Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of cardiac imaging data using decision tree based parallel genetic programming

We propose an algorithm for generating diagnostic rules for cardiac diagnoses. Diagnostic rules are presented in decision tree forms that are created by genetic programming. The algorithm was tested by using cardiac single proton emission computed tomography images. In comparisons with other six well-known methods including support vector machine, LogitBoost, logistic regression, linear discriminant analysis, linear regression and least square methods; the proposed algorithm is superior. We also show that parallel genetic programming can be used to improve the performance of the proposed algorithm.
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

In this paper, a multichannel EEG emotion recognition method based on a novel dynamical graph convolutional neural networks (DGCNN) is proposed. The basic idea of the proposed EEG emotion recognition method is to use a graph to model the multichannel EEG features and then perform EEG emotion classification based on this model. Different from the traditional graph convolutional neural networks (GCNN) methods, the proposed DGCNN method can dynamically learn the intrinsic relationship between different electroencephalogram (EEG) channels, represented by an adjacency matrix, via training a neural network so as to benefit for more discriminative EEG feature extraction. Then, the learned adjacency matrix is used to learn more discriminative features for improving the EEG emotion recognition. We conduct extensive experiments on the SJTU emotion EEG dataset (SEED) and DREAMER dataset. The experimental results demonstrate that the proposed method achieves better recognition performance than the state-of-the-art methods, in which the average recognition accuracy of 90.4 percent is achieved for subject dependent experiment while 79.95 percent for subject independent cross-validation one on the SEED database, and the average accuracies of 86.23, 84.54 and 85.02 percent are respectively obtained for valence, arousal and dominance classifications on the DREAMER database.
Au/CeO2 Catalysts: Structure and CO Oxidation Activity

In this comprehensive review, the main aspects of using Au/CeO2 catalysts in oxidation reactions are considered. The influence of the preparation methods and synthetic parameters, as well as the characteristics of the ceria support (presence of doping cations, oxygen vacancies concentration, surface area, redox properties, etc.) in the dispersion and chemical state of gold are revised. The proposed review provides a detailed analysis of the literature data concerning the state of the art and the applications of gold–ceria systems in oxidation reactions.
How Search can profit from Dynamic Taxonomies

This paper explores in the form of a general overview how search applications can benefit from using dynamic taxonomies. It also examines the reverse process in which taxonomies profit from being used in search applications. Different ways of enriching taxonomies by virtue of experiences from search applications are discussed, as are different methods of deploying taxonomies in search applications, including general Web search, product search and local search. After introducing the concept of search in a broad sense that encompasses various ways of accessing information, several taxonomy applications are presented. A special emphasis is given to the proper treatment of terms (from an orthographic, morphologic and semantic point of view) given that today's predominant way of accessing information is to enter relatively small textual units.
Human Competence in Creativity Evaluation

We investigate the performance of non-expert judges in using leading computational poetry evaluation metrics to evaluate poetry written by humans. We find that regardless of the model used, non-expert judges are very poor at using metrics to evaluate creativity, even displaying the reverse of the desired rating pattern, preferring novice poetry to professional poetry. We discuss likely reasons for this finding and the implications for the evaluation of computational creativity. Researchers using human judges should be aware that using a metric or structured evaluation does not negate the need for judge expertise.
Integrating workflow management systems with business-to-business interaction standards

Business-to-business (B2B) e-commerce is emerging as a new market with tremendous potential. Organizations are trying to link services across organizational boundaries in order to electronically trade goods and services. Standards such as RosettaNet, CBL, ED1, OB1, and cXML, describe how electronic B2B interactions should be carried on so that dynamic trade partnerships can be established and transactions can be executed across organizations. While the development of standards is a fundamental step towards enabling e-business, the problem of linking B2B interactions with internal business processes is still a challenge. In addition, as the industry standards evolve continuously based on changing needs, organizations have to adopt new standards quickly. In this paper we describe how workflow technology can be extended in order to support B2B interactions and to link them with the internal workflows. The proposed framework can be used to speed up both the development of new business processes that support B2B interaction standards and the enhancement of the existing business processes by the addition of B2B interaction capability.
EMG classification for prehensile postures using cascaded architecture of neural networks with self-organizing maps

