Miracle-dz/UniFAR-FTUs huggingface dataset:
A Formal Rewriting Logic Semantic Definition of Scheme

This paper presents a formal definition of Scheme (based on the informal definition given in the RRS report [12]). The definition is purely equational, so it can be regarded as an algebraic denotational specification with an initial model/algebra semantics of Scheme. Moreover, it is executable, in the sense that equations can be oriented from left-to-right into rewrite rules and thus giving an operational semantics of Scheme as well; this way, an interpreter for Scheme is obtained for free by just executing the presented Scheme definition on term rewrite engines. Maude is used in this paper, but other equational engines could have been used as well. The definition in this paper is the most complete formal definition of Scheme that we are aware of and can play two important roles: as a formal definition of Scheme complementary to the informal one in the RRS report, and as a platform for experimentation with variants and extensions of Scheme, for example concurrency. This work is part of the rewriting logic semantics project, whose broad scope is to formally define languages and language features in rewriting logic, and then use the generic support provided by rewriting logic to obtain not only interpreters, but also formal analysis tools for the defined languages. keywords: Semantics, rewriting, Scheme.
An anatomy of musical criticism

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Understanding Online Communities Through Multiple Methodologies Combined Under a Postmodern Research Endeavour

Ublicherweise wird Triangulation verwendet, um verschiedene Epistemologien zu integrieren. Diese Vorgehensweise ist jedoch kritisiert worden, weil es ihr nicht gelingt, die divergenten Realitaten zu berucksichtigen, die den entgegengesetzten Methodologien zugrunde liegen. In diesem Beitrag wird eine postmoderne methodologische Vorgehensweise fur die Untersuchung von Netzgemeinschaften vorgeschlagen, die positivistische und interpretative Epistemologien zu kombinieren vermag. Es wurden drei Studien durchgefuhrt, um zu untersuchen, in welchem Ausmas die Mitglieder der Chatroom-Gemeinschaft das Online-Medium zum Zweck der Identitatsexploration nutzen: eine quantitative Befragung von mehr als 400 NutzerInnen von Chatrooms, eine Themenanalyse von funf Tiefeninterviews mit funf erfahrenen Chatroom-NutzerInnen sowie eine ethnographische Studie. Die Ergebnisse der Befragung zeigen in erster Linie die Bedeutung von Geschlecht fur das Ausmas der Identitatsexploration. Die ubrigen Untersuchungen verweisen daruber hinaus auf die Bedeutung weiterer Variablen, wie beispielsweise die Konstruktivitat der Umgebung und deren struktureller Kontext. Die sehr heterogenen Charakteristika der NutzerInnen und die Vielfalt der Online-Interaktionen zeigen, dass Vorhersagen der Verhaltensweisen der Nutzer/innen nur in sehr begrenztem Ausmas moglich sind. Bei der Diskussion werden die Vorteile fokussiert, wie sie die Kombination unterschiedlicher methodischer Ansatze im Bereich der Cyber-Forschung bietet, wahrend die Verwendung nur einer Vorgehensweise in der Gefahr des Reduktionismus steht. URN: urn:nbn:de:0114-fqs0101194
Implementation of ABE for flexible access control and efficiently storing large files using hadoop framework in cloud

Cloud computing is the internet based technology widely used in IT industry. Cloud provides everything as a service over internet such as IaaS, PaaS, and SaaS. There are various security and privacy issues on outsourced data. There are various access control schemes employing Attribute based encryption have been proposed; many of them suffer from inflexibility in implementing complex access control policies. Existing system uses the FTP protocol to stored data on cloud so as the file size increases the Upload time will also increases which are reverse in proposed system. The scheme that we proposed will use the Hadoop framework which uses the mapreduce technique in order to process all user request in parallel and HDFS process and stored large amount of data efficiently on distributed environment and we also efficiently revoked the user who will not be able to access to data which he already had access to. So these things can be easily handled with the help of Hadoop. Use of HDFS helps in storing the large amount of data on cloud in short time. Data stored in HDFS can be processed using Map Reduce programming model comes with Hadoop.
Interactive Arabic Grammar on the Internet: Problems and Solutions

The Visual Interactive Syntax Learning for Arabic (ArabVISL) is an internet based interactive software for self-paced learning of Arabic grammar which is currently being developed at the University of Southern Denmark. It allows students of Arabic as a foreign language to analyse Arabic sentences by using Arabic script and Arabic grammatical terminology. The grammatical framework of ArabVISL as well as the technical solutions reflect a number of choices which had to be made in order to ensure a coherent and pedagogically suited product. The article focuses on these choices in an attempt to provide a better understanding of the problems encountered when developing CALL-materials for languages written in non-roman scripts.
Design and training of support vector machines

