Miracle-dz/UniFAR-FTUs huggingface dataset:
Challenge and Retention in Games.

Author(s): Debeauvais, Thomas | Advisor(s): Lopes, Cristina V | Abstract: Game designers and researchers agree that the main motivation for starting playing a game is challenge. It is only a small step to say that when the game becomes too difficult, players can become frustrated and quit. While extensive work shows that challenge is central in player enjoyment, its influence on player retention has received little attention. Establishing this influence is difficult for several reasons: (i) Definitions of challenge tend to be game- or genre-specific. (ii) Measuring retention accurately requires real-life data, which is often hard to access. (iii) Challenge can be intertwined with other factors, such as social interactions in multi-player games.Addressing these three limitations requires a mixed-method, holistic, and cross-game approach paying close attention to the game mechanics. Therefore, we use a diverse mix of data sources, ranging from interviews to online questionnaires and telemetry logs, to explore player behavior in five games: Ragnarok Online, World of Warcraft, Forza Motorsport 4, Jelly Splash, and an undisclosed commercial mobile game.This work provides empirical evidence that challenge does influence retention, and that many contextual factors, namely player segments, social interactions, time, and money, nuance and mediate this influence.These findings may help game developers make better games, expand our knowledge of challenge, retention, and their relationship, and improve the bottom-line of game companies by making games more engaging and players stay longer.
D ATA LOSS MINIMIZATION FOR FILE SYSTEM CRASH RECOVERY USING PERSISTENT MAIN MEMORY

System failure always happens due to power outage, there would lost many data if power outage occurs. Even there have some methods like UPS to prevent data loss, but it costs too high. We proposed a technique based on battery-backed memory to protect file systems from losing data across power failures and guaranteed file system integrity. The idea is simple: when power restores after a power outage, our method salvages modified but unwritten data by scanning and parsing the contents in memory. We have implement our method on Ext3 file system and improve recovery ability compared to the ordinary file system recovery. Besides, our approach is also beneficial to integrity-aware applications like databases.
Extraction de Caractéristiques du signal EEG

EEG signals are highly correlated, both in space (electrodes) and time (samples). Feature extraction indicates a wide range of signal processing methods to represent EEG signals by a small set of non-redundant values, named features. EEG feature extraction is usually described as the second signal processing step of EEG-based BCI design: it follows EEG pre-processing and is followed by classification, which will identify the class to which the EEG signal belongs, e.g., the user mental state. This chapter is an introductory overview on feature extraction methods. We will show how to extract relevant and robust spectral, spatial and temporal features from noisy EEG signals in order to classify them more efficiently. We will cover classical feature extraction methods such as band-power and time-embedded features, as well as spatial filtering methods such as the Common Spatial Patterns (CSP) and xDAWN. We will also briefly introduce a recent and promising alternative approach based on Riemannian information geometry. The overall objective of this chapter is to provide the reader with practical knowledge about how to extract features from EEG signals for BCI purposes, as well as to stress the key points of each approach.
The Implementation of Knowledge Strategy - Based Entrepreneurial Capacity to Achieve Sustainable Competitive Advantage

This study aims to develop a model of knowledge strategy-based entrepreneurial capacity to achieve sustainable competitive advantage of rurol banking in Central Java province. The sampling method is ‘‘Purposive sampling’’ by considering the characteristics of the population items, namely: operational experience for at least 5 years and representatives of each area of rurol banking in Semarang, Surakarta and Purwokerto.Then, the sample size is 150 of 251(59.7%) of top managers of rurol banking. To analyze the data in this study the Structural Equation Modeling (SEM) is applied. The findings of this study explain that 1) The first step in promoting a sustainable competitive advantage through knowledge sharing is by prioritizing the quality of interaction, willingness and ability; 2) Efforts to improve a sustainable competitive advantage through knowledge exploitation built by knowledge sharing are by prioritizing to actively accept changes and introduction, solve problems together, use and combine new knowledge in operation; 3) Efforts to improve a sustainable competitive advantage through the knowledge exploitation built by risk-taking are by prioritizing a strong tendency for high-risk projects (with the possibility of gaining high-return), a high courage for the actions necessary to achieve the goal, having an aggressive attitude to optimize the possibility of utilizing existing potential opportunities and enjoying the challenge of the risk situation; 4) Efforts to improve a sustainable competitive advantage through knowledge exploitation built by a pro-active are by prioritizing to anticipate problem more quickly than competitors, future oriented, addressed by technology, launching product selectively and systematically search for new ideas; 5) Efforts to improve a sustainable competitive advantage through knowledge exploitation built by the innovativeness are by prioritizing the speed of developing products, the implementation of new technology and market development. DOI : https://doi.org/10.21632/irjbs.6. 2.73-87 Keywords: Innovativeness, Proactive, Risk-Taking, Knowledge Strategy, Sustainable Competitive Advantage
Abdominal Injury from Walnut Tree Fall

