Miracle-dz/UniFAR-FTUs huggingface dataset:
New Ramped-Square Sustain Waveform for Improving Luminance and Luminous Efficiency of an AC Surface-Discharge Plasma Display Panel

A new ramped-square sustain waveform is proposed to improve both the luminance and the luminous efficiency of an alternate current plasma display panel (ac PDP). The luminous characteristics such as the luminance and luminous efficiency have been measured with a square-voltage and a rampvoltage (or voltage slope) of the proposed sustain pulse. With an increase in the square-voltage of a ramped-square sustain waveform, the luminance increases but the luminous efficiency decreases. On the other hand, with an increase in the ramp-voltage of a ramped-square sustain waveform, both the luminance and the luminous efficiency increase. When compared with the conventional square sustain waveform, an improved luminance of 22% and luminous efficiency of 36% are simultaneously obtained based on the proper adjustment of the square-voltage and rampvoltage of the ramped-square sustain waveform in a 4-inch ac PDP test panel at a frequency of 62 kHz. key words: PDPs, ramped-square pulse, luminous eÆciency
The Survey Paper on Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse

: There are many available methods to integrate information source reliability in an uncertainty representation, but there are only a few works focusing on the problem of evaluating this reliability. However, data reliability and confidence are essential components of a data warehousing system, as they influence subsequent retrieval and analysis. In this paper, we propose a generic method to assess data reliability from a set of criteria using the theory of belief functions. Customizable criteria and insightful decisions are provided. The chosen illustrative example comes from real-world data issued from the Sym’Previus predictive microbiology oriented data warehouse.
Negative differential conductivity in Fermi liquid in the presence of magnetic field

In this paper we, study the response of a Fermi liquid under the influence of an external magnetic field applied to the external electric field. The dispersion law of the Fermi liquid is obtained via AdS/CFT correspondence. The regions of the negative differential conductivity on the current-voltage characteristic were observed. The possibility of terahertz pulse generation in such systems was shown for a wide range of magnetic field strengths.
Eskolaite associated with diamond from the Udachnaya kimberlite pipe, Yakutia, Russia

Abstract The mineral eskolaite (Cr2O3) has been discovered in association with natural diamond from the Udachnaya pipe in Yakutia, where it is intergrown with an octahedral diamond, mostly as an inclusion in the diamond, but also exposed at its surface. A detailed study was performed on fragments extracted from the outer surface of the diamond, using single-crystal X-ray diffraction (XRD), high-resolution electron microscopy (HRTEM), analytical electron microscopy (AEM), including line-scan and elemental-mapping, EMP, and SIMS. These applied techniques confirmed the nature of the eskolaite with 86.8 wt% Cr2O3 and notable impurities of TiO2 (3.99 wt%), Al2O3 (2.00 wt%), Fe2O3 (5.83 wt%), and MgO (1.11 wt%). Trace elements, including V (4900 ppm), Mn (129 ppm), Zr (56 ppm), and Nb (32 ppm) were also detected. The entire range of REE is just at or below the limits of detection. A small picrochromite inclusion (XMg 81.2; YCr 94.7) was detected in the eskolaite; its chemistry is typical of chromite diamond inclusions. It also contains minute inclusions of perovskite, corundum, and an unidentified Ti-phase. Nano-sized cavities in picrochromite were determined to consist of carbonate and quench products, including Si, Mg, Ca, P, K, and Cl. This may represent relics of the diamond-forming metasomatic fluids. The eskolaite, containing a picrochromite inclusion, was formed at high pressure within the diamond stability field from C-O-H-bearing fluids containing Ca, K, Cl, P, and possibly even peridotitic (U-type) oxides and silicates.
Hemispheric asymmetries and seasonality of mean age of air in the lower stratosphere: Deep versus shallow branch of the Brewer‐Dobson circulation

