Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of parental viewing of children's risk behavior on home safety practices.

OBJECTIVE To examine the effects of parent viewing of their child's actual risk behavior on home safety practices. METHODS Sixty-one 4-to 7-year-old children and their caregivers participated in a three session project. Parents were exposed to one of three videos: (a) their own child with simulated home hazards, (b) a pilot child with hazards, or (c) a control child development video. Observations of home hazards as well as parent measures of supervision and vulnerability were completed pre and post-intervention. RESULTS Exposure to a video of a parent's own child playing with simulated hazards resulted in improved home safety practices. Exposure to a pilot child interacting with home hazards did not increase parent safety behaviors. No group differences in levels of vulnerability were found. CONCLUSIONS Parental attitudes are an important consideration in designing successful injury interventions. Increasing parental awareness of their child's risk to injury may be a valuable tool to change safety behaviors.
Effect of Supply Voltage on Ability and Stability in IP3 SRAM Bit-Cell at 45nm CMOS Technology using N-Curve

The Leakage power, performance, data retentation, and stability are the key challenges in Static Random Access Memory (SRAM) at Deep-Sub-Micron (DSM) CMOS technology. In the DSM technology, when threshold voltage, channel length, and gate oxide thickness are reduced, leakage currents in deep sub-micrometer regimes causes power dissipation in CMOS digital circuits which may affect the data ability and stability in the SRAM. In this work the effect of supply voltage has been observed in the IP3 SRAM Bit-Cell using N-Curve methodology at the room temperature (RT). To see the effect of supply voltage variations on the stability and ability parameters in the 6T and IP3 SRAM Bit-Cells, the supply voltage has been varied from 0.6V to 1.0V in step of 0.1V. It has been seen that the read, write stability and ability are comparable in both cells at RT. The other design parameters taken from the CMOS technology available on 45nm are as tOX = 2.4 nm, Vthn = 0.224 V, and Vthp = 0.24 V at RT = 27°C.
Pacific Asia Conference on Information Systems ( PACIS ) 2014 PREDICTING CONSUMER INFORMATION SEARCH BENEFITS FOR PERSONALIZED ONLINE PRODUCT RANKING : A CONFIDENCE-BASED APPROACH

Product ranking mechanism is an important service for e-commerce that facilitates consumers’ decision-making process. This paper studies online product ranking under uncertainty. Different from previous studies that generally rank products merely based on predicted ratings, a new personalized product ranking method is proposed based on estimating consumer information search benefits and taking prediction uncertainty and confidence into consideration. Experiments using real data of movie ratings illustrate that the proposed method is advantageous over traditional point estimation methods, thus may help enhance customers’ satisfaction with the decision-making process and choices through saving their time and efforts.
The periods of the intermediate polar RX J0153.3+7446

We present the first optical photometry of the counterpart to the candidate intermediate polar RX J0153.3+7446. This reveals an optical pulse period of 2333±5 s. Reanalysis of the previously published ROSAT X-ray data reveals that the true X-ray pulse period is probably 1974±30 s, rather than the 1414 s previously reported. Given that the previously noted orbital period of the system is 3.94 h, we are able to identify the X-ray pulse period with the white dwarf spin period and the optical pulse period with the rotation period of the white dwarf in the binary reference frame, as commonly seen in other intermediate polars. We thus confirm that RX J0153.3+7446 is indeed a typical intermediate polar.
Learning to Use Scene Context for Object Classification in Surveillance

Object classification in far-field outdoor video surveillance is a challenging problem because of low resolution, presence of shadows and projective image distortion. We present a classification system that learns to use scene context variables (such as position and orientation of objects), in addition to object variables (such as shape and size), to improve its performance in an arbitrary scene. The key feature of our system is that it needs only a small number of labeled examples from a few scenes, but extends well to novel scenes by extracting contextual information from unlabeled data. A three-step bootstrapping algorithm for adapting classifiers to a novel scene is proposed. A baseline classifier is first trained using object-specific features. This classifier is applied to a novel scene to calculate ‘labels’ for unlabeled data. Some of these labels are then incorporated into the training set of a scene-dependent classifier which uses both object and context features. Experimental results demonstrate the effectiveness of our adaptive classifiers for multiple urban scenes.
A System for Searching and Browsing Spoken Communications