Fall from trees are rare and may lead to severe consequences [1]. Trees responsible for most of the deaths and injuries include the coconut palm, betel palm, mango, and breadfruit [2]. Fall from walnut tree is a significant occupational risk in Kashmir which is amenable to public health interventions [3]. Injuries due to falling from the walnut tree are not unusual in parts where it is grown. Most commonly implicated in tree fall injuries overall is the fall from walnut tree in Kashmir. In Kashmir, climbing walnut tree to harvest walnuts is an important part of rural life and the means of livelihood. The harvest season falls during the months of September and October. Adults climb to collect fruits from various trees but often children climb trees while playing and collecting fruits in excitement. The traditional method of harvesting the walnut crop is notorious for fall and inflicting injury. The conventional methods of climbing these trees and either using a long stick or is resorting to vigorous shaking to dislodge the fruit. Abdominal and chest trauma are also seen quite frequently [4]. Fall from walnut trees constitutes an important entity that leads to a significant mortality and morbidity amongst those engaged in fruit collection [5]. Trauma prevention programs directed toward heightened public awareness of these injuries during harvesting season are needed. The aim was to the profile of abdominal injury suffered from fall from walnut tree.
A Computer Experiment on Man-Machine Interaction

A man-machine interaction experiment in the real-time continuous control sense is presented. The computer program is given and described, together with some representative results with regard to plant order, display effects and training effects. In particular, the importance of the selection of the displayed variable is emphasized. The experiment has been helpful in the appreciation of the effects of display gain selection and the inclusion of the derivative terms in the displayed variable, as well as demonstrating the importances of plant order and operator training, by allowing time response shape and criterion value comparisons. The nature of the conclusions reached can be generalized to automatic control, helping students of control systems.
The Role of Organizational Leadership to Enhance Top 10 CSR Issues and Trends in the Global Economy

Research on leadership and its relationship with organizational performance have been carried out and not considered Corporate Social Responsibility (CSR) performance, especially in the field of community development (Comdev) and even done partially. This study aims to investigate the role of organizational leadership to enhance Top 10 CSR issues and trends in the global economy which defines roles and leadership competencies. Thirteen experts were involved in the Forum of Multi Stakeholder Corporate Social Responsibility (MSHCSR) through Focus Group Discussion (FGD). Data by cluster random sampling were statistically analyzed with Assumption Surfacing and Testing Strategy (SAST). The results showed from FGD experts stating if eight roles and eight competencies of the organization’s leadership is very important and influential to enhance Top 10 CSR issues and trends in the global economy. DOI : https://doi.org/10.21632/irjbs.7. 2.91-107 Keywords: CRS Issues and Trends, Organizational Leadership, Global Economy, Indonesia Mining Sector
New Heuristic for Scheduling of Independent Tasks in Computational Grid

The Scheduling of tasks on heterogeneous grid resources is known to be a NP-complete problem; therefore, to get a near optimal solution within finite duration, heuristics/metaheuristics are used for task scheduling instead of exact optimization methods. In this paper, we proposed a new heuristic method for scheduling of independent tasks on heterogeneous grid resources and compared the result with ten other scheduling heuristics. Benchmark instances of Expected Time to Complete (ETC) model, suggested by Braun [3] are used to test the proposed heuristic. New heuristics give best Makespan as well as Flow-time values under much prevalent consistent resource and task heterogeneity conditions.
Heterogeneous robot Swarm -- hardware design and implementation

Swarm robotics is one the most fascinating, new research areas in the field of robotics, and one of it's grand challenge is the design of swarm robots that are both heterogeneous and self-sufficient. This can be crucial for robots exposed to environments that are unstructured or not easily accessible for a human operator, such as a collapsed building, the deep sea, or the surface of another planet. In Swarm robotics; selfassembly, self-reconfigurability and self-replication are among the most important characteristics as they can add extra capabilities and functionality to the robots besides the robustness, flexibility and scalability. Developing a swarm robot system with heterogeneity and larger behavioral repertoire is addressed in this work. This project is a comprehensive study of the hardware architecture of the homogeneous robot swarm and several problems related to the important aspects of robot's hardware, such as: sensory units, communication among the modules, and hardware components. Most of the hardware platforms used in the swarm robot system are homogeneous and use centralized control architecture for task completion. The hardware architecture is designed and implemented for UB heterogeneous robot swarm with both decentralized and centralized control, depending on the task requirement. Each
Novel single-band and multi-band bandstop filters for modern wireless communication systems

