Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient direct-sequence code acquisition in spread-spectrum communication systems

In order to exploit the advantages of a direct-sequence (DS) spread-spectrum (SS) signal in a code-division multiple access (CDMA) system, receivers must first be able to synchronize the local pseudo-noise (PN) code with the received PN code. Code acquisition is often carried out by a serial search procedure, particularly suited for the downlink of third generation mobile communication systems. The simplest of such techniques is the fixed dwell-time method. In this contribution, we deal with the more general multiple-dwell method. An interesting conclusion is that multiple dwells can result in a significant reduction of the mean acquisition time, while all the possible acquisition times are conversely bounded by a limited maximum waiting time. In order to perform an optimum search procedure, both non-detection and false-alarm probabilities of the multi-dwell test may be evaluated by means of the novel class of generalized Q (GQ) functions, characterized by a lower computational cost than numerical integration, that extend the well-known Marcum's Q-function. A number of operating examples of double-dwell serial search have been investigated. In all the considered examples, the devised testing procedure has significantly enhanced the performance of the acquisition system, reducing the mean acquisition time of the whole search.
A Driver Model Considering Levels of Skillfulness for Target Speed Tracking

In order to construct a model which can describe levels of skillfulness of drivers, a driver model of target speed tracking driving is proposed. The model is constructed under two requirements. One is that functions of recognition, decision and operation of a driver are able to interpreted. The other is that the model can express experience of environments. To satisfy the requirements, the proposed model consists of recognition, decision and operation modules and modules of knowledges of environment. Through some computational simulations using a typical mode of target speed tracking, the basic properties of the proposed model have been investigated, and parameters of an experienced driver and a beginner driver are estimated. Using the parameters, it has been shown that the proposed model can represent features of both a novice driver and an experienced skillful driver.
Synthesis of application-specific real-time computing systems

Due to the stringent timing constraints, designing a computer control system for a real-time application is a challenging problem. This dissertation alleviates this problem by developing a systematic approach for designing application-specific real-time computer systems. This approach has been implemented as an integrated set of tools for computer-aided synthesis of these computer systems. The inputs to the tools consist of a high level description of a real-time application and a design library of building components. The output of the tools includes a distributed system consisting of processors and resources, a mapping of the tasks to the processors and resources, and a schedule for the tasks and messages in the application. The developed computer-aided synthesis tools include a Lower Bound Analyzer, a Module Selector, a Network Synthesizer, a Task Scheduler and a Message Scheduler. The Lower Bound Analyzer evaluates a lower bound on the number of units of each type of processor and resource in the system. The Module Selector and the Network Synthesizer form the Application Synthesizer which identifies candidate systems for the given application. The Task Scheduler and the Message Scheduler form the Application Scheduler which evaluates the systems identified by the Application Synthesizer by scheduling the tasks and the resulting messages on the system. The algorithms/heuristics developed as part of these tools are evaluated using several real-time applications. The results show that computer-aided synthesis for application-specific real-time applications is an attractive and feasible approach.
Job Satisfaction among Public and Private Employees: Exploring the Effects of Person-job Fit and Work-life Balance Policies

With the increasing demand for high-skilled workers and the importance of strategic human resource management (SHRM), researchers have emphasized the congruence of education-job fit and skill-job fit through training. This study investigates the impact of education-job fit and skill-job fit on job satisfaction. In this research, work-life balance (WLB) policies (i.e., family friendly policies, supports for individual growth, etc.) are regarded as critical for an individual’s satisfaction at home and for improving organizational efficiency. Therefore, this study examines the moderating effect of WLB policies on the relationship between person-job fit (i.e., education-job fit, skill-job fit) and job satisfaction. Many studies have been conducted regarding the impact of education-job fit and skill-job fit on job satisfaction; however, most of them viewed education-job fit and skill-job fit as one combined concept. Given that person-job fit is subdivided into two levels, education-job fit and skill-job fit, this study focuses on the different impacts of each type of fit on outcomes. Moreover, we also examined how WLB policies have a moderating influence on job satisfaction. In order to verify a set of hypotheses, a correlation analysis, t-test, and a hierarchical multiple regression analysis were carried out. Employing the Korea Labor and Income Panel Study, we conducted an impact analysis and a comparative analysis of the public and private sectors. Based on the discussion of the findings, the theoretical and practical implications, the limitations of the study, and the recommendations for future research are provided in the final section.
Translation-invariant bipolaron theory of superconductivity and spectroscopic experiments

