Miracle-dz/UniFAR-FTUs huggingface dataset:
Is being satisfied enough? Well-being and IT post-adoption behavior

Well-being has rarely been used to discuss the post-adoption behavior of information technology users. Currently, satisfaction is the primary predictor of user behavior in IT post-adoption research. We live in an age when social media, mobile devices, the Internet, and other information technologies have virtually fused with our lifestyles. In discussing post-adoption behavior, focusing only on satisfaction might no longer be satisfactory. We should consider other constructs that might capture additional post-adoption factors, such as the concept of affect. In this study, we examined the influence of well-being on continuance intention and on loyalty. We compared well-being’s impact with that of satisfaction. A survey of 297 college students supplied the data that was entered into a structural equation model on social network site usage. The results showed strong support for satisfaction and well-being as influential factors for continuance intention and loyalty. Moreover, relative to satisfaction, we found well-being to have a greater impact on continuance intention and loyalty.
Structure estimation for mixed graphical models in high-dimensional data

Undirected graphical models are a key component in the analysis of complex observational data in a large variety of disciplines. In many of these applications one is interested in estimating the undirected graphical model underlying a distribution over variables with different domains. Despite the pervasive need for such an estimation method, to date there is no such method that models all variables on their proper domain. We close this methodological gap by combining a new class of mixed graphical models with a structure estimation approach based on generalized covariance matrices. We report the performance of our methods using simulations, illustrate the method with a dataset on Autism Spectrum Disorder (ASD) and provide an implementation as an R-package. \
The Torah Codes: Puzzle and Solution

On Thursday, May 28, 1997, Simon & Schuster took out a full page ad in The New York Times, announcing a new book with the following caption: “In all of history, few books have completely changed the way we view the world. The Bible was one. The Bible Code is another. ” Within a week, the book had been featured on CNN and in The New York Times, TIME magazine, and Newsweek (in the Religion section). In quick succession, it was featured in the leading U.S. newspapers and on the Today Show and the Oprah show. It was translated into many languages and topped bestseller lists all over the world for weeks. Warner Brothers bought the movie rights. The claims made for the book were of National Inquirer quality: “For three thousand years a code in the Bible has remained hidden. Now it has been unlocked by computer—and it may reveal our future. ” Using this code, the author, a self-described “skeptical secular reporter” named Michael Drosnin, discovered what he took to be a prediction of the assassination of the late Yitzhak Rabin, then prime minister of Israel. Lest skeptics dismiss this claim out of hand, readers were told, “The code was broken by an Israeli mathematician, who presented the proof in a major science journal, and it has been confirmed by famous mathematicians around the world” and “In a few dramatic cases [Rabin’s assassination being one of them] detailed predictions were found in advance—and the events then happened exactly as predicted” (all quotes are from the book jacket). Astonishingly, these assertions are actually more or less truthful: Evidence for the so-called Torah code was published in 1994 in the respectable peer-reviewed journal Statistical Science (Witztum, Rips and Rosenberg 1994, hereafter WRR), it received a degree of endorsement from several famous Jewish Orthodox mathematicians from Harvard, Yale, and The Hebrew University, and reliable witnesses confirm that Drosnin took pains to warn Rabin of the danger to his life a full year before the assassination. What is this Torah Code, and What are We to Make of It?
Internal model control and disturbance observers

Internal model control schemes based on disturbance observers are analyzed and compared. It is shown that the proper choice of a filter and the possible use of an additional secondary feedback can give the various control structures the same performance and robustness. Theoretical analysis and examples indicate that a control scheme using a disturbance observer based on a model of the controlled system is the simplest one for applications where the controlled system includes an integrating process submitted to possibly constant disturbances at its input. <<ETX>>
Modelling, trajectory calculation and servoing of a computer controlled arm

Abstract : The problem of computer control of an arm is divided into four PARTS: modelling, trajectory calculation, servoing and control. In modelling the author uses a symbolic data structure to represent objects in the environment. The arm is moved along time-coordinated space trajectories in which velocity and acceleration are controlled. The arm is servoed by a small computer. In order to control the arm, a planning program interprets symbolic arm control instructions and generates a plan consisting of arm motions and hand actions.
Factors of Online Learning Adoption: A Comparative Juxtaposition of the Theory of Planned Behaviour and the Technology Acceptance Model.

