Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Neural Network Modeling of Synthetic Jet Flow Fields

Abstract : The purpose of this research was to continue development of a neural network-based, lumped deterministic source term (LDST) approximation module for modeling synthetic jets in large-scale CFD calculations. The LDST approximation technique developed by the author and his students was employed. The main exploration involved the grid sensitivity of the neural network model. A second task was originally planned on the portability of the approach to other solvers, but interesting developments on the first task prevented that study from being pursued.
PARALLEL COMPUTER SIMULATION OF HIGHLY NONLINEAR DYNAMICS OF POLYMER SOLUTIONS IN BENCHMARK FLOW PROBLEMS

Simulation of viscoelastic fluid flows in complex geometry at high Weissenburg (Wi) number is still a challenging problem in computational rheology. In this thesis, parallel computing toolbox available in OpenFOAM has been analysed in details. The scalability of parallel viscoelastic flow solver has been critically evaluated under benchmark flow problems, including 2D and 3D 4:1 contraction flow, 2D flow past a cylinder with 50% blockage, using up to 4096 CPU cores and 55 million computational grids. Areas for further improvements in parallel computational rheology are discussed. A new monitoring and preserving molecular conformation method is proposed to overcome the unphysical artefact problem in simulation of the FENE-CD-JS model under benchmark flow problems. It greatly enhances the stability of parallel viscoelastic flow solver in simulation of high Wi number flows and, for the first time, successfully captures elastic turbulence in flow past a cylinder problem. A new constitutive model, named as FENE-CD2-JS model, is proposed to overcome the existing shortcomings of the original FENE dumbbell model. The model accounts for high order interactions between non-equilibrium polymer chain molecules and could reproduce the asymmetric oscillatory vortex dynamics in the 16:1 contraction flow geometry at high Wi number (up to 48) flow observed in the experiments. For the first time, the analysis of the spatial distribution of non-equilibrium polymer conformation, through the conformational tensor, in strong complex flow and the results of their power-law scaling are also presented.
Kajian beberapa metode klasifikasi citra digital terhadap data penginderaan jauh

FAIZAL TEGUH MUHAMMAD. Study of Several Digital Image Classification Methods for Remote Sensing Data. Supervised by HARI WIJAYANTO and WIWEKA. Digital image classification is composed of many alternative methods that produced different levels of accuracy. This accuracy depends on several things such as training samples and the diversity of land on the appearance of the image regions studied. This study aimed to compare 4 digital image classification method which applied to areas with different land appearance diversity of the District Ciomas, District Dramaga and District Cibungbulang. Digital image classification methods that used in this study are maximum likelihood, Mahalanobis distance, artificial neural networks and support vector machine. The results of this study concluded that the maximum likelihood is the best image of image classification method of the three district chosen with the average value of overall accuracy was 91.99% and the average value of the kappa coefficient was 0.8772. In addition, support vector machine and artificial neural networks also provide good results.
Moving Mountains – The Vital Art of Persuasion from Jesus

In this paper, drawing from the timeless lessons of the world’s greatest influencer – the man from Galilee, Jesus Christ, the practitioner-academician author looks into the necessary art of persuasion of Jesus Christ in which as leaders, we can derive and wield influence. And readers can also learn how as a leader, Jesus was convincing, being able to raise his influence among His disciples and the people. Using various examples, the article attempts to examine Jesus’ various persuasive ways in a rather rational and objective fashion. Whether you’re a CEO of a Fortune 500 company, a public-listed company or a newly hired corporate leader, reflective questions are applied to give the impetus, if not, provoke you to achieve in the workplace using the key principles drawn.
Understanding English as a Lingua Franca

The spread of English as the international lingua franca (ELF), like other aspects of globalization, calls for a reconsideration of conventional ways of thinking. As the language is taken over and put to effective communicative use by non-native speakers on a global scale, assumptions that native speakers have exclusive property rights, and are the arbiters of its proper use, are obviously no longer tenable. ELF typically departs from native speaker usage in a variety of ways, but in ways which are consistent with the kind of variation that is evident in any natural language. This book argues that ELF needs to be understood as an adaptable and creative use of language in its own right, and not as a deviant or erroneous version of native speaker English. It demonstrates how its 'non-conformist' formal features are functionally motivated by the dynamics of communicative interaction. In this respect, ELF is of particular relevance to the sociolinguistic study of language variation in general. But as the book points out, this reconceptualization of 'English' also has important pedagogic implications since it raises questions about what kind of language content and what kind of communicative capability it is appropriate and realistic to teach as a subject.
Native Speaker Criteria in CPH Research : Why Does It Matter?

