Space Methods and Monitoring Tools for the Investigation of Aquatic Systems

2020 ◽  
pp. 195-294
Author(s):  
Costas A. Varotsos ◽  
Vladimir F. Krapivin
Keyword(s):  
Aquatic Systems ◽  
Monitoring Tools

RTI Progress Monitoring Tools

ASHA Leader ◽  
2010 ◽  
Vol 15 (11) ◽  
pp. 12-15 ◽  
Author(s):  
Sandra Laing Gillam ◽  
Laura Justice
Keyword(s):  
Progress Monitoring ◽  
Monitoring Tools

In FAB 300mm Wafer Level Atomic Force Probe Characterization

2012 ◽  
Author(s):  
Terence Kane
Keyword(s):  
Electrical Characterization ◽  
Dark Field ◽  
Wafer Level ◽  
Electrical Measurements ◽  
Manufacturing Line ◽  
Atomic Force ◽  
Monitoring Tools ◽  
Voltage Contrast ◽  
The Cost ◽  
Non Destructive

Abstract A 300mm wafer atomic force prober (AFP) has been installed into IBM’s manufacturing line to enable rapid, nondestructive electrical identification of defects. Prior to this tool many of these defects could not detected until weeks or months later. Moving failure analysis to the FAB provides a means of complementing existing FAB inspection and defect review tools as well as providing independent, non-destructive electrical measurements at an early point in the manufacturing cycle [1] Once the wafer sites are non destructively AFP characterized, the wafer is returned to its front opening unified pod (FOUP) carrier and may be reintroduced into the manufacturing line without disruption for further inspection or processing. Whole wafer atomic force probe electrical characterization has been applied to 32nm, 28nm, 20nm and 14nm node technologies. In this paper we explore the cost benefits of performing non-destructive AFP measurements on whole wafers. We have found the methodology of employing a whole wafer AFP tool complements existing in-line manufacturing monitoring tools such as brightfield/dark field optical inspection, SEM in-line inspection and in-line E-beam voltage contrast inspection (EBI).

Fate of Colloidal-Particulate Elemental Selenium in Aquatic Systems

2004 ◽  
Vol 33 (2) ◽  
pp. 559 ◽  
Author(s):  
Yiqiang Zhang ◽  
Zahir A. Zahir ◽  
William T. Frankenberger
Keyword(s):  
Aquatic Systems ◽  
Elemental Selenium

Generic monitoring tools for water characteristics assessment

2003 ◽  
Vol 3 (1-2) ◽  
pp. 351-357
Author(s):  
S. Le Bonté ◽  
M.-N. Pons ◽  
O. Potier ◽  
S. Chanel ◽  
M. Baklouti
Keyword(s):  
Municipal Wastewater ◽  
Principal Component ◽  
Toxic Substances ◽  
Capacity Curves ◽  
Water Characteristics ◽  
Monitoring Tools ◽  
Visible Spectra ◽  
On Line ◽  
Mining Procedure

An adaptive principal component analysis applied to sets of data provided by global analytical methods (UV-visible spectra, buffer capacity curves, respirometric tests) is proposed as a generic procedure for on-line and fast characterization of wastewater. The data-mining procedure is able to deal with a large amount of information, takes into account the normal variations of wastewater composition related to human activity, and enables a rapid detection of abnormal situations such as the presence of toxic substances by comparison of the actual wastewater state with a continuously updated reference. The procedure has been validated on municipal wastewater.

Engagement patterns of users and providers: a study of messaging on app usage in a smartphone app for the treatment of eating disorders (Preprint)

2020 ◽  
Author(s):  
Jane Kim ◽  
Jisung Park ◽  
Jenna Tregarthen
Keyword(s):  
Eating Disorders ◽  
Health Care Providers ◽  
Digital Health ◽  
Communication Styles ◽  
Care Providers ◽  
Digital Tool ◽  
Self Monitoring ◽  
Multiple Phenotypes ◽  
Monitoring Tools ◽  
Level Data

