Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on Two‐Coil and Four‐Coil Wireless Power Transfer Systems Using Z‐Parameter Approach

A wireless power transfer (WPT) system is usually classified as being of either a two‐coil or four‐coil type. It is known that two‐coil WPT systems are suitable for short‐range transmissions, whereas four‐coil WPT systems are suitable for mid‐range transmissions. However, this paper reveals that the two aforementioned types of WPT system are alike in terms of their performance and characteristics, differing only when it comes to their matching‐network configurations. In this paper, we first find the optimum load and source conditions using Z‐parameters. Then, we estimate the maximum power transfer efficiency under the optimum load and source conditions, and we describe how to configure the matching networks pertaining to both types of WPT system for the given optimum load and source conditions. The two types of WPT system show the same performance with respect to the coupling coefficient and load impedance. Further, they also demonstrate an identical performance in the two cases considered in this paper, that is, a strong‐coupled case and a weak‐coupled case.
Impact of natural resource wealth on non-resource tax revenue mobilization in Africa: Do institutions and economic diversification matter?

This paper estimates the impact of natural resources rents on non-resource tax revenue mobilization. Regressions are carried out using the Panel Smooth Transition Regression model for 29 African countries over the period 1995-2012. The empirical results indicate that while natural resource rents alone have direct negative impact on non-resource tax revenue, the quality of institutions and the level of economic diversification modulate this impact. Natural resource rents enhance non-resource tax revenue collection in more diversified economies and in economies with favorable institutional environment. These findings urge African governments to allocate natural resources revenues towards diversifying the economy and strengthening the quality of institutions for enhancing non-resource tax revenue mobilization.
BZ-TT: A tool-set for test generations from Z and B using constraint logic programming

In this paper, we present an environment for boundary-value test generation from Z and B specifications. The test generation method is original and was designed on the basis of several industrial case-studies in the domain of critical software (Smart Card and transport areas). It is fully supported by a tool-set: the BZ-Testing-Tools environment. The method and tools are based on a novel, set-oriented, constraint logic programming technology. This paper focusses on how this technology is used within the BZ-TT environment, how Z and B specifications are translated into constraints, and how the constraint solver is used to calculate boundary values and to search for sequences of operations during test generation.
Usability and Performance of Tablet Keyboards

This study was an evaluation of typing performance and user satisfaction of three tablet keyboards: Surface TouchCover Keyboard, Surface Onscreen Keyboard, and iPad Onscreen Keyboard. Results show that participants typed faster with the Surface TouchCover Keyboard, but also committed more typing errors (e.g., unintended omission of letters and spaces). Users liked the TouchCover standard keyboard layout, but not the lack of sensitivity of the flat keyboard. The results from this study indicate the advantages of a physical keyboard with a standard layout for tablet usage over an onscreen keyboard.
A Review of Anomaly Detection Techniques Based on Nearest Neighbor

The concept of nearest neighbor has been used in several anomaly techniques, which supposes normal data instances occur in dense neighbors and anomalies occur far from their closest neighbors. So the techniques require a distance or similarity measure defined between two data instances. By now, there are several variants of basic technique extended by researchers in three different ways. The first set is to modify the definition of the anomaly score. The second set is to select different distance or density measure for different data type. The third set is to reduce the computation complexity. In this paper we have attempted to provide an overview of the previous work, although it is limited. Keywords—outlier detection; anomaly detection; distance based outlier detection; k nearest neighbor
An International View of Traumatic Brain Injury

Traumatic brain injury (TBI) is the leading cause of disability in the world. This was a descriptive study implemented through a survey which gathered information on epidemiology, demographics, service delivery, and the role of the SLP in countries outside the United States. Contact persons were notified and asked to distribute surveys to health care professionals who work with TBI. The survey was ·completed by 14 individuals in 5 different countries. Countries included Brazil, Israel, Italy, South Africa, and United States. Compelation of this information revealed that there was a large variety of answers both within and between countries. There was no common definition given for TBI across countries, and few countries had access to national epidemiological information. Etiologies of sports related injuries resulting in TBI varied across countries. Demographic data across countries showed that males aged 14-24 were at the highest risk for obtaining a TBI. Additional factors associated with TBI in the various countries were identified. Results on service delivery for TBI revealed that various measurements and categorizations for TBI were used across countries. Team members involved in patient care also varied. The speech-language pathologist's role was also different among countries.
Indirect passivation design for a diesel engine model

Unstable (nonminimum) zero dynamics are an obstacle to direct feedback passivation. In multivariable (MIMO) systems, the zero dynamics of a particular input-output pair may be stabilizable by another input, making indirect single-input single-output (SISO) passivation feasible. This indirect passivation methodology is illustrated by a design for a simplified model of turbocharged diesel engine and tested by simulation on a higher-order model.
Clinical Protocol in Developing Class 3 Malocclusion; Justified Approach?

