Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk factors of post-traumatic stress disorder in tsunami survivors of Kanyakumari District, Tamil Nadu, India

Context: In this study, we assessed the relation of possible risk factors with post-traumatic stress disorder (PTSD) in the survivors of December 2004 tsunami in Kanyakumari district. Materials and Methods: We identified cases (n=158) and controls (n=141) by screening a random sample of 485 tsunami survivors from June 2005 to October 2005 using a validated tool, “Impact of events scale-revised (IES-R),” for symptoms suggestive of PTSD. Subjects whose score was equal to or above the 70th percentile (total score 48) were cases and those who had score below or equal to 30th percentile (total score 33) were controls. Analysis was done using statistical package for the social sciences to find the risk factors of PTSD among various pre-disaster, within-disaster and post-disaster factors. Results: Multivariate analysis showed that PTSD was related to female gender [odds ratio (OR) 6.35, 95% confidence interval (CI) 3.26-12.39], age 40 years and above (OR 2.38, 95% CI 1.23-4.63), injury to self (OR 2.97, 95% CI 1.55-5.67), injury to family members (OR 2.09, 95% CI 1.05-4.15), residence in urban area (area of maximum destruction) (OR 3.37, 95% CI 1.35-8.41) and death of close relatives (OR 3.83, 95% CI 1.91-7.68). Absence of fear of recurrence of tsunami (OR 0.32, 95% CI 0.17-0.60), satisfaction of services received (OR 0.57, 95% CI 0.36-0.92) and counseling services received more than three times (OR 0.45, 95% CI 0.26-0.78) had protective effect against PTSD. Conclusions: There is an association of pre-disaster, within-disaster and post-disaster factors with PTSD, which demands specific interventions at all phases of disaster, with a special focus on vulnerable groups.
Exploring Attributes with Domain Knowledge in Formal Concept Analysis

Recent literature reports the growing interests in data analysis using FormalConceptAnalysis (FCA), in which data is represented in the form of object and attribute relations. FCA analyzes and then subsequently visualizes the data based on duality called Galois connection. Attribute exploration is a knowledge acquisition process in FCA, which interactively determines the implications holding between the attributes. The objective of this paper is to demonstrate the attribute exploration to understand the dependencies among the attributes in the data. While performing this process, we add domain experts’ knowledge as background knowledge. We demonstrate the method through experiments on two real world healthcare datasets. The results show that the knowledge acquired through exploration process coupled with domain expert knowledge has better classification accuracy.
Field-effect-tuned lateral organic diodes

The operation of organic diodes in solar cells and light-emitting displays strongly depends on the properties of the interfaces between hole- and electron-carrying organic semiconductors. Such interfaces are difficult to characterize, as they are usually buried under the surface or exist as an irregular “bulk heterojunction. ” Using a unique fluorinated barrier layer-based lithographic technique, we fabricated a lateral organic p-n junction, allowing the first observation of the potential at an organic p-n interface simultaneously with the charge transport measurements. We find that the diode characteristics of the device (current output and rectification ratio) are consistent with the changes in the surface potentials near the junction, and the current-voltage curves and junction potentials are strongly and self-consistently modulated by a third, gate electrode. The generality of our technique makes this an attractive method to investigate the physics of organic semiconductor junctions. The lithographic technique is applicable to a wide variety of soft material patterns. The observation of built-in potentials makes an important connection between organic junctions and textbook descriptions of inorganic devices. Finally, these kinds of potentials may prove to be controlling factors in charge separation efficiency in organic photovoltaics.
Mercury/waterfilling: optimum power allocation with arbitrary input constellations

For parallel independent Gaussian-noise channels with an aggregate power constraint, independent Gaussian inputs whose powers are allocated according to the waterfilling policy maximize the sum mutual information. In practice, however, discrete signalling constellations such as m-PSK or m-QAM are used in lieu of the ideal Gaussian signals. This paper gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual information over parallel channels with arbitrary input constellations
Articulatory-to-Acoustic Conversion with Cascaded Prediction of Spectral and Excitation Features Using Neural Networks

