Miracle-dz/UniFAR-FTUs huggingface dataset:
從人際吸引(interpersonal attraction)的觀點談體育課中師生的互動

A. Main Factors of Attraction 1. Physical attraction We would like to believe that beauty is only skin deep, and therefore, a trivial determinant of liking. Indeed, when asked what they looked for in a potential date, most people put physical attractiveness at the bottom of their list. Elaine Hatfield randomly matched incoming students at the University of Minnesota for a blind date. The students previously had been given a battery of personality tests. Intelligence, masculinity, femininity, dominance, submission, dependence, independence, sensitivity and sincerity had little effect on liking. The one determinant of whether or not a couple liked each other and actually repeated their date was their physical attractiveness.
Anchor-Based Connectivity Aware Routing in VANETs

We propose a novel position-based routing protocol Anchor-based Connectivity Aware Routing (ACAR) for Vehicular Ad-hoc Networks (VANETs), which considers both buses and cars as vehicular nodes running in both clockwise and anti-clockwise directions. ACAR is a hybrid protocol, uses both the greedy forwarding approach and the carry-store-and-forward approach to ensure the connectivity of the routes. Our solution to situations, when the network is sparse and when any (source or intermediate) node left its initial position, makes this protocol better in city scenarios. We only consider Vehicleto-Vehicle (V2V) communication in which both the source and destination nodes are moving vehicles. Finally, we compare our protocol with A-STAR (one of the plausible connectivity aware routing protocol for city environment) and, the simulation results in NS-2 show that the packet delivery ratio of ACAR is better than A-STAR in all cases: either when the network is fully connected or when the network is sparse.
Smoking and Other Drug Characteristics of Aboriginal and Non-Aboriginal Prisoners in Australia

Introduction and Aim. Although tobacco and alcohol use have declined substantially in the Australian community, substance use among prisoners remains high. The aim was to compare the smoking, drug, and alcohol characteristics, sociodemographic profile, and general health of Aboriginal and non-Aboriginal male prisoners in a smoking cessation intervention. Design and Methods. This study was a descriptive cross-sectional analysis of data from 425 male prisoners who joined a quit smoking trial conducted at 18 correctional centres in NSW and Queensland using data collected by standardised self-report instruments. Results. Average age was 33 years with 15% from Aboriginal descent. Compared to non-Aboriginal prisoners, Aboriginal prisoners were significantly more likely to have left school with no qualifications, to have been institutionalised as a child, to be previously incarcerated, and commenced smoking at a younger age. The tobacco use profile of both groups was similar; most of them had a medium to high level of nicotine dependence, smoked roll your own tobacco, and were “serious” about quitting. Discussion and Conclusion. Despite differences in terms of sociodemographic characteristics and offending history, the smoking characteristics of Aboriginal and non- Aboriginal prisoners were similar. Incarceration offers an opportunity to encourage smoking cessation and reduction of drug use.
Boundary Conditions for Limited-Area Ensemble Kalman Filters

Abstract One aspect of implementing a limited-area ensemble Kalman filter (EnKF) involves the specification of a suitable ensemble of lateral boundary conditions. Two classes of methods to populate a boundary condition ensemble are proposed. In the first class, the ensemble of boundary conditions is provided by an EnKF on a larger domain and is approximately a random draw from the probability distribution function for the forecast (or analysis) on the limited-area domain boundary. The second class perturbs around a deterministic estimate of the state using assumed spatial and temporal covariance relationships. Methods in the second class are relatively flexible and easy to implement. Experiments that test the utility of these methods are performed for both an idealized low-dimensional model and limited-area simulations using the Weather Research and Forecasting (WRF) model; all experiments employ simulated observations under the perfect model assumption. The performance of the ensemble boundary condition .
Intelligent controller design and experimental implementation of nonlinear TORA system