Based on multiannual simulations with the Chemical Lagrangian Model of the Stratosphere, (CLaMS) driven by ECMWF ERA‐Interim reanalysis, we discuss hemispheric asymmetries and the seasonality of the mean age of air (AoA) in the lower stratosphere. First, the planetary wave forcing of the Brewer‐Dobson circulation is quantified in terms of Eliassen Palm flux divergence calculated by using the isentropic coordinate θ. While the forcing of the deep branch at θ = 1000 K (around 10 hPa) has a clear maximum in each hemisphere during the respective winter, the shallow branch of the Brewer‐Dobson circulation, i.e., between 100 and 70 hPa (380 < θ < 420 K), shows almost opposite seasonality in both hemispheres with a pronounced minimum between June and September in the Southern Hemisphere. Second, we decompose the time‐tendency of AoA into the contributions of the residual circulation and of eddy mixing by analyzing the zonally averaged tracer continuity equation. In the tropical lower stratosphere between ±30°, the air becomes younger during boreal winter and older during boreal summer. During boreal winter, the decrease of AoA due to tropical upwelling outweighs aging by isentropic mixing. In contrast, weaker isentropic mixing outweighs an even weaker upwelling in boreal summer and fall making the air older during these seasons. Poleward of 60°, the deep branch locally increases AoA and eddy mixing locally decreases AoA with the strongest net decrease during spring. Eddy mixing in the Northern Hemisphere outweighs that in the Southern Hemisphere throughout the year.
Directional balancing for seismic and general wavefield interferometry

In passive seismic interferometry using naturally occurring, heterogeneous noise sources and in active-source seismic interferometry where sources can usually only be distributed densely on the exterior of solid bodies, bias can be introduced in Green’s function estimates when amplitudes of energy have directional variations. We have developed an algorithm to remove bias in Green’s function estimates constructed using seismic interferometry when amplitudes of energy used have uncontrollable directional variations. The new algorithm consists of two parts:1 a method to measure and adjust the amplitudes of physical, incoming energy using an array of receivers and 2 a method to predict and remove nonphysical energy that remains and can be accentuated in interferometrically derived Green’s functions after applying the method in step 1. To accomplish step 2, we have created two data-driven methods to predict the nonphysical energy using direct computation or move-out-based methods, and a way to suppress such energy usingin this case helical leastsquares filters. Two-dimensional acoustic scattering examples confirm the algorithm’s effectiveness.
Winning Faces Vary by Ideology: How Nonverbal Source Cues Influence Election and Communication Success in Politics

Not just the content of a communication but also the source of the communication shapes its persuasiveness. Recent research in political communication suggests that important source cues are nonverbal and relate to the physical traits of the source such that attractive- and competent-looking sources have better success in attracting votes and policy support. Yet, are all nonverbal source cues similarly received irrespective of audience, or does their reception vary across audiences? Specifically, we ask whether some physical traits are received positively by some audiences but backfire for others. Utilizing research on ideological stereotypes and the determinants of facial preferences, we focus on the relationship between the facial dominance of the source and the ideology of the receiver. Across five studies, we demonstrate that a dominant face is a winning face when the audience is conservative but backfires and decreases success when the audience is liberal. On the other hand, a non-dominant face constitutes a winning face among liberal audiences but backfires among conservatives. These effects seemingly stem from deep-seated psychological responses and shape both the election and communication success of real-world politicians. If the faces of politicians do not match the ideology of their constituency, they are more likely to lose in the competition for votes and policy support.
Towards an improved understanding of knowledge dynamics in integrated coastal zone management: A knowledge systems framework

