scholarly journals Biomarkers and Detection Platforms for Human Health and Performance Monitoring: A Review

2022 ◽  
pp. 2104426
Author(s):  
Daniel Sim ◽  
Michael C. Brothers ◽  
Joseph M. Slocik ◽  
Ahmad E. Islam ◽  
Benji Maruyama ◽  
...  
Keyword(s):  
Human Health ◽  
Performance Monitoring ◽  
And Performance

Social Technology: A Compendium of Short Cases

2015 ◽  
Vol 31 (4) ◽  
pp. 417-430
Author(s):  
Brett Considine ◽  
John Peter Krahel ◽  
Margarita M. Lenk ◽  
Diane J. Janvrin
Keyword(s):  
Financial Reporting ◽  
Internal Control ◽  
Technology Use ◽  
Performance Monitoring ◽  
Regulatory Compliance ◽  
Social Technology ◽  
Student Groups ◽  
Accounting Information Systems ◽  
And Performance ◽  
Technology Strategies

ABSTRACT Seven short cases highlight the need for organizational control of the use of social technology. Executives now consider the management of social technology strategies and risks to be their fourth highest priority, investing significant resources to develop effective social technology use policies (Carrick et al. 2013; Deloitte 2012; Feltham and Nichol 2012). Moreover, organizations vary their social technology investment choices depending on their objectives and their target audiences (AICPA 2013; Gallaugher and Ransbotham 2010; Kaplan and Haenlein 2010). A wide variety of case learning objectives involve applying internal control models, and developing and justifying opinions about how social technology uses and abuses affect operational, financial reporting and regulatory compliance objectives, risks, controls, and performance-monitoring activities. Instructors may utilize one or more of these cases at a time, either individually or in student groups, and in undergraduate or graduate financial accounting, accounting information systems, governance, or auditing courses.

Programmable Integrated Photonics

2020 ◽  
Author(s):  
José Capmany ◽  
Daniel Pérez
Keyword(s):  
Integrated Circuit ◽  
Performance Monitoring ◽  
Low Cost ◽  
Limiting Factors ◽  
External Control ◽  
Integrated Photonics ◽  
New Paradigm ◽  
Photonic Integrated Circuit ◽  
And Performance ◽  
Application Fields

Programmable Integrated Photonics (PIP) is a new paradigm that aims at designing common integrated optical hardware configurations, which by suitable programming can implement a variety of functionalities that, in turn, can be exploited as basic operations in many application fields. Programmability enables by means of external control signals both chip reconfiguration for multifunction operation as well as chip stabilization against non-ideal operation due to fluctuations in environmental conditions and fabrication errors. Programming also allows activating parts of the chip, which are not essential for the implementation of a given functionality but can be of help in reducing noise levels through the diversion of undesired reflections. After some years where the Application Specific Photonic Integrated Circuit (ASPIC) paradigm has completely dominated the field of integrated optics, there is an increasing interest in PIP justified by the surge of a number of emerging applications that are and will be calling for true flexibility, reconfigurability as well as low-cost, compact and low-power consuming devices. This book aims to provide a comprehensive introduction to this emergent field covering aspects that range from the basic aspects of technologies and building photonic component blocks to the design alternatives and principles of complex programmable photonics circuits, their limiting factors, techniques for characterization and performance monitoring/control and their salient applications both in the classical as well as in the quantum information fields. The book concentrates and focuses mainly on the distinctive features of programmable photonics as compared to more traditional ASPIC approaches.

Remote Thermal Performance Monitoring and Diagnostics: Turning Data Into Knowledge

2013 ◽  
Author(s):  
Xiaomo Jiang ◽  
Craig Foster
Keyword(s):  
Anomaly Detection ◽  
Gas Turbines ◽  
Performance Monitoring ◽  
Combined Cycle ◽  
Integrated System ◽  
Site Specific ◽  
Performance Improvements ◽  
Maintenance Schedule ◽  
Effectiveness Monitoring ◽  
And Performance

Gas turbine simple or combined cycle plants are built and operated with higher availability, reliability, and performance in order to provide the customer with sufficient operating revenues and reduced fuel costs meanwhile enhancing customer dispatch competitiveness. A tremendous amount of operational data is usually collected from the everyday operation of a power plant. It has become an increasingly important but challenging issue about how to turn this data into knowledge and further solutions via developing advanced state-of-the-art analytics. This paper presents an integrated system and methodology to pursue this purpose by automating multi-level, multi-paradigm, multi-facet performance monitoring and anomaly detection for heavy duty gas turbines. The system provides an intelligent platform to drive site-specific performance improvements, mitigate outage risk, rationalize operational pattern, and enhance maintenance schedule and service offerings via taking appropriate proactive actions. In addition, the paper also presents the components in the system, including data sensing, hardware, and operational anomaly detection, expertise proactive act of company, site specific degradation assessment, and water wash effectiveness monitoring and analytics. As demonstrated in two examples, this remote performance monitoring aims to improve equipment efficiency by converting data into knowledge and solutions in order to drive value for customers including lowering operating fuel cost and increasing customer power sales and life cycle value.