The purpose of this paper is to design an intelligent controller and system experimental implementation for nonlinear translational oscillations with a rotational actuator (TORA) system. In this paper, an adaptive backstepping control scheme using wavelet-based neural networks (WNNs), called ABCWNN, is proposed for TORA system control. According to the estimations of the WNNs, the ABCWNN control is developed by backstepping design procedure such that the system output follows the desired trajectory. Based on the universal approximation ability, we use the WNN to estimate the system uncertainty including fractional force and parameter variance. For system development, the effect of frictional forces is discussed and solved by using the estimation of WNN. Based on the Lyapunov approach, the adaptive laws of WNNs' parameters are obtained. The experimental results are presented to demonstrate the effectiveness of our approach.
International learning in an international world

How do we support successful, lifelong learners and performers and help them competently respond to rapidly changing opportunities in the 21st century. The answer to this question lies in how well we understand audiences differentiated by key learning differences and consider how these differentiations influence winning learning and performance. Historically, cognitive-rich explanations have tended to underplay the dominant impact of affective and conative factors on thinking and learning. Recently, these dimensions have gained considerable importance as contemporary multidisciplinary research has begun to demonstrate how intentions and emotions can influence, guide, and, at times, override our thinking and other cognitive processes. More importantly, research suggests that intentions and emotions are a dominant, powerful influence on learner success.
Mediating Effect of Information between Entrepreneurial Networks and Performance: Evidence from Chinese New Ventures

Previous studies very rarely investigated the link between information and entrepreneurial performance. This study develops a model integrating entrepreneurial networks, information and performance to provide an entrepreneurial cognition perspective on Chinese new ventures. We examine the mediating effect of information between entrepreneurial networks and performance. Our empirical findings suggest that information plays a full mediating role between inter-firm networks and investment efficiency, while a partial mediating role between supporting networks and investment efficiency which then influences growth respectively.
Multiagent Q-Learning : Preliminary Study on Dominance between the Nash and Stackelberg Equilibriums

Some game theory approaches to solve multiagent reinforcement learning in self play, i.e. when agents use the same algorithm for choosing action, employ equilibriums, such as the Nash equilibrium, to compute the policies of the agents. These approaches have been applied only on simple examples. In this paper, we present an extended version of Nash Q-Learning using the Stackelberg equilibrium to address a wider range of games than with the Nash Q-Learning. We show that mixing the Nash and Stackelberg equilibriums can lead to better rewards not only in static games but also in stochastic games. Moreover, we apply the algorithm to a real world example, the automated vehicle coordination problem.
Explorer Munc 18-1 Protein Molecules Move between Membrane Molecular Depots Distinct from Vesicle Docking Sites

Publisher Rights Statement: "This research was originally published in the Journal of Biological Chemistry. Smyth, Annya M. ; Yang, Lei; Martin, Kirsty J.; Hamilton, Charlotte; Lu, Weiping; Cousin, Michael A. ; Rickman, Colin; Duncan, Rory R. Munc 18-1 Protein Molecules Move between Membrane Molecular Depots Distinct from Vesicle Docking Sites. Journal of Biological Chemistry. 2013; Vol. 288, pp. 5102-5113. © the American Society for Biochemistry and Molecular Biology. "
Bessel features for detection of voice onset time using AM-FM signal

Voice onset time is an important temporal feature which is often overlooked in speech perception, speech recognition as well as accent detection. The VOT in unvoiced stops varies with a number of factors, among which the most established one is the place of articulation. In this paper we propose an approach for the automatic detection of VOT. The proposed method uses Bessel expansion to emphasize the vowel and consonant regions of stop consonant vowel units (SCV) such as /ka/, /Ta/, /ta/ and /pa/. AM-FM signal has been emphasized after appropriate consideration of the range of Bessel coefficients, separately for the vowel and consonant regions of SCV units. The reconstructed signal from the Bessel expansion is a narrow-band AM-FM signal, therefore the amplitude envelope (AE) function for the emphasized signal can be estimated using discrete energy separation algorithm (DESA). For the detection of VOT, both the AE of vowel and consonat emphasized signal has been analyzed. Detection of VOT is analyzed for the continuous speech corpus consisting of recording television broadcast news bulletins.
Mortality and cancer incidence of aircraft maintenance workers exposed to trichloroethylene and other organic solvents and chemicals: extended follow up.