The explanation of the nature of superconducting gap in high temperature superconductors (HTSC) is a fundamental task which solution can lead to the understanding of superconducting mechanism. However, it has not been fully solved yet. From the mid of the twentieth century when Bardeen, Cooper and Schrieffer constructed their theory it has been believed that a superconducting gap is a collective phenomenon of electron excitations. In this work it is demonstrated that according to translation-invariant bipolaron theory of HTSC the different types of experiments measure for the gap different values. Thus tunneling experiments determine the bipolaron energy for a superconducting gap. On the other hand, the angle - resolved photoemission spectroscopy method measures the phonon frequency for which the electron-phonon interaction is maximum. Such effects as kinks in spectral measurements of gap, its angular dependence, existence of pseudogap and others have got natural explanations.
Clinical Application of Quantitative Myocardial Blood Flow Accessment Using Positron Emission Tomography

Epicardial coronary artery disease has been highly noticed in the traditional clinical examination, while myocardial microcirculation function has been neglected for a long time, which plays a nonnegligible role in quite a few patients’ clinical manifestations and prognosis. Non-invasive quantitative PET myocardial perfusion imaging has become a unique and gold standard of evaluating myocardial microcirculation function. Its clinical applications in diagnosis, risk stratification, prognosis evaluation, efficacy evaluation and treatment guidance of cardiovascular diseases are given, together with its development status in China.
Combining internal and external robot models for improved model parameter estimation

Experimental robot identification techniques can principally be divided into two categories, based on the type of models they use : internal or external. Internal models relate the joint torques or forces and the motion of the robot; external models relate the reaction forces and torques on the bedplate and the motion data. This paper describes how internal and external robot models can be combined into one identifiable minimal model. This model allows to combine joint torque/force and reaction torque/force measurements in one parameter estimation scheme. This combined model estimation will yield more accurate parameter estimates, and consequently better actuator torque predictions, which is shown by means of a simulated experiment on an industrial robot (KUKA IR 361). This increased accuracy is quite interesting in view of using advanced control algorithms such as computed torque control. (C) 2000 Academic Press.
Modeling and experiments of cavitation on a pocket-textured surface

A two-dimensional computational fluid dynamics model was developed and an experiment was performed to investigate the role of pocket texture on fully lubricated motion with the cavitation effect. This paper discusses the cavitated simulation models and experiments to describe texture cavitation to solve the lubricating properties of the textured friction pair. The effects of velocity and texture scale on the support force and friction coefficient are discussed. It was found that the results of the two-dimensional computational fluid dynamics model with cavitation are nearly consistent with the experimental results; the hydrodynamic pressure decreased and the sliding speed dropped, and the effect of pressure became highly pronounced with ideal texture size. In addition, the simulation solution can show the internal flow field, and extend the solutions to large-scale textures and multiple textures. Meanwhile, appropriate texture parameters can optimize the friction coefficient and support force. The texture depth ratio plays a more important role on the value of the support force, and the width ratio has a greater influence on the friction coefficient.
The Effects of a Multimedia Computer Program on Preservice Elementary Teachers' Knowledge of Cognitive Components of Movement Skills

This study analyzed the effects of a multimedia based computer approach to teaching cognitive components of sport skills to elementary education majors enrolled in a course on methods of teaching physical education. All of the subjects were divided into two different treatment groups. Treatment I was a multimedia-based computer group (N = 45) and Treatment 2 was a lecturebased group (N - 52). The computer group was asked to learn the required information on the overhand throw, catch, and kick via the computer-assisted instruction approach, while the lecture group learned via the traditional lecture method. All subjects completed a pretest and posttest of the critical components and eue descriptions of the motor skills based on information in (Gabbard's (1992) text on motor development. Researchers used a rating system for assessing the accuracy of subjects' listing the critical components and cue descriptors of the motor skills. By using a multivariate analysis of variance (MANOVA) with repeated measures followed by Wilks Lambda, results indicated that the lecture group scored significantly higher than the computer group on the post-test on all of the components of the catch, throw, and the total component scores. However, no differences were indicated between groups on specific cue descriptions.
Attitude: mediator of subjective norm, religiosity and intention to adopt Islamic banking