Electromyograph (EMG) features have the properties of large variations and nonstationary issue in the classification of EMG is the classifier design. The major goal of this paper is to develop a classifier for the classification of eight kinds of prehensile postures to achieve high classification rate and reduce the online learning time. The cascaded architecture of neural networks with feature map (CANFM) is proposed to achieve the goal. The CANFM is composed of two kinds of neural networks: an unsupervised Kohonen's self-organizing map (SOM), and a supervised multi-layer feedforward neural network. Experimental results show that by extracting EMG features, forth-order autoregressive model (ARM) and histogram of EMG signals (IEMG), as inputs, the proposed CANFM can obtain and remain high classification rates compared with other classifiers, including k-nearest neighbor method (K-NN), fuzzy K-NN algorithm, and back-propagation neural network (BPNN) in several online testing.
JAK-STAT Signaling: From Interferons to Cytokines*

Published, JBC Papers in Press, May 14, 2007, DOI 10.1074/jbc.R700016200 Christian Schindler, David E. Levy, and Thomas Decker From the Departments of Microbiology and Medicine, Columbia University, New York, New York 10032, Departments of Pathology and Microbiology, New York University School of Medicine, New York, New York 10016, and Max F. Perutz Laboratories, Department of Microbiology and Immunobiology, University of Vienna, Dr. Bohr-Gasse 9, A1030 Vienna, Austria
Tracking Plasticity: Effects of Long-Term Rehearsal in Expert Dancers Encoding Music to Movement

Our knowledge of neural plasticity suggests that neural networks show adaptation to environmental and intrinsic change. In particular, studies investigating the neuroplastic changes associated with learning and practicing motor tasks have shown that practicing such tasks results in an increase in neural activation in several specific brain regions. However, studies comparing experts and non-experts suggest that experts employ less neuronal activation than non-experts when performing a familiar motor task. Here, we aimed to determine the long-term changes in neural networks associated with learning a new dance in professional ballet dancers over 34 weeks. Subjects visualized dance movements to music while undergoing fMRI scanning at four time points over 34-weeks. Results demonstrated that initial learning and performance at seven weeks led to increases in activation in cortical regions during visualization compared to the first week. However, at 34 weeks, the cortical networks showed reduced activation compared to week seven. Specifically, motor learning and performance over the 34 weeks showed the typical inverted-U-shaped function of learning. Further, our result demonstrate that learning of a motor sequence of dance movements to music in the real world can be visualized by expert dancers using fMRI and capture highly significant modeled fits of the brain network variance of BOLD signals from early learning to expert level performance.
Simple and semi-dynamic structures for cache-oblivious planar orthogonal range searching

In this paper, we develop improved cache-oblivious data structures for two- and three-sided planar orthogonal range searching. Our main result is an optimal static structure for two-sided range searching that uses linear space and supports queries in <i>O</i>(log<i><sub>B</sub>N + T/B</i>) memory transfers, where <i>B</i> is the block size of any level in a multi-level memory hierarchy and <i>T</i> is the number of reported points. Our structure is the first linear-space cache-oblivious structure for a planar range searching problem with the optimal <i>O</i>(log<i><sub>B</sub>N + T/B</i>) query bound. The structure is very simple, and we believe it to be of practical interest.We also show that our two-sided range search structure can be constructed cache-obliviously in <i>O</i>(<i>N</i> log<i><sub>B</sub>N</i>) memory transfers. Using the logarithmic method and fractional cascading, this leads to a semi-dynamic linear-space structure that supports two-sided range queries in <i>O</i>(log<sub>2</sub> <i>N + T/B</i>) memory transfers and insertions in <i>O</i>(log<sub>2</sub><i>N</i> ⋅ log<i><sub>B</sub> N</i>) memory transfers amortized. This structure is the first (semi-)dynamic structure for any planar range searching problem with a query bound that is logarithmic in the number of elements in the structure and linear in the output size.Finally, using a simple standard construction, we also obtain a static <i>O(N</i> log<sub>2</sub><i> N</i>)-space structure for three-sided range searching that supports queries in the optimal bound of <i>O</i>(log<i><sub>B</sub> N + T/B</i>) memory transfers. These bounds match the bounds of the best previously known structure for this problem; but our structure is much simpler, simple enough, we believe, to be of practical interest.
A note on the Lovász theta number of random graphs

We show a strong concentration bound for the Lovász θ function on G(n, p) random graphs. For p = 1/2, for instance, our result implies that the θ function is concentrated in an interval of length polylog(n) w.h. p. The best known bound previously was roughly n. The general idea is to prove that all the vectors in an optimal solution have “roughly equal lengths” w.h. p.
Modeling as part of perception: a hypothesis on the function of neural oscillations

