Miracle-dz/UniFAR-FTUs huggingface dataset:
An Ambiguous-Race Illusion in Children's Face Memory

Adults show better memory for ambiguous faces of their own race than for ambiguous faces of another race, even when the faces are identical and differentiated only by extraneous cues to racial category. We investigated whether similar context effects operate early in development. Young children raised in predominantly White environments were presented with computer-generated White-Black morphed faces, each paired with either the White or the Black face that contributed to its construction, and were told that the two faces in each pair were siblings. The children's subsequent recognition memory was more accurate for faces that had been paired with White siblings than for faces that had been paired with Black siblings. The same effect did not obtain when the ambiguous faces were paired with White or Black faces that did not contribute to their construction and did not look like siblings. These findings suggest that face memory in children is not driven exclusively by visual information present in faces and instead depends on an interplay of categorical and perceptual information about race and relationships.
THE GEOSCOPE - A MIXED- REALITY SYSTEM FOR PLANNING AND PUBLIC PARTICIPATION

The augmentation of real environments with additional computer generated information (augmented reality, AR), and the addition of virtual contents (mixed reality, MR) are promising interaction paradigms for the support of applications outside the classical office scenario. While the potential of AR for applications such as geo-visualization has been shown using a number of demonstration systems, there are virtually no systems in daily use up to now. This is mainly due to technical reasons. Besides suitable displays, there is a lack of reliable and accurate tracking systems, which are however required for an exact registration of the virtual contents and the real scene. Additionally, there is a lack of experience and tools for the creation of mixed reality applications and often, of intuitive interaction techniques. Especially for applications involving public audience (e.g. exhibitions, museums, public participation), additional requirements apply, such as reliability, robustness, easy adaptation to different users, and the necessity for relatively low operating expenses. In this paper, we introduce the GeoScope, a mixed-reality input/output device, which addresses those problems, especially for public applications. The GeoScope is mounted at a fixed position and consists of a display, oriented towards the user, and a camera, which points at the surroundings. Just as a telescope, the GeoScope can be turned around two axes, the two angles being captured by measuring devices. Together with the known position, a fast and highly precise tracking of the current view direction is possible, allowing the superposition of the real scene, as delivered by the camera, and virtually generated information.
Excessive Adventitial Remodeling Leads to Early Aortic Maladaptation in Angiotensin-Induced Hypertension

The primary function of central arteries is to store elastic energy during systole and to use it to sustain blood flow during diastole. Arterial stiffening compromises this normal mechanical function and adversely affects end organs, such as the brain, heart, and kidneys. Using an angiotensin II infusion model of hypertension in wild-type mice, we show that the thoracic aorta exhibits a dramatic loss of energy storage within 2 weeks that persists for at least 4 weeks. This diminished mechanical functionality results from increased structural stiffening as a result of an excessive accumulation of adventitial collagen, not a change in the intrinsic stiffness of the wall. A detailed analysis of the transmural biaxial wall stress suggests that the exuberant production of collagen results more from an inflammatory response than from a mechano-adaptation, hence reinforcing the need to control inflammation, not just blood pressure. Although most clinical assessments of arterial stiffening focus on intimal–medial thickening, these results suggest a need to measure and control the highly active and important adventitia.
Weight Infants in Young Adulthood Intelligence of Very Preterm or Very Low Birth

dynamic health, personal and social later cognitive risk on intelligence adulthood in survivors early intensive We report a study embedded in the Collaborative Project on Preterm and Small for Gestational Age Infants in the Netherlands (POPS), an ongoing nation-wide follow-up study on the effects of prematurity and dysmaturity on later outcome. In this large geographically based cohort we examined the impact of neonatal conditions such as gestational age, intrauterine and neonatal growth, as well as of environmental and personal factors such as maternal age, parental education, sex and origin on intelligence in adulthood. or AGA-NGR) and GA were risk factors for intelligence at 19 years of age. Analyses were performed firstly with physical and cognitive handicaps included and secondly with handicaps excluded. The unstandardized regression coefficient (symbolized by B), including 95% confidence intervals (95% CI) and the standardized regression coefficient ( β ) are presented. Data were analysed with the SPSS 12.1 software program.
Efficient computation on oblivious RAMs

