Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of an adaptive thinking training methodology on critical thinking disposition using human patient simulators: A catalyst for preparing advanced nursing students

EFFECT OF AN ADAPTIVE THINKING TRAINING METHODOLOGY ON CRITICAL THINKING DISPOSITION USING HUMAN PATIENT SIMULATORS: A CATALYST FOR PREPARING ADVANCED NURSING STUDENTS Robert Joseph Fitkin Jr. Old Dominion University, 2015 Director: Dr. Richard Overbaugh Critical thinking decision making is the foundation for effective, safe, nursing practice. Nurses have to assess patient issues rapidly regardless of whether it is emotional, psychological, or physical, and then sort through “rapid fire” questions resulting in invisible sorting, discerning, and drawing of conclusions. Doing this “invisible sorting” well requires practice. Nursing education provides practice through preceptors or scenarios-driven human patient simulators to practice critical thinking. This study examines Adaptive Thinking Training Methodology with simulation exercises as a possible catalyst for growth in critical thinking disposition, and help in addressing the preparation-practice gap for novice nurses. A class of advanced nursing students entered three simulations to develop critical thinking through scenario-based learning. The first simulation had no adaptive thinking intervention. During the second simulation, only one adaptive thinking intervention occurred. The final simulation had two adaptive thinking interventions. Interventions occurred at the point in which an appropriate critical thinking decision points were appropriate for practice. The three interventions defined for simulations two and three used an Applied Cognitive Task Analysis methodology for the development of cues. The aim of this research was to accelerate growth in critical thinking disposition for professional caregivers to move further toward expertise in a shorter period. A Repeated Measures (RM) Analysis of One Way Variance (ANOVA) was used to determine effectiveness of treatment.
Topic Modeling for the Social Sciences

As textual datasets grow in size and scope, social scientists need better tools to help make sense of that data. Despite the natural applicability of topic modeling to many such problems, word counts and tag clouds are often used as the primary means of gleaning information from textual data. We characterize two barriers to adoption encountered during a collaboration between the Stanford NLP group and social scientists in the school of education: accessibility and trust. Accessibility refers to the technical barriers that make text processing and topic modeling difficult. Trust comes when practitioners can explore and validate a model being used to discover or support a hypothesis. We introduce recent work aimed at solving these challenges including the Stanford Topic Modeling Toolbox software.
Listening for the Echoes: Radical Listening as Educator-Activist Praxis

Using a postformal approach to co/autoethnography, the authors examine narrative reflections of their own teaching practice to draw forth implications for radical listening as educator-activist praxis. By using the controlling metaphor of noise, the authors illuminate the challenges of listening radically amidst the “white noise” of hegemony. The authors demonstrate radical listening as echoes of an imperfect praxis of being and becoming that must be revisited repeatedly over time.
Melanoma s Exhibit Antitumor Activity against B 16 λ System : IFN-Ligand-Receptor λ Characterization of the Mouse IFN-Updated

Recently discovered type III IFNs (IFN-L) exert their antiviral and immunomodulatory activities through a unique receptor complex composed of IFN-LR1 and interleukin-10 receptor 2. To further study type III IFNs, we cloned and characterized mouse IFN-L ligand-receptor system. We showed that, similar to their human orthologues, mIFN-L2 and mIFN-L3 signal through the IFN-L receptor complex, activate IFN stimulated gene factor 3, and are capable of inducing antiviral protection and MHC class I antigen expression in several cell types including B16 melanoma cells. We then used the murine B16 melanoma model to investigate the potential antitumor activities of IFN-Ls. We developed B16 cells constitutively expressing murine IFN-L2 (B16.IFN-L2 cells) and evaluated their tumorigenicity in syngeneic C57BL/6 mice. Although constitutive expression of mIFN-L2 in melanoma cells did not affect their proliferation in vitro , the growth of B16.IFN-L2 cells, when injected s.c. into mice, was either retarded or completely prevented. We found that rejection of the modified tumor cells correlated with their level of IFN-L2 expression. We then developed IFN-L-resistant B16.IFN-L2 cells (B16.IFNL2Res cells) and showed that their tumorigenicity was also highly impaired or completely abolished similar to B16.IFN-L2 cells, suggesting that IFN-Ls engage host mechanisms to inhibit melanoma growth. These in vivo experiments show the antitumor activities of IFN-Ls and suggest their strong therapeutic potential. (Cancer Res 2006; 66(8): 4468-77)
1 Modified Quantized input Variable Step Size LMS , QX-VSS LMS Algorithm Applied to Signal Prediction

