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https://www.readbyqxmd.com/read/29351697/roles-of-transit-time-flow-measurement-for-coronary-artery-bypass-surgery
#1
Yoshiyuki Takami, Yasushi Takagi
Transit-time flow measurement (TTFM) has been increasingly applied to detect graft failure during coronary artery bypass grafting (CABG), because TTFM is less invasive, more reproducible, and less time consuming. Many authors have attempted to validate TTFM and to gain the clear cutoff values and algorithm in TTFM to predict graft failure. The TTFM technology has also been shown to be a useful tool to investigate CABG graft flow characteristics and coronary circulation physiology. It is important to recognize the practical roles of TTFM in the cardiac operating room by review and summarize the literatures...
January 19, 2018: Thoracic and Cardiovascular Surgeon
https://www.readbyqxmd.com/read/29351656/evaluation-of-a-new-neutron-energy-spectrum-unfolding-code-based-on-an-adaptive-neuro-fuzzy-inference-system-anfis
#2
Seyed Abolfazl Hosseini, Iman Esmaili Paeen Afrakoti
The purpose of the present study was to reconstruct the energy spectrum of a poly-energetic neutron source using an algorithm developed based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is a kind of artificial neural network based on the Takagi-Sugeno fuzzy inference system. The ANFIS algorithm uses the advantages of both fuzzy inference systems and artificial neural networks to improve the effectiveness of algorithms in various applications such as modeling, control and classification. The neutron pulse height distributions used as input data in the training procedure for the ANFIS algorithm were obtained from the simulations performed by MCNPX-ESUT computational code (MCNPX-Energy engineering of Sharif University of Technology)...
January 17, 2018: Journal of Radiation Research
https://www.readbyqxmd.com/read/29351612/a-mutational-signature-associated-with-alcohol-consumption-and-prognostically-significantly-mutated-driver-genes-in-esophageal-squamous-cell-carcinoma
#3
X C Li, M Y Wang, M Yang, H J Dai, B F Zhang, W Wang, X L Chu, X Wang, H Zheng, R F Niu, W Zhang, K X Chen
Background: Esophageal squamous cell carcinoma (ESCC) is often diagnosed at an advanced and incurable stage. Information on driver genes and prognosticators in ESCC remains incomplete. The objective was to elucidate significantly mutated genes (SMGs), mutational signatures, and prognosticators in ESCC. Patients and Methods: Three MutSig algorithms (i.e. MutSigCV, MutSigCL and MutSigFN) and "20/20+" ratio-metric were employed to identify SMGs. Nonnegative matrix factorization was used to decipher mutational signatures...
January 16, 2018: Annals of Oncology: Official Journal of the European Society for Medical Oncology
https://www.readbyqxmd.com/read/29351554/field-data-based-mathematical-modeling-by-bode-equations-and-vector-fitting-algorithm-for-renewable-energy-applications
#4
A H Sabry, W Z W Hasan, M Z A Ab Kadir, M A M Radzi, S Shafie
The power system always has several variations in its profile due to random load changes or environmental effects such as device switching effects when generating further transients. Thus, an accurate mathematical model is important because most system parameters vary with time. Curve modeling of power generation is a significant tool for evaluating system performance, monitoring and forecasting. Several numerical techniques compete to fit the curves of empirical data such as wind, solar, and demand power rates...
2018: PloS One
https://www.readbyqxmd.com/read/29351345/to-impres-or-to-expres-exploiting-comparative-judgments-to-measure-and-visualize-implicit-and-explicit-preferences
#5
Tom Everaert, Adriaan Spruyt, Jan De Houwer
We introduce an adaptation of the affect misattribution procedure (AMP), called the implicit preference scale (IMPRES). Participants who complete the IMPRES indicate their preference for one of two, simultaneously presented Chinese ideographs. Each ideograph is preceded by a briefly presented prime stimulus that is irrelevant to the task. Participants are hypothesized to prefer the ideograph that is preceded by the prime they prefer. In the present research, the IMPRES was designed to capture racial attitudes (preferences for white versus black faces) and age-related attitudes (preferences for young versus old faces)...
