Miracle-dz/UniFAR-FTUs huggingface dataset:
RiceFREND: a platform for retrieving coexpressed gene networks in rice

Similarity of gene expression across a wide range of biological conditions can be efficiently used in characterization of gene function. We have constructed a rice gene coexpression database, RiceFREND (http://ricefrend.dna.affrc.go.jp/), to identify gene modules with similar expression profiles and provide a platform for more accurate prediction of gene functions. Coexpression analysis of 27 201 genes was performed against 815 microarray data derived from expression profiling of various organs and tissues at different developmental stages, mature organs throughout the growth from transplanting until harvesting in the field and plant hormone treatment conditions, using a single microarray platform. The database is provided with two search options, namely, ‘single guide gene search’ and ‘multiple guide gene search’ to efficiently retrieve information on coexpressed genes. A user-friendly web interface facilitates visualization and interpretation of gene coexpression networks in HyperTree, Cytoscape Web and Graphviz formats. In addition, analysis tools for identification of enriched Gene Ontology terms and cis-elements provide clue for better prediction of biological functions associated with the coexpressed genes. These features allow users to clarify gene functions and gene regulatory networks that could lead to a more thorough understanding of many complex agronomic traits.
APPROXIMATION OF HIGH FREQUENCY ACOUSTIC WAVE SURFACE INTEGRALS

This paper is concerned with the efficient evaluation of some highly oscillatory surface integrals, arising from boundary integral methods for high frequency acoustic scattering in three dimensions. The performance of standard quadrature schemes deteriorates as the frequency of the incident wave increases. We present ideas for improving the evaluation of such highly oscillatory integrals. Introduction In this paper we consider the approximation of integrals of the form
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine

The Restricted Boltzmann Machine (RBM) has proved to be a powerful tool in machine learning, both on its own and as the building block for Deep Belief Networks (multi-layer generative graphical models). The RBM and Deep Belief Network have been shown to be universal approximators for probability distributions on binary vectors. In this paper we prove several similar universal approximation results for two variations of the Restricted Boltzmann Machine with time dependence, the Temporal Restricted Boltzmann Machine (TRBM) and the Recurrent Temporal Restricted Boltzmann Machine (RTRBM). We show that the TRBM is a universal approximator for Markov chains and generalize the theorem to sequences with longer time dependence. We then prove that the RTRBM is a universal approximator for stochastic processes with _nite time dependence. We conclude with a discussion on efficiency and how the constructions developed could explain some previous experimental results.
Investigating the Role of Testosterone on Risk-Taking Behavior in Male Sprague Dawley Rats

Testosterone plays a critical role in the development of gender and gender specific traits. While the physiological functions of testosterone are well established, the hormone's influence on cognition is poorly understood. Evidence suggests that testosterone increases sensation seeking, dominance seeking, aggression, and mate-seeking behavior: behaviors that carry a component of risk. More recent findings suggest a strong association between testosterone and risky decision making in financial markets. However, the causal relationship between testosterone and risktaking behavior has yet to be determined. In the present study, we used rats, subcutaneously injected with testosterone, to test the hypothesis that exogenous testosterone administration increases risk-taking behavior. We report finding a non-significant increase in risk-taking behavior following a three day testosterone administration period. Evaluation of individual subjects, however, suggests a role of testosterone on modulating risk-taking behavior. Further replications using testosterone assays are necessary to establish a clear role of testosterone on risk-taking behavior.
Active Learning for Information Extraction via Bootstrapping

Text learning algorithms are reasonably successful when provided with enough labeled or annotated training examples. For instance, text classifiers [13, 10, 21, 4, 18] reach high accuracy from large sets of class-labeled documents; information extraction algorithms [3, 15, 19, 8] perform well when given many tagged documents or large sets of rules as input. However, creating these training sets becomes tedious and expensive, since typically they must be labeled by a person.
Granulocyte Macrophage Colony Stimulating Factor Supplementation in Culture Media for Subfertile Women Undergoing Assisted Reproduction Technologies: A Systematic Review

Granulocyte macrophage colony stimulating factor (GM-CSF) is a cytokine/growth factor produced by epithelial cells that exerts embryotrophic effects during the early stages of embryo development. We performed a systematic review, and six studies that were performed in humans undergoing assisted reproduction technologies (ART) were located. We wanted to evaluate if embryo culture media supplementation with GM-CSF could improve success rates. As the type of studies and the outcome parameters investigated were heterogeneous, we decided not to perform a meta-analysis. Most of them had a trend favoring the supplementation with GM-CSF, when outcomes were measured in terms of increased percentage of good-quality embryos reaching the blastocyst stage, improved hatching initiation and number of cells in the blastocyst, and reduction of cell death. However, no statistically significant differences were found in implantation and pregnancy rates in all apart from one large multicenter trial, which reported favorable outcomes, in terms of implantation and live birth rates. We propose properly conducted and adequately powered randomized controlled trials (RCTs) to further validate and extrapolate the current findings with the live birth rate to be the primary outcome measure.
Research on Relationship between IT Capabilities and Firm Performance-based on Industry Environment Condition