Several modified LMS algorithms are studied in order to improve the rate of convergence, increase the tracking performance and reduce the computational cost of the regular LMS algorithm. These methods can be divided in two categories: Clipped data algorithms and variable step size algorithms. In this paper a new quantized input variable step size LMS algorithm is introduced. The proposed algorithm is a modification of an existing method, namely, VSS LMS, and uses a new quantization function for clipping the input signal. We showed mathematically the convergence of the QX-VSS LMS filter weights to the optimum Wiener filter weights. Also, we proved that the proposed algorithm has better tracking than the conventional LMS algorithm. We discuss the conditions which one have to consider so that he can get better performance of QX-VSS LMS algorithm. The results of simulations confirm the presented mathematical analysis. Index Terms — Least mean square(LMS), Variable step size LMS, Weiner weights, Tracking.
Analyzing Data Relevance and Access Patterns of Live Production Database Systems

Access to real-world database systems and their workloads is an invaluable source of information for database researchers. However, usually such full access is not possible due to tracing overheads, data protection, or legal reasons. In this paper, we present a tool set to analyze and compare synthetic and real-world database workloads, their characteristics, and access patterns. This tool set processes SQL workload traces and collects fine-grained access information without requiring direct read access to the production system. To gain insights into large real-world systems, we traced a live production enterprise system of a Global 2000 company and compare it with the synthetic benchmarks TPC-C and TPC-E.
IntelligentWeb Agent for Search Engines

In this paper we review studies of the growth of the Internet and technologies that are useful for information search and retrieval on the Web. Search engines are retrieve the efficient information. We collected data on the Internet from several different sources, e.g., current as well as projected number of users, hosts, and Web sites. The trends cited by the sources are consistent and point to exponential growth in the past and in the coming decade. Hence it is not surprising that about 85% of Internet users surveyed claim using search engines and search services to find specific information and users are not satisfied with the performance of the current generation of search engines; the slow retrieval speed, communication delays, and poor quality of retrieved results. Web agents, programs acting autonomously on some task, are already present in the form of spiders, crawler, and robots. Agents offer substantial benefits and hazards, and because of this, their development must involve attention to technical details. This paper illustrates the different types of agents,crawlers, robots,etc for mining the contents of web in a methodical, automated manner, also discusses the use of crawler to gather specific types of information from Web pages, such as harvesting e-mail addresses
Workplace spirituality and employee well-being: an empirical examination

Purpose The existing literature suggests that employee well-being is an important concern for organizations. The purpose of this paper is to carry out an empirical examination to assess whether employee experience of workplace spirituality has positive relationships with multiple forms of employee well-being. Design/methodology/approach This paper focussed on four forms of employee well-being, namely: emotional well-being, psychological well-being, social well-being, and spiritual well-being. It specified and empirically tested, using a survey design, four hypotheses, each proposing a positive relationship between workplace spirituality and one of the four forms of employee well-being. Findings All four hypotheses were supported indicating that workplace spirituality has a positive relationship with emotional, psychological, social, and spiritual well-being. Research limitations/implications This paper may encourage future research to assess whether various forms of employee well-being result from specific dimensions of workplace spirituality. Practical implications Organizations may implement workplace spirituality for simultaneously enhancing multiple forms of employee well-being. Social implications As employee well-being is a matter of social concern, the findings of this study indicating a positive association between workplace spirituality and employee well-being have a social relevance. Originality/value To the author’s knowledge, this is the first study to examine the relationship between workplace spirituality and four forms of employee well-being, namely; emotional, psychological, social, and spiritual well-being. As employee well-being is an important concern for organizations, the contribution of the study findings is that workplace spirituality implementation can simultaneously enhance multiple forms of employee well-being.
Spectrum‐efficiency enhancement in small cell networks with biasing cell association and eICIC: An analytical framework

Load balancing and interference management play crucial roles in small cell network (SCN) capacity and spectrum efficiency (SE) enhancement. By performing load balancing between macrocell and small cells, biasing cell association has attracted great attentions since it is proposed. Additionally, enhanced intercell interference coordination (eICIC) technology is also developed as an efficient interference mitigation method for the biasing cell association‐based SCNs. In this paper, we develop an SE enhancement framework with joint consideration of the eICIC factor and biasing factor. Using the stochastic geometry theory, the network is modeled by spatial Poisson point process. We firstly derive the downlink average rate, which is performed at a typical user. Secondly, the eICIC factor‐related network SE is analyzed by proving the existence of optimal eICIC factor, which maximizes the network SE. For the intractability of the closed‐form expression of optimal eICIC factor, a bisection search‐based algorithm is developed then. At last, numerical results confirm our analysis and show the proposed algorithm performance. Copyright © 2014 John Wiley & Sons, Ltd.
Family-Work Conflict and the Intention to Quit among Hotel Employees in Sabah

