Publications by authors named "C Darling"

Optical projection tomography (OPT) is a three-dimensional mesoscopic imaging modality that can use absorption or fluorescence contrast, and is widely applied to fixed and live samples in the mm-cm scale. For fluorescence OPT, we present OPT implemented for accessibility and low cost, an open-source research-grade implementation of modular OPT hardware and software that has been designed to be widely accessible by using low-cost components, including light-emitting diode (LED) excitation and cooled complementary metal-oxide-semiconductor (CMOS) cameras. Both the hardware and software are modular and flexible in their implementation, enabling rapid switching between sample size scales and supporting compressive sensing to reconstruct images from undersampled sparse OPT data, e.

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Pediatric high-grade glioma (pHGG) including pediatric glioblastoma (pGBM) are highly aggressive pediatric central nervous system (CNS) malignancies. pGBM comprises approximately 3% of all pediatric CNS malignancies and has a 5-year survival rate of approximately 20%. Surgical resection and chemoradiation are often the standard of care for pGBM and pHGG, however, even with these interventions, survival for children diagnosed with pGBM and pHGG remains poor.

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Objective: This study aimed to extend the current literature by examining the patterns of indulgent parenting of both mothers and fathers and their associations with adolescents' basic psychological needs satisfaction, self-control, and self-efficacy.

Background: Indulgent parenting could be harmful for the development of psychological needs satisfaction and cognitive abilities when adolescents seek autonomy and gain emotional regulatory skills. Yet research is limited on investigating the patterns of indulgent parenting and their relationships to adolescents' psychological development.

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Background: Anticoagulants including direct oral anticoagulants (DOACs) are among the highest-risk medications in the United States. We postulated that routine consultation and follow-up from a clinical pharmacist would reduce clinically important medication errors (CIMEs) among patients beginning or resuming a DOAC in the ambulatory care setting.

Objective: To evaluate the effectiveness of a multicomponent intervention for reducing CIMEs.

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Article Synopsis
  • Deep learning has shown promise in enhancing the diagnosis of acutely decompensated heart failure (ADHF) through the analysis of ECG data, but past efforts have mainly relied on predefined ECG patterns in controlled settings.
  • This study created a new model, ECGX-Net, which combines raw ECG data and bioimpedance data from wearable devices to improve ADHF prediction using deep feature learning techniques.
  • The results indicated that ECGX-Net achieved a high precision in predicting ADHF (94% precision, 79% recall), while a simpler model using DenseNet121 was better for high recall tasks (98% recall, 80% precision), showcasing different strengths in ECG data analysis.
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