A machine is oblivious if the sequence in which it accesses memory locations is equivalent for any two programs with the same running time. For example, an oblivious Turing Machine is one for which the movement of the heads on the tapes is identical for each computation. (Thus, it is independent of the actual input.) What is the slowdown in the running time of any machine, if it is required to be oblivious? In 1979 Pippenger and Fischer [PF] showed how a twotape oblivious Turing Machine can simulate, on-line, a onetape Turing Machine, with a logarithmic slowdown in the running time. We show a similar result for the randomaccess machine (RAM) model of computation, solving an open problem posed by Goldreich [G]. In particular, we show how to do an on-line simulation of an arbitrary RAM program by a probabilistic RAM whose memory access pattern is independent of the program which is being executed, and with a poly-logarithmic slowdown in the running time. Our proof yields a technique of efficiently hiding (through randomization) the access pattern into any composite datastructure. As one of the applications, we exhibit a simple and efficient software protection scheme for a generic oneprocessor RAM model of computation.
Appendix 1 South Manchester Network from ENW

Synopsis: This study uses the estimated load models based on literature review and models the capability of primary substation to deliver demand response and reactive power absorption capability. The model related to primary substation to deliver demand response (Part A) will be validated against the measurements from the Trials. The model related to reactive power absorption capability (Part B) will be validated against the IPSA model used in ENWL. The key outcome of Part A is the analysis of the compliance with statutory limits of the network voltages at customers’ premises during voltage regulation techniques. The key outcome of Part B is the analysis that confirms the EHV network reactive power absorption capability across ENWL’s network.
Statistical pattern based modeling of GPU memory access streams

Recent research studies have shown that modern GPU performance is often limited by the memory system performance. Optimizing memory hierarchy performance requires GPU designers to draw design insights based on the cache & memory behavior of end-user applications. Unfortunately, it is often difficult to get access to end-user workloads due to the confidential or proprietary nature of the software/data. Furthermore, the efficiency of early design space exploration of cache & memory systems is often limited due to either the slow speed of detailed simulation techniques or limited scope of state-of-the-art cache analytical models. To enable efficient GPU memory system exploration, we present a novel methodology and framework that statistically models the GPU memory access stream locality. The proposed G-MAP (GPU Memory Access Proxy) framework models the regularity in codelocalized memory access patterns of GPGPU applications and the parallelism in GPU's execution model to create miniaturized memory proxies. We evaluate G-MAP using 18 GPGPU benchmarks and show that G-MAP proxies can replicate cache/memory performance of original applications with over 90% accuracy across over 5000 different L1/L2 cache, prefetcher and memory configurations.
Effectiveness of Residence Restrictions in Preventing Sex Offense Recidivism

Many municipalities have recently extended residence restrictions for sex offenders beyond the provisions of state law, although the efficacy of these measures in reducing recidivism has not been empirically established. This study used arrest histories in Jacksonville, Florida, to assess the effects of a recently expanded municipal 2,500-foot residence restriction ordinance on sex crimes and sex offense recidivism. Using a quasiexperimental design, pre- and posttest measures of recidivism were compared, and no significant differences in citywide sex crimes or recidivist sex crimes were found. In addition, time-series analysis revealed no significant differences in sex crime trends over time when compared with nonsex crimes from the same offender sample. After controlling for several demographic factors, individual-level multivariate results indicate that the timing of the residence restriction policy was not associated with a meaningful change in sex crime arrests or sex offender recidivism after the policy implementation date, suggesting that the residence restriction did not achieve its intended goal of reducing recidivism.
A new retarded PEEC model for antenna

In this paper, a new retarded PEEC model is proposed. The model uses current controlled current sources to account for magnetic field coupling between current cells instead of current controlled voltage sources in traditional retarded PEEC model. The computation saving is tremendous, since the L matrix is excessively large and dense for PEEC. A numerical example is given to show the validity of the proposed model. Future work that applies the new model in reconfigurable antenna system design is under way.
Identifying networks with common organizational principles

Many complex systems can be represented as networks, and the problem of network comparison is becoming increasingly relevant. There are many techniques for network comparison, from simply comparing network summary statistics to sophisticated but computationally costly alignment-based approaches. Yet it remains challenging to accurately cluster networks that are of a different size and density, but hypothesized to be structurally similar. In this paper, we address this problem by introducing a new network comparison methodology that is aimed at identifying common organizational principles in networks. The methodology is simple, intuitive and applicable in a wide variety of settings ranging from the functional classification of proteins to tracking the evolution of a world trade network.
COMPARING POLLEN DISPERSAL AND GENE FLOW IN A NATURAL POPULATION

