Miracle-dz/UniFAR-FTUs huggingface dataset:
High Infrared Photoconductivity in Films of Arsenic-Sulfide-Encapsulated Lead-Sulfide Nanocrystals

Highly photoconductive thin films of inorganic-capped PbS nanocrystal quantum dots (QDs) are reported. Stable colloidal dispersions of (NH4)3AsS3-capped PbS QDs were processed by a conventional dip-coating technique into a thin homogeneous film of electronically coupled PbS QDs. Upon drying at 130 °C, (NH4)3AsS3 capping ligands were converted into a thin layer of As2S3, acting as an infrared-transparent semiconducting glue. Photodetectors obtained by depositing such films onto glass substrates with interdigitate electrode structures feature extremely high light responsivity and detectivity with values of more than 200 A/W and 1.2 × 1013 Jones, respectively, at infrared wavelengths up to 1400 nm. Importantly, these devices were fabricated and tested under ambient atmosphere. Using a set of time-resolved optoelectronic experiments, the important role played by the carrier trap states, presumably localized on the arsenic-sulfide surface coating, has been elucidated. Foremost, these traps enable a very high photoconductive gain of at least 200. The trap state density as a function of energy has been plotted from the frequency dependence of the photoinduced absorption (PIA), whereas the distribution of lifetimes of these traps was recovered from PIA and photoconductivity (PC) phase spectra. These trap states also have an important impact on carrier dynamics, which led us to propose a kinetic model for trap state filling that consistently describes the experimental photoconductivity transients at various intensities of excitation light. This model also provides realistic values for the photoconductive gain and thus may serve as a useful tool to describe photoconductivity in nanocrystal-based solids.
Corporate Reporting of Cross-Sector Alliances: The Portfolio of NGO Partners Communicated on Corporate Websites

Nongovernmental organization (NGO)–corporate alliances are a strategic type of institutional positioning communication. From a sample of 155 US Fortune 500 corporations and 695 NGOs drawn from corporations' websites, this research examines: (a) the number of NGOs with which corporations communicate alliances; (b) the patterns of communicated alliances that exist between corporations in economic industries and NGOs in social issue industries; and (c) the relationship between corporate stakeholders and the communication of alliances with NGOs in particular social issues. This research tests the propositions of Symbiotic Sustainability Model concerning the number and type of NGO alliances likely to be communicated by corporations. In particular, this research demonstrates that most corporations only communicate alliances with a few NGOs and with one NGO in an issue industry. In addition, the results suggest that corporations in the same economic industry are likely to communicate alliances with different NGOs in the same issue industries. In combination, these findings imply that a small set of social issues are likely to be included in NGO–corporate communication. Exploring this implication, this research reports preliminary findings about communicated alliances between corporations in 11 economic industries and NGOs in 59 social issue industries.
Spatio-Temporal Patterns of Dengue Fever in Cali, Colombia

Dengue fever is an arboviral disease typical of the tropics that can be life-threatening and if not controlled properly may result in an epidemic. The absence of an effective vaccine makes strategies to prevent the virus transmission the most effective means of control. The planning of such strategies, however, is difficult due to the constant movement of individuals and mosquito host (Aedes aegypti). In this paper, the spatial and temporal relations that might exist between infected individuals during a dengue-epidemic year are explored. This research is motivated in that a deep understanding of potential transmission patterns between individuals might lead to a better design and planning of control strategies. A GIS-based Health Exploratory AnaLysis Tool (HELP) is used to compute space-time relationships by means of spatial K-function, kernel density, space-time K-function and linking pairs of cases within significant time and space intervals. Significant clustering was observed at a scale of 50 meters and 750 meters, respectively while temporal significance was determined at two days and five to eight days. While an increase of cases occurs in the months following severe droughts due to an El NiA±o phenomenon, the location of clusters remains relatively stable. These are observed near areas where potential habitats for the mosquito exist such as storm drains, hard surfaces where water accumulates (e.g., vases, containers), but also in poorer neighborhoods. The results from the spatial analysis provide valuable information for health care managers to take preventive actions at the municipality level.
Development and Initial Validation of a Measure of Religious Maturity

Gordon Allport's (1 950) conceptualization of the mature religious sentiment contin- ues to have a tremendous impact on theory and research in the psychology of religion. Unfortunately, there does not appear to be a co~nprehensive and valid measure of reli- gious maturity derived explicitly from Allport's theory. To that end, two studies are reported documenting the develop~nent and initial validation of a new scale to mea- sure religious maturity based on Allport's theorking. Content validity is an often ig- nored but crucial step in the construct validation process. With this concern in mind, the content validity of the new scale was established prior to its use in Study 1. Next, Study 1 investigated the empirical validity of the new scale using a known-groups tnethodology, and subsequent analysis resulted in the develop~nent of arevised scale. Study 2 used a different population of participants as well as a different method of scale validation. The revised scale was used in Study 2, and it was found to.
L1 transfer revisited: the L2 acquisition of telicity marking in English by Spanish and Bulgarian native speakers

