more apparent to a population whose access opportunities are determined increasingly by private car use. The way in which many of these retail-oriented destinations have been located in Brisbane is explained by beneficial trade areas as well as customer preferences. A number of studies have identified that distance in addition to other destination attributes including type of retail outlet (a regional shopping centre from a local centre), retail employment and retail floor area of the centre are major factors which affect shoppers' preferences over destination choice. This study uses discrete choice modelling to investigate the importance of destination-specific, trip-specific and individual-specific characteristics of 1,676 retail trips to 194 different shopping centre destinations reported in the Brisbane Statistical Division. Two logit choice models have been developed that use 10 variables to investigate retail destination choice for various trip types including 'grocery and food', 'clothes', 'household goods' and 'personal goods'. The result provides a better understanding of the factors which influence Brisbane shoppers' destination choices. The results can help inform planners and decision makers to design a more sustainable retail environment.
Improving Unmanned Aerial Vehicle Formation Flight and Swarm Cohesion by Using Commercial Off the Shelf Sonar Sensors

Unmanned Aerial Vehicle (UAV) formation flight and swarming are active areas of research within the Department of Defense (DoD). These areas of study cover multiple engineering disciplines; from mechanical and aeronautical to computer science and human factors. The current use of low cost commercial off the shelf (COTS) components to architect UAV formation flights results in insufficient position accuracy of the UAVs in the formation. Latency in communication between autonomous vehicles degrades formation cohesion. This research aims to demonstrate the position error of formation flights decreases by using onboard sonar sensors to accurately measure the distance the follower UAV is from the leader UAV. The sensor enables the follower UAV to appropriately and quickly respond to errors in position by adjusting the followers velocity. The UAV architecture, using onboard sensors, demonstrated tighter formation cohesion by measuring the average position error during multiple flight tests of UAVs and compare these results with previous formation flight tests that did not utilize onboard sensors. The previous flight tests, used the same guided position algorithm, the same X-8 airframes, but no onboard sensor for real time distance error measurement. Since the previous flight test had a similar configuration. This assessment shows how position error was effected by incorporating the sonar sensor. This research effort was able to reduce the Root Mean Square Deviation (RMSD) by 37.3% and the average position error by 70.9% when compared to the previous flight tests without sonar.
Growth and yield of Cantaloupe melon 'Acclaim' in protected cultivation using agrotextile

In Rio Grande do Norte, the melon growers have been using the row cover on the roof of the plants to start flowering in order to reduce the population of insect pests that cause severe losses, rising production costs, especially with the application of defensive. Thus, it is important to know the best time to remove the row cover because, due to its use, it is assumed that there are changes in the physiological response of plants. In order to evaluate the growth and yield of the melon plants 'Acclaim' cultivated under protection agrotextile (TNT) for different periods, a trial was conducted at the Universidade Federal Rural do Semi-arido, Mossoro, Rio Grande do Norte state. The experimental design was a randomized complete block, with four replications, in a splitplot, the plots were the plant protection periods (0, 18, 21, 24, 27 and 30 days after transplanting, DAT), and splitplots, times of sampling the plants (13, 20, 27, 34, 41, 48 and 55 DAT). We evaluated the dry matter accumulation in leaves (LDMA), branches (BDMA), flowers (FDMA), fruits (FrdMA) and total (TDMA), assimilate partitioning, leaf area index (LAI), leaf weight ratio (LWR), absolute growth rate (AGR) and relative (RGR), net assimilation rate (NAR), total (PTOT) and marketable productivity (PCOM). The treatments with plant protection did not affect the TDMA which peaked at 295.12 g plant-1 at 53 DAT, with the fruits behaving like sink preferred plant, accounting for 72.25% of the dry mass accumulated. The LAI and the AGR grew by 55 and 42 DAT (1.95 and 18.518 g/plant/day), respectively, while the LWR and RGR decreased over the cycle, with peaks of 0.911 and 0.242 g/g/day, at 13 and 20 DAT, respectively. The PTOT and PCOM were not affected by periods of plant protection, with averages of 29.30 and 22.25 t ha-1, respectively, indicating that it is possible to manage the row cover in order to remove it later, that reduces costs and crop protection without significant loss in productivity.
Current Contour Based Design Methodology for IMN Design of Doherty Power Amplifiers