While restricted gene flow allows populations to diversify in response to local natural selection or genetic drift, gene flow over long distances fosters genetic homogeneity (Slatkin, 1985). In flowering plants, gene flow occurs through movement of pollen grains and seeds, with pollen flow often contributing the major component (Levin and Kerster, 1974; Waser, 1991). Realized gene flow via pollen itself can depend both on movement of pollen to receptive stigmas (potential gene flow) and post-pollination events that affect fertilization as a function of the distance between mates (Levin and Kerster, 1974). It is well understood that movement of pollen depends not only on movements of animal pollinators but also on the extent of pollen carryover to successively visited flowers (Levin and Kerster, 1969; Waser and Price, 1983; Campbell, 1985). As a result, flight distances can underestimate gene flow (Schaal, 1980; Handel, 1983). How patterns of pollen movement themselves compare with realized gene flow has not been explored. Here I find that estimates of pollen movement can also underestimate gene flow. This discrepancy suggests strong post-pollination selection or biparental inbreeding depression, as well as occasional long distance movements undetected when dispersal is followed from a point source. I compare estimates of realized gene flow and pollen dispersal to stigmas in the same natural populations of Ipomopsis aggregata subsp. aggregata (Polemoniaceae). Earlier studies of the major pollinators, broadtailed and rufous hummingbirds (Selasphorus platycercus and S. rufus), showed that average movement of pollen could be estimated with accuracy by tracking individual particles of fluorescent powdered dyes applied to anthers (Waser and Price, 1982; Waser, 1988). Use of this technique has repeatedly demonstrated restricted pollen dispersal: the most extensive study of 16 sites estimated a genetic neighborhood area (Wright, 1943; Crawford, 1984) of only 18 m2 containing 8 to 29 flowering plants (Campbell and Waser, 1989). I now use paternity analysis to ask whether realized gene flow through pollen is similarly restricted.
Maximum Cohesive Grid of Superpixels for Fast Object Localization

This paper addresses a challenging problem of regularizing arbitrary super pixels into an optimal grid structure, which may significantly extend current low-level vision algorithms by allowing them to use super pixels (SPs) conveniently as using pixels. For this purpose, we aim at constructing maximum cohesive SP-grid, which is composed of real nodes, i.e SPs, and dummy nodes that are meaningless in the image with only position-taking function in the grid. For a given formation of image SPs and proper number of dummy nodes, we first dynamically align them into a grid based on the centroid localities of SPs. We then define the SP-grid coherence as the sum of edge weights, with SP locality and appearance encoded, along all direct paths connecting any two nearest neighboring real nodes in the grid. We finally maximize the SP-grid coherence via cascade dynamic programming. Our approach can take the regional objectness as an optional constraint to produce more semantically reliable SP-grids. Experiments on object localization show that our approach outperforms state-of-the-art methods in terms of both detection accuracy and speed. We also find that with the same searching strategy and features, object localization at SP-level is about 100-500 times faster than pixel-level, with usually better detection accuracy.
SpiNNaker: A multi-core System-on-Chip for massively-parallel neural net simulation

The modelling of large systems of spiking neurons is computationally very demanding in terms of processing power and communication. SpiNNaker is a massively-parallel computer system designed to model up to a billion spiking neurons in real time. The basic block of the machine is the SpiNNaker multicore System-on-Chip, a Globally Asynchronous Locally Synchronous (GALS) system with 18 ARM968 processor nodes residing in synchronous islands, surrounded by a light-weight, packet-switched asynchronous communications infrastructure. The MPSoC contains 100 million transistors in a 102 mm2 die, provides a peak performance of 3.96 GIPS and has a power consumption of 1W at 1.2V when all processor cores operate at nominal frequency. SpiNNaker chips were delivered in May 2011, were fully operational, and met power and performance requirements.
Pharmacophore‐Based Drug Design and Biological Evaluation of Novel ABCB1 Inhibitors

Overexpression of ABCB1 is one of major barriers for multidrug resistance in chemotherapy and limits drug oral bioavailability. Inhibition of ABCB1 would sensitize multidrug resistance in clinical cancer chemotherapy. With this aim, a 3D pharmacophore model was created based on known ABCB1 inhibitors with correlation coefficient of 0.94, comprising three hydrophobic features and one hydrogen bond acceptor. It was further validated and used to search our in‐house 3D database for potential ABCB1 inhibitors. The inhibitory activities of the best hits were evaluated by several biological assays, such as rhodamine 123 accumulation assay, chemosensitization assay, multidrug resistance 1‐Madin‐Darby canine kidney cells/Madin‐Darby canine kidney cells permeability assay. Finally, compounds YZ‐3 and YZ‐16 were identified as potential leads to be developed in the designing of novel potent ABCB1 inhibitors.
Structured learning for semantic role labeling

The use of complex grammatical features in statistical language learning assumes the availability of large scale training data and good quality parsers, especially for language different from English. In this paper, we show how good quality FrameNet SRL systems can be obtained, without relying on full syntactic parsing, by backing off to surface grammatical representations and structured learning. This model is here shown to achieve state-of-art results in standard benchmarks, while its robustness is confirmed in poor training conditions, for a language different for English, i.e. Italian.
Generation of high-intensity ultrasound through shock propagation in liquid jets

