Miracle-dz/UniFAR-FTUs huggingface dataset:
Re-imagining reflection: creating a theatrical space for the imagination in productive reflection

Recently, Boud, Cressey and Docherty (2006) reconceptualized the process of reflection at work and renamed it ‘productive reflection’. They extend ideas of reflection as an individualised examining of experience to a collective process within a workplace context. Productive reflection is seen ideally as being an integrated part of workplace practice and is designed to enhance the quality of workplace learning. Boud et al. (2006 p. 5) also suggest that “productive reflection is a key to unlocking vital creative forces in employees” and this helps workers deal with the changing demands of the modern workplace (Burns, 2004). Productive reflection can therefore provide a valuable framework for thinking how it is possible to move beyond conventional ideas of reflection and make reflection relevant to professional development and lifelong learning. There is one area that is often absent in the discussions of productive reflection and that is the place of the imagination and creativity in the reflection process. Reflection can be seen as a creative process closely linked to imaginative thinking as it involves “re-experiencing something that happened earlier, projecting into the future or transforming someone or something through action learning” (Taylor, Marienau, Fiddler, 2000). Professionals involved in reflective processes are reimagining their experience and therefore have to learn how to create images, to reenvision their experience. Whilst Taylor et al. (p.96) suggests that “imagining involves visioning at a deeper level than reflecting”, I will argue in this paper that this need not be the case and that productive reflection could benefit from a perspective that focuses on creativity and imaginative thought. Once the elements of imagination and creativity are recognised as integral to the reflective process, it is possible to draw on theatre arts literature and ideas of the aesthetic to develop new reflective practices that can enhance workplace learning. Reflection can be seen as the process of creating imaginary pictures or scenarios of experience and as such have a theatrical quality. The reflective process, like theatre, re-imagines and fictionalises certain workplace experiences and ‘brackets them off’ for further noticing and contemplation. In this paper I will use theories of productive reflection at work and theatre arts theory to examine the importance of creativity and the imagination in professional learning. I will illustrate the practical possibilities of this approach by describing how I used the ideas of theatre arts practitioners to create processes for helping
A Phase I Study of Oral ARRY-614, a p38 MAPK/Tie2 Dual Inhibitor, in Patients with Low or Intermediate-1 Risk Myelodysplastic Syndromes

Purpose: Data suggest that activity of p38 MAPK and Tie2 kinases is dysregulated in myelodysplastic syndromes (MDS) and may be targets for novel therapies. A phase I study of ARRY-614, an oral dual inhibitor of p38 MAPK and Tie2, was conducted in patients with low or intermediate-1 International Prognostic Scoring System risk MDS to evaluate safety, pharmacokinetics (PK), pharmacodynamics (PD), and preliminary responses by International Working Group 2006 criteria. Experimental Design: Forty-five patients received ARRY-614 either once daily or twice daily in dose escalation (400, 600, 900, or 1,200 mg once daily; 200 or 300 mg twice daily) or expansion cohorts. Results: The 300 mg twice daily schedule was not tolerated, and an MTD was not reached for once daily dosing. Treatment-related adverse events were primarily grade 1–2, with the most common being rash, diarrhea, dry skin, fatigue and anorexia. Interpatient PK variability was high, although exposure was sufficient to achieve reduction in p38 MAPK activation in bone marrow and in the levels of circulating biomarkers. Disease responses were observed in 14 of 44 (32%) evaluable patients, 13 (93%) of whom had previously been treated with a hypomethylating agent. Responses were observed in all lineages, with 5 patients experiencing bilineage responses. Three of 25 red blood cell transfusion-dependent (TD) patients achieved transfusion independence (TI) and 5 of 7 platelet TD patients achieved TI. Conclusions: ARRY-614 was well tolerated and has sufficient activity to warrant further evaluation in this patient population. We recommend 1,200 mg once daily as the optimal dose for further study. Clin Cancer Res; 21(5); 985–94. ©2014 AACR.
Rank Aggregation Performance Analysis for Borda and Local Search Algorithm

This paper presents a novel theoretical analysis for Borda's algorithm and local search algorithm for rank aggregation, which is a heated topic in the field of search technology nowadays and is also known as a NP-hard problem. In contrast to the previous known approximation ratio of Borda's algorithm, which is 5, we show in this paper that Borda's algorithm is at most 5-8/k approximation for rank aggregation, where k is the number of permutations to be aggregated. Local search algorithm is also widely used in this area but to our best knowledge, there is no approximation ratio analysis for such an algorithm. In other words, this paper proposes the first theoretical analysis for local search rank aggregation algorithm and shows that this algorithm is actually expected-k/2 approximation. At the end of this paper, several simulation results yields that local search algorithm is a good practical way for the approximation of rank aggregation.
A Multivariate Analysis of Evoked Responses in EEG and MEG Data