Integrated coastal zone management (ICZM) is a complex undertaking that draws on a range of biophysical and social science disciplines, and involves a wide range of stakeholders operating through multiple processes, and crossing various levels. Conceptually, this means that ICZM represents a significant challenge in terms of improving the way in which different disciplinary 'knowledges' and different forms of knowledge (scientific, managerial, lay, and indigenous) inform decision making. Depending upon the circumstances, ICZM may be constrained by different knowledge deficits , including: uncertainty; science - policy gaps; and the 'filtering' of particular forms of knowledge relative to others. As a means for making sense of these knowledge dynamics, this paper considers the concept of knowledge systems and its potential for improving understanding of coastal management processes. The potential insights that can be gained from four analytical approaches (stakeholder, institutional, network, and discourse analysis) are then discussed, and used to develop an analytical framework for investigating coastal knowledge dynamics, which is based upon a generic coastal knowledge system and associated research questions. Finally, the utility of this framework is illustrated using a case study that examines the knowledge dynamics associated with debates about the establishment of marine protected areas in Victoria, Australia.
Image Classification by Spatial Pooling of Surf Kalpana

Today, there are many multimedia applications based on image understanding and processing, such as image retrieval, image classification, scene understanding, and so on. In image classification tasks, one of the most successful algorithms is the Bag-of-Features(BOF) model. Although the BOF model has many advantages, such as simplicity, generality, and scalability, it still suffers from several drawbacks, including the limited semantic description of local descriptors, lack of robust structures upon single visual words, and missing of efficient spatial weighting. To address these problems, the traditional BOF model is expanded on three aspects. First, a new scheme for combining texture and edge-based local features together at the descriptor extraction level. Next, to build geometric visual phrases to model spatial context upon complementary features for midlevel image representation. Finally, based on a smoothed edge map, a simple and effective spatial weighting scheme is performed to count occurrences of gradient orientation in localized portions of an image. Then test the framework by comparing the image with Fused Descriptors, which has the combination of SIFT, Edge-SIFT and Histogram of Oriented Gradient (HOG) descriptors for image classification and retrieval.
A DC/DC Converter for Clean-Energy Applications

Fossil fuels are depleting day by day, therefore it is imperative to find out alternative methods in order to fulfill the energy demand of the world. Renewable energy is becoming more important nowadays. There exist applications of renewable energy which employ hundred of MW (high power) and there are also those which uses hundred of W (low power). Applications can also be classified depending if they are connected to the grid or not, as well known as cogeneration and stand alone systems. This last one is a low power application, specially employed in remote places, where electricity is not available. Usually photovoltaic and wind systems are the source of energy in stand alone systems. Efficient use of energy is very important, since there is no utility line; a battery set becomes essential because energy power is provided in an irregular way from the renewable source; leaving aside this issue a power conversion stage is required in order to make sure a good output power quality. The operation of a dc/dc converter applicable in stand alone systems is discussed in this chapter, which is for using clean energy as it could be a photovoltaic panel or a wind turbine. The system optimizes delivered energy in a smart way, but assuring its availability in the best possible way. Chapter is organized as follows: stand alone systems are described first, later on some converters reported in literature are discussed, and finally operation, energy administration and results of a dc/dc converter for clean-energy applications are presented.
Effects of a Bioactive Scaffold Containing a Sustained TGF-Î˛1-releasing Nanoparticle System on the Migration and Differentiation of Stem Cells from the Apical Papilla

The study aimed to develop and characterize a novel chitosan-based scaffold (CMCS) containing TGF-β1-releasing chitosan nanoparticles (TGF-β1-CSnp) to enhance migration and differentiation of SCAP. Part I concerned synthesis and characterization of the scaffold (CMCS) and TGF-β1-CSnp. Part II examined the effect of sustained TGF-β1 release from scaffold containing TGF-β1-CSnp on odontogenic differentiation of SCAP. The scaffold demonstrated properties conducive to cellular activities. Incorporation of TGF-β1 in CSnp allowed sustained release of TGF-β1 facilitating delivery of a critical concentration of TGF-β1 at the opportune time. SCAP showed greater viability, migration and biomineralization in the presence of TGFβ1-CSnp than in the presence of Free TGF-β1. SCAP cultured in TGF-β1-CSnp + scaffold showed significantly higher dentin matrix protein (DMP)-1 and dentin sialophosphoprotein (DSPP) signals compared to Free TGF-β1 + scaffold or CSnp + scaffold. These experiments highlighted the potential of a CMCS based scaffold with growth factor releasing nanoparticles to promote migration and differentiation of SCAP.
Association of Non-Suicidal Self-Injury and Suicide Attempts in Psychiatric Inpatients with High Suicidal Risk

