Miracle-dz/UniFAR-FTUs huggingface dataset:
Undergraduate Kinesiology Students’ Experiences in Online Motor Development Course

The purpose of this study was to investigate undergraduate kinesiology students’ experiences in an online life span motor development course. This study was based on theory of transactional distance (Moore, 1997). Seven undergraduate kinesiology majors (5 females, 2 males), who were enrolled in an online course at a Midwestern public university in the US, participated in this study. Data collection included face-to-face open ended interviews, bulletin board discussion logs, and online assessment projects. A constant comparative method was used to interpret the data, and allowed themes to emerge from the data as well as from the theoretical framework. Three interrelated themes emerged from the undergraduate students’ narratives; rigors and flexibility in online course learning, peer feedback experiences, and video assessment analysis. The results of this study demonstrate that undergraduate students can have independent learning styles and kinesthetic characteristics and concepts when enrolled in online life span motor development coursework. Online kinesiology courses should be centered on a set of student tasks (lectures, projects, and assignments) that constitute the learning experiences that engage students, either independently and collaboratively, in order for them to master the objectives of the course (Carr-Chellman & Duchastel, 2001).
Generating Abstract from Genre Structure through Lexicogrammar: Modelling... / Castel, v. Artículos Generating Abstracts from Genre Structure through Lexicogrammar: Modelling of Feature Selection and Mapping Generating Abstracts from Genre Structure through Lexicogrammar: Modelling of Feature Select

The Research Article Abstract (RAA) has been the focus of numerous investigations within both the Systemic Functional Linguistics (SFL) and the Natural Language Processing (NLP) communities, and from the text generation and the text analysis/parsing perspectives. Given the complexity of the object of study, however, there still is a need for extensive studies of the RAA that provide detailed, descriptive, corpus-based, formally defined, and computationally implemented generalizations on the relationship between context and language. These three conditions appear to be central to any Natural Language Generation (NLG) project whose long-term goal is to simultaneously model the systemic-functional unity and diversity found in RAAs and use the resulting model for the development of tools for interactive, rhetorical, and linguistic assistance in RAA writing. This is the ultimate goal of the RedACTe Project, one theoretical-descriptive result of which is hereby presented. The basic formal mechanism used by the Cardiff Grammar for the generation of text-sentences is adapted and extended to capture systematic correlations between higher (genre and register) and lower (lexical-grammar) strata features of RAAs of the RedACTe Project’s discipline samples. Generation procedures are defined and implemented, both within any one stratum and between strata, for mapping genre onto semantics and semantics onto form, and for text construction.
A Simple and Efficient In Vivo Non-viral RNA Transfection Method for Labeling the Whole Axonal Tree of Individual Adult Long-Range Projection Neurons

We report a highly efficient, simple, and non-infective method for labeling individual long-range projection neurons (LRPNs) in a specific location with enough sparseness and intensity to allow complete and unambiguous reconstructions of their entire axonal tree. The method is based on the “in vivo” transfection of a large RNA construct that drives the massive expression of green fluorescent protein. The method combines two components: injection of a small volume of a hyperosmolar NaCl solution containing the Pal-eGFP-Sindbis RNA construct (Furuta et al., 2001), followed by the application of high-frequency electric current pulses through the micropipette tip. We show that, although each component alone increases transfection efficacy, compared to simple volume injections of standard RNA solution, the highest efficacy (85.7%) is achieved by the combination of both components. In contrast with the infective viral Sindbis vector, RNA transfection occurs exclusively at the position of the injection micropipette tip. This method simplifies consistently labeling one or a few isolated neurons per brain, a strategy that allows unambiguously resolving and quantifying the brain-wide and often multi-branched monosynaptic circuits created by LRPNs.
Supervised Spatio-Temporal Neighborhood Topology Learning for Action Recognition

Supervised manifold learning has been successfully applied to action recognition, in which class label information could improve the recognition performance. However, the learned manifold may not be able to well preserve both the local structure and global constraint of temporal labels in action sequences. To overcome this problem, this paper proposes a new supervised manifold learning algorithm called supervised spatio-temporal neighborhood topology learning (SSTNTL) for action recognition. By analyzing the topological characteristics in the context of action recognition, we propose to construct the neighborhood topology using both supervised spatial and temporal pose correspondence information. Employing the property in locality preserving projection (LPP), SSTNTL solves the generalized eigenvalue problem to obtain the best projections that not only separates data points from different classes, but also preserves local structures and temporal pose correspondence of sequences from the same class. Experimental results demonstrate that SSTNTL outperforms the manifold embedding methods with other topologies or local discriminant information. Moreover, compared with state-of-the-art action recognition algorithms, SSTNTL gives convincing performance for both human and gesture action recognition.
A Perceptual Hashing Algorithm Based on Adjustable Visual Threshold