This paper presents an articulatory-to-acoustic conversion method using electromagnetic midsagittal articulography (EMA) measurements as input features. Neural networks, including feed-forward deep neural networks (DNNs) and recurrent neural networks (RNNs) with long short-term term memory (LSTM) cells, are adopted to map EMA features towards not only spectral features (i.e. mel-cepstra) but also excitation features (i.e. power, U/V ﬂag and F0). Then speech waveforms are reconstructed using the predicted spectral and excitation features. A cascaded prediction strategy is proposed to utilize the predicted spectral features as auxiliary input to boost the prediction of excitation features. Experimental results show that LSTM-RNN models can achieve better objective and subjective performance in articulatory-to-spectral conversion than DNNs and Gaussian mixture models (GMMs). The strategy of cascaded prediction can increase the accuracy of excitation feature prediction and the neural network-based methods also outperform the GMM-based approach when predicting power features.
The impacts of goal orientation, terminology effect, and source credibility on communication effectiveness

This research explores the interaction effect of terminology and source credibility on communication effectiveness between prevention-focused and promotion-focused individuals. Results reveal that communication messages containing terminologies are more effective than those containing no terminologies for promotion-focused individuals, whereas messages containing no terminologies are more effective than those containing terminologies for prevention-focused individuals. Furthermore, messages containing terminologies endorsed by either a high- or a low-credibility source are more effective than those containing no terminology information for promotion-focused individuals. However, for prevention-focused individuals, communication messages containing terminologies endorsed by a highly credible source are more effective than those containing no terminology information. Alternatively, communication messages containing no terminology information are more effective than those containing terminologies endorsed by a low credible source.
Understanding the Change Process: Valuing What it is That Coaches Do

INTRODUCTION Tania Cassidy’s article illustrates the difficulties that coaches may experience in reflecting in order to change their coaching practice. It also provides thought-provoking theoretical and methodological implications for how researchers and drivers of change, such as governing bodies, attempt to understand and advise changes in social endeavours, such as coaching behaviour. Cassidy accomplishes this through using Giddens’ Structuration theory [1] to help explain why messages of change are not received and enacted and why it is problematical to try to change taken-for-granted practices that exist in sports coaching communities. A strength of Cassidy’s article is how she describes the limited use of rational arguments when attempting to change coaching practice through reflection. The coaching research literature is very much dominated by rational thinking and often paints a very simplistic picture of the coaching process. Yet, Cassidy correctly reminds us that such arguments only go so far if they fail to acknowledge how coaches arrived at their decisions and thus subsequent actions. Coaches are being expected to take up, understand and utilise an increasingly complex, variety of knowledges [2]. Yet, despite the growth in the number of coach education programmes, coaches still cite coaching experience as the greatest source of professional development [3]. Nevertheless, it is widely acknowledged that experience is not solely sufficient for learning [4]. Instead, reflection is vital to experiential learning [5]. Rational arguments as how to change coaching practice through reflection conceive this process as straightforward. However, Cassidy argues that such arguments do not consider or do not give full value to the everyday practices in which coaches engage. This is her rationale for using Giddens’ Structuration theory [1], for the explanatory power of practical consciousness. With this in mind, I will begin my commentary with an outline of the limits of rational arguments in explaining the change process. This will be followed by a critique of Cassidy’s use of Giddens’ Structuration theory [1] within a sports coaching context.
Exercise training in intermittent claudication: Effects on antioxidant genes, inflammatory mediators and proangiogenic progenitor cells