Carrier aggregation (CA) is used in modern communication schemes to increase communication bandwidth (BW) and reduce redundant equipment. This combined with the already high peak to average power ratio (PAPR) signals in use for complex modulation schemes results in stringent linearity requirements and degradation in the average drain efficiency (DE) in basic power amplifier (PA) topologies. This has led to research interests in highly efficient broadband PAs capable of addressing the bandwidth and multi-standard requirements. Several techniques have been developed to enhance the efficiency of PAs when driven by a modulated signal with high PAPR, but amongst them the Doherty power amplifier (DPA) has garnered considerable attention in research and commercial adoption. In this work the importance of the current profiles at the drain of the main and peaking amplifier in the DPA is examined. By looking at the effect of the nonlinear capacitance at the input of the transistor, it is seen that choice of impedance presented at the fundamental and second harmonic have a drastic effect on the performance of the overall PA. To combat these issues, the constant current circle is introduced to aid in the design of the input matching network (IMN) of the main and peaking. By using the current contours the fundamental drain current can be carefully dictated by presenting the correct impedance at the gate of the transistor versus frequency and input drive. Using the current contours in conjunction with the design methodology outlined allows for the simple design of DPA IMN to extract the most performance out of the output combining node (OCN). To validate the introduced material a 12-W 3.0-5.0GHz DPA was constructed using GaN HEMT transistors. The simulation results showed that the current profiles remained within range when using an iterative design approach along with current contours. Measurement results showed that the PA was able to achieve a gain of 8dB within the designed band. As well the efficiency at both peak and BO was greater than 37% across the band. To show the performance of the PA under modulated signal, the PA was tested with a 80MHz intraband non-contguous signal at 3.3GHz. Before DPD the reported ACLR was 37dBc/Hz. Applying a DPD engine, the ACLR was brought down to 48dBc/Hz, or the noise floor of the equipment.
A graph theoretical approach for a multistep mapping software for the FACETS project

This paper discusses the mapping problem, i.e. the assignment of complex biological networks to a special hardware system. The problem is modeled as a map of two disjoint sets. Further a graph model is introduced to overcome the lack of adequate system representations for the mapping software framework, which controls the complex mapping process. The characteristics of the graph model are described and possible applications for both the biological networks and hardware systems are shown. Consequently the mapping is expanded to a graph relation. After a short consideration of implementation aspects the mapping process, i.e. the handling with the graph models during creation of the mapping itself is represented.
Monopolistic competition, sticky prices, and the minimal mark-up in steady state

This note reports the rate of inflation that minimizes the mark-up of prices over marginal costs in the steady-state solution of a monopolistic competition model with either Taylor (1980) or Calvo (1983) pricing. The minimal mark-up is always found at a positive and low rate of inflation for any sensible parameter calibration. Actually, the rate of inflation that minimizes the mark-up is very close to ratio between the real rate of discount and the Dixit-Stiglitz elasticity. This result is robust to altenative sticky-price specifications.
Genetic variation and origin of teak (Tectona grandis L.f.) native and introduced provenances

Abstract A total of 420 individuals belonged to 18 native teak (Tectona grandis L.f.) provenances from all four distributed countries and 10 introduced provenances were analyzed to for genetic variation, structure and genetic origin using SSR markers. The unbiased gene diversity for each provenance ranged from 0.4692 to 0.8523 with a mean value 0.6612, showing high variation within teak provenances and variation in India provenances was highest than in other countries’ provenances. AMOVA analysis showed that the majority of variation existed within provenances (84.760%) and also substantial variation among countries (10.586%). As more as possible plus trees from large population should be selected or conserved in order to keep genetic variability for future improvement. Different countries populations should be preserved in the natural habitat or collected for ex site conservation with cooperation and region-wise strategies. A Mantel test revealed significant correlation between genetic distances and geographic distances of teak provenances (R=0.7355, P<0.001). The cluster analyses by UPGMA, PCA and STRUCTURE methods gave very similar results, showing India provenances were firstly differentiated, and Laos provenances clustered with Thailand provenances, then introduced provenances and Myanmar provenances successively joined in the clusters. The introduced provenances no. 19, 20, 22, 23, 25, 27 and 28 appeared to be very closely linked to Laos provenances (especially no. 17) and Thailand provenances (especially no. 5 and 6), while provenances no. 21, 24, 26 may be originated from Myanmar provenance (especially no. 16).
Anomalies of duality groups and extended conformal manifolds

A self-duality group $\cal G$ in quantum field theory can have anomalies. In that case, the space of ordinary coupling constants $\cal M$ can be extended to include the space $\cal F$ of coefficients of counterterms in background fields. The extended space $\cal N$ forms a bundle over $\cal M$ with fiber $\cal F$, and the topology of the bundle is determined by the anomaly. For example, the ${\cal G}=SL(2,\mathbb{Z})$ duality of the 4d Maxwell theory has an anomaly, and the space ${\cal F}=S^1$ for the gravitational theta-angle is nontrivially fibered over ${\cal M}=\mathbb{H}/SL(2,\mathbb{Z})$. We will explain a simple method to determine the anomaly when the 4d theory is obtained by compactifying a 6d theory on a Riemann surface in terms of the anomaly polynomial of the parent 6d theory. Our observations resolve an apparent contradiction associated with the global structure of the K\"ahler potential on the space of exactly marginal couplings of supersymmetric theories.
China’s Electricity Market Reform and Power Plants Efficiency