As the amount of spoken communications accessible by computers increases, searching and browsing is becoming crucial for utilizing such material for gathering information. It is desirable for multimedia content analysis systems to handle various formats of data and to serve varying user needs while presenting a simple and consistent user interface. In this paper, we present a research system for searching and browsing spoken communications. The system uses core technologies such as speaker segmentation, automatic speech recognition, transcription alignment, keyword extraction and speech indexing and retrieval to make spoken communications easy to navigate. The main focus is on telephone conversations and teleconferences with comparisons to broadcast news.
Outflow or galactic wind: the fate of ionized gas in the halos of dwarf galaxies

Context. Hα images of star bursting irregular galaxies reveal a large amount of extended ionized gas structures, in some cases at kpc-distance away from any place of current star forming activity. A kinematic analysis of especially the faint structures in the halo of dwarf galaxies allows insights into the properties and the origin of this gas component. This is important for the chemical evolution of galaxies, the enrichment of the intergalactic medium, and for the understanding of the formation of galaxies in the early universe. Aims. We want to investigate whether the ionized gas detected in two irregular dwarf galaxies (NGC 2366 and NGC 4861) stays gravitationally bound to the host galaxy or can escape from it by becoming a freely flowing wind. Methods. Very deep Hα images of NGC 2366 and NGC 4861 were obtained to detect and catalog both small and large scale ionized gas structures down to very low surface brightnesses. Subsequently, high-resolution long-slit echelle spectroscopy of the Hα line was performed for a detailed kinematic analysis of the most prominent filaments and shells. To calculate the escape velocity of both galaxies and to compare it with the derived expansion velocities of the detected filaments and shells, we used dark matter halo models. Results. We detected a huge amount of both small scale (up to a few hundred pc) and large scale (about 1–2 kpc of diameter or length) ionized gas structures on our Hα images. Many of the fainter ones are new detections. The echelle spectra reveal outflows and expanding bubbles/shells with velocities between 20 and 110 km s −1 . Several of these structures are in accordance with filaments in the Hα images. A comparison with the escape velocities of the galaxies derived from the NFW dark matter halo model shows that all gas features stay gravitationally bound.
The Hamburg/SAO Survey for low metallicity blue compact H II galaxies (HSS–LM) - I. The first list of 46 strong-lined galaxies

We present the description and the first resultsof a new project devoted to the search for extremely metal- deficient blue compact/H -galaxies (BCGs) and to the creation of a well selected large BCG sample with strong emission lines. Such galaxies should be suitable for reliable determination of their oxygen abundance through the measurement of the faint (O ) λ4363 A line. The goals of the project are two-fold: a) to discover a significant number of new extremely metal- poor galaxies (Z 1/20 Z� ), and b) to study the metallicity distribution of local BCGs. Selection of candidates for follow-up slit spectroscopy is performed on the database of objective prism spectra of the Hamburg Quasar Survey. The sky region is limited by δ ≥ 0 ◦ and b II ≤− 30 ◦ . In this paper we present the results of the follow-up spectroscopy conducted with the Russian 6m telescope. The list of observed candidates contained 52 objects, of which 46 were confirmed as strong-lined BCGs (EW((O ) λ5007) ≥ 100 A). The remaining five lower excitation ELGs include three BCGs, and two galaxies classified as SBN (Starburst Nucleus) and DANS (Dwarf Amorphous Nucleus Starburst). One object is identified as a quasar with a strong Lyα emission line near λ5000 A (z ∼ 3). We provide a list with coordinates, measured radial velocities, B-magnitudes, equiv- alent widths EW((O ) λ5007) and EW(Hβ) and for the 46 strong-lined BCGs the derived oxygen abundances 12+log(O/H). The abundances range between 7.42 and 8.4 (corresponding to metallicities between 1/30 and 1/3 Z� ). The sample contains four galaxies with Z 1/20 Z� , of which three are new discoveries. This demonstrates the high efficiency of the new project to find extremely metal-deficient galaxies. The radial velocities of the strong-lined ELGs range between 500 and 19000 kms −1 with a median value of ∼6400 kms −1 . The typical B-magnitudes of the galaxies presented are 17. m 0−18. m 0.
A new enhanced SPFD rewiring algorithm [logic IC layout]