S upport Vector Machines (SVMs), which were first introduced by Vapnik in early 90s [28], have found applications in a wide variety of areas. As binary classifiers, SVMs have been used in face recognition [62], speaker identification [69] and text categorisation [49], to name a few. As regressors, they have been used in control systems [30] [89] and communications [77] [24], amongst others. In this thesis I introduce a new and novel form of SVM known as regression with inequalities, in addition to the standard SVM formulations of binary classification and regression. This extension encompasses both binary classification and regres- sion, reducing the workload when extending the general form; and also provides theoretical insight into the underlying connections between the two formulations. This new SVM formulation is extended to cover general cost functions and gen- eral tube shrinking functions. Particular attention has been paid to the quadric cost functions, which present a number of pleasing properties not present in the tra- ditional formulations. The quadric ν-SVR formulation presented provides a novel combination of the useful features of the least-squares SVM and the standard SVM. It may be argued that the sheer generality of the SVM methodology is both a blessing and a curse. In particular, the great freedom allowed by the kernel function and the various parameters (C and , for example) is that one may construct an SVM to suit pretty much any situation. The downside of this, however, is that choosing these parameters can be a long and time consuming process. Many attempts have been made to tackle this problem using different perfor- mance bounds with varying degrees of success (for example, [22]). Of these, the work of Scholkopf and Smola [76] stands apart, in-so-far as it represents an attempt to bridge the gap between the emerging field of support vector regression and the theoretically rich, well explored area of maximum-likelihood estimation. This thesis extends this approach significantly to cover a very general set of SVM formula- tions under a range of conditions, and explores the theoretical and practical issues involved. As SVMs gained wider acceptance in the academic and industrial communities during the late 90s, there arose for incremental training algorithms, which would allow application of SVMs in setting where the training set was non-constant, for example, adaptive control systems or equalization of time-varying communications channels. Our work on this problem is presented in the later chapters of this thesis.
An investigation of the current management of asthma in adolescents and children in Saudi Arabia, barriers to optimal care, and the influence of patient education

ii Chapter 1 Background . 1 1.1 Definition of Asthma . 2 1.2 Asthma Management . 3 1.2.1 Asthma guidelines . 3 1.2.2 Asthma control . 4 1.3 Corticosteroids . 6 1.3.1 Steroid use . 6 1.3. 2 Dosage and dosage form . 7 1.3. 3 Adverse effects . 8 1.4 Inhaler technique . 9 1.5 Asthma Self-management . 12 1.5. 1 Self-monitoring . 13 1.5. 2 Asthma Action Plans (AAP) . 14 1.6 Education . 16 1.7 Barriers to Adherence to Asthma Management Guidelines . 20 1.8 Value of Asthma Education Programs and Asthma Action Plans . 22 1.9 Quality of Primary Health Care Centres . 24 1.10 Physicians’ Use of Guidelines . 25 1.11 Barriers Affecting Physicians’ Adherence to Guidelines . 28 1.12 Summary . 33 1.13 The Focus of this Study. 34 1.14 Reasons for the Study. 35 Chapter 2 Aims and Hypotheses . 37 2.1 Phase 1: A Survey of Children and Adolescents with Chronic Asthma (or of their Carers) . 37 2.1.1 The aims of this study . 37 2.1.2 Null hypotheses . 37 2.2 Phase 2: A Survey of Physicians in Primary Health Care in Riyadh and Asser, KSA . 38 2.2.1 The aims of this study . 38 2.2.2 Null hypotheses . 38 2.3 Phase 3: Barriers Affecting Inhaled Corticosteroid (ICS) Use and Patient Adherence . 38 2.3.1 The aims of this study . 38 2.4 Phase 4: Impact of an Education Program and Provision of Asthma Action Plans on the Knowledge and Health Outcomes of Asthmatic Patients . 39 2.4. 1 The aims of this study . 39 2.4. 2 Null hypotheses . 39 Chapter 3 Methodology . 41 3.1 Phase 1: Patient Survey . 41 3.1.1 Aims . 41 3.1.2 Participants and procedures . 41 3.1.3 Survey instrument and data collection . 42 3.1.4 Face validity . 43 3.1.5 Questionnaire administration . 43
5G multi-element/port antenna design for wireless applications:a review