This paper overviews the native speaker criterion used as a yard stick in language acquisition especially in the context of Critical Period Hypothesis (CPH) research. First, it identifies the contradiction that the criterion has been used extensively even though the validity of the criterion has been acknowledged to be infirm. Second, it refers the logic that is used to explain the difference between the L2 ultimate attainment and L1: the L2 speaker has multicompetence and the L1 speaker exhibits monocompetence. Third, three practical problems related to the use of the criterion are focused upon: definition of the native speaker, validity in testing, and switching from L2 to L1. Finally, an alternative criterion is discussed. 臨界期仮説の研究において,ネイティブスピーカーが第2言語話者の言語能力の判定基準として使わ れてきた。 研究者の多くは,その基準を使用することに問題があると指摘しているにもかかわらず,未 だにその傾向は大きく変わることがない。 本稿では,その矛盾に関して次の4点を中心に考察する。 1)臨界期仮説の研究におけるネイティブスピーカーの基準使用についての背景。 2)ネイティブスピ ーカーと第二言語話者の言語能力の違い。 3)基準使用に関する問題点。 4)新たな基準の可能性。
Adaptive Enhancement of routing protocol under CBR and TCP traffic source

The main objective of this article is to study and enhance on demand routing protocol under different traffic consideration so that our proposed routing protocol give an better result then other reactive and proactive routing protocol . we used TCP and CBR based traffic to analyze the above said protocol based on the basis of Average end-to-end delay and Number of data packet received. We will investigate how proposed algorithms are for routing in MANET will behave under highly congested network. This paper also results the comparison graph of Enhanced-AODV, AODV, DSR, DSDV done on ns2.
Feature-based procedural generation of adjustable game content

This paper describes a method, for procedural content generation, allowing alteration of object during generation process, as well as further modifications of object after it was created. Most of existing algorithms either require adjustment of unintuitive data and parameters, or don’t allow for further alteration of created object. Such outcomes are unsatisfactory for most of game designers. We offer our solution for this problem and identify some possible future directions of our research.
Investigating how Distributed Computation Pruning performs on the Generalized Linear Preference model

Finding all shortest paths in a distributed dynamic network has many practical applications, but it is perhaps most important in network routing. To this end a number of algorithms and techniques have been developed. This paper investigates one such technique called Distributed Computation Pruning (DCP), that utilizes a property found in many real-world networks, including the Internet, called Power Law degree distribution. DCP has previously been shown to improve All Pairs Shortest Paths algorithms on networks generated by the Barabasi-Albert model. In this paper we extend the experimental evidence by evaluating the performance of algorithms combined with DCP on networks generated by the Generalized Linear Preference model (GLP). This model has previously been shown to generate networks that are more representative of the Internet than those generated by previous models. We found that algorithms that are combined with DCP see a distinct decrease in the amount of messages sent across the network, suggesting that DCP is a viable technique for improving existing routing algorithms.
A Strategy for the Acquisition of Problem-Solving Expertise in Humans: A Systems Approach.

The acquisition of expertise involves the adoption of a between-systems problem-solving approach. A between-systems problem-solving approach involves (1) category restructuring; (2) analogy formation; and (3) solution construction using symmetrical and asymmetrical mapping information. Category restructuring permits the expert to reframe the initial problem state. Reframing the problem leads to the formation of analogical functional and complementary connections between category members. The identification of symmetrical and asymmetrical mappings determines the extent to which information from -An analogous system can be borrowed with or without modification, and subsequently incorporated into a problem solution. (Contains 25 references and 2 figures.) (Author) ******************************************************************** * Reproductions supplied by EDRS are the best that can be made from the original document. * *********************************************************************** Acquisition of Expertise CY 0 CY LI S. DEPARTMENT OF EDUCATION Once ol Educational Research and improvement Ns EDUCATIONAL RESOURCES INFORMATION IN CENTER (ERIC) Ft) Miha document has been reproduced as received from the person Or organotabon 0 ongtnattng It W 0 Mono, changes have been made to improve teeroduCloon Quality Points Of new 0 OiNntonS Stated tn thtsdocu merit do not necessarily represent oflictat OERI posaion or policy 1 "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC). " A STRATEGY FOR THE ACQUISITION OF PROBLEM-SOLVING EXPERTISE LK HUMANS: A SYSTEMS APPROACH.
Theory, method, and practice in computer content analysis