This paper presents an in-depth study of the theory and algorithms for the SPFD-based (set of pairs of functions to be distinguished) rewiring, and explores the flexibility in the SPFD computation. Our contributions are in the following two areas: (1) We present a theorem and a related algorithm for more precise characterization of feasible SPFD-based rewiring. Extensive experimental results show that for LUT-based FPGAs, the rewiring ability of our new algorithm is 70% higher than SPFD-based local rewiring algorithms (SPFD-LR) and 18% higher than the recently developed SPFD-based global rewiring algorithm (SPFD-GR). (2) In order to achieve more rewiring ability on certain selected wires used in various optimizations, we study the impact of using different atomic SPFD pair assignment methods during the SPFD-based rewiring. We develop several heuristic atomic SPFD pair assignment methods for area or delay minimization and show that they lead to 10% more selected rewiring ability than the random (or arbitrary) assignment methods. When combining (1) and (2) together, we can achieve 38.1% higher general rewiring ability.
A Universidade no século XXI: Para uma reforma democrática e emancipatória da Universidade

Na primeira parte, procede a analise das transformacoes recentes no sistema de ensino superior e o impacto destas na universidade publica. Na segunda parte, identifica e justifica os principios basicos de uma reforma democratica e emancipatoria da universidade publica, ou seja, de uma reforma que permita a universidade publica responder criativa e eficazmente aos desafios com que se defronta no limiar do seculo XXI.
Fast Processing of Web Usage Mining with Customized Web Log Pre-processing and modified Frequent Pattern Tree

Web Usage Mining discovers interesting patterns in accesses to various Web pages within the Web space associated with a particular server. The Web Usage Mining architecture divides the process into two main partsthe first part includes preprocessing, transaction identification, and data integration components. The second part includes the largely domain independent application of generic data mining and pattern matching. This paper contains an efficient improved iterative FP Tree algorithm for generating frequent access patterns from the access paths of the users. The frequent access patterns are generated by backward tree traversals. This operation will take less time compare to the existing algorithms. Paper also composed of customized web log preprocessing for mined in different applications.
Improved Coupled Ion-Flow Field Calculation Method for AC/DC Hybrid Overhead Power Lines

The conversion of multicircuit ac transmission lines to hybrid ac/dc lines is a promising way of substantially increasing transmission capacities in areas where it is difficult to obtain new rights of way. Critical questions related to such a conversion include the impact on the electric fields and ion currents at the ground level, as well as the dc current coupling into the ac phases. In this paper, a new procedure based on the method of characteristics is proposed for solving the fully coupled ion-flow problem. The method does not make the Deutsch assumption and is fast and stable even for high assumed wind speeds. A hybrid tower is simulated with different voltages and wind speeds. The results show the influence of the onset gradient, the dc line voltage, and the wind speed on the current coupling as well as the electric field and ion current density at the ground level. It is shown that the new proposed method can serve as the tool for dimensioning real hybrid towers.
Dynamic Pricing Decision in a Duopolistic Retailing Market