In the past three decades, Chinese electricity industry has experienced a series of regulatory reforms serving different purposes at different stages. In 2002, the former vertically integrated electricity utility - the State Power Corporation (SPC) – was divested and the generation sector was separated from the transmission and distribution networks in an effort to improve production efficiency. In this paper we study the impact of the reform on efficiency of fossil-fired power plants using plant-level data during 2000-2008. Our results from the data envelopment analysis (DEA) and panel regressions show that: 1) the total factor productivity (TFP) growth mainly comes from technological change; 2) the technical efficiency of previously SPC-managed power plants is converging to that of better-performing independent power producers (IPPs); 3) capacity utilization and unit size are significant factors affecting changes in technical efficiency and the pattern of converging technical efficiency between the two kinds of power plants; 4) most plants operate at increasing returns to scale indicating further cost savings could be achieved through increasing output.
Singing in a Tone Language : Shona

To what extent does speech melody influence the composition of song melody in tone languages? This is a question that has been raised periodically in both linguistics and musicology over the past century but has never been satisfactorily answered. This paper is a preliminary examination of vocal music from Shona that provides further evidence towards the solution of this puzzle through acoustic analysis of sung and spoken melodies of three songs in Shona, a Bantu language spoken in Zimbabwe. This examination shows that, in the songs examined, there is a statistically significant correspondence between the spoken melody and the sung melody but that the locus of parallelism is not predictable.
Turbulence generator using a precessing sphere

We propose a precessing sphere as a tabletop turbulence generator, which has less uncertainty in the setting of control parameters and the resulting high flow-reproducibility. The precession is realized by rotating the spin axis of a sphere around another axis (the precession axis). In our experiments, the two axes are fixed at right angles. The flow inside the sphere is governed only by two nondimensional parameters, one being Re (the Reynolds number defined by the maximum peripheral velocity around the spin axis) and the other being Γ (the rate of precession). The range of parameters for sustaining turbulence is revealed by the time-series analysis of velocity fields measured by particle image velocimetry. Well-developed turbulence can be sustained even for Γ of the order of a few percent when Re is beyond a few thousands.
Fabrication and electrical integration of robust carbon nanotube micropillars by self-directed elastocapillary densification

Vertically aligned carbon nanotube (CNT) ‘forest’ microstructures fabricated by chemical vapor deposition (CVD) using patterned catalyst films typically have a low CNT density per unit area. As a result, CNT forests have poor bulk properties and are too fragile for integration with microfabrication processing. We introduce a new self-directed capillary densification method where a liquid is controllably condensed onto and evaporated from the CNT forests. Compared to prior approaches, where the substrate with CNTs is immersed in a liquid, our condensation approach gives significantly more uniform structures and enables precise control of the CNT packing density. We present a set of design rules and parametric studies of CNT micropillar densification by self-directed capillary action, and show that self-directed capillary densification enhances Young's modulus and electrical conductivity of CNT micropillars by more than three orders of magnitude. Owing to the outstanding properties of CNTs, this scalable process will be useful for the integration of CNTs as a functional material in microfabricated devices for mechanical, electrical, thermal and biomedical applications.
Initial results using RISAT-1 C-band SAR data

Imaging radars provide information that is fundamentally different from sensors that operate in the visible and infrared portions of the electromagnetic spectrum. The Indian Space Research Organisation (ISRO) has launched a multi-mode, multi-polarization Synthetic Aperture Radar (SAR) on-board Radar Imaging SATellite-1 (RISAT-1) on 26 April 2012. Various data products from RISAT-1 SAR are now going through calibration–validation (cal–val) phase and soon will be available for the global users for operational and research purposes. In this regard, algorithms are being developed to retrieve various parameters in diverse application areas. This article deals with the in-house algorithm development for studying different resources using initial available data of RISAT-1.
Evaluating Public Policies with High Frequency Data: Evidence for Driving Restrictions in Mexico City Revisited

