Detection of cardiovascular drugs and marine toxins using a multifunctional cell-based impedance biosensor system

2015 ◽  
Vol 7 (18) ◽  
pp. 7715-7723 ◽  
Author(s):  
Hongbo Li ◽  
Quchao Zou ◽  
Ling Zou ◽  
Qin Wang ◽  
Kaiqi Su ◽  
...  
Keyword(s):  
Data Processing ◽  
Cardiovascular Drugs ◽  
System Structure ◽  
Marine Toxins ◽  
System P ◽  
Biosensor System ◽  
Processing Module ◽  
Detection Instrument

The system structure of the CIB detection instrument: cell-based impedance biosensor units, hardware module, and data processing module.

Simulation and analysis of the coherent-dispersion spectrometer for exoplanet detection

2021 ◽  
Vol 503 (2) ◽  
pp. 3032-3043
Author(s):  
Yinhua Wu ◽  
Shasha Chen ◽  
Pengchong Wang ◽  
Shun Zhou ◽  
Yutao Feng ◽  
...  
Keyword(s):  
Data Processing ◽  
Michelson Interferometer ◽  
Energy Utilization ◽  
Design Stage ◽  
Inversion Method ◽  
Fringe Visibility ◽  
Common Path ◽  
Data Processing Method ◽  
Detection Instrument ◽  
Performance Research

ABSTRACT The coherent-dispersion spectrometer (CODES) is a new exoplanet detection instrument using the radial velocity (RV) method. This attempts mainly to improve environmental sensitivity and energy utilization by using an asymmetric, common-path Sagnac interferometer instead of a traditional Michelson interferometer. In order to verify its feasibility and to choose the appropriate key parameters to obtain the optimal performance, research on data processing for the design stage of the CODES is performed by systematic simulation and analysis. First, the instrument modelling is carried out for further data analysis according to the principle of the CODES, and the reliability of the model is verified by experiments. Second, the influence of key parameters on fringe visibility is analysed systematically, which provides a certain reference for the choice of the key parameters. Third, the RV inversion method for the CODES is proposed and optimized according to the related analysis results so as to promote RV inversion precision. Finally, the recommended values for the key parameters of the CODES are given. The experimental results show that the data processing error of RV inversion is less than 0.6 m s–1 within the recommended range of key parameters. This indicates that the scheme of the CODES is reasonable and feasible, and that the proposed data processing method is effective and well matched with the instrument design.

scholarly journals Multi-group cross section library generation for HTGR lattice physics code XPZ

2021 ◽  
Vol 2048 (1) ◽  
pp. 012028
Author(s):  
Lerui Zhang ◽  
Ding She ◽  
Lei Shi ◽  
Richard Chambon ◽  
Alain Hébert
Keyword(s):  
Data Processing ◽  
Cross Section ◽  
Nuclear Data ◽  
Automatic Generation ◽  
Detailed Data ◽  
Processing Scheme ◽  
Processing Module ◽  
Complete Set ◽  
Evaluated Nuclear Data ◽  
High Temperature Gas

Abstract The XPZ code was previously developed for the lattice physics computation in High Temperature Gas-cooled Reactors (HTGRs), which adopted the multi-group cross section library converted from the existing open-source DRAGON library. In this paper, a new format of multi-group cross section library named XPZLIB has been implemented in XPZ code. XPZLIB is designed in binary and HDF5 formats, including detailed data contents for resonance, transport and depletion calculations. A new data-processing module named XPZR is developed based on NJOY-2016 to generate nuclide dependent XPZLIB from the most recent evaluated nuclear data, and besides, the PyNjoy-2016 system is developed for automatic generation of integrated XPZLIB including a complete set of nuclides. The new generated XPZLIB is presented with the XPZ code. Numerical results demonstrate the accuracy of the new library XPZLIB and the reliability of the data processing scheme. Moreover, the influence of different versions of ENDF/B data is investigated.