Introduction Theory In Praise of Dumb Clerks by Robert L. Stevenson Historical Foundations of Computer-Assisted Content Analysis by Donald L. Diefenach Redeveloping DICTION: Theoretical Considerations by Roderick P. Hart Frame Mapping: A Quantitative Method for Investigating Issues in the Public Sphere by Mark Miller and Bonnie Parnell Reichert Toward a Typology and Theoretical Grounding for Computer Content Analysis by Mark D. West and Linda K. Fuller Method Computer Content Analysis and Manual Coding Techniques: A Comparative Analysis by Alf Linderman Pre-Assessment of Scale Reliability: A Computer Content Analysis Approach by Donald G. McTavish Probabilistic Classifiers for Tracking Point-of-View by J.M. Wiebe and R.F. Bruce Practice New Methods of Content Analysis in Education, Evaluation, and Psychology by Herbert J. Walberg, Gretchen W. Arian, Susan J. Paik, and John Miller The Future of Computer Content Analysis: Trends, Unexplored Lands, and Speculations by Mark D. West Author Index Subject Index
Advanced research in VLSI and parallel systems : proceedings of the 1992 Brown/MIT conference

Part 1 Circuits and devices: innovative electrical circuits optical computing automated semiconductor manufacturing wafer-scale systems. Part 2 Design Automation: synthesis and silicon compilation layout and routing analysis and simulation novel design methods architectural design support design for test. Part 3 VLSI architecture: highly parallel architectures special-purpose VLSI chips and systems novel small-scale systems I/O and secondary storage packaging and fault tolerance. Part 4 Software systems: architecture-driven programming models parallel languages compiling for concurrency operating systems synchronization. Part 5 Theory: parallel algorithms VLSI theory ayout and wireability analysis I/O complexity interconnection networks reliability.
Head-Driven Bidirectional Parsing: A Tabular Method

Tabular methods for context-free language analysis [Graham and Harrison, 1976, Graham et al., 1980], and in particular Earley's Algorithm [Earley, 1970], can be considered a major reference for natural language parsing. Even if independently conceived, Earley's Algorithm constitutes the basis for Chart parsing [Kay, 1980, Kaplan, 1973]. One basic aspect o f known tabular methods, i.e. that the analysis proceedes m onodirectionally, is a relevant limitation, that, although reasonable for artificial languages, seems reductive for natural language. A strong reason for a bidirectional approach within natural language analysis is that modem theories o f grammar emphasize the role o f a particular element inside each constituent (phrase), called the head; this element carries categorial as well as thematic information about other elements within the constituent. It turns out that the acceptability and the general skeleton of each constituent, crucially depend on such information. More concretely, a number o f possible partial interpretations would be pruned out earlier, on the basis o f functional information attached to the head, resulting in greater efficiency. Some recent works in the framework o f Chart parsing [Steel and De Roeck, 1987, Stock et al., 1989] have pointed out the importance of bidirectionality for natural language analysis. Another work that deals with some form of bidirectionality [Bossi et a l . , 1983] can be found in the formal language literature, though the analysis given there presupposes Chomsky normal form grammars. In this paper we shall introduce a tabular method coinceived for bidirectional contextfree parsing, discuss some o f its relevant properties and through an example give an idea o f how the algorithm works.
Beitrag zur Kenntnis der Tineiden-Fauna des Mittelmeerraumes.