Summary Exercise training remains a therapy of choice in intermittent claudication (IC). However, too exhaustive exercise may cause ischaemic injury and inflammatory response. We tested the impact of three-month treadmill training and single treadmill exercise on antioxidant gene expressions, cytokine concentrations and number of marrow-derived proangiogenic progenitor cells (PPC) in the blood of IC patients. Blood samples of 12 patients were collected before and after training, before and 1, 3 and 6 hours after the single exercise. PPCs were analysed with flow cytometry, cytokine concentrations were checked with Milliplex MAP, while expression of mRNAs and miRNAs was evaluated with qRT-PCR. Treadmill training improved pain-free walking time (from 144 ± 44 seconds [s] to 311 ± 134 s, p=0.02) and maximum walking time (from 578 ± 293 s to 859 ± 423 s, p=0.01) in IC patients. Before, but not after training, the single treadmill exercise increased the number of circulating CD45dimCD34+CD133-KDR+ PPCs (p=0.048), decreased expression of HMOX1 (p=0.04) in circulating leukocytes, reduced tumour necrosis factor-α (p=0.03) and tended to elevate myeloperoxidase (p=0.06) concentrations in plasma. In contrast, total plasminogen activator inhibitor-1 was decreased by single exercise only after, but not before training (p=0.02). Both before and after training the single exercise decreased monocyte chemoattractant protein (MCP)-1 (p=0.006 and p=0.03) concentration and increased SOD1 (p=0.001 and p=0.01) expression. Patients after training had also less interleukin-6 (p=0.03), but more MCP-1 (p=0.04) in the blood. In conclusion, treadmill training improves walking performance of IC patients, attenuates the single exercise-induced changes in gene expressions or PPC mobilisation, but may also lead to higher production of some proinflammatory cytokines.
Where are the cosmic metals at z∼ 3?

The global temperature distribution of the cosmic gas-phase oxygen at z ∼ 3 is determined by combining high-resolution cosmological simulations of individual protogalactic as well as larger regions with the observed, extinction-corrected, rest-frame V-band galaxy luminosity function. The simulations have been performed with three different stellar initial mass functions (IMFs), a Kroupa (K98), a Salpeter (S) and an Arimoto-Yoshii (AY), spanning a range of a factor of 5 in chemical yield and specific supernova type II energy feedback. Gas-phase oxygen is binned according to Tas log(T) ≤ 4.0 ('cold'), log(T) ∼ 4.5 ('warm') and log(T) ∼ 5.0, 5.5, 6.0, 6.5, 7.0 ('hot' phases). Oxygen is found to be distributed over all T phases, in particular for the top-heavy AY IMF. But, at variance with previous works, it is found that for the K98 and S IMFs the cold phase is the most important. For these IMFs it contains 47 and 37 per cent, respectively, of all gas-phase oxygen, mainly at fairly high density, n H ≥ 0.1 cm -3 . The implications of this in relation to observational damped Lya absorber studies are discussed. In relation to 'missing metals' it is found that a significant fraction of the oxygen is located in a warm/hot phase that may be very difficult to detect. Moreover, it is found that less than about 20-25 per cent of the cosmic oxygen is associated with galaxies brighter than M v ∼ -22, i.e. the faintest galaxy luminosities probed by current metallicity determinations for Lyman-break galaxies (LBGs). Hence, 75-80 per cent of the oxygen is also in this sense 'missing'. From the LBG-based, λ ∼ 1500 A ultraviolet luminosity density history at z ≥ 3, we obtain an essentially IMF-independent constraint on the mean oxygen density at z = 3. We compare this to what is obtained from our models, for the three different IMFs. We find that the K98 IMF is strongly excluded, as the chemical yield is simply too small, the Salpeter is marginally excluded, and the AY matches the constraint well. The K98 IMF can only match the data if the λ ∼ 1500 A extinction corrections have been overestimated by factor of ∼4, which seems highly unlikely. The yields for K98 are also far too small to match the observational data for C iv. The optimal IMF should have a yield intermediate between the S and AY.
Teaching Mathematics and the Inuit Community

