Miracle-dz/UniFAR-FTUs huggingface dataset:
The IRCAM Musical Workstation : A Prototyping and Production Tool for Real-Time Computer Music

During the past three years IRCAM has developed the IRCAM Musical Workstation (IMW). Recently we have begun work on musical tools and the realization of music with the system. Miller Puckette has written a version of MAX for the IMW which includes signal processing objects, as well as the standard objects found in the Macintosh version of MAX (including MIDI objects). The MAX environment for the IMW offers composers and researchers a powerful real-time prototyping and production tool for signal processing, synthesis, and the detection of continuous control parameters from musical instruments.
Chinese Short-Text Classification Based on Topic Model with High-Frequency Feature Expansion

Short text differs from traditional documents in its shortness and sparseness. Feature extension can ease the problem of high sparseness in the vector space model, but it inevitably introduces noise. To resolve this problem, this paper proposes a high-frequency feature expansion method based on a latent Dirichlet allocation (LDA) topic model. High-frequency features are extracted from each category as the feature space, using LDA to derive latent topics from the corpus, and topic words are extended to the short text. Extensive experiments are conducted on Chinese short messages and news titles. The proposed method for classifying Chinese short texts outperforms conventional classification methods.
Is 5-methyltetrahydrofolate an alternative to folic acid for the prevention of neural tube defects?

Abstract Women have higher requirements for folate during pregnancy. An optimal folate status must be achieved before conception and in the first trimester when the neural tube closes. Low maternal folate status is causally related to neural tube defects (NTDs). Many NTDs can be prevented by increasing maternal folate intake in the preconceptional period. Dietary folate is protective, but recommending increasing folate intake is ineffective on a population level particularly during periods of high demands. This is because the recommendations are often not followed or because the bioavailability of food folate is variable. Supplemental folate [folic acid (FA) or 5-methyltetrahydrofolate (5-methylTHF)] can effectively increase folate concentrations to the level that is considered to be protective. FA is a synthetic compound that has no biological functions unless it is reduced to dihydrofolate and tetrahydrofolate. Unmetabolized FA appears in the circulation at doses of >200 μg. Individuals show wide variations in their ability to reduce FA. Carriers of certain polymorphisms in genes related to folate metabolism or absorption can better benefit from 5-methylTHF instead of FA. 5-MethylTHF [also known as (6S)-5-methylTHF] is the predominant natural form that is readily available for transport and metabolism. In contrast to FA, 5-methylTHF has no tolerable upper intake level and does not mask vitamin B12 deficiency. Supplementation of the natural form, 5-methylTHF, is a better alternative to supplementation of FA, especially in countries not applying a fortification program. Supplemental 5-methylTHF can effectively improve folate biomarkers in young women in early pregnancy in order to prevent NTDs.
Nuclear risk perception, political efficacy, and Internet use for civic engagement in China

Nuclear power was recently reintroduced into China’s economic agenda. However, concerns have arisen as to how communities close to the sites of newly planned nuclear power plants react to the potential environmental and health risks. In a field study conducted in the proximity of the Yunxiao Nuclear Power Plant in Fujian province, it was discovered that a majority of the respondents perceived the project as having a certain level of risk. Nevertheless, online social networks were rarely used to seek relevant information, discuss benefits and threats, deliver concerns to decision-makers, or even to mobilize collective actions. Further investigation revealed a strong connection between the political efficacy of the respondents and their level of Internet use for civic engagement. The mechanisms underlying the formation of political efficacy are examined by relating the discourses of risk to their social contexts.
Perceptions of Leadership in Undergraduate Fraternal Organizations

An essential component of the culture and stated purpose of fraternities and sororities is their commitment to leadership. This is highly espoused as a prerequisite to joining and an outcome of membership. With this in mind, it is important to evaluate what leadership means in the context of a fraternity or sorority. This article concludes that leadership can be perceived as exercising power, holding formal positions, and serving as a positive role model for other members. Through understanding the multiple approaches to leadership, the culture and effectiveness of undergraduate fraternal organizations can be evaluated to verify the authenticity of claims of leadership development.
A Brief Review on Leading Big Data Models