The researches on Human Visual System (HVS) lead to more comprehension in the visual perceptibility of human eyes and make dramatic contribution in image quality assessment. However, few perceptual hashing algorithms take the visual perceptibility into account. In this paper, we propose a new visual threshold adjustable perceptual hashing method under the guidance of Watson's visual model. This method encodes the perception information in the phase of feature extraction and coding, and uses a visual threshold parameter to reflect the user's acceptable image distortion range. Normally, different application declare different visual threshold to decide the acceptable visual error, our method can improve the discriminability near the given point of application according to the visual threshold required.
Elimination of preexistent acetylcholine receptor clusters induced by the formation of new clusters in the absence of nerve

Acetylcholine receptors (AChRs) form clusters spontaneously in cultured Xenopus myotomal muscle cells in the absence of innervation. Innervation causes a dispersal of these clusters, as well as the formation of new clusters along the neuromuscular contact. To examine whether this dispersal process is dependent upon the presence of the nerve or can be effected by the formation of new clusters alone, we examined the stability of the preexistent clusters during the formation of new AChR clusters induced by basic polypeptide-coated latex beads. These beads cause a rapid development of clusters in cultured Xenopus muscle cells, and the size and the number of clusters can be experimentally manipulated by varying the size and number of beads applied to the culture. Accompanying the bead-induced formation of new clusters was an observed suppression of preexistent clusters, as shown by fluorescence microscopy after staining with rhodamine-conjugated alpha-bungarotoxin. This process of extra-bead cluster removal can be speeded up by treating the cultures with more beads or using beads of larger diameter. Furthermore, if the beads are applied before the spontaneous AChR clustering, no extra-bead clusters are formed. Thus, the latex beads can mimic the nerve in both causing the formation of new clusters and the dispersal of preexistent clusters. Although the receptor clusters are dispersed by the beads, the density of diffuse receptors, as shown by autoradiography with 125I-conjugated alpha- bungarotoxin does not decrease in the short-term cultures under study. This indicates that the dispersal of preexistent clusters is not due to a depletion of the surface pool of AChRs. (ABSTRACT TRUNCATED AT 250 WORDS)
Dynamic of Mutational Events in Variable Number Tandem Repeats of Escherichia coli O157:H7

VNTRs regions have been successfully used for bacterial subtyping; however, the hypervariability in VNTR loci is problematic when trying to predict the relationships among isolates. Since few studies have examined the mutation rate of these markers, our aim was to estimate mutation rates of VNTRs specific for verotoxigenic E. coli O157:H7. The knowledge of VNTR mutational rates and the factors affecting them would make MLVA more effective for epidemiological or microbial forensic investigations. For this purpose, we analyzed nine loci performing parallel, serial passage experiments (PSPEs) on 9 O157:H7 strains. The combined 9 PSPE population rates for the 8 mutating loci ranged from 4.4 × 10−05 to 1.8 × 10−03 mutations/generation, and the combined 8-loci mutation rate was of 2.5 × 10−03 mutations/generation. Mutations involved complete repeat units, with only one point mutation detected. A similar proportion between single and multiple repeat changes was detected. Of the 56 repeat mutations, 59% were insertions and 41% were deletions, and 72% of the mutation events corresponded to O157-10 locus. For alleles with up to 13 UR, a constant and low mutation rate was observed; meanwhile longer alleles were associated with higher and variable mutation rates. Our results are useful to interpret data from microevolution and population epidemiology studies and particularly point out that the inclusion or not of O157-10 locus or, alternatively, a differential weighting data according to the mutation rates of loci must be evaluated in relation with the objectives of the proposed study.
Design of SMES control for wind generator stability

Wind power industry is developing rapidly, more and more wind farms are being connected into power systems. Advances in wind power control will be essential for increasing the penetration of renewable generation and thereby reducing the planet's dependence on fossil sources. This paper presents a performance analysis of controller configurations in Wind energy conversion system (WECS), thus by maintaining the stability of the system. System stability is associated with power system faults in a network such as open and short circuits. To overcome these problems, effective control techniques have been incorporated in the appropriate area to enhance the operation of the system. Controller is implemented mainly to achieve power regulation across the SMES (Super Conducting Magnetic Energy Storage System) especially during abnormal conditions. Simulation results demonstrate that proposed Fuzzy-Fuzzy configuration is better than that of PI-PI configuration in order to stabilize the SCIG based WECS.
Resource Search and Discovery