Abstract Fifth generation (5G) is the current hot topic of the world's leading telecommunication companies. The compact designs of antennas made it possible for them to resonate at higher frequencies, thus to enable the devices to attain higher data rate as compared to 4G technology. Data rate of 5G technology for low mobility users is expected to be 50.0 Gbps and for high mobility users it is 5.0 Gbps. On the other hand, International telecommunication union's objective for 5G is 3 times more spectrally efficient thanlong-term evolution (LTE). The paper has carried out meticulous study over the impact of 5G antennas on the size of antenna, size/type of substrate, gain, efficiency, and isolation, etc. Also, different arrays andmultiple input multiple outputs (MIMOs) with patch antenna, magneto electric-dipole, microstrip grid array antenna, folded dipole, series-fed array, connected antenna array, MIMO are studied. The paper also includes the existing technology i.e 4G LTE and their isolation enhancement approaches. Many of the designs used the reflector plates to reduce the back lobe radiation problem in MIMO/array antennas to increase front-to-back ratio. The gain in 5G antennas can be increased by using balun, parasitic element as directors, multiple notch structures, three identical slot sub-arrays, etc. Mathematical equations of multi-element/port antennas are included to model the designed antennas. The beam steering is also included for the 5G technology in this paper.
Growth behavior and film properties of titanium dioxide by plasma-enhanced atomic layer deposition with discrete feeding method

Titanium dioxide (TiO2) films were deposited by plasma enhanced atomic layer deposition (PE-ALD) system using tetrakis-dimethylamido-titanium (TDMAT) at 250 °C. We applied a new source feeding method, known as Discrete Feeding Method (DFM), to PE-ALD TiO2 process for comparing the deposition rate, the physical and electrical film properties with the films deposited by conventional ALD method. Various analytical studies were carried out to investigate the change of TiO2 thin film characteristics due to DFM application. As a result, the optimal process condition was obtained with high physical properties and productivity while keeping electrical characteristics equivalent to those of the conventional ALD condition.
Sorting On-Line and On-Time

Using proprietary data from a Chilean online job board, we find strong, positive assortative matching at the worker-position level, both along observed dimensions and on unobserved characteristics (OLS Mincer residual wages). We also find that this positive assortative matching is robustly procyclical. Since we use information on job applications instead of final matches, we use the generalized deferred-acceptance algorithm to simulate tentative final allocations. Under all considered scenarios for the algorithm, positive assortative matching is preserved from the application stage to the realized matches.
ATM and multiprotocol networking

From the Publisher: Put your data on the right route in your organization! The high bandwidth of Asynchronous Transfer Mode (ATM) technology lets it transmit data,video,and sound without damaging data,making it attractive to corporations whose data must remain secure and reliable. But ATM data transport is complicated. Here's the first book to offer solutions to the entire range of problems encountered during ATM integration into large corporate systems. Two top networking experts describe the ATM protocol and architecture as they relate to carrying existing computer network protocols,and help you integrate ATM in a multiprotocol internetwork. Emphasis on corporate implementation helps you fully exploit ATM in real-life corporate settings. Detailed sections cover: Internetworking working models,shared media LANs,leading routing protocols,and switched LANs; ATM traffic management and ATM signaling; Problems and solutions in ATM transport of legacy protocols. Everything you need to know about ATM integration into TCP/IP,SNA,APPN,Novell,Net BIOS,and other networks is at your fingertips herein your best guide to ATM success! A volume in the McGraw-Hill Series on Computer Communications
Severity prediction of motorcycle crashes with machine learning methods

Abstract This study uses classification algorithms to establish models to predict the severity of crash injuries when motorcycle crashes occur. In this study, the power of multi-layer perceptron (MLP), rule induction (PART) and classification and regression trees (SimpleCart) models for predicting the severity of motorcycle crash was evaluated by comparing their results. To accomplish this objective, motorcycle crash data set extracted from the National Road Traffic Crash Database at the Building and Road Research Institute in Ghana. The data set was classified into four injury severity categories: fatal, hospitalised, injured and damage. The data collected from this database will provide means to directly compare and rank the data mining models, while also allowing for the identification of variables that are significantly influencing the severity of motorcycle crash. The results showed that among the tested classification algorithms, the SimpleCart model with an average accuracy of 73.81% outperformed the PART model (73.45%) and the MLP (72.16%) model based on a 10-fold cross-validation approach. The results revealed that the most significant factors associated with motorcycle crash injury severity were location type, settlement type, time of the crash, collision type and collision partner.
Mutual Coupling Reduction for Dual-Band MIMO Antenna with Simple Structure

