Regular medication reviews for children and young people with ADHD

The National Institute for Health and Care Excellence's (2008) guidelines for the diagnosis and management of attention deficit hyperactivity disorder (ADHD) recommend a full clinical and psychological assessment by an appropriately trained clinician; this should include a detailed developmental and psychiatric history. Stimulant medications, which are Schedule II controlled drugs, are the most commonly prescribed medicines in the UK and across the world for the management of ADHD. Children and young people with a diagnosis of ADHD receiving these stimulant medications are required to attend regular review appointments with a consultant child and adolescent psychiatrist or specialist nurse under shared care guidelines with general practices, and it has long been recognized that appropriately educated nurses can assist in the management of ADHD. Owing to the pharmacological action of the stimulant medication on neurotransmission, there is potential for misuse and dependence. A growing body of evidence suggests that adolescents with ADHD can become involved in drug diversion and that the topic should be explored during assessment. The level of misuse of prescribed stimulants is increasing, and adolescents and young people with ADHD may misuse to enhance cognitive function for academic purposes. The following scenario highlights some of the challenges and opportunities for independent nurse prescribers working in child and adolescent mental health services.

Operators for Similarity Search: Semantics, Techniques and Usage Scenarios

This book provides a comprehensive tutorial on similarity operators. The authors systematically survey the set of similarity operators, primarily focusing on their semantics, while also touching upon mechanisms for processing them effectively.

The book starts off by providing introductory material on similarity search systems, highlighting the central role of similarity operators in such systems. This is followed by a systematic categorized overview of the variety of similarity operators that have been proposed in literature over the last two decades, including advanced operators such as RkNN, Reverse k-Ranks, Skyline k-Groups and K-N-Match. Since indexing is a core technology in the practical implementation of similarity operators, various indexing mechanisms are summarized. Finally, current research challenges are outlined, so as to enable interested readers to identify potential directions for future investigations.

In summary, this book offers a comprehensive overview of the field of similarity search operators, allowing readers to understand the area of similarity operators as it stands today, and in addition providing them with the background needed to understand recent novel approaches.

Improving Recall of Regular Expressions for Information Extraction

Learning or writing regular expressions to identify instances of a specific
concept within text documents with a high precision and recall is challenging.
It is relatively easy to improve the precision of an initial regular expression
by identifying false positives covered and tweaking the expression to avoid the
false positives. However, modifying the expression to improve recall is difficult
since false negatives can only be identified by manually analyzing all documents,
in the absence of any tools to identify the missing instances. We focus on partially
automating the discovery of missing instances by soliciting minimal user
feedback. We present a technique to identify good generalizations of a regular
expression that have improved recall while retaining high precision. We empirically
demonstrate the effectiveness of the proposed technique as compared to
existing methods and show results for a variety of tasks such as identification of
dates, phone numbers, product names, and course numbers on real world datasets