The purpose of this study is to examine the relationship between family-work conflict and intention to quit among employees of 5-star hotels in the surrounding area of Kota Kinabalu, Sabah, while discovering the mediation effect of organizational commitment. A total of 138 respondents collected for the statistical data requirement through questionnaires form to targeted respondents. Bootstrapping was conducted and data collected showed the result of mediating effects between family-work conflict, organizational commitment and intention to quit. However, it was found that most of the direct relationships between the researched variables were significantly supported. Convergent validity, discriminant validity, and hypothesis testing was conducted in matter to examine and justify the findings.
A Framework for Measuring Semantic Drift in Ontologies

Semantic drift is an active field of research, aiming to identify and measure changes in ontologies across time and versions, closely related to ontology evolution. However, practical and widely adopted methods that are directly applicable to Semantic Web constructs have yet to emerge. Building upon and extending existing work, this paper presents a framework for measuring semantic drift in ontologies across time or multiple versions, using text and structural similarity methods to provide valuable insights. Its applicability and usefulness are validated through a proof-ofconcept scenario in Digital Preservation, where long-term insights about change are crucial, to track drift across a decade’s worth of real-world digital media data.
β(1,3)-Glucanosyl-Transferase Activity Is Essential for Cell Wall Integrity and Viability of Schizosaccharomyces pombe

Background The formation of the cell wall in Schizosaccharomyces pombe requires the coordinated activity of enzymes involved in the biosynthesis and modification of β-glucans. The β(1,3)-glucan synthase complex synthesizes linear β(1,3)-glucans, which remain unorganized until they are cross-linked to other β(1,3)-glucans and other cell wall components. Transferases of the GH72 family play important roles in cell wall assembly and its rearrangement in Saccharomyces cerevisiae and Aspergillus fumigatus. Four genes encoding β(1,3)-glucanosyl-transferases -gas1+, gas2+, gas4+ and gas5+- are present in S. pombe, although their function has not been analyzed. Methodology/Principal Findings Here, we report the characterization of the catalytic activity of gas1p, gas2p and gas5p together with studies directed to understand their function during vegetative growth. From the functional point of view, gas1p is essential for cell integrity and viability during vegetative growth, since gas1Δ mutants can only grow in osmotically supported media, while gas2p and gas5p play a minor role in cell wall construction. From the biochemical point of view, all of them display β(1,3)-glucanosyl-transferase activity, although they differ in their specificity for substrate length, cleavage point and product size. In light of all the above, together with the differences in expression profiles during the life cycle, the S. pombe GH72 proteins may accomplish complementary, non-overlapping functions in fission yeast. Conclusions/Significance We conclude that β(1,3)-glucanosyl-transferase activity is essential for viability in fission yeast, being required to maintain cell integrity during vegetative growth.
Structural risk minimization for reduced-bias time-frequency-based detectors design

Detectors design requires substantial knowledge of the observation statistical properties, conditionally to the competing hypotheses H/sub 0/ and H/sub 1/. However, many applications involve complex phenomena, in which few a priori information is available. Several methods of designing time-frequency-based (TF) receivers from labeled training data have been proposed. Unfortunately, the resulting detectors have large biases, particularly when the number of training samples is small compared to the data dimension. The method presented is based on the structural risk minimization principle developed by Vapnik (1982), and consists in locally adjusting the resolution of TF-based detectors to the information carried by each TF location. This operation, controlled by a measure of H/sub 0/ and H/sub 1/ separability, allows one to advantageously reduce the receivers complexity and solutions bias. The resulting reduced-bias TF-based detectors can yield a substantial improvement in detection performance.
On Linkhood, Topicalization and Clitic Left Dislocation

This paper focuses on the Information Packaging notion of linkhood and provides a structural definition of this notion for Greek. We show that a combination of structural resources – syntactic (left dislocation), morphological (clitic duplication) and phonological (absence of nuclear accent) – are simultaneously exploited to realize linkhood in Greek, a generalization that can be captured in a constraint-based grammar such as HPSG, which permits the expression of interface constraints. We assume Vallduví's (1992) approach to Information Packaging, and Engdahl & Vallduví's (1996) implementation of the latter in HPSG, but deviate from Vallduví's work in adopting Hendriks & Dekker's (1996) revised definition of linkhood that relies on non-monotone anaphora. From an empirical point of view, our approach directly accounts for the invariable association of Clitic Left Dislocated NPs with wide scope readings, as well as a number of systematic differences in felicity conditions between Clitic Left Dislocation and other apparently related phenomena (Topicalization and Clitic Doubling). From a theoretical perspective, our analysis departs from syntax-based notions of topichood or discourse-linking and supports a definition that unifies linkhood with other anaphora phenomena. As such, it arguably overcomes previously noted problems for Vallduví's treatment of links as the current-locus-of-update in a Heim-style file-card system.
Fast Algorithms for Inventory Based Speech Enhancement