Es werden die Ergebnisse der Bearbeitung zahlreicher Sammlungsausbeuten aus den Landern des Mittelmeerraumes vorgestellt. Das untersuchte Material gab Anlass zur Beschreibung von sechs neuen Arten (Neomessia lobata, Infurcitinea maroccana, Rhodobates canariensis, Reisserita pseudoranella, R. parva, Fermocelina maroccana) und der neuen Gattung Metatinea fur immaculatella Rebel und nana Petersen. Die bisher unbekannten weiblichen Genitalien von Infurcitinea italica Amsel und Cephimallota vittatella (Chretin) werden beschrieben. Die bisher in der Gattung Paratinea stehende irakella Petersen wird in die Gattung Ceratobia Zagulajev gestellt. Die folgenden Synonymien wurden erkannt: Infurcitinea raetica Zagulajev, 1974 = I. albicomella (Herrich-Schafer, 1851); I. zernyi Zagulajev, 1974 = I. atrifasciella Staudinger, 1870; Lichenotinea pustulatella igaloensis Amsel, 1951 = L. pustulatella (Zeller, 1852); Fermocelina antipai Zagulajev, 1972 = F. inquinatella (Zeller, 1852); F. occidentalis Zagulajev, 1972 = F. cubuculella algiricella (Rebel, 1901); Tinea ? pustulatella Lucas, 1942, nec Zeller, 1852 = Hapsifera luridella Zeller, 1847.Nomenklatorische Handlungenantipai Zagulajev, 1972 (Fermocelina), syn. n. of Fermocelina inquinatella (Zeller, 1852)maroccana Petersen & Gaedike, 1979 (Fermocelina), spec. n.occidentalis Zagulajev, 1972 (Fermocelina), syn. n. of Fermocelina cubiculella algiricella (Rebel, 1901)maroccana Petersen & Gaedike, 1979 (Infurcitinea), spec. n.immaculatella (Rebel, 1892) (Metatinea), comb. n. hitherto Tinea immaculatellalobata Petersen & Gaedike, 1979 (Neomeessia), spec. n.parva Petersen & Gaedike, 1979 (Reisserita), spec. n.pseudoranella Petersen & Gaedike, 1979 (Reisserita), spec. n.canariensis Petersen & Gaedike, 1979 (Rhodobates), spec. n.pustulatella Lucas, 1942 (Tinea), syn. n. of Hapsifera luridella Zeller, 1847igaloensis Amsel, 1951 (Tinea pustulatella), syn. n. of Lichenotinea pustulatella (Zeller, 1852)Metatinea Petersen & Gaedike, 1979 (Tineidae), gen. n.
Algorithms for Autonomous Personal Navigation Systems

Personal positioning is a challenging topic in the area of navigation mainly because of the cost, size and power consumption constraints imposed on the hardware. Satellite based positioning techniques can meet the requirements for many applications, but cover well only outdoor environment. Problems like weak satellite signals make the positioning impossible indoors. Urban canyons are also difficult areas for GNSS based navigation because of large multipath errors and satellite signal outages. Many applications require seamless positioning in all environments. However, there is no overall solution for navigation in GNSS denied environment, which is reliable, accurate, cost effective and quickly installed. Recently developed systems for indoor positioning often require pre-installed infrastructure. Another approach is to use fully autonomous navigation systems based on self-contained sensors and street or indoor maps. This thesis is concerned with autonomous personal navigation devices, which do not rely on the reception of external information, like satellite or terrestrial signals. The three proposed algorithms can be integrated into personal navigation systems. The first algorithm computes positioning for a map aided navigation system designed for land vehicles traveling on road network. The novelty is in application of particle filtering to vehicle navigation using road network database. The second algorithm is aimed at map aided vehicle navigation indoors. The novelty is in the method for correction of position and heading. The third algorithm computes solution for pedestrian navigation system, which is based on body mounted inertial measurement unit and models of human gait.
Corpus pragmatics : a handbook