Organisational investments in information technologies have increased significantly in the past few decades. All around the globe and in Malaysia particularly, a number of educational institutions are experimenting with e-learning. Adopting the theory of planned behaviour (TPB) and the technology acceptance model (TAM) this article tries to compare the predictive power of the two models in determining online learning acceptance among Malaysian students. By juxtaposing both models, this article furnishes a better understanding of individual, technological, and social factors of online learning adoption intention. A total of 300 students who were earlier introduced to e-learning were surveyed after a period of exposure to the system. The purposive sampling method was used to select the participants. The Multiple Regression Analysis was used to determine the key influences on behavioural intention. The effects of potential confounding factors were verified and controlled. The results show that both TAM and TPB predict e-learning adoption intention well, although the impact of the TAM is more robust than the TPB. Research findings are discussed.
Computer-mediated communication: the power of email as a driver for changing the communication paradigm

INTRODUCTION Email has been with us now for a long time and is being increasingly adopted as a major communication tool in UK Higher Education establishments (colleges of Higher and Further education and universities). As the use of email grows, the effect on communication patterns needs to be established. This paper looks at current communication and working practices within a Higher Education institution in the UK (the author’s own). A survey has been conducted to elicit people’s feelings about the use of email and how they see future patterns of communication developing within the establishment. The questions that the survey set out to answer were as follows: Preferred methods of communication. Advantages and disadvantages of each of the communication methods utilised at Leeds Metropolitan University (LMU). Efficiency of email to be. Items not suitable for email transmission. Ethical considerations in using email Who is contacted using email. Increase or decrease of email usage in the future. The specific focus of the survey was to elicit how staff feel about the increasing dependence on the use of email within the institution and these findings are discussed in the results section. The paper will present a literature review of the area, the framework for the study, the methodology utilised, the results of the questionnaire and conclusions.
Literary and Film Interests in Assisted-Living Residences: A Midwestern Study

This study discusses literary and film interests among library patrons in assisted-living residences in a small-town Midwestern context. The importance of library services for seniors is addressed. Popular genres and literary themes are discussed, and the concepts of “relational librarianship” and senior services librarian are advocated. This article attempts to identify popular literary and film genres among seniors living in care facilities for the purpose of enhancing library services for senior citizens.
Synchronization Analysis for Hard Real-Time Multicore Systems

Multicore processors are increasingly used in real-time embedded systems. Better utilization of hard real-time systems requires accurate scheduling and synchronization analysis. In this paper, we characterize the major synchronization penalties arising from partitioned fixed priority scheduling for hard real-time tasks on multicore platform, including transitive remote preemption, multiple remote blocking, and multiple priority inversions. Subsequently, we propose a new response time analysis by improving the approach to bound task blocking time. The key idea of this approach is to classify the total blocking time into (i) direct blocking, including local and remote blocking, and transitive remote preemption; and (ii) multiple local interference which is incurred by multiple priority inversion. Simulation results indicate that the proposed approach produces less pessimistic results in task blocking time, and better schedulability performance.
Human Factors Evaluation of a Computer Based Information Storage and Retrieval System

The human factors aspects of a computer-based information storage and retrieval system were evaluated in three government intelligence services using questionnaire and interview techniques. It was found that many factors entered into satisfaction with the information system, including familiarity, ease of use, and importance. Other relevant factors included training in the use of the system, amount and type of information to meet needs in the system, and tolerances of individuals for irrelevant material in the output of searches. The interaction of these factors is discussed in relation to satisfaction with the system.
Solid-State Storage and Work Sharing for Efficient Scaleup Data Analytics