Today, science is passing through an era of transformation, where the inundation of data, dubbed data deluge is influencing the decision making process. The science is driven by the data and is being termed as data science. In this internet age, the volume of the data has grown up to petabytes, and this large, complex, structured or unstructured, and heterogeneous data in the form of “Big Data” has gained significant attention. The rapid pace of data growth through various disparate sources, especially social media such as Facebook, has seriously challenged the data analytic capabilities of traditional relational databases. The velocity of the expansion of the amount of data gives rise to a complete paradigm shift in how new age data is processed. Confidence in the data engineering of the existing data processing systems is gradually fading whereas the capabilities of the new techniques for capturing, storing, visualizing, and analyzing data are evolving. In this review paper, we discuss some of the modern Big Data models that are leading contributors in the NoSQL era and claim to address Big Data challenges in reliable and efficient ways. Also, we take the potential of Big Data into consideration and try to reshape the original operationaloriented definition of “Big Science” (Furner, 2003) into a new data-driven definition and rephrase it as “The science that deals with Big Data is Big Science. ”
Frequency-hopped multiple-access communications with noncoherent M-ary OFDM-ASK

A noncoherent, bandwidth-efficient modulation scheme is proposed for frequency-hopping multiple-access (FH-MA) networks. The proposed scheme is a combination of noncoherent M-ary amplitude-shift keying (NMASK) and orthogonal frequency-division multiplexing (OFDM). Using this scheme minimizes the required data bandwidth. The number of frequency slots available to the users increases significantly for a fixed spread-spectrum bandwidth (BW/sub SS/). The effect of the multiple-access interference is reduced. Simple and accurate bit error rate expressions have been derived for FH-OFDM-MASK in additive white Gaussian noise channels and for FH-OFDM-ASK in Rayleigh fading channels.
Optimization and improvement of Genetic Algorithms solving Traveling Salesman Problem

Traveling Salesman Problem (TSP) is a typical NP-complete problem, of which the search space increases with the number of cities. Genetic Algorithm (GA) is an efficient optimization algorithm characterized with explicit parallelism and robustness, applicable to TSP. In this paper, we compare the performance of the existing GAs in searching the solution for TSP and find a superior combination of crossover and mutation method. Then, the improvements in the Cycle Crossover and Greedy Cross-Cycle Crossover are proposed. Finallyl experimental results show that the new Cycle Crossover and Greedy Crossover algorithms perform much better than the original ones.
Acceleration and electromyography (EMG) pattern analysis for children with cerebral palsy

This paper presents a framework of gait analysis for children with cerebral palsy (CP) using electromyography (EMG) and acceleration (ACC) signals. In this framework, ACC signals are firstly processed for stride cycle detection and segmentation, and then utilized to reveal kinematic information associated with gait abnormality, whereas the EMG signals are adopted to assess abnormal muscle activation patterns during gait movement. Six CP children with gait abnormalities were recruited to form the CP group , and two children with TD (typical development) were also recruited as the control group for gait analysis experiments. EMG signals from four typical muscles of both legs and vertical acceleration of shanks were collected simultaneously. It can be demonstrated from the experimental results that the proposed method is able to extract ACC and EMG patterns, indicating its clinical potential for the assessment and therapy of lower extremity functions for children with CP.
Performance Evaluation of Tracking for Public Transport Surveillance

Starting with the end-user requirements, it is argued that the most appropriate performance metric with which to evaluate video-based tracking methods, in the public transport domain, is to measure the information gained through their use. This is equivalent to the reduction in uncertainty about a passenger’s whereabouts, after tracking and appearance-based measurements have been taken into account. In this paper, we present a framework for the performance evaluation of such a system. Error propagation analysis is performed to investigate the impact of each system component on the final uncertainty, and allows an end-user requirement to be propagated through the system to determine the minimum performance requirement for each component. This proposed analysis framework is demonstrated on a simulated system.
Solving unbalanced data for Thai sentiment analysis