The purpose of the current report was to investigate orthopedic effects of a maxillary protraction headgear along with maxillary expansion on facial morphology in developing Class 3 patient before and during the pubertal period. The treatment resulted in Class 1 molar occlusion bilaterally; an ideal overjet, overbite, incisor angulations, and overcorrection may be needed during the treatment with continuous monitoring for the long term stability of the treatment.
New Graphical User Interface for EXAFS analysis with the GNXAS suite of programs

GNXAS is a suite of programs based on multiple scattering calculations which performs a structural refinement of EXAFS spectra. It can be used for any system although it has been mainly developed to determine the local structure of disordered substances. We developed a user-friendly graphical user interface (GUI) to facilitate use of the codes by using wxPython. The developed GUI and the codes are multiplatform running on Windows, Macintosh and Linux systems, and are free shareware (http://gnxas.unicam.it). In this work we illustrate features and potentials of this newly developed version of GNXAS (w-GNXAS).
Agile performance measurement system development: an answer to the need for adaptability?

Purpose The purpose of this study is to reflect upon the feasibility of agile methodologies, Scrum in particular, to supplement the procedural design and implementation of performance measurement systems (PMS). Design/methodology/approach The study is an interventionist case study that applied agile methodologies in the PMS development. Researchers actively participated in the PMS development, e.g. researchers designed some of the performance measurement prototypes in order to facilitate the agile development. Findings The study outlines an agile approach suitable for PMS development. The paper answers the topical needs for adaptability and agility in management accounting, by applying agile methodologies into PMS development. PMS development does not take place only as a project or process that systematically progresses from the measure selection to measure implementation. Instead, as the requirements for the PMS change during the development project, management may reject some measures and new measures emerge as the understanding about changing situations increase. Agile methodologies are a methodological way to respond to the inevitable change and to enhance management accounting adaptability. Research limitations/implications This study contributes to the PMS literature by proposing that agile development methodologies can advance organizational features that increase management accounting adaptability. As a result, the study proposes a new approach for PMS development to supplement existing ones. Agile methodologies are especially suitable for extending the PMS in new, yet relatively immature areas of performance measurement. The new approach applies Scrum principles in PMS development. By drawing from the theories of performance measurement (system) development and enabling PMS, the paper furthers academic understanding about agile development of accounting information systems. Practical implications Companies can use the proposed approach in PMS development, particularly after the initial system implementation in redesigning the system. The approach may increase the PMS impact in organizations and prevent PMS implementation failures. Originality/value The paper identifies the potential of using agile methodologies to enhance PMS adaptability and provides preliminary evidence of the potential of such approach in supplementing processual PMS development frameworks.
A secure and efficient protocol of multiple session keys generation

To negotiate a session key can benefit from the technique of the public-key cryptography such as key exchange and digital signature. This key cannot be used until the session is finished. In current model such as SSL, if the sender desires to re-establish another new session with the same receiver, the both sides, for security consideration, should repeat the same key exchange and digital signature processes to generate a new session key. Apparently, the two processes must lower the communication system efficiency. Therefore, a new session key generation protocol is proposed to overcome this demerit. In our new model, the key exchange and digital signature process only perform once, and the subsequent session keys can be computed in both sides without the two processes. Because the two processes can be eliminated, our protocol can promote more performance than the current-used model.
Cooperation Between Knowledge-based Institutions and Business : Empirical Studies and Network Theories

The issue of broadly-understood ties and collaboration between business and science is one of the key issues constituting the foundations for the modern knowledge-based economy, which relies on innovations and competitiveness in technically and scientifically advanced branches. The article outlines the theoretical perspective for studies on the effects of this cooperation. Taking into consideration the richness of the aspects and sub-issues of the problem which should be analysed, the paper implicitly prepares the “groundwork” for more detailed empirical studies based on the overview of different approaches and methods used in the literature, concluding not only from the literature but mainly from the special characteristics of the “start-up world” that the most suitable theoretical approach for properly constructed empirical studies is the network theory in general and the social capital perspective in particular. The subject of “hard” forms of cooperation between science institutions and business (start-ups in particular) requires more insight into the network approach to entrepreneurship. Secondly, the article presents an overview of the literature, concentrating on studies which analyse cooperation between knowledge-based entities (universities) and business in practice, as well as a detailed example of one such case study. The case study which was discovered in the literature, namely cooperation between Ericsson and ITU, is related to network concepts discussed in the theoretical part.
A Review of Deep Machine Learning