We argue that the effectiveness of synchronization of oscillatory neural activities coding simple features, as it relates to perceptual organization, may originate in the temporal characteristics of resonance that develops in a two-stroke architecture of neural information processing – a cycling between bottom-up and top-down mechanisms. We provide empirical evidence to support the idea that resonance involves the generation and evaluation of ‘models’ of spatial and temporal stimulus attributes. By virtue of temporal modeling, temporally assisted spatial segmentation comes to be very precisely determined by the combination of both global and local stimulus phase. Neural oscillations in electrophysiological investigations are found throughout the cortex, at a wide range of frequencies and at every level of resolution. The extent to which the brain appears to employ oscillations and the complexity of the physiologically observed phenomena challenge any simple and somewhat more general explanation of their functional role. This situation is partly caused by the necessity to restrict electrophysiological investigation to certain segments of the cortex, certain frequency ranges and/or limited levels of resolution. In this contribution we aim to show that the frequency locking of fast oscillatory activity between successive stages of processing promotes the segmentation of figure and ground. In addition we suggest a very general functional interpretation of the oscillations involved: They serve to: (a) generate interpretations of sensory attributes in bottom-up processing which are evaluated by (b) modeling prototypical sensory patterns to anticipate and match the sensory activities by means of top-down processing. It is important to note that, in contrast to hypotheses derived from electrophysiological investigations, we are able to reach this conclusion by examining the possible functions of neural oscillations from an information processing perspective only: i.e. by
Empirical Puzzles of Chilean Stabilization Policy

This paper reviews Chilean stabilization policy during the 1990s and argues that, while the merits of Chilean policy should be praised, there are four puzzles in conventional interpretations of the Chilean experience worth studying. First, the policy of targeting indexed interest rates does not coincide with a policy of targeting real interest rates. Second, there is no systematic link between the decline in inflation and the upward adjustments in indexed interest rates. Third, changes in the exchange rate and in the performance of the external sector help explain the decline in inflation. Fourth, the strong cyclical growth of the real economy was influenced in part by the large and persistent increase in the world price of Copper. We provide statistical evidence favoring these arguments using recursively-identified vector-autoregression models, and sketch a model of staggered pricing under indexation that sheds some light on the Chilean case.
Linguistic continuity in software engineering

Many different concerns contribute to the complexity of software development. Some of these concerns are easy to spot. Others are right in front of us all along but not explicitly identified in a way that makes them intellectually accessible. We describe an idea that has always been in the background of awareness for programmers and software designers, but which seldom gets sufficient acknowledgement to be written about on its own. We call this linguistic [dis]continuity.
A WAY FOR SEAMLESS INTEGRATION OF DATABASES AND OPERATING SYSTEMS

We present a novel common architecture for both operating systems and databases. Seamless integration will blur differences from user’s viewpoints and allow for easier merging of filesystem data and database data, as well as for uniform treatment of either sort of data with both OS and DB access methods. This will simplify management and retrieval of data, reduce training costs, open data treasures for better exploitation, and simplify integration of applications which rely on different system interfaces. Seamless integration can achieve both representation transparency and interface diversity in a uniform way, less complicated and more capable than glueing together conventional DBs and OSs.
On Modeling Mismatch Errors Induced by Different Quantizers

In this letter, the mismatch error due to the replacement of a fine with a coarse quantizer is considered, and an analytical model is proposed to describe the related distortion. Simulations show that this model is highly accurate and can be used to estimate the expected distortion of DPCM-based codecs in order to better allocating the rate. For highly correlated sources, this leads to a gain of 1 to 1.5 dB over an exhaustive search method that adopts a uniform redundancy allocation. Moreover, it permits to allocate the redundancy by an easy-to-solve analytical model of the system.
G-MicroRNA: A New Tool for MicroRNA Genomics

With the post-genome era coming, it is interesting to establish a new bioinformatics database, further integrate related information of the sequences and develop new methods to reveal the mechanism of life based on databases of sequence. We have built a professional bioinformatics database of non-coding miRNA named G-microRNA by means of PHP, MYSQL and so on. The database integrates more than 2,000 miRNA sequences including several model organisms-human, arabidopsis thaliana and virus. The pre-calculated Z curves and characteristics of each sequence are displayed in the database. Simultaneously, we have improved analytic softwares, selected famous predicting tools and hundreds of outstanding references, and shared our database in the internet. The construction of the database will provide much useful information and operation platform for bioinformatics further research.
The Closed string tadpole in open string field theory