In this paper, a novel dual-band MIMO (multiple input, multiple output) antenna for WLAN (wireless local area network) applications is presented. The MIMO antenna contains two dual-band antenna elements, each of which comprises a T-shaped monopole and a special ├- shaped stub resonator. Two operating bands with center frequencies of 5.5 GHz and 2.5 GHz are crested by the monopole of T shape and the stub resonator of ├ shape, accordingly. The ├-shaped stub also works as an isolation structure at the higher band, which can simplify the dualband isolation design into a single-band problem.
Sequential Circuit Test Generator (STG) benchmark results

The authors report on the results of running a version of the Sequential Circuit Test Generator (STG3) on the ISCAS-89 sequential circuit benchmarks. First, they present a brief history of STG and briefly describe the algorithms used. They then describe the conditions under which the experiments were run and give the benchmark results. No particular problems were encountered when running STG3 on the benchmark circuits, except for those circuits with many untestable faults. STG3 determines that faults are undetectable fairly quickly, taking only 0.98 s on a totally untestable circuit. The major problem with the circuits considered untestable was in initializing the circuit state. <<ETX>>
El gobierno de los indios. Antropología de la formación del estado en Oaxaca, México

Este articulo estudia la formacion del estado en Mexico, en particular en el estado de Oaxaca, lugar donde se analiza el papel de las formas de gobierno indigena en la construccion de un orden estatal. Con base en material etnografico se muestra como el concepto de gobierno de los indios circula por una variedad de escenarios en donde actores diferentes –juristas, academicos, lideres e intelectuales indigenas– contribuyen a su definicion en la vida cotidiana, de manera que el estado se produce y reproduce incesablemente. Estos diversos sitios dan cuenta de la existencia, en Mexico,de un estado que encuentra su potencia en su propio caracter fragmentado y descentrado, al tiempo que formula su existencia en referencia al derecho y la ley.
State-Constrained Nonlinear L2-Gain Control

In this note, a novel barrier storage function approach is developed to solve <inline-formula><tex-math notation="LaTeX">$L_{2}$</tex-math></inline-formula>-gain control problem for nonlinear control-affine systems under functional-inequality state constraints. The existence of barrier storage functions is shown to be sufficient for guaranteeing the existence of state-constrained <inline-formula><tex-math notation="LaTeX">$L_{2}$</tex-math></inline-formula>-gain controllers. Sufficient conditions for the existence of barrier storage functions are derived. Finally, a numerical example is given for illustration.
Optic Nerve Incidentaloma

Retinal astrocytic hamartomas are rare, benign tumors of glial origin. These lesions are often associated with systemic syndromes, including tuberous sclerosis complex and neurofibromatosis type 1, but also may be encountered in otherwise healthy individuals as an acquired lesion. We present the following case to illustrate clinical and imaging characteristics typically seen in astrocytic hamartoma found as “optic nerve incidentaloma” in an otherwise healthy teenager.
K-NNE ALGORITHM FOR BEST KEYWORD COVER SEARCH

Spatial databases stores the knowledge regarding the spatial posts which are related with the keywords featuring the knowledge like their business/administrations/ highlights Crucial situation called nearest keyword search is obviously to inquiry items called keyword cover In nearest keyword search it covers a couple of query keywords and minimal range between objects From latest few years keyword rating builds their convenience and significance in protest examination for the decision making This is actually the principal purpose for building the new algorithm called Best keyword cover which thinks inter range and also the ratings gave by the clients through the web business review destinations Best keyword search algorithm mixes the items from various query keywords to a create candidate keyword cover Two algorithms Base line algorithm and keyword nearest neighbor expansion algorithms are used to find best keyword cover The efficiency of the closest keyword algorithm declines drastically when just how several query keyword increases The right solution is of this problem of the existing algorithm this function proposes common variation called keyword nearest neighbor expansion which decreases the resulted candidate keyword covers
Age and gender recognition from speech patterns based on supervised non-negative matrix factorization

In many criminal cases, evidence might be in the form of recorded conversations, possibly over the telephone. Therefore, law enforcement agencies have been concerned about accurate methods to profile different characteristics of a speaker from recorded voice patterns, which facilitate to identify him/her or at least narrow down the number of suspects. This paper proposes a new gender and age group recognition approach based on Non-Negative Matrix Factorization (NMF) (Lee and Seung, 2001). First, an acoustic model is trained for all speakers in a training database including male and female speakers of different age. Then, Gaussian Mixture (GM) weights are extracted and concatenated to form a supervector for each speaker. Finally, Supervised NMF (SNMF) is applied to detect the gender and age group of unseen test speakers. Evaluation results on a corpus of read and spontaneous speech in Dutch confirms the effectiveness of proposed scheme.