A molecular dynamics (MD) simulation was employed to investigate structure features and segment orientation of four poly (phenylene vinylene) (PPV) derivatives with long, flexible side chains at room temperature. In the simulations, the main chains of the polymers were found to be semirigid and exhibit a tendency to coil into ellipsoidal helices or form zigzag conformations of limited regularity. The simulations show that continuous quasi-coplanar segments along the backbone are in a range of approximately 2-4 repeat units. The ordered orientation and coupling distance of interchain aromatic rings can be correlated with optical properties of materials. A simplified quantum-mechanical method was developed to investigate optical properties based on MD trajectories. The method was tested to simulate the absorption spectra of four PPV derivatives. The absorption maxima of the calculated spectra are in reasonable agreement with experimental data. This work implies that long-range electron transfer along the backbones of these polymers may not occur, but may be mediated by interchain interactions.
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http://dx.doi.org/10.1002/cphc.200300996 | DOI Listing |
JNCI Cancer Spectr
January 2025
Exact Sciences Corporation, Madison, WI, United States.
Background: Multi-cancer early detection (MCED) tests may expand cancer screening. Characterizing diagnostic resolution approaches following positive MCED tests is critical. Two trials employed distinct resolution approaches: a molecular signal to predict tissue of origin (TOO) and an imaging-based diagnostic strategy.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea.
Recent advancements in deep learning have significantly improved medical image segmentation. However, the generalization performance and potential risks of data-driven models remain insufficiently validated. Specifically, unrealistic segmentation predictions deviating from actual anatomical structures, known as a Seg-Hallucination, often occur in deep learning-based models.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Radiology, Peking Union Medical College Hospital [PUMCH], Chinese Academy of Medical Sciences & Peking Union Medical College [CAMS & PUMC], China.
Aims To evaluate the utility of unenhanced spectral imaging, electron density (ED) and overlay electron density (OED) images for assessing pulmonary embolisms in patients with suspected or confirmed acute pulmonary embolism (APE). Background Multiple spectral images can be extrapolated from spectral detector CT (SDCT), ED and OED images. ED and OED images are highly sensitive to moisture-rich tissues.
View Article and Find Full Text PDFPediatr Res
January 2025
Emma Children's Hospital Amsterdam UMC, location University of Amsterdam, Follow-Me program & Emma Neuroscience group, Meibergdreef 9, Amsterdam, The Netherlands.
Background: Outcome prediction after preterm birth is important for long-term neonatal care, but has proven notoriously challenging for neurocognitive outcome. This study investigated the potential of machine learning to improve neurocognitive outcome prediction at two and five years of corrected age in preterm infants, using readily available predictors from the neonatal setting.
Methods: Predictors originating from the antenatal and neonatal period of preterm infants born <30 weeks gestation were used to predict adverse neurocognitive outcome on the Bayley Scale and Wechsler Preschool and Primary Scale of Intelligence.
Gland Surg
December 2024
Department of Radiology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Background: Axillary lymph node metastasis (ALNM) is a significant predictor of overall patient survival; thus, precise evaluation of ALNM is essential for staging breast cancer, informing multimodal treatment strategies, and ensuring optimal patient care. This study aimed to establish a magnetic resonance imaging (MRI) scoring system for predicting extensive axillary nodal metastasis in patients with clinically node-negative breast cancer derived from preoperative breast and axillary MRI.
Methods: This study included 226 patients with clinically node-negative breast cancer who underwent preoperative breast and axillary MRI between January 1, 2010 and December 31, 2020 at King Chulalongkorn Memorial Hospital.
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