Miracle-dz/UniFAR-FTUs huggingface dataset:
A Topic Model for Recommending Movies via Linked Open Data

We propose an algorithm for recommending both well-watched old movies and unwatched new ones. To recommend both old favourites and new releases, hybrids of collaborative and content-based filtering are the most suitable methods. However, hybrid movie recommenders have two issues. First, it is necessary to acquire content-descriptive metadata, which is not always easily available. Second, the metadata, once acquired, may be noisy, which can damage recommendation accuracy. In our algorithm, we address the first issue by automatically drawing movie metadata from Linked Open Data, and the second by modeling the relevance of the collected metadata to the transaction history before using the relationship between them to make recommendations. We experimentally demonstrate that our method can effectively collect metadata from LOD, and that our method outperforms conventional hybrid methods found in the literature in both well-watched and unwatched movie recommendation using the noisy collected movie metadata.
The Effects of Parental Drug Dependency on Children in Iran

ABSTRACT This paper reports on the finding of a qualitative grounded theory study on drug dependency and parenting in Iran. Data were obtained through semi-structured interviews with 41 opium- and heroin-dependent parents selected from Self-Referred Drug Addicts' Treatment Centre in Rasht in Iran. Research findings showed that parental drug dependency impacts various aspects of parenting such as parent-child relationship, parent-child communication, and disciplinary strategies of parents. Intervention and prevention programs to support the children of drug-dependent parents are needed.
Investigating differential cell‐matrix adhesion by directly comparative single‐cell force spectroscopy

Tissue‐embedded cells are often exposed to a complex mixture of extracellular matrix (ECM) molecules, to which they bind with different cell adhesion receptors and affinities. Differential cell adhesion to ECM components is believed to regulate many aspects of tissue function, such as the sorting of specific cell types into different tissue compartments or ECM niches. In turn, aberrant switches in cell adhesion preferences may contribute to cell misplacement, tissue invasion, and metastasis. Methods to determine differential adhesion profiles of single cells are therefore desirable, but established bulk assays usually only test cell population adhesion to a single type of ECM molecule. We have recently demonstrated that atomic force microscopy‐based single‐cell force spectroscopy (SCFS), performed on bifunctional, microstructured adhesion substrates, provides a useful tool for accurately quantitating differential matrix adhesion of single Chinese hamster ovary cells to laminin and collagen I. Here, we have extended this approach to include additional ECM substrates, such as bifunctional collagen I/collagen IV surfaces, as well as adhesion‐passivated control surfaces. We investigate differential single cell adhesion to these substrates and analyze in detail suitable experimental conditions for comparative SCFS, including optimal cell‐substrate contact times and the impact of force cycle repetitions on single cell adhesion force statistics. Insight gained through these experiments may help in adapting this technique to other ECM molecules and cell systems, making directly comparative SCFS a versatile tool for comparing receptor‐mediated cell adhesion to different matrix molecules in a wide range of biological contexts. Copyright © 2013 John Wiley & Sons, Ltd.
Immunization with Components of Two Iron Uptake ABC Transporters Protects Mice against Systemic Streptococcus pneumoniae Infection

ABSTRACT There has been considerable recent research into protein basedStreptococcus pneumoniae vaccines as alternatives to the existing capsular antigen vaccines. PiuA and PiaA (formerly Pit1A and Pit2A) are recently identified lipoprotein components of S. pneumoniae iron uptake ABC transporters which are required for full virulence and are likely to be expressed on the surface of the bacterial cell membrane. We investigated the efficacy of recombinant PiuA and PiaA proteins at eliciting protective immunity in mice against systemic infection with S. pneumoniae. Both recombinant PiuA and PiaA generated antibody responses that cross-reacted with each other but not with pneumolysin and reacted with identical proteins from nine different S. pneumoniae serotypes. Mice immunized with recombinant PiuA and PiaA were protected against systemic challenge to a degree similar to those immunized with an existing protein vaccine candidate, PdB (a genetically modified pneumolysin toxoid). Immunization with a combination of both PiuA and PiaA resulted in additive protection and was highly protective against systemic infection with S. pneumoniae. PiuA and PiaA are therefore promising additional candidates for a novel S. pneumoniae vaccine using protein antigens.
Children's judgments of expected value.

Expected value judgments of 5-, 6-, 8-, and 10-year-olds were studied by using an information integration approach. Children saw roulette-type games with prizes of crayons. They made judgments on a continuous scale of how happy a puppet playing the game would be. In one task, probability and value of a single winning outcome were varied factorially. All ages took both cues into account. Young children used an additive integration rule, whereas children 8 years and older used the multiplying rule as predicted by mathematical theory. A 2nd task contained games with both 1 and 2 alternative prizes. At all ages, data patterns were similar to the normative predictions. Even young children showed some understanding of probability dependence. A serial version of the addition strategy may contribute to advanced performance in the 2-prize task
Molecular characterization of the oxalate oxidase involved in the response of barley to the powdery mildew fungus.

