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monitoring photodynamic therapy of head and neck malignancies with optical spectroscopies

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World Journal of Clinical Cases 2013年第3期1卷 96-105页

作者： Ulas Sunar Department of Cell Stress Biology and Oncology PDT CenterRoswell Park Cancer InstituteBuffaloNew YorkNY 14263United States

In recent years there has been significant developments in photosensitizers(PSs), light sources and light delivery systems that have allowed decreasing the treatment time and skin phototoxicity resulting in more frequent use of photodynamic therapy(PDT) in the clinical settings. Compared to standard treatment approaches such as chemo-radiation and surgery, PDT has much reduced morbidity for head and neck malignancies and is becoming an alternative treatment option. It can be used as an adjunct therapy to other treatment modalities without any additive cumulative side effects. Surface illumination can be an option for pre-malignant and early-stage malignancies while interstitial treatment is for debulking of thick tumors in the head and neck region. PDT can achieve equivalent or greater efficacy in treating head and neck malignancies, suggesting that it may be considered as a first line therapy in the future. Despite progressive development, clinical PDT needs improvement in several topics for wider acceptance including standardization of protocols that involve the same administrated light and PS doses and establishing quantitative tools for PDT dosimetry planning and response monitoring. Quantitative measures such as optical parameters, PS concentration, tissueoxygenation and blood flow are essential for accurate PDT dosimetry as well as PDT response monitoring and assessing therapy outcome. Unlike conventional imaging modalities like magnetic resonance imaging, novel optical imaging techniques can quantify PDT-related parameters without any contrast agent administration and enable real-time assessment during PDT for providing fast feedback to clinicians. Ongoing developments in optical imaging offer the promise of optimization of PDT protocols with improved outcomes.

关键词： Head and neck cancer Photodynamic therapy monitoring and predicting response Blood flow Oxygenation Oxygen metabolism Diffuse optical imaging

Flexible electrochemical fiber sensor for intracranial nitric oxide monitoring

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Science China Chemistry 2024年第8期67卷 2431-2433页

作者： Ziwei Liu Huisheng Peng State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular ScienceInstitute of Fiber Materials and Devicesand Laboratory of Advanced MaterialsFudan UniversityShanghai 200438China

Real-time and accurate monitoring of vital biomarkers in vivo forms a crucial foundation for health assessment,early intervention,and disease ***,continuous monitoring of intracranial nitric oxide(NO)levels plays a pivotal role in promptly assessing immune responses,neurovirulence,and cerebrovascular diseases[1].Differing from non-real-time monitoring methods like chemiluminescence[2]and fluorescent probes[3],implantable electrochemical sensors excel in simultaneously high temporal resolution,sensitivity,and cost-effectiveness[4].

关键词： prompt electrochemical monitoring

Activation characteristics analysis on concealed fault in the excavating coal roadway based on microseismic monitoring technique

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International Journal of Mining Science and Technology 2017年第5期27卷 883-887页

作者： Liu Chao Li Shugang Cheng Cheng Xue Junhua School of Safety Science and Engineering Xi’an University of Science and TechniqueXi’an 710054China State Key Laboratory of Deep Coal Mining&Environment Protection Huainan 710054China

In order to effectively monitor the concealed fault activation process in excavation activities, based on the actual condition of a working face containing faults with high outburst danger in Xin Zhuangzi mine in Huainan, China, we carried out all-side tracking and monitoring on the fault activation process and development trend in excavation activities by establishing a microseismic monitoring system. The results show that excavation activities have a rather great influence on the fault activation. With the working face approaching the fault, the fault activation builds up and the outburst danger increases; when the excavation activities finishes, the fault activation tends to be stable. The number of microseismic events are corresponding to the intensity of fault activation, and the distribution rules of microseismic events can effectively determine the fault occurrence in the mine. Microseismic monitoring technique is accurate in terms of detecting geologic tectonic activities, such as fault activations lying ahead during excavation activities. By utilizing this technique, we can determine outburst danger in excavation activities in time and accordingly take effective countermeasures to prevent and reduce the occurrence of outburst accidents.

关键词： Excavation roadway Fault Microseismic monitoring technique Coal and gas outburst Activation characteristics

Application of a microseismic monitoring system in deep mining

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Journal of University of Science and Technology Beijing 2007年第1期14卷 6-8页

作者： Chengxiang Yang Zhouquan Luo Guobin Hu Xiaoming Liu School of Resources and Safety Engineering Central South University Changsha 410083 China

A microseismic monitoring system was used in the Donggua Shan underground copper mine, and its application was introduced. The spacial distribution of the seismic event was monitored effectively during mining with this system. The distribution of the seismic intensity in different time periods and in the different mining districts was obtained via the clustering analysis of the monitored results, and the different intensity concentration districts of seismicity were compartmentalized. The various characteristics and waveforms of different vibrations in the underground mine were revealed with the help of the micro-seismic monitoring system. It was proved that the construction and application of the micro-seismic monitoring system in the mine not only realized the continuous monitoring of seismicity in the deep mine, but also settled an this system.

关键词： microseismicity monitoring event deep mining important foundation for further studies on hazard prediction, based on

Optical sensing in condition monitoring of gas insulated apparatus:a review

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High Voltage 2019年第4期4卷 259-270页

作者： Hong-yang Zhou Guo-ming Ma Yuan Wang Wei-qi Qin Jun Jiang Chao Yan Cheng-rong Li North China Electric Power University Beinong Road#2BeijingPeople's Republic of China Nanjing University of Aeronautics and Astronautics No.169 Sheng Tai West RoadNanjingPeople's Republic of China Princeton University PrincetonState of New JerseyUSA

Health monitoring of gas insulated apparatus is critical to improve the reliability and to reduce the life cycle *** the various methods for monitoring,optical sensing developed fast in recent years due to their highly sensitive and antielectromagnetic interference *** study reviews the optical monitoring methods for partial discharge,gas concentration and temperature of gas insulted *** addition,the challenges of sensor development are carefully discussed *** future prospects of optical monitoring of gas insulated apparatus are also analysed to inspire new ideas.