This paper investigates the claim that the native grammar of the learners is the initial state of second-language acquisition, as far as the acquisition of universal grammar parameters is concerned. Two opposing views on L1 transfer are discussed: the first hypothesis maintains that learners start out with the L1 parameter value (Schwartz and Sprouse's 1994, 1996 full-transfer/full-access hypothesis), while the second hypothesis argues that L1 transfer plays a minimal role in the acquisition process (Epstein et al. 1996's no-transfer/full-access hypothesis). The parameter under investigation is the aspect parameter, postulating two different ways in which languages mark telicity in the verbal phrase. In order to distinguish between the two views of transfer with experimental means, the study examines the competence of two groups of low-intermediate learners of English, native speakers of Spanish, a language sharing the same parameter value with English, and of Bulgarian, a language exhibiting the opposite parametric value. Results indicate that the differences in the performance of learners from the two language groups are directly traceable to their native language. Thus the full-transfer/full-access hypothesis receives experimental support.
Common Sense Representations of Common Illnesses

Evidence is provided that common sense representations of common illnesses involve five components: (1) a label; (2) consequences; (3) a time line; (4) a cause; and (5) a cure. The last two components, attributions for getting sick and for getting better, can be conceptualized along the familiar dimensions of stability, locus, and controllability. The content of schemas for one's most recent illness are shown to have small but significant effects on changes in health locus of control beliefs but not on preventive health behaviors. It is suggested that if people consistently employ the same schemas for every disease they experience, then cumulatively schematic processing could have very large effects on health beliefs and health behaviors. It is further suggested that if the same illness schemas are employed when major diseases are encountered, then schemas based on the experience of minor illnesses could have dramatic and much more immediate effects on morbidity and mortality. The germ model of disease suggests that people get sick when an external, organic agent (a germ) somehow invades the body. When people are sick, they experience unpleasant symptoms, which motivates them to visit a physician. The physician cures the disease by killing the germs, often with the purposive introduction of another external organic agent, a drug or medicine. However, health researchers have long known that this simple germ model of disease is not a very satisfactory representation of the disease experience for many of us. People's subjective experience with any given disease varies a great deal more than is suggested by the simple determinacy of the germ model. For example, people differ in how frequently they complain about different symptoms (Desroches, Kaiman, & Ballard, 1967; Suchman, 1965; Zborowski, 1952; Zola, 1966) and in their propensity to
A Quantitative Theory of Human Color Choices

The system for colorimetry adopted by the Commission Internationale de l’Eclairage (CIE) in 1931, along with its subsequent improvements, represents a family of light mixture models that has served well for many decades for stimulus specification and reproduction when highly controlled color standards are important. Still, with regard to color appearance many perceptual and cognitive factors are known to contribute to color similarity, and, in general, to all cognitive judgments of color. Using experimentally obtained odd-one-out triad similarity judgments from 52 observers, we demonstrate that CIE-based models can explain a good portion (but not all) of the color similarity data. Color difference quantified by CIELAB ΔE explained behavior at levels of 81% (across all colors), 79% (across red colors), and 66% (across blue colors). We show that the unexplained variation cannot be ascribed to inter- or intra-individual variations among the observers, and points to the presence of additional factors shared by the majority of responders. Based on this, we create a quantitative model of a lexicographic semiorder type, which shows how different perceptual and cognitive influences can trade-off when making color similarity judgments. We show that by incorporating additional influences related to categorical and lightness and saturation factors, the model explains more of the triad similarity behavior, namely, 91% (all colors), 90% (reds), and 87% (blues). We conclude that distance in a CIE model is but the first of several layers in a hierarchy of higher-order cognitive influences that shape color triad choices. We further discuss additional mitigating influences outside the scope of CIE modeling, which can be incorporated in this framework, including well-known influences from language, stimulus set effects, and color preference bias. We also discuss universal and cultural aspects of the model as well as non-uniformity of the color space with respect to different cultural biases.
An Exploration of the Relationships between Mentor Recruitment, the Implementation of Mentoring, and Mentors’ Attitudes

