Miracle-dz/UniFAR-FTUs huggingface dataset:
The Commensal Real-Time ASKAP Fast-Transients (CRAFT) Survey

Abstract We are developing a purely commensal survey experiment for fast (<5 s) transient radio sources. Short-timescale transients are associated with the most energetic and brightest single events in the Universe. Our objective is to cover the enormous volume of transients parameter space made available by ASKAP, with an unprecedented combination of sensitivity and field of view. Fast timescale transients open new vistas on the physics of high brightness temperature emission, extreme states of matter and the physics of strong gravitational fields. In addition, the detection of extragalactic objects affords us an entirely new and extremely sensitive probe on the huge reservoir of baryons present in the IGM. We outline here our approach to the considerable challenge involved in detecting fast transients, particularly the development of hardware fast enough to dedisperse and search the ASKAP data stream at or near real-time rates. Through CRAFT, ASKAP will provide the testbed of many of the key technologies and survey modes proposed for high time resolution science with the SKA.
Concise and accurate solutions to half-space binary-gas flo problems defined by the McCormack model and specular-diffuse wall conditions

An analytical version of the discrete-ordinates method (the ADO method) is used to establish concise and particularly solutions to the viscous-slip and the half-space thermal-creep problems for a binary gas mixture. The kinetic equat to describe the flow are based on the McCormack model for mixtures. In addition to a computation of the viscousthermal-slip coefficients, for the case of Maxwell boundary cond itions for each of the two species, the velocity, heat-flow a shear-stress profiles are established for both types of particles. Numerical results are reported for three binary mixture He–Ar and He–Xe) with various molar concentrations. The complete solution requires only a (matrix) eigenvalue/eig routine and the solution of a system of linear algebraic equations, and thus the algorithm is considered especiall use. The developed (FORTRAN) code requires typically less than 0.1 seconds on a 1.2 GHz Pentium-based PC to problems.  2003 Elsevier SAS. All rights reserved.
The impact of feedback on disc galaxy scaling relations

We use a disc galaxy evolution model to investigate the impact of mass outflows (a.k.a. feedback) on disc galaxy scaling relations, mass fractions and spin parameters. Our model follows the accretion, cooling, star formation and ejection of baryonic mass inside growing dark matter haloes, with cosmologically motivated angular momentum distributions, and dark matter halo structure. Models without feedback produce discs that are too small, too gas-poor and which rotate too fast. Feedback reduces the galaxy formation efficiency ∈ GF (defined as the fraction of the universally available baryons that end up as stars and cold gas in a given galaxy), resulting in larger discs with higher gas fractions and lower rotation velocities. Models with feedback can reproduce the zero-points of the scaling relations among rotation velocity, stellar mass and disc size, but only in the absence of adiabatic contraction. Our feedback mechanism is maximally efficient in expelling mass, but our successful models require 25 per cent of the supernova (SN) energy or 100 per cent of the SN momentum to drive an outflow. It remains to be seen whether such high efficiencies are realistic or not. Our energy- and momentum-driven wind models result in different slopes of various scaling relations. Energy-driven winds result in steeper slopes to the galaxy-mass―halo-mass and stellar-mass-halo-mass relations, a shallower slope to the galaxy-size-stellar-mass relation at z = 0 and a steeper slope to the cold gas metallicity-stellar-mass relation at z ≃ 2. Observations favour the energy-driven wind at stellar masses below M star ≤ 10 10.5 M ⊙ , but the momentum-driven wind model at high masses. The ratio between the specific angular momentum of the baryons to that of the halo (j gal /m gal ) is not unity in our models with inflow and outflow. Yet this is the standard assumption in models of disc formation. Above a halo mass of M vir ≃ 10 12 M ⊙ , cooling becomes increasingly inefficient, which results in (j gal /m gal ) decreasing with increasing halo mass. Below a halo mass of M vir ≃ 10 12 M ⊙ , feedback becomes increasingly efficient. Feedback preferentially ejects low-angular-momentum material because star formation is more efficient at smaller galactic radii and at higher redshifts. This results in (j gal /m gal ) increasing with decreasing halo mass. This effect helps to resolve the discrepancy between the high spin parameters observed for dwarf galaxies with the low spin parameters predicted from A cold dark matter.
On The Halo Occupation of Dark Baryons

