Theory and application of temporal coupling mode for a SiC/CaF/Ag cell-based grating.

Tailoring spectral thermal radiation properties via multiple resonances excited by micro/nanoscale-patterned structures plays a vital role in designing functional emitters and devices. However, predicting thermal radiation properties of a structure with multiple resonances-via a fast and accurate algorithm-is still challenging because of the complex mode coupling effects of different resonances. Herein, we establish a temporal coupling mode (TCM) model for a SiC/CaF/Ag cell-based grating by extracting the intrinsic parameters and coupling constants of the resonances.

Theoretical analysis for estimating laser integrated linewidth via frequency-noise power spectral density.

The measurement of a laser linewidth is significant in metrology, coherent optical communications, high-resolution sensing, and LIDAR. Firstly, in this study, we theoretically explain why estimating an integrated linewidth via a frequency-noise power spectral density (PSD) is valid. We find that the previous methods estimating the integrated linewidth via the frequency-noise PSD result from Gaussian approximation and obtain a more general consequence.

Advances and Challenges in RAS Signaling Targeted Therapy in Leukemia.

RAS mutations are prevalent in leukemia, including mutations at G12, G13, T58, Q61, K117, and A146. These mutations are often crucial for tumor initiation, maintenance, and recurrence. Although much is known about RAS function in the last 40 years, a substantial knowledge gap remains in understanding the mutation-specific biological activities of RAS in cancer and the approaches needed to target specific RAS mutants effectively.

Atomic Dispersed Co on NC@Cu Core-Shells for Solar Seawater Splitting.

With freshwater resources becoming increasingly scarce, the photocatalytic seawater splitting for hydrogen production has garnered widespread attention. In this study, a novel photocatalyst consisting of a Cu core coated is introduced with N-doped C and decorated with single Co atoms (Co-NC@Cu) for solar to hydrogen production from seawater. This catalyst, without using noble metals or sacrificial agents, demonstrates superior hydrogen production effficiency of 9080 µmolgh, i.

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.

Health risk prediction aims to forecast the potential health risks that patients may face using their historical Electronic Health Records (EHR). Although several effective models have developed, data insufficiency is a key issue undermining their effectiveness. Various data generation and augmentation methods have been introduced to mitigate this issue by expanding the size of the training data set through learning underlying data distributions.

Causal effect of thyroid cancer on secondary primary malignancies: findings from the UK Biobank and FinnGen cohorts.

Background: Existing epidemiological data indicated a correlation between thyroid cancer (THCA) and the risk of secondary primary malignancies (SPMs). However, the correlation does not always imply causality.

Methods: The Mendelian randomization (MR) analyses were performed to investigate the causal relationships between THCA and SPMs based on international multicenter data.

The methyltransferase SETD3 regulates mRNA alternative splicing through interacting with hnRNPK.

The methyltransferase SETD3 is an enzyme essential for catalyzing histidine-73 methylation on β-Actin, thereby promoting its polymerization and regulating muscle contraction. Although increasing evidence suggests that SETD3 is involved in multiple physiological or pathological events, its biological functions remain incompletely understood. In this study, we utilize proximity labeling combined with mass spectrometry analysis to detect potential interacting partners of SETD3.

Causality between diabetes and membranous nephropathy: Mendelian randomization.

Background: Membranous nephropathy (MN) has not yet been fully elucidated regarding its relationship with Type I and II Diabetes. This study aims to evaluate the causal effect of multiple types of diabetes and MN by summarizing the evidence from the Mendelian randomization (MR) study.

Methods: The statistical data for MN was obtained from a GWAS study encompassing 7979 individuals.

Microbial diversity and potential functional dynamics within the rhizocompartments of .

Introduction: Understanding the microbial diversity and potential functional dynamics within the rhizocompartments of is crucial for unraveling the plant-microbe interactions that influence its medicinal properties.

Methods: This study is the first to characterize the microbiome associated with the rhizocompartments of , including its cultivation medium, rhizosphere, rhizoplane, and root endosphere, using high-throughput sequencing and subsequent bioinformatic analysis.

Results: Bacterial phylogenetic diversity was significantly higher in the endosphere than in the rhizosphere, while fungal α-diversity significantly decreased from the cultivation medium to the endosphere.

Cyanobacterial blooms prediction in China's large hypereutrophic lakes based on MODIS observations and Bayesian theory.

Cyanobacterial harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, water quality, and public health, particularly in large hypereutrophic lakes. Developing accurate short-term prediction models is essential for early warning and effective management of HABs. This study introduces a Bayesian-based model aimed at predicting HABs in three of China's large hypereutrophic lakes: Lake Taihu, Lake Chaohu, and Lake Hulunhu.