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Performance Investigations of Two Channel Readout Configurations on the Cross-Strip Cadmium Zinc Telluride Detector.
IEEE Trans Radiat Plasma Med Sci
November 2024
Department of Electrical and Computer Engineering, University of California, Santa Cruz, 95064.
In a detector system where the number of channels exceeds the number of channels available on an application-specific integrated circuit (ASIC), there is a need to configure channels among multiple ASICs to achieve the lowest electronic noise and highest count rate. In this work, two board configurations were designed to experimentally assess which one provides the more favorable performance. In the half-half configuration, contiguous channels from one edge to the center of CZT detector are read by one ASIC, and the other half are read by the other ASIC.
View Article and Find Full Text PDFEffects of Dual Tasks Including Gum Chewing on Prefrontal Cortex Activity.
Adv Exp Med Biol
October 2024
Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
The purpose of this study was to examine the effects on prefrontal cortex (PFC) activity of listening to pleasant sounds (PS) while walking, gum chewing (GCh), or performing the dual task of walking and gum chewing at the same time (walking + GCh). A total of 11 healthy adult male volunteers participated in the study (mean age: 29.54 ± 3.
View Article and Find Full Text PDFDeep spectral improvement for unsupervised image instance segmentation.
PLoS One
October 2024
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Recently, there has been growing interest in deep spectral methods for image localization and segmentation, influenced by traditional spectral segmentation approaches. These methods reframe the image decomposition process as a graph partitioning task by extracting features using self-supervised learning and utilizing the Laplacian of the affinity matrix to obtain eigensegments. However, instance segmentation has received less attention than other tasks within the context of deep spectral methods.
View Article and Find Full Text PDFSafety and effectiveness of dual channels vancomycin administration in the treatment of intracranial infection after severe brain injury surgery.
Medicine (Baltimore)
September 2024
Hulun Buir People's Hospital, Hulunbuir, China.
To observe the clinical efficacy and safety of vancomycin intravenous drip combined with vancomycin intrathecal injection in the treatment of intracranial infection after severe brain injury surgery. From January 2020 to June 2022, 80 patients with intracranial infection after severe brain injury surgery were selected and randomly divided into 2 subgroups; there were 40 patients in each subgroup. All patients were treated with vancomycin.
View Article and Find Full Text PDFBiRNN-DDI: A Drug-Drug Interaction Event Type Prediction Model Based on Bidirectional Recurrent Neural Network and Graph2Seq Representation.
J Comput Biol
July 2024
Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Research on drug-drug interaction (DDI) prediction, particularly in identifying DDI event types, is crucial for understanding adverse drug reactions and drug combinations. This work introduces a Bidirectional Recurrent Neural Network model for DDI event type prediction (BiRNN-DDI), which simultaneously considers structural relationships and contextual information. Our BiRNN-DDI model constructs drug feature graphs to mine structural relationships.
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