BACKGROUND By offering the ability to immediately communicate with health care providers, digital health apps may significantly bolster the therapeutic relationship. Increasing opportunities of engagement with a digital tool, self-monitoring tools show confer promise in allowing patients to go through periods in between in-clinic visits. Little is known however, regarding the usage of the apps and whether communication between providers and app users in fact encourages usage. OBJECTIVE The objective of this study was to investigate the users of an app for eating disorders and summarize the characteristics of usage, characteristics of communication (i.e. messages sent and received), and assess whether the degree of communication and the degree of app usage (of the main features of the app precluding provider contact) were related. METHODS Users of an app for eating disorders (Tregarthen et al) consented for their de-identified, aggregate level data to be utilized for research. Records of five hundred users were randomly sampled from May 2017 to July 2017. All users in the sampled cohort were linked to a clinician. Raw data included 97,732 observations of meal logs submitted via app across 500 individuals. RESULTS Our data demonstrated a high degree of variability across users in their engagement patterns of the app. Receiving more messages on average had a greater effect on usage than sending messages, implying that being checked in on by clinicians may encourage users to engage more with their app. Data also demonstrated that there were multiple phenotypes in terms of preferences regarding communication – while a portion of users seemed to benefit, a large minority did not demonstrate a change in usage based on the frequency of communication. CONCLUSIONS Understanding usage phenotypes can be instrumental in helping clinician and apps understand who their user is. This work demonstrates that variability among the user population in terms of usage and communication styles, as well as usage and behavior. This information can ultimately be leveraged for guiding effective treatment delivery.

CHARACTERIZATION AND QUANTIFICATION OF DISSOLVED ORGANIC PHOSPHORUS IN AQUATIC SYSTEMS

2016 ◽  
Author(s):  
Kelly M. McCabe ◽  
◽  
Doug Bell ◽  
Claudia Benitez-Nelson
Keyword(s):  
Organic Phosphorus ◽  
Aquatic Systems ◽  
Dissolved Organic Phosphorus

The waterscape at high altitudes

2017 ◽  
Author(s):  
Dean Jacobsen ◽  
Olivier Dangles
Keyword(s):  
High Altitude ◽  
Regional Climate ◽  
Water Source ◽  
Aquatic Systems ◽  
Running Waters ◽  
High Altitudes ◽  
Different Types ◽  
Geological Origin ◽  
Broad Variety ◽  
The Tropics

Chapter 2 presents the amazing variety of running waters, lakes, ponds, and wetlands found at high altitudes. These waterbodies are not equally distributed among the world’s high altitude places, but tend to be concentrated in certain areas, primarily determined by regional climate and topography. Thus, a large proportion of the world’s truly high altitude aquatic systems are found at lower latitudes, mostly in the tropics. The chapter presents general patterns in the geographical distribution of high altitude waters, and gives examples of some of the most extreme systems. High altitude aquatic systems and habitats cover a broad variety in dynamics and physical appearance. These differences may be related to, for example, water source (glacier-fed, rain-fed, or groundwater-fed streams), geological origin (e.g. glacial, volcanic, or tectonic lakes), or catchment slope and altitude (different types of peatland wetlands). This is exemplified and richly illustrated through numerous photos.

Development of a new analytical approach based on cellulose membrane and chelator for differentiation of labile and inert metal species in aquatic systems

2006 ◽  
Vol 567 (2) ◽  
pp. 152-159 ◽  
Author(s):  
André Henrique Rosa ◽  
Iramaia C. Bellin ◽  
Danielle Goveia ◽  
Luciana C. Oliveira ◽  
Roberto W. Lourenço ◽  
...  
Keyword(s):  
Analytical Approach ◽  
Aquatic Systems ◽  
Metal Species ◽  
Cellulose Membrane

scholarly journals The case for tracking misinformation the way we track disease

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110138
Author(s):  
Erika Bonnevie ◽  
Jennifer Sittig ◽  
Joe Smyser
Keyword(s):  
Public Health ◽  
Real Time ◽  
Supervised Machine Learning ◽  
Disease Spread ◽  
The Public ◽  
Monitoring Tools ◽  
Core Function ◽  
Public Health Organizations ◽  
Front Line Workers ◽  
Media Data

While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate and code millions of conversations relating to vaccines and the COVID-19 pandemic broadly, in real-time. Public health researchers supervise this process daily, and provide insights to practitioners across a range of disciplines. Through this work, we have gleaned three lessons to address misinformation. (1) Sources of vaccine misinformation are known; there is a need to operationalize learnings and engage the pro-vaccination majority in debunking vaccine-related misinformation. (2) Existing systems can identify and track threats against health experts and institutions, which have been subject to unprecedented harassment. This supports their safety and helps prevent the further erosion of trust in public institutions. (3) Responses to misinformation should draw from cross-sector crisis management best practices and address coordination gaps. Real-time monitoring and addressing misinformation should be a core function of public health, and public health should be a core use case for data scientists developing monitoring tools. The tools to accomplish these tasks are available; it remains up to us to prioritize them.

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