Electronic technology has begun to change what information is available and how that information is located and used. There are already a large number of electronic projects in the humanities (see Getty, 1994). These changes are first related to remote access: Instead of traveling to the sources of information, scholars use technology to bring information to them. One important consequence of remote access is the broadening of access to students and other novices who would not or could not bear the time and financial costs to travel to libraries, museums, and research institutes, and who might not know what to look for once they arrived. Secondly, electronic technology brings new genres of information that provide new challenges for search and discovery (e.g., multimedia, interactive ephemera, etc.). The traditional problems humanists have found in documenting and locating non-textual materials are exacerbated by electronic technology. Thirdly, change is due to electronic tools and the strategies made possible by electronic representations. The emphasis here is on tools and strategies for resource search and discovery, although I will argue that we will continue to see closer integration with tools and strategies for creating, using, and communicating information. This implies that creators who choose to become more closely involved with consumers must take more responsibility for documenting and directly placing their work. In archives, libraries, and museums, search and discovery are facilitated by finding aides, catalogs, and guides that organize the information space for information seekers. It is evident that similar devices are appearing for electronic resources as well. An ongoing research challenge is to discover appropriate representations for information and new search and discovery tools and strategies that leverage the computational medium. Search implies an effort to locate a known object; the information seeker has in mind specific characteristics or properties of the object and these characteristics are used to specify and guide search activity. Discovery implies an effort to explore some promising space for underspecified or unknown objects; the information seeker has in mind general characteristics or properties that outline an information space in which perceptual and cognitive powers are leveraged to examine candidate objects (elsewhere I have distinguished search and discovery as analytical and browsing information seeking strategies respectively, Marchionini, 1995). In general, discovery emphasizes the location of the promising space (a collection or resource (e.g., CNI, in preparation). Electronic technology provides new tools for each of these classes of strategies and …
Accelerating the Performance of Particle Swarm Optimization for Embedded Platforms

The ever increasing popularity of particle swarm optimization (PSO) algorithm is recently attracting attention to the embedded computing world. Although PSO is considered computationally efficient compared to other evolutionary methods, the direct software implementation of the algorithm on complex problems, targeted on low capacity embedded processors could suffer from poor execution performance. This paper first evaluates the performance of the standard PSO algorithm on a typical embedded platform (using a 16-bit microcontroller). Then, an architecture for a hardware PSO engine, for accelerating the algorithm’s performance, will be presented. Finally, implementation test results of the proposed architecture targeted on Field Programmable Gate Array (FPGA) technology will be presented and its performance compared against software executions on benchmark test functions.
Program analysis environments for parallel language systems: the tau environment

In this paper, we discuss (TAU, Tuning and Analysis Utilities), the rst prototype of an integrated and portable program analysis environment for pC ++ , a parallel object-oriented language system. is unique in that it was developed speciically for pC ++ and relies heavily on pC ++ 's compiler and transformation tools (speciically, the Sage ++ toolkit) for its implementation. This tight integration allows to achieve a combination of portability, functionality, and usability not commonly found in high-level language environments. The paper describes the design and functionality of , using a new tool for breakpoint-based program analysis as an example of 's capabilities.
English Scanned Document Character Recognition and Matched and Missed Matched Analysis using NN and MDA

In this paper, the optical character recognition is used to recognize the scanned English documents by using neural network and MDA. The human mind easily read any interrupted scanned documents but it is difficult to machine. So the optical character recognition are solved this problem. The output images are not editable by capturing camera or scanned document but with the help of optical character recognition this problem easily solved. The OCR process consists of three major sub processes like pre processing, segmentation and recognition. The neural networks are playing very important role for character recognition its helps to provide high accuracy for the character.
Architectures for molecular electronic computers: 3. Design for a memory cell built from molecular electronic devices

This paper proposes and explains a design for a digital electronic memory cell that is built solely from molecular electronic devices. The molecular-scale memory cell is modeled after the much larger, micron-scale cell in solid-state nanoelectronic tunneling static random access memory (TSRAM), which has been demonstrated recently. The underlying elements concerning both molecular-scale electronic devices and microelectronic memory architecture are reviewed en route to their synthesis in the design of the molecular electronic TSRAM (i.e., ME-TSRAM) cell. Quantitative theoretical analysis is performed on the proposed ME-TSRAM memory cell, which is a simple planar aromatic molecule measuring only 8 nm by 5 nm. Specifically, ab initio quantum mechanical calculations are performed to estimate the capacitances of the various components of the proposed memory cell. On that basis, it is concluded that if it were fabricated, the ME-TSRAM cell would be likely to function as desired. Finally, various fundamental molecular memory cell design issues and architectural challenges are enumerated and discussed. In making and analyzing these specific design proposals for molecular-scale electronic memory, this work attempts to explore the ultimate limits of electronic memory circuit miniaturization.
Overview of Recent Advancement in Ultrasonic Imaging for Biomedical Applications