Previously we reported that oxalate oxidase activity increases in extracts of barley (Hordeum vulgare) leaves in response to the powdery mildew fungus (Blumeria [syn. Erysiphe] graminis f.sp. hordei) and proposed this as a source of H2O2 during plant-pathogen interactions. In this paper we show that the N terminus of the major pathogen-response oxalate oxidase has a high degree of sequence identity to previously characterized germin-like oxalate oxidases. Two cDNAs were isolated, pHvOxOa, which represents this major enzyme, and pHvOxOb', representing a closely related enzyme. Our data suggest the presence of only two oxalate oxidase genes in the barley genome, i.e. a gene encoding HvOxOa, which possibly exists in several copies, and a single-copy gene encoding HvOxOb. The use of 3' end gene-specific probes has allowed us to demonstrate that the HvOxOa transcript accumulates to 6 times the level of the HvOxOb transcript in response to the powdery mildew fungus. The transcripts were detected in both compatible and incompatible interactions with a similar accumulation pattern. The oxalate oxidase is found exclusively in the leaf mesophyll, where it is cell wall located. A model for a signal transduction pathway in which oxalate oxidase plays a central role is proposed for the regulation of the hypersensitive response.
Energy Efficient Robot Rendezvous

We examine the problem of finding a single meeting location for a group of heterogeneous autonomous mobile robots, such that the total system cost of traveling to the rendezvous is minimized. We propose two algorithms that solve this problem. The first method computes an approximate globally optimal meeting point using numerical simplex minimization. The second method is a computationally cheap heuristic that computes a local heading for each robot: by iterating this method, all robots arrive at the globally optimal location. We compare the performance of both methods to a naive algorithm (center of mass). Finally, we show how to extend the methods with inter-robot communication to adapt to new environmental information.
Vision Based Hand Gesture Recognition for Human Computer Interaction

This project presents an approach to develop a real-time hand gesture recognition enabling human-computer interaction. It is "Vision Based" that uses only a webcam and Computer Vision (CV) technology, such as image processing that can recognize several hand gestures. The applications of real time hand gesture recognition are numerous, due to the fact that it can be used almost anywhere where we interact with computers ranging from basic usage which involves small applications to domain-specific specialized applications. Currently, at this level our project is useful for the society but it can further be expanded to be readily used at the industrial level as well. Gesture recognition is an area of active current research in computer vision. Existing systems use hand detection primarily with some type of marker. Our system, however, uses a real-time hand image recognition system. Our system, however, uses a real-time hand image recognition without any marker, simply using bare hands.
miRanalyzer: a microRNA detection and analysis tool for next-generation sequencing experiments

Next-generation sequencing allows now the sequencing of small RNA molecules and the estimation of their expression levels. Consequently, there will be a high demand of bioinformatics tools to cope with the several gigabytes of sequence data generated in each single deep-sequencing experiment. Given this scene, we developed miRanalyzer, a web server tool for the analysis of deep-sequencing experiments for small RNAs. The web server tool requires a simple input file containing a list of unique reads and its copy numbers (expression levels). Using these data, miRanalyzer (i) detects all known microRNA sequences annotated in miRBase, (ii) finds all perfect matches against other libraries of transcribed sequences and (iii) predicts new microRNAs. The prediction of new microRNAs is an especially important point as there are many species with very few known microRNAs. Therefore, we implemented a highly accurate machine learning algorithm for the prediction of new microRNAs that reaches AUC values of 97.9% and recall values of up to 75% on unseen data. The web tool summarizes all the described steps in a single output page, which provides a comprehensive overview of the analysis, adding links to more detailed output pages for each analysis module. miRanalyzer is available at http://web.bioinformatics. cicbiogune.es/microRNA/.
Parameterized Synthesis Case Study: AMBA AHB

We revisit the AMBA AHB case study that has been used as a benchmark for several reactive syn- thesis tools. Synthesizing AMBA AHB implementations that can serve a large number of masters is still a difficult problem. We demonstrate how to use parameterized synthesis in token rings to obtain an implementation for a component that serves a single master, and can be arranged in a ring of arbitrarily many components. We describe new tricks -- property decompositional synthesis, and direct encoding of simple GR(1) -- that together with previously described optimizations allowed us to synthesize the model with 14 states in 30 minutes.
The Compound Multiple Access Channel With Partially Cooperating Encoders

