Academic literature on the topic 'Health Management (PHM)'

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Journal articles on the topic "Health Management (PHM)"

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Steenkamer, Betty, Esther de Weger, Hanneke Drewes, Kim Putters, Hans Van Oers, and Caroline Baan. "Implementing population health management: an international comparative study." Journal of Health Organization and Management 34, no. 3 (April 6, 2020): 273–94. http://dx.doi.org/10.1108/jhom-06-2019-0189.

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PurposeThe purpose of this paper is to gain insight into how population health management (PHM) strategies can successfully integrate and reorganize public health, health care, social care and community services to improve population health and quality of care while reducing costs growth, this study compared four large-scale transformation programs: Greater Manchester Devolution, Vancouver Healthy City Strategy, Gen-H Cincinnati and Gesundes Kinzigtal.Design/methodology/approachFollowing the realist methodology, this explorative comparative case-study investigated PHM initiatives' key features and participants' experiences of developing such initiatives. A semi-structured interview guideline based on a theoretical framework for PHM guided the interviews with stakeholders (20) from different sectors.FindingsFive initial program theories important to the development of PHM were formulated: (1) create trust in a shared vision and understanding of the PHM rationale to establish stakeholders' commitment to the partnership; (2) create shared ownership for achieving the initiative's goals; (3) create shared financial interest that reduces perceived financial risks to provide financial sustainability; (4) create a learning environment to secure initiative's credibility and (5) create citizens' and professionals' awareness of the required attitudes and behaviours.Originality/valueThe study highlights initial program theories for the implementation of PHM including different strategies and structures underpinning the initiatives. These insights provide a deeper understanding of how large-scale transformation could be developed.
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Lyu, Yongle, Zhuo Pang, Chuang Zhou, and Peng Zhao. "Prognostics and health management technology for radar system." MATEC Web of Conferences 309 (2020): 04009. http://dx.doi.org/10.1051/matecconf/202030904009.

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Information-based war in the future has a higher requirement to the maintenance and support ability of radar system. Prognostics and Health Management(PHM) technology represents the research hotspot of maintenance system, and following key techniques need to be resolved to research on the radar PHM technology such as the acquirement and selection of health information and fault signs of a radar’s electronical components, mass data warehousing and mining, fusion of multi-source test data and multi-field characteristic information, failure model building and forecasting, automatic decision-making on maintenance, and at the same time improving the self built-in test abilities of radar’s components based on the optimization of Design For Testability(DFT). The radar PHM technology has the trend of “built-in to integrate”, “together with DFT” and “long-distance and distributed”. However, subjected to radar’s complexity and current PHM technique level, radar PHM engineering still meets many challenges, but has bright future.
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Wu, Ji. "Research on Prognostic and Health Management of Inertial Navigation System." Journal of Physics: Conference Series 2252, no. 1 (April 1, 2022): 012075. http://dx.doi.org/10.1088/1742-6596/2252/1/012075.

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Abstract Prognostic and health management (PHM) system significantly reduces costs of maintenance, utilization, and assurance, and improves safety and availability of aircraft. By drawing on and absorbing foreign advanced experience, this paper deeply studies the key technology of PHM, and combines the specific features of the inertial navigation system to determine the program flow of the PHM system. This paper is described PHM technical related elements, which can be reformed the design of Inertial Navigation System and can push the development of the condition-based maintenance and PHM system.
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Wu, Ji. "Research on Prognostic and Health Management of Inertial Navigation System." Journal of Physics: Conference Series 2252, no. 1 (April 1, 2022): 012075. http://dx.doi.org/10.1088/1742-6596/2252/1/012075.

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Abstract Prognostic and health management (PHM) system significantly reduces costs of maintenance, utilization, and assurance, and improves safety and availability of aircraft. By drawing on and absorbing foreign advanced experience, this paper deeply studies the key technology of PHM, and combines the specific features of the inertial navigation system to determine the program flow of the PHM system. This paper is described PHM technical related elements, which can be reformed the design of Inertial Navigation System and can push the development of the condition-based maintenance and PHM system.
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Tsui, Kwok L., Nan Chen, Qiang Zhou, Yizhen Hai, and Wenbin Wang. "Prognostics and Health Management: A Review on Data Driven Approaches." Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/793161.

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Prognostics and health management (PHM) is a framework that offers comprehensive yet individualized solutions for managing system health. In recent years, PHM has emerged as an essential approach for achieving competitive advantages in the global market by improving reliability, maintainability, safety, and affordability. Concepts and components in PHM have been developed separately in many areas such as mechanical engineering, electrical engineering, and statistical science, under varied names. In this paper, we provide a concise review of mainstream methods in major aspects of the PHM framework, including the updated research from both statistical science and engineering, with a focus on data-driven approaches. Real world examples have been provided to illustrate the implementation of PHM in practice.
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Moumtzoglou, Anastasius, and Abraham Pouliakis. "Mapping Population Health Management Roadmap into Cervical Cancer Screening Programs." International Journal of Reliable and Quality E-Healthcare 4, no. 3 (July 2015): 1–18. http://dx.doi.org/10.4018/ijrqeh.2015070101.

