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Contrary information is recorded in the process of Ribonucleic Acid transcription, which is similar to the anti-synchronization process. In this paper, the anti-synchronization of coupled Boolean networks is investigated. Firstly, the definition of anti-synchronization is introduced, and the drive-response Boolean networks dynamics are translated into linear representations with the semi-tensor product...
Automatic detection of physiological changes in leaves using close range hyperspectral data is becoming a new tool for biologists. Given the geometry of leaves, the reliability of spectral data strongly depends on a careful spectral and geometric calibrations. In this paper, we evaluate the effect of several calibration approaches on automatic classification of leave regions. For our experiments we...
Accurate assessment of carotid artery disease by measuring blood flow, plaque deformation and pulse wave velocity using ultrasound imaging requires 3D information. Additionally, the volume rates should be high enough (> 1 kHz) to capture the full range of these fast transient phenomena. For this purpose, we have built a programmable, tileable matrix array that is capable of providing 3D ultrasound...
This work is focused on the exploration and application of entities extraction techniques for the codification and identification of geographical locations present in the geographic distribution section within botanic documents, such as the plant species manual of Costa Rica. Additional to the identification and codification, an algorithm to bind the geo-coding to a gazetteer is presented. This algorithm...
Typologies of college graduates of the Faculty of Exact, Physical and Natural Sciences (FCEFN) of the National University of San Juan, which have relevance in their academic performance and in the academic quality of the faculty were established. For that purpose we worked with college graduates of year 2014, by applying two data analysis approaches: the classical and the symbolic one. For the first...
This paper proposes a method of searching for promising young researchers using network centrality of co-author relationship. This method estimates researchers' potential based on transition of betweenness centralities in co-author networks. We thought that excellent researchers always show high betweenness centralities, in contrast, betweenness centralities of promising researchers will grow with...
While EVI and LAI are the most widely used vegetation parameters which can be used for remote sensing phenology extraction, this paper aims at assessing the differences of phenology information extracted from EVI and LAI time series and exploring either EVI or LAI time series performs well for all vegetation types over a large scale. To achieve this, GLASS-LAI phenology product(GLP) was generated...
In biology and medicine, it is critical to study the amount, distribution, movement, status, and behavior of cells. To do this, one should well segment cells from three dimensional (3D) cell images in prior and precisely extract the moving path of each cell. In this work, an advanced 3D cell segmentation and tracing algorithm is proposed. It applies local histograms to perform adaptive thresholding...
Based on establishing an assessment indicators system of innovation capability on high-tech industries, this paper applied an algorithm method on rough set theory to get weight of each indicators and made evaluation for capability of 7 main high-tech industries in 2014. The results showed that compared with the innovation input and output, the innovation efficiency was the biggest influence on the...
In this work, we propose a method collaborating the local similarity and local community paradigm with a tunable parameter to balance the contribution of the energy from these two sources. We show that local similarity e.g., common neighbors and local community paradigm e.g., local community links both play significant roles in network evolution; therefore, one cannot ignore or penalize anyone of...
Pharmacogenomics studies are widely adopted in clinical practices and it helps in understanding the effect of drug and its dosage based on individual's genetic makeup. The pharmacogenomics data available in open repositories are used to find the molecular associations between genes, pathways, diseases and the drug dosage effects. With the advent of various sequencing projects, the data deposited in...
Controlling and quantifying the presence of Posidonia Oceanica (P.O.) in the Mediterranean sea is crucial for the conservation of these endemic ecosystems and to underscore the negative impact of many anthropogenic activities. These activities, which include uncontrolled leisure anchoring or illegal drag fishing, directly affect the tourism and fishing industries. Nowadays, the control and quantification...
The essence of bioinformatics is to research, develop, or apply computational tools to biology related data. We confirmed in this paper that bioinformatics tools have been emerging exponentially from 1988–2016. To aide in tool discovery, many directories were established. Though the number of citations to the tools were provided in some directories, none describe how the tools were used. Currently...
We present a biologically motivated manifold learning framework for image set classification inspired by Independent Component Analysis for Grassmann manifolds. A Grassmann manifold is a collection of linear subspaces, such that each subspace is mapped on a single point on the manifold. We propose constructing Grassmann subspaces using Independent Component Analysis for robustness and improved class...
Coronary artery disease is one of the major causes of death throughout the world. An effective method for diagnosing this disease is X-ray angiography. The images are usually of poor quality and low contrast. This is due to non-uniform illumination, appearance of other body organs and artifacts, low SNR values, etc. Accurate segmentation of arteries is a challenging and important task. In this paper...
Evaluation of ecological carrying capacity has a great significance on ecosystem health and sustainable development. The sustainable development of ecological environment has become one of the most prominent issues in China. The high resolution data include GF1, ZY1-02C and ZY3 were obtained from China Center for Resources Satellite Data and Application. We resampled these data to 5m due to the different...
We present new results in the context of automatic assessment of the presence of acid fast bacilli (AFB) in images of ZN-stained sputum smears. Specifically, the first phase involving color segmentation in the HSV space is improved in terms of quality by using a decision-tree classifier. Further, we have recognized the possibility of staining artifacts of large size, and propose a method of discriminating...
The interaction of electromagnetic fields and biological tissues is relevant in various technical applications. The design of medical equipment and treatment plans generally benefits greatly from simulation; additionally, simulation can give insight into living tissue where measurement is almost impossible. This also holds for all kinds of wireless communication devices surrounding us such as mobile...
According to statistics and analysis of the papers in the Science Citation Index published during 2009–2013 in Guangzhou, we investigated the authors of papers in the Science Citation Index. Then we found some conclusion including the performance of papers about science and technology in Guangzhou. Finally, we made some suggestions-speeding the construction of the major innovation platform; giving...
In this work, we compare two skewness-based salient event detector algorithms, which can detect transients in human speech signals. Speech transients are characterized by rapid changes in signal energy. The purpose of this study was to compare the identification of transients by two different methods based on skewness calculation in order to develop a method to be used in studying the processing of...
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