Miracle-dz/UniFAR-FTUs huggingface dataset:
FolksOntology : An Integrated Approach for Turning Folksonomies into Ontologies

We can observe that the amount of non-toy domain o ntol gies is still very limited for many areas of interest. In contras t, folksonomies are widely in use for (1) tagging Web pages (e.g. del.icio.us), ( 2 annotating pictures (e.g. flickr), or (3) classifying scholarly publications (e.g. bibsonomy). However, such folksonomies cannot offer the expressivity of ontologies, and the respective tags often lack a context-independent an d intersubjective definition of meaning. Also, folksonomies and other unsupervis d vocabularies frequently suffer from inconsistencies and redundancies. In th is paper, we argue that the social interaction manifested in folksonomies and i their usage should be exploited for building and maintaining ontologies. Then, we sketch a comprehensive approach for deriving ontologies from folksonomies by integrating multiple resources and techniques. In d etail, we suggest combining (1) the statistical analysis of folksonomies, assoc iated usage data, and their implicit social networks, (2) online lexical resour ces like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies and Semantic W eb resources, (4) ontology mapping and matching approaches, and (5) f unctionality that helps human actors in achieving and maintaining consensus over ontology element suggestions resulting from the preceding steps.
The Flipped Classroom

The flipped classroom has been gaining popularity in recent years. In theory, flipping the classroom appears sound: passive learning activities such as unidirectional lectures are pushed to outside class hours in the form of videos, and precious class time is spent on active learning activities. Yet the courses for information systems (IS) undergraduates at the university that the author is teaching at are still conducted in the traditional lecture-in-class, homework-after-class style. In order to increase students' engagement with the course content and to improve their experience with the course, the author implemented a trial of the flipped classroom model for a programming course with pair programming as the predominant in-class active learning activity. Student feedback on this pedagogy was generally very positive with many respondents considering it effective and helpful for learning. One of the biggest advantages mentioned by students is that they had the option to watch each video lecture as many times as required to be prepared for class. The author also observed that students were more engaged and empowered to take on more ownership for their learning. He recommends that other instructors consider rolling out their own trials of the flipped classroom incrementally for courses that would benefit the most from this pedagogy.
DISTRIBUTED ANOMALY INTRUSION DETECTION SYSTEM BASED ON MULTI-AGENTS

Networks have the problem of security attacks like denial of service attacks and others. The firewalls and encrypted software’s does not provide a complete security solution for those attacks. Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security system. Due to the variety of network behaviors and the rapid development of attack fashions, it is necessary to develop fast machine-learning-based intrusion detection algorithms with high detection rates and low false-alarm rates. In this paper, we have proposed an effective Intrusion Detection System in which local agent collects data from its own system and it classifies anomaly behaviors using SVM classifier. Each local agent is capable of removing the host system from the network on successful detection of attacks. The mobile agent gathers information from the local agent before it allows the system to send data. Our system identifies successful attacks from the anomaly behaviors. Experimental results show that the proposed system has high detection rate and low false alarm rate which encourages the proposed system.
Towards a more scientific way of studying multicultural management

In recent years, the management of cultural diversity has become a popular topic within management in general and organisational behaviour and human resource management in particular. The progressive movement of the world into the post-modern era calls for a comprehensive, practical and realistic strategy to change not only the demographics of organisational members and their attitudes, but also the way in which multicultural organisations are managed. Controversies and uncertainties regarding current outcomes still prevail, possibly because of a lack of application of more scientific management styles and methodologies. Management approaches often appear to be based on unfounded assumptions, superficial observations and simplistic assessments. As a result, the derived outcomes are incongruent, oversimplistic, unrealistic and unreliable. To ensure the success of organisations in the growing global market, managers need to establish an effective approach to managing cultural diversity. This article examines some of the traditional concepts of culture and cultural diversity and employs illustrative empirical data to suggest a more scientific approach to the measurement of cultural diversity and its impact on the work environment and management.
Apparent violation of the conductivity sum rule in certain superconductors

It is pointed out that the Ferrell-Glover-Tinkham sum rule relating the "missing area" in the low frequency conductivity to the penetration depth can be violated in certain superconductors. Its breakdown indicates that the effective mass of the carriers changes in entering the superconducting state, and implies a change in the conductivity at frequencies much higher than the superconducting gap, possibly near infrared or visible. The model of hole superconductivity predicts the occurrence of this phenomenon.
Aggregate load models for demand response: Exploring flexibility