关键词： apparatus monitoring condition

An adaptive Mealy machine model for monitoring crop status

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Journal of Integrative Agriculture 2017年第2期16卷 252-265页

作者： Berk Ustundag Agricultural and Environmental Informatics Application & Research Center/Faculty of Informatics and Computer Engineering Istanbul Technical University Istanbul 34469 Turkey

Variation in phenological stage is the major nonlinearity in monitoring, modeling and various estimations of agricultural systems. Indices are used as a common means of evaluating agricultural monitoring data from remote sensing and terrestrial observation systems, and many of these indices have linear characteristics. The analysis of and relationships between indices are dependent on the type of plant, but they are also highly variable with respect to its phenologicat stage. For this reason, variations in the phenologica! stage affect the performance of spatiotemporal crop status monitoring. We hereby propose an adaptive event-triggered model for monitoring crop status based on remote sensing data and terrestrial observations. In the proposed model, the estimation of phenological stage is a part of predicting crop status, and spatially distributed remote sensing parameters and temporal terrestrial monitoring data are used together as inputs in a state space system model. The temporal data are segmented with respect to the phenological stage-oriented timing of the spatial data, so instead of a generalized discrete state space model, we used logical states combined with analog inputs and adaptive trigger functions, as in the case of a Mealy machine model. This provides the necessary nonlinearity for the state transi- tions. The results showed that observation parameters have considerably greater significance in crop status monitoring with respect to conventional agricultural data fusion techniques.

关键词： plant phenology monitoring yield prediction finite automata Mealy machine remote sensing

Theoretical research on construction quality real-time monitoring and system integration of core rockfill dam

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Science China(Technological Sciences) 2009年第11期52卷 3406-3412页

作者： ZHONG DengHua CUI Bo LIU DongHai TONG DaWei Department of Hydraulic and Hydroelectric Engineering School of Civil EngineeringTianjin UniversityTianjin 300072China

With the enlargement of core rockfill dam construction scale and the improvement of construction mechanization level, the traditional manual construction quality control method is now difficult to meet the quality and safety demands of modern dam construction, so automatic and real-time dam construction quality monitoring with high-techs is urgently needed. The paper makes theoretical research on construction quality real-time monitoring and system integration of core rockfill dam, proposes implementation method and integrated solution of construction quality real-time monitoring of core rockfill dam construction process, realizes refining, all-whether, entire-process and real-time control and analysis on key links of dam construction, and introduces the application of the construction quality real-time monitoring and system integration technology to a practical core rockfill dam project.

关键词： core rockfill dam construction quality real-time monitoring system integration

Current Model Analysis of South China Sea Based on Empirical Orthogonal Function(EOF) Decomposition and Prototype monitoring Data

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Journal of Ocean University of China 2019年第2期18卷 305-316页

作者： WU Wenhua LIU Ming YU Siyuan WANG Yanlin Department of Engineering Mechanics Faculty of Vehicle and Mechanics Dalian University of Technology State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology School of Ocean Science and Technology Dalian University of Technology

Environmental load is the primary factor in the design of offshore engineering structures and ocean current is the principal environmental load that causes underwater structural failure. In computational analysis, the calculation of current load is mainly based on the current profile. The current profile model, which is based on a structural failure criterion, is conducive to decreasing the uncertainty of the current load. In this study, we used prototype monitoring data and the empirical orthogonal function(EOF) method to investigate the current profile in the South China Sea and its correlation with the design of underwater structural strength and the dynamic design of fatigue. The underwater structural strength design takes into account the size of the structure and the service water depth. We propose profiles for the overall and local designs using the inverse first-order reliability method(IFORM). We extracted the characteristic profile current(CPC) of the monitored sea area to solve dynamic design problems such as vortex-induced vibration(VIV). We used random sampling to verify the feasibility of using the EOF method to calculate the CPC from the current data and identified the main problems associated with using the CPC, which deserve close attention in VIV design. Our research conclusions provide direct references for determining current load in this sea area. This analysis method can also be used in the analysis of other sea areas or field variables.

关键词： current profile model failure criteria prototype monitoring inverse first-order reliability method(IFORM) Characteristic profile current(CPC)

Multivariate analysis in dam monitoring data with PCA

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Science China(Technological Sciences) 2010年第4期53卷 1088-1097页

作者： YU Hong1,2,WU ZhongRu1,2,BAO TengFei1,2 & ZHANG Lan1,2 1 State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China 2 National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety,Hohai University,Nanjing 210098,China 1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Nanjing 210098 China2. National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety Hohai University Nanjing 210098 China

Given the limitation of traditional univariate analysis method in processing the multicollinearity of dam monitoring data,this paper reconstructs the multivariate response variables by introducing principal component analysis(PCA) method,explores the ways of determining principal components(PCs),and extracts a few PCs that have major influence on data *** steady observation series,a control field for the whole observation values has been established based upon PCA;for unsteady observation series that have significant tendency,a control field for the future observation values has been constructed according to PC statistical predication *** methods have already been applied to an actual project and the results showed that data interpretation method with PCA can not only realize data reduction,lower data redundancy,and reduce noise and false alarm rate,but also be effective to data analysis,having a broad application prospect.

关键词： dam safety monitoring multivariate response variables principal component analysis data reduction