Miracle-dz/UniFAR-FTUs huggingface dataset:
A Framework for Scalable Genome Assembly on Clusters, Clouds, and Grids

Bioinformatics researchers need efficient means to process large collections of genomic sequence data. One application of interest, genome assembly, has great potential for parallelization; however, most previous attempts at parallelization require uncommon high-end hardware. This paper introduces the Scalable Assembler at Notre Dame (SAND) framework that can achieve significant speedup using large numbers of commodity machines harnessed from clusters, clouds, and grids. SAND interfaces with the Celera open-source assembly toolkit, replacing two independent sequential modules with scalable parallel alternatives: the candidate selector exploits distributed memory capacity, and the sequence aligner exploits distributed computing capacity. For large problems, these modules provide robust task and data management while also achieving speedup with high efficiency. We show results for several data sets ranging from 738 thousand to over 320 million alignments using resources ranging from a small cluster to more than a thousand nodes spanning three institutions.
Compact Wideband Frequency Reconfigurable Metamaterial Antenna Design

This paper presents the design of compact wideband frequency reconfigurable metamaterial (MTM) antenna. The design is based on the idea of obtaining single and multi-bands in wideband metamaterial antenna within the range of bandwidth. This is achieved by introducing capacitive slots which neutralize inductive properties and generate left handed capacitive parameter. The three series slots in the patch contribute for bandwidth enhancement while two PIN Diode Switches provide multi-bands operation. Computer Simulation Technology (CST) software is used to determine the operation and effectiveness of the proposed antenna. The approach has several notable merits which include improvement of spectrum utilization, minimize spectrum congestion, interference and provide bands selectivity. From the simulation results, it was found that, bandwidth was improved to 2.8 GHz which is equivalent to 82% fractional bandwidth. Also, it can switch to seven different frequency bands of operation with only two number of switches. The realized peak gain is 2.44 dBi and 3.15 dBi at 2.4 GHz and 5.0 GHz respectively with average efficiency of 95%. The antenna can be utilized for wireless communication and cognitive radio application.
Bose-Einstein condensate in non-homogeneous gravitational field

Ground state properties of trapped Bose condensate with repulsive interaction in non-homogeneous gravitational field are studied. Spatial structure of Bose condensate and its momentum distributions in 3-D anisotropic trap are considered by the solution of the modified non-linear Schrodinger equation. The results are compared with the corresponding properties of condensate in a harmonic trap without gravitational field.
Factors That Limit and Strategies That Might Encourage People's Use of Public Parks

The purposes of this study were to extend previous constraints research by determining what constraints limited people's use of public parks in an urban environment, how willing people would be to visit parks given various changes in park operations and programming, and whether these patterns were functions of the separate or interactive effects of age and gender. Data from a survey of nonusers of public parks in Greater Cleveland revealed that the most intense and widespread category of constraints related to the availability of time, and that improved programming and promotion received the most widespread support as types of strategies to encourage park use in the future. Older women were found to be particularly constrained by safety issues, lack of companionship, and poor health. The analyses also revealed that perceived constraints and willingness to visit parks given certain changes were more a function of the separate rather than interactive effects of age and gender.
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| Oculomotor control in a humanoid robot faces similar problems as biological oculomotor systems, i.e., capturing targets accurately on a very narrow fovea, dealing with large delays in the control system, the stabilization of gaze in face of unknown perturbations of the body, selective attention, and the complexity of stereo vision. In this paper, we suggest control circuits to realize three of the most basic oculomotor behaviors and their integration the vestibulo-ocular and optokinetic re ex (VOR-OKR) for gaze stabilization, smooth pursuit for tracking moving objects, and saccades for overt visual attention. Each of these behaviors and the mechanism for their integration was derived with inspiration from computational theories as well as behavioral and physiological data in neuroscience. Our implementations on a humanoid robot demonstrate good performance of the oculomotor behaviors, which proves to be a viable strategy to explore novel control mechanisms for humanoid robotics. Conversely, insights gained from our models have been able to directly in uence views and provide new directions for computational neuroscience research. Key words| oculomotor control, computational neuroscience, feedback-error-learning, predictive control, visual attention, online statistical learning
A hybrid fuzzy clustering approach for fertile and unfertile analysis

