Miracle-dz/UniFAR-FTUs huggingface dataset:
A semantic ontology-based document organizer to cluster elearning documents

Document clustering is a useful technique to organize large sets of documents into meaningful groups. The usefulness is appreciated by labeling the clusters with relevant words that describe their associated documents. The traditional approach for document clustering, i.e. bag-of-words representation, often ignores the semantic relations between terms. Hence, ontology-based document clustering is proposed. In the context of e-Learning, the richer annotation of learning materials, via the use of appropriate ontologies is a way to deal with the reusability and remix of learning objects. Through providing a semantic infrastructure that will explicitly declare the semantics and relations between concepts used in labeling learning objects, the desired quality in the learning offer can be ensured. This paper proposes an ontology-based document clustering approach based on two-step clustering algorithm and compares its performance with the conventional clustering. Ontology is introduced through defining a weighting scheme that integrates traditional scheme, i.e. co-occurrences of words, with weights of relations between words in ontology. Our experimental evaluations are performed on ICVL (International Conference on Virtual Learning) paper collection as dataset with e-Learning domain ontology as the background knowledge. The ontology was implemented by us through a different research. The results show that inclusion of ontology increases the clustering quality.
Dynamic submovement composition for motion and interaction control of a robot manipulator

The paper presents a novel control approach for robot motion and interaction control that is inspired by neuroscientific studies on the intermittency nature of motor control in humans. Robot motion is generated by dynamic sequences of elementary motion units (called submovements) that, on-line modulated, can achieve accurate motion or else force regulation. The submovement sequence generation is grounded on the adaptive behaviour of four oscillators. Control performance in free space and in interaction with a purely elastic environment can be managed by dynamically changing features of motion units in the current sequence. The theoretical formulation of the control strategy and the application to robot point-to-point motion in free and in constrained space are provided in this paper. Finally, a comparative analysis with a traditional PD control is carried out.
FGF: A web tool for Fishing Gene Family in a whole genome database

Gene duplication is an important process in evolution. The availability of genome sequences of a number of organisms has made it possible to conduct comprehensive searches for duplicated genes enabling informative studies of their evolution. We have established the FGF (Fishing Gene Family) program to efficiently search for and identify gene families. The FGF output displays the results as visual phylogenetic trees including information on gene structure, chromosome position, duplication fate and selective pressure. It is particularly useful to identify pseudogenes and detect changes in gene structure. FGF is freely available on a web server at http://fgf.genomics. org.cn/
Variability of automatic speech recognition systems using different features

The paper describes the use of two recognizers fed by different acoustic features. The first recognizer performs Multiple Resolution Analysis (MRA) while the other recognizer computes JRASTA Perceptual Linear Prediction Coefficients (JRASTAPLP). The two recognizers use the same denoising method but perform different partitions of their acoustic spaces. Experiments with the Italian and Spanish components of the AURORA3 corpus show that the two systems provide, in a significant proportion of cases, substantially different posterior probabilities for the same phoneme in the same time interval. A decision rule is proposed when two different words are hypothesized by the two recognizers. It is based on the probability that a hypothesis is correct, given the identity of the word hypotheses that are in competition. Significant word error rate (WER) reductions have been found for the CH1 proportion of the Italian and Spanish components of the AURORA3 corpus.
Inhibitory neuron‐specific Cre‐dependent red fluorescent labeling using VGAT BAC‐based transgenic mouse lines with identified transgene integration sites

Inhibitory neurons are crucial for shaping and regulating the dynamics of the entire network, and disturbances in these neurons contribute to brain disorders. Despite the recent progress in genetic labeling techniques, the heterogeneity of inhibitory neurons requires the development of highly characterized tools that allow accurate, convenient, and versatile visualization of inhibitory neurons in the mouse brain. Here, we report a novel genetic technique to visualize the vast majority and/or sparse subsets of inhibitory neurons in the mouse brain without using techniques that require advanced skills. We developed several lines of Cre‐dependent tdTomato reporter mice based on the vesicular GABA transporter (VGAT)‐BAC, named VGAT‐stop‐tdTomato mice. The most useful line (line #54) was selected for further analysis based on two characteristics: the inhibitory neuron‐specificity of tdTomato expression and the transgene integration site, which confers efficient breeding and fewer adverse effects resulting from transgene integration‐related genomic disruption. Robust and inhibitory neuron‐specific expression of tdTomato was observed in a wide range of developmental and cellular contexts. By breeding the VGAT‐stop‐tdTomato mouse (line #54) with a novel Cre driver mouse line, Galntl4‐CreER, sparse labeling of inhibitory neurons was achieved following tamoxifen administration. Furthermore, another interesting line (line #58) was generated through the unexpected integration of the transgene into the X‐chromosome and will be used to map X‐chromosome inactivation of inhibitory neurons. Taken together, our studies provide new, well‐characterized tools with which multiple aspects of inhibitory neurons can be studied in the mouse.
Connectivity, Cycles, and Persistence Thresholds in Metapopulation Networks

