Miracle-dz/UniFAR-FTUs huggingface dataset:
Reducing sedentary time and fat mass may improve glucose tolerance and insulin sensitivity in adults surviving 6 months after stroke: A phase I pilot study

Introduction Deranged glycaemic control is common post-stroke, increasing risks of recurrent stroke and development of diabetes. The aim of the study is to examine glucose metabolism in relation to body composition, physical activity and sedentary time post-stroke. Patients and methods Observational study: Non-diabetic adults, unable to walk independently, were recruited within 2 weeks of first stroke. Primary outcome: 2-h glucose level (mmol/l, oral glucose tolerance test), assessed at baseline and 6 months. Homeostasis Model Assessment of Insulin Sensitivity, total body fat and lean mass (dual energy X-ray absorptiometry), sedentary time (lying or sitting), standing and walking (PAL2 accelerometer) were assessed at baseline, 1, 3 and 6 months. Generalised estimating equations were used to examine change over time and associations between outcome measures. Results Thirty-six participants (69.5 years (standard deviation 11.7), 13 (36.1%) female, moderate stroke severity (National Institute of Health Stroke Scale 11.5 (interquartile range 9.75, 16)). Within 6 months, adjusting for age and National Institute of Health Stroke Scale, every month 2-h glucose reduced by 4.5% (p < 0.001), Homeostasis Model Assessment of Insulin Sensitivity improved 3% (p = 0.04) and fat mass decreased 490 g (95% confidence interval 325, 655; p = 0.01). For every extra kilogram of body fat, 2-h glucose increased by 1.02 mmol/L (95% confidence interval 1.01, 1.02; p = 0.001); Homeostasis Model Assessment of Insulin Sensitivity reduced by 0.98% (95% confidence interval 0.97, 0.99; p = 0.001). Time spent sedentary reduced from 98.5% of measurement period (interquartile range 94.3, 99.8) to 74.3% (interquartile range 65.5, 88.6), by 2.8% monthly (95% confidence interval 1.8, 3.9, p < 0.001). For every additional 5% sedentary time, 2-h glucose increased by 1.05 mmol/L (95% confidence interval 1.04, 1.07; p < 0.001). Conclusion Reducing sedentary time and fat mass within 6 months of stroke may improve glucose tolerance and insulin resistance.
Advancing Computational Thinking and Knowledge Development in a 3D Virtual Simulation.

The paper is a description of the continuing research of the efficacy of a 3D virtual world simulation to support more engaged academic practice and transformative learning in Higher Education. Within the context of a virtual Fukushima nuclear power plant, tasks of quantifiable complexity are designed using programmable robots to engage learners in robot-mediated interactions in both real and virtual worlds. The paper will demonstrate that the use of a 3D virtual simulation to facilitate the collaborative programming of robots provides opportunities for students to engage in professional interactions, constructionist learning, computational thinking and knowledge development. Keywords— computational thinking; knowledge; learning; constructivism; Oculus Rift; robots; Japan
Recognition of Bullet Holes Based on Video Image Analysis

The technology of computer vision is used in the training of military shooting. In order to overcome the limitation of the bullet holes recognition using Video Image Analysis that exists over-detection or leak-detection, this paper adopts the support vector machine algorithm and convolutional neural network to extract and recognize Bullet Holes in the digital video and compares their performance. It extracts HOG characteristics of bullet holes and train SVM classifier quickly, though the target is under outdoor environment. Experiments show that support vector machine algorithm used in this paper realize a fast and efficient extraction and recognition of bullet holes, improving the efficiency of shooting training.
A new space-repetition code based on one bit feedback compared to alamouti space-time code