OBJECTIVES: To extend the follow up of a cohort of 14,457 aircraft maintenance workers to the end of 1990 to evaluate cancer risks from potential exposure to trichloroethylene and other chemicals. METHODS: The cohort comprised civilians employed for at least one year between 1952 and 1956, of whom 5727 had died by 31 December 1990. Analyses compared the mortality of the cohort with the general population of Utah and the mortality and cancer incidence of exposed workers with those unexposed to chemicals, while adjusting for age, sex and calendar time. RESULTS: In the combined follow up period (1952-90), mortality from all causes and all cancer was close to expected (standardised mortality ratios (SMRs) 97 and 96, respectively). Significant excesses occurred for ischaemic heart disease (SMR 108), asthma (SMR 160), and cancer of the bone (SMR 227), whereas significant deficits occurred for cerebrovascular disease (SMR 88), accidents (SMR 70), and cancer of the central nervous system (SMR 64). Workers exposed to trichloroethylene showed non-significant excesses for non-Hodgkin's lymphoma (relative risk (RR) 2.0), and cancers of the oesophagus (RR 5.6), colon (RR 1.4), primary liver (RR 1.7), breast (RR 1.8), cervix (RR 1.8), kidney (RR 1.6), and bone (RR 2.1). None of these cancers showed an exposure-response gradient and RRs among workers exposed to other chemicals but not trichloroethylene often had RRs as large as workers exposed to trichloroethylene. Workers exposed to solvents other than trichloroethylene had slightly increased mortality from asthma, non-Hodgkin's lymphoma, multiple myeloma, and breast cancer. CONCLUSION: These findings do not strongly support a causal link with trichloroethylene because the associations were not significant, not clearly dose-related, and inconsistent between men and women. Because findings from experimental investigations and other epidemiological studies on solvents other than trichloroethylene provide some biological plausibility, the suggested links between these chemicals and non-Hodgkin's lymphoma, multiple myeloma, and breast cancer found here deserve further attention. Although this extended follow up cannot rule out a connection between exposures to solvents and some diseases, it seems clear that these workers have not experienced a major increase in cancer mortality or cancer incidence.
Detection of DDoS attacks using Enhanced Support Vector Machines with real time generated dataset

An approach for combating network intrusion detection is the development of systems applying machine learning and data mining techniques. Many Intrusion Detection Systems (IDS) suffer from a high rate of false alarms and missed intrusions. The detection rate has to be improved while maintaining low rate of misses. The focus of this paper is to generate the Distributed Denial of Service (DDoS) detection dataset and detect them using the Enhanced Support Vector Machines. The DDoS dataset with various direct and derived attributes is generated in an experimental testbed which has 14 attributes and 10 types of latest DDoS attack classes. Using the generated DDoS dataset the Enhanced Multi Class Support Vector Machines (EMCSVM) is used for detection of the attacks into various classes. The performance of the EMCSVM is evaluated over SVM with various parameter values and kernel functions. It is inferred that EMCSVM produces better classification rate for the DDoS dataset with ten types of latest DDoS attacks when compared with the kddcup 99 dataset which has six types of DoS attacks.
The Orphan Receptor CRF2-4 Is an Essential Subunit of the Interleukin 10 Receptor

