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https://www.readbyqxmd.com/read/28813000/an-ameliorated-prediction-of-drug-target-interactions-based-on-multi-scale-discrete-wavelet-transform-and-network-features
#1
Cong Shen, Yijie Ding, Jijun Tang, Xinying Xu, Fei Guo
The prediction of drug-target interactions (DTIs) via computational technology plays a crucial role in reducing the experimental cost. A variety of state-of-the-art methods have been proposed to improve the accuracy of DTI predictions. In this paper, we propose a kind of drug-target interactions predictor adopting multi-scale discrete wavelet transform and network features (named as DAWN) in order to solve the DTIs prediction problem. We encode the drug molecule by a substructure fingerprint with a dictionary of substructure patterns...
August 16, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28811830/changes-of-blood-flux-at-bl21-and-points-along-bl-meridian-resulted-from-acupuncture-or-moxibustion-case-cross-design-study
#2
Guangjun Wang, Shuyong Jia, Hongyan Li, Ze Wang, Yuying Tian, Weibo Zhang
Acupuncture (Acup) and moxibustion (Moxi) are commonly used interventions in clinical practice. However, the difference between Acup and moxibustion mechanisms is unclear. In current study, blood perfusion responses resulted from Acup or Moxi at Weishu acupoint (BL21) and control points were explored, respectively. The time series of blood flux signals at BL21 and control points were transformed with Morlet wavelet, and the differences in each frequency interval were observed. The results suggested that acupoint response to different stimulation is a comprehensive process which related to all components of blood perfusion signals...
2017: Evidence-based Complementary and Alternative Medicine: ECAM
https://www.readbyqxmd.com/read/28811662/fractal-properties-of-shoreline-changes-on-a-storm-exposed-island
#3
Xiaojing Zhong, Peng Yu, Shenliang Chen
Extreme storm events and their consequent shoreline changes are of great importance for understanding coastal evolution and assessing storm hazards. This work investigates the fractal properties of the spatial distributions of shoreline changes caused by storms. Wavelet analysis and upper-truncated power law (UTPL) fitting are used to study the power spectra of shoreline changes and to evaluate the upper limits of the cross-shore erosion and accretion. During a period affected by storms, the alongshore shoreline change patterns are strong on the 15 km scale but are weak with lower spectral power on the 20 km scale...
August 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28809719/hybrid-fuzzy-wavelet-neural-networks-architecture-based-on-polynomial-neural-networks-and-fuzzy-set-relation-inference-based-wavelet-neurons
#4
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
This paper presents a hybrid fuzzy wavelet neural network (HFWNN) realized with the aid of polynomial neural networks (PNNs) and fuzzy inference-based wavelet neurons (FIWNs). Two types of FIWNs including fuzzy set inference-based wavelet neurons (FSIWNs) and fuzzy relation inference-based wavelet neurons (FRIWNs) are proposed. In particular, a FIWN without any fuzzy set component (viz., a premise part of fuzzy rule) becomes a wavelet neuron (WN). To alleviate the limitations of the conventional wavelet neural networks or fuzzy wavelet neural networks whose parameters are determined based on a purely random basis, the parameters of wavelet functions standing in FIWNs or WNs are initialized by using the C-Means clustering method...
August 11, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28807534/computed-tomography-radiomics-predicts-hpv-status-and-local-tumor-control-after-definitive-radiochemotherapy-in-head-and-neck-squamous-cell-carcinoma
#5
Marta Bogowicz, Oliver Riesterer, Kristian Ikenberg, Sonja Stieb, Holger Moch, Gabriela Studer, Matthias Guckenberger, Stephanie Tanadini-Lang
PURPOSE: This study aimed to predict local tumor control (LC) after radiochemotherapy of head and neck squamous cell carcinoma (HNSCC) and human papillomavirus (HPV) status using computed tomography (CT) radiomics. METHODS AND MATERIALS: HNSCC patients treated with definitive radiochemotherapy were included in the retrospective study approved by the local ethical commission (93 and 56 patients in the training and validation cohorts, respectively). Three hundred seventeen CT radiomic features, including those based on shape, intensity, texture, and wavelet transform, were calculated in the primary tumor region...