Synthesising the relationships between complexity, connectivity, and the stability of large biological systems has been a longstanding fundamental quest in theoretical biology and ecology. With the many exciting developments in modern network theory, interest in these issues has recently come to the forefront in a range of multidisciplinary areas. Here we outline a new theoretical analysis specifically relevant for the study of ecological metapopulations focusing primarily on marine systems, where subpopulations are generally connected via larval dispersal. Our work determines the qualitative and quantitative conditions by which dispersal and network structure control the persistence of a set of age-structured patch populations. Mathematical modelling combined with a graph theoretic analysis demonstrates that persistence depends crucially on the topology of cycles in the dispersal network which tend to enhance the effect of larvae “returning home. ” Our method clarifies the impact directly due to network structure, but this almost by definition can only be achieved by examining the simplified case in which patches are identical; an assumption that we later relax. The methodology identifies critical migration routes, whose presence are vital to overall stability, and therefore should have high conservation priority. In contrast, “lonely links,” or links in the network that do not participate in a cyclical component, have no impact on persistence and thus have low conservation priority. A number of other intriguing criteria for persistence are derived. Our modelling framework reveals new insights regarding the determinants of persistence, stability, and thresholds in complex metapopulations. In particular, while theoretical arguments have, in the past, suggested that increasing connectivity is a destabilizing feature in complex systems, this is not evident in metapopulation networks where connectivity, cycles, coherency, and heterogeneity all tend to enhance persistence. The results should be of interest for many other scientific contexts that make use of network theory.
Analysis of Pseudomonas aeruginosa Cell Envelope Proteome by Capture of Surface-Exposed Proteins on Activated Magnetic Nanoparticles

We report on specific magneto-capturing followed by Multidimensional Protein Identification Technology (MudPIT) for the analysis of surface-exposed proteins of intact cells of the bacterial opportunistic pathogen Pseudomonas aeruginosa. The magneto-separation of cell envelope fragments from the soluble cytoplasmic fraction allowed the MudPIT identification of the captured and neighboring proteins. Remarkably, we identified 63 proteins captured directly by nanoparticles and 67 proteins embedded in the cell envelope fragments. For a high number of proteins, our analysis strongly indicates either surface exposure or localization in an envelope district. The localization of most identified proteins was only predicted or totally unknown. This novel approach greatly improves the sensitivity and specificity of the previous methods, such as surface shaving with proteases that was also tested on P. aeruginosa. The magneto-capture procedure is simple, safe, and rapid, and appears to be well-suited for envelope studies in highly pathogenic bacteria.
Factorizing a String into Squares in Linear Time

A square factorization of a string w is a factorization of w in which each factor is a square. Dumitran et al. [SPIRE 2015, pp. 54-66] showed how to find a square factorization of a given string of length n in O(n log n) time, and they posed a question whether it can be done in O(n) time. In this paper, we answer their question positively, showing an O(n)-time algorithm for square factorization in the standard word RAM model with machine word size omega = Omega(log n). We also show an O(n + (n log^2 n) / omega)-time (respectively, O(n log n)-time) algorithm to find a square factorization which contains the maximum (respectively, minimum) number of squares.
The History and Development of the Inviting School Survey: 1995-2012

In recent years, research has shown that school climate is one of the most important contributors to student achievement, success, and psychological well-being. In order to make informed decisions regarding school development, it is paramount for a school administrator to aware of perceived school experience (school climate) of the major stakeholders in the school, namely students, administrators, teachers, parents, and the wider community The Inviting School Survey-Revised (ISS-R) purports to meet this need. Since 1995 the use of the ISS-R has grown from a few to over 10,000 participants (over 100 schools) in Asia, North America, Africa, and Australia. The following article outlines the history and development of the ISS-R from 1995 to 2012.
Epidemiology of bicycle injuries and risk factors for serious injury

Objective To determine the risk factors for serious injury to bicyclists, aside from helmet use. Design Prospective case-control study. Setting Seven Seattle area hospital emergency departments and two county medical examiner's offices. Patients Individuals treated in the emergency department or dying from bicycle related injuries. Measurements Information collected from injured bicyclists or their parents by questionnaire on circumstances of the crash; abstract of medical records for injury data. Serious injury defined as an injury severity score>8. Analysis Odd ratios computed using the maximum likelihood method, and adjusted using unconditional logistic regression. Results There were 3854 injured cyclists in the three year period; 3390 (88%) completed questionnaires were returned. 51% wore helmets at the time of crash. Only 22.3% of patients had head injuries and 34% had facial injuries. Risk of serious injury was increased by collision with a motor vehicle (odds ratio (OR)=4.6), self reported speed >15 mph (OR=1.2), young age (<6 years), and age >39 years (OR=2.1 and 2.2 respectively, compared with adults 20-39 years). Risk for serious injury was not affected by helmet use (OR=0.9). Risk of neck injury was increased in those struck by motor vehicles (OR=4.0), hospitalized for any injury (OR=2.0), and those who died (OR=15.1), but neck injury was not affected by helmet use. Conclusions Prevention of serious bicycle injuries cannot be accomplished through helmet use alone, and may require separation of cyclists from motor vehicles, and delaying cycling until children are developmentally ready.
Common Knowledge : Lessons from the Philadelphia Shared Services Initiative