We introduce a new technique that adopts the halo occupation framework for understanding the origin of QSO absorption-line systems. Our initial study focuses specifically on Mg II absorbers. We construct a model of the gaseous content in which the absorption equivalent width Wr is determined by the amount of cold gas, in the form of discrete clouds, along a sight line through a halo. The two quantities that we specify per halo in the model are (1) the mean absorption strength per unit surface mass density AW(M), and (2) the mean covering factor κg(M) of the gaseous clouds. These parameters determine the conditional probability distribution of Wr as a function of halo mass, P(Wr|M) . Two empirical measurements are applied to constrain the model: (1) the absorber frequency distribution function and (2) the Wr-dependent clustering amplitude. We find that the data demand a rapid transition in the gas content of halos at ~1011.5 h−1 M☉, below which halos contain predominantly cold gas and beyond which gas becomes predominantly hot. In order to reproduce the observed overall strong clustering of the absorbers and the anticorrelation between Wr and halo mass M, roughly 5% of gas in halos up to 1014 h−1 M☉ is required to be cold. The gas covering factor is near unity over a wide range of halo masses, supporting the idea that Mg II systems probe an unbiased sample of typical galaxies. We discuss the implications of our study in the contexts of mass assembly of distant galaxies and the origin of QSO absorption-line systems.
GEDI: Scalable Algorithms for Genotype Error Detection and Imputation

Genome-wide association studies generate very large datasets that require scalable analysis algorithms. In this report we describe the GEDI software package, which implements efficient algorithms for performing several common tasks in the analysis of population genotype data, including genotype error detection and correction, imputation of both randomly missing and untyped genotypes, and genotype phasing. Experimental results show that GEDI achieves high accuracy with a runtime scaling linearly with the number of markers and samples. The open source C++ code of GEDI, released under the GNU General Public License, is available for download at this http URL
Compass fusion: high precision indoor people localization and identification

Indoor localization has attracted more and more attention with the growth of emerging location-based services (LBS), e.g. microblogging, location-based content sharing, and interactive indoor multimedia display. In the literature, wireless-based indoor positioning for hand-held mobile devices is in meter-level precision, including WLAN (Wi-Fi), Bluetooth, and GSM-based approaches. A smartphone-based LBS fusing various sensors, such as accelerometer, digital compass, Wi-Fi, and GPS, can achieve the localization at a better room-level accuracy. In addition, the scanned Wi-Fi access point can determine the room-level identification for a mobile user. However, when multiple human subjects locating in the same coverage area for the same Wi-Fi access points, e.g. in the same room, the individuals often cannot be identified from each other. Therefore, in order to achieve a high precision in a centimeter level for the indoor localization, we extended our head detection scheme of detecting people from depth camera, with an average estimation accuracy of 98.72%, and an average distortion of 2.06 cm. That is, because the compass of a mobile device can provide the orientation of how a human subject holds the mobile device, we proposed to fuse the orientation information analyzed according to the trajectory of a human subject obtained from depth cameras, for enhancing both the indoor localization and people identification accuracies to a centimeter level.
Pengaruh Lingkungan Kerja Fisik, Motivasi Dan Komunikasi Terhadap Kepuasan Kerja Pegawai Pada Kantor Badan Perencanaan Pembangunan Daerah (Bappeda) Kabupaten Donggala