The goal of this paper is to provide a rigorous information-theoretic analysis of subnetworks of interference networks. We prove two coding theorems for the compound multiple-access channel (MAC) with an arbitrary number of channel states. The channel state information at the transmitters is such that each transmitter has a finite partition of the set of states and knows which element of the partition the actual state belongs to. The receiver may have arbitrary channel state information. The first coding theorem is for the case that both transmitters have a common message and that each has an additional private message. The second coding theorem is for the case where rate-constrained, but noiseless transmitter cooperation is possible. This cooperation may be used to exchange information about channel state information as well as the messages to be transmitted. The cooperation protocol used here generalizes Willems' conferencing. We show how this models base station cooperation in modern wireless cellular networks used for interference coordination and capacity enhancement. In particular, the coding theorem for the cooperative case shows how much cooperation is necessary in order to achieve maximal capacity in the network considered.
2DOF pose estimation of textured objects with angular color cooccurrence histograms

Robust techniques for pose estimation are essential for robotic manipulation and grasping tasks. We present a novel approach for 2DOF pose estimation based on angular color cooccurrence histograms and its application to object grasping. The representation of objects is based on pixel cooccurrence histograms extracted from the color segmented image. The confidence in the pose estimate is predicted by a probabilistic neural network based on the disambiguity of the underlying matchvalue curve. In an experimental evaluation the estimated pose is used as input to the open loop control of a robotic grasp. For more complex manipulation tasks the 2DOF estimate provides the basis for the initialization of a 6DOF geometric based object tracking in real-time.
A FUZZY BASED APPROACH FOR EFFECTIVE DATA REPLICATION IN PEER- TO-PEER NETWORKS

1,2 Abstract: A P2P network is one of the most usable local area network that provides the interconnectivity between the nodes. But as the communication increases over the network, the load on some centralized nodes or the server is increased. In such case, there is the requirement of setup some sub system over the network to distribute the network load. Such sub systems are called replication servers. These systems can have full or the partial copy of the actual centralized server. The main problem in such systems is to find optimal number of replication servers required in the system. The presented research is about to identify the required number of such sub systems over the network. In this work, a statistical analysis is been presented based on the network capabilities, network distribution and the node requirements.
Sidgwick on Consequentialism and Deontology: A Critique

In The Methods of Ethics Henry Sidgwick argued against deontology and for consequentialism. More specifically, he stated four conditions for self-evident moral truth and argued that, whereas no deontological principles satisfy all four conditions, the principles that generate consequentialism do. This article argues that both his critique of deontology and his defence of consequentialism fail, largely for the same reason: that he did not clearly grasp the concept W. D. Ross later introduced of a prima facie duty or duty other things equal. The moderate deontology Ross's concept allows avoids many of Sidgwick's objections. And Sidgwick's statements of his own axioms equivocate in exactly the same way for which he criticized deontological ones. Only if they are read as other things equal can they seem intuitive and earn widespread agreement; but that form is too weak to ground consequentialism. And in the form that does yield consequentialism they are neither intuitive nor widely accepted. Sidgwick's arguments against a rival view and for his own were, in multiple ways, unfair.
Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion

Due to its effectiveness for removing heavy-tail noise and preserving abrupt structures hidden in noisy data, median filtering has long been a popular tool for signal restoration. In practice, an important issue of applying median filtering is the choice of the span. In this letter, we develop a data adaptive criterion for choosing this span. This criterion is derived using the generalized SURE technique recently proposed by Shen and Huang. It is designed to handle outliers and heavy-tail noise, and it aims to minimize the mean-squared error between the true and restored signals. Results from simulation experiments suggest that the proposed criterion is superior to its competitors
Restructuring of Pancreatic Islets and Insulin Secretion in a Postnatal Critical Window

Function and structure of adult pancreatic islets are determined by early postnatal development, which in rats corresponds to the first month of life. We analyzed changes in blood glucose and hormones during this stage and their association with morphological and functional changes of alpha and beta cell populations during this period. At day 20 (d20), insulin and glucose plasma levels were two- and six-fold higher, respectively, as compared to d6. Interestingly, this period is characterized by physiological hyperglycemia and hyperinsulinemia, where peripheral insulin resistance and a high plasmatic concentration of glucagon are also observed. These functional changes were paralleled by reorganization of islet structure, cell mass and aggregate size of alpha and beta cells. Cultured beta cells from d20 secreted the same amount of insulin in 15.6 mM than in 5.6 mM glucose (basal conditions), and were characterized by a high basal insulin secretion. However, beta cells from d28 were already glucose sensitive. Understanding and establishing morphophysiological relationships in the developing endocrine pancreas may explain how events in early life are important in determining adult islet physiology and metabolism.
Group treatment of children with anxiety disorders: Outcome and predictors of treatment response