Executive BLOCKINSummary Organizations and businesses improve performance by making productivity‐enhancing investments. So, for example, an early learning and child care center might make improvements to its facility to be more attractive to parents and thus maintain high enrollments. Or it might invest in professional development to improve its staff's performance. There are other ways to improve performance. One promising performance‐enhancing idea spreading in the field of early care and education is shared services. It is a profoundly counterintuitive concept. Rather than investing directly in the organizations that provide early care and education, shared services strategies rely primarily on external investments to achieve savings for a group of organizations, principally through outsourcing or economies of scale realized by centralizing administrative functions among multiple organizations. This monograph summarizes some key findings from the first phase evaluation of the Philadelphia Shared Services Initiative (PSSI or the Initiative), a project with the long‐term goal of improving the quality of early childhood education. The Initiative is noteworthy because it represents a departure from previous shared services practices by focusing on highly scalable knowledge‐rich services that can be delivered via the Internet. Although conceived to be like other shared services – a vehicle for cost‐saving – the Initiative's version of shared services has proved to be about sharing intangible knowledge assets rather than more tangible financial assets. The three web‐based program components – ECESharedResources, ChildWare, and ECEhire – function as sources of and conduits for knowledge. They present a menu of knowledge‐rich tools to improve the performance of early childhood programs. ECESharedResources is particularly significant because it has become a " knowledge commons. " The notion of the commons dates from medieval England when it was used to describe shared pasture on which manorial tenants grazed their livestock. Today it appears in connection with all types of shared resources. Lawyers refer to the " creative commons " to describe the relatively unrestricted right to use intellectual property. It crops up in environmental and resource management discussions of air pollution and fisheries. The term most frequently arises in discussions of " the tragedy of the commons " : the tendency of individuals, pursuing their own self‐interest, to overuse and deplete a shared resource. A knowledge commons is a reservoir of useful information, documents, and tools from which programs can freely draw. ECESharedResources saves teachers and administrators time. It also enables them to benefit from the accumulated experience …
Endothelin-1 Increases Vascular Superoxide via EndothelinA–NADPH Oxidase Pathway in Low-Renin Hypertension

Background—Angiotensin II–induced hypertension is associated with NAD(P)H oxidase–dependent superoxide production in the vessel wall. Vascular superoxide level is also increased in deoxycorticosterone acetate (DOCA)–salt hypertension, which is associated with a markedly depressed plasma renin activity because of sodium retention. However, the mechanisms underlying superoxide production in low-renin hypertension are undefined. Methods and Results—This study investigated (1) whether and how endothelin-1 (ET-1), which is increased in DOCA-salt hypertensive rats, contributes to arterial superoxide generation and (2) the effect of gene transfer of manganese superoxide dismutase and endothelial nitric oxide synthase. Both superoxide and ET-1 levels were significantly elevated in carotid arteries of DOCA-salt rats compared with that of the sham-operated controls. ET-1 concentration-dependently stimulated superoxide production in vitro in carotid arteries of normotensive rats. The increase in arterial superoxide in both ET-1–treated normotensive and DOCA-salt rats was reversed by a selective ETA receptor antagonist, ABT-627, the flavoprotein inhibitor diphenyleneiodonium, and the NADPH oxidase inhibitor apocynin but not by the nitric oxide synthase inhibitor N&ohgr;-l-arginine methyl ester or the xanthine oxidase inhibitor allopurinol. Furthermore, in vivo blockade of ETA receptors significantly reduced arterial superoxide levels, with a concomitant decrease of systolic blood pressure in DOCA-salt rats. Ex vivo gene transfer of manganese superoxide dismutase or endothelial nitric oxide synthase also suppressed superoxide levels in carotid arteries of DOCA-salt rats. Conclusions—These findings suggest that ET-1 augments vascular superoxide production at least in part via an ETA/NADPH oxidase pathway in low-renin mineralocorticoid hypertension.
QuickBundles, a Method for Tractography Simplification