Introduction. Corpus pragmatics: laying the foundations Christoph Ruhlemann and Karin Aijmer Part I. Corpora and Speech Acts: 1. Speech acts: a synchronic perspective Paula Garcia McAllister 2. Speech acts: a diachronic perspective Thomas Kohnen 3. Speech act annotation Martin Weisser Part II. Corpora and Pragmatic Principles: 4. Processibility Gunther Kaltenbock 5. Relevance Gisle Andersen 6. Politeness Giuliana Diani Part III. Corpora and Pragmatic Markers: 7. Pragmatic markers Karin Aijmer 8. Stance markers Bethany Gray and Douglas Biber 9. Interjections Neal Norrick Part IV. Corpora and Evaluation: 10. Evaluative prosody Alan Partington 11. Tails Ivor Timmis Part V. Corpora and Reference: 12. Deixis Christoph Ruhlemann and Matthew Brook O'Donnell 13. Vagueness Winnie Cheng and Anne O'Keeffe Part VI. Corpora and Turntaking: 14. Turn management and pauses Gunnel Tottie 15. Turn management and backchannels Pam Peters and Deanna Wong 16. Co-constructed turntaking Brian Clancy and Michael McCarthy.
Text comparison and digital creativity: The production of presence and meaning in digital text scholarship

In fourteen thoughtful essays this book reports and reflects on the many changes that a digital workflow brings to the world of original texts and textual scholarship, and the effect on scholarly communication practices. The spread of digital technology across philology, linguistics and literary studies suggests that text scholarship is taking on a more laboratory-like image. The ability to sort, quantify, reproduce and report text through computation would seem to facilitate the exploration of text as another type of quantitative scientific data. However, developing this potential also highlights text analysis and text interpretation as two increasingly separated sub-tasks in the study of texts. The implied dual nature of interpretation as the traditional, valued mode of scholarly text comparison, combined with an increasingly widespread reliance on digital text analysis as scientific mode of inquiry raises the question as to whether the reflexive concepts that are central to interpretation - individualism, subjectivity - are affected by the anonymised, normative assumptions implied by formal categorisations of text as digital data.
A reliable neural network-based decision support system for breast cancer prediction

Axillary lymph node (ALN) metastasis status is an important prognostic marker in breast cancer and is widely employed for tumour staging and defining an adjuvant therapy. In an attempt to avoid invasive procedures which are currently employed for the diagnosis of nodal metastasis, several markers have been identified and tested for the prediction of ALN metastasis status in recent years. However, the nonlinear and complex relationship between these markers and nodal status has inhibited the effectiveness of conventional statistical methods as classification tools for diagnosing metastasis to ALNs. The aim of this study is to propose a reliable artificial neural network (ANN) based decision support system for ALN metastasis status prediction. ANNs have been chosen in this study for their special characteristics including nonlinear modelling, robustness to inter-class variability and having adaptable weights which makes them suitable for data driven analysis without making any prior assumptions about the underlying data distributions. To achieve this aim, the probabilistic neural network (PNN) evaluated with the . 632 bootstrap is investigated and proposed as an effective and reliable tool for prediction of ALN metastasis. For this purpose, results are compared with the multilayer perceptron (MLP) neural network and two network evaluation methods: holdout and cross validation (CV). A set of six markers have been identified and analysed in detail for this purpose. These markers include tumour size, oestrogen receptor (ER), progesterone receptor (PR), p53, Ki-67 and age. The outcome of each patient is defined as metastasis or non-metastasis, diagnosed by surgery. This study makes three contributions: firstly it suggests the application of the PNN as a classifier for predicting the ALN metastasis, secondly it proposes a the . 632 bootstrap evaluation of the ANN outcome, as a reliable tool for the purpose of ALN status prediction, and thirdly it proposes a novel set of markers for accurately predicting the state of nodal metastasis in breast cancer. Results reveal that PNN provides better sensitivity, specificity and accuracy in most marker combinations compared to MLP. The results of evaluation methods’ comparison demonstrate the high variability and the existence of outliers when using the holdout and 5-fold CV methods. This variability is reduced when using the . 632 bootstrap. The best prediction accuracy, obtained by combining ER, p53, Ki-67 and age was 69% while tumour size and p53 were the most significant individual markers. The classification accuracy of this panel of markers emphasises their potential for predicting nodal spread in individual patients. This approach could significantly reduce the need for invasive procedures, and reduce post-operative stress and morbidity. Moreover, it can reduce the time lag between investigation and decision making in patient management. To my beloved parents and brother