Gabriel Blaj,1 Mengning Liang,2 Andrew L. Aquila,2 Philip R. Willmott,2,3 Jason E. Koglin,2 Raymond G. Sierra,2,4 Joseph S. Robinson,2 Sébastien Boutet,2 and Claudiu A. Stan4,5,* 1Technology Innovation Directorate, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA 2Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA 3Paul Scherrer Institute, CH-5232 Villigen, Switzerland 4Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA 5Department of Physics, Rutgers University Newark, Newark, New Jersey 07102, USA
Data collection in delay tolerant mobile sensor networks using SCAR

Cecilia Mascolo Dept. of Computer Science, University College London Gower Street, London WC1E 6BT, United Kingdom c.mascolo@cs.ucl. ac.uk Mirco Musolesi Dept. of Computer Science, University College London Gower Street, London WC1E 6BT, United Kingdom m.musolesi@cs.ucl. ac.uk Bence Pasztor Dept. of Computer Science, University College London Gower Street, London WC1E 6BT, United Kingdom b.pasztor@cs.ucl. ac.uk
Jets, plumes and hotspots in the wide-angle tail source 3C 130

I present 1.5- and 8.4-GHz observations with all configurations of the NRAO VLA of the wide-angle tail source 3C130. The source has a pair of relatively symmetrical, wellcollimated inner jets, one of which terminates in a compact hot spot. Archival ROSAT PSPC data confirm that 3C130’s environment is a luminous cluster with little sign of sub-structure in the X-ray-emitting plasma. I compare the source to other wide-angle tail objects and discuss the properties of the class as a whole. None of the currently popular models is entirely satisfactory in accounting for the disruption of the jets in 3C130.
Computing self-supporting surfaces by regular triangulation

Masonry structures must be compressively self-supporting; designing such surfaces forms an important topic in architecture as well as a challenging problem in geometric modeling. Under certain conditions, a surjective mapping exists between a power diagram, defined by a set of 2D vertices and associated weights, and the reciprocal diagram that characterizes the force diagram of a discrete self-supporting network. This observation lets us define a new and convenient parameterization for the space of self-supporting networks. Based on it and the discrete geometry of this design space, we present novel geometry processing methods including surface smoothing and remeshing which significantly reduce the magnitude of force densities and homogenize their distribution.
Bitwise Competition Logic for compact digital comparator

In this paper, we present a bitwise competition logic (BCL) for the high performance and area efficient digital comparator. It compares two integer numbers using the location of the first 1 from the MSB, without arithmetic computations. The detail circuits to implement BCL, pre-encoder and selection logics are explained. The implemented BCL comparator shows 16%, 38% and 30% improved result in propagation delay, transistor count, and physical area compared to the other types of comparators. Measurement waveforms of fabricated BCL comparator verify its feasibility and functionality.
Electromagnetic analysis of a wound-field generator with flux-barrier rotor for AC generator sets

This paper proposes a synchronous-reluctance rotor structure for stand-alone power generators. The structure under analysis includes flux-barriers in order to improve saliency, leading to a reduction of the excitation field needed. Different design aspects like the number of barriers and the shape of the poles are discussed. The steady-state performances of the machine and transient parameters are investigated. A comparison with a conventional generator is presented to highlight the benefits and limitations of this rotor structure.
Processing Fluency as the Source of Experiences at the Fringe of Consciousness

We extend Mangan's account of fringe consciousness by discussing our work on processing experiences. Our research shows that variations in speed at different stages of perceptual processing can jointly contribute to subjective processing ease, supporting Mangan's notion that different mental processes condense into one subjective experience. We also discuss our studies showing that facilitation of perceptual processing
HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY

This article presents a laboratory-based hyperspectral imaging system designed and developed by the Instrumentation and Sensing Laboratory, U.S. Department of Agriculture, Beltsville, Maryland. The spectral range is from 430 to 930 nm with spectral resolution of approximately 10 nm (full width at half maximum) and spatial resolution better than 1 mm. Our system is capable of reflectance and fluorescence measurements with the use of dual illumination sources where fluorescence emissions are measured with ultraviolet (UV-A) excitation. We present the calibrations and image-correction procedures for the system artifacts and heterogeneous responses caused by the optics, sensor, and lighting conditions throughout the spectrum region for reflectance and fluorescence. The results of the fluorescence correction method showed that the system responses throughout the spectrum region were normalized to within 0.5% error. The versatility of the hyperspectral imaging system was demonstrated with sample fluorescence and reflectance images of a normal apple and an apple with fungal contamination and bruised spots. The primary use of the imaging system in our laboratory is to conduct food safety and quality research. However, we envision that this unique system can be used in a number of scientific applications.