Questionnaire survey on the conceptual framework, optimal evaluation, and support measures for children's language disorders in Japan using the Delphi method.

Objectives: To compile the opinions of native Japanese speakers on the conceptual framework, optimal evaluation, and support measures for children with language disorders to devise materials on which a consensus can be formed.

Design: A quantitative descriptive study using the Delphi method.

Setting: Using the Delphi method, 43 clinicians with at least 15 years of experience working professionally with children's language disorders in Japan were surveyed three times via a web-based questionnaire.

A Communication-Efficient Secure Routing Protocol for IoT Networks.

This paper proposes a secure routing protocol based on an ad hoc on-demand distance vector to simultaneously achieve communication efficiency and security. Many studies have discussed secure protocols. However, conventional protocols tend to exhibit low communication efficiencies owing to the long packets required by digital signatures, specifically in large-scale networks.

Clinical evaluation of an authorized medical equipment based on high performance liquid chromatography for measurement of serum voriconazole concentration.

Background: Therapeutic drug monitoring for voriconazole is recommended for its optimum pharmacotherapy. Although the feedback of the measurement result of serum voriconazole concentration by outsourcing needs a certain time (days within a 1 week), there was no medical equipment for the measurement available in clinical practice. Recently, a medical equipment based on high performance liquid chromatography, named LM1010, has been developed and authorized for clinical use.

Image Captioning Using Motion-CNN with Object Detection.

Automatic image captioning has many important applications, such as the depiction of visual contents for visually impaired people or the indexing of images on the internet. Recently, deep learning-based image captioning models have been researched extensively. For caption generation, they learn the relation between image features and words included in the captions.

A case of recovery from aphasia following dose reduction of cefepime by bayesian prediction-based therapeutic drug monitoring.

Cefepime is known to exert bactericidal activity against Pseudomonas aeruginosa. Cefepime-induced neurotoxicity, most likely caused by increased exposure, has recently become a major concern in clinical practice; therefore, appropriate dose reduction of cefepime should be applied with respect to patients with low cefepime clearance (mostly eliminated by the kidneys). Here, we report a case in which Bayesian prediction-based therapeutic drug monitoring (Bayes-TDM) was effectively used to reduce the dose of cefepime in a patient with pneumonia to prevent neurotoxic complications.