Mentoring of new teachers is generally examined from the viewpoint of the mentees. In the present study, mentoring is explored based on reports from mentors within the context of the Israeli induction program. Recruitment variables (selection and training) were examined in relation to mentoring implementation (frequency, initiation, regularity, and content), and mentors’ perceptions and attitudes (towards matching, role conflict, and the mentoring experience). The relationships of gender and school level to implementation and attitudes were also examined. Data were collected by a questionnaire from a national sample of 118 mentors and through in-depth interviews with 14 mentors. Findings indicate that mentor selection, training, gender, and school level can have important implications for how mentors function and how they perceive mentoring.
Predicting Achievement Goals in Two Different Academic Contexts: A longitudinal study

The relative contribution is examined of epistemological beliefs and implicit theories of intelligence to students' adoption of mastery, performance‐approach and performance‐avoidance goals in two different academic contexts, business administration and teacher education, in the short as well as the long term. The results showed that epistemological beliefs about the speed of knowledge acquisition predicted achievement goals. Students who believed that learning occurs quickly or not at all were less likely to adopt mastery goals and more likely to adopt performance‐avoidance goals. In addition, students who believed in stable and given knowledge were less likely to adopt mastery goals. Differences in predictive patterns across the two contexts concerned the prediction of performance‐approach goals and gender differences in goal adoption. Epistemological beliefs played a more important role in goal adoption than implicit theories of intelligence.
Detection object of life review therapy for automatic record generating

The authors have researched a support system of the reminiscence and life review activity. In this life review therapy, it is important to review the sessions after the activity for an effective therapy. Therefore therapists must keep a record of sessions for inspection of methods and ways of valuation on reminiscence and life review therapy, but it is trouble for the therapists to record. To overcome this problem, we have developed an automatic generating system of reports about life review activities. In this paper, we describe the support system which can automatically write down a session report about the activity.
A low power turbo/Viterbi decoder for 3GPP2 applications

This paper presents a channel decoder that completes both turbo and Viterbi decodings, which are pervasive in many wireless communication systems, especially those that require very low signal-to-noise ratios. The trellis decoding algorithm merges them with less redundancy. However, the implementation is still challenging due to the power consumption in wearable devices. This research investigates an optimized memory scheme and rescheduled data flow to reduce power consumption and chip area. The memory access is reduced by buffering the input symbols, and the area is reduced by reducing the embedded interleaver memory. A test chip is fabricated in a 1.8 V 0.18-/spl mu/m standard CMOS technology and verified to provide 4.25-Mb/s turbo decoding and 5.26-Mb/s Viterbi decoding. The measured power dissipation is 83 mW, while decoding a 3.1 Mb/s turbo encoded data stream with six iterations for each block. The power consumption in Viterbi decoding is 25.1 mW in the 1-Mb/s data rate. The measurement shows the power dissipation is 83 mW for the turbo decoding with six iterations at 3.1 Mb/s, and 25.1 mW for the Viterbi decoding at 1 Mb/s.
Tool support for generation and validation of traces between requirements and architecture

Traceability is considered crucial for establishing and maintaining consistency between software development artifacts. Although considerable research has been devoted to relating requirements and design artifacts with source code, less attention has been paid to relating requirements with architecture by using well-defined semantics of traces. We present a tool that provides trace establishment by using semantics of traces between R&A (Requirements and Architecture). The tool provides the following: (1) generation/validation of traces by using requirements relations and/or verification of architecture, (2) generation/validation of requirements relations by using traces. The tool uses the semantics of traces together with requirements relations and verification results for generating and validating traces. It is based on model transformations in ATL and term-rewriting logic in Maude.
Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon

A ceramic green arc tube for a metal vapor discharge lamp wherein an outer diameter of the arc discharging portion is larger than that of the end portions holding the discharging electrodes is produced by preparing a stiff plastic body consisting mainly of a ceramic material or which main component is alumina, and a binder of which main component is thermal geltinizing organic substance; forming the prepared body into a straight tubular body by means of an extruder; placing the tubular body into an inner cavity of molding die having the above described ceramic arc tube shape wherein the molding die has been previously heated; closing one end portion of the tubular body; applying a compressed fluid from another opened end portion of the tubular body into the inside of said tubular body to inflate the central portion of tubular body until contacting to the inner cavity surface of the molding die,; hardening and drying the inflated body with the heat of previously heated molding die; and ejecting the dried body from the die. This production is characterized in that the forming is effected by using a die comprising two halves of die divided by a plane parallel to an axial direction of the tube, said two halves forming an inner circumferential cavity conforming to the shape of the tube when the two halves are engaged, vents provided at the cavity portion and perforating from the inner surface of the cavity to the outside, and heating means.
Multi-view clustering using mixture models in subspace projections