This paper discusses the application of acoustic microscopy to the detection of cancerous cells. Acoustic microscopy is a welldeveloped technique but the application to biological tissues is challenging. Acoustic microscopy images abnormality based on the difference in the acoustic impedance from the background. One of the difficulties in the biomedical applications is that since both normal and abnormal cells consist of mostly water, their acoustic impedance is quite close to each other. Consequently, the contrast of the image tends to be low. Another issue is concerning the spatial resolution. For higher resolution, the use of a short wavelength is essential. However, since the attenuation of an ultrasonic signal increases quadratically with the frequency, the reduction in the wavelength compromises the image quality. The present paper addresses these issues and describes various techniques to overcome the problems.
Coverage-Driven Test Code Generation for Concurrent Classes

Previous techniques on concurrency testing have mainly focused on exploring the interleaving space of manually written test code to expose faulty interleavings of shared memory accesses. These techniques assume the availability of failure-inducing tests. In this paper, we present AutoConTest, a coverage-driven approach to generate effective concurrent test code that achieve high interleaving coverage. AutoConTest consists of three components. First, it computes the coverage requirements dynamically and iteratively during sequential test code generation, using a coverage metric that captures the execution context of shared memory accesses. Second, it smartly selects these sequential codes based on the computed result and assembles them for concurrent tests, achieving increased context-sensitive interleaving coverage. Third, it explores the newly covered interleavings. We have implemented AutoConTest as an automated tool and evaluated it using 6 real-world concurrent Java subjects. The results show that AutoConTest is able to generate effective concurrent tests that achieve high interleaving coverage and expose concurrency faults quickly. AutoConTest took less than 65 seconds (including program analysis, test generation and execution) to expose the faults in the program subjects.
Dyadic Friendship Interactions and Emotional Adjustment in Adolescents

Social interactions during childhood and adolescence contribute significantly to social and emotional adjustment. A primary source of social interaction for adolescents comes in the form of friends. Friendship functioning is thought to contribute to both relationship quality and emotional adjustment, such as depressive symptoms (Bukowski; Hoza, & Boivin, 1994; Demir & Urberg, 2004). However few studies have addressed how non-verbal interpersonal engagement may contribute to relationship quality and emotional adjustment in adolescent friendships. The current study examined associations of non-verbal interpersonal engagement in the context of adolescents’ same-sex friendships with self-reported friendship quality and depressive symptoms. The role of gender in these relations (see Rose & Rudolph, 2006) also was explored. Multilevel modeling was used to test all study hypotheses. Results suggested that non-verbal interpersonal engagement contributed significantly to positive, but not negative, friendship quality. Associations of interpersonal engagement with depressive symptoms were largely non-significant. Few gender differences emerged, perhaps because the study was underpowered to detect them. Additional limitations as well as future directions for research are discussed.
Equal study: Lecture based automated video recording system for all

This paper presents a system, which (in one piece) captures the necessary video and sound equipment, interactive streaming video technology and virtual hypermedia environment into a new web based learning environment. In several steps a lecturer can prepare a video supported lecture, which is automatically synchronized with additional media (material, subtitles). Students can watch these lectures live or on demand. Later on additional form of subtitles can be simply added into the video and sound - for deaf and hard of hearing persons and for blind and weak sighted (audio subtitles). The paper also answers whether the lecture based automated video recording system evaluation is suitable for the needs of teachers and students with special needs.
Security testing of session initiation protocol implementations

The mechanisms which enable the vast majority of computer attacks are based on design and programming errors in networked applications. The growing use of voice over IP (VOIP) phone technology makes these phone applications potential targets. We present a tool to perform security testing of VOIP applications to identify security vulnerabilities which can be exploited by an attacker. Session Initiation Protocol (SIP) is the widespread standard for establishing and ending VOIP communication sessions. Our tool generates an input sequence for a SIP phone which is designed to reveal security vulnerabilities in the SIP phone application. The input sequence includes SIP messages and external graphical user interface (GUI) events which might contribute to triggering a vulnerability. The input sequence is generated to perform a random walk through the state space of the protocol. The generation of external GUI events is critical to testing a stateful protocol such as SIP because GUI interaction is required to explore a signiﬁcant portion of the state space. We have used our security testing tool to identify a previously unknown vulnerability in an existing open source SIP phone.