The objective of this thesis is to introduce novel procedures and guidelines to design bandstop microwave filters for modern terrestrial and satellite wireless communication systems. Among all available microwave filter technologies, planar structures of microstrip and substrate integrated waveguide (SIW) are chosen, due to ease of fabrication, low profile, weight and manufacturing cost. Particularly, SIW structures are more attractive because they have a better insertion loss, quality factor, and power handling capability in comparison to their microstrip counterparts, and can also be easily integrated into other planar circuitries. A comprehensive hybrid analytic-optimization method is developed to synthesize any single-band as well as multi-band bandstop coupling matrix. In this method, the location of reflection zeros (RZs) and the attenuations in stopbands can be determined in advance. Several novel single-band, dual-band, and triple-band bandstop filters are designed using regular and ridged SIW resonators, in-line coupled singlet resonators, cross-coupled resonators, and bandstop stubs. The designed filters have fractional bandwidths up to 23% . Moreover, a tunable ridged SIW bandstop resonator and a tunable CPW resonator, etched into the top plate of the SIW transmission line, are
Understanding Cyber Risk and Cyber Insurance

In this manuscript we explore a range of perspectives being adopted by industry and regulators in order to classify cyber crime or cyber risk loss processes. The purpose of this is to better understand and discuss the emerging perspectives on this class of risk process in order to inform management practice, data collection and ultimately loss modelling. In the second part of the manuscript we discuss the emerging market of cyber risk insurance and the challenges faced by this market resulting from the diversity of insurance coverage on o er and uncertainty relating to potential exposures and vulnerabilities associated with this risk class. Furthermore, we discuss the challenge of moral hazard that can arise in developing such insurance markets. In the third section, the manuscript discusses regulator and industry responses to cyber risk management, mitigation and insurance. We conclude with insights and perspectives on whether cyber risk is a loss process that should be primarily covered by capital management practice, or whether it is better suited to an insurance mitigation or risk transfer based approach.
Perancangan MP3 Player dengan Visual C# 2010

Di era modern ini kehidupan manusia hampir tidak dapat dipisahkan dengan musik. Perkembangan dunia digital pun cukup berpengaruh terhadap perkembangan musik. MP3 merupakan format file musik yang sangat banyak diminati karena ukuran filenya yang kecil namun memiliki kualitas suara yang cukup bagus. Seiring perkembangan teknologi, kita bisa mendengarkan musik dengan berbagai macam perangkat seperti mobile phone, laprop, komputer, Music player dan lain-lain. Saat ini banyak sekali program MP3 Player yang disediakan oleh para pengembang baik yang bersifat gratis maupun berbayar. Kebanyakan orang hanya bergantung pada program yang sudah ada pada sistem operasi yang mereka install pada perangkat komputer mereka. Sehingga ide-ide kreatif para mahasiswa terutama pada bidang design user interface kurang berkembang. Kali ini akan dideskripsikan bagaimana merancang suatu program MP3 Player yang dapat digunakan pada perangkat komputer dengan sistem operasi windows 7 atau windows 8. Dengan merancang Program MP3 Player dengan Visual C# 2010 ini, diharapkan para mahasiswa dapat membuat sendiri MP3 Player yang sederhana dan sesuai dengan keinginannya. Bahasa pemodelan UML memiliki beberapa konsep dasar yang merupakan standar dalam berbagai pendekatan dalam solusi pemodelan. Konsep-konsep tersebut digunakan dalam penyeragaman analisa, perancangan, dan implementasi berbagai sistem perangkat lunak. Dengan menggunakan UML ini sebagai tools akan lebih memudahkan baik dalam perancangan maupun dalam memahami kebutuhan-kebutuhan user pada suatu program. Keywords— MP3 Player, Visual C# 2010
Signal processing and pattern recognition for an electric nose

The combination of an array of gas sensors with partially overlapping chemical sensitivities and an appropriate pattern recognition system can be used to identify odors. When exposed to a particular odorous compound or mixture, the response of the gas sensor array contains information that can be processed by a pattern recognition system in order to identify the odor. This emerging technology, called the electronic nose, offers a wide range of applications: environmental pollution monitoring, quality control of food products and rapid diagnosis of diseases, to mention a few. In order for the electronic nose to become a practical solution to real-world problems, advances in gas sensor technology and pattern recognition are required. This dissertation focuses on the signal processing and pattern recognition issues related to the electronic nose. We present a modular pattern recognition architecture composed of four building blocks: data preprocessing, feature extraction, classification and decision making. The preprocessing stage transforms the raw sensor data in order to compensate for the effects of sensor drift, compress the sensor transient response and improve sample to sample repeatability. The feature extraction stage makes use of inexpensive linear techniques to simultaneously reduce the dimensionality of the problem and emphasize the most discriminatory information for classification purposes. The classification stage takes the feature vector from an unknown sample and produces a label assignment along with a confidence level. The decision-making module oversees the classifier's operation and can modify the assignment if there is any application-specific information available, such as confidence thresholds or misclassification risks. Finally, we adopt a machine-learning approach to feature subset selection that improves the predictive accuracy of the pattern recognition system, reduces its complexity, speeds up the learning task and provides a way to customize sensor arrays for particular odor applications.
Half bridge Converter for Battery Charging Application

