Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of blocked, random and systematically increasing practice schedules on learning dart-throwing

The purpose of this study was to determine the effect of different Practice Schedules (Blocked, Random, and Systematically increasing) on the acquisition, retention and transfer on learning dart-throwing (300, 360 and 420 cm). Forty five healthy nonathlete male secondary school students (age 14.05± 0.75 years, height 156.6 ± 5.2 cm, weight 48.53 ± 2.4 kg; means ± S.D.) volunteered to participate in this study. The participants were divided into a Blocked group (n=15), Random group (n=15) and Systematically increasing (systematically increasing contextual interference in training duration) group (n=15), after performing the pre-test. The participants did not have any experience in dart-throwing. All of the groups performed the same learning program in 9 days, 9 sessions and each session consisted of 9 trials. The participants were tested for performance before and after the 9 days. Acquisition, retention, and transfer tests during 10 trials in each pass (distance: 250 and 420 cm) were conducted 24 hours after the training sessions. The results of the repeated measure and one way ANOVA (p<0.05) showed the effect of practice session was significant but no significant difference in acquisition between the groups was determined. In retention and transfer tests, there were significant differences between mean scores of the practice groups. However, the findings showed the systematically increasing group had slightly more improvements in dart-throwing when compared to other groups, which supported Magill and Hall theory (1990) and challenged the point idea of Guadagnoli and Lee (2004).
Study of Face Recognition Using Statistical Analysis

This paper deals with the analytical-statistical method for the face recognition. Although the bases of the face recognition are known by researchers worldwide, the statistical tests of data obtained by measuring chosen anthropometrical points can be found in several articles. Our aim is to show how the data act during the various emotions of one face, which will be helpful for deeper knowledge of how the face behaves. The focus is also aimed at study of aging. The data were tested in the STATISTICA software using e.g. the ANOVA, the Shapiro-Wilk test, the k-Means clustering and the t-test. Acquired results reflect the difficulty of describing the face and the applicability of combination of different recognition methods (e.g. methods based on neural networks, recognition of facial contours, distribution of the gray scale in the image, deformation models) to get the best results in the verification/identification of a human. Index Term-pattern recognition, face recognition, statistical methods, biometrics
Crossing limit cycles of nonsmooth Li\'enard systems and applications

Continuing the investigation for the number of crossing limit cycles of nonsmooth Li\'enard systems in [Nonlinearity 21(2008), 2121-2142] for the case of a unique equilibrium, in this paper we consider the case of any number of equilibria. We give results about the existence and uniqueness of crossing limit cycles, which hold not only for a unique equilibrium but also for multiple equilibria. Moreover, we find a sufficient condition for the nonexistence of crossing limit cycles. Finally, applying our results we prove the uniqueness of crossing limit cycles for planar piecewise linear systems with a line of discontinuity and without sliding sets.
Visualization for Communication ( VisComm ) A Visualization Course for Journalism Students

Visualization as a means to communicate information relevant to society in a visual form has become more and more important in the recent years. As the prior medium has changed from print to online media, writers of online articles and bloggers regularly serve their readers with interactive visual interfaces that give intuitive insights into the discussed topics. The change of how information is brought to the public and the large scale of digital information available have also changed teaching contents of journalists who learn aspects of data processing and representation. This year, 21 journalism students participated in my interdisciplinary visualization course. This paper reflects on theoretical course contents, conducted student projects and the feedback of journalism students on how a visualization course could be modified to perfectly fit the needs of becoming data journalists.
O ( N ) Nested Skeletonization Scheme for the Analysis of Multiscale Structures Using the Method of Moments

We present a scheme to compress the method of moments (MoM) matrix, which is linear in complexity for low to intermediate frequency problems in electromagnetics. The method is fully kernel independent and easy to implement using existing codes. The O(N ) complexity for both memory and time (setup and matrix–vector product) is achieved thanks to the application of a recursive skeletonization to the H2 matrix structure of the MoM matrix that uses the nested nature of the far interactions. The interpolative decomposition is applied in a novel manner in order to compress the “far-field signature” of the groups of basis functions. Moreover the scheme is fully characterized and it proves itself well suited for the analysis of multiscale structures.
Analysis on the Evolution Path and Hotspot of Knowledge Innovation Study Based on Knowledge Map