The research on relationship between IT capabilities and firm performance is hot. However, we found that many studies regard the IT capability as a whole ignoring the types of IT capabilities. Meantime they do not take into account the industry environment conditions that influence the relationship. First, we propose IT capability can be divided into IT capability of base, IT capability of application and IT capability of dynamism. Then our study supposes the industry environment is dynamic or complex or comprehensive. The article aims at empirically examining the degree to which three industry environments (dynamism, complexity and comprehensive) influence the impact of each type of IT capability on firm performance. Our results show the relationship between IT abilities and firm performance becomes more complicated when considering industry environment condition.
A Morphologically-Analyzed CHILDES Corpus of Hebrew

We present a corpus of transcribed spoken Hebrew that forms an integral part of a comprehensive data system that has been developed to suit the specific needs and interests of child language researchers: CHILDES (Child Language Data Exchange System). We introduce a dedicated transcription scheme for the spoken Hebrew data that is aware both of the phonology and of the standard orthography of the language. We also introduce a morphological analyzer that was specifically developed for this corpus.
H∞ Filtering for a class of 2D systems

The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length. At the end of each pass, the process is reset and the next time through the output, or pass profile, produced on the previous pass acts as a forcing function on, an hence contributes to, the dynamics of the new pass profile. They are hence a class of systems with information propagation in two independent directions where here the dynamics over the finite pass length are described by a matrix linear differential equation and that from pass to pass has a discrete updating structure. This means that filtering/estimation theory/algorithms for, in particular, 2D discrete linear systems is not applicable. In this paper we solve a general filtering problem with a view toward use in the many applications where such action will be required.
POINTING, ACQUISITION, AND TRACKING FOR DIRECTIONAL WIRELESS COMMUNICATIONS NETWORKS

Title of Document: POINTING, ACQUISITION, AND TRACKING FOR DIRECTIONAL WIRELESS COMMUNICATIONS NETWORKS John Robertson Rzasa, Doctor of Philosophy, 2012 Directed By: Professor Christopher C. Davis, Department of Electrical and Computer Engineering Directional wireless communications networks (DWNs) are expected to become a workhorse of the military, as they provide great network capacity in hostile areas where omnidirectional RF systems can put their users in harm’s way. These networks will also be able to adapt to new missions, change topologies, use different communications technologies, yet still reliably serve all their terminal users. DWNs also have the potential to greatly expand the capacity of civilian and commercial wireless communication. The inherently narrow beams present in these types of systems require a means of steering them, acquiring the links, and tracking to maintain connectivity. This area of technological challenges encompasses all the issues of pointing, acquisition, and tracking (PAT).
Effects of exposure to literary narrative fiction: From book smart to street smart?

Literary narrative fiction may be particularly effective in enhancing Theory of Mind (ToM), as it requires readers to contemplate author and character intentions in filling the literary ‘gaps’ that have been suggested to characterise this fiction type. The current study investigates direct and cumulative effects of reading literature on ToM using confirmatory Bayesian analyses. Direct effects were assessed by comparing the ToM skills of participants who read texts that were manipulated to differ in the amount of gap filling they required. Cumulative effects were assessed by considering the relationship between lifetime literary fiction exposure and ToM. Results showed no evidence for direct effects of reading literature on ToM. However, lifetime literary fiction exposure was associated with higher ToM, particularly cognitive ToM. Although reading a specific piece of literary fiction may thus not have immediately measurable effects on ToM, lifetime exposure to this fiction type is associated with more advanced ToM.
Using semantics for XPath query transformation

In this paper, we propose a typology of the semantic transformations for XPath queries. We focus on two main areas. The first is structural transformation for XPath query, which can be semantically contracted, expanded or complemented using structural constraints. The second is semantic qualifier transformation where the predicates, specified by [ ], in an XPath query can be eliminated or transformed. We design a set of algorithms and implement a prototype system for evaluation. We adopt two representative off-the-shelf XML data management systems to validate the effectiveness of the semantic transformations.
Colour image enhancement by hybrid approach