Under the uncertain demand and variable environment, we studied the enterprises' dynamic decision problem on price strategies in duopolistic retailing market. In the game, two enterprises simultaneously choose their strategic variable in each period to maximize their expect revenue. We use Markov decision processes to build up the model and resolve it, and design two kinds of reinforcement learning methods which are named Nash Q-learning and Best-response Q-learning to simulate the model. Through the numerical study, we draw a conclusion that compared to the Nash Q-learning method the Best-response Q-learning is a better method to give a dynamic pricing decision in duopolistic retailing market
A multivariable generalized predictive control approach based on T-S fuzzy model

In this paper, the Takagi-Sugeno (T-S) fuzzy model is used to express dynamic systems, and an on-line identification algorithm for its parameters and structures is presented. A new multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark's principle of single-variable generalized predictive control, some of whose performances are analysed in detail. A simulation study of the multivariable load system of electric generating unit shows that the approach is superior to conventional load control systems.
The Role of Podoplanin in the Biology of Differentiated Thyroid Cancers

Podoplanin (PDPN), a mucin-type transmembrane glycoprotein specific to the lymphatic system is expressed in a variety of human cancers, and is regarded as a factor promoting tumor progression. The purpose of this study was to elucidate the molecular role of PDPN in the biology of thyroid cancer cells. PDPN expression was evaluated in primary thyroid carcinomas and thyroid carcinoma cell lines by RT-qPCR, Western blotting, IF and IHC. To examine the role of podoplanin in determining a cell's malignant potential (cellular migration, invasion, proliferation, adhesion, motility, apoptosis), a thyroid cancer cell line with silenced PDPN expression was used. We observed that PDPN was solely expressed in the cancer cells of 40% of papillary thyroid carcinoma (PTC) tissues. Moreover, PDPN mRNA and protein were highly expressed in PTC-derived TPC1 and BcPAP cell lines but were not detected in follicular thyroid cancer derived cell lines. PDPN knock-down significantly decreased cellular invasion, and modestly reduced cell migration, while proliferation and adhesion were not affected. Our results demonstrate that PDPN mediates the invasive properties of cells derived from papillary thyroid carcinomas, suggesting that podoplanin might promote PTC progression.
Identification of Different Types of Non-Holonomic Mobile Robots

This paper presents the real-time identification of different types of non-holonomic mobile robot systems. Since the robot type is a priori unknown, the robot systems are formulated as a switched singular nonlinear system, and the problem becomes the real-time identification of the switching signal, and then the existence of the input-output functions and the distinguishability of the system are studied. We show in the simulations that the proposed technique is implemented easily and effectively, and it is robust to the noises as well.
REFUGIAL ORIGINS OF REINDEER (RANGIFER TARANDUS L.) INFERRED FROM MITOCHONDRIAL DNA SEQUENCES

Abstract The glacial-interglacial cycles of the upper Pleistocene have had a major impact on the recent evolutionary history of Arctic species. To assess the effects of these large-scale climatic fluctuations to a large, migratory Arctic mammal, we assessed the phylogeography of reindeer (Rangifer tarandus) as inferred from mitochondrial DNA (mtDNA) sequence variation in the control region. Phylogenetic relationships among haplotypes seem to reflect historical patterns of fragmentation and colonization rather than clear-cut relationships among extant populations and subspecies. Three major haplogroups were detected, presumably representing three separate populations during the last glacial. The most influential one has contributed to the gene pool of all extant subspecies and seems to represent a large and continuous glacial population extending from Beringia and far into Eurasia. A smaller, more localized refugium was most likely isolated in connection with ice expansion in western Eurasia. A third glacial refugium was presumably located south of the ice sheet in North America, possibly comprising several separate refugial populations. Significant demographic population expansion was detected for the two haplogroups representing the western Eurasian and Beringian glacial populations. The former apparently expanded when the ice cap retreated by the end of the last glacial. The large continuous one, in contrast, seems to have expanded by the end of the last interglacial, indicating that the warm interglacial climate accompanied by marine transgression and forest expansion significantly confined population size on the continental mainland. Our data demonstrate that the current subspecies designation does not reflect the mtDNA phylogeography of the species, which in turn may indicate that morphological differences among subspecies have evolved as adaptive responses to postglacial environmental change.
Router Assisted Overlay Multicast