June 15, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28807374/design-and-application-of-discrete-wavelet-packet-transform-based-multiresolution-controller-for-liquid-level-system
#6
Rimi Paul, Anindita Sengupta
A new controller based on discrete wavelet packet transform (DWPT) for liquid level system (LLS) has been presented here. This controller generates control signal using node coefficients of the error signal which interprets many implicit phenomena such as process dynamics, measurement noise and effect of external disturbances. Through simulation results on LLS problem, this controller is shown to perform faster than both the discrete wavelet transform based controller and conventional proportional integral controller...
August 11, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28805666/multiple-cracks-detection-in-pipeline-using-damage-index-matrix-based-on-piezoceramic-transducer-enabled-stress-wave-propagation
#7
Guofeng Du, Qingzhao Kong, Hua Zhou, Haichang Gu
Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with piezoceramic transducers. A pipeline segment instrumented with five distributed piezoceramic transducers was used as the testing specimen in this research. Four cracks were artificially cut on the specimen, and each crack had six damage cases corresponding to different crack depths...
August 12, 2017: Sensors
https://www.readbyqxmd.com/read/28800322/relationship-between-skin-blood-flow-regulation-mechanisms-and-vascular-endothelial-growth-factor-in-patients-with-metabolic-syndrome
#8
E Smirnova, S Shulkina, E Loran, S Podtaev, N Antonova
The focus of this paper is the determination of endothelial dysfunction in patients with metabolic syndrome (MetS) and the establishment of a relationship between the traditional biomarkers of endothelial dysfunction and the vascular tone regulation indices obtained from indirect cold tests in MetS patients. Our investigation was conducted on 30 patients aged 45.5±9 years. The control group comprised 14 healthy subjects aged 48.2±2.4 years. The mechanism of vascular tone regulation was investigated using the wavelet analysis of skin temperature oscillations (WAST)...
August 11, 2017: Clinical Hemorheology and Microcirculation
https://www.readbyqxmd.com/read/28798683/enhanced-gamma-activity-and-cross-frequency-interaction-of-resting-state-electroencephalographic-oscillations-in-patients-with-alzheimer-s-disease
#9
Jing Wang, Yuxing Fang, Xiao Wang, Huichao Yang, Xin Yu, Huali Wang
Cognitive impairment, functional decline and behavioral symptoms that characterize Alzheimer's disease (AD) are associated with perturbations of the neuronal network. The typical electroencephalographic (EEG) features in AD patients are increased delta or theta rhythm and decreased alpha or beta rhythm activities. However, considering the role of cross-frequency couplings in cognition, the alternation of cross-frequency couplings in AD patients is still obscure. This study aims to explore the interaction dynamics between different EEG oscillations in AD patients...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28797700/4dct-imaging-to-assess-radiomics-feature-stability-an-investigation-for-thoracic-cancers
#10
Ruben T H M Larue, Lien Van De Voorde, Janna E van Timmeren, Ralph T H Leijenaar, Maaike Berbée, Meindert N Sosef, Wendy M J Schreurs, Wouter van Elmpt, Philippe Lambin
BACKGROUND AND PURPOSE: Quantitative tissue characteristics derived from medical images, also called radiomics, contain valuable prognostic information in several tumour-sites. The large number of features available increases the risk of overfitting. Typically test-retest CT-scans are used to reduce dimensionality and select robust features. However, these scans are not always available. We propose to use different phases of respiratory-correlated 4D CT-scans (4DCT) as alternative. MATERIALS AND METHODS: In test-retest CT-scans of 26 non-small cell lung cancer (NSCLC) patients and 4DCT-scans (8 breathing phases) of 20 NSCLC and 20 oesophageal cancer patients, 1045 radiomics features of the primary tumours were calculated...