This paper introduces a novel image enhancement methodology driven by both global and local processes. This methodology, based on the parameters controlled hybrid approach which integrates the advantages of point operations with local enhancement techniques, can enhance, simultaneously, the overall contrast and the sharpness of an image and increase, especially, the visibility of specified portions or aspects of the image. The methodology was compared with other classical image enhancement techniques, such as linear contrast stretching and histogram equalization. Results obtained in terms of subjective evaluation have shown the superiority of the proposed approach.
Research of PSO/Genetic Algorithms and Development of its Hybrid Algorithm

The basic theories, development and applications of particle swarm optimization and genetic algorithm are introduced- d.Some models of improved PSO algorithms are outlined. Chara- cteristics of PSO and GA are compared. Two methods of hybrid of PSO and GA at present was summarized:hybrid with two algorithms entirely or with only a few steps ,and illustrated with flowchart.Limitation of two methods of hybrid was analyzed. Pointed out that hybrid algorithms can be improved with a balance be- tween speed and accuracy of computation.Finally, pointed out application of PSO needs to be extended,and hybrid with other algorithms is thought a good way to improve PSO algorithm.
Development and evaluation of a real‐time nucleic acid sequence based amplification assay for rapid detection of influenza A†

The development and introduction of effective treatment for influenza A in the form of neuraminidase inhibitors have made the rapid diagnosis of infection important especially in high‐risk populations. The aim of this study was to develop a real‐time nucleic acid sequenced based amplification (NASBA) using a molecular beacon that could detect a wide range of influenza A subtypes and strains in a single reaction by targeting a conserved region of the influenza genome, and to evaluate its sensitivity and specificity against traditional laboratory techniques on a range of clinical samples usefulness during the 2003/2004 influenza season. The results demonstrated the assay to be highly sensitive and specific, detecting <0.1 TCID50 of virus stock. Three hundred eighty‐nine clinical samples were tested in total from two patient groups. Overall, the real‐time NASBA assay detected 64% (66/103) more influenza positive samples than cell culture and direct immunofluorescence (IF) and, therefore, was shown to be more sensitive in detecting influenza A in a wide range of respiratory samples than traditional methods. In conclusion, the real‐time influenza A assay demonstrated clinical usefulness in both hospital and community populations. J. Med. Virol. 74:619–628, 2004. © 2004 Wiley‐Liss, Inc.
Assessment of voting situations: the probabilistic foundations

In this paper we revise the probabilistic foundations of the theory of the measurement of 'voting power' either as success or decisiveness. For an assessment of these features two inputs are claimed to be necessary: the voting procedure and the voters' behavior. We propose a simple model in which the voters' behavior is summarized by a probability distribution over all vote configurations. This basic model, at once simpler and more general that other probabilistic models, provides a clear conceptual common basis to reinterpret coherently from a unified point of view di.erent power indices and some related game theoretic notions, as well as a wider perspective for a dispassionate assessment of the power indices themselves, their merits and their limitations.
3D craniofacial reconstruction using reference skull-face database

Craniofacial reconstruction is aiming at estimating the outlook of an unknown or an unidentified skull. In this paper, we present an approach of the craniofacial reconstruction of Chinese people. Firstly, we build a skull-face database and classify it in terms of age, area and gender. Then Thin-Plate spline (TPS) is adopted to achieve non-rigid registration between the unidentified skull and reference skull. however, the craniofacial result is determined by the choice of reference template. Here a statistic method is adopted to estimate outlook from subclass of skull-face database using Principle component analysis. In order to improve the accuracy of the result, we select the suitable organ (eyes, nose and mouth) for the statistic result based on anatomy principle from the database and achieve the organ and face integration to build the final outlook. Finally, we show some experiments of the algorithm.
Does enjoying friendship help or impede academic achievement? Academic and social intrinsic value profiles predict academic achievement

Abstract We examine the intrinsic value students placed on schoolwork (i.e. academic intrinsic value) and social relationships (i.e. social intrinsic value). We then look at how these values predict middle and high school achievement. To do this, we came up with four profiles based on cluster analyses of 6,562 South Korean middle school students. The four are made up of students who are (1) high in both academic and social intrinsic values (Both-High), (2) high in academic and low in social intrinsic value (Academic), (3) low in academic and high in social intrinsic value (Social) and (4) low in both academic and social intrinsic values (Both-Low). For middle schoolers, the highest academic achievement scores belong to students fitting the Academic profile. For high schoolers, however, such scores belong to two profile groups – the Academic and Both-High profiles. The findings suggest that one component fundamentally important to academic achievement is academic intrinsic value.
Toward a new concept of the “cultural elite state”: Cultural capital and the urban sculpture planning authority in elite coalition in Shanghai