While multicasting is considered valuable for content distribution, it is not widely supported on the Internet. Content providers have instead turned to peer assisted content distribution in order to efficiently serve large numbers of clients via unicast, thus removing the bandwidth bottleneck from their side. The redundant unicast transmissions of the same packet are not avoided however, they are just distributed between the peers. Since peer assisted content distribution represents a major fraction of total Internet traffic, a more efficient distribution scheme would be of great interest to users and network operators alike. For this reason, we reconsider overlay multicast as a potential solution for mass content distribution. We present an overlay multicast scheme inspired by Scribe that exploits cooperative access routers so as to improve the multicast content distribution trees produced. We investigate the properties of our scheme compared to both regular Scribe and IP multicast over Internet-like network topologies, via a full fledged simulation platform that can be used as a basis for the realistic evaluation of multicast based content distribution applications.
Lossless Compression A

Compression is an aspect of computing that many people have dabbled in—how can anyone not be intrigued by the seeming magic of getting something for nothing—and it is my additional hope that experts in other fields, and those amongst you that are practitioners rather than researchers, will also find the papers in this issue of interest. One of the consequences of the relentless increase in computing power that we are in the midst of is that compression is becoming more and more important as a component of large software systems. The ever-decreasing ratio between the time of a CPU cycle and the time taken to locate and transfer data from secondary storage media means that it is now possible for an application to execute faster with embedded compression than without. That is, with a careful choice of methods, data can now often be decoded within the extra time that would, in the absence of compression, be spent fetching more of it [1]. The range of ‘disk-doubling’ software tools available for the PC market, and their widespread popularity, is further testament to this fact. And as machines become more and more cache-reliant the same effects will be observed in main memory too—the only place that data or program code is manipulated uncompressed may soon be at the instant of use, and even in main memory blocks of information may be stored in a compact form. As a final example of the impact of compression techniques, consider the humble fax machine. Just one decade ago the fax was a technological marvel. Now it is as ordinary an item of office furniture as is a chair or filing cabinet. The two crucial factors that catapulted the fax machine into everyday use are that it sits on top of the telephone network (a technological marvel in itself), and that compression technology allows multi-page documents to be transmitted in minutes rather than hours. Indeed, one of the papers in this issue (that of Paul Howard) examines one proposal for the next generation of fax compression standards.
On the Size of Convex Hulls of Small Sets

We investigate two different notions of "size" which appear naturally in Statistical Learning Theory. We present quantitative estimates on the fat-shattering dimension and on the covering numbers of convex hulls of sets of functions, given the necessary data on the original sets. The proofs we present are relatively simple since they do not require extensive background in convex geometry.
Preliminary Evidence For Two Independent Learning Mechanisms Via Electrodermal Responses To Visual Stimuli

There is debate among learning theorists regarding the mechanisms underlying human associative learning. Some researchers argue a single-process drives human associative learning, a propositional model guided by higher-order reasoning. Other researchers argue for a dual-process model, in which two independent processes drive human associative learning, one propositional and sensitive to stimulus prediction, the other automatic and sensitive to stimulus pairing. The current study intended to collect evidence supporting either the single-process model or dual-process model. We tested if the single-process model made either correct or incorrect predictions in the Perruchet paradigm. The Perruchet paradigm induces a state of uncertainty regarding stimulus prediction, dissociating participants’ expectancy of an unconditioned stimulus (US) and physiological/ behavioral response to a conditioned stimulus (CS), which results in unexplainable predictions in the context of the single-process model. The adapted Perruchet paradigm for the current study predicted an opposite linear pattern between expectancy of the US and skin conductance response (SCR) to the CS as a function of sequential stimulus pairing. The results generally supported this hypothesis, expanding the Perruchet effect to a visual stimulus paradigm and to a phasic SCR analytic procedure previously unexamined in this experimental context.