SurfRCaT: A tool for remote calibration of pre-existing coastal cameras to enable their use as quantitative coastal monitoring tools

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).

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Generic monitoring tools for water characteristics assessment

Water Science & Technology Water Supply ◽

10.2166/ws.2003.0124 ◽

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.

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

10.2196/preprints.17267 ◽

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.

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The case for tracking misinformation the way we track disease

Big Data & Society ◽

10.1177/20539517211013867 ◽

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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Remote Calibration of Time Scale Difference by Moving a Portable Cesium Clock

2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF) ◽

10.1109/ifcs-isaf41089.2020.9234863 ◽

2020 ◽

Author(s):

Wen-Hung Tseng ◽

Shinn-Yan Lin

Keyword(s):

Time Scale ◽

Scale Difference ◽

Remote Calibration

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Anthonomus rubi on Strawberry Fruit: Its Biology, Ecology, Damage, and Control from an IPM Perspective

Insects ◽

10.3390/insects12080701 ◽

2021 ◽

Vol 12 (8) ◽

pp. 701

Author(s):

Lorenzo Tonina ◽

Giulia Zanettin ◽

Paolo Miorelli ◽

Simone Puppato ◽

Andrew G. S. Cuthbertson ◽

...

Keyword(s):

Feeding Activity ◽

Host Feeding ◽

Mass Trapping ◽

Natural Habitats ◽

Potential Control ◽

North East ◽

Monitoring Tools ◽

Anthonomus Rubi ◽

And Control

The strawberry blossom weevil (SBW), Anthonomus rubi, is a well-documented pest of strawberry. Recently, in strawberry fields of Trento Province (north-east Italy), new noteworthy damage on fruit linked to SBW adults was observed, combined with a prolonged adult activity until the autumn. In this new scenario, we re-investigated SBW biology, ecology, monitoring tools, and potential control methods to develop Integrated Pest Management (IPM) strategies. Several trials were conducted on strawberry in the laboratory, field and semi-natural habitats. The feeding activity of adult SBW results in small deep holes on berries at different stages, causing yield losses of up to 60%. We observed a prolonged survival of newly emerged adults (>240 days) along with their ability to sever flower buds without laying eggs inside them in the same year (one generation per year). SBW adults were present in the strawberry field year-round, with movement between crop and no crop habitats, underlying a potential role of other host/feeding plants to support its populations. Yellow sticky traps combined with synthetic attractants proved promising for both adult monitoring and mass trapping. Regarding control, adhesive tapes and mass trapping using green bucket pheromone traps gave unsatisfactory results, while the high temperatures provided by the black fabric, the periodic removal of severed buds or adults and Chlorpyrifos-methyl application constrained population build-up. The findings are important for the development of an IPM strategy.

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Quality of life support in advanced cancer—web and technological interventions: systematic review and narrative synthesis

BMJ Supportive & Palliative Care ◽

10.1136/bmjspcare-2020-002820 ◽

2021 ◽

pp. bmjspcare-2020-002820

Author(s):

Kathleen Kane ◽

Fiona Kennedy ◽

Kate L Absolom ◽

Clare Harley ◽

Galina Velikova

Keyword(s):

Quality Of Life ◽

Advanced Cancer ◽

Life Support ◽

Well Being ◽

Narrative Synthesis ◽

Monitoring Tools ◽

Technological Interventions ◽

Cancer Trajectory ◽

Interactive Health Communication

BackgroundAs treatments continue to progress, patients with advanced cancer are living longer. However, ongoing physical side-effects and psychosocial concerns can compromise quality of life (QoL). Patients and physicians increasingly look to the internet and other technologies to address diverse supportive needs encountered across this evolving cancer trajectory.Objectives1. To examine the features and delivery of web and technological interventions supporting patients with advanced cancer. 2. To explore their efficacy relating to QoL and psychosocial well-being.MethodsRelevant studies were identified through electronic database searches (MEDLINE, PsychINFO, Embase, CINAHL, CENTRAL, Web of Science and ProQuest) and handsearching. Findings were collated and explored through narrative synthesis.ResultsOf 5274 identified records, 37 articles were included. Interventions were evaluated within studies targeting advanced cancer (13) or encompassing all stages (24). Five subtypes emerged: Interactive Health Communication Applications (n=12), virtual programmes of support (n=11), symptom monitoring tools (n=8), communication conduits (n=3) and information websites (n=3). Modes of delivery ranged from self-management to clinically integrated. Support largely targeted psychosocial well-being, alongside symptom management and healthy living. Most studies (78%) evidenced varying degrees of efficacy through QoL and psychosocial measures. Intervention complexity made it challenging to distinguish the most effective components. Incomplete reporting limited risk of bias assessment.ConclusionWhile complex and varied in their content, features and delivery, most interventions led to improvements in QoL or psychosocial well-being across the cancer trajectory. Ongoing development and evaluation of such innovations should specifically target patients requiring longer-term support for later-stage cancer.PROSPERO registration numberCRD42018089153.

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