Non-suicidal self–injury (NSSI), suicide ideation, and attempted suicide are closely linked to psychiatric disorders. However, there is paucity of literature about the relationship between NSSI and suicide attempts among psychiatric patients with high suicidal risk. This study examines the relationship between NSSI and suicide attempts in psychiatric inpatients with high suicidal risk. Towards this, 120 consecutive psychiatric patients with high suicidal risk, aged 17-60, were systematically evaluated for depression severity, hopelessness, suicide ideations, suicide intent, and past attempts (both suicidal and NSSI) by using valid tools. Lifetime history of suicide attempts and NSSI was found to be 96.7% (116/120), and 36.7% (44/120), respectively. The number of lifetime suicide attempts ranged from 0 to 6 (M = 2.26, SD = 1.226), and frequency of NSSI ranged from 0 to 3 (M = 0.48, SD = 0.745). In patients with or without NSSI, there were no significant differences in depression severity, hopelessness, and suicide intent. However, the frequency of NSSI was positively correlated with the number of suicide attempts (r = 0.318, p < .05) independent of depression severity, hopelessness, and suicidal intent. To, conclude, NSSI frequency appears to be an independent factor for increased suicide risk among psychiatric patients given that it has a positive association with the number of suicide attempts.
Cogging torque minimization technique for multiple-rotor, axial-flux, surface-mounted-PM motors: alternating magnet pole-arcs in facing rotors

A variety of techniques exist for reducing the cogging torque of conventional radial flux PM machines. Even though some of these techniques can be applied to axial flux machines, manufacturing cost is especially high due to the unique construction of the axial flux machine stator. Consequently, new low cost techniques are desirable for use with axial flux PM machines. This paper introduces a new cogging torque minimization technique for axial flux multiple rotor surface magnet PM motors. First, basic principles of the new technique are explored in this paper. A 3-kW, 8-pole axial flux surface-magnet disc type machine with double-rotor-single-stator is then designed and optimized in order to apply the proposed new method. Optimization of the adjacent magnet pole-arc which results in minimum cogging torque as well as assessment of the effect on the maximum available torque using 3D finite element analysis (FEA) is investigated. The minimized cogging torque is compared with several existing actual machine data and some important conclusions are drawn.
Temperature and emissivity measurements with the Multispectral Thermal Imager satellite at Ivanpah Playa

The Multispectral Thermal Imager (MTI) is a research and development satellite sponsored by the Department of Energy (DOE) for accurate water surace temperature retrieval. MTI uses five thermal spectral bands to retrieve ground temperatures. The application of MTI for land-based temperature and emissivity retrieval has been limited. Savannah River Technology Center conducted several ground truth campaigns at Ivanpah Playa to measure reflectance, temperature and emissivity. The results of MTI temperature and emissivity retrievals and material identification will be discussed in context with the ground truth data.
An Information-Based Approach to Consciousness: Mental State Decoding

The debate on the neural correlates of visual consciousness often focuses on the question of which additional processing has to happen for a visual representation to enter consciousness. However, a related question that has only rarely been addressed is which brain regions directly encode specific contents of consciousness. The search for these core neural correlates of contents of consciousness (NCCCs) requires establishing a mapping between sensory experiences and population measures of brain activity in specific brain regions. One approach for establishing this mapping is multivariate decoding. Using this technique, several properties of NCCCs have been investigated. Masking studies have revealed that information about sensory stimuli can be decoded from the primary visual cortex, even if the stimuli cannot be consciously identified by a subject. This suggests that information that does not reach awareness can be encapsulated in early visual stages of processing. Visual imagery representations and veridical perception share similar neural representations in higher-level visual regions, suggesting that these regions are directly related to the encoding of conscious visual experience. But population signals in these higher-level visual regions cannot be the sole carriers of visual experiences because they are invariant to low-level visual features. We found no evidence for increased encoding of sensory information in the prefrontal cortex when a stimulus reaches awareness. In general, we found no role of the prefrontal cortex in encoding sensory experiences at all. However, the improved discrimination of sensory information during perceptual learning could be explained by an improved read-out by the prefrontal cortex. One possible implication is that prefrontal cortical regions do not participate in the encoding of sensory features per se. Instead they may be relevant in making decisions about sensory features, without exhibiting a re-representation of sensory information.
State-ofthe-Art Image Motion Deblurring Technique