This paper presents a multivariate analysis of evoked responses and their spatiotemporal dynamics as measured with electro- or magnetoencephalography. This analysis uses standard techniques (ManCova) to make possible statistical inference about differential responses, after the data have been transformed using singular value decomposition. The generality of this approach is limited only by the assumptions implicit in the general linear model and can range from simple analyses like Hotelling's T2 test (in comparing evoked responses among different conditions) to complex analyses of a multivariate regression type (e.g., characterizing the response components associated with a behavioral or psychophysical parameter). To illustrate the technique we have characterized time-dependent changes (both within and between trials) in magnetic fields, evoked by self-paced movements. Our illustrative analysis showed that movement-evoked components were less prone to adaptation than premovement components, suggesting that functionally distinct (preparatory and early executive) biomagnetic signals show differential adaptation.
Enhanced perceptual priming for neutral stimuli in a traumatic context: A pathway to intrusive memories?

Clinical observations suggest that re-experiencing symptoms are triggered by stimuli that are perceptually similar to those present shortly before the trauma or its worst moments. Two experiments investigated the possible role of perceptual priming in this phenomenon. Volunteers (N = 28, N = 62) watched a series of “traumatic” and neutral picture stories, and completed blurred object identification (priming) and recognition memory tasks. Neutral objects that immediately preceded the “traumatic” stories were more strongly primed, but not better recognised, than objects from neutral stories. Enhanced priming predicted subsequent re-experiencing symptoms. The results support the role of perceptual priming in re-experiencing.
The Role of TLR2, TLR4, and TLR9 in the Pathogenesis of Atherosclerosis

Toll-like receptors (TLRs) are key players in the pathogenesis of inflammatory conditions including coronary arterial disease (CAD). They are expressed by a variety of immune cells where they recognize pathogen-associated molecular patterns (PAMPs). TLRs recruit adaptor molecules, including myeloid differentiation primary response protein (MYD88) and TIRF-related adaptor protein (TRAM), to mediate activation of MAPKs and NF-kappa B pathways. They are associated with the development of CAD through various mechanisms. TLR4 is expressed in lipid-rich and atherosclerotic plaques. In TLR2−/− and TLR4−/− mice, atherosclerosis-associated inflammation was diminished. Moreover, TLR2 and TLR4 may induce expression of Wnt5a in advanced staged atheromatous plaque leading to activation of the inflammatory processes. TLR9 is activated by CpG motifs in nucleic acids and have been implicated in macrophage activation and the uptake of oxLDL from the circulation. Furthermore, TLR9 also stimulates interferon-α (INF-α) secretion and increases cytotoxic activity of CD4+ T-cells towards coronary artery tunica media smooth muscle cells. This review outlines the pathophysiological role of TLR2, TLR4, and TLR9 in atherosclerosis, focusing on evidence from animal models of the disease.
Reducing torque pulsation in interior permanent magnet machine with FSCW for hybrid electric vehicle

This paper analyzes and studies the methods of reducing torque pulsation in interior permanent magnet (IPM) machines with fractional-slot concentrated-winding (FSCW) for hybrid electric vehicles. Several methods are proposed to reduce the cogging torque and ripple torque for the IPM machine. Two finite element analysis (FEA) models of the IPM machine, including FSCW and integer-slot distributed windings, are studied in order to verify the proposed method. Finally, the performance of the machine with these two windings, including the flux-weakening capabilities, is compared. The comparison results show that the machine with FSCW has lower torque pulsation and wider speed range of constant power than the machine with integer-slot winding.
Proteins comparison through probabilistic optimal structure local alignment

Multiple local structure comparison helps to identify common structural motifs or conserved binding sites in 3D structures in distantly related proteins. Since there is no best way to compare structures and evaluate the alignment, a wide variety of techniques and different similarity scoring schemes have been proposed. Existing algorithms usually compute the best superposition of two structures or attempt to solve it as an optimization problem in a simpler setting (e.g., considering contact maps or distance matrices). Here, we present PROPOSAL (PROteins comparison through Probabilistic Optimal Structure local ALignment), a stochastic algorithm based on iterative sampling for multiple local alignment of protein structures. Our method can efficiently find conserved motifs across a set of protein structures. Only the distances between all pairs of residues in the structures are computed. To show the accuracy and the effectiveness of PROPOSAL we tested it on a few families of protein structures. We also compared PROPOSAL with two state-of-the-art tools for pairwise local alignment on a dataset of manually annotated motifs. PROPOSAL is available as a Java 2D standalone application or a command line program at http://ferrolab.dmi. unict.it/proposal/proposal.html.
Discrete-time charge analysis for a digital RF charge sampling mixer