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Population Health Management (PHM) aims to provide better health outcomes for preventing diseases, closing care gaps and providing more personalized care. Since the inception of the Pap test, cervical cancer (CxCa) decreased in countries applying cervical cancer programs, involving both prevention and treatment. In this article, the authors map the PHM roadmap to the design of cervical cancer screening programs and examine the effect on the supporting information technology systems. Notwithstanding screening programs have a tight relation to PHM; the mapping reveals numerous interventions involving additional data sources, and timeless reconfiguration.
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Long, Jiang, and Wei An Jiang. "Maintenance for Improving Manufacturing Equipments Availability Using Prognostics and Health Management." Advanced Materials Research 199-200 (February 2011): 543–47. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.543.

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There is a growing need for improving manufacturing equipments availability to achieve high levels of productivity. As a key complement to CBM and RCM, PHM is becoming a key enabler for achieving cost effective ultra-reliability and availability in tomorrow’s manufacturing equipments at an affordable cost. Based on traditional maintenance strategies, key issues pertaining to PHM application to manufacturing equipments, including health monitoring, diagnostics and prognostics, are discussed in this paper. As an example, a method for dynamic MFOP based maintenance strategy optimization using PHM and RUL estimation is presented.
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Sadegh Kouhestani, Hamed, Xiaoping Yi, Guoqing Qi, Xunliang Liu, Ruimin Wang, Yang Gao, Xiao Yu, and Lin Liu. "Prognosis and Health Management (PHM) of Solid-State Batteries: Perspectives, Challenges, and Opportunities." Energies 15, no. 18 (September 9, 2022): 6599. http://dx.doi.org/10.3390/en15186599.

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Solid-state batteries (SSBs) have proven to have the potential to be a proper substitute for conventional lithium-ion batteries due to their promising features. In order for the SSBs to be market-ready, the prognostics and health management (PHM) of battery systems plays a critical role in achieving such a goal. PHM ensures the reliability and availability of batteries during their operational time with acceptable safety margin. In the past two decades, much of the focus has been directed towards the PHM of lithium-ion batteries, while little attention has been given to PHM of solid-state batteries. Hence, this report presents a holistic review of the recent advances and current trends in PHM techniques of solid-state batteries and the associated challenges. For this purpose, notable commonly employed physics-based, data-driven, and hybrid methods are discussed in this report. The goal of this study is to bridge the gap between liquid state and SSBs and present the crucial aspects of SSBs that should be considered in order to have an accurate PHM model. The primary focus is given to the ML-based data-driven methods and the requirements that are needed to be included in the models, including anode, cathode, and electrolyte materials.
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Bradshaw, Richard L., Kensaku Kawamoto, Kimberly A. Kaphingst, Wendy K. Kohlmann, Rachel Hess, Michael C. Flynn, Claude J. Nanjo, et al. "GARDE: a standards-based clinical decision support platform for identifying population health management cohorts." Journal of the American Medical Informatics Association 29, no. 5 (February 28, 2022): 928–36. http://dx.doi.org/10.1093/jamia/ocac028.

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Abstract Population health management (PHM) is an important approach to promote wellness and deliver health care to targeted individuals who meet criteria for preventive measures or treatment. A critical component for any PHM program is a data analytics platform that can target those eligible individuals. Objective The aim of this study was to design and implement a scalable standards-based clinical decision support (CDS) approach to identify patient cohorts for PHM and maximize opportunities for multi-site dissemination. Materials and Methods An architecture was established to support bidirectional data exchanges between heterogeneous electronic health record (EHR) data sources, PHM systems, and CDS components. HL7 Fast Healthcare Interoperability Resources and CDS Hooks were used to facilitate interoperability and dissemination. The approach was validated by deploying the platform at multiple sites to identify patients who meet the criteria for genetic evaluation of familial cancer. Results The Genetic Cancer Risk Detector (GARDE) platform was created and is comprised of four components: (1) an open-source CDS Hooks server for computing patient eligibility for PHM cohorts, (2) an open-source Population Coordinator that processes GARDE requests and communicates results to a PHM system, (3) an EHR Patient Data Repository, and (4) EHR PHM Tools to manage patients and perform outreach functions. Site-specific deployments were performed on onsite virtual machines and cloud-based Amazon Web Services. Discussion GARDE’s component architecture establishes generalizable standards-based methods for computing PHM cohorts. Replicating deployments using one of the established deployment methods requires minimal local customization. Most of the deployment effort was related to obtaining site-specific information technology governance approvals.
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Shao, Xin Jie, Li Jun Cao, Jin Hua Liu, Qiao Ma, Guang Tian, and Hui Bin Hu. "Research on Prognostics and Health Management System for Self-Propelled Gun." Advanced Materials Research 591-593 (November 2012): 1938–41. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1938.