This paper describes new aggregate load models of batteries, electric vehicles (EVs) and deferrable appliances (DAs), for use in demand response (DR). Compared to other models that have previously appeared in the literature, the low order models we propose aggregate large populations of devices that share certain parameters. The models also reveal various characteristics of populations of DR devices, such as aggregate energy demand, flexibility and ramping potential. We further look at the different ways the aggregate model consumes energy, identify strategies that bound all others in terms of stored energy and use those to predict the future feasible operating region.
Towards a Definition of the Integration of ICT in the Classroom

It is self-evident to suggest that how something is understood and defined and when and where it is used determines how it is measured. The way that ICT integration is currently being measured is premised on these notions. A rethinking of the measurement of ICT integration needs a parallel rethinking of what the term "integration" means and arguably a clearer understanding of the role and level of mediation of the technology itself. The theoretical purpose of this paper is to problematise the concepts which underpin the measurement of ICT integration and in turn, threaten to restrict the adoption of consistent and generally-applied definitions of terms. The logistical purpose of this paper is to serve as the introduction to a conference symposium on the measurement of integration of ICT in Australian classrooms. The paper will offer an environmental scan of the research into the defining and measuring of ICT integration.
Myocardial architecture and ventricular arrhythmogenesis.

Conduction of the cardiac impulse is dependent on both the active membrane properties of cardiac cells (generating the action potential) and the passive properties determined by architectural features of the myocardium. The influence of tissue architecture on conduction is determined principally by the size, shape, and packing of individual myocytes and by the quantity, three-dimensional distribution, and physiological behavior of the specialized intercellular junctions responsible for impulse propagation from cell to cell, the gap junctions.1 It has long been recognized that abnormalities in conduction of the cardiac impulse are an important cause of arrhythmias2 in that they alter the relationships between conduction velocity, path length, and recovery of excitability (the determinants of reentrant excitation). However, it was not until more recently that myocardial architecture was considered important in determining patterns of activation and conduction velocity3 4 and was therefore thought to have a central role in arrhythmogenesis,5 and some of the evidence for this forms the basis of this review. ### Myocardial Syncytium: Anisotropy of Structure and Function The early observation that conduction properties in myocardium were different in different directions,6 with more rapid conduction in the direction parallel to the myocardial fiber axis than in the transverse direction (the definition of the anisotropic conduction characteristic of heart muscle [Figure 1⇓]), is attributable principally to the lower resistivity of myocardium in the longitudinal than the transverse direction. Gap-junctional channels create continuity between the cytoplasmic compartments of abutting myocytes but act as resistive discontinuities to the cytoplasmic current flow between the intracellular compartments of the cells (the “intracellular” conduction pathway). Longitudinal resistivity is lower than transverse because this intracellular pathway encounters fewer cell boundaries per unit distance in the longitudinal than the transverse direction. In normal ventricular myocardium, conduction in the direction parallel to the long axis of the myocardial fiber bundles …
Integrable models and degenerate horizons in two-dimensional gravity

We analyse an integrable model of two-dimensional gravity which can be reduced to a pair of Liouville fields in conformal gauge. Its general solution represents a pair of ``mirror'' black holes with the same temperature. The ground state is a degenerate constant dilaton configuration similar to the Nariai solution of the Schwarzschild-de Sitter case. The existence of $\phi=const. $ solutions and their relation with the solution given by the 2D Birkhoff's theorem is then investigated in a more general context. We also point out some interesting features of the semiclassical theory of our model and the similarity with the behaviour of AdS$_2$ black holes.
An Improved General Upper Bound for All-Terminal Network Reliability

The exact calculation of all-terminal network reliability is an NP-hard problem, precluding its use in the design of optimal network topologies for problems of realistic size. This paper presents an improved upper bound for allterminal network reliability that is significantly more general than previously published bounds as it allows arcs of different reliabilities. The bound is calculated in polynomial time, making it computationally practical for large networks. The bound’s effectiveness is demonstrated on 108 network problems for both identical arc reliabilities and differing arc reliabilities. It is shown that the new bound yields statistically better results than a previously published bound with no increase in computational effort, and more importantly, the new bound can be used for network design problems that may include arcs with different reliabilities.
The Affinity of the Dynein Microtubule-binding Domain Is Modulated by the Conformation of Its Coiled-coil Stalk*[boxs]