Purpose The purpose of this paper is to report on the results of a study carried out to examine the mediating effect of attitude in the relationship between subjective norm, religiosity and intention to adopt Islamic banking in a developing secular state like Uganda. Design/methodology/approach This study’ research design was cross sectional. Closed ended questionnaires were distributed to 258 managers of micro businesses in Uganda. Data were analyzed with the help of SPSS v22 and MedGraph program (Excel version). Findings Attitude is a significant mediator in the relationship between subjective norm and intention to adopt Islamic banking. Also, attitude significantly mediates the relationship between religiosity and intention to adopt Islamic banking. Research limitations/implications The study used only a single research methodological approach; therefore, future research could be undertaken using a mixed-methods approach. Practical implications Emphasis should be put on improving the mindsets of Ugandans toward Islamic banking. Originality/value While there has been a number of studies on Islamic banking, this study provides an initial empirical evidence on the mediation effect of attitude in the relationship between subjective norm, religiosity and intention to adopt Islamic banking in a single study in an African developing secular state like Uganda.
Polylactic acid/lyocell fibre as an eco-friendly alternative to polyethylene terephthalate/cotton fibre blended yarns and knitted fabrics

Abstract Polylactic acid (PLA) and lyocell fibres blend can offer an eco-friendly alternative to commonly employed blend of polyethylene terephthalate (PET) and cotton fibres in textiles. PET fibre is non-biodegradable and depletes fossils fuels and adds to landfill sites whereas conventional cotton, dominant part of global cotton production, requires large quantity of water and pesticides during its production. In this study, 100% PLA, 100% lyocell and PLA-lyocell (PL) blended yarns, in varying ratios, were ring spun and subsequently weft knitted and compared with the PET/cotton blend (50/50). The yarns were evaluated for tensile properties while the fabrics were investigated for bursting strength, bending length, pilling propensity, water vapour resistance, thermal resistance and air permeability. The economic comparisons of the two blends were also included. The results indicated that comparatively PL blends (in particular lyocell fibre rich blends) can offer environmental and performance advantages compared to PC blended knitted fabrics for casual summer clothing and active wear.
Sterile Neutrino Search via Neutral-Current Disappearance with NOvA

Observations of neutrino oscillations from the majority of neutrino oscillation experiments are consistent with a three-flavor framework. However, the excess of events seen by LSND and MiniBooNE are incompatible with this model and can be explained by an additional, sterile, neutrino. These intriguing results are not conclusive and are in tension with findings from other short-baseline and long-baseline experiments.
Factors in Software Quality. Volume I. Concepts and Definitions of Software Quality

Abstract : This document is the final technical report (CDRL A003) for the Factors in Software Quality Study, contract number F30602-76-C-0417. The report consists of three volumes, as follows; Volume I Concept and Definitions of Software Quality, Volume II Metric Data Collection and Validation, Volume III preliminary Handbook on Software Quality for an, Acquisition Manager. The objective of the study was to establish a concept of software quality and provide an Air Force acquisition manager with a mechanism to quantitatively specify and measure the desired level of quality in a software product. Software metrics provide the mechanism for the quantitative specification and measurement of quality. This first volume describes the process of developing our concepts of software quality and what the underlying software attributes are that provide the quality, and defines the metrics which provide a measure of the degree to which the attributes exist.
Practitioner Sensemaking of Event Marketing Managerial Practice:a Socio-Phenomenological and Hermeneutic Study

Marketing management theory in event and festival management literature contextualises general marketing management principles and invariably refers to marketing analysis and decision-making. Few studies consider practitioner views of marketing managerial practice in the work place and impact in day-to-day operations. This research covers fieldwork in a traditional hermeneutic manner and evidence taken from interviews with twelve practitioners from the industry. Four prominent themes of marketing managerial practice emerged from the research. Firstly, the meaning of marketing managerial practice cannot be satisfactorily explained by conventional event marketing theory. Secondly, these event professionals’ made sense of the meaning of marketing managerial practice in terms of three elements; management identities, extended event marketing networks and innovative event marketing output including storytelling and content. This thesis proposes a new conceptual model that describes these findings, an Event Marketing Functionality Model. Finally, this conceptual model makes sense of practitioner meaning from a sociological standpoint as a social practice - a new perspective instead of a traditional classical marketing stance. This research contributes to both professional practice and academic knowledge. In professional practice, this work asks practitioners to adopt recommendations set out in the conclusion section as this will lead to a more coherent and productive professional approach if recognised and acted on by those involved. The recommendations include a) practitioner use of the new conceptual model in developing best practice in event marketing; b) training and mentoring in event marketing practice is necessary; c) peer-to-peer learning would help develop new ways or working and d) adoption of innovative practices including storytelling and content to maximise opportunities in the field. This work also contributes to academic knowledge and the social-phenomenology of marketing work. Furthermore, this research also contributes new knowledge and to professional practice as event management /marketing performance as opposed to classic concern with ‘technique’ - so this thesis shifts the conversation from dominant concern with ‘technique’ to something more profound. This research provides new insights into event marketing managerial practice and the influence and importance of people in the process.
Organizational assessment : an overlooked approach to managing diversity and addressing racism in the workplace