We compute a class of gauge invariant observables for marginal solutions and the tachyon vacuum. In each case we find that the observables are related in a simple way to the closed-string tadpole on a disk with appropriate boundary conditions. We give a sketch of an argument that this result should hold in general using the BRST invariance of the closed string two-point function. Finally, we discuss the analogous set of invariants in the Berkovits superstring field theory.
Openness to Experience Rather Than Overexcitabilities

Openness to experience is a personality factor in the five-factor model of personality, and it is composed of six facets. Facets of openness appear conceptually analogous to overexcitabilities (OEs), which are displays of inner energy guiding individuals toward advanced potential according to the theory of positive disintegration. This study examined the similarity of OEs to corresponding openness to experience facets in a sample of 149 creative adolescents and adults and 312 adults from the general population (total N = 461). Exploratory structural equation modeling tested competing models in which each OE and corresponding openness facet were modeled as separate factors and as joint factors. The separate-factor model had acceptable fit but uninterpretable loadings, while the joint-factor model had acceptable fit and interpretable loadings; thus, openness seems to encompass OEs. Accordingly, the field should align with well-researched psychological theories like the five-factor model of personality and begin to talk about openness rather than OEs.
Creative Self-Efficacy: The Influence of Affective States and Social Persuasion as Antecedents and Imagination and Divergent Thinking as Consequences

Two studies examined the influence of encouragement for creativity, curiosity, harmonious passion, and autonomy support as antecedents of creative self-efficacy and imagination and divergent thinking as consequences. College students completed a battery of questionnaires. Structural equation modeling treating the variables as latent and not normally distributed was used to test our hypotheses. Results from study 1 showed a positive influence of encouragement for creativity and curiosity on creative self-efficacy. Similarly, creative self-efficacy was a positive predictor of reproductive and creative imagination. Results from study 2 showed a positive effect of harmonious passion on creative self-efficacy. Creative self-efficacy was a positive predictor of fluency and originality scores from a divergent thinking task. The theoretical and applied implications of the results were discussed.
UBOT-7: THE DESIGN OF A COMPLIANT DEXTEROUS MOBILE MANIPULATOR

DEDICATION I would like to dedicate this thesis to my parents, Andrea Tosi and Steve Cummings. They have been a constant source of motivation and support through my entire life. Without them I would not have been able to have finished the work that I have. I would also like to dedicate this to the rest of my family, especially Morgan and Sam, and friends that have helped me every step of the way throughout my life and education. v ACKNOWLEDGMENTS Firstly, I would like to thank my Advisor, Professor Frank Sup. He has provided me with the guidance and support necessary to succeed over the past two years. Because of him I have gained much knowledge that has helped build my skills as a mechanical engineer and roboticist. I would also like to thank Professor Rod Grupen for his guidance throughout my experience at UMass. Because I spent my time divided between his lab, The Laboratory of Perceptual Robotics, and the Mechatronics and Robotics Research Laboratory, he has taught me many lessons that will extend beyond the development of the uBot-7. Additionally, I would like to thank Professor James Rinderle because he has provided me with insight into practices that will make me a better engineer. I would also like to thank all of the students in both the LPR and MRRL as I have learned as much from them as I have from any other source in the university. They have provided me with both knowledge and a work environment that I enjoyed being part of. This thesis presents the design of uBot-7, the latest version of a dexterous mobile manipulator. This platform has been iteratively developed to realize a high performance-to-cost dexterous whole body manipulator with respect to mobile manipulation. The semi-anthropomorphic design of the uBot is a demonstrated and functional research platform for developing advanced autonomous perception, manipulation, and mobility tasks. The goal of this work is to improve the uBot's ability to sense and interact with its environment in order to increase the platforms capability to operate dexterously, through the incorporation of joint torque feedback, and safely, through the implementation of passive and active compliance. This is accomplished through incorporating series elastic actuators in its arms and torso joints, improving the mechanical design to reduce backlash, and incorporating impedance controllers in the robot. The focus of this thesis is the development of the mechanical, sensor, …
Educators Acculturating to Serve Student Veterans and Service Members

Though literature on student veterans and service members’ (SVSM) transition to higher education has increased, absent is literature on the transition of non-veteran student affairs staff who work with SVSM. Using an acculturation model as a conceptual framework, this study explored strategies and processes used to adapt to working with an unfamiliar student population at a community college and research institution. Strategies included hiring a “savior” to avoid acculturation stress.