The orphan receptor CRF2-4 is a member of the class II cytokine receptor family (CRF2), which includes the interferon receptors, the interleukin (IL) 10 receptor, and tissue factor. CRFB4, the gene encoding CRF2-4, is located within a gene cluster on human chromosome 21 that comprises three interferon receptor subunits. To elucidate the role of CRF2-4, we disrupted the CRFB4 gene in mice by means of homologous recombination. Mice lacking CRF2-4 show no overt abnormalities, grow normally, and are fertile. CRF2-4 deficient cells are normally responsive to type I and type II interferons, but lack responsiveness to IL-10. By ∼12 wk of age, the majority of mutant mice raised in a conventional facility developed a chronic colitis and splenomegaly. Thus, CRFB4 mutant mice recapitulate the phenotype of IL-10–deficient mice. These findings suggest that CRF2-4 is essential for IL-10–mediated effects and is a subunit of the IL-10 receptor.
An implementation of compensation of interactions in a DeltaV automation system

Our laboratory teaches several basic and advanced systems and control engineering courses. The basic courses discuss SISO systems whereas the advanced courses cover more complex systems including the interactions among control signals. We have pieces of pilot-scale process equipment and process automation systems as DeltaV and Simatic S7. These means are utilized in basic laboratory exercises. On the other hand, the effect of compensation of interactions can be illustrated to students by applying these instrument.
Preserving receiver's anonymity for circular structured P2P networks

Some unique attributes of P2P networks such as cost efficiency and scalability, contributed for the widespread adaptation of these networks. Since P2P applications are mostly used in file-sharing, preserving anonymity of users has become a very important subject for researchers. As a result, a lot of methods are suggested for P2P networks to preserve anonymity of users. Most of these methods, by relying on established anonymous solutions on client/server applications, are presented for unstructured P2P networks. But structured overlays, by using Distributed Hash Tables (DHT) for their routing, do not resemble traditional paradigms. Therefore, current anonymous methods can not be implemented for them easily. In this paper, we introduce a novel methodology to provide receiver's anonymity for circular P2P structures. With this method, we get help from inherited features of network infrastructure to establish a standard way for making tunnels. Our purpose is to introduce a flexible design which is able to manage different parts of the tunnels on current infrastructures. For this purpose, we implement our method on top of Chord to show how such design can be managed for real world applications. The results of applied method on a chord-like network shows that by managing critical features of our method, a trade-off can be made between stronger security and performance of the network.
User-centered design for more efficient drill rig control system

This case study describes the methods and results from a user-centric research project developing new control system functionality for drill rigs. During the project we conducted contextual inquiries in an operative mine and structured usability tests with a drill rig simulator. As a result, an automatic control mode was developed to meet the rig operators' needs and will be available in 2014.
IEC 61499 as Enabler of Distributed and Intelligent Automation: State-of-the-Art Review

This review paper discusses the industrial and research activities around the IEC 61499 architecture for distributed automation systems. IEC 61499 has been developed to enable intelligent automation where the intelligence is genuinely decentralized and embedded into software components, which can be freely distributed across networked devices. With the recent emergence of professionally made software tools and dozens of hardware platforms, IEC 61499 is getting recognition in industry. This paper reviews research results related to the design of distributed automation systems with IEC 61499, the supporting tools and the aspects related to the execution of IEC 61499 on embedded devices. The promising application areas of IEC 61499 include flexible material handling systems, in particular airport baggage handling, flexible reconfigurable manufacturing automation, intelligent power distribution networks and SmartGrid, as well as the wide range of embedded networked systems.
Quantum crossover based quantum genetic algorithm for solving non-linear programming

Quantum computing proved good results and performance when applied to solving optimization problems. This paper proposes a quantum crossover-based quantum genetic algorithm (QXQGA) for solving non-linear programming. Due to the significant role of mutation function on the QXQGA's quality, a number of quantum crossover and quantum mutation operators are presented for improving the capabilities of searching, overcoming premature convergence, and keeping diversity of population. For calibrating the QXQGA, the quantum crossover and mutation operators are evaluated using relative percentage deviation for selecting the best combination. In addition, a set of non-linear problems is used as benchmark functions to illustrate the effectiveness of optimizing the complexities with different dimensions, and the performance of the proposed QXQGA algorithm is compared with the quantum inspired evolutionary algorithm to demonstrate its superiority.
Use of Optical Motion Capture in Sports Science: A Case Study of Golf Swing

