Purpose: To create and implement a next-generation, custom data logger to automatically track modified ride-on car (MROC) use in home and community settings, establish feasibility of long-term remote collection of community MROC use data, describe trends of MROC use, and explore parent perception of the MROC.
Methods: In this descriptive study, a custom data logger was constructed and integrated into MROCs using an Arduino Pro-Mini microprocessor to capture real-time use data remotely.
Results: It is feasible to automatically track MROC use in home and community settings. On average, MROC use trends appear consistent with caregiver reports and show higher initial use with steadily decreasing frequency over time, and varying bout duration and play session length, despite favorable caregiver perceptions of the cars.
Conclusions: Remote tracking of MROC use may decrease burden on busy families and provide clinicians with valuable technology use data.
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http://dx.doi.org/10.1097/PEP.0000000000001064 | DOI Listing |
Jpn J Clin Oncol
January 2025
Division of Molecular and Cellular Oncology, Miyagi Cancer Center Research Institute, 47-1 Nodayama, Medeshima-Shiode, Natori, Miyagi 981-1293, Japan.
A Japanese woman with Li-Fraumeni syndrome in her 40s underwent comprehensive genetic profiling accompanied by germline data using the Oncoguide NCC Oncopanel, but no germline pathogenic variants in the tumor suppressor gene TP53 were detected. However, careful examination of additional data in the report suggested the presence of a large TP53 deletion. Custom targeting next-generation sequencing and nanopore sequencing revealed a 3.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Health Policy and Management, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Family physician program is one of the effective reforms of the health system in Iran, but despite the implementation of this program in rural areas and the passage of ten years since its implementation in two provinces of Fars and Mazandaran, its implementation has faced problems. The aim of this study is to identify and prioritize implementation solutions related to the challenges of the family physician program in Iran.
Methods: This is a qualitative study using semi-structured interviews with 22 snowball-sampled experts and managers of basic health insurers to extract problems and executive solutions through coding and data analysis using Atlas Ti software and content analysis in the first stage.
Nat Commun
January 2025
Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Chronic lymphocytic leukemia is a malignant lymphoproliferative disorder for which primary or acquired drug resistance represents a major challenge. To investigate the underlying molecular mechanisms, we generate a mouse model of ibrutinib resistance, in which, after initial treatment response, relapse under therapy occurrs with an aggressive outgrowth of malignant cells, resembling observations in patients. A comparative analysis of exome, transcriptome and proteome of sorted leukemic murine cells during treatment and after relapse suggests alterations in the proteasome activity as a driver of ibrutinib resistance.
View Article and Find Full Text PDFJ Prosthet Dent
January 2025
Professor, Department of Ophthalmology, King George's Medical University, Lucknow, India.
Statement Of Problem: Clinical studies evaluating the levels of interleukin-1 beta (IL-1β) in tears and conjunctival secretions of patients with ocular defects after using ocular prostheses are lacking. Therefore, a comparative evaluation of IL-1β levels in the defective eye before and after placement of an ocular prosthesis is needed.
Purpose: The purpose of this clinical study was to compare the microbiota and IL-1β in tears and conjunctival secretions of patients with an ocular defect after using an ocular prosthesis.
Am J Orthod Dentofacial Orthop
February 2025
Department of Orthodontics, Faculty of Dentistry, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Introduction: This study aimed to assess the precision of an open-source, clinician-trained, and user-friendly convolutional neural network-based model for automatically segmenting the mandible.
Methods: A total of 55 cone-beam computed tomography scans that met the inclusion criteria were collected and divided into test and training groups. The MONAI (Medical Open Network for Artificial Intelligence) Label active learning tool extension was used to train the automatic model.
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