Alamouti space-time code for two transmit antennas is most attractive due to simplicity of its encoding and decoding algorithms. However, it does not provide any coding gain. This paper proposes a new space-repetition code for two transmit antennas and one receive antenna based on one bit feedback. This can provide a relatively significant coding gain while it's encoding and decoding complexity is less than Alamouti code. Although the orthogonal design theory does not satisfy, the new code achieves maximum transmit diversity. Even if the reverse channel is not reliable, the performance of the new code still remains better than that of the Alamouti code. All the above advantages are achieved while preserving spectral efficiency with respect to Alamouti code. The only price paid for these advantages is one bit feedback from the receiver to the transmitter which can be easily returned with the ACK signal to the transmitter. Energy computations are also presented and it is shown that the new code can save energy compared to Alamouti code.
TRACKING SEARCH CONTEXT: A META HEURISTIC USER SEARCH SESSION EXPLORATION APPROACH

This research application suggests elevating a search query log evaluation by enchanting into account the conceptual attributes of query provisions. We first illustrate a strategy for removing a conceptual description of a search query log after which reveal how we will utilize it to comparatively extract outcomes without ambiguity. The notion relation is consisting of set provisions consistent collectively concept relations as well as of a function to determine the concept spacing between provisions, which even more called as TF (term frequency). We then drain TF with feedback sessions, which we construct upon click using logs. Furthermore, a query terminology clustering algorithm is used on the log description to extract user pursuits.
Handling Ambiguities in Sindhi Named Entity Recognition (SNER)

Natural language processing is considered the least advanced field of artificial intelligence and the main reason is the challenges in form of differences of accent, variations in script and other problems. A working Sindhi Named Entity recognition impose a challenging task, ambiguity; where the word can be a name of person and the day of the week. It is very hard to understand the difference between two meanings whereas the word is same in writing as well as in pronunciation. This research work presents the handling of ambiguities in Sindhi Entity Recognition (SNER). A rule based approach with the help of indexing has been used to handle ambiguities in SNER. The Sindhi Entity Recognition System recognizes ambiguous words of Sindhi language and produces corresponding meaning successfully. The SNER system clearly understands from the sentence and produces the accurate meaning corresponding to the ambiguous word and its available meaning.
A Neural Network Based Speech Recognition System

Abstract : This report presents an overview of the development of a neural network based speech recognition system. The two primary tasks involved were the development of a time invariant speech encoder and a pattern recognizer or detector. The speech encoder uses amplitude normalization and a Fast Fourier Transform to eliminate amplitude and frequency shifts of acoustic clues. The detector consists of a back-propagation network which accepts data from the encoder and identifies individual words. This use of neural networks offers two advantages over conventional algorithmic detectors: the detection time is no more than a few network time constants, and its recognition speed is independent of the number of the words in the vocabulary. The completed system has functioned as expected with high tolerance to input variation and with error rates comparable to a commercial system when used in a noisy environment. Keywords: Artificial intelligence; Neural networks: Back propagation; Speech recognition.
Joint Solution for the Online 3D Photorealistic Mapping Using SfM and SLAM

This paper proposes a novel hybrid solution of SfM (Structure from Motion) and SLAM (Simultaneous Localization And Mapping) for the online generation of a 3D photorealistic map. As it is well known, the SfM can generate a 3D photo map, but it is difficult to get the real-scale as well as to build an online map (i.e., the map cannot be generated on the fly). In contrast, while SLAM frameworks are suitable for online real-scale mapping, they are not adequate for 3D photo map generation. To create a synergy effect, the proposed method combines SfM and SLAM. The way of combination is to use SfM for the generation of local maps and to utilize SLAM for a fusion of local maps in a globally consistent manner. Experimental results show that the proposed hybrid approach enables online 3D photorealistic mapping.
The Origins of Criticism: Literary Culture and Poetic Theory in Classical Greece