Innovation is the main driving force for promoting high-quality economic development. The ability for knowledge innovation and knowledge transformation productivity reflects the ability for scientific research transformation and the comprehensive strength of the science and technology of the country. This paper takes the knowledge innovation literature collected in the Web of Science database as its research object, carries on the knowledge atlas analysis with Citespace IV software, makes a knowledge atlas of the space-time distribution, document co-citation and keyword co-occurrence, respectively, and further explores the distribution status, changing trend and hot areas of knowledge innovation research. (1) American and British scholars have led the research in knowledge innovation, and Chinese scholars have followed the international frontier in this field; (2) The research evolution path of knowledge innovation can be summarized as follows: the research object is gradually detailed from the macro-enterprise level to the micro-enterprise level. The research hotspots are as follows: (3) The four hotspots of knowledge innovation research are based on research on the knowledge innovation system within enterprises, research on the knowledge innovation mode based on innovation cooperation among enterprises, and research on the knowledge innovation among enterprises based on inter-organizational knowledge. Research on the knowledge innovation path of knowledge sharing and enterprise knowledge innovation development is based on the global strategic orientation. This paper clarifies the evolution path and development trend of knowledge innovation research, offering a summary for further research and motivating professionals to research future knowledge innovation.
Diagnostic value of elastase‐α1‐proteinase inhibitor in cerebrospinal fluid

ABSTRACT‐ In this report we introduce CSF Elastase‐α1‐Proteinaseinhibitor as a valuable indicator for differentiating bacterial meningitis from aseptic meningitis and other neurological disorders. All patients (n = 26) with bacterial meningitis had increased CSF concentrations of E‐α1‐PI above the range of normal (range of reference values: 0.0–2.3 μg/1, n = 79; bacterial meningitis: 30–3490 μg/1, n = 26). Concentrations of E‐α1‐PI in bacterial meningitis were significantly elevated when compared with those in aseptic meningitis (0.0–194 μg/1, n = 37), polyneuropathy (0–23 μg/1, n = 24) and cerebrovascular attack (0–23.2 μg/1, n = 17).
Application of Genetic Algorithm in Cellular Network Reliability of Dead Spots Communication

Abstract: "Dead spot" is found in the cellular network wireless remote area which is used in communication networks and areas where the signal is difficult to achieve. For improving cellular network reliability of communication in the "Dead spot", in the introduction of cellular wireless Ad Hoc networks can effectively reduce the "Dead spot", base on consideration of mobile node dynamic structure changes in the specific location in cellular network, moving velocity and adjacent to the correlation factors such as the mobile node, establish a "Dead spot" communication optimization model reliability, using optimization algorithm, and simulation results show this method is feasible and effective.
Vestibular contributions to visual stability.

This thesis describes the results of a research project to investigate vestibular aspects of visual updating in roll-tilted subjects. The focus of the first part is on errors in verticality perception of tilted subjects. Although tilted subjects accurately known how much they are tilted and also know the line orientation relative to their body, they are not able to estimate the line orientation relative to gravity. An important model that tries to explain this relies solely on otolith signals, but other studies suggests that canal signals play a role. Our results confirm that the canals do not play a role at tilt up to about 135 degrees. However, at large tilts a sudden transition to errors of opposite sign occurs. After the transition, we find canal effects and also a strong correlation between verticality perception and body-tilt perception. Our study is the first to thoroughly quantify and discuss these phenomena. The second part of this thesis focuses on another question: how are signals of the otoliths and semicircular canals combined to update the internal representation of visual space? We tested visual stability during dynamic head rotations at different frequencies, in conditions with and without otolith cues. Our results show that subjects severely underestimate head rotation. An illusory translation percept is present at higher frequencies. The results shows that the canal contribution to visual orientation perception has high-pass characteristics. The otolith contribution is low-pass and relatively small. Current models cannot explain these findings. We suggest that the brain forms two estimates of head tilt, one based on otolith signals and one based on canal signals, and that the final estimate is a weighted sum of these two. The violations of visual position constancy are compatible with leaky integration of an internal estimate of head acceleration.
Title Determination of cathode current efficiency for electrodeposition of ferromagnetic cobalt nanowire arrays in nanochannels with extremely large aspect ratio

Cathode current efficiency for the electrodeposition of cobalt from an acidic aqueous solution, which took place in anodized aluminum oxide (AAO) nanochannels with an average diameter of ca. 25 nm, was determined by Faraday’s first law of electrolysis. The electrodeposited metallic cobalt crystals were grown as an array of nanowires embedded in the nanochannels. The amount of charge consumed for the electrochemical reduction in the nanochannels was estimated considering the time dependence of the cathode current during the electrodeposition of the cobalt nanowires. Meanwhile, the volume of electrodeposition on the cobalt nanowires was determined from the saturated magnetic moment of the nanowires, which was obtained from the magnetization curves. The cathode current efficiency for the electrodeposition of the cobalt nanowire arrays remained at a high level (over 75%) in the cathode potential ranging from −0.70 V to −0.85 V vs. Ag/AgCl. At the cathode potential of −0.80 V, the cathode current efficiency reached 97%. The texture coefficient TC(0 0 2) of the cobalt nanowire arrays increased as the cathodic overpotential for the electrodeposition of cobalt decreased. Due to the extremely large aspect ratio (more than 1000), the cobalt nanowire arrays were spontaneously magnetized in the direction parallel to the long axis of the nanowires. With increasing TC(0 0 2), the coercivity and squareness of the cobalt nanowire arrays also increased up to ca. 1.6 kOe and 0.8, respectively, at room temperature.
Nivel de conocimiento sobre enfermedad periodontal en una muestra de empleados en Medellín