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Considering the encapsulation, tremendous working stress, complicated fault mechanism and process, an object-oriented architecture Prognostics and Health Management (PHM) system of Self-Propelled Gun is put forward to solve the difficulties in modern equipments’ maintenance decision and safeguard. The relative key techniques, such as fault characteristics extraction, system identification, data fusion among sensors, adaptive fault thresholds setting, intelligent fault inference mechanism and fault prediction mechanism are discussed in detail. Above functional modules compose the PHM system. Their mutual relationships and data flow are shown as architecture graph, which is the basis of PHM system establishment. Simulation verification experiments indicate that the proposed architecture can satisfy the requirements of standardization, hierarchy and evolvement, as well as reducing the maintenance cost and difficulties.
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Dissertations / Theses on the topic "Health Management (PHM)"

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Wang, Xiaoyang. "Aircraft fuel system prognostics and health management." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7214.

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This thesis contains the specific description of Group Design Project (GDP) and Individual Research Project (IRP) that are undertaken by the author and form part of the degree of Master of Science. The target of GDP is to develop a novel and unique commercial flying wing aircraft titled FW-11. FW-11 is a three-year collaborative civil aircraft project between Aviation Industry Corporation of China (AVIC) and Cranfield University. According to the market analysis result conducted by the author, 250 seats capacity and 7500 nautical miles were chosen as the design targets. The IRP is the further study of GDP, which is to enhance the competitive capability by deploying prognostics and health management (PHM) technology to the fuel system of FW-11. As a novel and brand-new technology, PHM enables the real-time transformation of system status data into alert and maintenance information during all ground or flight operating phases to improve the aircraft reliability and operating costs. Aircraft fuel system has a great impact on flight safety. Therefore, the development of fuel system PHM concept is necessary. This thesis began with an investigation of PHM, then a safety and reliability analysis of fuel system was conducted by using FHA, FMEA and FTA. According to these analyses, fuel temperature diagnosis and prognosis were chosen as a case study to improve the reliability and safety of FW-11. The PHM architecture of fuel temperature had been established. A fuel temperature prediction model was also introduced in this thesis.
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Demus, Justin Cole. "Prognostic Health Management Systems for More Electric Aircraft Applications." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1631047006902809.

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Bagheri, Behrad. "Decentralized Federated Autonomous Organizations for Prognostics and Health Management." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592133991337126.

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Lamoureux, Benjamin. "Development of an Integrated Approach for PHM - Prognostics and Health Management : Application to a Turbofan Fuel System." Thesis, Paris, ENSAM, 2014. http://www.theses.fr/2014ENAM0018/document.

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Pour les constructeurs de moteurs d'avions comme Snecma, la disponibilité est un des enjeux clés de l'avenir. En effet, la limitation des retards et annulations de vols ainsi que la réduction de la fréquence et de la durée des opérations de maintenance pourraient entraîner des économies importantes. Pour accroître la disponibilité, l'outil le plus utilisé actuellement est le "prognostics and health management" (PHM). La première contribution de la thèse est de proposer des cadres terminologique et fonctionnel pour le développement du PHM adapté aux spécificités des moteurs d'avions. Par la suite, une approche intégrée basée sur le nouveau modèle en V3 est formalisée. La seconde contribution est un processus basé sur les modèles pour le développement de la partie embarquée chargée de l'extraction des indicateurs de santé. Elle est basée sur l'analyse de sensibilité, la régression par vecteurs supports et des nouveaux indicateurs de performances. Puisque ce processus est réalisé avant l'entrée en service, les données stochastiques sont obtenues par propagation d'incertitudes. Pour surmonter les temps de calcul liés aux évaluations du modèle, des métamodèles sont utilisés. Plus particulièrement, la troisième contribution de la thèse est une technique originale combinant régression par vecteurs supports et Krigeage. L'approche globale est finalement testée sur le système carburant d'un moteur d'avion. Les résultats sont prometteurs, tant au niveau industriel pour les précieuses informations qu'elle fournit sur la qualité du jeu d'indicateurs de santé qu'au niveau académique pour la précision apportée par la nouvelle approche du Krigeage-SVR
For manufacturers of aircraft engines such as Snecma, the increase of systems availability is one of the key challenges of the future. Indeed, the limitation of delays and cancellations and the reduction of maintenance operations frequency and duration could lead to important costs savings. To improve availability, the most proven tool is currently prognostics and health management (PHM). The first contribution of this thesis work is to propose complete terminological and functional frameworks for the development of PHM adapted to the specific application on aircraft engines. Subsequently, an integrated development approach based on the original V3-model is formalized. The second contribution is an original model-based process for the development of the embedded extraction of health indicators, based on sensitivity analysis, support vector regression and original performance indicators for the validation. Since it is aimed at being performed before the entry into service, the stochastic data are issued from Monte-Carlo based uncertainties propagation. In order to overcome the prohibitive computation time of the model evaluations, surrogate models are used. More particularly, the third contribution of this thesis work is an original technique combining support vector regression with Kriging. The whole approach is finally tested on an aircraft engine fuel system. The results are promising, both at the industrial level with the release of valuable information about the quality of the health indicators set and at the academic level with the proven accuracy of the novel SVR-Kriging approach
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Feng, Jianshe. "Methodology of Adaptive Prognostics and Health Management in Dynamic Work Environment." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1593267012325542.