In the spring of 2000, the Inuit community and the Kativik School Board were pondering the difficulties encountered by students in mathematics and the measures that could be taken to help these students. One significant fact that it seemed might help explain these difficulties was that Inuit students learn Inuit mathematics (for example, a base-20 numeral system) in their own language in the first three years of their schooling and then go on to study in either French or English. A collaboration between researchers, teachers from the Inuit community, and curriculum developers was established. In this article, we present facets of the environment, language, and culture of the Inuit that influenced the development of the Inuit numeration system, their ways of measuring (length, distance, time, etc.), and their great aptitude in spatial representations. We then discuss the current collaborative project that aims at the development of teaching situations adapted to Inuit classrooms. RésuméAu printemps 2000, la communauté Inuit et la commission scolaire Kativik s’interrogeaient sur les difficultés qu’éprouvent les élèves en mathématiques et sur les actions à prendre pour aider les élèves. Un facteur important pour expliquer de telles difficultés tient au fait que les élèves inuit apprennent durant leurs trois premières années d’école, les mathématiques traditionnelles inuit dans leur langue (par exemple, ils ont recours à un système de nombres en base 20) puis poursuivent leur apprentissage en français ou en anglais. Un projet de recherche collaborative a été mis sur pied impliquant des enseignants inuit, des responsables du développement de programme et des chercheurs. Dans cet article, nous présentons quelques éléments de leur environnement, de leur langue et de leur culture qui ont amené les Inuit à développer leurs mathématiques. Des exemples en arithmétique, en mesure et en relations spatiales sont présentés. Nous terminons par une discussion autour du projet de recherche collaborative qui a pour but le développement de situations d’enseignement adaptées au contexte Inuit.
Treatments of unilateral neglect: a review.

OBJECTIVES To review the existing literature on treatments of unilateral neglect, to synthesize findings, and to offer recommendations for future studies. DATA SOURCES Computerized databases including MEDLINE and PsychINFO. STUDY SELECTION All studies investigating treatment(s) of unilateral neglect. DATA EXTRACTION Authors reviewed design and other methodologic issues. DATA SYNTHESIS Unilateral neglect is a common consequence of right-hemisphere stroke. It is well recognized that the disorder is heterogeneous and has numerous subtypes. There have been numerous studies showing that arousal, hemispheric activation, and spatial attention treatments may all improve neglect, at least transiently. Despite these promising outcomes, little consensus exists as to whether 1 treatment is more efficacious than others, in part because cross-study differences in methodology render meta-analyses difficult, and in part because many studies fail to document duration of treatment effects or generalization to daily activities. One possibility is that these varied and diverse treatments may all be effective, reflecting redundancy in neural circuits devoted to attention and action in space, and consequent flexibility of the spatial processing system. It remains possible, however, that different subtypes of neglect may respond differentially to treatment of various sorts. Most existing studies of neglect have relied on very small populations of neglect patients, whose neglect is characterized only generally. CONCLUSION Methodologic shortcomings hinder assessment of the efficacy of various types of neglect treatment. In the future, these shortcomings could be addressed with larger studies of well-characterized patients that evaluate duration of treatment effects and include functional measures. In addition, the role of overarching variables, such as reduced arousal, requires consideration. The ultimate goal of these studies might be the development of triaging strategies wherein neglect patients are assigned to treatments of most likely benefit on the basis of neuroanatomic and behavioral profiles.
Proximity-Aware DHT for Efficient Lookup Service in Peer-to-Peer Applications

Distributed Hash Tables (DHTs) attract considerable attention as a way of realizing an efficient lookup service in Peer-to-Peer (P2P) applications. However, many of conventional DHTs such as Chord and Kademlia do not take into account the proximity of nodes in the physical network, which causes a significant performance degradation as the size of the underlying network grows. In this paper, we propose a method to construct a proximity-aware DHT based on the notion of virtual coordinate space realized by a network coordinate system (NCS). The performance of the proposed method is evaluated by simulation. The result of simulations indicates that it reduces the average physical distance between adjacent nodes in the P2P overlay by 10% for random or scale-free networks, and by 80% for grid-structured networks.
Policy-Based Resource Management for Application Level Active Networks