Introduction and Objetive: Periodontal disease is a pathology of bacterial origin with inmunoinflamatory manifestations giving rise to loss of insertion and tooth-support. Recently a relation has been reported between periodontal disease and other systemic diseases. According to the last National Study of Oral Health in Colombia (ENSAB III 1998), knowledge and awareness of periodontal disease and practices is more deficient than for other pathologies. The aim of this investigation was to evaluate the knowledge on periodontal disease of a specific population, analyzing the impact of an educational and motivational talk. Materials and Methods: A descriptive study of longitudinal communitarian intervention was carried out in a sample of 301 patients in different companies from the Metropolitan Area of Medellin; an initial survey was completed, followed by an educational and motivational talk and a toothbrush and toothpaste were given to every participant. Afterwards, the initial survey was carried out to the same employees in order to evaluate the impact the intervention had and the level of acquired. Results: Knowledge increased 42,4% from 2,38 ± 0,78 to 3,39 ± 0,81. Conclusion: Significant changes in learning about periodontal disease was achieved.Keywords: Gingivitis, Periodontitis, Level of knowledge.
Small Sample Properties of Parametric and Nonparametric Estimators in Quantal Bioassay

In bioassay, the logit model is the most widely used parametric model. However, the exact form of the response curve is usually unknown and even very complicated, so it is likely that the true model does not follow the logit model. Therefore, according to well known asymptotic results, when the sample size is very large, we should probably use nonparametric regression rather than the logit model unless the exact form of the true response curve is known. In practice, however, we can not increase the sample size infinitely, so the asymptotic result would not be so useful. In this paper, we would like to compare the small sample properties of the logit model and the nonparametric estimator. As the nonparametric method, we choose the locally weighted quasi–likelihood estimator. A Monte Carlo study was done under various circumstances, and it turned out that the locally weighted quasi–likelihood estimator is very competitive in the small sample situation.
18th ICCRTS MIO Cortex: Memory Mechanisms for Operator-Expert Networked Decision Support Topic 8: Networks and Networking

In this paper we consider the phenomenon and functionality of a memory system capable of supporting collective expert networks. In this instance, we apply the context of networked decision support to a maritime interdiction operation (MIO). There are two dimensions of knowledge in such networked decision support systems (NWDSS): social or organizational memory as exemplified by reach back to subject matter experts, and software encoded knowledge bases distributed across a MIO services network. We consider a transactive memory system (TMS) as a mechanism unifying network knowledge flow, formation and sharing. In the context of MIO, the TMS is considered as a knowledge network that forms and evolves through the process of discovery and formation of strong and weak ties between the information sensors and expert nodes producing shared analyses. We examine the nature of bursts and clustering in social networking between mobile operators and reachback experts, and describe the potential architecture of a human-machine “cortex” using a MIO-related social network.
Relative economics of lamb rearing for mutton production under extensive, semi intensive and intensive system of feeding management

The reported study was taken up on farmers adopted weaner lambs comparing traditional extensive range management (G1) with developed system of semi intensive (G2) and intensive (G3) feeding management to demonstrate relative economics of sheep rearing under the three system. The finishing weight, total gain in the experiments as well as average daily gain was higher (P<0.01) in G2 and G3 than G1. During the study period of 92 days other expenditure on account of grazing charge and health coverage (Rs.65/animal) was similar in G1 and G2 while in G2 additional expenditure was incurred in terms of cost of concentrate input (Rs.276.23/animal). In G3 the cost of complete feed, labor charge and health coverage was Rs.264, 20 and 5/animal, respectively. Accordingly the total expenditure of rearing lamb to marketable age was Rs.737, 1005 and 941/animal, respectively in G1, G2 and G3. The wool yield and sale receipt was higher in G2 and G3 than G1. The return on account of manure was higher in G3 maintained indoor than in G1 and G2 allowed grazing. The receipt on account of disposal of lambs was also higher in G2 (33%) and G3 (23%) than G1. The net balance after deducting total investment in lamb rearing under the three system of feeding management was Rs.266. 35, 322.15 and 306.51/lamb in three month's period. The total receipt from disposal of finisher lambs through slaughter was also higher in G2 (Rs.2184) and G3 (Rs.2176) than G1 (Rs.1604). After deducting total expenditure from the receipt, net balance of Rs.867, 1179 and 1235 could be harvested in G1, G2 and G3 in three months period provided the finisher lambs are disposed off by slaughter rather than sale of live animals.
Does Mindfulness Reduce Attentional Negativity Bias and Depressive Symptoms?