There have been surprisingly few outcome studies for the treatment of broad-based anxiety disorders in children and adolescents. Two recent studies have demonstrated excellent results using 12 to 16 sessions of individual treatment. In the current study, similar results were achieved with a nine-session program conducted in groups of around five families. Treated children improved significantly more on several measures of anxiety than did waiting-list controls. The improvements maintained and, in several cases increased, at 1-year follow-up. Examination of several potential predictors of treatment response and maintenance indicated few influential factors.
God's Own Scientists: Creationists in a Secular World

Toumey focuses the tools of his discipline on a group whose distance from the twentieth-century American mainstream is measured not in decades or miles but rather in existential understandings about reality. Toumey studies both the national scientific creationism movement and the operation of a local creationist study group in his state's Research Triangle in the mid-1980s, seeking to understand the underlying beliefs--about morality, the Bible, science itself--that modern scientific creationism embodies, as well as the reasons this "system of cultural meanings" helps many conservative Christians "make sense of the realities, anxieties, changes, and uncertainties of life in the United States in the late twentieth century. " A perceptive and respectful analysis by a nonbeliever
Bullying in German adolescents

The present study analysed bullying in German adolescents with and without visual impairment. Ninety-eight adolescents with vision loss from schools for students with visual impairment, of whom 31 were blind and 67 had low vision, were compared with 98 sighted peers using a matched-pair design. Students with low vision reported higher levels of peer-victimization and relational victimization in particular than sighted students. In addition, students with low vision reported higher levels of overall victimization and relational victimization by peers in particular than students who are blind, as well as higher levels of overt aggression towards their peers. Support from peers buffered the effects of victimization on psychological adjustment in adolescents with vision loss but not in their peers without vision loss. It is concluded that increasing support from peers may be an effective way of reducing negative effects of victimization of adolescents with visual impairment.
Use of UV ParaLens adapter for detection of acid-fast organisms

Auramine-stained mycobacterial smears from 136 clinical specimens were interpreted by using the UV ParaLens adapter (Beckton Dickinson), and results were compared with smear interpretations using a traditional fluorescent microscope and culture. The sensitivity and specificity of the ParaLens were 84 and 93%, respectively. Smears yielding discrepant results were overstained by the Kinyoun method. Overall, the sensitivity of auramine-stained smears interpreted with the UV ParaLens was comparable to that of Kinyoun-stained smears.
Spectrum handoff model based on Hidden Markov model in Cognitive Radio Networks

Cognitive Radio Network (CRN) is one of technologies to enhance the spectrum utilization by allowing unlicensed users to exploit the spectrum in an opportunistic manner. In CRN, the spectrum handoff function is a necessary component to provide a resilient service for the unlicensed users. This function is used to discover spectrum holes in a licensed network and avoid interference between unlicensed users and licensed users. Due to the randomness of the appearance of Primary users, disruptions to communications of Secondary users are often difficult to prevent and lead to low throughput of CRN. In our paper, we analyze the status of channels and propose the spectrum handoff model based on Hidden Markov model (HMM) to optimize the spectrum handoff scheme for CRN. Moreover, we compare our method with the random channel selection in the simulation.
Sources and Types of Confidence Identified by World Class Sport Performers

This study identified the sources and types of confidence salient to 14 (7 male, 7 female) successful World Class athletes. Nine sources of confidence were identified: Preparation, performance accomplishments, coaching, innate factors, social support, experience, competitive advantage, self-awareness, and trust. A testament to the multi-dimensional nature of sport confidence, six types of sport confidence were also identified: skill execution, achievement, physical factors, psychological factors, superiority to opposition, and tactical awareness. Gender was related to both the sources of confidence and the subsequent types of confidence experienced by the athletes. For example, females placed more importance on good personal performances than males who derived confidence from winning. Results were discussed in the context of previous sport confidence literature and implications for sport psychology and coaching practices were drawn.
Conners' Rating Scales-Revised (CRS-R)

Complete Parent and Teacher Rating Scales Kit with technical manual, 25 Quickscore Forms for Parent Long Form, Parent Short Form, Teacher Long Form, and Teacher Short Form Technical Manual User's Manual 25 Parent Long Quickscore Forms 25 Parent Short Quickscore Forms 25 Teacher Long Quickscore Forms 25 Teacher Short Quickscore Forms 25 Adolescent Self-Report Long Quickscore Forms 25 Adolescent Self-Report Short Quickscore Forms 25 Parent Feedback Long Forms 25 Parent Feedback Short Forms 25 Teacher Feedback Long Forms 25 Teacher Feedback Short Forms 25 Adolescent Feedback Long Forms 25 Adolescent Feedback Short Forms 25 Teacher Information Forms Conners' Rating Scales: Computer Program $152.00