Today, managing, storing and analyzing data continuously in order to gain additional insight is becoming commonplace. Data analytics engines have been traditionally optimized for read-only queries assuming that the main data reside on mechanical disks. The need for 24x7 operations in global markets and the rise of online and other quickly-reacting businesses make data freshness an additional design goal. Moreover, the increased requirements in information quality make semantic databases a key (often represented as graphs using the RDF data representation model). Last but not least, the performance requirements combined with the increasing amount of stored and managed data call for high-performance yet space-efficient access methods in order to support the desired concurrency and throughput. Innovative data management algorithms and careful use of the underlying hardware platform help us to address the aforementioned requirements. The volume of generated, stored and queried data is increasing exponentially, and new workloads often are comprised of time-generated data. At the same time the hardware is evolving with dramatic changes both in processing units and storage devices, where solid-state storage is becoming ubiquitous. In this thesis, we build workload-aware data access methods for data analytics - tailored for emerging time-generated workloads - which use solid-state storage, either (i) as an additional level in the memory hierarchy to enable real-time updates in a data analytics, or (ii) as standalone storage for applications involving support for knowledge-based data, and support for efficiently indexing archival and time-generated data. Building workload-aware and hardware-aware data management systems allows to increase their performance and to augment their functionality. The advancements in storage have led to a variety of storage devices with different characteristics (e.g., monetary cost, access times, durability, endurance, read performance vs. write performance), and the suitability of a method to an application depends on how it balances the different characteristics of the storage medium it uses. The data access methods proposed in this thesis - MaSM and BF-Tree - balance the benefits of solid-state storage and of traditional hard disks, and are suitable for time-generated data or datasets with similar organization, which include social, monitoring and archival applications. The study of work sharing in the context of data analytics paves the way to integrating shared database operators starting from shared scans to several data analytics engines, and the workload-aware physical data organization proposed for knowledge-based datasets - RDF-tuple - enables integration of diverse data sources into the same systems.
How to get tenured

Getting a tenured position in economics in Germany is viewed as a random outcome where the probability of tenure depends on the quantity and qual- ity of publications, age and years since PhD. We measure publications both in units of Top 5 journals and in units of the European Economic Review (EER). We find that the average age of a professor in the year of his first appointment in Germany in the period of 1970 to 2005 is 38. This is ap- proximately 8 years after the PhD. He has 1.5 "standardized" Top 5 papers or 2.2 "standardized" EER papers, i.e. written with one coauthor and of 20 pages length. Results vary across subfields and over time. Someone aiming for a tenured job after 2010 should by then (average over all fields) have 3.3 standardized Top 5 papers or 5 standardized EER papers.
Cement mill optimization: design parameters selection of the LQG controller

The cement milling circuit can be seen as a two inputs/two outputs system. The designed multivariable control is based on a LQ controller and a Kalman filter. The authors' main goal is to choose the four design parameters (two diagonal weighting matrices) in order to achieve good performances in terms of rise time, deviation and overshoot. The authors have experimented with several selection methods. The paper compares different approaches and shows the latest developments concerning the best of them.
Engineering Optimization: An Introduction with Metaheuristic Applications

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.
Multiresolution scalable image and video segmentation

Due to the popularity of multimedia applications, many efforts have been directed towards presenting new services and functionalities such as interactivity, manipulation, content-based retrieval, scalability, etc. Object-based image/video representation and processing is one of the approaches considered to meet these desired functionalities. However, semantic image and video segmentation is one of the unresolved challenges of this approach. Although many works on segmentation have contributed towards this goal, there are still numerous areas requiring further research. In this work, a comprehensive range of image and video segmentation algorithms, including low and high level phases, are proposed, tested and analysed. In the low level phase, the image/frame is partitioned into homogeneous regions while in the high level phase , the “objects-of-interest” are extracted. The proposed algorithms are useful for generic segmentation applications, in particular for scalable coding, which distributes information over heterogeneous networks. One of the requirements of the scalable coding is that the shapes of an object produced at different resolutions should be similar, more precisely, the low resolution objects should be the down sampled version of the higher resolution objects. A multidimensional processing integrated with the multiresolution segmentation processing reduces computational complexity and provides a scalability feature for the extracted objects/regions at different resolutions, which is necessary for the scalable coding algorithms. Including smoothness as a visual quality criterion in the segmentation and classification algorithms improves the visual effect of the segmentation results. To meet the scalability and smoothness constraints, a Markov Random Field (MRF) framework with enough flexibility to meet the constraints is utilised. The proposed
Modelling and optimization of receiver oriented multi-user MIMO downlinks for frequency selective channels