Detecting multiple clustering solutions is an emerging research field. While data is often multi-faceted in its very nature, traditional clustering methods are restricted to find just a single grouping. To overcome this limitation, methods aiming at the detection of alternative and multiple clustering solutions have been proposed. In this work, we present a Bayesian framework to tackle the problem of multi-view clustering. We provide multiple generalizations of the data by using multiple mixture models. Each mixture describes a specific view on the data by using a mixture of Beta distributions in subspace projections. Since a mixture summarizes the clusters located in similar subspace projections, each view highlights specific aspects of the data. In addition, our model handles overlapping views, where the mixture components compete against each other in the data generation process. For efficiently learning the distributions, we propose the algorithm MVGen that exploits the ICM principle and uses Bayesian model selection to trade-off the cluster model's complexity against its goodness of fit. With experiments on various real-world data sets, we demonstrate the high potential of MVGen to detect multiple, overlapping clustering views in subspace projections of the data.
TelOpTrak: Heuristics-enhanced Indoor Location Tracking for Tele-operated Robots

With most tele-operated robots the operator's only feedback is the view from an onboard camera. Live video lets the operator observe the robot's immediate surroundings but does not establish the orientation or whereabouts of the robot in its environment. An additional plot of the robot's trajectory would be helpful for the operator and is sometimes provided, based on GPS. However, indoors where GPS is unavailable, tracking has to rely on dead-reckoning, which is too inaccurate to be useful. Our proposed TelOpTrak method corrects dead-reckoning errors even when only odometry and a low-cost (and thus, high-drift) MEMS-class gyro are available on the robot. TelOpTrak corrects gyro drift by exploiting the structured nature of most buildings, but without having to directly sense building features. This paper explains the TelOpTrak method and provides comprehensive experimental results. Earlier versions of this paper (Borenstein et al., 2010a ), (Borenstein et al., 2010b ) were presented at two conferences. The main difference between the earlier conference papers and the present manuscript is that the latter is more comprehensive, more up-to-date, and it presents an entirely new set of experimental results, including results of a live demonstration at the 2010 Robotics Rodeo event at Ft. Benning, USA.
Fairness considerations in full-duplex MIMO interference channels

In this paper, we address the proportional fair (PF) issue of a K link full-duplex (FD) multiple-input multiple-output (MIMO) interference channel, where each link consists of two FD nodes exchanging information simultaneously. The nodes in each pair suffer from self-interference due to operating in FD mode, and inter-user interference from the nodes in other links due to simultaneous transmission from each link. The PF issue is important for networks with asymmetric topology and/or asymmetric traffic demands. We demonstrate that the proposed algorithm provides a good trade-off between sum achievable rate and rate distribution for asymmetric links, and moreover we show that the sum-rate achieved by FD mode is higher than the sum-rate achieved by baseline half-duplex (HD) schemes.
Aurora kinase-induced phosphorylation excludes transcription factor RUNX from the chromatin to facilitate proper mitotic progression

Significance The Runt-related transcription factors (RUNX) are critical regulators of development. Mutation or dysregulation of RUNX genes have been associated with diverse cancer types. Phosphorylation of the strictly conserved threonine 173 (T173) residue within the Runt domain of RUNX3 disrupts DNA binding activity, which facilitates the recruitment of RUNX proteins to mitotic structures. Moreover, RUNX3 deficiency is associated with delayed mitotic entry. The tight conservation of T173 and its flanking residues from unicellular organism to human, and the fact that mitosis is indispensable to all metazoans, strongly indicate that T173 phosphorylation is fundamental to the role of RUNX in these divergent organisms. Cancer-associated mutation T173I further corroborates the critical role of RUNX phosphorylation in mitosis. The Runt-related transcription factors (RUNX) are master regulators of development and major players in tumorigenesis. Interestingly, unlike most transcription factors, RUNX proteins are detected on the mitotic chromatin and apparatus, suggesting that they are functionally active in mitosis. Here, we identify key sites of RUNX phosphorylation in mitosis. We show that the phosphorylation of threonine 173 (T173) residue within the Runt domain of RUNX3 disrupts RUNX DNA binding activity during mitotic entry to facilitate the recruitment of RUNX proteins to mitotic structures. Moreover, knockdown of RUNX3 delays mitotic entry. RUNX3 phosphorylation is therefore a regulatory mechanism for mitotic entry. Cancer-associated mutations of RUNX3 T173 and its equivalent in RUNX1 further corroborate the role of RUNX phosphorylation in regulating proper mitotic progression and genomic integrity.