The evaluation of public policies is on the heart of the e cient management of public resources. As complex as it generally is, any reform should be assessed on its ability to achieve its preconceived goals. This research paper attempts to show the importance of the design of a public policy's empirical evaluation, considering the susceptibility that its conclusions might have to changes in the approach to the data. The work of Davis (2008), which nds that a driving restrictions program had no impact on air quality in Mexico City, is revisited showing that reasonable changes in the methodology used can dramatically alter its conclusions. Additionally, evidence is presented that shows the success of the restrictions program in reducing air pollution by 12 to 18% during the first months of its implementation followed by a gradual increase in pollutants concentration, consistent with more limited opportunities for adaptation to the policy in the short-run. Finally, an alternative and robust framework is proposed to carry out the policy evaluation con rming the reduction of pollution right after the program's implementation.
Submillimeter number counts at 250 μm, 350 μm and 500 μm in BLAST data

Context. The instrument BLAST (Balloon-borne Large-Aperture Submillimeter Telescope) performed the first deep and wide extragalactic survey at 250, 350 and 500 μm. The extragalactic number counts at these wavelengths are important constraints for modeling the evolution of infrared galaxies. Aims. We estimate the extragalactic number counts in the BLAST data, which allow a comparison with the results of the P(D) analysis of Patanchon et al. (2009). Methods. We use three methods to identify the submillimeter sources. 1) Blind extraction using an algorithm when the observed field is confusion-limited and another one when the observed field is instrumental-noise-limited. The photometry is computed with a new simple and quick point spread function (PSF) fitting routine (FASTPHOT). We use Monte-Carlo simulations (addition of artificial sources) to characterize the efficiency of this extraction, and correct the flux boosting and the Eddington bias. 2) Extraction using a prior. We use the Spitzer 24 μm galaxies as a prior to probe slightly fainter submillimeter flux densities. 3) A stacking analysis of the Spitzer 24 μm galaxies in the BLAST data to probe the peak of the differential submillimeter counts. Results. With the blind extraction, we reach 97 mJy, 83 mJy and 76 mJy at 250 μm, 350 μm and 500 μm respectively with a 95% completeness. With the prior extraction, we reach 76 mJy, 63 mJy, 49 mJy at 250 μm, 350 μm and 500 pm respectively. With the stacking analysis, we reach 6.2 mJy, 5.2 mJy and 3.5 mJy at 250 μm, 350 μm and 500 μm respectively. The differential submillimeter number counts are derived, and start showing a turnover at flux densities decreasing with increasing wavelength. Conclusions. There is a very good agreement with the P(D) analysis of Patanchon et al. (2009). At bright fluxes (> 100 mJy), the Lagache et al. (2004) and Le Borgne et al. (2009) models slightly overestimate the observed counts, but the data agree very well near the peak of the differential number counts. Models predict that the galaxy populations probed at the peak are likely z ~ 1.8 ultra-luminous infrared galaxies.
Role of correlations in the thermalization of quantum systems

We investigate the equilibration and thermalization properties of quantum systems interacting with a finite-dimensional environment. By exploiting the concept of time-averaged states, we introduce a completely positive map which allows us to describe in a quantitative way the dependence of the equilibrium state on the initial condition. Our results show that the thermalization of quantum systems is favored if the dynamics induces small system–environment correlations, as well as small changes in the environment, as measured by the trace distance.
A Qualitative Content Analysis of User Comments on YouTube Related to Counter Speech Videos Hate Beneath the Counter Speech? A Qualitative Content Analysis of User Comments on YouTube Related to Counter Speech Videos

The odds in stumbling over extremist material in the internet are high. Counter speech videos, such as those of the German campaign Begriffswelten Islam (Concepts of Islam; Bundeszentrale für politische Bildung, 2015a) published on YouTube, offer alternative perspectives and democratic ideas to counteract extremist content. YouTube users may discuss these videos in the comment sections below the video. Yet, it remains open which topics these users bring up in their comments. Moreover, it is unknown how far user comments in this context may promote hate speech—the very opposite of what counter speeches intent to evoke. By applying a qualitative content analysis on a randomly selected sample of user comments, which appeared beneath the counter speech videos of Concepts of Islam , we found that comments dominated, which dealt with devaluating prejudices and stereotypes towards Muslims and/or Islam. However, we also discovered that users in a large scale discussed the content of the videos. Moreover, we identified user comments, which hint at hateful speech either in comments themselves or the discourse the comments are embedded in. Based on these results, we discuss implications for researchers, practitioners and security agencies.
Heat Transfer Enhancement Techniques for Solar Air Collector Hater: Review

Nowadays, industrial are widely use solar air collectors for low moderate temperature applications such as liketimber seasoning, crop drying, and space heating. The high performance of the energy conversion and energystorage performance of the solar collectors has drawn the increasing attention energy research field. This paperfocuses on reviewing the developments different types of solar thermal and its applications, providing a reviewof solar collectors and methods of performance enhancement. The goal of this review is to provide the necessaryinformation for future solar power stations are overview.