The intentions of study are : (1) to determine simultaneous influence of Physical Work Environment, Motivation, and Communication on Officials Satisfaction in the Regional Development Planning Agency of Donggala Regency , (2) to determine partial influence of Physical Work Environment on Officials Satisfaction in the Regional Development Planning Agency of Donggala Regency , (3) to determine partial influence of Motivation on Officials Satisfaction in the Regional Development Planning Agency of Donggala Regency, ( 4 ) to determine partial influence of Communication on Officials Satisfaction in the Regional Development Planning Agency of Donggala Regency. Method of analysis used is multiple linear regressions with 67 samples that are selected throught census technique. Based on the tests, the result cocludes that: 1) Physical Work Environment , Motivation, and Communication simultaneous have positive and significant influence satisfaction in the Regional Development Planning Agency of Donggala Regency; 2) Physical Work Environment has positive and significant influence satisfaction in the Regional Development Planning Agency of Donggala Regency; 3) Motivation, has positive and significant influence satisfaction in the Regional Development Planning Agency of Donggala Regency; 4) Simultaneous has positive and significant influence satisfaction in the Regional Development Planning Agency of Donggala Regency
Simulations of Cosmic Chemical Enrichment

Abstract We simulate cosmic chemical enrichment with a hydrodynamical model including supernova and hypernova feedback. We find that the majority of stars in present-day massive galaxies formed in much smaller galaxies at high redshifts, despite their late assembly times. The hypernova feedback drives galactic outflows efficiently in low mass galaxies, and these winds eject heavy elements into the intergalactic medium. The ejected baryon fraction is larger for less massive galaxies, correlates well with stellar metallicity. The observed mass-metallicity relation is well reproduced as a result of the mass-dependent galactic winds.
Extracellular Self-DNA (esDNA), but Not Heterologous Plant or Insect DNA (etDNA), Induces Plasma Membrane Depolarization and Calcium Signaling in Lima Bean (Phaseolus lunatus) and Maize (Zea mays)

Extracellular self-DNA (esDNA) is produced during cell and tissue damage or degradation and has been shown to induce significant responses in several organisms, including plants. While the inhibitory effects of esDNA have been shown in conspecific individuals, little is known on the early events involved upon plant esDNA perception. We used electrophysiology and confocal laser scanning microscopy calcium localization to evaluate the plasma membrane potential (Vm) variations and the intracellular calcium fluxes, respectively, in Lima bean (Phaseolus lunatus) and maize (Zea mays) plants exposed to esDNA and extracellular heterologous DNA (etDNA) and to etDNA from Spodoptera littoralis larvae and oral secretions. In both species, esDNA induced a significant Vm depolarization and an increased flux of calcium, whereas etDNA was unable to exert any of these early signaling events. These findings confirm the specificity of esDNA to induce plant cell responses and to trigger early signaling events that eventually lead to plant response to damage.
Long-Term Effects of Polychlorinated Biphenyls and Dioxins on Pregnancy Outcomes in Women Affected by the Yusho Incident

Background Maternal exposure to polychlorinated biphenyls (PCBs) is associated with increased proportions of spontaneous abortion and stillbirth in animal studies. In Japan in 1968, accidental human exposure to rice oil contaminated with PCBs and other dioxin-related compounds, such as polychlorinated dibenzofurans (PCDFs), led to the development of what was later referred to as Yusho oil disease. Objective The aim of this study was to investigate the association of maternal PCB and dioxin exposure with adverse pregnancy outcomes in Yusho women. Methods In 2004, we interviewed 214 Yusho women (512 pregnancies) about their pregnancy outcomes over the past 36 years. Pregnancy outcomes included induced abortion, spontaneous abortion, preterm delivery, and pregnancy loss. Results In pregnancy years 1968–1977 (within the first 10 years after exposure), the proportions of induced abortion [odds ratio adjusted for age at delivery (ORadj) = 5.93; 95% confidence interval (CI), 2.21–15.91; two-tailed p < 0.001) and preterm delivery (ORadj = 5.70; 95% CI, 1.17–27.79; p = 0.03) were significantly increased compared with the proportions in pregnancy years 1958–1967 (10 years before the incident). Spontaneous abortion (ORadj = 2.09; 95% CI, 0.84–5.18), and pregnancy loss (ORadj = 2.11; 95% CI, 0.92–4.87) were more frequent (OR = 2.18; 95% CI, 1.02–4.66), but these were not significant (p = 0.11 and p = 0.08, respectively) in pregnancy years 1968–1977. We found no significant increases in the proportions of these adverse pregnancy outcomes in pregnancies occurring during 1978–1987 or 1988–2003 compared with those in pregnancies before 1968. Conclusion High levels of PCB/PCDF exposure had some adverse effects on pregnancy outcome in Yusho women.
Managing wildlife populations with uncertainty: cormorants Phalacrocorax carbo