The emerging active network concepts, particularly those focusing on the application level, will provide the users with the flexibility of deployment of customised services on the operator's infrastructure. This will be achieved through deployment of user customised control code in virtual execution environments residing on the network nodes such as routers and servers. In order to achieve efficient network operation, the resource consumption on both element and network levels must be managed. In an active networking environment resource requirements come in three categories: bandwidth, memory and processing. Based on the active networking architecture proposed in the IST project ANDROID, we develop resource models and metrics that take into account these three resource categories. The resource models are further used to define the necessary classes of policies in order to achieve efficient resource management. Policies are expressed in XML, and an example policy is given. Finally, we present an experiment comparing the use of alternative resource allocation policies. We also briefly discuss some security issues in the application level active networks.
A COMPUTER-GENERATED VISUAL MORPHOLOGY CATALOG OF ∼3,000,000 SDSS GALAXIES

We have applied computer analysis to classify the broad morphological types of ∼3 · 106 Sloan Digital Sky Survey (SDSS) galaxies. For each galaxy, the catalog provides the DR8 object ID, the R.A. , the decl. , and the certainty for the automatic classification as either spiral or elliptical. The certainty of the classification allows us to control the accuracy of a subset of galaxies by sacrificing some of the least certain classifications. The accuracy of the catalog was tested using galaxies that were classified by the manually annotated Galaxy Zoo catalog. The results show that the catalog contains ∼900,000 spiral galaxies and ∼600,000 elliptical galaxies with classification certainty that has a statistical agreement rate of ∼98% with the Galaxy Zoo debiased “superclean” data set. The catalog also shows that objects assigned by the SDSS pipeline with a relatively high redshift (z > 0.4) can have clear visual spiral morphology. The catalog can be downloaded at http://vfacstaff.ltu. edu/lshamir/data/morph_catalog. The image analysis software that was used to create the catalog is also publicly available.
Turning Agents into Psychological Principals: Aligning Interests of Non‐Owners Through Psychological Ownership

Principals who delegate tasks to agents face the perennial challenge of overcoming agency problems. We investigate whether feelings of ownership among senior managers in the absence of formal ownership can align agents' interests with those of principals, thus turning agents into psychological principals. Using a moderated mediation model, we find that psychological ownership is positively related to company performance through the mediating effect of individual-level entrepreneurial behaviour. We also find that the effect of psychological ownership on individual-level entrepreneurial behaviour and, ultimately, company performance is weaker for high levels of monitoring compared to low levels. These findings offer important contributions to agency, psychological ownership, and entrepreneurship literatures.
Run-time Prediction of the Optimal Performance Point in DVS-based Dynamic Thermal Management

Due to the increasing trend toward greater processor power density and computationally intensive applications, Dynamic Thermal Management (DTM) has become an essential technique in modern processors. Among many DTM techniques, Dynamic Voltage Scaling (DVS) is widely used because of its chief virtue - a cubic reduction in power at the relatively minor cost of a linear performance penalty. Because this reduction comes at a cost in execution speed, a key point of DVS-based DTM research is how accurately the processor predicts the optimal performance point where it can meet the thermal constraints while also minimizing the performance penalty. In this paper, we propose a new DVS-based DTM technique that makes the prediction of the optimal performance point more accurate. To achieve this, run-time prediction techniques are used and different power compositions due to process variations are considered from a VLSI perspective. The prediction process is performed by referring to one of the Look-Up Tables (LUTs) prepared during design time and also the average clock enable ratio that is dynamically calculated at run time. The simulation results show that we can achieve maximum processor performance while keeping the processor temperature from exceeding the threshold temperature.