Application of the Time-Domain Multichromophoric Fluorescence Resonant Energy Transfer Method in the NISE Programme.

We present the implementation of the time-domain multichromophoric fluorescence resonant energy transfer (TC-MCFRET) approach in the numerical integration of the Schrödinger equation (NISE) program. This method enables the efficient simulation of incoherent energy transfer between distinct segments within large and complex molecular systems, such as photosynthetic complexes. Our approach incorporates a segmentation protocol to divide these systems into manageable components and a modified thermal correction to ensure detailed balance.

ColonNeXt: Fully Convolutional Attention for Polyp Segmentation.

This study introduces ColonNeXt, a novel fully convolutional attention-based model for polyp segmentation from colonoscopy images, aimed at the enhancing early detection of colorectal cancer. Utilizing a purely convolutional neural network (CNN), ColonNeXt integrates an encoder-decoder structure with a hierarchical multi-scale context-aware network (MSCAN) in the encoder and a convolutional block attention module (CBAM) in the decoder. The decoder further includes a proposed CNN-based feature attention mechanism for selective feature enhancement, ensuring precise segmentation.

Effect of aspirin on biomarker profile in women at high risk for preeclampsia.

Background: There is limited evidence in the literature regarding the temporal changes of preeclampsia-related biomarkers during pregnancy in high-risk women who develop preeclampsia despite the administration of aspirin prophylaxis.

Objective: This study aimed to compare the temporal changes in mean arterial pressure, uterine artery pulsatility index, placental growth factor, and soluble fms-like tyrosine kinase-1 across gestation in women identified as having high risk for preterm preeclampsia receiving aspirin prophylaxis and low-risk women without aspirin treatment.

Study Design: This was a prospective longitudinal nested case-control study of 2007 women with singleton pregnancies who participated in the first-trimester screen-and-prevent program for preeclampsia at the Prince of Wales Hospital, Hong Kong Special Administrative Region, China, between January 2020 and May 2023.

Nanorod structure tuning and defect engineering of MoO for high-performance SERS substrates.

In recent years, surface-enhanced Raman scattering (SERS) based on metal oxide semiconductors has been an active area of research and development, attracting significant scientific interest. These SERS substrates are known as plasmon-free SERS substrates because they are not based on noble metal nanoparticles but mainly on the defects, structure, and surface morphology of semiconductors to enhance the Raman signal. In this study, we fabricated a SERS substrate based on molybdenum oxide, using reactive DC magnetron sputtering and then used different simple and effective strategies to enhance the Raman signal.

Examining dimensions of career intentions: insights from medical and nursing students at a private not-for profit university in Vietnam.

Background: Understanding students' career intentions through evidence-based approaches is crucial for developing effective career guidance and intervention strategies. Although there has been considerable attention in this field, research remains limited, particularly in low- and middle-income countries (LMICs) in Asia. These regions have unique socioeconomic conditions and cultural norms that potentially shape decision-making processes.