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Shi, Zhe. "Semi-supervised Ensemble Learning Methods for Enhanced Prognostics and Health Management." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522420632837268.

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Brown, Douglas W. "A prognostic health management based framework for fault-tolerant control." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41132.

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The emergence of complex and autonomous systems, such as modern aircraft, unmanned aerial vehicles (UAVs) and automated industrial processes is driving the development and implementation of new control technologies aimed at accommodating incipient failures to maintain system operation during an emergency. The motivation for this research began in the area of avionics and flight control systems for the purpose to improve aircraft safety. A prognostics health management (PHM) based fault-tolerant control architecture can increase safety and reliability by detecting and accommodating impending failures thereby minimizing the occurrence of unexpected, costly and possibly life-threatening mission failures; reduce unnecessary maintenance actions; and extend system availability / reliability. Recent developments in failure prognosis and fault tolerant control (FTC) provide a basis for a prognosis based reconfigurable control framework. Key work in this area considers: (1) long-term lifetime predictions as a design constraint using optimal control; (2) the use of model predictive control to retrofit existing controllers with real-time fault detection and diagnosis routines; (3) hybrid hierarchical approaches to FTC taking advantage of control reconfiguration at multiple levels, or layers, enabling the possibility of set-point reconfiguration, system restructuring and path / mission re-planning. Combining these control elements in a hierarchical structure allows for the development of a comprehensive framework for prognosis based FTC. First, the PHM-based reconfigurable controls framework presented in this thesis is given as one approach to a much larger hierarchical control scheme. This begins with a brief overview of a much broader three-tier hierarchical control architecture defined as having three layers: supervisory, intermediate, and low-level. The supervisory layer manages high-level objectives. The intermediate layer redistributes component loads among multiple sub-systems. The low-level layer reconfigures the set-points used by the local production controller thereby trading-off system performance for an increase in remaining useful life (RUL). Next, a low-level reconfigurable controller is defined as a time-varying multi-objective criterion function and appropriate constraints to determine optimal set-point reconfiguration. A set of necessary conditions are established to ensure the stability and boundedness of the composite system. In addition, the error bounds corresponding to long-term state-space prediction are examined. From these error bounds, the point estimate and corresponding uncertainty boundaries for the RUL estimate can be obtained. Also, the computational efficiency of the controller is examined by using the number of average floating point operations per iteration as a standard metric of comparison. Finally, results are obtained for an avionics grade triplex-redundant electro-mechanical actuator with a specific fault mode; insulation breakdown between winding turns in a brushless DC motor is used as a test case for the fault-mode. A prognostic model is developed relating motor operating conditions to RUL. Standard metrics for determining the feasibility of RUL reconfiguration are defined and used to study the performance of the reconfigured system; more specifically, the effects of the prediction horizon, model uncertainty, operating conditions and load disturbance on the RUL during reconfiguration are simulated using MATLAB and Simulink. Contributions of this work include defining a control architecture, proving stability and boundedness, deriving the control algorithm and demonstrating feasibility with an example.
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Liu, Zongchang. "Cyber-Physical System Augmented Prognostics and Health Management for Fleet-Based Systems." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522321192371536.

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Abbas, Manzar. "System-level health assessment of complex engineered processes." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37260.

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Condition-Based Maintenance (CBM) and Prognostics and Health Management (PHM) technologies aim at improving the availability, reliability, maintainability, and safety of systems through the development of fault diagnostic and failure prognostic algorithms. In complex engineering systems, such as aircraft, power plants, etc., the prognostic activities have been limited to the component-level, primarily due to the complexity of large-scale engineering systems. However, the output of these prognostic algorithms can be practically useful for the system managers, operators, or maintenance personnel, only if it helps them in making decisions, which are based on system-level parameters. Therefore, there is an emerging need to build health assessment methodologies at the system-level. This research employs techniques from the field of design-of-experiments to build response surface metamodels at the system-level that are built on the foundations provided by component-level damage models.
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Consumi, Michele. "Tecniche di manutenzione predittiva: sviluppo di un processo stocastico per la modellazione della degradazione di componenti meccanici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Questo progetto di tesi si pone l’obiettivo di analizzare lo stato dell’arte in tema manutenzione predittiva e indagare a fondo, per poi applicare, uno degli approcci stocastici più utilizzati in questo campo: il processo di Wiener. Il progetto ha avuto inizio con la ricerca e lo studio dei più recenti e noti articoli scientifici in tema Prognostics and Health Management. Dopo la comprensione dello stato dell’arte, si è scelto di concentrarsi sullo studio dei modelli stocastici per lo studio dei processi di degradazione dei componenti meccanici. In particolare, l’analisi si è concentrata sullo studio delle varie formulazioni del processo di Wiener, uno dei principali metodi stocastici in ambito prognostico. Il modello matematico è stato, quindi, implementato sul software di calcolo Matlab al fine di verificarne il funzionamento e l’efficacia. La fase di test ha previsto inizialmente lo sfruttamento di dati simulati e successivamente l’utilizzo di dati di degradazione reali estratti da un prototipo meccanico dell’Università di Bologna. I risultati ottenuti dimostrano come il modello stocastico scelto sia un ottimo strumento per la descrizione del percorso di degradazione e guasto del componente meccanico analizzato. La corretta modellizzazione del processo di degradazione è il punto di partenza fondamentale per l’applicazione dei modelli prognostici per la stima della vita utile residua dei componenti (RUL). La tesi propone, infine, una propria proposta di modifica al modello base di Wiener in modo da poterne applicare l'applicabilità considerando anche le lavorazioni che implicano condizioni operative variabili.
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Books on the topic "Health Management (PHM)"