Diagnosis of male infertility by the laboratory tests is expensive, and sometimes it is intolerable for patients. Filling out the questionnaire and then using classification method can be the first step in decision making process, so only in the cases with a high probability of infertility, we can use the laboratory tests. In this paper, we evaluated the performance of four classification methods including naive Bayesian, neural network, logistic regression, and fuzzy c-means clustering as a classification, in the diagnosis of male infertility due to environmental factors. Since the data are unbalanced, the ROC curves are most suitable method for the comparison. In this paper, we also have selected the more important features using a filtering method and examined the impact of this feature reduction on the performance of each method; generally, most of the methods had better performance after applying the filter. We have showed that using fuzzy c-means clustering as a classification has a good performance according to the ROC curves and its performance is comparable to other classification methods like logistic regression.
Process for preparing carboxylic acids

The present invention provides a method of a carboxylic acid in a liquid phase (n + 1) carbon atoms by rhodium-catalyzed carbonylation reactions of several carbon atoms containing alcohol is prepared containing. The method is particularly adapted to operate in a stable state and with a low fixed amount of water (e.g., 0.5 to 5% (by weight)) industrial hydroformylation reactor to produce acetic acid from methanol. Improvement of the method is that the carbonylation reaction is carried out in an iodide stabilizer (eg lithium iodide) and the presence of a Group VIB metal costabiliser. The method may optionally carried out in the presence of hydrogen.
The jet power extracted from a magnetized accretion disc

We consider the power of a relativistic jet accelerated by the magnetic field of an accretion disc. It is found that the power extracted from the disc is mainly determined by the field strength and configuration of the field far from the disc. Comparing it with the power extracted from a rotating black hole, we find that the jet power extracted from a disc can dominate over that from the rotating black hole. However, in some cases, the jet power extracted from a rapidly rotating hole can be more important than that from the disc, even if the poloidal field threading the hole is not significantly larger than that threading the inner edge of the disc. The results imply that the radio-loudness of quasars may be governed by its accretion rate, which might be regulated by the central black hole mass. It is proposed that the different disc field generation mechanisms might be tested against observations of radio-loud quasars if their black hole masses are available.
Pika Gut May Select for Rare but Diverse Environmental Bacteria

The composition of the mammalian gut bacterial communities can be influenced by the introduction of environmental bacteria in their respective habitats. However, there are no extensive studies examining the interactions between environmental bacteriome and gut bacteriome in wild mammals. Here, we explored the relationship between the gut bacterial communities of pika (Ochotona spp.) and the related environmental bacteria across host species and altitudinal sites using 16S rRNA gene sequencing. Plateau pikas (O. curzoniae) and Daurian pikas (O. daurica) were sampled at five different sites, and plant and soil samples were collected at each site as well. Our data indicated that Plateau pikas and Daurian pikas had distinct bacterial communities. The pika, plant and soil bacterial communities were also distinct. Very little overlap occurred in the pika core bacteria and the most abundant environmental bacteria. The shared OTUs between pikas and environments were present in the environment at relatively low abundance, whereas they were affiliated with diverse bacterial taxa. These results suggested that the pika gut may mainly select for low-abundance but diverse environmental bacteria in a host species-specific manner.
Synergy-based policy improvement with path integrals for anthropomorphic hands

In this work, a synergy-based reinforcement learning algorithm has been developed to confer autonomous grasping capabilities to anthropomorphic hands. In the presence of high degrees of freedom, classical machine learning techniques require a number of iterations that increases with the size of the problem, thus convergence of the solution is not ensured. The use of postural synergies determines dimensionality reduction of the search space and allows recent learning techniques, such as Policy Improvement with Path Integrals, to become easily applicable. A key point is the adoption of a suitable reward function representing the goal of the task and ensuring one-step performance evaluation. Force-closure quality of the grasp in the synergies subspace has been chosen as a cost function for performance evaluation. The experiments conducted on the SCHUNK 5-Finger Hand demonstrate the effectiveness of the algorithm showing skills comparable to human capabilities in learning new grasps and in performing a wide variety from power to high precision grasps of very small objects.
Output design considerations in wireless portable through-the-earth communications system using current injection

Through-The-Earth (TTE) wireless communication systems are very useful in confined areas, tunnels or mines where electromagnetic waves suffer from high attenuation. This attenuation is introduced by the dissipative media that forms the channel so low frequency signals are mandatory in the communication resulting in a poor antenna/system efficiency. Up to date designed amplifiers use class A, B or AB stages, making the overall efficiency even worse. This paper presents to the wireless designers the design of an efficient output topology around a switching class-S amplifier which maintains efficiency in spite of a widely varying load. A working prototype based in the proposed design is evaluated in terms of efficiency for the whole range of loads and used frequencies.
The enactive approach: Theoretical sketches from cell to society

