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Nurses and Missing People
The good nurse knows that some things are out of their control.
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Identifying people with tuberculosis and linking to care: finding the missing millions — meet the guest editors
In this Q&A, Rachael Burke and Finn McQuaid answer questions about their research fields and share their experiences of guest-editing the journal’s...
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Examining the Impact of Dedicated Missing Person Teams on the Multiagency Response to Missing Children
Some police forces are investing resources into dedicated missing person teams (MPTs) to improve risk assessment and responsibility sharing across...
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Counterfactual analysis of the impact of the first two waves of the COVID-19 pandemic on the reporting and registration of missing people in India
The primary duty of law enforcement agencies is to ensure that a victim has the necessary information and access to the relevant tools required to...
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Relationship between reasons for intermittent missing patient-reported outcomes data and missing data mechanisms
PurposeNon-response (NR) to patient-reported outcome (PRO) questionnaires may cause bias if not handled appropriately. Collecting reasons for NR is...
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Confirmatory factor analysis with missing data in a small sample: cognitive reserve in people with Down Syndrome
The presence of missing data and small sample sizes are very common in social and health sciences. Concurrently to present a methodology to solve the...
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Syntactic representation of missing-verb anomalous utterances in Mandarin: Evidence from structural priming
Theories of how people interpret utterances with verb-related anomalies are chiefly based on English, but relatively little is known about the...
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Missing Poor in the U.S.
Given that poor individuals face worse survival conditions than non-poor individuals, one can expect that a steeper income gradient in mortality...
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Generative Models for Missing Data
Missing data poses an ubiquitous challenge across a wide range of applications, stemming from a multitude of causes that are both diverse and...
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Contrasting obesity: is something missing here?
The fight against obesity is largely based on recommendations about lifestyle and therapies to initiate weight loss and, hopefully, to achieve and...
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The missing risks of climate change
The risks of climate change are enormous, threatening the lives and livelihoods of millions to billions of people. The economic consequences of many...
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Associations between missing teeth and the risk of cancer in Korea: a nationwide cohort study
BackgroundPoor dental health is correlated with an increased risk of cancer. Using a nationwide population cohort database, we investigated which...
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Iterative missing value imputation based on feature importance
Many datasets suffer from missing values due to various reasons, which not only increases the processing difficulty of related tasks but also reduces...
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Expert System with Facial Recognition Implemented in Human-Machine Conversation Services for the Automation of Multi-platform Remote Processes in the Identification of People Reported Missing
In Ecuador, the disappearance of people is a problem experienced by thousands of families. However, the advancement of technologies promotes the...
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Data Mining of Missing Persons Data
This paper presents the results of analysis to evaluate the effectiveness of data mining techniques to predict the outcome for missing persons cases....
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Missing and Exploited Youth
For decades it has been called “A parent’s worst nightmare,” that churning and spinning moment when a parent is missing their child. For some...
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An interactive robot design to find missing people and inform their location by real-time face recognition system on moving images
In every country over the world, missing children and adults is a social problem. This problem affects both the relatives of the missing people and...
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When Do People Obey Laws? Towards an Integrated Approach to Compliance
This book examines the intricate dynamics of when individuals adhere to laws, taking into account the context in which laws attempt to shape human...
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Robustness of Multiple Imputation Methods for Missing Risk Factor Data from Electronic Medical Records for Observational Studies
Evaluating appropriate methodologies for imputation of missing outcome data from electronic medical records (EMRs) is crucial but lacking for...