Managing wildlife populations for conservation, control or harvesting involves uncertainty. Nevertheless, decisions need to be made based on the available evidence. The two main sources of uncertainty in population modelling are parameter estimates and structural uncertainty. Structural uncertainty in models is not included as often as parameter uncertainty. We present an approach where parameter and structural uncertainty (strength of density dependence) is included within a model, using the over-wintering English population of cormorants Phalacrocorax carbo L. Because of the damage caused to inland fishery interests by cormorants, there was a change in UK government policy in autumn 2004, increasing the numbers of birds that can be shot under licence. A stochastic Monte Carlo annual population model was produced to examine the effect of changes to the numbers of birds shot each year. Indices of annual population size were converted to population estimates and used to determine annual growth rates and strength of density dependence. There is strong evidence for density dependence in the data, which suggests the population is currently slightly above carrying capacity, with a mean growth rate of 4–6% per annum. The 1300 birds shot under licence in 2004/05 represent about 4·5% of the English population, and if this level of culling continues, the population would be expected to decline by 9% by 2007, compared to the long-term average. The a priori preferred model, which included all uncertainty, gave predictions for 2004/05 and 2005/06 in close agreement with field data. The model was used to produce short-term population projections, with the understanding that Adaptive Resource Management (ARM) will be adopted to iteratively update the parameters and model each year, feeding back into the numbers of available licences. Synthesis and applications. We recommend the approach used in this study of including parameter and structural uncertainty within a single model, where possible, with the proportion of iterations that utilize a particular structure dependent on the weight of evidence for that structure. This will produce results with wider confidence intervals, but ensures that the evidence for any particular model is not over-interpreted.
Smooth transition autoregressions , neural networks , and linear models in forecasting macroeconomic time series : A re-examination

In this paper we examine the forecast accuracy of four univariate time series models for 47 macroeconomic variables of the G7 economies. The models considered are the linear autoregressive model, the smooth transition autoregressive model, and two neural network models. The two neural network models are different because they are specified using two different techniques. Forecast accuracy is assessed in a number of ways, comprising evaluation of point, interval and density forecasts. The results indicate that the linear autoregressive and the smooth transition autoregressive model have the best overall performance. Positive results for the nonlinear smooth transition autoregressive model may be largely due to the fact that linearity is tested before building any nonlinear model. This implies that a nonlinear model is employed only when there is a need for it, which makes the risk of fitting unidentified models to the data relatively low.
Group encoding of local features in image classification

Saliency is an important factor in feature coding, based on which saliency coding (SaC) has been proposed for image classification recently. SaC is both effective and efficient in case of a moderate-scale codebook. However, empirical studies show that SaC will lose its superiority as the codebook size increases. To address this problem, we propose a group coding strategy, wherein the latent structure information of a codebook is explored by grouping neighboring codewords into a group-code. We apply group coding to SaC and derive the group saliency coding (GSC) scheme. Thorough experiments on different datasets show that GSC consistently performs better than SaC, and also outperforms other popular coding schemes, e.g., local-constrained linear coding, in terms of both accuracy and speed.
Synthesizing Optimal Switching Lattices

The use of nanoscale technologies to create electronic devices has revived interest in the use of regular structures for defining complex logic functions. One such structure is the switching lattice, a two-dimensional lattice of four-terminal switches. We show how to directly construct switching lattices of polynomial size from arbitrary logic functions; we also show how to synthesize minimal-sized lattices by translating the problem to the satisfiability problem for a restricted class of quantified Boolean formulas. The synthesis method is an anytime algorithm that uses modern SAT solving technology and dichotomic search. It improves considerably on an earlier proposal for creating switching lattices for arbitrary logic functions.
Connections between the retrosplenial cortex and the hippocampal formation in the rat: A review