Growth of microblogging “Twitter” is dramatic among online users in Thailand. Communication on Twitter is very lively and up-to-date since users Users often express their feelings and sentiments in Twitter posts related to current topics or new growing topic. While sentiment analysis on Twitter has challenges in language related issues, such as short-length message and word usage variation, it also faces the problem of unbalanced class problem. In Twitter, people tend to make complaints more than admirations. In this paper, we propose a sampling-based method to solve data unbalanceness in Twitter sentiment analysis in Thai. Three types of sampling methods, called random, largest complete-link sampling, and largest average-link sampling are produced as preprocess before k-NN classifier. From the experimental results, the largest average-linkage sampling achieves the highest performance with the macro average F-measure of 0.57 comparing to the unbalance case.
CTXφ Replication Depends on the Histone-Like HU Protein and the UvrD Helicase

The Vibrio cholerae bacterium is the agent of cholera. The capacity to produce the cholera toxin, which is responsible for the deadly diarrhea associated with cholera epidemics, is encoded in the genome of a filamentous phage, CTXφ. Rolling-circle replication (RCR) is central to the life cycle of CTXφ because amplification of the phage genome permits its efficient integration into the genome and its packaging into new viral particles. A single phage-encoded HUH endonuclease initiates RCR of the proto-typical filamentous phages of enterobacteriaceae by introducing a nick at a specific position of the double stranded DNA form of the phage genome. The rest of the process is driven by host factors that are either essential or crucial for the replication of the host genome, such as the Rep SF1 helicase. In contrast, we show here that the histone-like HU protein of V. cholerae is necessary for the introduction of a nick by the HUH endonuclease of CTXφ. We further show that CTXφ RCR depends on a SF1 helicase normally implicated in DNA repair, UvrD, rather than Rep. In addition to CTXφ, we show that VGJφ, a representative member of a second family of vibrio integrative filamentous phages, requires UvrD and HU for RCR while TLCφ, a satellite phage, depends on Rep and is independent from HU.
Early Emotional Communication: Novel Approaches to Interaction

Early Emotional Communication: Novel Approaches to Interaction Daniel S. Messinger, Mohammad H. Mahoor, Sy-Miin Chow, J. D. Haltigan, Steven Cadavid, & Jeffrey F. Cohn dmessinger@miami.edu. Flipse Building (0751) P.O. Box 249229, Coral Gables, FL 331240751; mmahoor@du.edu. Department of Electrical and Computer Engineering, University of Denver, 2390 S. York Street, Denver, Co 80208; symiin@email.unc. edu. University of North Carolina; jhaltigan@psy.miami.edu. Flipse Building (0751) P.O. Box 249229, Coral Gables, FL 331240751; s.cadavid1@umiami.edu. Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, Coral Gables FL 33146 jeffcohn+@cs.cmu. edu. University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA 15260
Wrestling with violence : desensitization to violence through viewing professional wrestling

Several violent attacks have taken place recently where the defendant attacked the victim using wrestling-style maneuvers. This experiment tests if watching professional wrestling desensitizes college-aged subjects to acts of actual violence. Eighty-six subjects were divided into four conditions which included watching either wrestling, “Walker, Texas Ranger,” boxing, or soccer. Subjects were then exposed to the same clip of an actual violent event caught on tape. Measures reflecting how violent the subjects judged the actual violence to be and reflecting personal aggression levels were taken. After a three-day period, subjects returned to view only the video of actual violence and to complete the same measures. An analysis showed no significant differences between conditions on any of the scales measured; however, trends did indicate that there may be a relation between both watching wrestling and higher aggression levels and watching wrestling and rating the video of actual violence as less violent.
Transparent 2-D markers on an LCD tabletop system

Tabletop systems are currently being focused on and many applications using these systems are being developed. In such tabletop systems, how to recognize real objects on the table is an essential and important issue. In existing tabletop systems, 2-D markers have been often used. However, their black-and-white pattern, which means nothing to humans, spoils the appearance of the object. We developed transparent markers on a liquid crystal display (LCD) tabletop system by using the polarization features of the LCD and optical lms. In particular, through experiments with various kinds of optical films, we found that two halfwave plates make the markers rotation invariant. By using the transparent markers, tangible transparent Magic Lenses(TM) applications were developed.
Ten year trends in health inequalities among older people, 1993-2003.

