Miracle-dz/UniFAR-FTUs huggingface dataset:
The Egyptian Society of Chest Diseases and Tuberculosis Egyptian Journal of Chest Diseases and Tuberculosis

n Society t.2013. 10 Abstract Background: Early detection of malignant pleural mesothelioma (MPM) is critical to survival, the use of pleural or blood fibuin-3 might allow this early detection. Aim: Studying the validity of measuring serum and pleural fibulin-3 in the diagnosis of MPM. Subjects & Methods: Fibulin-3 levels were measured in serum and pleural fluid by enzyme-linked immunosorbant assay (ELISA) in 45 patients with exudative pleural effusion. Patients with nonconclusive cytology or microbiological examination had undergone medical thoracosope for histopathological examination. Results: Twenty five was diagnosed as MPM, 11 cases as pleural metastasis of carcinoma (Mets) and nine cases with benign pleural effusions. Patients with MPM had significantly higher pleural effusion and serum fibulin-3 levels than those with metastatic effusion of carcinoma or benign pleural effusion (p-value <0.001). Using a cut-off point of pleural fluid fibulin-3 (150 ng/ml) with AUC of 0.878 (sensitivity 72.3%, specificity 80) and at a cut-off point of serum fibulin-3 (66.5 ng/ml), with AUC of 0.776 (sensitivity 88%, specificity 81.8%), discrimination between MPM and Mets occurred. Also, using a cut-off point of pleural fluid fibulin-3 (127.5 ng/ml) with AUC of 0.909 (sensitivity 88%, specificity 77.8%), and at a cut-off point of serum fibulin-3 (18 ng/ml), with AUC of 0.931 (sensitivity 100%, specificity 77.8%), discrimination between MPM and benign pleural effusion could occur. Conclusions: Fibulin-3 in the serum and pleural fluid is a good biomarker in the diagnosis of MPM and in differentiation between MPM from malignant pleural metastasis other than mesothelioma and also from benign pleural effusions. a 2013 The Egyptian Society of Chest Diseases and Tuberculosis. Production and hosting by Elsevier B.V. All rights reserved.
Tiny ImageNet Classiﬁcation with Convolutional Neural Networks

We trained several deep convolutional neural networks to classify 10,000 images from the Tiny ImageNet dataset into 200 distinct classes. An ensemble of 3 convolutional networks achieves a test set error rate of 56.7%. The top single model achieves an error rate of 58.2%. It consists of 5 convolutional layers, 3 max-pooling layers, 3 fully-connected layers, and a softmax loss. The model is trained using dropout on the fully-connected layers and ` 2 weight decay to reduce overﬁtting. More reﬁned analysis of the ensemble’s classiﬁcation errors yield insights into the strengths and weaknesses of the model architecture.
The African

Research information management has become an essential activity for higher education institutions (HEIs) worldwide as a mechanism to aggregate, curate, utilize and improve the transparency of information about research. It has led to the evolution of proprietary software systems for administering and managing research information in HEIs. However, the literature reveals that most proprietary software systems are usually inflexible, costly to maintain and do not adequately satisfy the dynamic requirements of HEIs in developing countries. Consequently, the demand for current information systems is to incorporate a high degree of formalism into software development processes to produce correct, flexible, usable and cost-effective systems. This paper reports on the development of a web-based research administration and management system (RAMS) that addresses pertinent issues associated with research information management in the context of HEIs in developing countries. The Zermelo-Fraenkel specification language has been utilized to formally specify the requirements of RAMS in close collaboration with the intended users who evaluated its usability. The overall results of the usability evaluation show that RAMS is effective, useful, easy to use, learnable and satisfactory.
A Novel Family of Triangular Co II 2 Ln III and Co II 2 Y III Clusters by the Employment of Di-2-Pyridyl Ketone †