Operation of a Discrete Communication System

2021 ◽  
pp. 172-214
Author(s):  
Stevan Berber
Keyword(s):  
Communication System ◽  
Communication Systems ◽  
Likelihood Function ◽  
System Structure ◽  
Mathematical Expressions ◽  
System P ◽  
Special Cases ◽  
Shift Keying ◽  
Correlation Receiver ◽  
Discrete Counterpart

In this chapter, based on definitions of signal synthesizers and analysers, a general and generic scheme of a discrete communication system is developed in order to deduce practical systems as its special cases. The synthesizer is transferred into a discrete transmitter, and the analyser is used as a correlation receiver followed by an optimum detector. The system structure is presented in terms of mathematical operators and supported by exact mathematical expressions based on the theory of discrete-time stochastic processes. The likelihood function is derived, and the maximum likelihood rule is applied to specify the decision process and construct the optimum detector. A multilevel system and a quadrature phase-shift keying system are deduced as special cases, and the bit error probability expression is derived. For the sake of continuity and completeness in presenting communication systems theory, a generic digital communication system is developed and related to its discrete counterpart.

scholarly journals High-Speed Data Processing Module for LLRF

2015 ◽  
Vol 62 (3) ◽  
pp. 1083-1090 ◽  
Author(s):  
D. Makowski ◽  
A. Mielczarek ◽  
P. Perek ◽  
A. Napieralski ◽  
L. Butkowski ◽  
...  
Keyword(s):  
Data Processing ◽  
High Speed ◽  
Processing Module ◽  
High Speed Data

Cerebrospinal fluid levels of alpha-synuclein measured using a poly-glutamic acid-modified gold nanoparticle-doped disposable neuro-biosensor system

The Analyst ◽  
2019 ◽  
Vol 144 (2) ◽  
pp. 611-621 ◽  
Author(s):  
Münteha Nur Sonuç Karaboğa ◽  
Mustafa Kemal Sezgintürk
Keyword(s):  
Parkinson’S Disease ◽  
Cerebrospinal Fluid ◽  
Glutamic Acid ◽  
Gold Nanoparticle ◽  
Alpha Synuclein ◽  
Polyglutamic Acid ◽  
Cerebrospinal Fluid Levels ◽  
System P ◽  
Biosensor System ◽  
Fluid Levels

A gold nanoparticle and polyglutamic acid-modified ITO-based biosensor system to detect alpha-synuclein, an important biomarker of Parkinson's disease.

Aquarium: an automatic data-processing and experiment information management system for biological macromolecular crystallography beamlines

2019 ◽  
Vol 52 (2) ◽  
pp. 472-477 ◽  
Author(s):  
Feng Yu ◽  
Qisheng Wang ◽  
Minjun Li ◽  
Huan Zhou ◽  
Ke Liu ◽  
...  
Keyword(s):  
Data Processing ◽  
Information Management ◽  
Web Site ◽  
Management System ◽  
Information Management System ◽  
Automatic Data Processing ◽  
Data Sets ◽  
Macromolecular Crystallography ◽  
Automatic Data ◽  
Processing Module

With the popularity of hybrid pixel array detectors, hundreds of diffraction data sets are collected at a biological macromolecular crystallography (MX) beamline every day. Therefore, the manual processing and recording procedure will be a very time-consuming and error-prone task. Aquarium is an automatic data processing and experiment information management system designed for synchrotron radiation source MX beamlines. It is composed of a data processing module, a daemon module and a web site module. Before experiments, the sample information can be registered into a database. The daemon module will submit data processing jobs to a high-performance cluster as soon as the data set collection is completed. The data processing module will automatically process data sets from data reduction to model building if the anomalous signal is available. The web site module can be used to monitor and inspect the data processing results.

scholarly journals Estimating and examining the replicability of belief system networks