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Ainsworth, Richard. Report of management development: SER PHC project, 1984-1988. [Monrovia, Liberia]: The Medex Group, University of Liberia, 1988.

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United States. Public Health Service. Division of Health Facilities Planning, ed. Quarters management handbook: Appendix to PHS facilities manual (volume II). [Rockville, Md.?]: Dept. of Health & Human Services, Public Health Service, Division of Health Facilities Planning, 1991.

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Moeljono, Soerjadi Djoko. Efforts to strengthen management in Sidoarjo District Health Service in accordance with the implementation of PHC. [Surabaya]: Ministry of Health, Republic of Indonesia, Provincial Health Office, East Java Province, 1991.

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Physician integration & alignment: IPA, PHO, ACOS and beyond. Boca Raton: Taylor & Francis, 2013.

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Fiji) National Workshops on Integrating Mental Health into the PHC in Fiji (1999 Suva. Management of mental disorders and promotion of mental health in primary health care settings in Fiji: Proceedings of National Workshop on Integrating Mental into the PHC in Fiji in 1999. Fiji: Mgt. of Mental Disorders, 1999.

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New Jersey. Legislature. Senate. State Government Committee. Public hearing before Senate State Government Committee: Senate Concurrent Resolution No. 134 : proposes constitutional amendment to clarify provision denying right of suffrage to certain persons lacking capacity to understand the act of voting : Committee Room 7, State House Annex, Trenton, New Jersey, February 8, 2007, 1:00 p.m. Trenton, N.J: Office of Legislative Services, Public Information Office, Hearing Unit, 2007.

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Staff, IEEE. 2022 Prognostics and Health Management Conference (PHM 2022 London). IEEE, 2022.

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Staff, IEEE. 2021 Global Reliability and Prognostics and Health Management (PHM Nanjing). IEEE, 2021.

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2022 Global Reliability and Prognostics and Health Management (PHM Yantai). IEEE, 2022.

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Staff, IEEE. 2021 Global Reliability and Prognostics and Health Management (PHM Nanjing). IEEE, 2021.

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Book chapters on the topic "Health Management (PHM)"

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Pecht, Michael G., and Myeongsu Kang. "Introduction to PHM." In Prognostics and Health Management of Electronics, 1–37. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch1.

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Capelli-Schellpfeffer, Mary, Myeongsu Kang, and Michael G. Pecht. "PHM in Healthcare." In Prognostics and Health Management of Electronics, 431–49. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch15.

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Flynn, David, Christopher Bailey, Pushpa Rajaguru, Wenshuo Tang, and Chunyan Yin. "PHM of Subsea Cables." In Prognostics and Health Management of Electronics, 451–78. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch16.

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Jameson, Noel Jordan, Myeongsu Kang, and Jing Tian. "PHM Software for Electronics." In Prognostics and Health Management of Electronics, 535–57. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch19.

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Oh, Hyunseok, Michael H. Azarian, Shunfeng Cheng, and Michael G. Pecht. "Sensor Systems for PHM." In Prognostics and Health Management of Electronics, 39–60. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch2.

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Chauhan, Preeti S. "PHM-Based Qualification of Electronics." In Prognostics and Health Management of Electronics, 329–48. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch12.

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Saxena, Saurabh, Yinjiao Xing, and Michael G. Pecht. "PHM of Li-ion Batteries." In Prognostics and Health Management of Electronics, 349–75. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch13.

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Chang, Moon-Hwan, Jiajie Fan, Cheng Qian, and Bo Sun. "PHM of Light-Emitting Diodes." In Prognostics and Health Management of Electronics, 377–430. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch14.

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Liu, Zhenbao, Zhen Jia, Chi-Man Vong, Shuhui Bu, and Michael G. Pecht. "Analysis of PHM Patents for Electronics." In Prognostics and Health Management of Electronics, 613–47. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch22.

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Cheng, Shunfeng, Nagarajan Raghavan, Jie Gu, Sony Mathew, and Michael G. Pecht. "Physics-of-Failure Approach to PHM." In Prognostics and Health Management of Electronics, 61–84. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch3.