Strategies to manage diversity and address racism within organizations are fast becoming routine practice. This is especially important given the demographic compositions of workforces are changing and evidence that racism is commonplace within workplaces and associated with a range of detrimental economic, social and health outcomes. In this paper, we consider organizational assessment as a largely overlooked approach to managing diversity and addressing racism in the workplace. Approaches to organizational assessment in the fields of diversity management and cultural competency are explored and critiqued before turning to a review of organizational assessment tools focused on managing diversity and/or addressing racism. A critical review of the eight tools that met the inclusion criteria led to the formulation of six key principles to guide the selection of organizational assessment tools. Current organizational assessment tools lack an explicit focus on addressing systemic racism and require further refinement and testing in order to effectively manage diversity and address racism in the workplace.
Identifying Quality Contents of N-List E-Resources for Academic Pursuits and Learning Outcomes

This research paper explains the usage of the N-LIST E-resources among the student and faculty members of the various select Degree Colleges affiliated to Panjab University, Chandigarh. A questionnaire method was used as a tool for collection of data from the 32 select degree colleges in Punjab and Chandigarh. The total data was collected from the 466 out of 513 respondents. The total response rate is 90.84%. Out of 466 respondents, total 286 are users (faculty and student) respondents and 180 are non-users (faculty and student) non-users respondents. The statistical test has been applied and the inferences have been drawn there of for identifying the quality of N-LIST E-resources for aiming users’ academic pursuits and learning outcomes.
Computational Methods for Analyzing Chemical Graphs and Biological Networks

Complex biological systems, which can be represented as computable networks including transcriptional, signalling and metabolic, have been enormously explored over past few decades. However, few of them are known on their complete structures, physiological functions or organic mechanisms. Therefore, comprehensive study of these types of biological networks with their topological structures and prediction of the complete state description of their organisms are important and methodologically-needed in system biology, which can help to deep understand the biological function, and even to design new drug targets to treat diseases. In this research, we focus on the analysis of chemical graphs and biological network structures, and propose novel methods that handle four types of problems: (i) tree structured data compression, (ii) tree-like compound enumeration, (iii) protein complex prediction, and (iv) modeling the robustness of metabolic networks. In the first part of this thesis, our research starts with the analysis of tree structured data, since tree graphs have simple structures with no cycle and no selfloop. First at all, we firstly propose integer programming-based methods for grammarbased tree compression. The results show that our methods can not only efficiently compress trees but also extract features and patterns from glycans. Next, we develop two efficient methods for enumerating tree-like compounds with and without multiple bonds by firstly using breadth first search order. To reduce the exponentially increasing search space with the increasing atoms, we employed and modified some important concepts such as left-heavy, center-rooted and normal form. The results of comparison with state-of-the-art methods indicate that our methods are exact and faster. Furthermore, the low matching rates of generated structures in the database suggest that a large amount of structures are exponentially generated, but only a small fraction of them has been explored. This finding is encouraging in a sense that these unexplored regions may provide a vast potentiality to improve our today’s drugs by new compound design. In the second part, we deal with prediction of protein complexes from large-scale protein-protein interaction networks. We propose an improved integer programmingbased method based on the idea that a candidate complex should not be divided into many small complexes. We further enhance it by combining with maximal
Learning Bayesian Networks with the bnlearn R Package

bnlearn is an R package (R Development Core Team 2010) which includes several algorithms for learning the structure of Bayesian networks with either discrete or continuous variables. Both constraint-based and score-based algorithms are implemented, and can use the functionality provided by the snow package (Tierney et al. 2008) to improve their performance via parallel computing. Several network scores and conditional independence algorithms are available for both the learning algorithms and independent use. Advanced plotting options are provided by the Rgraphviz package (Gentry et al. 2010).
Varieties of Public Attitudes Towards Immigration: Evidence from Survey Experiments in Japan

Drawing on survey experiments in Japan, we dimensionalize attitudes towards immigration along cultural and economic lines as well as along a negative-positive continuum to capture natives' multifaceted attitudes toward immigrants. Even in a relatively closed country like Japan, 24 percent favor immigration on both grounds, and more importantly, another 40 percent favor immigration on either economic or cultural ground, underscoring the importance of cross-cutting preferences. Consistent with prior research, we find that educated citizens are more likely to appreciate immigrants both for economic and cultural reasons. We also find that different types of natives are likely to prefer different types of immigrants. Uncovering multidimensional attitudes towards immigrants opens possible avenues for coalition building around immigration policy reform.