The synthesis, structural characterization and magnetic study of novel CoII/4f and CoII/YIII clusters are described. In particular, the initial employment of di-2-pyridyl ketone, (py)2CO, in mixed metal Co/4f chemistry, provided access to four triangular clusters, [Co2M{(py)2C(OEt)(O)}4(NO3)(H2O)]2[M(NO3)5](ClO4)2 (M = Gd, 1; Dy, 2; Tb, 3; Y, 4), where (py)2C(OEt)(O)− is the monoanion of the hemiketal form of (py)2CO. Clusters 1–4 are the first reported Co/4f (1–3) and Co/Y (4) species bearing (py)2CO or its derivatives, despite the fact that over 200 metal clusters bearing this ligand have been reported so far. Variable-temperature, solid-state dc and ac magnetic susceptibility studies were carried out on 1–4 and revealed the presence of weak ferromagnetic exchange interactions between the metal ions (JCo-Co = +1.3 and +0.40 cm−1 in 1 and 4, respectively; JCo-Gd = +0.09 cm−1 in 1). The ac susceptibility studies on 2 revealed nonzero, weak out-of-phase (χ”M) signals below ~5 K.
Advantages and limitations of Virtual Classroom in Telugu Language Teaching

children today don’t learn the way they learned 50 years back, said Pitroda, Teaching remains confined to blackboard, chalk, exams, marks and the like. The IT revolution has arrived and the internet, today, enables loads of packets of information to be accessed and explored. So, herein lies the need for generational changes. ICT can provide opportunities to enabling solutions for improving various existing approaches to content development and improve the quality of education, communicative skills must be incorporated in the present modern language curriculum and content development to protect the endangered Indian languages by updating the language technology. This paper analyses the challenges to present day curricular trends of Telugu language teaching and scope for the use of virtual classroom, which is the second largest spoken language in India listed in UNESCO atlas of endangered languages.
Peer Feedback in the Academic English Classroom : A Pilot Study

Past research has shown that peer feedback in a second language (L2) context is benefi cial to students. However, there is relatively information about the type of feedback that learners give and to what degree this is incorporated as revisions. The present study focuses primarily on two aspects of the revision process: the suggested revisions made by peers, and the revisions made by the writer after receiving comments from their peer. We examine feedback in terms of type (surface vs. meaning), level (word, sentence, paragraph), and whether the feedback concerns general and register-related issues. An analysis was conducted of research articles written by fi rst-year Japanese university students. The suggestions made tended to focus on non-meaningrelated issues at the word and sentence levels. The revisions made following peer feedback contained a greater proportion of those related to meaning, but also were mainly at the word and sentence levels. Both suggestions and revisions suffi ciently addressed register-related issues. Finally, revised texts were signifi cantly more complex than initial drafts, showing that through the process of peer feedback learners can and do improve the complexity of their writing.
Dividend Yields for Forecasting Stock Market Returns

This paper empirically assesses the ability of dividend yields to predict future stock returns in Germany assuming efficient markets and rational expectations. Since the order of integration of regressors are not exactly known, a bounds procedure, namely an autoregressive distributed lag (ARDL) model, is applied to test for cointegrating relationships among future stock returns and today’s dividend yield. It is also capable of dealing with the controversial issue of exogeneity of the dividend yield. ARDL and error-correction models are estimated for (future) stock returns and the dividend yield based on consistent estimates and standard normal asymptotic theory. JEL Classifications: C22, G12, G14.
Signals Sent by Financial Statement Restatements

This study examines signals sent by financial statement restatements. We hypothesize that restatements generate both information and wealth effects, and that these two effects are pronounced to a different extent in different types of restatements. The evidence shows that the wealth effect of different types of restatements differs in both timing and magnitude. Mismanagement has a negative effect on the market response to restatements for all reasons; however the effect is significant only for revenue, cost, M&A, and restructuring restatements. Restructuring and securities related restatements that are not associated with mismanagement are positively related to abnormal returns. Information effect, measured as the change in the idiosyncratic flow of information, is also heterogeneous. Securities and restructuring restatements generate positive information effect, while revenue recognition, merger and acquisitions, reclassification and multiple reason restatements mostly increase the idiosyncratic flow of information subsequent to the announcement. Companies, restatements of which have positive information effect, are much larger and are more levered. Results are mainly consistent with our hypothesis that restatements of inherently noisy items improve the precision of investors’ information set, while the restatements of precise figures increase the noisiness of investor’s information set. We gratefully acknowledge useful comments by Mine Ertugrul, Carmelo Giaccotto, Joseph Golec, Neeraj Gupta, Chester Spatt, Keith Moore and especially Karen Teitel. All mistakes remain our own.
Selection of aggregates for skid resistance January 2012