PREFACE ix ABBREVIATIONS xiii INTRODUCTION Defining Criticism from Homer to Aristotle 1 PART I ARCHAIC ROOTS OF CLASSICAL AESTHETICS 23 ONE Table Talkand Symposium 25 TWO Xenophanes and the "Ancient Quarrel" 46 THREE Allegory and the Traditions of Epic Interpretation 67 PART II: THE INVENTION OF POETRY 91 FOUR Song and Artifact: Simonidean Monuments 93 FIVE Singer and Craftsman in Pindar and Bacchylides 113 SIX The Origin of the Word "Poet" 131 PART III: TOWARD A THEORY OF POETRY 159 SEVEN Materialist Poetics: Democritus and Gorgias 161 EIGHT Literary Culture and Democracy: Poets and Teachers in Classical Athens 188 NINE Literary Culture in Plato's Republic :The Sound of Ideology 209 PART IV LITERARY THEORY IN THE FOURTH CENTURY 227 TEN The Invention of Literature: Theories of Prose and the Theory of Poetry 229 ELEVEN Laws of Poetry: Genre and the Literary System 250 TWELVE The Rise of the Critic: Poetic Contests from Homer to Aristotle 272 EPILOGUE 294 BIBLIOGRAPHY 297 INDEX OF PASSAGES ISCUSSED 331
Gesichtserkennung in Bildern und Videos mit Hilfe von Eigenfaces

In dieser Arbeit wird ein System vorgestellt, um Gesichter von Personen in Graustufenbildern zu lokalisieren und die Gesichter dann mit gespeicherten Charakteristika anderer Gesichter zu vergleichen. Der Ansatz, der hierzu verwendet wurde, behandelt die Gesichtserkennung als echtes zweidimensionales Erkennungsproblem, und greift nicht auf dreidimensionale Geometrie zuruck. Auserdem wurde ausgenutzt, dass Gesichter in Bildern normalerweise aufrecht auftreten und somit durch eine kleine Anzahl von zweidimensionalen Charakteristika beschrieben werden konnen. Das System funktioniert, indem Gesichter in einen Eigenschaftenraum projiziert werden, der aus den wichtigsten Bestandteilen bekannter Gesichter aufgespannt wird. Diese aussagekraftigen Bestandteile werden Eigenfaces genannt, weil sie die Eigenvektoren (Hauptbestandteile) der Menge von Gesichtern sind, die als Lernmenge angegeben wurde. Die Eigenvektoren entsprechen jedoch nicht unbedingt den, aus dem menschlichen Blickwinkel, wichtigen Eigenschaften eines Gesichtes, wie Augen, Ohren und Nasen. Eine Projektion des Ursprungsbildes in den Gesichtsraum wird durch die gewichtete Summe der Eigenschaften der Eigenfaces charakterisiert. Eine Erkennung eines bestimmten Gesichtes erfolgt durch einen Vergleich der Gewichtsvektoren mit Gewichtsvektoren bereits bekannter Gesichter.
An Evaluation of .NET and Java

The aim of this document is to examine the Microsoft . NET Framework compared it with Sun’s Java. The latest version of Microsoft’s programming suite, Visual Studio, incorporates a new foundation known as the . NET framework. It is designed partly as a way of removing the device dependence of the programs that use it (as with Java). The differences in specification from Java mean that systems are going to have different strengths and weaknesses. This document examines the difference between the structural features of both systems and evaluates the effect of these differences on the efficiency of the produced applications. The effect on the efficiency of a development team using the system caused by the differences in some of the important libraries is also examined. As part of this, the common language infrastructure of . NET is also examined and the (potential) use of multiple languages in . NET and Java investigated. An objective of this report is to draw conclusions as to the strengths of each platform, and these are drawn together with those gained as an example application is produced in each system. The sample application was designed to contain as many of the important features as possible and to reflect a real-world enterprise application. This was then created in both . NET and Java to examine the usability of each. The criteria used to evaluate the development process for these applications were decided and conclusions drawn from them in addition to the overall experiences with each system. The final conclusions are then summarised. It was found that . NET is the step forward from Java. The basic system is more comprehensive and easier to use. Generally, . Net is easier to use, largely as Java has become fragmented, with all the add-ons. The report defines a number of attributes for the frameworks, such as reusability, compatibility, portability, and so on. The results of this appraisal, is that, in most cases, . NET provides a better system than Java. Java, though, scores well in its costs and compatibility, while . NET does well in team working, documentation, speed of code, and reusability. Paul McIntyre, 2002 4 -
Design of interface modules for flexible coupling of finite element codes with solvers of linear equations