2019 ◽  
Author(s):  
Mark John Brandt
Keyword(s):  
Political System ◽  
Belief Systems ◽  
Belief System ◽  
System Structure ◽  
Centrality Measures ◽  
The Political ◽  
World Values Survey ◽  
Political Systems ◽  
System P ◽  
The World

Belief system structure can be investigated by estimating belief systems as networks of interacting political attitudes, but we do not know if these estimates are replicable. In a sample of 31 countries from the World Values Survey (N = 52,826), I find that country’s belief system networks are relatively replicable in terms of connectivity, proportion of positive edges, some centrality measures (e.g., expected influence), and the estimates of individual edges. Betweenness, closeness, and strength centrality estimates are more unstable. Belief system networks estimated with smaller samples or in countries with more unstable political systems tend to be less replicable than networks estimated with larger samples in stable political systems. Although these analyses are restricted to the items available in the World Values Survey, they show that belief system networks can be replicable, but that this replicability is related to features of the study design and the political system.

scholarly journals Machine-Learning Classifiers for Malware Detection Using Data Features

2021 ◽  
Vol 15 (3) ◽  
pp. 265-290
Author(s):  
Saleh Abdulaziz Habtor ◽  
Ahmed Haidarah Hasan Dahah
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Data Processing ◽  
Evaluation Framework ◽  
Artificial Learning ◽  
Processing Module ◽  
N Gram ◽  
Using Data ◽  
Complete Process

The spread of ransomware has risen exponentially over the past decade, causing huge financial damage to multiple organizations. Various anti-ransomware firms have suggested methods for preventing malware threats. The growing pace, scale and sophistication of malware provide the anti-malware industry with more challenges. Recent literature indicates that academics and anti-virus organizations have begun to use artificial learning as well as fundamental modeling techniques for the research and identification of malware. Orthodox signature-based anti-virus programs struggle to identify unfamiliar malware and track new forms of malware. In this study, a malware evaluation framework focused on machine learning was adopted that consists of several modules: dataset compiling in two separate classes (malicious and benign software), file disassembly, data processing, decision making, and updated malware identification. The data processing module uses grey images, functions for importing and Opcode n-gram to remove malware functionality. The decision making module detects malware and recognizes suspected malware. Different classifiers were considered in the research methodology for the detection and classification of malware. Its effectiveness was validated on the basis of the accuracy of the complete process.

Development of Protocol-Independent Modular Architecture for Three Axis Force Sensor Data Processing

2021 ◽  
Vol 12 (1) ◽  
pp. 3-7
Author(s):  
P. A. Trunin ◽  
◽  
L. S. Prokhorenko ◽  
D. S. Mishchenkov ◽  
D. D. Klimov ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Transmission ◽  
Force Sensor ◽  
Sensor Data ◽  
Modular Architecture ◽  
Additional Processing ◽  
Processing Module ◽  
Abstract Class ◽  
Program Modules ◽  
Practical Recommendations

The protocol-independent architecture for three axis force sensor data processing is considered. The force sensor is based on a MLX90393 triaxial magnetic sensor, capable of transmitting data via SPI protocol or I2C protocol, depending on the force sensor modification. The data generated by the MLX90393 requires additional processing before usage. To address this issue a software library is developed. Such a library shall provide means for protocol selection based on the force sensor modification. Three alternative architectural library implementations are consid­ered: the two independent program modules for both SPI and I2C protocol data transmission and processing, the two dependent program modules for SPI and I2C data transmission and one template-based module for the data processing, the two dependent program modules for SPI and I2C data transmission based on a single abstract class and the data processing module working with a pointer to the abstract class implementation. Three experimental library implementations are developed, nine experiments are performed with varying library usage setups, supplemented with one experiment with no data processing for the reference. Various criteria are considered, both quantitative and qualitative, including, but not limited to the compiled program size and the ease of library integration. The experimental results are analysed with the help of stated criteria, conclusions and practical recommendations are made.

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