Statistical modelling was undertaken to develop a means for reliably predicting the expected in-service skid resistance of any rural section of the New Zealand state highway network surfaced with chip seal. The measure of slow-speed skid resistance used was the sideways-force coefficient routine inspection machine (SCRIM) coefficients averaged over a 10m length. The statistical modelling was based on data from the 2006–2007 high-speed condition survey of the entire New Zealand state highway network, which amounts to a sealed length of 23,113 lane km. The resulting database contains a total of 976,338 observations allowing identification of statistically significant relationships between the dependent variable (the measured in-service skid resistance) and the independent variables (road geometry, traffic characteristics and aggregate characteristics). One aggregate-related variable investigated was a categorical parameter, representing the name of the quarry from which the aggregate was sourced. This parameter inherently encompasses not only polished stone value but all other important influencing factors such as chip shape, chip hardness, mineralogical properties and crusher type. The major finding was that the categorical variable ‘aggregate source’ is a better predictor of in-service skid resistance performance than the numeric variable ‘polished stone value’. Selection of aggregates for skid resistance
C O ] 1 8 Ju l 2 01 8 The active bijection for graphs ✩

The active bijection forms a package of results studied by the authors in a series of papers in oriented matroids. The present paper is intended to state the main results in the particular case, and more widespread language, of graphs. We associate any directed graph, defined on a linearly ordered set of edges, with one particular of its spanning trees, which we call its active spanning tree. For any graph on a linearly ordered set of edges, this yields a surjective mapping from orientations onto spanning trees, which preserves activities (for orientations in the sense of Las Vergnas, for spanning trees in the sense of Tutte), as well as some partitions (or filtrations) of the edge set associated with orientations and spanning trees. It yields a canonical bijection between classes of orientations and spanning trees, as well as a refined bijection between all orientations and edge subsets, containing various noticeable bijections, for instance: between orientations in which smallest edges of cycles and cocycles have a fixed orientation and spanning trees; or between acyclic orientations and no-brokencircuit subsets. Several constructions of independent interest are involved. The basic case concerns bipolar orientations, which are in bijection with their fully optimal spanning trees, as proved in a previous paper, and as computed in a companion paper. We give a canonical decomposition of a directed graph on a linearly ordered set of edges into acyclic/cyclic bipolar directed graphs. Considering all orientations of a graph, we obtain an expression of the Tutte polynomial in terms of products of beta invariants of minors, a remarkable partition of the set of orientations into activity classes, and a simple expression of the Tutte polynomial using four orientation activity parameters. We derive a similar decomposition theorem for spanning trees. We also provide a general deletion/contraction framework for these bijections and relatives.
Do School Inspections Improve School Quality ?

Approaching the concept of democratic management in Portuguese public schools, this research focuses on the role of the School Inspection System in failing to exercise a purely inspective and bureaucratic function, starting to have a more democratic and participatory role, having in mind that any changes occur among tensions, conflicts, ambiguities, as well as the complexity inherent to the inspection activity. It focuses, in particular, the activity of Monitoring of Educational Action (MEA), which is presented as an instrument to improve the quality of service provided by schools. The aim was to know the representations of Primary School teachers and of school inspectors regarding the fundaments and methodologies of the inspection in the development of the MEA activity. The methodological option, in its qualitative nature, fell on a case study, using a survey questionnaire and semi-structured interviews as instruments for data collection. The total of 21 participants in the research is divided between teachers and school inspectors. Results show the participants ’ level of agreement and/or disagreement regarding the role of the inspection, more specifically regarding the importance and efficiency of the MEA. The tension between control and emancipation emerges in the participants’ representations, evidencing a different degree of apprehension in relation to the added value of the MEA.
When Does CEO Duality Add Value ? Evidence from a Natural Experiment