This paper presents the design of flexible interfaces between finite element (FE) codes and solvers of linear equations. The main goal of the design is to allow for coupling FE codes that use different formulations (linear, non-linear, time dependent, stationary, scalar, vector) and different approximation techniques (different element types, different approximation spaces - linear, higher order, continuous, discontinuous, h- and hp-adaptive) with solvers of linear equations that use different storage formats for sparse system matrices and different solution strategies (such as, e.g., reordering of degrees of freedom (DOFs), multigrid solution or preconditioning for iterative solvers, frontal and multi-frontal strategies for direct solvers). Suitable data structures associated with the design are presented and examples of algorithms related to the interface between the FEM codes and linear solvers, together with their execution time and performance estimates, are described.
Human-Robot Interaction Experiments: Lessons learned

This paper presents lessons learned in designing and performing human-robot interaction experiments based on our work. We present work in adapting techniques from other disciplines, developing new study designs, methods for results analysis, and presentation of the results. We discuss both successful and unsuccessful study methods in an attempt to pass on what we have learned to the HRI community.
Malignant tumors of the skin

Basal cell carcinomas squamous cell carcinoma and its precursors - clinical biology and molecular basis the biology of melanoma melanoma - clinical considerations the treatment of melanoma keratoacanthoma xeroderma pigmentosa cutaneous T-cell lymphoma HTL V-related lymphomas cutaneous B-cell lymphoma malignant adnexal tumors sarcomas of the skin Kaposi's sarcoma mast cell tumours histiocytic tumors Langerhans cell histiocytosis Paget's disease - mammary and extramammary skin tumors associated with immunosuppression skin tumors in children metastatistic tumors laser treatment and photodynamic therapy in skin cancer radiotherapy Moh's micrographic surgery extracorporeal photochemotherapy spontaneous regression.
Nadine Gordimer's the pickup and the desert romance tradition in post/colonial Anglophone fiction

Abstract The paper shows how Nadine Gordimer's novel The Pickup can be read as a radical reworking of the traditions of romance, most specifically of the colonial desert romance. E M Hull's novel The Sheik is discussed in order to highlight key patterns of this genre, particularly with reference to Rachel Blau DuPlessis’ distinction between the female protagonist as hero or heroine. Whilst The Sheik begins by introducing the figure of Diana Mayo as a female hero on a quest for freedom from the constrictions of British patriarchy in the Algerian desert, by its conclusion the narrative has been androcentrically and colonially reconfigured so that Sheik Ahmed Ben Hassan and his complex identity has become the centre of the narrative; moreover, the desert has become part of the narrative orchestration of this masculine centre. By contrast, in The Pickup, the female protagonist Julie Summers increasingly becomes the centre of the narrative in contrast to her husband Ibrahim, who is estranged from his desert homeland in his restless desire to become part of the world of western cities and affluence. Gordimer's novel gives the desert a polyvalent role, representing it, in contrast to human civilization, as temporally transcendent, but also as a mundane space adjacent to the debris of the everyday world, with which Julie becomes increasingly more familiar. In finally deciding not to obey her husband and accompany him on his migratory quest to the USA, Julie opts to stay with the desert and the community of relations she has established with Ibrahim's family, thus fully abandoning her role as heroine in a romance‐centred plot.
Applying machine learning to the prediction of defaults in loans

The goal of this thesis is to compare the predictive performance of several machine learning algorithms in their capability to predict defaults in loans. This is done to comeupwithvaluableinformationaboutwhichalgorithmsaremostsuitableforthis task. Such information is required before machine learning can be implemented in practice to predict defaults. To determine the performance, several algorithms that can be used to classify samples have been implemented. Those are used to predict the defaults and the performance of each of the algorithms is measured.
Family Factors and Mediators of Substance Use Among African American Adolescents