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Conference papers on the topic "Health Management (PHM)"

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"Session 2.4 — PHM software and software PHM." In 2012 Prognostics and System Health Management Conference (PHM). IEEE, 2012. http://dx.doi.org/10.1109/phm.2012.6228823.

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"PHM for transportation." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079107.

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"PHM for bearing." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079178.

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"Testability for PHM." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079171.

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"Advanced PHM methods." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079201.

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"PHM for aerospace." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079143.

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"PHM for aviation." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079157.

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Barton, Paul H., and Robert Ogden. "Stirling cryocooler prognostics and health management (PHM)." In 2009 IEEE AUTOTESTCON. IEEE, 2009. http://dx.doi.org/10.1109/autest.2009.5314024.

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Dupont, Audrey, and Jean-Remi Masse. "PHM functions maturation." In 2016 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE, 2016. http://dx.doi.org/10.1109/icphm.2016.7542848.

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"Deep learning in PHM." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079164.

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Reports on the topic "Health Management (PHM)"

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Swiler, Laura Painton, James E. Campbell, Adele Beatrice Doser, and Kelly S. Lowder. Algorithm development for Prognostics and Health Management (PHM). Office of Scientific and Technical Information (OSTI), October 2003. http://dx.doi.org/10.2172/918353.

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Vogl, Gregory W., Brian A. Weiss, and M. Alkan Donmez. Standards Related to Prognostics and Health Management (PHM) for Manufacturing. National Institute of Standards and Technology, June 2014. http://dx.doi.org/10.6028/nist.ir.8012.

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Reichard, Karl, and Carl Byington. Proceedings of the Annual Conference of the Prognostics and Health Management Society (PHM 2014) Held in Fort Worth, TX on September 29 - October 2, 2014. Invited Session on Corrosion Monitoring, Sensing, Detection and Prediction. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada620390.

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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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Jigjidsuren, Altantuya, Bayar Oyun, and Najibullah Habib. Supporting Primary Health Care in Mongolia: Experiences, Lessons Learned, and Future Directions. Asian Development Bank, January 2021. http://dx.doi.org/10.22617/wps210020-2.

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ince the early 1990s, the Asian Development Bank (ADB) has broadly supported health sector reforms in Mongolia. This paper describes primary health care (PHC) in Mongolia and ADB support in its reform. It highlights results achieved and the lessons drawn that could be useful for future programs in Mongolia and other countries. PHC reform in Mongolia aimed at facilitating a shift from hospital-based curative services toward preventive approaches. It included introducing new management models based on public–private partnerships, increasing the range of services, applying more effective financing methods, building human resources, and creating better infrastructure. The paper outlines remaining challenges and future directions for ADB support to PHC reform in the country.
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Khan, Mahreen. Public Financial Management and Transitioning out of Aid. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/k4d.2022.145.

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This rapid review found an absence of literature focused specifically on measuring the impact of PFM and governance systems in countries that have transitioned from aid, by moving up the income ladder. However, there are a few academic publications and a limited number of studies by multilateral, such as the World Bank, that examine the role of PFM and governance systems in countries that are transitioning or have moved away from aid. However, the importance of public financial management (PFM) and governance systems in development is well established and seen as a pre-requisite for economic growth. To effectively transition from aid, most low-income countries (LICs) need to upgrade their PFM and governance systems to meet the different scale, resources, accountability mechanisms, and capacity-building requirements of a middle-income country (MIC). The absence of the above empirical evidence may be due to the complexity of measuring the impact of PFM reforms as the results are non-linear, difficult to isolate from other policies to establish causality, and manifest in a longer time frame. However, through comparative country studies, the consequences of deficient PFM and governance have been well documented. So impaired budgetary planning, implementation, and reporting, limited fiscal transparency, weak accountability mechanisms, resource leakage, and inefficient service delivery are well recognised as detrimental to economic growth and development. The literature on transitioning countries focuses predominantly on the impact of aid withdrawal on the social sector, where comparative qualitative data is easier to obtain and the effects are usually more immediate, visible, and may even extend to global health outcomes, such as in AIDS prevention programmes. Thus, tracking the progress of donor-assisted social sector programmes is relatively easier than for PFM and governance reforms. The literature is more abundant on the overall lessons of transitions from aid both for country governments and donors. The key lessons underscore the importance of PFM and governance systems and mechanisms to a successful transition up the income ladder: Planning for transition should be strategic, detailed and specifically geared to mitigate against risks, explicitly assessing the best mix of finance options to mitigate the impact of aid reduction/withdrawal on national budgets. The plan must be led by a working group or ministry and have timelines and milestones; Where PFM and governance is weak transition preparation should include strengthening PFM especially economic and fiscal legislation, administration, and implementation; Stakeholders such as donor partners (DPs) and NGOs should participate in the planning process with clear, open, and ongoing communication channels; Political and economic assessments in the planning and mid-term phases as well as long-term monitoring and evaluation should be instituted; Build financial, technical, and management capacity throughout the plan implementation This helpdesk report draws on academic, policy, and grey sources from the previous seven years rather than the usual K4D five-year window, to account for the two-year disruption of COVID-19. As cross-country studies on PFM and governance are scarce, a few older studies are also referenced to ensure a comprehensive response to the query. The report focuses on low-income countries transitioning from aid due to a change in status to lower-middle-income countries.
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Runjic, Frane, Andrija Matetic, Matjaz Bunc, Nikola Crncevic, and Ivica Kristic. Small Degenerated Surgical Bioprosthetic Valve should be Treated with SupraAnnular Valve-in-Valve Transcatheter Aortic Valve Replacement. Science Repository, December 2021. http://dx.doi.org/10.31487/j.jicoa.2021.04.02.