By using a natural experiment and a differences-in-differences methodology, we establish a causal relation between board leadership and firm performance. The natural experiment is an exogenous shock that increased competition and broadened market opportunities for U.S. firms. We find that, under this changing business environment, firms with combined titles of CEO and Chairman of the Board are valued 6.0% higher than firms with separate titles. Importantly, competition amplifies the positive impact of unitary leadership on firm value. Our results suggest that the relation between board leadership and firm performance is a function of the underlying firm characteristics and competitive environment. Our paper has policy implications for the growing movement towards independent board leadership.
IMPACT OF NIGERIAN CAPITAL MARKET ON ECONOMIC GROWTH AND DEVELOPMENT

This study examined the impact of Nigerian capital market on economic growth and development between 1990 and 2011. Data were collected from Security Exchange Commission reports, Nigerian Stock Exchange Review Reports, Central Bank of Nigeria Statistical Bulletin respectively and ordinary least square method of regression was used with aid of STATA version 10 software packages to analyze the data. The result showed that capital market indices have impact significantly on the GDP. The study recommends among others that government should put up measures to build up investors’ confidence in the capital market by fair transactions, increase investments instruments in the market, provide basic infrastructures and disabuse the mind of investors from buying and hold securities syndrome.
Money and the auctioneer : Assessing Walras ’ s Decentralised Exchange Process

Recent works on Walras have underlined a part of this author’s theory that had passed unnoticed, i.e. the role he gave to money as a device allowing the decentralised allocation of goods. This contradicts, at least partially, the shared idea among today’s monetary theorists who point out the difficulty to introduce money in the perfect competition framework à la Arrow-Debreu. In this paper, after having reviewed the logical construction of Walras’ price theory, we use modern monetary theory to examine Walras’ justification of the use of money as a medium of exchange. This allows us to isolate the conditions under which this introduction can lead effectively to the circulation of the medium of exchange and to discuss the consistency of the assumptions made to introduce money with those of the competitive aspects of his theory. ∗ This paper is part of a previous paper that has circulated under the title “Menger and Walras through the Modern Path of Monetary Theory: Two Conceptions of Market, Competition and Exchange”. We thank the participants to the 8 ESHET Conference at Treviso (26-29 of February, 2004) as well as participants to the MINI-FORUM (University Paris X) and the “Money, Banking and Finance” PHARE seminars for their comments on an earlier draft of this paper. We are particularly indebted to Joanna Bauvert, Carlo Benetti, Jérôme de Boyer des Rôches, Régis Breton, Pascal Bridel, Jean Cartelier, Charles Goodhart, Jimena Hurtado Prieto, Antoine Rebeyrol and Michel De Vroey for their comments, helpful remarks and criticisms. All remaining errors must be charged to the authors. a University of Paris X at Nanterre – Research Fellow at PHARE (CNRS-University of Paris I and University of Paris X) and FORUM (CNRS-University of Paris X). E-mail : andres.alvarez@u-paris10.fr b IUFM de Créteil and Research fellow at LED-EPEH (CNRS-University of Paris VIII) and FORUM (CNRSUniversity of Paris X). E-mail : vbignon@u-paris10.fr 1 In Antonelli (1953), p. 281.
Mathematical tasks: Clarification, classification and choice of suitable tasks for different types of learning and assessment