The microtubule-binding domain (MTBD) of dynein is separated from the AAA (ATPase with any other activity) core of the motor by an ∼15-nm stalk that is predicted to consist of an antiparallel coiled coil. However, the structure of this coiled coil and the mechanism it uses to mediate communication between the MTBD and ATP-binding core are unknown. Here, we sought to identify the optimal alignment between the hydrophobic heptad repeats in the two strands of the stalk coiled coil. To do this, we fused the MTBD of mouse cytoplasmic dynein, together with 12-36 residues of its stalk, onto a stable coiled-coil base provided by Thermus thermophilus seryl-tRNA synthetase and tested these chimeric constructs for microtubule binding in vitro. The results identified one alignment that yielded a protein displaying high affinity for microtubules (2.2 μm). The effects of mutations applied to the MTBD of this construct paralleled those previously reported (Koonce, M. P., and Tikhonenko, I. (2000) Mol. Biol. Cell 11, 523-529) for an intact dynein motor unit in the absence of ATP, suggesting that it resembles the tight binding state of native intact dynein. All other alignments showed at least 10-fold lower affinity for microtubules with the exception of one, which had an intermediate affinity. Based on these results and on amino acid sequence analysis, we hypothesize that dynein utilizes small amounts of sliding displacement between the two strands of its coiled-coil stalk as a means of communication between the AAA core of the motor and the MTBD during the mechanochemical cycle.
Head and hands 3D tracking in real time by the EM algorithm

This paper presents a method for real time hand and head tracking, in three dimensions, using two cameras. This tracking is intended as a first step for a gesture recognition system, using the trajectories of the hands, or as input to a real time clone animation system. The method used is based on simple preprocessing followed by the use of a statistical model linking the observations to the parameters: the position of the hands and the head. Preprocessing consist of background subtraction followed by skin color detection, using a simple color lookup table. The statistical model is composed of three ellipsoids, one for each hand and one for the head. A Gaussian probability density with the same center and size is associated with each ellipse. The parameters of the model are adapted to the pixel detected by the preprocessing stage. The EM algorithm is used to obtain the parameters corresponding to the maximum of the likelihood. The hands and head tracking is realized in near real time on a single workstation.
dFtree: a fat-tree routing algorithm using dynamic allocation of virtual lanes to alleviate congestion in infiniband networks

End-point hotspots can cause major slowdowns in interconnection networks due to head-of-line blocking and congestion. Therefore, avoiding congestion is important to ensure high performance for the network traffic. It is especially important in situations where permanent congestion, which results in permanent slowdown, can occur. Permanent congestion occurs when traffic has been moved away from a failed link, when multiple jobs run on the same system, and compete for network resources, or when a system is not balanced for the application that runs on it. In this paper we suggest a mechanism for dynamic allocation of virtual lanes and live optimization of the distribution of flows between the allocated virtual lanes. The purpose is to alleviate the negative effect of permanent congestion by separating network flows into slow lane and fast lane traffic. Flows destined for a end-point hot-spot is placed in the slow lane and all other flows are placed in the fast lane. Consequently, the flows in the fast lane are unaffected by the head-of-line blocking created by the hot-spot traffic. We demonstrate the feasibility of this approach using a modified version of OFED and OpenSM with fat-tree routing on a small InfiniBand cluster. Our experiments show an increase in throughput ranging from 150% to 468% compared to the conventional fat-tree algorithm in OFED.
The Social Origins of ESG: An Analysis of Innovest and KLD

This article uses the study of two environmental, social, and governance (ESG) data vendors—KLD and Innovest—to exemplify the “social origins of ESG issues” argument made by Eccles and Stroehle in their 2018 working paper “Exploring Social Origins in the Construction of ESG Measures. ” Based on in-depth interviews with the organizations’ founders and historical document analysis, we recap the history of the cases and show how different origins, philosophies, and “purposes” of ESG issues shaped the methods and data characteristics of two of the most important data vendors of their time. We discuss why MSCI chose to continue with the financial value–oriented methodology of Innovest while discontinuing the values-driven KLD methodology. Through an in-depth literature analysis, we further show that not only the creation but also the use of “nonfinancial performance” concepts rely on processes of social construction. We also show that investors use different ESG data from those used by academics, potentially leading to misaligned narratives. Finally, with this article we join the call for more explicit contextualization of ESG data, highlighting that both practitioners and academics need to better understand the social construction that underlies analyses that use different concepts of ESG.
Changes in cytoskeletal gene expression affect the composition of regenerating axonal sprouts elaborated by dorsal root ganglion neurons in vivo