scholarly journals Health and performance monitoring of the online computer cluster of CMS

2012 ◽  
Vol 396 (4) ◽  
pp. 042049
Author(s):  
G Bauer ◽  
U Behrens ◽  
O Bouffet ◽  
M Bowen ◽  
J Branson ◽  
...  
Keyword(s):  
Performance Monitoring ◽  
Computer Cluster ◽  
And Performance

Solar Photovoltaic Water Pumping to Alleviate Drought in Remote Locations

2006 ◽  
Author(s):  
Kala Meah ◽  
Steven Fletcher ◽  
Yu Wan ◽  
Sadrul Ula
Keyword(s):  
Performance Monitoring ◽  
Cost Effective ◽  
Small Scale ◽  
Solar Water ◽  
Small Water ◽  
Water Pumping ◽  
Western Us ◽  
Water Right ◽  
And Performance ◽  
The University

Many parts of the western US is rural in nature and consequently do not have electrical distribution lines in many parts of farms and ranches. Distribution line extension costs can run from $15,000 to $25,000 per mile, thereby making availability of electricity to small water pumping projects economically unattractive. Solar photo-voltaic (PV) powered water pumping is more cost effective in these small scale applications. Many western states including Wyoming are passing through fifth year of drought with the consequent shortages of water for many applications. Wyoming State Climatologist is predicting a possible 5–10 years of drought. Drought impacts the surface water right away, while it takes much longer to impact the underground aquifers. To mitigate the effect on the livestock and wildlife, Wyoming Governor Dave Freudenthal initiated a solar water pumping initiative in cooperation with the University of Wyoming, County Conservation Districts, Rural Electric Cooperatives, and ranching organizations. Solar water pumping has several advantages over traditional systems; for example, diesel or propane engines require not only expensive fuels, they also create noise and air pollution in many remote pristine areas. Solar systems are environment friendly, low maintenance and have no fuel cost. In this paper the design, installation and performance monitoring of the solar system for small scale remote water pumping will be presented.

scholarly journals Routine Health Information System Utilization for Evidence-Based Decision Making in Amhara National Regional State, Northwest Ethiopia: a multi-level analysis.

2020 ◽  
Author(s):  
Moges Asressie Chanyalew ◽  
Mezgebu Yitayal ◽  
Asmamaw Atnafu ◽  
Binyam Tilahun
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Performance Monitoring ◽  
Health Information System ◽  
Evidence Based ◽  
Department Heads ◽  
Target Setting ◽  
Work Location ◽  
And Performance

Abstract Background: Health Information System (HIS) is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it in 2017. However, the evidence is meager on the use of routine health information for decision making among department heads in the health facilities. The study aimed to assess the proportion of routine health information systems utilization for evidence-based decisions and factors associated with it. Method: A cross-sectional study was carried out among 386 department heads from 83 health facilities in ten selected districts in the Amhara region Northwest of Ethiopia from April to May 2019. The study participants were selected using a simple random sampling technique. Descriptive statistics mean and percentage were calculated. The study employed a generalized linear mixed-effect model. Adjusted Odds Ratio (AOR) and the 95% CI were calculated. Variables with p-value <0.05 were considered as predictors of routine health information system use. Result: Proportion of information use among department heads for decision making was estimated at 46%. Displaying demographic (AOR= 12.42, 95% CI: [5.52, 27.98]) and performance (AOR= 1.68; 95% CI: [1.33, 2.11]) data for monitoring, and providing feedback to HMIS unit (AOR= 2.29; 95% CI: [1.05, 5.00]) were individual (level-1) predictors. Maintaining performance monitoring team minute (AOR= 3.53; 95% CI: [1.61, 7.75]), receiving senior management directives (AOR= 3.56; 95% CI: [1.76, 7.19]), supervision (AOR= 2.84; 95% CI: [1.33, 6.07]), using HMIS data for target setting (AOR= 3.43; 95% CI: [1.66, 7.09]), and work location (AOR= 0.16; 95% CI: [0.07, 0.39]) were organizational (level-2) explanatory variables. Conclusion: The proportion of routine health information utilization for decision making was low. Displaying demographic and performance data, providing feedback to HMIS unit, maintaining performance monitoring team minute, conducting supervision, using HMIS data for target setting, and work location were factors associated with the use of routine health information for decision making. Therefore, strengthening the capacity of department heads on data displaying, supervision, feedback mechanisms, and engagement of senior management are highly recommended.

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