There is a small but growing community of researchers spanning a spectrum of disciplines which are united in rejecting the still dominant computationalist paradigm in favor of the enactive approach. The framework of this approach is centered on a core set of ideas, such as autonomy, sense-making, emergence, embodiment, and experience. These concepts are finding novel applications in a diverse range of areas. One hot topic has been the establishment of an enactive approach to social interaction. The main purpose of this paper is to serve as an advanced entry point into these recent developments. It accomplishes this task in a twofold manner: (i) it provides a succinct synthesis of the most important core ideas and arguments in the theoretical framework of the enactive approach, and (ii) it uses this synthesis to refine the current enactive approach to social interaction. A new operational definition of social interaction is proposed which not only emphasizes the cognitive agency of the individuals and the irreducibility of the interaction process itself, but also the need for jointly co-regulated action. It is suggested that this revised conception of ‘socio-cognitive interaction’ may provide the necessary middle ground from which to understand the confluence of biological and cultural values in personal action.
Dimension Reduction in Intrusion Detection Using Manifold Learning

Manifold learning is an emerging and promising approach in nonlinear dimension reduction. Representative methods include locally linear embedding (LLE) and Isomap. However, both methods fail to guarantee connectedness of the constructed neighborhood graphs. We propose k variable method called kv-LLE and kv-Isomap to build connected neighborhood graphs so as to enhance the robustness. The applicability of above two modified dimension reduction methods is examined by combining with the classifier of one class SVM. We evaluate new schemes with the KDD dataset and UNM dataset. Experiment results demonstrate higher detection rate and significant lower false positive rate on kv-Isomap method. The kv-LLE method is more suitable for kinds of text classification tasks. And the algorithm kv-Isomap performs much better than kv-LLE. We also have an unexpected gain in marking singular points.
Poster: Cluster analysis based traffic prediction method from real traffic traces in LTE networks

In this paper, the relationship between traffic and radio resources is analyzed combined with the real LTE network data. We found that the correlation between traffic and resources in LTE networks is much more complex than that in traditional networks like 2G and 3G, which can be exploited to predict their trends. So we employ a prediction method based on multidimensional correlation and cluster analysis to predict traffic and resources. By analyzing a large number of historical data from current LTE systems, this method can not only improve the prediction accuracy but also greatly reduce the complexity of the algorithm.
Organic User Interfaces: Framework, Interaction Model and Design Guidelines

Under the umbrella of Ubiquitous Computing, lies the fields of natural, organic and tangible user interfaces. Although some work have been made in organic user interface (OUI) design principles, no formalized framework have been set for OUIs and their interaction model, or design-specific guidelines, as far as we know. In this paper we propose an OUI framework by which we deduced the developed interaction model for organic systems design. Moreover we recommended three main design principles for OUI design, in addition to a set of design-specific guidelines for each type of our interaction model. Our proposed framework is deduced based on previous work of other related researches for Graphical User Interface (GUI) and Tangible User Interface (TUI) frameworks. By categorizing the input techniques of OUI systems, we were able to propose the ‘/ Manipulation/ air-Gesture’ (SMaG) interaction model. Each category of SMaG model is explored thoroughly and criticized accordingly. Based on the SMaG interaction model we introduced some design guidelines for OUIs. The proposed OUI design principles are based on three usability aspects: look, feel and design. We conclude by pointing out our proposed OUI usability guidelines and considerations regarding design-specific organic interfaces that uses each of the input interaction techniques of SMaG model, their best use, worst use and how to use.
Factors affecting the capabilities of family development centre staff regarding promotion of pre-school language learning amongst parents in Thailand

Purpose The purpose of this paper is to investigate the factors contributing to the competencies and capabilities of Family Development Center (FDC) staff in order to promote pre-school language developmental support amongst parents. Design/methodology/approach A cross-sectional study was conducted amongst 260 FDC staff under the supervision of Thai local authorities in the rural province of Suphanburi in Thailand from July to September 2016. Self-administered questionnaires were used. Eligible participants with at least a year’s experience on the FDC committee were purposively selected. Analyses were performed by descriptive statistics, Pearson’s correlation, Spearman’s correlation, χ2 test and stepwise multiple regression. Findings Only 23.5 percent of staff had a high level of capability. The respondents’ perceptions of their self-capability were inﬂuenced by motivation, attitudes toward promoting language learning amongst parents, self-efficacy, sufficient budget and receiving constructive appraisal support (r=0.387, 0.328, 0.366, 0.106 and 0.104, respectively). Marital status was negatively associated with FDC staff capability (r=−0.172). The multivariate analysis showed that 23.9 percent of the variability of FDC staff’s self-capability could be explained by their motivation for working, attitude, self-efficacy and marital status (p<0.001). Originality/value Research findings could be used to improve motivation for working, positive attitudes and self-efficacy regarding parenting promotion for pre-school language development to achieve standardized quality performance. Results of this study could also form the basis for designing effective training programs for FDC staff in the context of the specific organization and community.
System-level transformations for low power data transfer and storage