2018: PloS One
https://www.readbyqxmd.com/read/29351344/the-morphing-of-geographical-features-by-fourier-transformation
#6
Jingzhong Li, Pengcheng Liu, Wenhao Yu, Xiaoqiang Cheng
This paper presents a morphing model of vector geographical data based on Fourier transformation. This model involves three main steps. They are conversion from vector data to Fourier series, generation of intermediate function by combination of the two Fourier series concerning a large scale and a small scale, and reverse conversion from combination function to vector data. By mirror processing, the model can also be used for morphing of linear features. Experimental results show that this method is sensitive to scale variations and it can be used for vector map features' continuous scale transformation...
2018: PloS One
https://www.readbyqxmd.com/read/29351329/radiocarbon-dating-uncertainty-and-the-reliability-of-the-pewma-method-of-time-series-analysis-for-research-on-long-term-human-environment-interaction
#7
W Christopher Carleton, David Campbell, Mark Collard
Statistical time-series analysis has the potential to improve our understanding of human-environment interaction in deep time. However, radiocarbon dating-the most common chronometric technique in archaeological and palaeoenvironmental research-creates challenges for established statistical methods. The methods assume that observations in a time-series are precisely dated, but this assumption is often violated when calibrated radiocarbon dates are used because they usually have highly irregular uncertainties...
2018: PloS One
https://www.readbyqxmd.com/read/29351324/abnormal-network-flow-detection-based-on-application-execution-patterns-from-web-of-things-wot-platforms
#8
Young Yoon, Hyunwoo Jung, Hana Lee
In this paper, we present a research work on a novel methodology of identifying abnormal behaviors at the underlying network monitor layer during runtime based on the execution patterns of Web of Things (WoT) applications. An execution pattern of a WoT application is a sequence of profiled time delays between the invocations of involved Web services, and it can be obtained from WoT platforms. We convert the execution pattern to a time sequence of network flows that are generated when the WoT applications are executed...
2018: PloS One
https://www.readbyqxmd.com/read/29351317/hafts-are-novel-lncrna-transcripts-from-aflatoxin-exposure
#9
B Alex Merrick, Justin S Chang, Dhiral P Phadke, Meredith A Bostrom, Ruchir R Shah, Xinguo Wang, Oksana Gordon, Garron M Wright
The transcriptome can reveal insights into precancer biology. We recently conducted RNA-Seq analysis on liver RNA from male rats exposed to the carcinogen, aflatoxin B1 (AFB1), for 90 days prior to liver tumor onset. Among >1,000 differentially expressed transcripts, several novel, unannotated Cufflinks-assembled transcripts, or HAfTs (Hepatic Aflatoxin Transcripts) were found. We hypothesized PCR-cloning and RACE (rapid amplification of cDNA ends) could further HAfT identification. Sanger data was obtained for 6 transcripts by PCR and 16 transcripts by 5'- and 3'-RACE...
2018: PloS One
https://www.readbyqxmd.com/read/29351314/species-richness-of-eurasian-zephyrus-hairstreaks-lepidoptera-lycaenidae-theclini-with-implications-on-historical-biogeography-an-ndm-vndm-approach
#10
Hailing Zhuang, Masaya Yago, Josef Settele, Xiushan Li, Rei Ueshima, Nick V Grishin, Min Wang
AIM: A database based on distributional records of Eurasian Zephyrus hairstreaks (Lepidoptera: Lycaenidae: Theclini) was compiled to analyse their areas of endemism (AoEs), species richness and distribution patterns, to explore their locations of past glacial refugia and dispersal routes. METHODS: Over 2000 Zephyrus hairstreaks occurrences are analysed using the NDM/VNDM algorithm, for the recognition of AoEs. Species richness was calculated by using the option 'Number of different classes' to count the different classes of a variable presented in each 3...