The retrosplenial cortex is situated at the crossroads between the hippocampal formation and many areas of the neocortex, but few studies have examined the connections between the hippocampal formation and the retrosplenial cortex in detail. Each subdivision of the retrosplenial cortex projects to a discrete terminal field in the hippocampal formation. The retrosplenial dysgranular cortex (Rdg) projects to the postsubiculum, caudal parts of parasubiculum, caudal and lateral parts of the entorhinal cortex, and the perirhinal cortex. The retrosplenial granular b cortex (Rgb) projects only to the postsubiculum, but the retrosplenial granular a cortex (Rga) projects to the postsubiculum, rostral presubiculum, parasubiculum, and caudal medial entorhinal cortex. Reciprocating projections from the hippocampal formation to Rdg originate in septal parts of CA1, postsubiculum, and caudal parts of the entorhinal cortex, but these are only sparse projections. In contrast, Rgb and Rga receive dense projections from the hippocampal formation. The hippocampal projection to Rgb originates in area CA1, dorsal (septal) subiculum, and postsubiculum. Conversely, Rga is innervated by ventral (temporal) subiculum and postsubiculum. Further, the connections between the retrosplenial cortex and the hippocampal formation are topographically organized. Rostral retrosplenial cortex is connected primarily to the septal (rostrodorsal) hippocampal formation, while caudal parts of the retrosplenial cortex are connected with temporal (caudoventral) areas of the hippocampal formation. Together, the elaborate connections between the retrosplenial cortex and the hippocampal formation suggest that this projection provides an important pathway by which the hippocampus affects learning, memory, and emotional behavior.
Oxidative stress promotes myofibroblast differentiation and tumour spreading

JunD regulates genes involved in antioxidant defence. We took advantage of the chronic oxidative stress resulting from junD deletion to examine the role of reactive oxygen species (ROS) in tumour development. In a model of mammary carcinogenesis, junD inactivation increased tumour incidence and revealed an associated reactive stroma. junD‐inactivation in the stroma was sufficient to shorten tumour‐free survival rate and enhance metastatic spread. ROS promoted conversion of fibroblasts into highly migrating myofibroblasts through accumulation of the hypoxia‐inducible factor (HIF)‐1α transcription factor and the CXCL12 chemokine. Accordingly, treatment with an antioxidant reduced the levels of HIF and CXCL12 and numerous myofibroblast features. CXCL12 accumulated in the stroma of HER2‐human breast adenocarcinomas. Moreover, HER2 tumours exhibited a high proportion of myofibroblasts, which was significantly correlated to nodal metastases. Interestingly, this subset of tumours exhibited a significant nuclear exclusion of JunD and revealed an associated oxido‐reduction signature, further demonstrating the relevance of our findings in human cancers. Collectively, our data uncover a new mechanism by which oxidative stress increases the migratory properties of stromal fibroblasts, which in turn potentiate tumour dissemination.
Evaluate Learner's Acceptance of Augmented Reality Based Military Decision Making Process Training System

This study is based on the science and technology acceptance model, the results that augmented reality system import Army Command and Staff learning methods, the impact of officer's situational awareness (SA) and intention to use (ITU). To develop an ARB-MDMP system for creating and presenting 3D image-based augmented reality, it provides realistic troops patterns, terrain environment, and immediate battlefield Intelligence. In order to verify the feasibility of the system, this study analyzed by experimental and questionnaire to evaluate the learners effect learning in AR system of MDMP training exercise environments. The subjects were 40 officers receiving the training in Army Command and Staff College were the subjects of this research. As follows from this study, perceived usefulness and perceived ease of use had a comparable effect on the attitude toward using augmented reality environments. However, situational awareness played a dominant role in determining the actual intention to use them. Simultaneously, participants have a high degree of interest to engage in the process of system operation and acceptance in the future.