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Scattered-Light Imaging in Vivo Tracks Fast and Slow Processes of Neurophysiological Activation

We imaged fast optical changes associated with evoked neural activation in the dorsal brainstem of anesthetized rats, using a novel imaging device. The imager consisted of a gradient-index (GRIN) lens, a microscope objective, and a miniature charged-coupled device (CCD) video camera. We placed the probe in contact with tissue above cardiorespiratory areas of the nucleus of the solitary tract and illuminated the tissue with 780-nm light through flexible fibers around the probe perimeter. The focus depth was adjusted by moving the camera and microscope objective relative to the fixed GRIN lens. Back-scattered light images were relayed through the GRIN lens to the CCD camera. Video frames were digitized at 100 frames per second, along with tracheal pressure, arterial blood pressure, and electrocardiogram signals recorded at 1 kHz per channel. A macroelectrode placed under the GRIN lens recorded field potentials from the imaged area. Aortic, vagal, and superior laryngeal nerves were dissected free of surrounding tissue within the neck. Separate shocks to each dissected nerve elicited evoked electrical responses and caused localized optical activity patterns. The optical response was modeled by four distinct temporal components corresponding to putative physical mechanisms underlying scattered light changes. Region-of-interest analysis revealed image areas which were dominated by one or more of the different time-course components, some of which were also optimally recorded at different tissue depths. Two slow optical components appear to correspond to hemodynamic responses to metabolic demand associated with activation. Two fast optical components paralleled electrical evoked responses.
Price Stability and Financial Stability: The Historical Record

Although the economic performance of the U.S. economy in 1997 was very good, it was troubling in at least one respect for the Federal Open Market Committee. Traditional signals of inflation - rapid money growth and high levels of economic activity - were not accompanied by higher inflation. Rather, inflation fell steadily throughout the year. The committee put forth several hypotheses for the subdued inflation but found the situation puzzling, nevertheless. Compounding the problem, members did not know how long such dampening factors might last. In the end the FOMC changed the intended federal funds target once and searched anxiously for the answers to the conundrum it faced in 1997.
On generating near-optimal tableaux for conditional functional dependencies

Conditional functional dependencies (CFDs) have recently been proposed as a useful integrity constraint to summarize data semantics and identify data inconsistencies. A CFD augments a functional dependency (FD) with a pattern tableau that defines the context (i.e., the subset of tuples) in which the underlying FD holds. While many aspects of CFDs have been studied, including static analysis and detecting and repairing violations, there has not been prior work on generating pattern tableaux, which is critical to realize the full potential of CFDs. This paper is the first to formally characterize a "good" pattern tableau, based on naturally desirable properties of support, confidence and parsimony. We show that the problem of generating an optimal tableau for a given FD is NP-complete but can be approximated in polynomial time via a greedy algorithm. For large data sets, we propose an "on-demand" algorithm providing the same approximation bound, that outperforms the basic greedy algorithm in running time by an order of magnitude. For ordered attributes, we propose the range tableau as a generalization of a pattern tableau, which can achieve even more parsimony. The effectiveness and efficiency of our techniques are experimentally demonstrated on real data.
Linking the Drugs and Pharmaceutical Databases

The quantity of biomedical publications is growing at an exponential rate. With such explosive growth of the content, it is more and more difficult to locate, retrieve and manage the resulting information. This is why text mining has become a necessity. The main goal of biomedical research is to put knowledge to practical use in the form of diagnoses, prevention, and treatment. It is important to pool the resources between the different individuals researching results. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Information Retrieval and Text Mining methods in biomedicine. The article will first look at the directions in biomedical Text Mining and then describe the work done for the BIAM project, the French on-line Medical Data Base.
Investigation of Clustering and Local Bridges in a Complex Network by Coupled Rulkov Maps

It is important to understand dynamics of complex networks. We focus on network with “local bridge” which is one of the complex networks. In this study, we investigate influence of the local bridge for network using synchronization phenomena of coupled Rulkov maps. From simulation results, when the maps switch from full synchronization to clustering, phase deviation occurs from the local bridges.