The research aimed to explore and demonstrate the useful technique in creating the motion picture of golf swing movement for golf beginner utilizing the motion capture tool. The sample consists of three experts chosen by purposive sampling, while, the research tools applied in this research includes: 1) the golf swing movement and gesture for golf beginner demonstrated by the motion capture tool, and 2) the questionnaire with five-level rating-scale on the proper movement of golf swing movement which was verified by the experts for its reliability. In particular, the research outcome indicated that the creation of the motion picture of golf swing for the beginner comprises of 3 major parts as follows: 1) the motion capture tool setup, suitable and sufficient space for working, camera positioning, and the right number of reflex spots on the actor's body, 2) the golf swing movement capture divided into 3 patterns by the number of the reflex spots and each pattern was done for at least 5 times by golf professionals for the movement capture, and 3) the three 3D characters and motion picture in which the researchers created with similar ratio of real human and applied the captured movement data to construct the animation character skeleton before obtaining three sets of the golf swing animation divided by the number of reflex spots. Surprisingly, the research revealed the golf professionals' suggestion that most of the current movement of golf swing has been performed in improper manners. In this regard, this research suggested that to demonstrate the proper golf swing movement for golf beginner, the key factors was not only the number and position of reflex spots on the actor's body but also the certain regulation in utilizing the motion capture tools, and that the 3D characters, in most cases, should be created with similar ratio of body as a real human.
From Virtual Bodies to Believable Characters

AbstractThis paper presents an approach for creating believable characters. We use pre-defined animations and body postures that can be combined in real-timeto generate arich set of behaviours. Moreover, parameters like speed or spatial amplitude can alsobe modified in real-time to in¤uence the character’s movement. Our ultimate goalis to create reusable synthetic characters that are able to express their inner-feelingsusing bodily expression. 1 Introduction The last decade witnessed an impressive evolution of synthetic characters. The recent ad-vances in technology, particularly the continuous increase of performance in computers,lead to broad use of synthetic characters in several areas. Computer simulations are areality in many domains from warfare to rescue training. The use of synthetic charactersallows safe exercises without putting anyone into harm. In education, synthetic charactershave been used as tutors that are able to explain or guide a student through a task. Char-acters can also act as team-mates for individual training in tasks that need cooperation.In the cinema, the movie ”Toy Story” opened the door to a completely new generationof movies where the actors are computer generated. Recent examples are ”Shrek” and”Final Fantasy”. Computer games bring us every day a full hand of new gaming ex-periences where synthetic characters assume the main role. As a brief example, look at”Tomb Raider” and the impact of a character like ”Lara Croft”, or the amusing ”GuybrushThreepwood” from ”The Escape from Monkey Island”. Although purely fictional,these characters have a personality, likes and dislikes, friends, and many other things that dragus into the story and make us feel as a part of it. Computer games have also benefitedwith the development of accurate characters that simulate the reality, especially in sportsimulations. Games like ”FIFA” or ”NBA Live” have models for most of the players andit is quite pleasant to recognise a star like ”Figo” or ”Kobe Bryant”. Likewise, manysynthetic actors start to participate in artistic performances or TV shows, and start to playan important role in these domains. The future platforms of interactive TV and TV ondemand will offer a ”workplace” for many virtual presenters, virtual entertainers and vir-tual advertisers. We are entering a new era where synthetic characters need to be morehuman-like and, above all, more believable.The body assumes a natural relevance in this new generation synthetic characters.Humans, for instance, express their emotions and inner feelings with facial expressions,but also with gestures and behaviours that affect the body movement. If we take a close