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Background: Patient-prothesis mismatch (PPM) is a serious potential complication following surgical aortic valve replacement (SAVR). If it develops, valve-in-valve transcatheter aortic valve replacement (TAVR) is a reasonable therapeutic option. However, there is low evidence on the management of small degenerated surgical bioprosthetic valves, not prone to balloon-valve fracture (BVF). Case Presentation: This case report presents a successful valve-in-valve TAVR in acute heart failure due to degenerative surgical bioprosthetic valve Trifecta (21 mm) that is not susceptible to BVF. Standard preparation for transfemoral TAVR with a self-expandable valve was conducted, including the over-the-wire pacing. Thereafter, a successful valve-in-valve primary implantation of the self-expanding, supra-annular valve Evolut R 26 (Medtronic™) has been achieved. Follow-up at 3 months showed mild paravalvular leak in the region with clinical and heart function improvements of the patient. Follow-up echocardiographic parameters showed the reduction of anterograde flow impairment and improved effective orifice area (~0.85 cm2/m2). Conclusion: In conclusion, supra-annular valve-in-valve TAVR is a potential therapeutic option for PPM of small degenerated surgical bioprosthetic valves which are not prone to BVF.
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Toloo, Sam, Ruvini Hettiarachchi, David Lim, and Katie Wilson. Reducing Emergency Department demand through expanded primary healthcare practice: Full report of the research and findings. Queensland University of Technology, January 2022. http://dx.doi.org/10.5204/rep.eprints.227473.

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Demand for public hospital emergency departments’ services and care is increasing, placing considerable restraint on their performance and threatens patient safety. Many factors influence such demand including individual characteristics (e.g. perceptions, knowledge, values and norms), healthcare availability, affordability and accessibility, population aging, and internal health system factors (e.g patient flow, discharge process). To alleviate demand, many initiatives have been trialled or suggested, including early identification of at-risk patients, better management of chronic disease to reduce avoidable ED presentation, expanded capacity of front-line clinician to manage sub-acute and non-urgent care, improved hospital flow to reduce access block, and diversion to alternate site for care. However, none have had any major or sustained impact on the growth in ED demand. A major focus of the public discourse on ED demand has been the use and integration of primary healthcare and ED, based on the assumption that between 10%–25% of ED presentations are potentially avoidable if patients’ access to appropriate primary healthcare (PHC) services were enhanced. However, this requires not only improved access but also appropriateness in terms of the patients’ preference and PHC providers’ capacity to address the needs. What is not known at the moment is the extent of the potential for diversion of non-urgent ED patients to PHC and the cost-benefits of such policy and funding changes required, particularly in the Australian context. There is a need to better understand ED patients’ needs and capacity constraint so as to effect delivery of accessible, affordable, efficient and responsive services. Jennie Money Doug Morel
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Bowles, David, Michael Williams, Hope Dodd, Lloyd Morrison, Janice Hinsey, Tyler Cribbs, Gareth Rowell, Michael DeBacker, Jennifer Haack-Gaynor, and Jeffrey Williams. Protocol for monitoring aquatic invertebrates of small streams in the Heartland Inventory & Monitoring Network: Version 2.1. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2284622.