In this chapter we present our system level power exploration methodology for data-dominated multi-media applications. This formalized methodology is based on the observation that for this type of applications the power consumption is dominated by the data transfer and storage organisation. Hence, the ﬁrst exploration phase should be to come up with an optimized data transfer and storage organisation. In this chapter, we concentrate on the upper stage in our proposed script, focusing on system-level transformations.
The cost of multiple representations: Learning number symbols with abstract and concrete representations.

Parents are frequently advised to use number books to help their children learn the meaning of number words and symbols. How should these resources be designed to best support learning? Previous research has shown that number books typically include multiple concrete representations of number. However, a large body of mathematics education research has demonstrated that there may be costs, as well as benefits, to using both multiple representations and concrete representations when learning mathematical concepts. Here we used an artificial symbol learning paradigm to explore whether the use of abstract (arrays of dots) or multiple concrete (changing arrays of pictures) numerical representations resulted in better learning of novel numerical symbols by children. Across 3 experiments, we found that children who learned the meaning of novel symbols by pairing them with numerosities represented by arrays of dots performed better on a subsequent symbolic comparison task than those who paired them with multiple concrete representations, or a mixture of abstract and multiple concrete representations. This advantage was not due to abstract representations being inherently superior to concrete representations, but instead to the use of multiple concrete representations. We conclude that the very common practice of using multiple concrete representations in children’s number books may not be the most effective to support children’s early number learning. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Heart Rate Variability (HRV)

Heart rate is mainly determined by pacemaker current generated in the SA node. It, in turn, is regulated by autonomic nervous system. Sympathetic stimulation enhances chronotropic, ionotropic and dromotropic activity via α and β receptor activation whereas, parasympathetic stimulation causes reverse effect on heart via the M2 receptors. Varied input from these two branches of the ANS produces change in heart rate. So, HRV, therefore, is the change in the time interval between two consecutive heartbeats. In other words, HRV is the time difference between a given heart beat to the mean duration of heartbeat. Like all other organs of the body, heart is also susceptible to aging and diseases. These conditions influence heart rate and also HRV. Today, HRV has invited much investigation and debate. Electronic databases Google Scholar, IMSEAR (Index Medicus for South-East Asia Region), Scopemed and MEDLINE/PubMed were extensively explored with key words “HRV” or “Heart Rate Variability” from earliest possible date (1973) to December, 2016 and the available information summarized. Different aspects of HRV have been covered including historical background, HRV Analysis Methods, Interpretation of HRV, software’s used for HRV recording, importance of HRV measurement, HRV in varying conditions, drugs etc. HRV offers a relatively simple, well-tolerated, and inexpensive method for studying physiological and pathophysiological processes in a noninvasive manner. However, there are several important challenges in this area of study. There are a number of confounding variables which contribute to HRV data collection and interpretation open to question. Again, one should not compare one’s HRV with others, since HRV is affected by numerous internal and external factors, namely, age, lifestyle, hormones, body functions etc.
Short-Term Effect of Prosthesis Transforming Sensory Modalities on Walking in Stroke Patients with Hemiparesis

Sensory impairments caused by neurological or physical disorders hamper kinesthesia, making rehabilitation difficult. In order to overcome this problem, we proposed and developed a novel biofeedback prosthesis called Auditory Foot for transforming sensory modalities, in which the sensor prosthesis transforms plantar sensations to auditory feedback signals. This study investigated the short-term effect of the auditory feedback prosthesis on walking in stroke patients with hemiparesis. To evaluate the effect, we compared four conditions of auditory feedback from plantar sensors at the heel and fifth metatarsal. We found significant differences in the maximum hip extension angle and ankle plantar flexor moment on the affected side during the stance phase, between conditions with and without auditory feedback signals. These results indicate that our sensory prosthesis could enhance walking performance in stroke patients with hemiparesis, resulting in effective short-term rehabilitation.