This paper focuses on mobile radio downlinks in which an access point (AP) supports a number of mobile terminals (MTs). As a special feature of the considered downlinks, both the AP and each MT are equipped with multi-antennas so that each of the partial downlinks from the AP to one of the MTs has a MIMO (Multiple Input Multiple Output) structure, and the total downlink is one of the type multi-user MIMO. First, a generic mathematical model for such downlinks was developed, which allowed the inclusion of frequency selective channels. Then, receiver oriented multi-user MIMO downlinks were introduced which were characterized by the fact that, in contrast to conventional downlinks, the algorithms to be utilized in the receivers were a priori determined, whereas the transmitter algorithms resulted a posteriori based on the receiver algorithms and on channel state information. The rationale behind receiver orientation implies the opportunity to transfer implementation complexity from the MTs to the AP and was specially suited for mobile radio systems utilizing the duplexing scheme TDD (Time Division Multiplexing). A favorable choice of the receiver algorithms was proposed, and the theoretical findings were completed by some illustrative simulation results.
NMR Probeheads for Biophysical and Biomedical Experiments: Theoretical Principles and Practical Guidelines

Relating the NMR Receiving/Transmitting Coil(s) to the Spectrometer Matching the Probe Resonator to 50 Balancing the Probe Head Quadrature Driving Multiple Frequencies Tuning Magnetic Field Amplitude Estimation Homogeneous Resonators Heterogeneous Resonators. Combination of Coils Adjusting, Evaluating, Testing and Debugging the Probe Useful Information Appendices: Solving the Impedance Matching Calculation of the Current Distribution Calculation of the Magnetic Field Distribution A Simple Linear Network Analysis Program.
Knowledge management practices and enablers in public universities: a gap analysis

Purpose – The purpose of this paper is to examine the gap between knowledge management (KM) practices and key strategic enablers in public universities. For this purpose, a 57‐item survey on two dimensions – “use” and “importance” – was used as the instrument for this study.Design/methodology/approach – The questionnaire was administered to academics of four public universities which fall under the Malaysian Technical University Network.Findings – The results from 191 responses show that the academics of public universities find the KM practices and key strategic enablers to be important but are not used as much.Research limitations/implications – This research has overcome the gaps identified through the use of a set of KM practices and key strategic enablers. These variables could be replicated in different settings, across different economies, with the possibility of incorporating more constructs. The small sample size and the cross‐sectional nature of the study suggest that a larger sample size throug.
Soft Systems Methodology: An Inclusive Informatics Re-Design Approach for a New Economy

The research study focuses on the application of Soft Systems Methodology (SSM) to develop a collaborative user-centered approach within the context of organizational learning, and concludes with suggestions of further research. More specifically, it explores library users’ and academic librarians’ ideal characteristics for the library discovery and access services mediated through the Online Public Access Catalogue (OPAC) of the Academic Library of the School of Philosophy at Athens University in Greece. SSM’s applied theories and design processes guide the collaborative re-design of a more user-centered library information system. Recommendations discuss the efficacy of this approach, which expresses systems thinking and guides inclusive social learning, which reflect the characteristics of New Economy informatics.
Distributed Computing: Fundamentals, Simulations and Advanced Topics

1. Introduction.PART I: FUNDAMENTALS.2. Basic Algorithms in Message-Passing Systems.3. Leader Election in Rings.4. Mutual Exclusion in Shared Memory.5. Fault-Tolerant Consensus.6. Causality and Time.PART II: SIMULATIONS.7. A Formal Model for Simulations.8. Broadcast and Multicast.9. Distributed Shared Memory.10. Fault-Tolerant Simulations of Read/Write Objects.11. Simulating Synchrony.12. Improving the Fault Tolerance of Algorithms.13. Fault-Tolerant Clock Synchronization.PART III: ADVANCED TOPICS.14. Randomization.15. Wait-Free Simulations of Arbitrary Objects.16. Problems Solvable in Asynchronous Systems.17. Solving Consensus in Eventually Stable Systems.References. Index.