The rapid increase of information and accessibility in recent years has activated a paradigm shift in algorithm design for artificial intelligence. Recently, deep learning (a surrogate of Machine Learning) have won several contests in pattern recognition and machine learning. This review comprehensively summarises relevant studies, much of it from prior state-of-the-art techniques. This paper also discusses the motivations and principles regarding learning algorithms for deep architectures.
THE USE OF FIBRIN FILM AS A DURAL SUBSTITUTE: AND IN THE PREVENTION OF MENINGOCEREBRAL ADHESIONS FURTHER STUDIES AND CLINICAL RESULTS

The need for a material which acts as a substitute for excised or injured dura mater and at the same time prevents meningocerebral adhesions has long been one of the most pressing in neurologic surgery. Numerous dural substitutes have been tried with varying degrees of success. On long-range study not one has proved adequate to fill these requirements. 1 In spite of this, the results secured when no material is employed have been so unsatisfactory that most neurosurgeons prefer to use one or another of the available dural substitutes, whatever their shortcomings may be. In the course of a program devoted to the fractionation of human blood plasma, 2 large quantities of human fibrinogen and thrombin have become available. 3 From these proteins it has been possible to prepare a material, fibrin film, 4 which has been subjected to experimental and clinical trial as a dural substitute. 5 A variety
Optimizing Convolution Neural Network on the TI C6678 multicore DSP

: Convolutional Neural Networks (CNNs) have become the most advanced algorithms for deep learning. They are widely used in image processing, object detection and automatic translation. As the demand for CNNs continues to increase, the platforms on which they are deployed continue to expand. As an excellent low-power, high-performance, embedded solution, Digital Signal Processor (DSP) is used frequently in many key areas. This paper attempts to deploy the CNN to Texas Instruments (TI)'s TMS320C6678 multi-core DSP and optimize the main operations (convolution) to accommodate the DSP structure. The efficiency of the improved convolution operation has increased by tens of times.
Double Deadbeat Plus Repetitive Control Scheme for Microgrid System

Parallel connection of converters is a convenient choice when system capacity is to be increased. Parallel-connected voltage source converters, especially neutral point clamped converters, are one of the best choices for its range. However, with the parallel connectivity, the converter possesses a circulating current in its legs, which consequently threatens the safe operation of the system. To alleviate this circulating current problem, in this paper, a double deadbeat (DD) plus repetitive control (RC) scheme is proposed. The RC scheme is employed to mitigate the circulating currents and the DD loop control scheme is employed to achieve a high operating bandwidth for voltage and current characteristics. Furthermore, the DD loop is associated with an adaptive controlling technique, which adjusts internally by itself and provides better performance for nonlinear loads. The proposed DD method forces the equivalent system elements to be placed outside the closed loop, which does not affect the system stability. Initially, the system has been executed with a conventional proportional + integral scheme and then with the proposed DD + RC scheme. The proposed method is verified by implementing a Simulink model in the OPAL-RT platform. Furthermore, the proposed method is built with a prototype, and its results are explored.
Recursos materials per al desenvolupament motor gros en escolars de 6-9 anys

espanolL’objectiu de la recerca ha estat coneixer els recursos materials d’educacio fisica mes eficacos per millorar el desenvolupament motor gros de l’alumnat de 6 a 9 anys, en funcio del seu sexe i edat. La mostra de 982 escolars es va dividir en tres grups experimentals segons el tipus de material fungible i un grup de control. Es va emprar el test TGM-2, mitjancant un pretest i un postest despres d’una intervencio de 14 sessions. La diferencia de puntuacions directes en els dos ambits (locomotriu i control d’objectes) va ser major en els grups experimentals (p-valor EnglishThe aim of this research paper was to learn about the most effective Physical Education material resources to improve gross motor development of students aged from 6 to 9 depending on their gender and age. The sample of 982 schoolchildren was divided into three experimental groups according to the type of consumable material and a control group. The TGM-2 test procedure was used by means of a pre-test and a post-test after an intervention lasting 14 sessions. The difference in direct scores in the two areas (locomotor and object control) was higher in the experimental groups (p-value
DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns

Research in automatic natural language grounding, in which robots understand how phrases relate to real-world objects or actions, offers a compelling reality in which untrained humans can operate highly sophisticated robots. Current techniques for training robots to understand natural language, however, assume that there is a fixed set of phrases or objects that the robot will encounter during deployment. Instead, the real world is full of confusing jargon and unique objects that are nearly impossible to anticipate and therefore train for. This thesis presents a model called the Distributed Correspondence Graph Unknown Phrase, Unknown Percept Away (DCG-UPUP-Away) that augments the state of the art Distributed Correspondence Graph by recognizing unknown phrases and objects as unknown, as well as reasoning about objects that are not currently perceived. Furthermore, experimental results in simulation, as well as a trial run on a turtlebot platform, validate the effectiveness of DCG-UPUP-Away in grounding phrases and learning new phrases. Thesis Supervisor: Nicholas Roy Title: Professor
Qualitative Analysis For Social Scientists