A significant number of the algorithms that are currently employed in commercially available single-channel speech enhancement products arewaveform filtering basedmethods. Waveform filtering implies that an appropriately chosen filter1 is applied to the incoming noisy speech data in order to change or smooth the shape the resulting filtered waveform. The objective of the filtering is usually to either improve the perceptual quality of the output -orto improve the recognition rate of a subsequently used speech recognition system. Prominent examples of waveform processing are the Wiener filtering extensions proposed by McAulay & Malpass (1980) and Ephraim & Malah (1984). Other examples include schemes that employ wavelets by Hu& Loizou (2004) andmodifications of the iterativeWiener filter and the Kalman filter by Mouchtaris et al. (2007). Also related are the spectral subtraction method developed by Boll in 1979 (see the text by Deller et al. (1993)) and its powerful extension, the multiband spectral subtraction described in the text by Loizou (2007). The success of manywaveform filtering basedmethods is due to their relative (computational) simplicity and robustness. A disadvantage of filtering based methods, however, is that they are never able to completely remove the noise. They are usually aiming to achieve a reasonable tradeoff between a desired reduction of the noise and an undesired but inadvertent distortion of the targeted signal. The search for a denoising paradigm that, at least in theory, allows for potentially “perfect” enhancement has motivated many researchers to study model based denoising methods. In model based denoising a parametric model for a speech signal (which may be deterministic or stochastic in nature) is used instead of a general waveform model. A popular choice
Cosmic Microwave Background Comptonization by Energetic Nonthermal Electrons in Clusters of Galaxies

Use of the Sunyaev-Zeldovich effect as a precise cosmological probe necessitates a realistic assessment of all possible contributions to Comptonization of the cosmic microwave background in clusters of galaxies. We have calculated the additional intensity change due to various possible populations of energetic electrons that have been proposed in order to account for measurements of intracluster radio, nonthermal X-ray, and (possibly also) EUV emission. Our properly normalized estimates of (the highly model-dependent value of) the predicted intensity change due to these electrons are well below ~6% and ~35% of the usual Sunyaev-Zeldovich effect as a result of electrons in the hot gas in Coma and A2199, respectively. These levels constitute high upper limits since they are based on energetic electron populations whose energy densities are comparable to those of the thermal gas. The main impact of nonthermal Comptonization is a shift of the crossover frequency (where the thermal effect vanishes) to higher values. Such a shift would have important consequences for our ability to measure cluster peculiar velocities from the kinematic component of the Sunyaev-Zeldovich effect.
An analysis of 2004 Sumatra earthquake fault plane mechanisms and Indian Ocean tsunami

The 2004 Sumatra earthquake and the associated tsunamis are one of the most devastating natural disasters in the last century. Several fault plane models have been suggested to represent the rupture mechanism of the earthquake. During this tsunami event, two satellites flew over Bay of Bengal and provided measurements for sea surface elevation with accuracy better than 4.2 cm. The satellite data provide an opportunity to further calibrate and validate the fault mechanism and tsunami propagation models as well. Thus, based on the proposed fault plane models, a series of numerical simulations for tsunami generation and propagation in the Bay of Bengal have been carried out. In comparison with the satellite data, the numerical results show that although the length of the entire ruptured zone is up to 1300 km long for this earthquake, the duration of slip and the rupture speed are still relatively short in comparison with the time scale and the propagation speed of tsunami and the impulsive fault plane model simulates reasonably well the tsunamis in the deep ocean.An inverse method is developed to optimize the seafloor displacement on the fault plane based on the measurements of satellite Jason-1. Finally, employing the optimized fault plane model, we demonstrate that the tsunami simulation model can produce results that match very well with the measurements of sea surface level by satellite TOPEX/Poseidon and available tidal gage measurements at Maldives.
An Exact Algorithm for Finding Minimum Oriented Bounding Boxes

A new method is presented for computing tight-fitting enclosing bounding boxes for point sets in three dimensions. The algorithm is based on enumerating all box orientations that are uniquely determined by combinations of edges in the convex hull of the input point set. By using a graph search technique over the vertex graph of the hull, the iteration can be done quickly in expected O(n(logn)) time for input point sets that have a uniform distribution of directions on their convex hull. Under very specific conditions, the algorithm runs in worst case O(n logn) complexity. Surprisingly, empirical evidence shows that this process always yields the globally minimum bounding box by volume, which leads to a conjecture that this method is in fact optimal. CR Categories: F.2. 2 [Analysis of Algorithms and Problem Complexity]: Nonnumerical Algorithms and Problems—Geometrical Problems and Computations; I.3. 5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric Algorithms; Object representations