This study uses a sample of 424 African American 8th- and 12th-grade students (mean age = 16.55; 65.1% girls) in the United States to examine how family protective factors explain cultural and school protective factors that prevent substance use. Questionnaires were administered between 2007 and 2009. Using structural equation modeling, results indicated that cultural and school factors partially mediated the relationship between family factors and lifetime substance use. School factors fully mediated the relationship between cultural factors and lifetime substance use. The findings suggest that parents promote cultural attributes, which in turn promotes school achievement, and in turn contributes to lower substance use. Limitations of the study, and implications for future research and prevention programs are discussed.
WEB BASED EDUCATIONAL SOFTWARE FOR ARTIFICIAL NEURAL NETWORKS

Artificial Neural Networks (ANN) is an important data processing algorithm for students, researches, scientist, mathematicians, academicians and engineers which is inspired by human brain and human brain’s learning methods. Complex nature and mathematical structures of ANN makes it difficult to learn. Due to this reason, new methods have to be employed to teach ANN. In this study, we design and develop web based educational software which combines advantages of examined works to teach artificial neural networks with the support of multimedia course content. In addition, relevant studies such as Neuro-Lab, EasyLearnNN, NeuroFuzz and related most popular professional commercial tools such as MATLAB, Statistica, Mathematica, NeuroSolutions, JOONE are also examined. Developed software will help researchers from students to scientist to train, test an ANN model and understand fundamentals of ANN.
An e-Examination for the Future Generation

Objective: To overcome the shortages of the existing online examination system, an advance e-examination system is designed with two new features i.e., Live Video Recording and voice answer submission system. Methods/Statistical Analysis: To check the insufficiency in the existing system, an online survey has been conducted for different age groups. Based on the response from the survey, the two advance features are added. This advanced system is designed in such a way that it will be helpful and convenient for both examiners and examinee. Findings: After implementation of the live video recording system, the examiner can take exam from anywhere and check the video to find if the candidate has tried for malpractice. Also, the candidates who are not able to type the answer can submit their answer by recording their voice. These two features will be convenient for both. Application/Improvement: The proposed system is experimentally tested on server and the results shows that the advanced online examination system is better than the existing online examination system.
Knowledge quality

This paper presents the theoretical underpinnings and measures employed in the assessment of knowledge quality. It aims to identify a conceptual and operational measure of knowledge quality within the context of an e-learning environment. The review is conducted in two phases. First, the conceptual and operational measures of knowledge quality are explained based on the epistemic concept of the essence of knowledge and the knowledge hierarchy structure. Next, a detailed analysis of the dimensions measuring data quality (DQ), information quality (IQ), and knowledge quality (KQ) in 33 studies ranging from research on information systems (IS), to knowledge and information management, e-learning, and data warehouses is presented. Minimal biased methods were used to acquire the literature for this review. The findings reveal that there is an evident lack of research in measuring KQ based on a definite conceptual understanding of the hierarchical structure of knowledge. Furthermore, researchers’ repeated use of the DQ and IQ dimensions to measure KQ has failed to develop a reliable KQ measure. Subsequently, an operational view of KQ is proposed with six distinct dimensions: Adaptable, Applicable, Expandable, True, Innovative, and Justified. This proposed KQ model that is based on the hierarchical structure of knowledge; it identifies the dimensions distinct to the KQ construct. It may be useful for the conceptualization and measure of KQ in various information environments, including e-learning and IS. The proposed model provides a more explicit way to conceptualize and measure the KQ construct by acknowledging that it is an extension of the IQ construct but with distinct and unique dimensions.
Allometric Scaling Factors for Oxygen Uptake during Exercise in Children

This study was designed to examine the relationship between oxygen consumption and both body surface area and body mass in children to determine what allometric scaling factors from these variables provide appropriate means of expressing data for this population. These scaling factors were then compared to exponents based on theoretical and animal models to determine if the same relationships were present. Forty-two children (21 boys and 21 girls) 7 to 9 years of age participated in maximal and submaximal treadmill testing. The submaximal VO2 to body size relationship proved to be a more appropriate factor to use when scaling VO2 than the relationship seen between body size and VO2max. Therefore, in this population of children, VO2 relative to body surface area or body mass to the power 0.67, demonstrated submaximally, provided a more appropriate means of data expression both statistically and physiologically than the traditional expression of VO2 relative to body mass (ml·kg−1·min−1).