August 7, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/28796179/design-and-implementation-of-2-45-ghz-passive-saw-temperature-sensors-with-bpsk-coded-rfid-configuration
#11
Chen Fu, Yabing Ke, Min Li, Jingting Luo, Honglang Li, Guangxing Liang, Ping Fan
A surface acoustic wave based passive temperature sensor capable of multiple access is investigated. Binary Phase Shift Keying (BPSK) codes of eight chips were implemented using a reflective delay line scheme on a Y-Z LiNbO₃ piezoelectric substrate. An accurate simulation based on the combined finite- and boundary element method (FEM/BEM) was performed in order to determine the optimum design parameters. The scaling factor 's' and time delay factor 'τ' were extracted using signal processing techniques based on the wavelet transform of the correlation function, and then evaluated at various ambient temperatures...
August 10, 2017: Sensors
https://www.readbyqxmd.com/read/28783128/evaluation-of-early-age-concrete-compressive-strength-with-ultrasonic-sensors
#12
Hyejin Yoon, Young Jin Kim, Hee Seok Kim, Jun Won Kang, Hyun-Moo Koh
Surface wave velocity measurement of concrete using ultrasonic sensors requires testing on only one side of a member. Thus, it is applicable to concrete cast inside a form and is often used to detect flaws and evaluate the compressive strength of hardened concrete. Predicting the in situ concrete strength at a very early stage inside the form helps with determining the appropriate form removal time and reducing construction time and costs. In this paper, the feasibility of using surface wave velocities to predict the strength of in situ concrete inside the form at a very early stage was evaluated...
August 7, 2017: Sensors
https://www.readbyqxmd.com/read/28781931/influence-of-gender-on-muscle-fatigue-during-dynamic-knee-contractions
#13
Chiharu Fujisawa, Akira Tamaki, Eiji Yamada, Hirofumi Matsuoka
PURPOSE: The purpose was to compare quadriceps muscle fatigue and change in surface electromyogram (sEMG) spectral power, muscle thickness, and peak torque (normalized by body weight) in men and women during isokinetic knee contractions. METHODS: Nineteen healthy volunteers (10 men, 9 women) participated. The volunteers performed 32 consecutive maximal isokinetic knee contractions for peak torque and muscle fatigue index (FI). The sEMG data were analyzed using wavelet analysis for median frequency (MF)...
2017: Physical Therapy Research
https://www.readbyqxmd.com/read/28778057/unsupervised-detection-and-removal-of-muscle-artifacts-from-scalp-eeg-recordings-using-canonical-correlation-analysis-wavelets-and-random-forests
#14
Maria N Anastasiadou, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis
OBJECTIVE: This paper proposes supervised and unsupervised algorithms for automatic muscle artifact detection and removal from long-term EEG recordings, which combine canonical correlation analysis (CCA) and wavelets with random forests (RF). METHODS: The proposed algorithms first perform CCA and continuous wavelet transform of the canonical components to generate a number of features which include component autocorrelation values and wavelet coefficient magnitude values...
July 8, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28773148/an-intelligent-gear-fault-diagnosis-methodology-using-a-complex-wavelet-enhanced-convolutional-neural-network
#15
Weifang Sun, Bin Yao, Nianyin Zeng, Binqiang Chen, Yuchao He, Xincheng Cao, Wangpeng He
As a typical example of large and complex mechanical systems, rotating machinery is prone to diversified sorts of mechanical faults. Among these faults, one of the prominent causes of malfunction is generated in gear transmission chains. Although they can be collected via vibration signals, the fault signatures are always submerged in overwhelming interfering contents. Therefore, identifying the critical fault's characteristic signal is far from an easy task. In order to improve the recognition accuracy of a fault's characteristic signal, a novel intelligent fault diagnosis method is presented...