Diffusion MR data sets produce large numbers of streamlines which are hard to visualize, interact with, and interpret in a clinically acceptable time scale, despite numerous proposed approaches. As a solution we present a simple, compact, tailor-made clustering algorithm, QuickBundles (QB), that overcomes the complexity of these large data sets and provides informative clusters in seconds. Each QB cluster can be represented by a single centroid streamline; collectively these centroid streamlines can be taken as an effective representation of the tractography. We provide a number of tests to show how the QB reduction has good consistency and robustness. We show how the QB reduction can help in the search for similarities across several subjects.
Unlikely Couples: Movie Romance As Social Criticism

* The Subversive Potential of the Unlikely Couple Film Class * Pygmalion: The Flower Girl and the Bachelor * It Happened One Night: An Education in Humility * Pretty Woman: A Fairy Tale of Oedipalized Capitalism * White Palace: Dustbuster Epiphanies Race * Guess Who's Coming to Dinner: Does Father Really Know Best? * Jungle Fever: Souring on Forbidden Fruit * Mississippi Masala: Love in a Postcolonial World * Ali: Fear Eats the SoulThe Privileges of Race Sexual Orientation * Desert Hearts: Betting on Lesbian Love * The Crying Game: Loving in Ignorance * Movie Romance and the Critique of Hierarchy
The essential architecture of the learning experience in history museums : a phenomenological study

This study undertakes an in-depth investigation of the learning experience of selected visitors to three Australian museums. The research questions guiding the study were: Central Research Question: What is the essence of the learning experience in history museums? Sub-questions: 1. What is the essential structure of the museum learning experience? 2. What are the constituent elements of that essential structure? 3. How is meaning created by the visitor during the museum learning experience? 4. What are the key implications for the management and marketing of museums arising from an understanding of the above? Having established from the literature the importance of learning to the museum experience and emotion to such learning, the methodology assumes an emergent construction progressing through three separate but interrelated qualitative phases. The first two assume a broadly ethnographic approach while the third, in an attempt to achieve a deeper understanding, adopts a hermeneutic phenomenological approach referring in particular to the work of Husserl, Heidegger and Van Manen. The research incorporates a range of investigative methods including preparation of Personal Meaning Maps (Falk, 2002); audio recording of participant visit conversations; and in-depth interviews during a ‘return to the experience’ by individual participants and the researcher immediately subsequent to the visit. The first two stages identifies learning to have occurred by way of a number of principal concepts around which the data is grouped as well as a series of
A Self-organizing Data Store for Large Scale Distributed Infrastructures

The introduction of Service Oriented Architectures enables the transition from integrated, centrally controlled systems to federated and dynamic configurable systems. Scalability and reliability are key requirements for such infrastructures. Due to the size and dynamic only decentralized and self-organizing systems are able to accomplish the previously mentioned requirements. In this paper we describe our approach to tackle the problem within the BRICKS project. Here we use a completely decentralized XML database to store several types of metadata. We will present the database architecture and the way it is used in the BRICKS architecture, exemplary for service discovery. Furthermore will we give an overview of current research activities and preliminary results.
A Practical Experience with RFID Security

Radio-frequency identification (RFID) technologies allow remote identification as well as generic data access using radio waves. It is also commonly used in transportation and other payment systems, e.g., the MIFAREof NXP Semiconductors, one of the most widely deployed contactless smart card standards. Recently, the interest in using RFID for micro payment grows rapidly as users get used to the convenience brought by RFID,and corporations discover that RFID can significantly lower the cost of operation. However, there are security concerns, as many passive RFID technologies do not have adequate cryptographic protection. Furthermore, thecommunication can be eavesdropped by a third party, making RFID particularly vulnerable to all sorts of attacks.In this work, we examine the EasyCard of the Taipei Metro Rapid Transit (MRT) Corporation, a transportation ticketing system based on the MIFARE Classic technology. We capture and analyze the communication betweena legitimate reader and an EasyCard using GNURadio, an open-source software-defined radio running on PC. We will share our experiences with EasyCard security and hopefully provide some insights into RFID security inpractice.
Time Series Model for Bankruptcy Prediction via Adaptive Neuro- Fuzzy Inference System

Bankruptcy prediction has been addressed by many researchers in the field of finance since few decades. One of the best approaches to deal with this issue is considering it as a classification problem. In this paper a time series prediction model of bankruptcy via Adaptive neuro-fuzzy inference system (ANFIS) is formulated, which is capable of predicting the bankruptcy of a firm for any future time. The data used in this study has been extracted from the past financial records of ongoing and failed enterprises. The extracted financial ratios are preprocessed by calculating Altman’s Z-score before feeding into Time series model. The Time series prediction is carried out using ANFIS to predict the bankruptcy at any given time which overcomes the limitation of Altman’s basic model of bankruptcy prediction. Fuzzy Logic Tool box of MATLAB has been exploited for simulations and evaluation of the model. Numerical illustration is provided to demonstrate the efficiency of proposed model.