2018: PloS One
https://www.readbyqxmd.com/read/29351304/evolutionary-algorithm-based-heuristic-scheme-for-nonlinear-heat-transfer-equations
#11
Azmat Ullah, Suheel Abdullah Malik, Khurram Saleem Alimgeer
In this paper, a hybrid heuristic scheme based on two different basis functions i.e. Log Sigmoid and Bernstein Polynomial with unknown parameters is used for solving the nonlinear heat transfer equations efficiently. The proposed technique transforms the given nonlinear ordinary differential equation into an equivalent global error minimization problem. Trial solution for the given nonlinear differential equation is formulated using a fitness function with unknown parameters. The proposed hybrid scheme of Genetic Algorithm (GA) with Interior Point Algorithm (IPA) is opted to solve the minimization problem and to achieve the optimal values of unknown parameters...
2018: PloS One
https://www.readbyqxmd.com/read/29351302/extension-of-the-viral-ecology-in-humans-using-viral-profile-hidden-markov-models
#12
Zurab Bzhalava, Emilie Hultin, Joakim Dillner
When human samples are sequenced, many assembled contigs are "unknown", as conventional alignments find no similarity to known sequences. Hidden Markov models (HMM) exploit the positions of specific nucleotides in protein-encoding codons in various microbes. The algorithm HMMER3 implements HMM using a reference set of sequences encoding viral proteins, "vFam". We used HMMER3 analysis of "unknown" human sample-derived sequences and identified 510 contigs distantly related to viruses (Anelloviridae (n = 1), Baculoviridae (n = 34), Circoviridae (n = 35), Caulimoviridae (n = 3), Closteroviridae (n = 5), Geminiviridae (n = 21), Herpesviridae (n = 10), Iridoviridae (n = 12), Marseillevirus (n = 26), Mimiviridae (n = 80), Phycodnaviridae (n = 165), Poxviridae (n = 23), Retroviridae (n = 6) and 89 contigs related to described viruses not yet assigned to any taxonomic family)...
2018: PloS One
https://www.readbyqxmd.com/read/29351287/a-novel-association-rule-mining-approach-using-tid-intermediate-itemset
#13
Iyad Aqra, Tutut Herawan, Norjihan Abdul Ghani, Adnan Akhunzada, Akhtar Ali, Ramdan Bin Razali, Manzoor Ilahi, Kim-Kwang Raymond Choo
Designing an efficient association rule mining (ARM) algorithm for multilevel knowledge-based transactional databases that is appropriate for real-world deployments is of paramount concern. However, dynamic decision making that needs to modify the threshold either to minimize or maximize the output knowledge certainly necessitates the extant state-of-the-art algorithms to rescan the entire database. Subsequently, the process incurs heavy computation cost and is not feasible for real-time applications. The paper addresses efficiently the problem of threshold dynamic updation for a given purpose...