In this paper, image motion deblurring technique is widely surveyed and discussed. We compare and comtrast some of the most recent literature in this field by introducing both their methodolgy and approach and their deblurring result of synthetic and real image. Throughout the analysis, we bring out some state-of-the-art approach and further discuss possible future work and direction.
Ecology and biogeography in 3D: The case of the Australian Proteaceae

The key biophysical pressures shaping the ecology and evolution of species can be broadly aggregated into three dimensions: environmental conditions, disturbance regimes and biotic interactions. The relative importance of each dimension varies over time and space, and in most cases multiple dimensions need to be addressed to adequately understand the habitat and functional traits of species at broad spatial and phylogenetic scales. However, it is currently common to consider only one or two selective pressures even when studying large clades. We illustrate the importance of the all‐inclusive multidimensional approach with reference to the large and iconic plant family, Proteaceae: we review life‐history traits related to these three dimensions for the 46 genera occurring in Australia and show that this family can be considered the product of a long history of harsh environments, recurrent fires and strong faunal interactions. Because most Proteaceae species occur in fire‐prone ecosystems and possess fire‐adaptive traits that are both ancient and essential for their survival, disturbance by fire is likely to explain much of this family's ecology, evolution and distribution. Approaches that only examine prevailing environmental variables may fail to identify the mechanisms that drive a taxon's biogeography; they need to consider the likely mechanisms of adaptation and accept or reject plausible alternative hypotheses as the evidence allows. As multidisciplinary teams that consider all aspects of a taxon's ecology are assembled, and databases and numerical tools become increasingly available, studies on the ecology, biogeography and diversity of organisms at broader spatial and phylogenetic scales will arrive at more realistic conclusions.
THE EFFECTS OF THE TRANSCENDENTAL MEDITATION TECHNIQUE UPON ADOLESCENT PERSONALITY

The Sixteen Personality Factor Questionnaire (16 PF, Forms A & C), the Personal Orientation Inventory (POI), the State-Trait Anxiety Inventory (STAI), and a "Questionnaire" on health and drug usage, were given simultaneously to an experimental group (N =30), and a control group (N = 16), before and three to four months after the experimental group started the Transcendental Meditation (TM) technique. The experimental group changed significantly (p <.OJ, p < .05) on 10 of the 16 factors on the 16 PF, on 8 of the 12 scales on the POI, and on both the Trait and the State scales of the STAI. No significant changes were found for the control group. The results indicate improved psychological adjustment ( 16 PF), increased self-actualization (POI), decreased anxiety (STAI), and improved physical health with a significant decrease in prescribed and nonprescribed drug usage.
Comparing the Employment-Output Elasticities of Expatriates and Nationals in the Gulf Cooperation Council

We estimate the elasticity of private-sector employment to non-oil GDP in the Gulf Cooperation Council (GCC) for GCC nationals and expatriates using a Seemingly Unrelated Error Correction (SUREC) model. Our results indicate that the employment response is lower for nationals, who have an estimated short-run elasticity of only 0.15 and a long-run response of 0.7 or less. The elasticity is almost unity for expatriates in the long run and 0.35 in the short run. We interpret low elasticities as indirect evidence of labor market adjustment costs, which could include hiring and firing rigidities, skills mismatches, and reluctance to accept private sector jobs. Forecasts suggest that, absent measures to reduce adjustment costs, the private sector will only be able to absorb a small portion of nationals entering the labor force.