The effect of a change in neurofilament (NF) and tubulin gene expression on the elongation of axonal sprouts by adult rat sensory neurons was examined. Distal sciatic nerve crush axotomy was used to initiate changes in cytoskeletal gene expression in lumbar dorsal root ganglion (DRG) neurons. In situ hybridization of DRG neurons with 35S- labeled cDNA probes revealed a significant reduction in the level of mRNAs for the low-molecular weight-NF protein and a significant increase in the level of beta tubulin mRNAs by 2 weeks after axotomy. A novel modification of the axonal transport paradigm was used to examine the biochemical composition of the regenerating axons formed by primed and unprimed DRG neurons. Primed neurons (which had sustained a crush axotomy of the distal sciatic nerve 2 weeks earlier) and unprimed (normal) neurons were labeled by microinjection of 35S-methionine and then stimulated to regenerate axons by a crush located very close to the DRG. In this paradigm, axonal sprouts that formed after the proximal crush axotomy incorporated radiolabeled, slow axonally transported proteins as they elongated. Fluorographs of SDS-PAGE revealed that the regenerating axonal sprouts of primed DRG cells incorporated and conveyed significantly less labeled NF protein than did the regenerating axons of unprimed DRG neurons. Electron microscopy revealed that the regenerating axonal sprouts of primed DRG cells contained numerous microtubules but very few identifiable NFs compared with the regenerating sprouts of unprimed DRG neurons. (ABSTRACT TRUNCATED AT 400 WORDS)
A Transaction Model with Multilevel Consistency for Shared Data in Distributed Groupware Systems

In groupware systems a broad range of requirements for user coordination and data consistency need to be supported. The notions of event causality and user awareness are central in such requirements. Traditional transaction models supported in general purpose database management systems with strong consistency guarantees have been found to be unsuitable for groupware systems. Weaker models for data consistency are needed for user awareness and cooperative activities. Objects in the shared workspace need to be managed with different consistency guarantees. Towards such requirements, we examine here the applicability of a distributed transaction management model which supports multilevel consistency. The consistency levels supported in this model include serializable transactions for strong consistency and weaker consistency models such as Causal Snapshot Isolation (CSI), CSI with commutative updates, and CSI with asynchronous updates. We review the coordination and data consistency requirements in groupware systems. We show using two examples how replicated shared data in distributed groupware systems can be managed with multiple consistency levels using this model.
The culture differences on web design: a study of Taiwan's and United States' websites

The internet is a global phenomenon that human transmits information almost simultaneously. Thus websites have become a critical communication media not only for international business but also for society. Even though websites are globally accessible, users from different cultures may have different preferences and perceptions. By using Taiwan as a case to study for culture and web design, this thesis aims to find the design characteristics of Taiwan’s websites that are uniquely Taiwanese. It will also examine how cultural differences influences web design by comparing Taiwan’s websites and those of United States’ will be used to study according to Hofstede’s cultural dimensions theory. Quantitative analysis will be used to study the differences between two the cultures. The result of this thesis shows how the websites are influenced by the culture. A discussion of the findings and recommendations for future culture studies in web design are also included.
Performance of relay cyclic delay diversity in multicarrier system

In this paper, the performance of a cooperative relaying scheme with cyclic delay diversity (CDD) for an orthogonal frequency division multiplexing (OFDM) system is investigated. The system under consideration consists of multiple single-antenna terminals acting as relays and cooperating to provide spatial diversity. Cyclic shift is introduced at each relay and thus increase the frequency selectivity of relay channels. To exploit a highly selective channel, convolutional code is employed together with OFDM. Simulations demonstrate the bit error performance of the proposed scheme with different numbers of relays as well as performance in flat and frequency selective fading channels. The performance of the system is also compared to conventional multiple-input multiple-output (MIMO) with CDD and a conventional amplify-and-forward (AF) relay system. The results indicate that the proposed scheme provides enhanced performance under various considerations.
Classification of visually evoked potentials using extreme learning machine to command an intelligent robot chair with communication aid

In recent years, EEG-based technology has become more popular in producing variety of BMI protocols for wheel chair navigation and communication systems. In this research work, as an initial step towards the development of an intelligent navigation system with a communication aid, a simple EEG data capturing procedure has been introduced using visually evoked potentials. A simple, visually evoked brain wave data acquisition protocol has been developed with seven basic tasks; that can be used for navigating a robot chair and also for communications using the oddball paradigm. In this study, ten participants were participated in the data acquisition protocol. The proposed system records the 8-channel electroencephalography signal while the subject was perceiving the seven different visual tasks. The recorded brain wave signals are pre-processed to remove the interference waveforms and segmented into six frequency bands signals, i.e. Delta, Theta, Alpha, Beta, Gamma 1-1 and Gamma-2. The segmented frequency band signals are used to extract the features using cross correlation algorithm extracted over two consecutive frames. Further, statistical features such as Maximum, Minimum, Standard Deviation and Mean features are formed as features set and used to classify using Online Sequential - Extreme Learning Machine. Further, the classification models are compared and from the results it is observed that mean feature set hits the mean maximum testing accuracy of 85.54 % and Standard deviation feature set hits the mean minimum classification accuracy of 73.47 %.