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The Heartland Inventory and Monitoring Network (HTLN) is a component of the National Park Service’s (NPS) strategy to improve park management through greater reliance on scientific information. The purposes of this program are to design and implement long-term ecological monitoring and provide information for park managers to evaluate the integrity of park ecosystems and better understand ecosystem processes. Concerns over declining surface water quality have led to the development of various monitoring approaches to assess stream water quality. Freshwater streams in network parks are threatened by numerous stressors, most of which originate outside park boundaries. Stream condition and ecosystem health are dependent on processes occurring in the entire watershed as well as riparian and floodplain areas; therefore, they cannot be manipulated independently of this interrelationship. Land use activities—such as timber management, landfills, grazing, confined animal feeding operations, urbanization, stream channelization, removal of riparian vegetation and gravel, and mineral and metals mining—threaten stream quality. Accordingly, the framework for this aquatic monitoring is directed towards maintaining the ecological integrity of the streams in those parks. Invertebrates are an important tool for understanding and detecting changes in ecosystem integrity, and they can be used to reflect cumulative impacts that cannot otherwise be detected through traditional water quality monitoring. The broad diversity of invertebrate species occurring in aquatic systems similarly demonstrates a broad range of responses to different environmental stressors. Benthic invertebrates are sensitive to the wide variety of impacts that influence Ozark streams. Benthic invertebrate community structure can be quantified to reflect stream integrity in several ways, including the absence of pollution sensitive taxa, dominance by a particular taxon combined with low overall taxa richness, or appreciable shifts in community composition relative to reference condition. Furthermore, changes in the diversity and community structure of benthic invertebrates are relatively simple to communicate to resource managers and the public. To assess the natural and anthropo-genic processes influencing invertebrate communities, this protocol has been designed to incorporate the spatial relationship of benthic invertebrates with their local habitat including substrate size and embeddedness, and water quality parameters (temperature, dissolved oxygen, pH, specific conductance, and turbidity). Rigid quality control and quality assurance are used to ensure maximum data integrity. Detailed standard operating procedures (SOPs) and supporting information are associated with this protocol.
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Droby, Samir, Michael Wisniewski, Ron Porat, and Dumitru Macarisin. Role of Reactive Oxygen Species (ROS) in Tritrophic Interactions in Postharvest Biocontrol Systems. United States Department of Agriculture, December 2012. http://dx.doi.org/10.32747/2012.7594390.bard.

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To elucidate the role of ROS in the tri-trophic interactions in postharvest biocontrol systems a detailed molecular and biochemical investigation was undertaken. The application of the yeast biocontrol agent Metschnikowia fructicola, microarray analysis was performed on grapefruit surface wounds using an Affymetrix Citrus GeneChip. the data indicated that 1007 putative unigenes showed significant expression changes following wounding and yeast application relative to wounded controls. The expression of the genes encoding Respiratory burst oxidase (Rbo), mitogen-activated protein kinase (MAPK) and mitogen-activated protein kinase kinase (MAPKK), G-proteins, chitinase (CHI), phenylalanine ammonia-lyase (PAL), chalcone synthase (CHS) and 4-coumarate-CoA ligase (4CL). In contrast, three genes, peroxidase (POD), superoxide dismutase (SOD) and catalase (CAT), were down-regulated in grapefruit peel tissue treated with yeast cells. The yeast antagonists, Metschnikowia fructicola (strain 277) and Candida oleophila (strain 182) generate relatively high levels of super oxide anion (O2−) following its interaction with wounded fruit surface. Using laser scanning confocal microscopy we observed that the application of M. fructicola and C. oleophila into citrus and apple fruit wounds correlated with an increase in H2O2 accumulation in host tissue. The present data, together with our earlier discovery of the importance of H₂O₂ production in the defense response of citrus flavedo to postharvest pathogens, indicate that the yeast-induced oxidative response in fruit exocarp may be associated with the ability of specific yeast species to serve as biocontrol agents for the management of postharvest diseases. Effect of ROS on yeast cells was also studied. Pretreatment of the yeast, Candida oleophila, with 5 mM H₂O₂ for 30 min (sublethal) increased yeast tolerance to subsequent lethal levels of oxidative stress (50 mM H₂O₂), high temperature (40 °C), and low pH (pH 4). Suppression subtractive hybridization analysis was used to identify genes expressed in yeast in response to sublethal oxidative stress. Transcript levels were confirmed using semi quantitative reverse transcription-PCR. Seven antioxidant genes were up regulated. Pretreatment of the yeast antagonist Candida oleophila with glycine betaine (GB) increases oxidative stress tolerance in the microenvironment of apple wounds. ROS production is greater when yeast antagonists used as biocontrol agents are applied in the wounds. Compared to untreated control yeast cells, GB-treated cells recovered from the oxidative stress environment of apple wounds exhibited less accumulation of ROS and lower levels of oxidative damage to cellular proteins and lipids. Additionally, GB-treated yeast exhibited greater biocontrol activity against Penicillium expansum and Botrytis cinerea, and faster growth in wounds of apple fruits compared to untreated yeast. The expression of major antioxidant genes, including peroxisomal catalase, peroxiredoxin TSA1, and glutathione peroxidase was elevated in the yeast by GB treatment. A mild heat shock (HS) pretreatment (30 min at 40 1C) improved the tolerance of M. fructicola to subsequent high temperature (45 1C, 20–30 min) and oxidative stress (0.4 mol-¹) hydrogen peroxide, 20–60 min). HS-treated yeast cells showed less accumulation of reactive oxygen species (ROS) than non-treated cells in response to both stresses. Additionally, HS-treated yeast exhibited significantly greater (P≥0.0001) biocontrol activity against Penicillium expansum and a significantly faster (Po0.0001) growth rate in wounds of apple fruits stored at 25 1C compared with the performance of untreated yeast cells. Transcription of a trehalose-6-phosphate synthase gene (TPS1) was up regulated in response to HS and trehalose content also increased.
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