ABSTRACT The emergence of an attractive public art scene in urban public areas (termed urban sculpture in the Chinese context) is a recent phenomenon in Shanghai. The role of the local state in urban sculpture planning and development has not been critically examined. This article proposes a model entitled “cultural elite state” to conceptualize the characteristics of urban sculpture authority. The main argument is that the cultural capital held by individual political and social elites has a significant effect on the formation of the cultural elite coalition that influences decision making and execution in urban sculpture planning in Shanghai. First, the glue effect of cultural capital, rather than institutional arrangements, creates the cultural elite coalition. Second, actors in the cultural elite coalition are characterized with similar cultural disposition of “legitimate tastes” and art participation. Third, with the effect of cultural capital, the field of cultural development displays a relatively higher degree of autonomy, in which cross-hierarchy and cross-sector communication and mediation take place. Thus, the urban sculpture planning authority operates in a cultural elite coalition more as a loosely organized hierarchy of officers with individual cultural dispositions than as a solitary governing entity.
Maybe, maybe not: Probabilistic reasoning in preschool period

Probabilistic reasoning needs careful consideration for the development of the child’s ability to interrogate and predict the likelihood based on the findings from the evaluation of various situations or events. Children, hence, will begin to experience metacognitive skills such as considering different causes and effects, decision-making and interpreting. This study aims to explore the probabilistic reasoning skills of preschool children according to the influential variables of gender and age. Typically developing 123 children who are enrolled in the city-centre preschools in Ankara constitute the study group. In the study, five questions were asked in the probability section of the Evaluation Instrument for the Early Mathematical Reasoning Skills developed by Ergul (2014) were posed to identify the probabilistic reasoning skills of the children. Each child was treated individually to gather detailed findings. Children’s explanations to the probability questions were evaluated in detail through the use of rubrics. Findings reveal that girls and boys do not differ significantly in their probabilistic reasoning skills; but, in line with the recent literature, these skills improve as they grow up.
Inequality Aversion, Efficiency, and Maximin Preferences in Simple Distribution Experiments

We present simple one-shot distribution experiments comparing the relative importance of efficiency concerns, maximin preferences, and inequality aversion, as well as the relative performance of the fairness theories by Gary E Bolton and Axel Ockenfels and by Ernst Fehr and Klaus M. Schmidt. While the Fehr-Schmidt theory performs better in a direct comparison, this appears to be due to being in line with maximin preferences. More importantly, we find that a combination of efficiency concerns, maximin preferences, and selfishness can rationalize most of the data while the Bolton-Ockenfels and Fehr-Schmidt theories are unable to explain important patterns.
What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon

Objective This narrative review summarizes recent intentions to find potential predictor variables for ultra-triathlon race performance (ie, triathlon races longer than the Ironman distance covering 3.8 km swimming, 180 km cycling, and 42.195 km running). Results from studies on ultra-triathletes were compared to results on studies on Ironman triathletes. Methods A literature search was performed in PubMed using the terms “ultra”, “triathlon”, and “performance” for the aspects of “ultra-triathlon”, and “Ironman”, “triathlon”, and “performance” for the aspects of “Ironman triathlon”. All resulting papers were searched for related citations. Results for ultra-triathlons were compared to results for Ironman-distance triathlons to find potential differences. Results Athletes competing in Ironman and ultra-triathlon differed in anthropometric and training characteristics, where both Ironmen and ultra-triathletes profited from low body fat, but ultra-triathletes relied more on training volume, whereas speed during training was related to Ironman race time. The most important predictive variables for a fast race time in an ultra-triathlon from Double Iron (ie, 7.6 km swimming, 360 km cycling, and 84.4 km running) and longer were male sex, low body fat, age of 35–40 years, extensive previous experience, a fast time in cycling and running but not in swimming, and origins in Central Europe. Conclusion Any athlete intending to compete in an ultra-triathlon should be aware that low body fat and high training volumes are highly predictive for overall race time. Little is known about the physiological characteristics of these athletes and about female ultra-triathletes. Future studies need to investigate anthropometric and training characteristics of female ultra-triathletes and what motivates women to compete in these races. Future studies need to correlate physiological characteristics such as maximum oxygen uptake (VO2max) with ultra-triathlon race performance in order to investigate whether these characteristics are also predictive for ultra-triathlon race performance.
ONSET DETECTION WITH ARTIFICIAL NEURAL NETWORKS FOR MIREX 2005

In this document, we describe two onset detection algorithms that have participated to the Mirex 2005 onset detection contest. The proposed algorithms, first classify frames of a spectrogram into onset or non-onset, using a feedforward neural network. From the classification of each frames, it extract the onset times, using a simple peak picking algorithm, based on a moving average.