July 12, 2017: Materials
https://www.readbyqxmd.com/read/28772929/bearing-fault-detection-based-on-empirical-wavelet-transform-and-correlated-kurtosis-by-acoustic-emission
#16
Zheyu Gao, Jing Lin, Xiufeng Wang, Xiaoqiang Xu
Rolling bearings are widely used in rotating equipment. Detection of bearing faults is of great importance to guarantee safe operation of mechanical systems. Acoustic emission (AE), as one of the bearing monitoring technologies, is sensitive to weak signals and performs well in detecting incipient faults. Therefore, AE is widely used in monitoring the operating status of rolling bearing. This paper utilizes Empirical Wavelet Transform (EWT) to decompose AE signals into mono-components adaptively followed by calculation of the correlated kurtosis (CK) at certain time intervals of these components...
May 24, 2017: Materials
https://www.readbyqxmd.com/read/28769548/biorthogonal-wavelets-and-tight-framelets-from-smoothed-pseudo-splines
#17
Jie Zhou, Hongchan Zheng
In order to get divergence free and curl free wavelets, one introduced the smoothed pseudo spline by using the convolution method. The smoothed pseudo splines can be considered as an extension of pseudo splines. In this paper, we first show that the shifts of a smoothed pseudo spline are linearly independent. The linear independence of the shifts of a pseudo spline is a necessary and sufficient condition for the construction of the biorthogonal wavelet system. Based on this result, we generalize the results of Riesz wavelets and derive biorthogonal wavelets from smoothed pseudo splines...
2017: Journal of Inequalities and Applications
https://www.readbyqxmd.com/read/28766478/novel-approach-for-the-simultaneous-determination-of-carbinoxamine-maleate-pholcodine-and-ephedrine-hydrochloride-without-interference-from-coloring-matter-in-an-antitussive-preparation-using-smart-spectrophotometric-methods
#18
Azza A Moustafa, Maha A Hegazy, Dalia Mohamed, Omnia Ali
The presence of coloring matters in syrups usually interferes with the spectrophotometric determination of active pharmaceutical ingredients. A novel approach was introduced to eliminate the interference of sunset yellow (coloring matter) in Cyrinol syrup. Smart, simple, accurate, and selective spectrophotometric methods were developed and validated for the simultaneous determination of a ternary mixture of carbinoxamine maleate, pholcodine, and ephedrine hydrochloride in syrup. Four of the applied methods used ratio spectra: successive derivative subtraction coupled with constant multiplication, successive derivative of ratio spectra, ratio subtraction coupled with ratio difference, and ratio spectra continuous wavelet transforms zero-crossing...
August 1, 2017: Journal of AOAC International
https://www.readbyqxmd.com/read/28764870/heart-murmur-detection-based-on-wavelet-transformation-and-a-synergy-between-artificial-neural-network-and-modified-neighbor-annealing-methods
#19
Gholamhossein Eslamizadeh, Ramin Barati
Early recognition of heart disease plays a vital role in saving lives. Heart murmurs are one of the common heart problems. In this study, Artificial Neural Network (ANN) is trained with Modified Neighbor Annealing (MNA) to classify heart cycles into normal and murmur classes. Heart cycles are separated from heart sounds using wavelet transformer. The network inputs are features extracted from individual heart cycles, and two classification outputs. Classification accuracy of the proposed model is compared with five multilayer perceptron trained with Levenberg-Marquardt, Extreme-learning-machine, back-propagation, simulated-annealing, and neighbor-annealing algorithms...
May 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28764415/sparse-dictionary-for-synthetic-transmit-aperture-medical-ultrasound-imaging
#20
Ping Wang, Jin-Yang Jiang, Na Li, Han-Wu Luo, Fang Li, Shi-Gang Cui
It is possible to recover a signal below the Nyquist sampling limit using a compressive sensing technique in ultrasound imaging. However, the reconstruction enabled by common sparse transform approaches does not achieve satisfactory results. Considering the ultrasound echo signal's features of attenuation, repetition, and superposition, a sparse dictionary with the emission pulse signal is proposed. Sparse coefficients in the proposed dictionary have high sparsity. Images reconstructed with this dictionary were compared with those obtained with the three other common transforms, namely, discrete Fourier transform, discrete cosine transform, and discrete wavelet transform...
July 2017: Journal of the Acoustical Society of America
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