Integral part of modern day electric vehicle is power electronic circuits comprising of AC-DC converters and DC-DC converters. This project presents a charging circuit for batteries used in electric vehicle. The portion of DC-DC converters mainly handle the purpose of battery charging. The DC-DC converters include both isolated and non isolated ones. This project proposes isolated DC-DC converter for battery charging application with the concept of constant current charging. Here the current control strategy is mainly used for regulated current supply. In this paper a proto type of battery charger with half bridge converter is simulated in using matlab software and also the closed loop hardware implementation of proto type is
Does D&O insurance matter for stock price crash risk? Evidence from an Asian emerging market

Purpose The purpose of this paper is to address the opposing views of the relationship between directors’ and officers’ liability insurance (D&O insurance) and stock price crash risk in a major Asian emerging stock market. Design/methodology/approach This paper finds an endogenous relationship between D&O insurance and stock price crash risk. Hence, the two-stage least squares regression analysis is used to address the endogeneity issue when the relationship is examined. Moreover, this paper further controls the quality of other corporate governance mechanisms to investigate whether D&O insurance still has an effect on stock price crash risk. Findings The effect of D&O insurance coverage is significantly negatively related to firm-specific stock price crash risk in Taiwan. More importantly, even when the quality of other corporate governance mechanisms is controlled, the negative relationship between D&O insurance coverage and firm-specific stock price crash risk remains significant. The evidence supports that D&O insurance serves as an effective external monitoring mechanism, strengthens corporate governance, and thus reduces stock price crash risk. Originality/value Emerging Asian markets suffer a dearth of research on the relationship of D&O insurance coverage and the firm-specific stock price crash risk. Investigating the relationship in Taiwan, the present study fills the research void. The findings show that D&O insurance plays an important role in reducing stock price crash risk of Taiwanese firms even when other corporate governance mechanisms are in place.
Financial Expert CEOs and Earnings Management around Initial Public Offerings (IPOs)

We study whether the financial experience of chief executive officers (CEOs) is associated with earnings management around initial public offerings (IPOs). Examining the sample of U.S. initial public offerings (IPOs) from 2003 to 2011, we find that newly listed firms with financial expert CEOs are less likely to engage in earnings management than those with non-financial expert CEOs. We also document that for IPO firms managed by financial expert CEOs the at-issue earnings management is positively associated with future accounting performance and not significantly related to post-issue long-term stock abnormal returns. This indicates that financial expert CEOs tend to be informative in financial reporting in order to allow investors to properly gauge the fair value of the firm. Overall, our findings support the importance of CEO financial experience in the provision of higher quality financial reporting.
Tramp Ship Routing and Scheduling - Incorporating Additional Complexities

A tramp ship operator often has contracted cargoes that must be carried and seeks to maximize profit by carrying optional cargoes. Hence, tramp ships operate much like taxies following available cargo and not according to fixed route networks and itineraries as liner ships. Marine fuel is referred to as bunker and bunker costs constitute a significant part of daily operating costs. There can be great variations in bunker prices across ports so it is important to carefully plan bunkering for each ship. As ships operate 24 hours a day, they must refuel during operations. Therefore, route and schedule decisions affect the options for bunkering. Current practice is, however, to separate the two planning problems by first constructing fleet schedules and then plan bunkering for these fixed schedules. In this paper we explore the effects of integrating bunker planning in the routing and scheduling phase for a tramp operator sailing full shiploads, i.e. carrying at most one cargo onboard each ship at a time. We present a mixed integer programming formulation for the integrated problem of optimally routing, scheduling and bunkering a tramp fleet carrying full shiploads. Aside from bunker integration, this model also extends standard formulations by using load dependent costs, speed and bunker consumption. We devise a solution method based on column generation with a dynamic programming algorithm to generate columns. The method is heuristic mainly due to discretization of the continuous bunker purchase variables. We show that the integrated planning approach can increase profits and that the decision of which cargoes to carry and on which ships is affected by the bunker integration and by changes in bunker prices.
Geometric Fundamentals of Robotics (Monographs in Computer Science)

Find the secret to improve the quality of life by reading this geometric fundamentals of robotics monographs in computer science. This is a kind of book that you need now. Besides, it can be your favorite book to read after having this book. Do you ask why? Well, this is a book that has different characteristic with others. You may not need to know who the author is, how well-known the work is. As wise word, never judge the words from who speaks, but make the words as your good value to your life.