Preface 1. Introduction 2. Two illustrations 3. Codes and coding 4. Seminar on open coding 5. Memos and memo writing 6. Team meetings and graphic representations as memos 7. Excerpts that illustrate common problems 8. Integrative diagrams and integrative sessions 9. Integrative mechanisms: diagrams, memo sequences, writing 10. Presenting case materials: data and interpretations 11. Grounded formal theory: awareness contexts 12. Reading and writing research publications 13. Questions and answers 14. Research consultations and teaching: guidelines, strategies, and style Epilogue Appendix References Author index Subject index.
Nonparametric Effects of Tariff and Nontariff Policy Barriers in General Equilibrium

Most applied work in international economics treats trade policy (a) as a linear component of trade costs and (b) as an exogenous variable. This paper proposes a structural modelling approach that allows for the estimation of (possibly) non-parametric effects of trade policy using a propensity score method to account for the endogeneity bias of trade policy.
Stock Market Analysis: A Review and Taxonomy of Prediction Techniques

Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool’s game to try and predict them. Predicting stock prices is a challenging problem in itself because of the number of variables which are involved. In the short term, the market behaves like a voting machine but in the longer term, it acts like a weighing machine and hence there is scope for predicting the market movements for a longer timeframe. Application of machine learning techniques and other algorithms for stock price analysis and forecasting is an area that shows great promise. In this paper, we first provide a concise review of stock markets and taxonomy of stock market prediction methods. We then focus on some of the research achievements in stock analysis and prediction. We discuss technical, fundamental, short- and long-term approaches used for stock analysis. Finally, we present some challenges and research opportunities in this field.
Improvement of LTE Downlink Channel Estimation Performance by Using an Adaptive Pilot Pattern

This paper proposes an adaptive pilot pattern to improve channel estimation performance for LTE downlink system with high mobility. The downlink pilot positions are predefined in the time and frequency domain with fixed pilot pattern in LTE standard. However, that pilot structure is not efficient in a fast time varying channel, and leads to a decrease of channel estimation performance. The authors propose and evaluate the performance of LTE downlink channel estimation using an adaptive pilot scheme to optimally use pilot tones over time varying channels. It is shown that only seven bits of additional wide-band feedback per frame and per user are required to optimally support adaptive pilot pattern. Simulation results show that the proposed method allows high performance in terms of throughput and channel estimation error. This analysis shows that LTE downlink throughput could be increased over 4%. Keywords—channel estimation, LTE, MIMO, OFDM, pilot pattern.
Reflexive competence of adult education professionals in political adult education

The article examines the reflexive competence for professionals in adult education, mainly political adult education. Reflexive competences can solve teaching tasks in settings, in which adult learners are confronting with challenging current topics, such as populism and Euroscepticism. In spite of their differences, these two political phenomena demand innovative pedagogical approaches. A meta-level analysis of the reflexive competence highlights, on the one hand, the ways in which it can be fostered in adult learners, so that they may be capable to handle political questions in a holistic perspective, and, at the same time, how adult educators can master it both as a pedagogical strategy and a self-reflection process. Both analytic and descriptive considerations are provided, drawing on the different aspects defining the reflexive competence in the light of political education, so as to contribute to the professional development of adult educators and to improve practice in didactical settings. La competenza riflessiva dei professionisti dell'educazione degli adulti nelle politiche di educazione degli adulti L’articolo si propone di analizzare la competenza riflessiva, necessaria per tutti i professionisti che lavorano nell’ambito dell’educazione degli adulti e con responsabilita politiche. Le competenze riflessive aiutano nel far fronte a sfide, complesse ed attuali, come il populismo e l’euroscetticismo. Seppure essi siano fenomeni distinti, entrambi richiedono la definizione di approcci pedagogici innovativi. Una analisi meta-livello della competenza riflessiva e utile per evidenziare i modi in cui essa puo essere promossa tra adulti in apprendimento capaci di acquisire da un lato strumenti utili per la gestione di processi decisionali con approccio olistico e dall’altro per definire strategie educative e processi di riflessivita. Il contributo offre elementi descrittivi e di analisi a partire dalle varie componenti della competenza riflessiva nelle politiche educative in quanto rilevanti per lo sviluppo professionale dei professionisti dei processi formativi e per il miglioramento di pratiche e azioni educative.