This paper presents an approach for analyzing the key parts of a general digital radio frequency (RF) charge sampling mixer based on discrete-time charge values. The cascade sampling and filtering stages are analyzed and expressed in theoretical formulae. The effects of a pseudo-differential structure and CMOS switch-on resistances on the transfer function are addressed in detail. The DC-gain is restrained by using the pseudo-differential structure. The transfer gain is reduced because of the charge-sharing time constant when taking CMOS switch-on resistances into account. The unfolded transfer gains of a typical digital RF charge sampling mixer are analyzed in different cases using this approach. A circuit-level model of the typical mixer is then constructed and simulated in Cadence SpectreRF to verify the results. This work informs the design of charge-sampling, infinite impulse response (IIR) filtering, and finite impulse response (FIR) filtering circuits. The discrete-time approach can also be applied to other multi-rate receiver systems based on charge sampling techniques.
Assessing the adoption level of scaled agile development: a maturity model for Scaled Agile Framework

Although the agile software development approaches have gained wide acceptance in practice, the concerns regarding the scalability and integration of agile practices in traditional large‐scale system development projects are prevailing. Scaled Agile Framework (SAFe) has emerged as a solution to address some of these concerns. Despite few encouraging results, case studies indicate several challenges of SAFe adoption. Currently, there is a lack of a well‐structured gradual approach for establishing SAFe. Before and during SAFe adoption, organizations can benefit greatly from a uniform model for assessing the current progress, and establishing a roadmap for the initiative. To address this need, we developed a maturity model that provides guidance for software developing organizations in defining a roadmap for adopting SAFe. The model can also be used to assess the level of SAFe adoption. We took an existing agile maturity model as a basis for agile practices and extended it with practices that are key to SAFe. The model was developed and refined with industry experts using the Delphi technique. A case study was conducted in a large organization where we evaluated the model by applying it to assess the level of SAFe adoption. © 2016 The Authors. Journal of Software: Evolution and Process Published by John Wiley & Sons Ltd.
Generalized compound transport of charged particles in turbulent magnetized plasmas

The transport of charged particles in partially turbulent magnetic systems is investigated from first principles. A generalized compound transport model is proposed, providing an explicit relation between the mean-square deviation of the particle parallel and perpendicular to a magnetic mean field, and the mean-square deviation which characterizes the stochastic field-line topology. The model is applied in various cases of study, and the relation to previous models is discussed.
Exploring entity associations over time

We address the problem of entity-oriented search in the humanities and social sciences domain. We are particularly interested in retrieving entities related to a query entity and finding associations between these entities over time. Evidence from our target end users suggests that it is more informative to view these associations as dynamic phenomena that evolve over time than as static phenomena. We present work-in-progress on methods to extract these associations and their temporal extent, and discuss a way of presenting them in an exploratory search interface. This interface is intended to help users to discover interesting associations between entities over time
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation

In crowdsourced data aggregation task, there exist conflicts in the answers provided by large numbers of sources on the same set of questions. The most important challenge for this task is to estimate source reliability and select answers that are provided by high-quality sources. Existing work solves this problem by simultaneously estimating sources' reliability and inferring questions' true answers (i.e., the truths). However, these methods assume that a source has the same reliability degree on all the questions, but ignore the fact that sources' reliability may vary significantly among different topics. To capture various expertise levels on different topics, we propose FaitCrowd, a fine grained truth discovery model for the task of aggregating conflicting data collected from multiple users/sources. FaitCrowd jointly models the process of generating question content and sources' provided answers in a probabilistic model to estimate both topical expertise and true answers simultaneously. This leads to a more precise estimation of source reliability. Therefore, FaitCrowd demonstrates better ability to obtain true answers for the questions compared with existing approaches. Experimental results on two real-world datasets show that FaitCrowd can significantly reduce the error rate of aggregation compared with the state-of-the-art multi-source aggregation approaches due to its ability of learning topical expertise from question content and collected answers.
Evaluating Rent Dissipation in the Spanish Football Industry

This article proposes to evaluate empirically the consequences of the rent-seeking behavior of football clubs on their costs. The empirical work entails estimating a football wage, result, and demand system with data on clubs competing in the first and second Spanish leagues during the 1996-2003 seasons. The estimation sheds light on wage distortions that differ from 45% to 52% throughout the period considered. This provides an interesting illustration of the financial difficulties faced recently by many European football clubs.
Leveraging User Interest to Improve Thread Recommendation in Online Forum

