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Development and Validation of a Pathology Image Analysis-based Predictive Model for Lung Adenocarcinoma Prognosis - A Multi-cohort Study

Prediction of disease prognosis is essential for improving cancer patient care. Previously, we have demonstrated the feasibility of using quantitative morphological features of tumor pathology images to predict the prognosis of lung cancer patients in a single cohort. In this study, we developed and validated a pathology image-based predictive model for the prognosis of lung...

Key Performance Indicators Relevant Fault Diagnosis and Process Control Approaches for Industrial Applications

Rostock, Rostock, Germany Correspondence should be addressed to Shen Yin; nc.ude.tih@niy.nehs Received 25 December 2017; Accepted 26 December 2017; Published 1 February 2018 Copyright © 2018 Shen Yin ... readers can all benefit from this special issue. Shen Yin Yongqiang Wang Guang Wang Abdul-Qayyum Khan Adel Haghani

Gill monogeneans of Nile tilapia (Oreochromis niloticus) and red hybrid tilapia (Oreochromis spp.) from the wild and fish farms in Perak, Malaysia: infection dynamics and spatial distribution

Tilapia is one of the commercially important fish in Malaysia as well as in other parts of the world. An understanding of monogenean infection dynamics in tilapia fish may assist us in searching for some intervention measures in reducing the loss of fish caused by parasitic diseases. The present study aimed (1) to compare infection level of monogeneans between the wild and...

DNA Double-Strand Breaks Induce the Nuclear Actin Filaments Formation in Cumulus-Enclosed Oocytes but Not in Denuded Oocytes

As a gamete, oocyte needs to maintain its genomic integrity and passes this haploid genome to the next generation. However, fully-grown mouse oocyte cannot respond to DNA double-strand breaks (DSBs) effectively and it is also unable to repair them before the meiosis resumption. To compensate for this disadvantage and control the DNA repair events, oocyte needs the cooperation...

Cumulus Cells Block Oocyte Meiotic Resumption via Gap Junctions in Cumulus Oocyte Complexes Subjected to DNA Double-Strand Breaks

During mammalian oocyte growth, genomic DNA may accumulate DNA double-strand breaks (DSBs) induced by factors such as reactive oxygen species. Recent evidence demonstrated that slight DSBs do not activate DNA damage checkpoint proteins in denuded oocytes. These oocytes, even with DNA DSBs, can resume meiosis and progress to metaphase of meiosis II. Meiotic resumption in oocytes...

Residual Generator-Based Controller Design via Process Measurements

This paper deals with designing the controller of LTI system based on data-driven techniques. We propose a scheme embedding a residual generator into control loop based on realization of the Youla parameterization for advanced controller design. Basic idea of the proposed scheme is constructing the residual generator by using the solution of the Luenberger equations as well as...

Fault Detection and Diagnosis in Process Data Using Support Vector Machines

For the complex industrial process, it has become increasingly challenging to effectively diagnose complicated faults. In this paper, a combined measure of the original Support Vector Machine (SVM) and Principal Component Analysis (PCA) is provided to carry out the fault classification, and compare its result with what is based on SVM-RFE (Recursive Feature Elimination) method...

Fault Detection and Diagnosis in Process Data Using Support Vector Machines

For the complex industrial process, it has become increasingly challenging to effectively diagnose complicated faults. In this paper, a combined measure of the original Support Vector Machine (SVM) and Principal Component Analysis (PCA) is provided to carry out the fault classification, and compare its result with what is based on SVM-RFE (Recursive Feature Elimination) method...

Robust Coordinated Formation for Multiple Surface Vessels Based on Backstepping Sliding Mode Control

We investigate the problem of coordinated formation control for multiple surface vessels in the presence of unknown external disturbances. In order to realize the leaderless coordinated formation and achieve the robustness against unknown external disturbances, a new robust coordinated formation control algorithm based on backstepping sliding mode control is proposed. The...

Robust Coordinated Formation for Multiple Surface Vessels Based on Backstepping Sliding Mode Control

We investigate the problem of coordinated formation control for multiple surface vessels in the presence of unknown external disturbances. In order to realize the leaderless coordinated formation and achieve the robustness against unknown external disturbances, a new robust coordinated formation control algorithm based on backstepping sliding mode control is proposed. The...

Quality Evaluation Based on Multivariate Statistical Methods

Engineering, Faculty of Engineering and Science of the University of Agder, 4898 Grimstad, Norway Received 22 October 2013; Accepted 6 November 2013 Academic Editor: Xiaojie Su Copyright © 2013 Shen Yin et

Quality Evaluation Based on Multivariate Statistical Methods

Engineering, Faculty of Engineering and Science of the University of Agder, 4898 Grimstad, Norway Received 22 October 2013; Accepted 6 November 2013 Academic Editor: Xiaojie Su Copyright © 2013 Shen Yin et

Quality Evaluation Based on Multivariate Statistical Methods

Engineering, Faculty of Engineering and Science of the University of Agder, 4898 Grimstad, Norway Received 22 October 2013; Accepted 6 November 2013 Academic Editor: Xiaojie Su Copyright © 2013 Shen Yin et

Multivariate Methods Based Soft Measurement for Wine Quality Evaluation

2014; Accepted 13 May 2014; Published 3 June 2014 Academic Editor: Josep M. Rossell Copyright © 2014 Shen Yin et al. This is an open access article distributed under the Creative Commons Attribution

Active Vibration Control in Mechanical Systems

assisting us. The hard work of all the reviewers of these papers is also very greatly acknowledged. Weichao Sun Hamid Reza Karimi Shen Yin Josep M. Rossell

Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process

Editor: Hui Zhang Copyright © 2014 Shen Yin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and

Robust Estimation for Discrete Markov System with Time-Varying Delay and Missing Measurements

This paper addresses the filtering problem for time-delayed Markov jump systems (MJSs) with intermittent measurements. Within network environment, missing measurements are taken into account, since the communication channel is supposed to be imperfect. A Bernoulli process is utilized to describe the phenomenon of the missing measurements. The original system is transformed into...

Robust Estimation for Discrete Markov System with Time-Varying Delay and Missing Measurements

This paper addresses the filtering problem for time-delayed Markov jump systems (MJSs) with intermittent measurements. Within network environment, missing measurements are taken into account, since the communication channel is supposed to be imperfect. A Bernoulli process is utilized to describe the phenomenon of the missing measurements. The original system is transformed into...

Metric Learning Method Aided Data-Driven Design of Fault Detection Systems

Fault detection is fundamental to many industrial applications. With the development of system complexity, the number of sensors is increasing, which makes traditional fault detection methods lose efficiency. Metric learning is an efficient way to build the relationship between feature vectors with the categories of instances. In this paper, we firstly propose a metric learning...

Design of a TFT-LCD Based Digital Automobile Instrument

The traditional mechanical instrument lacks the ability to satisfy the market with characters of favorable compatibility, easy upgrading, and fashion. Thus the design of a TFT-LCD (thin film transistor-liquid crystal display) based automobile instrument is carried out. With a 7-inch TFT-LCD and the 32-bit microcontroller MB91F599, the instrument could process various information...