Does Mindfulness Reduce Attentional Negativity Bias and Depressive Symptoms? Cameron Ford Mindfulness has been associated with several psychological benefits such as reduced symptoms of depression (Brown, Ryan, & Creswell, 2007). However, the mechanism(s) by which mindfulness reduces depressive symptoms is unclear. The present research investigated one potential mechanism: attentional negativity bias. In two studies utilizing eye-tracking methodology, gaze patterns served as indicators of visual attention in order to examine the relations among attention, depressive symptoms, and mindfulness. In Study 1, there was some limited evidence that trait mindfulness was related to less attentional negativity bias. Specifically, trait mindfulness was related to more fixation duration and more fixations on positive images. However, there was no evidence that attentional negativity bias mediated the association between mindfulness and depression. In Study 2, state mindfulness was induced in order to test whether a causal relation exists between mindfulness and attentional bias. There were trends such that participants who underwent a state mindfulness induction viewed threat and dysphoric images longer than the control group. There was also some replication of Study 1 findings. Trait mindfulness was associated with less attentional negativity bias; however, trait mindfulness was related to less fixation duration and fewer fixations on negative images. Again, attentional negativity bias did not mediate the mindfulness-depression association. Overall, the studies provide limited and inconsistent evidence that mindfulness is related to less attentional negativity bias and suggest that trait mindfulness and state mindfulness may have differential effects on gaze patterns.
Arts and education: an investigation into the impact of the arts academy on high school students

vi List of Tables . xiii Chapter 1: Introduction . 1 The Research Problem . 1 The Importance of Arts Education . 3 Impetus/Purpose of the Study . 7 Research Questions . 10 Significance of the Study . 10 Conclusion . 14 Chapter 2: Literature Review . 17 Evolution of Arts Education . 18 Towards National Standards for Arts Education . 22 Research Conducted in the Arts . 25 Eight models of the arts . 25 Visual arts studies . 26 Musical studies.28 Moving Towards Arts Integration and Interdisciplinary Approaches . 30 The arts and academic integration . 32 Approaches to enhancing arts education and successful collaborations . 34 Linking the Arts to School Choice.36 The Framework of Arts Magnet Schools . 38
Information in dentistry : patterns of communication and use

The aim of the present study is to develop an explanation of the information seeking behaviour of dental professionals that relates the three main instances of this behaviour (users, their information needs, use of information sources) in a meaningful way. The research looks into the information-seeking behaviour of one of the less investigated groups of health practitioners and it does so from a qualitative point of view, using data collected by means of semi-structured interviews. 110 dental professionals were interviewed between May 1989 and June 1990. The interviewees were dental professionals in Sheffield District Health Authority (postgraduate students; academic staff; community service dentists; hospital staff and general dental practitioners). A coding paradigm based on grounded theory was applied to analyze their replies. This basic paradigm explains the information-seeking behaviour of dental professionals in terms of 'conditions' that provoke seeking information; 'strategies' implemented to seek information; 'interactions' the ways in which information sources are used. The conditions for their information needs are created by their clinical tasks (diagnosis, treatment and delivery of dentistry) or their academic tasks (teaching and lecturing, research and publications). Dental professionals apply six basic strategies for seeking information: Reading, Talking, Enquiring, Attending/organizing continuing education events, Watching and Using the library. Each of these strategies is associated with the use of certain information sources: Reading with written/printed literature, Talking with colleagues, Enquiring with individuals from other occupations or professions, Attending. with courses and conferences, Watching with audiovisual materials and Using the library with the use of printed literature via a library service. While the strategies are common to every subgroup in the study, the actual patterns of information-seeking vary from subgroup to subgroup because the strategies are implemented in different ways by each of them. The reason for this variation is determined by the particular combination of clinical and academic tasks of each subgroup. The findings - apart from describing how a representative group of dental professionals uses a variety of information sources - have several implications for library and information services, computer applications, dental training and further research in health care user studies.
Synthesis of Resins Using Epoxies and Humins as Building Blocks: A Mechanistic Study Based on In-Situ FT-IR and NMR Spectroscopies

The combination of eco-respectful epoxy compounds with the humins, a by-product of biomass chemical conversion technologies, allow the obtention of materials with high added value. In this work, we propose a chemical connection study of humins with two aliphatic bis-epoxides through copolymerization reactions to synthesize sustainable, bio-based thermosets. The mechanism insights for the crosslinking between the epoxides and humins was proposed considering the different functionalities of the humins structure. Fourier Transform InfraRed (FT-IR), one dimensional (1D) and two-dimensional (2D) Nuclear Magnetic Resonance (NMR) spectroscopy techniques were used to build the proposed mechanism. By these techniques, the principal chain connections and the reactivity of all the components were highlighted in the synthesized networks.