2018: PloS One
https://www.readbyqxmd.com/read/29351229/joint-bearing-and-range-estimation-of-multiple-objects-from-time-frequency-analysis
#14
Jeng-Cheng Liu, Yuang-Tung Cheng, Hsien-Sen Hung
Direction-of-arrival (DOA) and range estimation is an important issue of sonar signal processing. In this paper, a novel approach using Hilbert-Huang transform (HHT) is proposed for joint bearing and range estimation of multiple targets based on a uniform linear array (ULA) of hydrophones. The structure of this ULA based on micro-electro-mechanical systems (MEMS) technology, and thus has attractive features of small size, high sensitivity and low cost, and is suitable for Autonomous Underwater Vehicle (AUV) operations...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351224/n-dimensional-lll-reduction-algorithm-with-pivoted-reflection
#15
Zhongliang Deng, Di Zhu, Lu Yin
The Lenstra-Lenstra-Lovász (LLL) lattice reduction algorithm and many of its variants have been widely used by cryptography, multiple-input-multiple-output (MIMO) communication systems and carrier phase positioning in global navigation satellite system (GNSS) to solve the integer least squares (ILS) problem. In this paper, we propose an n-dimensional LLL reduction algorithm (n-LLL), expanding the Lovász condition in LLL algorithm to n-dimensional space in order to obtain a further reduced basis. We also introduce pivoted Householder reflection into the algorithm to optimize the reduction time...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351223/a-novel-walking-detection-and-step-counting-algorithm-using-unconstrained-smartphones
#16
Xiaomin Kang, Baoqi Huang, Guodong Qi
Recently, with the development of artificial intelligence technologies and the popularity of mobile devices, walking detection and step counting have gained much attention since they play an important role in the fields of equipment positioning, saving energy, behavior recognition, etc. In this paper, a novel algorithm is proposed to simultaneously detect walking motion and count steps through unconstrained smartphones in the sense that the smartphone placement is not only arbitrary but also alterable. On account of the periodicity of the walking motion and sensitivity of gyroscopes, the proposed algorithm extracts the frequency domain features from three-dimensional (3D) angular velocities of a smartphone through FFT (fast Fourier transform) and identifies whether its holder is walking or not irrespective of its placement...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351215/multi-sensor-data-integration-using-deep-learning-for-characterization-of-defects-in-steel-elements
#17
Grzegorz Psuj
Nowadays, there is a strong demand for inspection systems integrating both high sensitivity under various testing conditions and advanced processing allowing automatic identification of the examined object state and detection of threats. This paper presents the possibility of utilization of a magnetic multi-sensor matrix transducer for characterization of defected areas in steel elements and a deep learning based algorithm for integration of data and final identification of the object state. The transducer allows sensing of a magnetic vector in a single location in different directions...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351088/fraction-variant-beam-orientation-optimization-for-non-coplanar-imrt
#18
Daniel O'Connor, Victoria Yu, Dan Nguyen, Dan Ruan, Ke Sheng
Conventional beam orientation optimization (BOO) algorithms for IMRT assume that the same set of beam angles is used for all treatment fractions. In this paper we present a BOO formulation based on group sparsity that simultaneously optimizes non-coplanar beam angles for all fractions, yielding a fraction-variant (FV) treatment plan. Beam angles are selected by solving a multi-fraction fluence map optimization problem involving 500-700 candidate beams per fraction, with an additional group sparsity term that encourages most candidate beams to be inactive...
January 19, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29350922/computing-curvature-sensitivity-of-biomolecules-in-membranes-by-simulated-buckling
#19
Federico Elias-Wolff, Martin Lindén, Alexander P Lyubartsev, Erik G Brandt
Membrane curvature sensing, where the binding free energies of membrane-associated molecules depend on the local membrane curvature, is a key factor to modulate and maintain the shape and organization of cell membranes. However, the microscopic mechanisms are not well understood, partly due to absence of efficient simulation methods. Here, we describe a method to compute the curvature dependence of the binding free energy of a membrane-associated probe molecule that interacts with a buckled membrane, which has been created by lateral compression of a flat bilayer patch...
January 19, 2018: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/29350603/decision-tree-analysis-in-subarachnoid-hemorrhage-prediction-of-outcome-parameters-during-the-course-of-aneurysmal-subarachnoid-hemorrhage-using-decision-tree-analysis
#20
Isabel Charlotte Hostettler, Carl Muroi, Johannes Konstantin Richter, Josef Schmid, Marian Christoph Neidert, Martin Seule, Oliver Boss, Athina Pangalu, Menno Robbert Germans, Emanuela Keller
OBJECTIVE The aim of this study was to create prediction models for outcome parameters by decision tree analysis based on clinical and laboratory data in patients with aneurysmal subarachnoid hemorrhage (aSAH). METHODS The database consisted of clinical and laboratory parameters of 548 patients with aSAH who were admitted to the Neurocritical Care Unit, University Hospital Zurich. To examine the model performance, the cohort was randomly divided into a derivation cohort (60% [n = 329]; training data set) and a validation cohort (40% [n = 219]; test data set)...
January 19, 2018: Journal of Neurosurgery
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