In this paper, the differences between mathematical tasks such as problem-solving tasks, investigative tasks, guided-discovery tasks, project work, real-life tasks, problem-posing tasks, open tasks and illstructured tasks will be contrasted. Such clarification is important because it can affect how and what teachers teach since the diverse types of tasks have different pedagogical uses, and it can also help researchers to define more clearly the tasks that they are investigating on. A framework to characterise the openness of mathematical tasks based on task variables such as the goal, the method, the answer, scaffolding and extension will be described. The tasks are then classified according to their teaching purpose: mathematically-rich tasks, such as analytical tasks and synthesis tasks, can provide students with opportunities to learn new mathematics and to develop mathematical processes such as problemsolving strategies, analytical thinking, metacognition and creativity; and non-mathematically-rich tasks, such as procedural tasks, can only provide students with practice of procedures. Rich assessment tasks that teachers can use to assess students’ conceptual understanding, mathematical communication and thinking processes will also be discussed. The clarification of terminologies and the classification of mathematical tasks will help teachers to understand more about the purpose and characteristics of the diverse types of tasks so that they can choose appropriate tasks to develop the different facets of their students’ mental structures and to assess the various aspects of their learning.
CONCURRENCY AND COMPUTATION : PRACTICE AND EXPERIENCE Concurrency Computat

Identifying applications and classifying network traffic flows according to their source applications are critical for a broad range of network activities. Such a decision can be based on packet header fields, packet payload content, statistical characteristics of traffic and communication patterns of network hosts. However, most present techniques rely on some sort of a priori knowledge, which means they require labor-intensive preprocessing before running and cannot deal with previously unknown applications. In this paper, we propose a traffic classification system based on application signatures, with a novel approach to fully automate the process of deriving signatures from unidentified traffic. The key idea is to integrate statistics-based flow clustering with payload-based signature matching method, so as to eliminate the requirement of pre-labeled training data sets. We evaluate the efficiency of our approach using real-world traffic trace, and the results indicate that signature classifiers built from clustered data and pre-labeled data are able to achieve similar high accuracy better than 99%. Copyright © 2010 John Wiley & Sons, Ltd.
Dynamics of high power impulse hollow cathode discharge

Fast imaging technique was used for the investigation of the plasma dynamics of a high power impulse hollow cathode discharge. The high repetition frequency provides an overlap of the plasma species ejected in subsequent pulses with those produced by the previous pulses. The plasma in front of the hollow cathode changes from a hemispherical shape during the pulse-on time, to a drop-like shape during the pulse-off time.
Self-Service Technologies: A review of Extant Knowledge and Research Agenda

With the popularity of self-service applications increasing, technological advances in the service industries have led to the transformation of service delivery, in addition, self-service technologies has become a mainstream of service encounters, and widely accepted by self-service customers. A total of 178 usable SSTs researches were selected, and we propose a chronological review of our synthesis work. Importantly, we propose a new path to illustrate self-service technologies research agenda for academics and practitioners.
Differences in platelet proteins between acute lymphoblastic leukemia and healthy children

Background: Acute lymphoblastic leukemia (ALL) is the most common malignant cancer in the childhood. The researches about the changes of platelet function in ALL are still rare, and the specific mechanism is still unknown. Due to the limited detection technology, the functions of platelet in ALL are poorly understood. Purpose: To investigate the expression difference of platelet proteins between ALL and healthy children. Methods: Twentyseven ALL children (ALL group), 25 ALL children who obtained complete remission after remission-induction therapy (ALL-CR1 group) and 27 healthy children (control group) were enrolled in this study. The surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) technique was used to obtain and analyze the whole platelet protein spectrum of each group. Results: Compared with control group, ALL group had 9 protein peaks which had the stable expression differences (P < 0.05), the mass/charge ratio (m/z) were 2496.9, 4287.9, 7881.2, 4091.3, 3149.9, 2365.1, 9414.1, 5252.3 and 2280.7, respectively. There were 6 protein peaks with the stable expression differences between the ALL group and the ALL-CR1 group (P < 0.05), and the m/z were 2496.9, 4287.9, 9414.1, 7881.2, 3149.9 and 2280.7, respectively. The differentially expressed protein peaks were analyzed as endothelin-1, big endothelin-1, PF4, thrombin light chain, pituitary adenylate cyclase activating polypeptide 27, fibrinogen β chain and 3 unknown proteins. Conclusion: There are significant differences in platelet proteome between ALL children and healthy children, and the ALL children have the platelet function abnormalities, such as the obstacle of cell signal transduction, aggregation, and abnormalities of activation and coagulation.