Nowadays thread recommendation is considered to be beneficial to improve the end-user stickiness of an online forum. Given the fact of information overload and the diverse interests of forum users, a recommender system in online forum can satisfy not only forum users' information needs by directing them to what they might be interested in, but also their social needs by connecting them to their friends. Some traditional recommender systems rely on a bipartite graph model to capture users' interests. As an extension, some other content-based methods are proposed to further understand the potential connections between Web users and Web contents. However, due to the prevalence of short and sparse messages in online social media, it is hard for traditional content-based methods to capture Web users' interests. In this paper, we propose a novel graphical model to extract hidden topics from Web contents, cluster Web contents into clusters, and detect users' interests on each cluster. Then we introduce two reran king models which utilize the detected user interest to boost the performance of thread recommendation. Experiment results on a public dataset showed that our proposed methods substantially outperformed the naïve content-based approach. In addition, by testing our approaches with different parameter settings, we observed, to some extent, how forum users' information needs and their social needs interplay to decide which threads they will look for.
NMR Studies of Protein Surface Accessibility*

Characterization of protein surface accessibility represents a new frontier of structural biology. A surface accessibility investigation for two structurally well-defined proteins, tendamistat and bovine pancreatic trypsin inhibitor, is performed here by a combined analysis of water-protein Overhauser effects and paramagnetic perturbation profiles induced by the soluble spin-label 4-hydroxy-2,2,6,6-tetramethyl-piperidine-1-oxyl on NMR spectra. This approach seems to be reliable not only for distinguishing between buried and exposed residues but also for finding molecular locations where a network of more ordered waters covers the protein surface. From the presented set of data, an overall picture of the surface accessibility of the two proteins can be inferred. Detailed knowledge of protein accessibility can form the basis for successful design of mutants with increased activity and/or greater specificity.
Cooperative uplink OFDMA-MIMO resource allocation with multiplexing relays

We investigate in this paper the resource allocation problem in an uplink cooperative MIMO OFDMA multiuser system. This system may be used in 5G in the context of green communications since we aim to save energy by reducing the system transmit power. We focus on multiplexing Decode and Forward (DF) relays that have their own data to transmit in addition to data to relay. Aiming to minimize the system transmit power with a required target data rate per user, the resource allocation problem is formulated as an optimization problem. The feature to optimize are relay selection, power allocation and resource block (RB) allocation. We propose a novel resolution algorithm based on dual method and Lagrangian decomposition. Moreover, at each user, Equal Power Allocation (EPA) and beamforming are studied and compared to allocate power to antennas. Simulation results show that the cooperative proposed algorithm leads to an important improvement comparing to a non-cooperative system.
Time‐correlated single photon counting FLIM: Some considerations for physiologists

Recent developments in cellular imaging now permit the minimally invasive study of protein interactions in living cells. These advances are of enormous interest to cell biologists, as proteins rarely act in isolation, but rather in concert with others in forming cellular machinery. Up until recently, all protein interactions had to be determined in vitro using biochemical approaches. This biochemical legacy has provided cell biologists with the basis to test defined protein‐protein interactions not only inside cells, but now also with spatial resolution. More recent developments in TCSPC imaging are now also driving towards being able to determine protein interaction rates with similar spatial resolution, and together, these experimental advances allow investigators to perform biochemical experiments inside living cells. Here, we discuss some findings we have made along the way which may be useful for physiologists to consider. Microsc. Res. Tech., 2007. © 2007 Wiley‐Liss, Inc.
The XMM-Newton Wide-Field Survey in the COSMOS Field: Statistical Properties of Clusters of Galaxies

We present the results of a search for galaxy clusters in the first 36 XMM-Newton pointings on the Cosmic Evolution Survey (COSMOS) field. We reach a depth for a total cluster flux in the 0.5-2 keV band of 3 × 10-15 ergs cm-2 s-1, having one of the widest XMM-Newton contiguous raster surveys, covering an area of 2.1 deg2. Cluster candidates are identified through a wavelet detection of extended X-ray emission. Verification of the cluster candidates is done based on a galaxy concentration analysis in redshift slices of thickness 0.1-0.2 in redshift, using the multiband photometric catalog of the COSMOS field and restricting the search to z < 1.3 and iAB < 25. We identify 72 clusters and derive their properties based on the X-ray cluster scaling relations. A statistical description of the survey in terms of the cumulative log(N > S)- log S distribution compares well with previous results, although yielding a somewhat higher number of clusters at similar fluxes. The X-ray luminosity function of COSMOS clusters matches well the results of nearby surveys, providing a comparably tight constraint on the faint-end slope of α = 1.93 ± 0.04. For the probed luminosity range of (8 × 1042)-(2 × 1044) ergs s-1, our survey is in agreement with and adds significantly to the existing data on the cluster luminosity function at high redshifts and implies no substantial evolution at these luminosities to z = 1.3.